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5. Operational definition of Active and Healthy Ageing (AHA): A conceptual framework

Author

Bousquet, Jean, Kuh, D., Bewick, M., Standberg, T., Farrell, J., Pengelly, R., Joel, M. E., Rodriguez Mañas, L., Mercier, J., Bringer, J., Camuzat, T., Bourret, R., Bedbrook, A., Kowalski, M. L., Samolinski, B., Bonini, S., Brayne, C., Michel, J. P., Venne, J., Viriot-Durandal, P., Alonso, J., Avignon, A., Ben-Shlomo, Y., Bousquet, P. J., Combe, B., Cooper, R., Hardy, R., Iaccarino, G., Keil, T., Kesse-Guyot, E., Momas, I., Ritchie, K., Robine, J. M., Thijs, C., Tischer, C., Vellas, B., Zaidi, A., Alonso, F., Andersen Ranberg, K., Andreeva, V., Ankri, J., Arnavielhe, S., Arshad, H., Augé, P., Berr, C., Bertone, P., Blain, H., Blasimme, A., Buijs, G. J., Caimmi, D., Carriazo, A., Cesario, A., Coletta, J., Cosco, T., Criton, M., Cuisinier, F., Demoly, P., Fernandez-Nocelo, S., Fougère, B., Garcia-Aymerich, J., Goldberg, M., Guldemond, N., Gutter, Z., Harman, D., Hendry, A., Heve, D., Illario, M., Jeande, C., Krauss-Etschmann, S., Krys, O., Kula, D., Laune, D., Lehmann, S., Maier, D., Malva, J., Matignon, P., Melen, E., Mercier, G., Moda, G., Nizinkska, A., Nogues, M., O’Neill, M., Pelissier, J. Y., Poethig, D., Porta, D., Postma, D., Puisieux, F., Richards, M., Robalo-Cordeiro, C., Romano, V., Roubille, F., Schulz, H., Scott, A., Senesse, P., Slagter, S., Smit, H. A., Somekh, D., Stafford, M., Suanzes, J., Todo-Bom, A., Touchon, J., Traver-Salcedo, V., Van Beurden, M., Varraso, R., Vergara, I., Villalba-Mora, E., Wilson, N., Wouters, E., and Zins, M.

Published
2015
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7. Operationalising resilience in longitudinal studies: a systematic review of methodological approaches

Author

Cosco, T, Kaushal, A, Hardy, R, Richards, M, Kuh, D, and Stafford, M

Subjects
Gerontology, Aging, Theory and Methods, Psychometrics, Epidemiology, Process (engineering), Applied psychology, Acknowledgement, AGEING, Scopus, Context (language use), 03 medical and health sciences, 0302 clinical medicine, Adaptation, Psychological, Humans, Medicine, Longitudinal Studies, 030212 general & internal medicine, Resilience (network), business.industry, Operational definition, Public Health, Environmental and Occupational Health, Resilience, Psychological, Research Design in Epidemiology, Epidemiological methods, Life course approach, business, Inclusion (education), 030217 neurology & neurosurgery
Abstract

Over the life course, we are invariably faced with some form of adversity. The process of positively adapting to adverse events is known as 'resilience'. Despite the acknowledgement of 2 common components of resilience, that is, adversity and positive adaptation, no consensus operational definition has been agreed. Resilience operationalisations have been reviewed in a cross-sectional context; however, a review of longitudinal methods of operationalising resilience has not been conducted. The present study conducts a systematic review across Scopus and Web of Science capturing studies of ageing that posited operational definitions of resilience in longitudinal studies of ageing. Thirty-six studies met inclusion criteria. Non-acute events, for example, cancer, were the most common form of adversity identified and psychological components, for example, the absence of depression, the most common forms of positive adaptation. Of the included studies, 4 used psychometrically driven methods, that is, repeated administration of established resilience metrics, 9 used definition-driven methods, that is, a priori establishment of resilience components and criteria, and 23 used data-driven methods, that is, techniques that identify resilient individuals using latent variable models. Acknowledging the strengths and limitations of each operationalisation is integral to the appropriate application of these methods to life course and longitudinal resilience research.

Published
2016
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11. Corrigendum to 'Inflammation and frailty in the elderly: A systematic review and meta-analysis' (Ageing Research Reviews (2016) 31 (1–18) (S1568163716301106) (10.1016/j.arr.2016.08.006))

Author

Soysal, P., Stubbs, B., Lucato, P., Luchini, C., Solmi, M., Peluso, R., Sergi, G., Isik, A. T., Manzato, E., Maggi, S., Maggio, M., Prina, A. M., Cosco, T. D., Wu, Y. -T., Veronese, N., Soysal, P., Stubbs, B., Lucato, P., Luchini, C., Solmi, M., Peluso, R., Sergi, G., Isik, A.T., Manzato, E., Maggi, S., Maggio, M., Prina, A.M., Cosco, T.D., Wu, Y.-T., and Veronese, N.

Subjects
Inflammation, frailty, elderly
Abstract

Since the publication of our meta-analysis it has come to light that we inadvertently categorised one study (Gale et al. 2013) as a cross sectional study instead of its true design as a longitudinal study. We have recalculated the analyses affected which is isolated to the cross sectional longitudinal biomarkers of C reactive protein. The updated analyses have not significantly changed our findings regarding CRP or the narrative of the paper in any perceptible way. Specifically, the new OR for CRP longitudinal studies is now 1.08 (95%CI 0.87–1.34) compared to a previous value of 1.06 (95%CI: 0.78–1.44) (please see the new Fig. 1a). Similarly, after removing the study of Gale et al., the cross-sectional findings for CRP are now SMD=0.38 (95%CI: 0.26–0.50) which was previously 0.25 (95%CI: 0.02–0.49). We wish to apologise to Gale et al. (2013) for this inadvertent mistake and reassure readers that we updated our analyses as soon as this mistake was identified. Moreover, we wish to reiterate that there have been no perceptible changes in any effect sizes regarding CRP and the narrative and meaning of our paper remains unchanged. Fig. 1a Relationship between serum C - reactive protein levels (a) at baseline and incident frailty, adjusted for potential confounders. © 2016

Published
2017

13. Resilience measurement in later life: a systematic review and psychometric analysis

Author

Cosco, T. D., Kaushal, A., Richards, M., Kuh, D., and Stafford, M.

Subjects
Aged, 80 and over, Male, Aging, Psychometrics, Public Health, Environmental and Occupational Health, Age Factors, Reproducibility of Results, Review, Middle Aged, Resilience, Psychological, Sex Factors, Surveys and Questionnaires, Adaptation, Psychological, Quality of Life, Humans, Female, Attitude to Health, Aged
Abstract

Objectives To systematically review and examine the psychometric properties of established resilience scales in older adults, i.e. ≥60 years. Methods A systematic review of Scopus and Web of Science databases was undertaken using the search strategy “resilience” AND (ageing OR aging)”. Independent title/abstract and fulltext screening were undertaken, identifying original peer-reviewed English articles that conducted psychometric validation studies of resilience metrics in samples aged ≥60 years. Data on the reliability/validity of the included metrics were extracted from primary studies. Results Five thousand five hundred nine studies were identified by the database search, 426 used resilience psychometrics, and six psychometric analysis studies were included in the final analysis. These studies conducted analyses of the Connor Davidson Resilience Scale (CD-RISC) and its shortened 10-item version (CD-RISC10), the Resilience Scale (RS) and its shortened 5- (RS-5) and 11- (RS-11) item versions, and the Brief Resilient Coping Scale (BRCS). All scales demonstrated acceptable levels of internal consistency, convergent/discriminant validity and theoretical construct validity. Factor structures for the RS, RS-11 and CD-RISC diverged from the structures in the original studies. Conclusion The RS, RS-5, RS-11, CD-RISC, CD-RISC10 and BRCS demonstrate psychometric robustness adequate for continued use in older populations. However, results from the current study and pre-existing theoretical construct validity studies most strongly support the use of the RS, with modest and preliminary support for the CD-RISC and BRCS, respectively. Future studies assessing the validity of these metrics in older populations, particularly with respect to factor structure, would further strengthen the case for the use of these scales.

Published
2016

17. Operational definition of Active and Healthy Ageing (AHA) : A conceptual framework

Author

Bousquet, J., Kuh, D., Bewick, M., Standberg, T., Farrell, J., Pengelly, R., Joel, M. E., Rodriguez Manas, L., Mercier, J., Bringer, J., Camuzat, T., Bourret, R., Bedbrook, A., Kowalski, M. L., Samolinski, B., Bonini, S., Brayne, C., Michel, J. P., Venne, J., Viriot-Durandal, P., Alonso, J., Avignon, A., Ben-Shlomo, Y., Bousquet, P. J., Combe, B., Cooper, R., Hardy, R., Iaccarino, G., Keil, T., Kesse-Guyot, E., Momas, I., Ritchie, K., Robine, J. M., Thijs, C., Tischer, C., Vellas, B., Zaidi, A., Alonso, F., Ranberg, K. Andersen, Andreeva, V., Ankri, J., Arnavielhe, S., Arshad, H., Auge, P., Berr, C., Bertone, P., Blain, H., Blasimme, A., Buijs, G. J., Caimmi, D., Carriazo, A., Cesario, A., Coletta, J., Cosco, T., Criton, M., Cuisinier, F., Demoly, P., Fernandez-Nocelo, S., Fougere, B., Garcia-Aymerich, J., Goldberg, M., Guldemond, N., Gutter, Z., Harman, D., Hendry, A., Heve, D., Illario, M., Jeandel, C., Krauss-Etschmann, S., Krys, O., Kula, D., Laune, D., Lehmann, S., Maier, D., Malva, J., Matignon, P., Melen, E., Mercier, G., Moda, G., Nizinkska, A., Nogues, M., O'Neill, M., Pelissier, J. Y., Poethig, D., Porta, D., Postma, D., Puisieux, F., Richards, M., Robalo-Cordeiro, C., Romano, V., Roubille, F., Schulz, H., Scott, A., Senesse, P., Slagter, S., Smit, H. A., Somekh, D., Stafford, M., Suanzes, J., Todo-Bom, A., Touchon, J., Traver-Salcedo, V., Van Beurden, M., Varraso, R., Vergara, I., Villalba-Mora, E., Wilson, N., Wouters, E., Zins, M., Bousquet, J., Kuh, D., Bewick, M., Standberg, T., Farrell, J., Pengelly, R., Joel, M. E., Rodriguez Manas, L., Mercier, J., Bringer, J., Camuzat, T., Bourret, R., Bedbrook, A., Kowalski, M. L., Samolinski, B., Bonini, S., Brayne, C., Michel, J. P., Venne, J., Viriot-Durandal, P., Alonso, J., Avignon, A., Ben-Shlomo, Y., Bousquet, P. J., Combe, B., Cooper, R., Hardy, R., Iaccarino, G., Keil, T., Kesse-Guyot, E., Momas, I., Ritchie, K., Robine, J. M., Thijs, C., Tischer, C., Vellas, B., Zaidi, A., Alonso, F., Ranberg, K. Andersen, Andreeva, V., Ankri, J., Arnavielhe, S., Arshad, H., Auge, P., Berr, C., Bertone, P., Blain, H., Blasimme, A., Buijs, G. J., Caimmi, D., Carriazo, A., Cesario, A., Coletta, J., Cosco, T., Criton, M., Cuisinier, F., Demoly, P., Fernandez-Nocelo, S., Fougere, B., Garcia-Aymerich, J., Goldberg, M., Guldemond, N., Gutter, Z., Harman, D., Hendry, A., Heve, D., Illario, M., Jeandel, C., Krauss-Etschmann, S., Krys, O., Kula, D., Laune, D., Lehmann, S., Maier, D., Malva, J., Matignon, P., Melen, E., Mercier, G., Moda, G., Nizinkska, A., Nogues, M., O'Neill, M., Pelissier, J. Y., Poethig, D., Porta, D., Postma, D., Puisieux, F., Richards, M., Robalo-Cordeiro, C., Romano, V., Roubille, F., Schulz, H., Scott, A., Senesse, P., Slagter, S., Smit, H. A., Somekh, D., Stafford, M., Suanzes, J., Todo-Bom, A., Touchon, J., Traver-Salcedo, V., Van Beurden, M., Varraso, R., Vergara, I., Villalba-Mora, E., Wilson, N., Wouters, E., and Zins, M.

