10 results on '"Lo, J.W."'
Search Results
2. Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models.
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Li, R., Harshfield, E.L., Bell, S., Burkhart, M., Tuladhar, A.M., Hilal, S., Tozer, D.J., Chappell, F.M., Makin, S.D.J., Lo, J.W., Wardlaw, J.M., Leeuw, F.E. de, Chen, C, Kourtzi, Z., Markus, H.S., Li, R., Harshfield, E.L., Bell, S., Burkhart, M., Tuladhar, A.M., Hilal, S., Tozer, D.J., Chappell, F.M., Makin, S.D.J., Lo, J.W., Wardlaw, J.M., Leeuw, F.E. de, Chen, C, Kourtzi, Z., and Markus, H.S.
- Abstract
Contains fulltext : 295930.pdf (Publisher’s version ) (Open Access), BACKGROUND: Cerebral small vessel disease (SVD) contributes to 45% of dementia cases worldwide, yet we lack a reliable model for predicting dementia in SVD. Past attempts