Published
2015

18. Operational definition of Active and Healthy Ageing (AHA): A conceptual framework

Author

Cardiometabolic Health, Epi Infectieziekten Team 1, JC onderzoeksprogramma Infectieziekten, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Bousquet, J., Kuh, D., Bewick, M., Standberg, T., Farrell, J., Pengelly, R., Joel, M. E., Rodriguez Manas, L., Mercier, J., Bringer, J., Camuzat, T., Bourret, R., Bedbrook, A., Kowalski, M. L., Samolinski, B., Bonini, S., Brayne, C., Michel, J. P., Venne, J., Viriot-Durandal, P., Alonso, J., Avignon, A., Ben-Shlomo, Y., Bousquet, P. J., Combe, B., Cooper, R., Hardy, R., Iaccarino, G., Keil, T., Kesse-Guyot, E., Momas, I., Ritchie, K., Robine, J. M., Thijs, C., Tischer, C., Vellas, B., Zaidi, A., Alonso, F., Ranberg, K. Andersen, Andreeva, V., Ankri, J., Arnavielhe, S., Arshad, H., Auge, P., Berr, C., Bertone, P., Blain, H., Blasimme, A., Buijs, G. J., Caimmi, D., Carriazo, A., Cesario, A., Coletta, J., Cosco, T., Criton, M., Cuisinier, F., Demoly, P., Fernandez-Nocelo, S., Fougere, B., Garcia-Aymerich, J., Goldberg, M., Guldemond, N., Gutter, Z., Harman, D., Hendry, A., Heve, D., Illario, M., Jeandel, C., Krauss-Etschmann, S., Krys, O., Kula, D., Laune, D., Lehmann, S., Maier, D., Malva, J., Matignon, P., Melen, E., Mercier, G., Moda, G., Nizinkska, A., Nogues, M., O'Neill, M., Pelissier, J. Y., Poethig, D., Porta, D., Postma, D., Puisieux, F., Richards, M., Robalo-Cordeiro, C., Romano, V., Roubille, F., Schulz, H., Scott, A., Senesse, P., Slagter, S., Smit, H. A., Somekh, D., Stafford, M., Suanzes, J., Todo-Bom, A., Touchon, J., Traver-Salcedo, V., Van Beurden, M., Varraso, R., Vergara, I., Villalba-Mora, E., Wilson, N., Wouters, E., Zins, M., Cardiometabolic Health, Epi Infectieziekten Team 1, JC onderzoeksprogramma Infectieziekten, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Bousquet, J., Kuh, D., Bewick, M., Standberg, T., Farrell, J., Pengelly, R., Joel, M. E., Rodriguez Manas, L., Mercier, J., Bringer, J., Camuzat, T., Bourret, R., Bedbrook, A., Kowalski, M. L., Samolinski, B., Bonini, S., Brayne, C., Michel, J. P., Venne, J., Viriot-Durandal, P., Alonso, J., Avignon, A., Ben-Shlomo, Y., Bousquet, P. J., Combe, B., Cooper, R., Hardy, R., Iaccarino, G., Keil, T., Kesse-Guyot, E., Momas, I., Ritchie, K., Robine, J. M., Thijs, C., Tischer, C., Vellas, B., Zaidi, A., Alonso, F., Ranberg, K. Andersen, Andreeva, V., Ankri, J., Arnavielhe, S., Arshad, H., Auge, P., Berr, C., Bertone, P., Blain, H., Blasimme, A., Buijs, G. J., Caimmi, D., Carriazo, A., Cesario, A., Coletta, J., Cosco, T., Criton, M., Cuisinier, F., Demoly, P., Fernandez-Nocelo, S., Fougere, B., Garcia-Aymerich, J., Goldberg, M., Guldemond, N., Gutter, Z., Harman, D., Hendry, A., Heve, D., Illario, M., Jeandel, C., Krauss-Etschmann, S., Krys, O., Kula, D., Laune, D., Lehmann, S., Maier, D., Malva, J., Matignon, P., Melen, E., Mercier, G., Moda, G., Nizinkska, A., Nogues, M., O'Neill, M., Pelissier, J. Y., Poethig, D., Porta, D., Postma, D., Puisieux, F., Richards, M., Robalo-Cordeiro, C., Romano, V., Roubille, F., Schulz, H., Scott, A., Senesse, P., Slagter, S., Smit, H. A., Somekh, D., Stafford, M., Suanzes, J., Todo-Bom, A., Touchon, J., Traver-Salcedo, V., Van Beurden, M., Varraso, R., Vergara, I., Villalba-Mora, E., Wilson, N., Wouters, E., and Zins, M.

Published
2015

19. Socioeconomic inequalities in resilience and vulnerability among older adults: a population-based birth cohort analysis.

Author

Cosco, T. D., Cooper, R., Kuh, D., and Stafford, M.

Abstract

ABSTRACTBackground:Aging is associated with declines in physical capability; however, some individuals demonstrate high well-being despite this decline, i.e. they are "resilient." We examined socioeconomic position (SEP) and resilience and the influence of potentially modifiable behavioral resources, i.e. social support and leisure time physical activity (LTPA), on these relationships.Methods: Data came from the Medical Research Council National Survey of Health and Development, a nationally-representative birth cohort study. Resilience-vulnerability at age 60-64 years (n = 1,756) was operationalized as the difference between observed and expected levels of well-being, captured by the Warwick-Edinburgh Mental Well-being Scale (WEMWBS), given the level of performance-based physical capability. SEP was assessed by father's and own social class, parental education, and intergenerational social mobility. PA and structural/functional social support were reported at ages 53 years and 60-64 years. Path analysis was used to examine mediation of SEP and resilience-vulnerability through LTPA and social support.Results: Participants in the highest social class had scores on the resilience to vulnerability continuum that were an average of 2.3 units (β = 0.46, 95% CI 0.17, 0.75) higher than those in the lowest social class. Greater LTPA (β = 0.58, 95% CI 0.31, 0.85) and social support (β = 3.27, 95% CI 2.90, 3.63) were associated with greater resilience; LTPA partly mediated participant social class and resilience (23.4% of variance).Conclusions: Adult socioeconomic advantage was associated with greater resilience. Initiatives to increase LTPA may contribute to reducing socioeconomic inequalities in this form of resilience in later life. [ABSTRACT FROM AUTHOR]

Published
2018
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20. Operative definition of active and healthy ageing (AHA): Meeting report. Montpellier October 20–21, 2014

Author

Bousquet, J., primary, Kuh, D., additional, Bewick, M., additional, Strandberg, T., additional, Farrell, J., additional, Pengelly, R., additional, Joel, M.E., additional, Rodriguez Mañas, L., additional, Mercier, J., additional, Bringer, J., additional, Camuzat, T., additional, Bourret, R., additional, Bedbrook, A., additional, Kowalski, M.L., additional, Samolinski, B., additional, Bonini, S., additional, Brayne, C., additional, Michel, J.P., additional, Venne, J., additional, Viriot-Durandal, P., additional, Alonso, J., additional, Avignon, A., additional, Bousquet, P.J., additional, Combe, B., additional, Cooper, R., additional, Hardy, R., additional, Iaccarino, G., additional, Keil, T., additional, Kesse-Guyot, E., additional, Momas, I., additional, Ritchie, K., additional, Robine, J.M., additional, Thijs, C., additional, Tischer, C., additional, Vellas, B., additional, Zaidi, A., additional, Alonso, F., additional, Andersen Ranberg, K., additional, Andreeva, V., additional, Ankri, J., additional, Arnavielhe, S., additional, Arshad, S.H., additional, Augé, P., additional, Berr, C., additional, Bertone, P., additional, Blain, H., additional, Blasimme, A., additional, Buijs, G.J., additional, Caimmi, D., additional, Carriazo, A., additional, Cesario, A., additional, Coletta, J., additional, Cosco, T., additional, Criton, M., additional, Cuisinier, F., additional, Demoly, P., additional, Fernandez-Nocelo, S., additional, Fougère, B., additional, Garcia-Aymerich, J., additional, Goldberg, M., additional, Guldemond, N., additional, Gutter, Z., additional, Harman, D., additional, Hendry, A., additional, Heve, D., additional, Illario, M., additional, Jeandel, C., additional, Krauss-Etschmann, S., additional, Krys, O., additional, Kula, D., additional, Laune, D., additional, Lehmann, S., additional, Maier, D., additional, Malva, J., additional, Matignon, P., additional, Melen, E., additional, Mercier, G., additional, Moda, G., additional, Nizinkska, A., additional, Nogues, M., additional, O’Neill, M., additional, Pelissier, J.Y., additional, Poethig, D., additional, Porta, D., additional, Postma, D., additional, Puisieux, F., additional, Richards, M., additional, Robalo-Cordeiro, C., additional, Romano, V., additional, Roubille, F., additional, Schulz, H., additional, Scott, A., additional, Senesse, P., additional, Slagter, S., additional, Smit, H.A., additional, Somekh, D., additional, Stafford, M., additional, Suanzes, J., additional, Todo-Bom, A., additional, Touchon, J., additional, Traver-Salcedo, V., additional, Van Beurden, M., additional, Varraso, R., additional, Vergara, I., additional, Villalba-Mora, E., additional, Wilson, N., additional, Wouters, E., additional, and Zins, M., additional

Published
2015
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21. Early-onset drinking and behaviours.

Author

Cosco, T. D., Morgan, K., Currie, L., and McGee, H.

Subjects
*AGE factors in disease, *CONFIDENCE intervals, *STATISTICAL correlation, *ALCOHOL drinking, *EPIDEMIOLOGY, *INTERVIEWING, *LONGITUDINAL method, *HEALTH outcome assessment, *RESEARCH funding, *SEX distribution, *SOCIAL problems, *SOCIAL skills, *LOGISTIC regression analysis, *DATA analysis, *EDUCATIONAL attainment, *DESCRIPTIVE statistics
Abstract

The article discusses a cross-sectional study which investigated the relationship between early-onset drinking and its negative effects across gender, marital status and education in Ireland. The subjects were asked to complete a telephone interview regarding alcohol use and associated behaviours. Binary logistic regression was used to examine the connection between early-onset drinking and negative outcomes.

Published
2013
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23. P11 The enduring influence of controlling parenting on personal mastery in older age

Author

Harkness, FH, Stafford, M, Cosco, T, and Richards, M

Abstract

BackgroundPersonal mastery is the subjective feeling of control over the events in one’s own life. It is associated with healthy ageing, including better cardio-metabolic health, immune function and physical functioning. As an adult mastery is strongly associated with achievements of education, income and social class. However, within-group differences indicate that there could be other ways to feel in control. Mastery is theorised to be a self-concept first learnt in adolescence, and as such family may play a role in shaping it. Those whose parents support them psychologically and allow them appropriate freedom as an adolescent may grow up perceiving themselves to be in control, over and above tangible socio-economic resources.DataThe Medical Research Council National Survey of Health and Development (NSHD) is a representative sample of births in mainland Britain that occurred during a week in March 1946. Participants were (n=1,037) study members who had provided data at ages 4, 26, 43 and 68. Controlling parenting was measured using the Parental Bonding Instrument (PBI). This measures percieved parental levels of psychological control (e.g. invasiveness, overprotection).The outcome was personal mastery assessed at age 68 using Pearlin’s 7 item scale. An example item is, “ I have little control over the things that happen to me.” Multivariable regression analysis was used to test the association between psychologically controlling parenting and personal mastery age 68, controlling for childhood and adult socio-economic markers.ResultsHigher perceived parental psychological control was associated with lower mean mastery −0.12 (95% 0.20,–0.04) aged 68. This association was not attenuated when adjusting for childhood and adult socio-economic position.ConclusionThese findings show the lifelong importance of parenting on psychological self-concepts. Restricting young-life psychological freedom may build an enduring feeling that one is not agent of one’s own control. Despite having access to a comfortable socio-economic position, those whose parents were more controlling in adolescence felt less in control of their own life age 68.

Published
2017
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25. Operational definition of Active and Healthy Ageing (AHA)

Author

Henriette A. Smit, Neil Wilson, Jean-Marie Robine, J. Y. Pelissier, M. Van Beurden, A. Bedbrook, T. Standberg, Vittorio Romano, Bertrand Fougère, J. Garcia-Aymerich, C. Jeandel, Anne Hendry, B. Samolinski, Mike Bewick, Holger Schulz, P. Bertone, Yoav Ben-Shlomo, J. Coletta, D. Poethig, J. P. Michel, Valentina A. Andreeva, M. O'Neill, M. Nogues, K. Andersen Ranberg, Elena Villalba-Mora, Daniel Laune, Itziar Vergara, Maddalena Illario, F. Roubille, G. J. Buijs, J. Venne, Sylvie Arnavielhe, L. Rodriguez Manas, Carol Brayne, David Somekh, T. Camuzat, Jacques Bringer, A. Nizinkska, Marcel Goldberg, Carel Thijs, Alessandro Blasimme, Raphaëlle Varraso, Dieter Maier, Marie Zins, D. Heve, François Puisieux, Theodore D. Cosco, D. Harman, João O. Malva, Thomas Keil, Rachel Cooper, J. Mercier, M. Criton, Alfredo Cesario, Philippe-Jean Bousquet, Jean Bousquet, Davide Caimmi, John Farrell, Emmanuelle Kesse-Guyot, Dirkje S. Postma, Karen Ritchie, Joël Ankri, P. Viriot-Durandal, Pascal Demoly, G. Moda, V. Traver-Salcedo, Susanne Krauss-Etschmann, Daniela Porta, D. Kula, Jordi Alonso, Federico Alonso, Ana Todo-Bom, Frédéric Cuisinier, R. Pengelly, Guido Iaccarino, G. Mercier, C. Robalo-Cordeiro, Eveline Wouters, P. Senesse, P. Matignon, J. Touchon, Sergio Bonini, B. Combe, J. Suanzes, Marek L. Kowalski, A. Zaidi, Isabelle Momas, R. Bourret, Hasan Arshad, A. Avignon, Sylvain Lehmann, Ana Maria Carriazo, Diana Kuh, Claudine Berr, Mai Stafford, A. Scott, Marcus Richards, S. Fernandez-Nocelo, Rebecca Hardy, Z. Gutter, M. E. Joel, Erik Melén, C. Tischer, Sandra N. Slagter, Nick A. Guldemond, Bruno Vellas, H. Blain, P. Auge, O. Krys, Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Department of Prevention of Environmental Hazards and Allergology, Medical University of Warsaw - Poland-Faculté de Pharmacie de Paris, Institute of Neurobiology and Molecular Medicine, CNR, Rome, Italy and Department of Medicine-University of Naples Federico II, Institut d'Electronique du Solide et des Systèmes (InESS), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Departamento de Biología Molecular y Celular del Cáncer (CSIC-UAM), Instituto de Investigaciones Biomédicas A. Sols, Hôpital Lapeyronie [Montpellier] (CHU), Institut de Génétique Moléculaire de Montpellier (IGMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Mécanismes moléculaires dans les démences neurodégénératives (MMDN), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), CERMES3 - Centre de recherche Médecine, sciences, santé, santé mentale, société (CERMES3 - UMR 8211 / U988 / UM 7), École des hautes études en sciences sociales (EHESS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Gérontopôle, Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Toulouse [Toulouse], Université Paris-Est Marne-la-Vallée (UPEM), Université de Montpellier (UM), Euromov (EuroMov), Eindhoven University of Technology [Eindhoven] (TU/e), Laboratoire de Bioingénierie et NanoSciences (LBN), Département pneumologie et addictologie [Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Arnaud de Villeneuve, IMIM-Hospital del Mar, Generalitat de Catalunya, Groupe Matrice Extracellulaire et Biomineralisation, Université Paris Descartes - Paris 5 (UPD5), Cellules Souches, Plasticité Cellulaire, Médecine Régénératrice et Immunothérapies (IRMB), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Service de Pneumologie, Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-AP-HP - Hôpital Antoine Béclère [Clamart], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPC), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université Montpellier 1 (UM1)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Université Montpellier 1 (UM1)-Université de Montpellier (UM), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université de Paris (UP), Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon ( MACVIA-LR ), Université Montpellier 1 ( UM1 ) -World Health Organization ( WHO/OMS ) -Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre Hospitalier Régional Universitaire de Nîmes ( CHRU Nîmes ) -Université de Montpellier ( UM ) -Centre National de la Recherche Scientifique ( CNRS ) -European Innovation Partnership on Active and Healthy Ageing Reference Site, Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] ( PhyMedExp ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Montpellier ( UM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre de pharmacologie et innovation dans le diabète ( CPID ), Université Montpellier 1 ( UM1 ) -Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ) -Centre National de la Recherche Scientifique ( CNRS ), Medical University of Warsaw-Faculté de Pharmacie de Paris, CNR, Rome, Italy and Department of Medicine-Second University of Naples, Institut d'Electronique du Solide et des Systèmes ( InESS ), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique ( CNRS ), Departamento de Biología Molecular y Celular del Cáncer ( CSIC-UAM ), Hôpital Lapeyronie [Montpellier] ( CHU ), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle ( CRESS - U1153 ), Université Paris 13 ( UP13 ) -Institut National de la Recherche Agronomique ( INRA ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ) -Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( CRESS (U1153 / UMR_A 1125) ), Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ), Gerontopole of Toulouse, CHU- Université de Toulouse, Université Paris-Est Marne-la-Vallée ( UPEM ), Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ), Eindhoven University of Technology [Eindhoven] ( TU/e ), Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ) -Hôpital Arnaud de Villeneuve, Université Paris Descartes - Paris 5 ( UPD5 ), Institut de Recherche en Infectiologie de Montpellier ( IRIM ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Montpellier ( UM ), Institut de génétique humaine ( IGH ), Université de Montpellier ( UM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire AIM, Université Paris Diderot - Paris 7 ( UPD7 ) -Centre d'Etudes de Saclay, Telecom Bretagne, Brest, Laboratoire de magnétisme et d'optique de Versailles ( LMOV ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Centre National de la Recherche Scientifique ( CNRS ), Cognition, Action, et Plasticité Sensorimotrice [Dijon - U1093] ( CAPS ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Departement de Cardiologie, Space Science Division, Neuropsychiatrie : recherche épidémiologique et clinique, Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Montpellier 1 ( UM1 ) -Université de Montpellier ( UM ), Université Paris-Sud - Paris 11 ( UP11 ) -Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Antoine Béclère, UMS11 Cohortes en population, Institut National de la Santé et de la Recherche Médicale ( INSERM ), Bousquet, J, Kuh, D, Bewick, M, Standberg, T, Farrell, J, Pengelly, R, Joel, M. E, Rodriguez Mañas, L, Mercier, J, Bringer, J, Camuzat, T, Bourret, R, Bedbrook, A, Kowalski, M. L, Samolinski, B, Bonini, S, Brayne, C, Michel, J. P, Venne, J, Viriot Durandal, P, Alonso, J, Avignon, A, Ben Shlomo, Y, Bousquet, P. J, Combe, B, Cooper, R, Hardy, R, Iaccarino, G, Keil, T, Kesse Guyot, E, Momas, I, Ritchie, K, Robine, J. M, Thijs, C, Tischer, C, Vellas, B, Zaidi, A, Alonso, F, Andersen Ranberg, K, Andreeva, V, Ankri, J, Arnavielhe, S, Arshad, H, Augé, P, Berr, C, Bertone, P, Blain, H, Blasimme, A, Buijs, G. J, Caimmi, D, Carriazo, A, Cesario, A, Coletta, J, Cosco, T, Criton, M, Cuisinier, F, Demoly, P, Fernandez Nocelo, S, Fougère, B, Garcia Aymerich, J, Goldberg, M, Guldemond, N, Gutter, Z, Harman, D, Hendry, A, Heve, D, Illario, Maddalena, Jeandel, C, Krauss Etschmann, S, Krys, O, Kula, D, Laune, D, Lehmann, S, Maier, D, Malva, J, Matignon, P, Melen, E, Mercier, G, Moda, G, Nizinkska, A, Nogues, M, O'Neill, M, Pelissier, J. Y, Poethig, D, Porta, D, Postma, D, Puisieux, F, Richards, M, Robalo Cordeiro, C, Romano, V, Roubille, F, Schulz, H, Scott, A, Senesse, P, Slagter, S, Smit, H. A, Somekh, D, Stafford, M, Suanzes, J, Todo Bom, A, Touchon, J, Traver Salcedo, V, Van Beurden, M, Varraso, R, Vergara, I, Villalba Mora, E, Wilson, N, Wouters, E, Zins, M., CNR, Rome, Italy and Department of Medicine-University of Naples Federico II = Università degli studi di Napoli Federico II, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), École Pratique des Hautes Études (EPHE), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Bousquet, Jean, Kuh, D., Bewick, M., Standberg, T., Farrell, J., Pengelly, R., Joel, M. E., Rodriguez Mañas, L., Mercier, J., Bringer, J., Camuzat, T., Bourret, R., Bedbrook, A., Kowalski, M. L., Samolinski, B., Bonini, Sergio, Brayne, C., Michel, J. P., Venne, J., Viriot Durandal, P., Alonso, J., Avignon, A., Ben Shlomo, Y., Bousquet, P. J., Combe, B., Cooper, R., Hardy, R., Iaccarino, G., Keil, T., Kesse Guyot, E., Momas, I., Ritchie, K., Robine, J. M., Thijs, C., Tischer, C., Vellas, B., Zaidi, A., Alonso, F., Andersen Ranberg, K., Andreeva, V., Ankri, J., Arnavielhe, S., Arshad, H., Augé, P., Berr, C., Bertone, P., Blain, H., Blasimme, A., Buijs, G. J., Caimmi, D., Carriazo, A., Cesario, A., Coletta, J., Cosco, T., Criton, M., Cuisinier, F., Demoly, P., Fernandez Nocelo, S., Fougère, B., Garcia Aymerich, J., Goldberg, M., Guldemond, N., Gutter, Z., Harman, D., Hendry, A., Heve, D., Illario, M., Jeande, C., Krauss Etschmann, S., Krys, O., Kula, D., Laune, D., Lehmann, S., Maier, D., Malva, J., Matignon, P., Melen, E., Mercier, G., Moda, G., Nizinkska, A., Nogues, M., O’Neill, M., Pelissier, J. Y., Poethig, D., Porta, D., Postma, D., Puisieux, F., Richards, M., Robalo Cordeiro, C., Romano, V., Roubille, F., Schulz, H., Scott, A., Senesse, P., Slagter, S., Smit, H. A., Somekh, D., Stafford, M., Suanzes, J., Todo Bom, A., Touchon, J., Traver Salcedo, V., Van Beurden, M., Varraso, R., Vergara, I., Villalba Mora, E., Wilson, N., Wouters, E., Groningen Research Institute for Asthma and COPD (GRIAC), Epidemiologie, RS: CAPHRI School for Public Health and Primary Care, RS: CAPHRI - R5 - Optimising Patient Care, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Nîmes (CHRU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Antoine Béclère, UMS011 Cohortes épidémiologiques en population (CONSTANCES), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Gerontology, Aging, media_common.quotation_subject, [SDV]Life Sciences [q-bio], EUROPEAN INNOVATION PARTNERSHIP, Population, Medicine (miscellaneous), Social Environment, MACVIA-LR, Quality of life (healthcare), European Innovation Partnership on Active and Healthy Ageing, Active and Healthy Ageing, PREVENTING CHRONIC DISEASES, definition, Nutrition and Dietetics, Geriatrics and Gerontology, LIFE YEARS, Nutrition and Dietetic, Journal Article, Medicine, Humans, DISEASES CHRONIC DISEASES, Function (engineering), education, Exercise, ComputingMilieux_MISCELLANEOUS, POPULATION, media_common, education.field_of_study, [ SDV ] Life Sciences [q-bio], business.industry, Operational definition, EIP, Social environment, Conceptual framework, Health, General partnership, Chronic Disease, Quality of Life, France, Independent Living, business, Independent living, Human, macvia lr
Abstract

Health is a multi-dimensional concept, capturing how people feel and function. The broad concept of Active and Healthy Ageing was proposed by the World Health Organisation (WHO) as the process of optimizing opportunities for health to enhance quality of life as people age. It applies to both individuals and population groups. A universal Active and Healthy Ageing definition is not available and it may differ depending on the purpose of the definition and/or the questions raised. While the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) has had a major impact, a definition of Active and Healthy Ageing is urgently needed. A meeting was organised in Montpellier, France, October 20-21, 2014 as the annual conference of the EIP on AHA Reference Site MACVIA-LR (Contre les Maladies Chroniques pour un Vieillissement Actif en Languedoc Roussillon) to propose an operational definition of Active and Healthy Ageing including tools that may be used for this. The current paper describes the rationale and the process by which the aims of the meeting will be reached. Health is a multi-dimensional concept, capturing how people feel and function. The broad concept of Active and Healthy Ageing was proposed by the World Health Organisation (WHO) as the process of optimizing opportunities for health to enhance quality of life as people age. It applies to both individuals and population groups. A universal Active and Healthy Ageing definition is not available and it may differ depending on the purpose of the definition and/or the questions raised. While the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) has had a major impact, a definition of Active and Healthy Ageing is urgently needed. A meeting was organised in Montpellier, France, October 20-21, 2014 as the annual conference of the EIP on AHA Reference Site MACVIA-LR (Contre les Maladies Chroniques pour un Vieillissement Actif en Languedoc Roussillon) to propose an operational definition of Active and Healthy Ageing including tools that may be used for this. The current paper describes the rationale and the process by which the aims of the meeting will be reached.

Published
2015

26. High prevalence of erectile dysfunction in diabetes: a systematic review and meta-analysis of 145 studies

Author

Theodore D. Cosco, M Carnaghi, Damiano Pizzol, Youssef Kouidrat, Alessandro Bertoldo, Marco Solmi, Nicola Veronese, Trevor Thompson, Brendon Stubbs, Kouidrat, Y., Pizzol, D., Cosco, T., Thompson, T., Carnaghi, M., Bertoldo, A., Solmi, M., Stubbs, B., and Veronese, N.

Subjects
Male, medicine.medical_specialty, MEN 40, Endocrinology, Diabetes and Metabolism, 030232 urology & nephrology, 030209 endocrinology & metabolism, Review, Internal Medicine, Endocrinology, Odds, MELLITUS, 03 medical and health sciences, 0302 clinical medicine, Erectile Dysfunction, Risk Factors, Diabetes mellitus, Internal medicine, Prevalence, Journal Article, Humans, EPIDEMIOLOGY, Medicine, High prevalence, business.industry, Type 2 Diabetes Mellitus, Publication bias, medicine.disease, 69 YEARS OLD, Confidence interval, Diabetes and Metabolism, Erectile dysfunction, Diabetes Mellitus, Type 2, BIAS, Meta-analysis, Hypertension, business, SEXUAL DYSFUNCTION
Abstract

Erectile dysfunction may be common among men with diabetes, but its prevalence is still debated. We aimed to assess the relative prevalence of erectile dysfunction in diabetes searching major databases from inception to November 2016 for studies reporting erectile dysfunction in men with Type1 and Type2 diabetes mellitus. We conducted a meta-analysis of the prevalence [and 95% confidence intervals (95% CIs)] of erectile dysfunction in diabetes compared with healthy controls, calculating the relative odds ratios (ORs) and 95% CIs. A random effect model was applied. From 3747 initial hits, 145 studies were included representing 88577 men (age: 55.8±7.9years). The prevalence of erectile dysfunction in diabetes overall was 52.5% (95% CI, 48.8 to 56.2) after adjusting for publication bias, and 37.5%, 66.3% and 57.7% in Type1, Type2 and both types of diabetes, respectively (P for interaction

Published
2017

27. Weight loss is associated with improvements in cognitive function among overweight and obese people: A systematic review and meta-analysis

Author

Nicola Veronese, Enzo Manzato, Brendon Stubbs, Giuseppe Sergi, Silvia Facchini, Stefania Maggi, Theodore D. Cosco, Claudio Luchini, Luigi Fontana, Marco Solmi, Veronese, N., Facchini, S., Stubbs, B., Luchini, C., Solmi, M., Manzato, E., Sergi, G., Maggi, S., Cosco, T., and Fontana, L.

Subjects
Weight loss, medicine.medical_specialty, Cognitive Neuroscience, Physical activity, 030209 endocrinology & metabolism, Overweight, law.invention, 03 medical and health sciences, Behavioral Neuroscience, Cognition, 0302 clinical medicine, Randomized controlled trial, Memory, law, medicine, Humans, Attention, Obesity, Exercise, Nutrition, Meta-analysis, Weight Loss, Cognition, Memory, Attention, Weight loss, Obesity, Meta-analysis, Physical activity, Nutrition, Executive functions, medicine.disease, Neuropsychology and Physiological Psychology, Physical therapy, medicine.symptom, Psychology, 030217 neurology & neurosurgery
Abstract

Whilst obesity is associated with a higher risk of cognitive impairment, the influence of weight loss on cognitive function in obese/overweight people is equivocal. We conducted a meta-analysis of randomized controlled trials (RCTs) and longitudinal studies evaluating the influence of voluntary weight loss on cognitive function in obese/overweight individuals. Articles were acquired from a systematic search of major databases from inception till 01/2016. A random effect meta-analysis of weight loss interventions (diet, physical activity, bariatric surgery) on different cognitive domains (memory, attention, executive functions, language and motor speed) was conducted. Twenty studies (13 longitudinal studies = 551 participants; 7 RCTs = 328 treated vs. 140 controls) were included. Weight loss was associated with a significant improvement in attention and memory in both longitudinal studies and RCTs, whereas executive function and language improved in longitudinal and RCT studies, respectively. In conclusion, intentional weight loss in obese/overweight people is associated with improvements in performance across various cognitive domains. Future adequately powered RCTs are required to confirm/refute these findings. © 2016 Elsevier Ltd

Published
2017

28. An examination of the anxiolytic effects of exercise for people with anxiety and stress-related disorders: A meta-analysis

Author

Simon Rosenbaum, Joseph Firth, Felipe Barreto Schuch, Davy Vancampfort, Nicola Veronese, Giovanni Abrahão Salum, Theodore D. Cosco, Brendon Stubbs, Stubbs, B., Vancampfort, D., Rosenbaum, S., Firth, J., Cosco, T., Veronese, N., Salum, G.A., and Schuch, F.B.

Subjects
Adult, Exercise, Physical activity, Anxiety, Stress, medicine.drug_class, medicine.medical_treatment, Anxiety, Anxiolytic, law.invention, 03 medical and health sciences, 0302 clinical medicine, Anti-Anxiety Agents, Randomized controlled trial, law, medicine, Aerobic exercise, Humans, 030212 general & internal medicine, Exercise, Biological Psychiatry, Randomized Controlled Trials as Topic, Panic disorder, Stress-related disorders, medicine.disease, 030227 psychiatry, Exercise Therapy, Cognitive behavioral therapy, Psychiatry and Mental health, Treatment Outcome, medicine.symptom, Psychology, Stress, Psychological, Clinical psychology
Abstract

The literature regarding exercise for people with established anxiety disorders is equivocal. To address this issue, we conducted a systematic review and meta-analysis investigating the benefits of exercise compared to usual treatment or control conditions in people with an anxiety and/or stress-related disorders. Major electronic databases were searched from inception until December/2015 and a random effect meta-analysis conducted. Altogether, six randomized control trials (RCTs) including 262 adults (exercise n=132, 34.74 [9.6] years; control n=130, 37.34 [10.0] years) were included. Exercise significantly decreased anxiety symptoms more than control conditions, with a moderate effect size (Standardized Mean Difference=−0.582, 95%CI −1.0 to −0.76, p=0.02). Our data suggest that exercise is effective in improving anxiety symptoms in people with a current diagnosis of anxiety and/ or stress-related disorders. Taken together with the wider benefits of exercise on wellbeing and cardiovascular health, these findings reinforce exercise as an important treatment option in people with anxiety/stress disorders. © 2017 Elsevier Ireland Ltd

Published
2017

29. The epidemiology of back pain and its relationship with depression, psychosis, anxiety, sleep disturbances, and stress sensitivity: Data from 43 low- and middle-income countries

Author

Trevor Thompson, Brendon Stubbs, Patricia Schofield, André F. Carvalho, James Mugisha, Davy Vancampfort, Neil Wilson, Theodore D. Cosco, Ai Koyanagi, Marco Solomi, Nicola Veronese, Stubbs, B., Koyanagi, A., Thompson, T., Veronese, N., Carvalho, A.F., Solomi, M., Mugisha, J., Schofield, P., Cosco, T., Wilson, N., and Vancampfort, D.

Subjects
Male, Stress sensitivity, Sleep problems, Comorbidity, Anxiety, Global Health, 0302 clinical medicine, 030212 general & internal medicine, psychosis, low- and middle-income countries, Depression (differential diagnoses), Aged, 80 and over, Sleep disorder, education.field_of_study, Low- and middle-income countries, Depression, chronic back pain, Middle Aged, anxiety, Back pain, Chronic back pain, Mental health, Mental illness, Depression, Psychosis, Anxiety, Sleep problems, Stress sensitivity, Low- and middle-income countries, mental illness, Anxiety Disorders, Psychiatry and Mental health, Mental illness, depression, Mental health, Female, medicine.symptom, Psychology, mental health, Clinical psychology, Back pain, Chronic back pain, Psychosis, Adult, Sleep Wake Disorders, medicine.medical_specialty, Anxiety, Back pain, Chronic back pain, Depression, Low- and middle-income countries, Mental health, Mental illness, Psychosis, Sleep problems, Stress sensitivity, Adolescent, Population, BF, 03 medical and health sciences, Young Adult, medicine, Humans, Psychiatry, education, Developing Countries, Aged, sleep problems, Depressive Disorder, stress sensitivity, Odds ratio, medicine.disease, Psychotic Disorders, Back Pain, 030217 neurology & neurosurgery, Stress, Psychological
Abstract

Background Back pain (BP) is a leading cause of global disability. However, population-based studies investigating its impact on mental health outcomes are lacking, particularly among low- and middle-income countries (LMICs). Thus, the primary aims of this study were to: (1) determine the epidemiology of BP in 43 LMICs; (2) explore the relationship between BP and mental health (depression spectrum, psychosis spectrum, anxiety, sleep disturbances and stress). Methods Data on 190,593 community-dwelling adults aged ≥18 years from the World Health Survey (WHS) 2002–2004 were analyzed. The presence of past-12 month psychotic symptoms and depression was established using questions from the Composite International Diagnostic Interview. Anxiety, sleep problems, stress sensitivity, and any BP or chronic BP (CBP) during the previous 30 days were also self-reported. Multivariable logistic regression analyses were undertaken. Results The overall prevalence of any BP and CBP were 35.1% and 6.9% respectively. Significant associations with any BP were observed for subsyndromal depression [OR (odds ratio)=2.21], brief depressive episode (OR=2.64), depressive episode (OR=2.88), psychosis diagnosis with symptoms (OR=2.05), anxiety (OR=2.12), sleep disturbance (OR=2.37) and the continuous variable of stress sensitivity. Associations were generally more pronounced for chronic BP. Conclusion Our data establish that BP is associated with elevated mental health comorbidity in LMICs. Integrated interventions that address back pain and metal health comorbidities might be an important next step to tackle this considerable burden. © 2016 Elsevier Inc.

Published
2016

30. Operational Definition of Active and Healthy Aging (AHA): The European Innovation Partnership (EIP) on AHA Reference Site Questionnaire: Montpellier October 20-21, 2014, Lisbon July 2, 2015

Author

Karen Ritchie, Daniel Harman, Philippe-Jean Bousquet, Erik Melén, Pierre Senesse, Govert Joan Buijs, Antonio Cano, Claude Jeandel, Timo E. Strandberg, Marieke Van Beurden, Pascal Demoly, G. Moda, Raquel Santiago, Sylvie Arnavielhe, Marie-Eve Joel, Nicola Wilson, Eveline Wouters, Jacques Touchon, Martina O'Neill, Isabelle Momas, Karen Andersen Ranberg, D. Heve, Maddalena Illario, Christina Tischer, Jean Bousquet, Marcel Goldberg, Paola Bertone, Guido Iaccarino, Antoine Avignon, Rodolphe Bourret, Valeria Romano, Laura Calzà, Henriet A. Smit, Mirca Barbolini, David Kula, Jacques-Yves Pelissier, Mario Barbagallo, Bruno Vellas, Ann Scott, C. Robalo-Cordeiro, Gregoire Mercier, Mike Bewick, Bernard Combe, Holger Schulz, Sergio Bonini, P. Viriot-Durandal, Itziar Vergara, M. Nogues, Carol Brayne, João Apóstolo, Jacques Mercier, Vicente Traver-Salcedo, François Puisieux, Julia Coletta, Alessandro Blasimme, Olivier Krys, Niels H. Chavannes, John Farrell, Joël Ankri, Ana Maria Carriazo, Rafaelle Varraso, Marie Zins, Zdenec Gutter, José António Pereira da Silva, Bertrand Fougère, Frédéric Cuisinier, Bolesław Samoliński, Jacques Bringer, Theodore D. Cosco, Jordi Alonso, Ana Todo-Bom, Claudine Berr, Daniel Laune, Esteban De Manuel Keenoy, Judith Garcia-Aymerich, Anna Bedbrook, Anne Hendry, Richard Pengelly, Dagmar Poethig, João O. Malva, Thomas Keil, Sandra N. Slagter, Nick A. Guldemond, Pierre Matignon, Hubert Blain, Leocadio Rodríguez Mañas, Marek L. Kowalski, Susana Fernandez-Nocelo, Alfredo Cesario, Sandra Rebello, Federico Alonso, Catarina R. Oliveira, Dieter Maier, Jean-Pierre Michel, David Somekh, T. Camuzat, Julien Venne, Marc Criton, Jaime Correia de Sousa, Hassan Arshad, Anabella Mota Pinto, Valentina A. Andreeva, François Roubille, Yoav Ben-Shlomo, Asghar Zaidi, Elena Villalba-Mora, Emmanuelle Kesse-Guyot, Dirkje S. Postma, Carel Thijs, Jean-Marie Robine, Danielle Porta, George Crooks, Adrianna Nizinska, Jorge Suanzes, Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Bone and Joint Research Group, University of Southampton Medical School, CHU Toulouse [Toulouse], Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona] (UPF)-Catalunya ministerio de salud, Santé publique et épidémiologie des déterminants professionnels et sociaux de la santé, Epidémiologie, sciences sociales, santé publique (IFR 69), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Department of Social Medicine, University of Bristol [Bristol], Pathologies du système nerveux : recherche épidémiologique et clinique, Université Montpellier 1 (UM1)-IFR76-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Electrical Engineering, Mathematics and Computer Science [Delft], Delft University of Technology (TU Delft), Unité de Recherche en Epidémiologie Nutritionnelle (UREN), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), F2ME, PSA Peugeot - Citroën (PSA), PSA Peugeot Citroën (PSA)-PSA Peugeot Citroën (PSA)-Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (PRISME), Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges)-Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges), Department of Epidemiology and Public Health, Imperial College London, CERMES3 - Centre de recherche Médecine, sciences, santé, santé mentale, société (CERMES3 - UMR 8211 / U988 / UM 7), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-École des hautes études en sciences sociales (EHESS), Département Ecologie, Physiologie et Ethologie (DEPE-IPHC), Institut Pluridisciplinaire Hubert Curien (IPHC), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS)-Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Department of Prevention of Envinronmental Hazards and Allergology, Medical University of Warsaw - Poland, Department of Epidemiology, Maastricht University [Maastricht]-School for Public Health and Primary Care (CAPHRI), Hôpital Gui de Chauliac, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Kyomed, Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Department of Geriatrics - Efficiency and Deficiency Laboratory, Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Consiglio Nazionale delle Ricerche (CNR), Centre Hospitalier Universitaire de Montpellier (CHU Montpellier ), Département pneumologie et addictologie [Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Arnaud de Villeneuve, Department of Public Health and Primary Care, University of Cambridge [UK] (CAM), Service d'endocrinologie, Departamento de Sistemas Informáticos y Computación [Valencia], Universitat Politècnica de València (UPV), Deputy Scientific Director, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Pisana, Département de Rhumatologie[Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Lapeyronie, Laboratoire de chimie biomoléculaire (LCB), Université Montpellier 2 - Sciences et Techniques (UM2)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-MAYOLI SPINDLER SA-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Bioingénierie et NanoSciences (LBN), Université Montpellier 1 (UM1)-Université de Montpellier (UM), Laboratoire de Gérontechnologie [Hôpital La Grave-CHU de Toulouse], Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Gérontopôle, IMIM-Hospital del Mar, Generalitat de Catalunya, Département de Biostatistiques, Agence Régionale de Santé Languedoc Roussillon (ARS), Department of Medicine and Surgery, Università degli Studi di Salerno (UNISA)-RCCS 'Multimedia', Centre de gérontologie clinique, Institute of Social Medicine, Epidemiology and Health Economics-Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institute of Environmental Medicine, Karolinska Institutet [Stockholm]-Karolinska University Hospital [Stockholm]-Astrid Lindgren Children's Hospital, Lab-STICC_TB_CID_TOMS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Epidémiologie Environnementale : Impact Sanitaire des Pollutions (EA 4064), Université Paris Descartes - Paris 5 (UPD5), Universidad Pública de Navarra [Espagne] = Public University of Navarra (UPNA), Unité de Virologie clinique et fondamentale (UVCF), Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, Mécanismes adaptatifs : des organismes aux communautés (MAOAC), Muséum national d'Histoire naturelle (MNHN)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Department of Pulmonary Medicine and Tuberculosis, University of Groningen [Groningen], Service de gériatrie, Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Allergy and Clinical Immunology Department, Hospitais da Universidade de Coimbra, Département de nutrition et d'oncologie digestive, CRLCC Val d'Aurelle - Paul Lamarque, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Bousquet, Jean, Malva, Joao, Nogues, Michel, Mañas, Leocadio Rodriguez, Vellas, Bruno, Farrell, J, Bewick, M, Kowalski, Ml, Strandberg, T, Alonso, J, Ranberg, Ka, Ankri, J, Barbagallo, M, Ben Shlomo, Y, Berr, C, Crooks, G, de Manuel Keenoy, E, Goldberg, M, Guldemond, N, Illario, Maddalena, Joel, Me, Kesse Guyot, E, Michel, Jp, Pengelly, R, Ritchie, K, Robine, Jm, Romano, V, Samolinski, B, Schulz, H, Thijs, C, Touchon, J, Zaidi, A, Apostolo, J, Alonso, F, Andreeva, V, Arnavielhe, S, Arshad, H, Avignon, A, Barbolini, M, Bedbrook, A, Bertone, P, Blain, H, Blasimme, A, Bonini, S, Bourret, R, Bousquet, Pj, Brayne, C, Bringer, J, Buijs, Gj, Calza, L, Camuzat, T, Cano, A, Carriazo, A, Cesario, A, Chavannes, N, Combe, B, Coletta, J, de Sousa, Jc, Cosco, T, Criton, M, Cuisinier, F, Demoly, P, Fernandez Nocelo, S, Fougère, B, Garcia Aymerich, J, Gutter, Z, Harman, D, Hendry, A, Hève, D, Iaccarino, G, Jeandel, C, Keil, T, Krys, O, Kula, D, Laune, D, Maier, D, Matignon, P, Melen, E, Mercier, G, Moda, G, Momas, I, Pinto, Am, Nizinska, A, Oliveira, C, O'Neill, M, Pelissier, Jy, Pereira da Silva, Ja, Poethig, D, Porta, D, Postma, D, Puisieux, F, Rebello, S, Robalo Cordeiro, C, Roubille, F, Santiago, R, Scott, A, Senesse, P, Slagter, S, Smit, Ha, Somekh, D, Suanzes, J, Tischer, C, Todo Bom, A, Traver Salcedo, V, Van Beurden, M, Varraso, R, Venne, J, Vergara, I, Villalba Mora, E, Viriot Durandal, P, Wilson, N, Wouters, E, Zins, M, Mercier, J., Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Nîmes (CHRU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Universitat Pompeu Fabra [Barcelona]-Catalunya ministerio de salud, Université Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Cité (USPC)-Université Paris 13 (UP13)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut National de la Recherche Agronomique (INRA), Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges)-Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges)-Université d'Orléans (UO), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), CHU Montpellier, Universidad Politécnica de Valencia, Centre National de la Recherche Scientifique (CNRS)-MAYOLI SPINDLER SA-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université Montpellier 2 - Sciences et Techniques (UM2), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Gérontopôle-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Toulouse [Toulouse], University of Salerno (UNISA)-RCCS 'Multimedia', Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin -Epidemiology and Health Economics, Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Universidad Pública de Navarra [Espagne] (UPNA), Unité de Virologie clinique et fondamentale EA 4294, Centre National de la Recherche Scientifique (CNRS)-Collège de France (CdF)-Muséum national d'Histoire naturelle (MNHN), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Bousquet J, Malva J, Nogues M, Mañas LR, Vellas B, Farrell J, MACVIA Research Group [.., L. Calzà, ], Farrell, John, Bonini, Sergio, Université Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École des hautes études en sciences sociales (EHESS)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Muséum national d'Histoire naturelle (MNHN)-Collège de France (CdF)-Centre National de la Recherche Scientifique (CNRS), Epidemiologie, RS: CAPHRI School for Public Health and Primary Care, and RS: CAPHRI - R5 - Optimising Patient Care

Subjects
Gerontology, Concept Formation, [SDV]Life Sciences [q-bio], Disability Evaluation, 0302 clinical medicine, SF-12, QUALITY-OF-LIFE, Surveys and Questionnaires, WHODAS 2.0, Medicine, 030212 general & internal medicine, VERSION, POPULATION, PSYCHOLOGICAL DISTRESS, SCALE, General Nursing, Nursing (all)2901 Nursing (miscellaneous), health care economics and organizations, ComputingMilieux_MISCELLANEOUS, Aged, 80 and over, education.field_of_study, Operational definition, Medicine (all), Health Policy, PHYSICAL-ACTIVITY QUESTIONNAIRE, PRIMARY-CARE, General Medicine, 3. Good health, Europe, General partnership, Scale (social sciences), Population, SELF-REPORT, VALIDATION, 03 medical and health sciences, Quality of life (healthcare), EQ-5D, Journal Article, Humans, OLDER-ADULTS, education, Geriatric Assessment, Health policy, Aged, business.industry, questionnaire, Active and healthy ageing, United States, Questionnaire, Quality of Life, The Conceptual Framework, Geriatrics and Gerontology, business, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

A core operational definition of active and healthy aging (AHA) is needed to conduct comparisons. A conceptual AHA framework proposed by the European Innovation Partnership on Active and Healthy Ageing Reference Site Network includes several items such as functioning (individual capability and underlying body systems), well-being, activities and participation, and diseases (including non-communicable diseases, frailty, mental and oral health disorders). The instruments proposed to assess the conceptual framework of AHA have common applicability and availability attributes. The approach includes core and optional domains/instruments depending on the needs and the questions. A major common domain is function, as measured by the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). WHODAS 2.0 can be used across all diseases and healthy individuals. It covers many of the AHA dimensions proposed by the Reference Site network. However, WHODAS 2.0 does not include all dimensions proposed for AHA assessment. The second common domain is health-related quality of life (HRQoL). A report of the AHA questionnaire in the form of a spider net has been proposed to facilitate usual comparisons across individuals and groups of interest. (C) 2015 Published by Elsevier Inc. on behalf of AMDA - The Society for Post-Acute and Long-Term Care Medicine.

Published
2015

31. Operative definition of active and healthy ageing (AHA): Meeting report. Montpellier October 20–21, 2014

Author

Carol Brayne, O. Krys, B. Samolinski, Ana Maria Carriazo, François Roubille, Joël Ankri, P. Matignon, P. Bertone, V. Traver-Salcedo, D. Poethig, Sergio Bonini, Itziar Vergara, P. Viriot-Durandal, J. Suanzes, François Puisieux, Elena Villalba-Mora, D. Kula, A. Bedbrook, Vittorio Romano, J. Touchon, Daniel Laune, J. Pelissier, L. Rodriguez Manas, G. J. Buijs, M. Criton, Marek L. Kowalski, T. Strandberg, Mai Stafford, M. Van Beurden, S. Slagter, Erik Melén, Marcus Richards, Mike Bewick, Carel Thijs, Raphaëlle Varraso, Alessandro Blasimme, A. Zaidi, Gregoire Mercier, Henriette A. Smit, S. Fernandez-Nocelo, K. Andersen Ranberg, Frédéric Cuisinier, Bruno Vellas, M. O'Neill, Claudine Berr, João O. Malva, Thomas Keil, Holger Schulz, Theodore D. Cosco, H. Blain, C. Tischer, Pierre Senesse, Emmanuelle Kesse-Guyot, Philippe-Jean Bousquet, Dirkje S. Postma, Susanne Krauss-Etschmann, Daniela Porta, Pascal Demoly, Z. Gutter, M. E. Joel, G. Moda, Claude Jeandel, I. Momas, John Farrell, Karen Ritchie, Sylvie Arnavielhe, Eveline Wouters, J. Coletta, Nick A. Guldemond, J. Bringer, Justin Michel, D. Heve, J. Garcia-Aymerich, Jordi Alonso, Jean Bousquet, Ana Todo-Bom, Dieter Maier, Jean-Marie Robine, Rachel Cooper, Diana Kuh, Guido Iaccarino, Antoine Avignon, J. Mercier, A. Hendry, Davide Caimmi, Bernard Combe, Neil Wilson, R. Pengelly, C. Robalo-Cordeiro, P. Auge, J. Venne, Rebecca Hardy, Maddalena Illario, A. Nizinkska, Alfredo Cesario, Marcel Goldberg, Sylvain Lehmann, Bertrand Fougère, Syed Hasan Arshad, A. Scott, Federico Alonso, M. Nogues, Marie Zins, Rodolphe Bourret, David Somekh, T. Camuzat, D. Harman, Valentina A. Andreeva, Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Biocommunication en Cardio-Métabolique (BC2M), Université de Montpellier (UM), Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Department of Prevention of Environmental Hazards and Allergology, Medical University of Warsaw - Poland-Faculté de Pharmacie de Paris, Institute of Neurobiology and Molecular Medicine, CNR, Rome, Italy and Department of Medicine-University of Naples Federico II = Università degli studi di Napoli Federico II, Institut d'Electronique du Solide et des Systèmes (InESS), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Departamento de Biología Molecular y Celular del Cáncer (CSIC-UAM), Instituto de Investigaciones Biomédicas A. Sols, Hôpital Lapeyronie [Montpellier] (CHU), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), CERMES3 - Centre de recherche Médecine, sciences, santé, santé mentale, société (CERMES3 - UMR 8211 / U988 / UM 7), École des hautes études en sciences sociales (EHESS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Gérontopôle, Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université Paris-Est Marne-la-Vallée (UPEM), Eindhoven University of Technology [Eindhoven] (TU/e), Département pneumologie et addictologie [Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Arnaud de Villeneuve, IMIM-Hospital del Mar, Generalitat de Catalunya, Groupe Matrice Extracellulaire et Biomineralisation, Université Paris Descartes - Paris 5 (UPD5), GEOMAR LEGOS, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut de génétique humaine (IGH), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Telecom Bretagne, Brest, Laboratoire de magnétisme et d'optique de Versailles (LMOV), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Service de Pneumologie, Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-AP-HP - Hôpital Antoine Béclère [Clamart], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Toulouse [Toulouse], Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université Montpellier 1 (UM1)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), CNR, Rome, Italy and Department of Medicine-University of Naples Federico II, Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université de Paris (UP), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Nîmes (CHRU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), University of Naples Federico II-CNR, Rome, Italy and Department of Medicine, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Departement de Cardiologie, Neuropsychiatrie : recherche épidémiologique et clinique, Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Antoine Béclère, UMS011 Cohortes épidémiologiques en population (CONSTANCES), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), HESAM Université (HESAM)-HESAM Université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Météo-France -Institut de Recherche pour le Développement (IRD)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Météo-France -Institut de Recherche pour le Développement (IRD)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPC), Epidemiologie, RS: CAPHRI School for Public Health and Primary Care, RS: CAPHRI - R5 - Optimising Patient Care, Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] ( PhyMedExp ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Montpellier ( UM ) -Centre National de la Recherche Scientifique ( CNRS ), Centre de pharmacologie et innovation dans le diabète ( CPID ), Université Montpellier 1 ( UM1 ) -Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ) -Centre National de la Recherche Scientifique ( CNRS ), Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon ( MACVIA-LR ), Université Montpellier 1 ( UM1 ) -World Health Organization ( WHO/OMS ) -Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre Hospitalier Régional Universitaire de Nîmes ( CHRU Nîmes ) -Université de Montpellier ( UM ) -Centre National de la Recherche Scientifique ( CNRS ) -European Innovation Partnership on Active and Healthy Ageing Reference Site, Medical University of Warsaw-Faculté de Pharmacie de Paris, CNR, Rome, Italy and Department of Medicine-Second University of Naples, Institut d'Electronique du Solide et des Systèmes ( InESS ), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique ( CNRS ), Departamento de Biología Molecular y Celular del Cáncer ( CSIC-UAM ), Hôpital Lapeyronie [Montpellier] ( CHU ), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle ( CRESS - U1153 ), Université Paris 13 ( UP13 ) -Institut National de la Recherche Agronomique ( INRA ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ) -Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( CRESS (U1153 / UMR_A 1125) ), Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ), Gerontopole of Toulouse, CHU- Université de Toulouse, Université Paris-Est Marne-la-Vallée ( UPEM ), Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ), Eindhoven University of Technology [Eindhoven] ( TU/e ), Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ) -Hôpital Arnaud de Villeneuve, Université Paris Descartes - Paris 5 ( UPD5 ), Laboratoire d'études en Géophysique et océanographie spatiales ( LEGOS ), Université Paul Sabatier - Toulouse 3 ( UPS ) -Centre National d'Etudes Spatiales ( CNES ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Observatoire Midi-Pyrénées ( OMP ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Paul Sabatier - Toulouse 3 ( UPS ) -Centre National d'Etudes Spatiales ( CNES ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Observatoire Midi-Pyrénées ( OMP ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche en Infectiologie de Montpellier ( IRIM ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Montpellier ( UM ), Institut de génétique humaine ( IGH ), Université de Montpellier ( UM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire AIM, Université Paris Diderot - Paris 7 ( UPD7 ) -Centre d'Etudes de Saclay, Laboratoire de magnétisme et d'optique de Versailles ( LMOV ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Centre National de la Recherche Scientifique ( CNRS ), Cognition, Action, et Plasticité Sensorimotrice [Dijon - U1093] ( CAPS ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Space Science Division, Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Montpellier 1 ( UM1 ) -Université de Montpellier ( UM ), Université Paris-Sud - Paris 11 ( UP11 ) -Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Antoine Béclère, UMS11 Cohortes en population, Institut National de la Santé et de la Recherche Médicale ( INSERM ), Groningen Research Institute for Asthma and COPD (GRIAC), Bousquet, J., Kuh, D., Bewick, M., Strandberg, T., Farrell, J., Pengelly, R., Joel, M. E., Rodriguez Manas, L., Mercier, J., Bringer, J., Camuzat, T., Bourret, R., Bedbrook, A., Kowalski, M. L., Samolinski, B., Bonini, S., Brayne, C., Michel, J. P., Venne, J., Viriot-Durandal, P., Alonso, J., Avignon, A., Bousquet, P. J., Combe, B., Cooper, R., Hardy, R., Iaccarino, G., Keil, T., Kesse-Guyot, E., Momas, I., Ritchie, K., Robine, J. M., Thijs, C., Tischer, C., Vellas, B., Zaidi, A., Alonso, F., Andersen Ranberg, K., Andreeva, V., Ankri, J., Arnavielhe, S., Arshad, S. H., Auge, P., Berr, C., Bertone, P., Blain, H., Blasimme, A., Buijs, G. J., Caimmi, D., Carriazo, A., Cesario, A., Coletta, J., Cosco, T., Criton, M., Cuisinier, F., Demoly, P., Fernandez-Nocelo, S., Fougere, B., Garcia-Aymerich, J., Goldberg, M., Guldemond, N., Gutter, Z., Harman, D., Hendry, A., Heve, D., Illario, M., Jeandel, C., Krauss-Etschmann, S., Krys, O., Kula, D., Laune, D., Lehmann, S., Maier, D., Malva, J., Matignon, P., Melen, E., Mercier, G., Moda, G., Nizinkska, A., Nogues, M., Ogneill, M., Pelissier, J. Y., Poethig, D., Porta, D., Postma, D., Puisieux, F., Richards, M., Robalo-Cordeiro, C., Romano, V., Roubille, F., Schulz, H., Scott, A., Senesse, P., Slagter, S., Smit, H. A., Somekh, D., Stafford, M., Suanzes, J., Todo-Bom, A., Touchon, J., Traver-Salcedo, V., Van Beurden, M., Varraso, R., Vergara, I., Villalba-Mora, E., Wilson, N., Wouters, E., and Zins, M.

Subjects
Gerontology, LANGUEDOC-ROUSSILLON, Reference site, EUROPEAN INNOVATION PARTNERSHIP, [SDV]Life Sciences [q-bio], Population, and Healthy Ageing, 03 medical and health sciences, MACVIA-LR, active and healthy ageing, 0302 clinical medicine, Quality of life (healthcare), Medicine, media_common.cataloged_instance, definition, 030212 general & internal medicine, European union, education, ComputingMilieux_MISCELLANEOUS, media_common, education.field_of_study, [ SDV ] Life Sciences [q-bio], Operational definition, business.industry, MACVIA LR, EIP, european innovation partnership on active and healthy ageing, Noncommunicable disease, General partnership, Healthy ageing, Geriatrics and Gerontology, business, Active and Healthy Ageing, Definition, European Innovation Partnership on Active, 030217 neurology & neurosurgery
Abstract

International audience; The broad concept of Active and Healthy Ageing was proposed by WHO as the process of optimizing opportunities for health to enhance quality of life as people age. It applies to both individuals and population groups. A universal active and healthy ageing definition is not available and may differ depending on the purpose of the definition and/or the questions raised. The European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) has had a major impact but a definition of Active and Healthy Ageing is urgently needed. A meeting was organised in Montpellier October 20-21, 2014 as the annual conference of the EIP on AHA Reference Site MACVIA-LR (contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc Roussillon). The goal of the meeting was to propose an operational definition of Active and Healthy Ageing as well as tools that may be used for this definition. The current paper provides a summary of the plenary presentations that were given during the meeting.

Published
2015

32. Technology Use for Social Interaction Amongst Older Adults During the COVID-19 Pandemic: A Qualitative Study.

Author

Haase KR, Kardeh B, Kilgour H, Detwyler D, Verma R, Cosco T, Peacock S, and O'Connell ME

Subjects
Humans, Aged, Female, Male, Pandemics, Aged, 80 and over, SARS-CoV-2, Middle Aged, Telemedicine, COVID-19 epidemiology, Qualitative Research, Social Interaction
Abstract

The COVID-19 pandemic had an impact on socialization across all age groups but older adults experienced additional challenges. The purpose of this study was to explore older adults' perceptions and experiences of using technology to support social interactions during the COVID-19 pandemic. We used a qualitative interpretive descriptive approach to understand community dwelling older adults' perceptions of their experiences. We analyzed data using an interpretive thematic analysis approach. Forty-one older adults (median age 74yrs) participated in in-depth interviews exploring experiences of using technology to support their social interaction during the pandemic. Participants discussed the transition towards virtual means of socialization during the pandemic, perceptions of using technology for social interaction, and challenges to adapting to virtual connection. We discuss our findings and the implications for how we introduce technology to older adults.

Published
2024
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33. A Multi-Method Exploration of Older Adults' Technology Use During the Pandemic in Two Canadian Provinces.

Author

Haase KR, Cosco T, Peacock S, and O'Connell ME

Subjects
Humans, Aged, Cross-Sectional Studies, Female, Male, Pandemics, Canada epidemiology, Aged, 80 and over, SARS-CoV-2, Social Isolation, Interviews as Topic, Surveys and Questionnaires, COVID-19 epidemiology
Abstract

The pandemic caused a rapid shift to reliance on technology to meet basic daily needs related to both health and social interaction. As social isolation is known to be a major contributing factor to physiologic decline and psychological morbidity amongst older adults, we sought to study this shift, and conducted a multi-method study including; (1) a cross-sectional telephone survey and in-depth interviews with community dwelling older adults; and (2) interviews with community organizations supporting technology use for older adults. Quantitative data were analysed using descriptive, inferential statistics; qualitative data were analyzed using thematic analysis. Over 800 older adults completed surveys; 41 completed interviews. 26 community organizations shared their perceptions of supporting the rapid shift to virtual technology. Our results emphasize that social pressure plays a core role in adoption of new technology skills. These results are critical to appraise as reliance on digital technologies continues and look to support older adults.

Published
2024
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34. A Subtype Perspective on Cognitive Trajectories in Healthy Aging.

Author

Rodrigues EA, Christie GJ, Cosco T, Farzan F, Sixsmith A, and Moreno S

Abstract

Cognitive aging is a complex and dynamic process characterized by changes due to genetics and environmental factors, including lifestyle choices and environmental exposure, which contribute to the heterogeneity observed in cognitive outcomes. This heterogeneity is particularly pronounced among older adults, with some individuals maintaining stable cognitive function while others experience complex, non-linear changes, making it difficult to identify meaningful decline accurately. Current research methods range from population-level modeling to individual-specific assessments. In this work, we review these methodologies and propose that population subtyping should be considered as a viable alternative. This approach relies on early individual-specific detection methods that can lead to an improved understanding of changes in individual cognitive trajectories. The improved understanding of cognitive trajectories through population subtyping can lead to the identification of meaningful changes and the determination of timely, effective interventions. This approach can aid in informing policy decisions and in developing targeted interventions that promote cognitive health, ultimately contributing to a more personalized understanding of the aging process within society and reducing the burden on healthcare systems.

Published
2024
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35. Comparison of devices used to measure blood pressure, grip strength and lung function: A randomised cross-over study.

Author

Lessof C, Cooper R, Wong A, Bendayan R, Caleyachetty R, Cheshire H, Cosco T, Elhakeem A, Hansell AL, Kaushal A, Kuh D, Martin D, Minelli C, Muthuri S, Popham M, Shaheen SO, Sturgis P, and Hardy R

Subjects
Male, Humans, Female, Blood Pressure, Cross-Over Studies, Lung, Reproducibility of Results, Blood Pressure Determination, Hand Strength physiology
Abstract

Background: Blood pressure, grip strength and lung function are frequently assessed in longitudinal population studies, but the measurement devices used differ between studies and within studies over time. We aimed to compare measurements ascertained from different commonly used devices., Methods: We used a randomised cross-over study. Participants were 118 men and women aged 45-74 years whose blood pressure, grip strength and lung function were assessed using two sphygmomanometers (Omron 705-CP and Omron HEM-907), four handheld dynamometers (Jamar Hydraulic, Jamar Plus+ Digital, Nottingham Electronic and Smedley) and two spirometers (Micro Medical Plus turbine and ndd Easy on-PC ultrasonic flow-sensor) with multiple measurements taken on each device. Mean differences between pairs of devices were estimated along with limits of agreement from Bland-Altman plots. Sensitivity analyses were carried out using alternative exclusion criteria and summary measures, and using multilevel models to estimate mean differences., Results: The mean difference between sphygmomanometers was 3.9mmHg for systolic blood pressure (95% Confidence Interval (CI):2.5,5.2) and 1.4mmHg for diastolic blood pressure (95% CI:0.3,2.4), with the Omron HEM-907 measuring higher. For maximum grip strength, the mean difference when either one of the electronic dynamometers was compared with either the hydraulic or spring-gauge device was 4-5kg, with the electronic devices measuring higher. The differences were small when comparing the two electronic devices (difference = 0.3kg, 95% CI:-0.9,1.4), and when comparing the hydraulic and spring-gauge devices (difference = 0.2kg, 95% CI:-0.8,1.3). In all cases limits of agreement were wide. The mean difference in FEV1 between spirometers was close to zero (95% CI:-0.03,0.03), limits of agreement were reasonably narrow, but a difference of 0.47l was observed for FVC (95% CI:0.53,0.42), with the ndd Easy on-PC measuring higher., Conclusion: Our study highlights potentially important differences in measurement of key functions when different devices are used. These differences need to be considered when interpreting results from modelling intra-individual changes in function and when carrying out cross-study comparisons, and sensitivity analyses using correction factors may be helpful., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Lessof et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Published
2023
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36. Deciphering the role of physical activity in stress management during a global pandemic in older adult populations: a systematic review protocol.

Author

Churchill R, Riadi I, Kervin L, Teo K, and Cosco T

Subjects
Aged, Exercise, Humans, Meta-Analysis as Topic, Quality of Life, Review Literature as Topic, SARS-CoV-2, Systematic Reviews as Topic, COVID-19, Pandemics prevention & control
Abstract

Background: The world has changed dramatically since the beginning of 2020 due to COVID-19. As a result of the pandemic, many older adults are now experiencing an increased and unprecedented amount of psychological stress. Physical activity has been found to be an evidence-based means of combating stress among older adults to promote their quality of life. Studies have demonstrated that those who are physically active experience fewer issues in regard to their mental health, specifically depression and anxiety disorders. Engagement in physical activity may exert a protective influence over stress inducing events and future mental health outcomes. Due to exercise being inexpensive, non-invasive, and effective even via incremental increases in activity level, physical activity interventions should be investigated as a therapy for reducing stress for older adults during the current pandemic., Methods: Four electronic databases (PubMed, PsycInfo, Web of Science, and SportDiscus) will be searched to identify randomized controlled trials that evaluate the effectiveness of physical activity or exercise programs as a psychological stress management tool in adults 50 years of age or older. Only peer-reviewed and published journal articles will be reviewed. Post-intervention psychological stress measures in comparison to baseline stress will be the primary outcome of interest. All studies will be assessed for bias using Cochrane's risk of bias tool. A random effects meta-analysis will be investigated if sufficient evidence of homogenous research exists and the heterogeneity of effect sizes will be tabulated., Discussion: This review will determine the effectiveness of various physical activity interventions for the treatment of psychological stress among the older adult population. This knowledge will help inform care aides, clinicians, family members, and older adults themselves of the most effective physical activity interventions in dealing with stress which is relevant to the ongoing pandemic., Systematic Review Registration: PROSPERO CRD42020192546.

Published
2021
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37. Older Adults' Experiences With Using Technology for Socialization During the COVID-19 Pandemic: Cross-sectional Survey Study.

Author

Haase KR, Cosco T, Kervin L, Riadi I, and O'Connell ME

Abstract

Background: Technology use has become the most critical approach to maintaining social connectedness during the COVID-19 pandemic. Older adults (aged >65 years) are perceived as the most physiologically susceptible population to developing COVID-19 and are at risk of secondary mental health challenges related to the social isolation that has been imposed by virus containment strategies. To mitigate concerns regarding sampling bias, we analyzed a random sample of older adults to understand the uptake and acceptance of technologies that support socialization during the pandemic., Objective: We aimed to conduct a population-based assessment of the barriers and facilitators to engaging in the use of technology for web-based socialization among older adults in the Canadian province of British Columbia during the COVID-19 pandemic., Methods: We conducted a cross-sectional, population-based, regionally representative survey by using the random-digit dialing method to reach participants aged >65 years who live in British Columbia. Data were analyzed using SPSS (IBM Corporation), and open-text responses were analyzed via thematic analysis., Results: Respondents included 400 older adults aged an average of 72 years, and 63.7% (n=255) of respondents were female. Most respondents (n=358, 89.5%) were aware of how to use technology to connect with others, and slightly more than half of the respondents (n=224, 56%) reported that, since the beginning of the pandemic, they used technology differently to connect with others during the pandemic. Additionally, 55.9% (n=223) of respondents reported that they adopted new technology since the beginning of the pandemic. Older adults reported the following key barriers to using technology: (1) a lack of access (including finance-, knowledge-, and age-related issues); (2) a lack of interest (including a preference for telephones and a general lack of interest in computers); and (3) physical barriers (resultant of cognitive impairments, stroke, and arthritis). Older adults also reported the following facilitators: (1) a knowledge of technologies (from self-teaching or external courses); (2) reliance on others (family, friends, and general internet searches); (3) technology accessibility (including appropriate environments, user-friendly technology, and clear instructions); and (4) social motivation (everyone else is doing it)., Conclusions: Much data on older adults' use of technology are limited by sampling biases, but this study, which used a random sampling method, demonstrated that older adults used technology to mitigate social isolation during the pandemic. Web-based socialization is the most promising method for mitigating potential mental health effects that are related to virus containment strategies. Providing telephone training; creating task lists; and implementing the facilitators described by participants, such as facilitated socialization activities, are important strategies for addressing barriers, and these strategies can be implemented during and beyond the pandemic to bolster the mental health needs of older adults., (©Kristen R Haase, Theodore Cosco, Lucy Kervin, Indira Riadi, Megan E O'Connell. Originally published in JMIR Aging (https://aging.jmir.org), 23.04.2021.)

Published
2021
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38. Help-seeking behaviours among older adults: a scoping review protocol.

Author

Teo K, Churchill R, Riadi I, Kervin L, and Cosco T

Subjects
Aged, Delivery of Health Care, Ethnicity, Humans, Meta-Analysis as Topic, Minority Groups, Peer Review, Research Design, Review Literature as Topic, Systematic Reviews as Topic, Help-Seeking Behavior
Abstract

Introduction: Despite evidence that illustrates the unmet healthcare needs of older adults, there is limited research examining their help-seeking behaviour, of which direct intervention can improve patient outcomes. Research in this area conducted with a focus on ethnic minority older adults is also needed, as their help-seeking behaviours may be influenced by various cultural factors. This scoping review aims to explore the global literature on the factors associated with help-seeking behaviours of older adults and how cultural values and backgrounds may impact ethnic minority older adults' help-seeking behaviours in different ways., Methods and Analysis: The scoping review process will be guided by the methodology framework of Arksey and O'Malley and the Preferred Reporting Items for Systematic Reviews and Meta-analysis Protocols Extension for Scoping Reviews guidelines. The following electronic databases will be systematically searched from January 2005 onwards: MEDLINE/PubMed, Web of Science, PsycINFO, CINAHL and Scopus. Studies of various designs and methodologies consisting of older adults aged 65 years or older, who are exhibiting help-seeking behaviours for the purpose of remedying a physical or mental health challenge, will be considered for inclusion. Two reviewers will screen full texts and chart data. The results of this scoping review will be summarised quantitatively through numerical counts and qualitatively through a narrative synthesis., Ethics and Dissemination: As this is a scoping review of published literature, ethics approval is not required. Results will be disseminated through publication in a peer-reviewed journal., Discussion: This scoping review will synthesise the current literature related to the help-seeking behaviours of older adults and ethnic minority older adults. It will identify current gaps in research and potential ways to move forward in developing or implementing strategies that support the various health needs of the diverse older adult population., Registration: This scoping review protocol has been registered with the Open Science Framework (https://osf.io/69kmx)., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Published
2021
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39. A systematic review of physical and psychological health and wellbeing of older women in Sub-Saharan Africa.

Author

Mangipudi S, Cosco T, and Harper S

Subjects
Africa South of the Sahara epidemiology, Aged, Delivery of Health Care, Female, Health Facilities, Humans, Male, Patient Acceptance of Health Care, Noncommunicable Diseases epidemiology
Abstract

Background: Sub-Saharan Africa (SSA) has the fastest growing proportion of older adults in the world, the majority of whom are women. Global health agendas, however, continue to deprioritise older women's health issues, including the incidence of and mortality from non-communicable disease (NCDs). This is the first systematic review to address the health, wellbeing and healthcare utilization of older SSA women., Methods: Studies with primary analysis of health, wellbeing and/or healthcare utilization outcomes for women over the age of 50 from SSA countries were included. Databases searched include EMBASE, Scopus and Psycinfo., Findings: About 26 studies from six SSA countries met inclusion criteria. Studies regarding NCDs predominated (n = 12), followed by healthcare utilization (n = 4), disability (n = 4), wellbeing (n = 2), depression (n = 2) and HIV (n = 2). Every study indicated significantly lower self-rated health and wellbeing, higher rates of depression, hypertension, obesity, disability or weakness for women compared with men. The studies also indicated that older women use healthcare more often, and choose public over private facilities more often., Interpretation: The studies in the review had large, diverse samples. This review demonstrates the need for more gender-specific studies to better understand the unique challenges older women face in managing NCDs in particular., (© The Author(s) 2019. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Published
2020
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40. Health behaviors and multimorbidity resilience among older adults using the Canadian Longitudinal Study on Aging.

Author

Wister A, Cosco T, Mitchell B, and Fyffe I

Subjects
Aged, Aged, 80 and over, Canada epidemiology, Chronic Disease, Female, Humans, Life Style, Linear Models, Longitudinal Studies, Male, Aging psychology, Health Behavior, Multimorbidity trends, Population Surveillance methods, Resilience, Psychological
Abstract

Objective: Recently, there has been a growing interest in examining forms of illness-related resilience. This study examines associations between lifestyle behavioral factors and multimorbidity resilience (MR) among older adults., Methods: Using baseline data from the Comprehensive Cohort of the Canadian Longitudinal Study on Aging, we studied 6,771 Canadian adults aged 65 or older who reported two or more of 27 chronic conditions, and three multimorbidity clusters: cardiovascular/metabolic, osteo-related, and mental health. Associations were explored using hierarchical linear regression modeling, controlling for sociodemographic, social/environmental, and illness context covariates., Results: Among older adults with two or more illnesses, as well as the cardiovascular/metabolic and osteo-related illness clusters, having a non-obese body mass, being a non-smoker, satisfaction with quality of sleep, having a good appetite, and not skipping meals are associated with MR. However, the mental-health cluster resulted in different behavioral lifestyle associations, where MR was not associated with obesity, smoking, or appetite, but inactivity demonstrated moderate positive associations with MR., Discussion: While there are similar patterns of lifestyle behaviors across multimorbidity and multimorbidity clusters involving physiological chronic illnesses, those associated with mental health are distinct. The results have implications for healthy aging among persons coping with multimorbidity.

Published
2020
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41. Development and Concurrent Validity of a Composite Social Isolation Index for Older Adults Using the CLSA.

Author

Wister A, Cosco T, Mitchell B, Menec V, and Fyffe I

Subjects
Aged, Aged, 80 and over, Aging psychology, Canada, Cross-Sectional Studies, Female, Humans, Interviews as Topic, Linear Models, Loneliness, Male, Marital Status, Social Networking, Social Participation, Social Isolation, Surveys and Questionnaires
Abstract

ABSTRACTSocial isolation, given its established association with mortality, and risk of poor physical and/or mental health over the life course, has attracted the attention of researchers. However, such measures have been highly variable and often lack conceptual clarity. This study, which drew on a conceptual framework for classifying social isolation measures, provides a rationale for the development and validation of a composite Social Isolation Index (SII) using the Canadian Longitudinal Study on Aging (CLSA), together abbreviated as CLSA-SII. CLSA-SII was developed using standard methodology for developing other measures, including the multimorbidity resilience and successful aging indices. Associations of the CLSA-SII and four key outcome variables (life satisfaction scale, depression, perceived mental health, and perceived health) were performed using regression analyses. Associations between the CLSA-SII index and the four outcome variables resulted in statistically significant moderate associations in the expected direction, and are consistent with prior research, demonstrating good concurrent validity.

Published
2019
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42. Development and validation of a multi-domain multimorbidity resilience index for an older population: results from the baseline Canadian Longitudinal Study on Aging.

Author

Wister A, Lear S, Schuurman N, MacKey D, Mitchell B, Cosco T, and Fyffe I

Subjects
Aged, Aged, 80 and over, Canada epidemiology, Chronic Disease, Cohort Studies, Female, Humans, Income trends, Longitudinal Studies, Male, Marital Status, Middle Aged, Reproducibility of Results, Aging psychology, Multimorbidity trends, Population Surveillance methods, Resilience, Psychological, Surveys and Questionnaires standards
Abstract

Background: Multimorbidity is recognized as a major public health issue that increases with age and affects approximately two-thirds of older people in Canada, the US, Australia and many European countries. This study develops and tests a three domain (functional, social and psychological) multimorbidity resilience composite index based on a previously developed lifecourse model of multimorbidity resilience, incorporating measures of adversity and positive adaptation. The criterion validity of the measure is demonstrated by means of an analysis of key outcome variables drawn from the literature., Methods: We used the baseline data from the Comprehensive Cohort of the Canadian Longitudinal Study on Aging. Associations of functional, social, psychological as well as total resilience with two health utilization and three illness context outcome variables were examined using logistic regression analyses, adjusted for age, gender, marital status, income, education, region, and number of chronic conditions., Results: The sample included all 6771 Canadian adults aged 65 or older (mean age 73.0, 57% women) who reported two or more of 27 possible chronic conditions. Total resilience was associated with: perceived health (OR = 1.68, CI 1.59-1.77); sleep quality (OR = 1.34, CI 1.30-1.38); perceived pain (OR = 0.80, CI 0.77-0.83); hospital overnight stays (OR = 0.87, CI 0.83-0.91); and emergency department visits (OR = 0.90, CI 0.87-0.94)., after adjusting for socio-demographic factors, and number of chronic conditions. These associations were similar for the unadjusted models, as well as for the functional, social and psychological resilience sub-indices., Conclusions: Combining components of adversity and positive adaptation within functional, social and psychological domains produces a measure of multimorbidity resilience that is associated with more positive health outcomes. Several implications of a composite multimorbidity resilience measure for clinical practice are identified. This measure can be replicated using measures found in other secondary health data sets. Future validation using longitudinal data is warranted.

Published
2018
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43. An examination of the anxiolytic effects of exercise for people with anxiety and stress-related disorders: A meta-analysis.

Author

Stubbs B, Vancampfort D, Rosenbaum S, Firth J, Cosco T, Veronese N, Salum GA, and Schuch FB

Subjects
Adult, Anxiety psychology, Humans, Randomized Controlled Trials as Topic, Stress, Psychological psychology, Treatment Outcome, Anti-Anxiety Agents, Anxiety therapy, Exercise psychology, Exercise Therapy methods, Stress, Psychological therapy
Abstract

The literature regarding exercise for people with established anxiety disorders is equivocal. To address this issue, we conducted a systematic review and meta-analysis investigating the benefits of exercise compared to usual treatment or control conditions in people with an anxiety and/or stress-related disorders. Major electronic databases were searched from inception until December/2015 and a random effect meta-analysis conducted. Altogether, six randomized control trials (RCTs) including 262 adults (exercise n=132, 34.74 [9.6] years; control n=130, 37.34 [10.0] years) were included. Exercise significantly decreased anxiety symptoms more than control conditions, with a moderate effect size (Standardized Mean Difference=-0.582, 95%CI -1.0 to -0.76, p=0.02). Our data suggest that exercise is effective in improving anxiety symptoms in people with a current diagnosis of anxiety and/ or stress-related disorders. Taken together with the wider benefits of exercise on wellbeing and cardiovascular health, these findings reinforce exercise as an important treatment option in people with anxiety/stress disorders., (Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.)

Published
2017
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44. Weight loss is associated with improvements in cognitive function among overweight and obese people: A systematic review and meta-analysis.

Author

Veronese N, Facchini S, Stubbs B, Luchini C, Solmi M, Manzato E, Sergi G, Maggi S, Cosco T, and Fontana L

Subjects
Exercise, Humans, Weight Loss, Cognition, Obesity, Overweight
Abstract

Whilst obesity is associated with a higher risk of cognitive impairment, the influence of weight loss on cognitive function in obese/overweight people is equivocal. We conducted a meta-analysis of randomized controlled trials (RCTs) and longitudinal studies evaluating the influence of voluntary weight loss on cognitive function in obese/overweight individuals. Articles were acquired from a systematic search of major databases from inception till 01/2016. A random effect meta-analysis of weight loss interventions (diet, physical activity, bariatric surgery) on different cognitive domains (memory, attention, executive functions, language and motor speed) was conducted. Twenty studies (13 longitudinal studies=551 participants; 7 RCTs=328 treated vs. 140 controls) were included. Weight loss was associated with a significant improvement in attention and memory in both longitudinal studies and RCTs, whereas executive function and language improved in longitudinal and RCT studies, respectively. In conclusion, intentional weight loss in obese/overweight people is associated with improvements in performance across various cognitive domains. Future adequately powered RCTs are required to confirm/refute these findings., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

Published
2017
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45. The epidemiology of back pain and its relationship with depression, psychosis, anxiety, sleep disturbances, and stress sensitivity: Data from 43 low- and middle-income countries.

Author

Stubbs B, Koyanagi A, Thompson T, Veronese N, Carvalho AF, Solomi M, Mugisha J, Schofield P, Cosco T, Wilson N, and Vancampfort D

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Comorbidity, Female, Humans, Male, Middle Aged, Young Adult, Anxiety Disorders epidemiology, Back Pain epidemiology, Depressive Disorder epidemiology, Developing Countries statistics & numerical data, Global Health statistics & numerical data, Psychotic Disorders epidemiology, Sleep Wake Disorders epidemiology, Stress, Psychological epidemiology
Abstract

Background: Back pain (BP) is a leading cause of global disability. However, population-based studies investigating its impact on mental health outcomes are lacking, particularly among low- and middle-income countries (LMICs). Thus, the primary aims of this study were to: (1) determine the epidemiology of BP in 43 LMICs; (2) explore the relationship between BP and mental health (depression spectrum, psychosis spectrum, anxiety, sleep disturbances and stress)., Methods: Data on 190,593 community-dwelling adults aged ≥18 years from the World Health Survey (WHS) 2002-2004 were analyzed. The presence of past-12 month psychotic symptoms and depression was established using questions from the Composite International Diagnostic Interview. Anxiety, sleep problems, stress sensitivity, and any BP or chronic BP (CBP) during the previous 30 days were also self-reported. Multivariable logistic regression analyses were undertaken., Results: The overall prevalence of any BP and CBP were 35.1% and 6.9% respectively. Significant associations with any BP were observed for subsyndromal depression [OR (odds ratio)=2.21], brief depressive episode (OR=2.64), depressive episode (OR=2.88), psychosis diagnosis with symptoms (OR=2.05), anxiety (OR=2.12), sleep disturbance (OR=2.37) and the continuous variable of stress sensitivity. Associations were generally more pronounced for chronic BP., Conclusion: Our data establish that BP is associated with elevated mental health comorbidity in LMICs. Integrated interventions that address back pain and metal health comorbidities might be an important next step to tackle this considerable burden., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Published
2016
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46. Attitudes and preferences towards screening for dementia: a systematic review of the literature.

Author

Martin S, Kelly S, Khan A, Cullum S, Dening T, Rait G, Fox C, Katona C, Cosco T, Brayne C, and Lafortune L

Subjects
Humans, Attitude of Health Personnel, Dementia diagnosis, Mass Screening, Patient Preference
Abstract

Background: Population screening might provide a mechanism to enable early detection of dementia. Yet the potential benefits, harms or acceptability of such a large-scale intervention are not well understood. This research aims to examine the attitudes and preferences of the general public, health care professionals, people with dementia and their carers towards population screening for dementia., Methods: A systematic review of the international literature was undertaken. A search of fifteen bibliographic databases was conducted (up to 12 July 2012; no language restriction) using terms related to dementia, screening, specific screening tools, case finding, and attitudes and preferences; genetic screening and biomarkers were excluded. All study designs were included except opinion-based papers. Included papers were doubly quality assessed and thematically analysed using NVivo., Results: 29,910 papers were identified of which 29 met the inclusion criteria. We identified seventeen themes relating to the 3 phases of the screening process (pre-, in- and post-screen) - none emerged as more of a facilitator than a barrier to the acceptance of dementia screening. Seven themes emerged in relation to the patient, carer and general population: existing health state; lifestyle and life view; awareness of dementia; role of clinician; communication; benefit; and role of the family. Ten themes emerged in relation to the clinician and healthcare professional: patient's existing health and comorbidities; awareness of dementia; confidence; duration of patient contact; suitability of screening tool; cost; disclosure; time; treatment and prognosis; and stigma., Conclusions: As for all screening programmes, screening for dementia raises complex issues around preference and choice for clinicians and the public, and it is unclear what specific factors promote or reduce screening acceptance the most. Overall, the level of evidence is low, few large scale studies have been undertaken and none were conducted in representative samples, all affecting the generalizability of identified themes across healthcare contexts. Nevertheless, our findings suggest that population screening for dementia may not be acceptable to either the general public or health care professionals, and highlight where focused efforts are needed to gain insights into dementia specific issues.

Published
2015
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47. The Hospital Anxiety and Depression Scale: a meta confirmatory factor analysis.

Author

Norton S, Cosco T, Doyle F, Done J, and Sacker A

Subjects
Anhedonia, Anxiety Disorders psychology, Arousal, Depressive Disorder, Major psychology, Factor Analysis, Statistical, Humans, Psychometrics statistics & numerical data, Reproducibility of Results, Sick Role, Somatoform Disorders diagnosis, Somatoform Disorders psychology, Anxiety Disorders diagnosis, Depressive Disorder, Major diagnosis, Surveys and Questionnaires
Abstract

Objective: To systematically evaluate the latent structure of the Hospital Anxiety and Depression Scale (HADS) through reanalysis of previous studies and meta confirmatory factor analysis (CFA)., Method: Data from 28 samples were obtained from published studies concerning the latent structure of the HADS. Ten models were considered, including eight previously identified models and two bifactor models. The fit of each model was assessed separately in each sample and by meta CFA. Meta CFA was conducted using all samples and using subgroups consisting of community samples, cardiovascular disease samples and samples from studies administering the English language version of the HADS., Results: A bifactor model including all items loading onto a general distress factor and two orthogonal anxiety and depression group factors provided the best fit for the majority of samples. Meta CFA provided further support for the bifactor model with two group factors. This was the case using all samples, as well as all subgroup analyses. The general distress factor explained 73% of the covariance between items, with the (autonomic) anxiety and (anhedonic) depression factors explaining 11% and 16%, respectively., Conclusion: A bifactor structure provides the most acceptable empirical explanation for the HADS correlation structure. Due to the presence of a strong general factor, the HADS does not provide good separation between symptoms of anxiety and depression. We recommend it is best used as a measure of general distress., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Published
2013
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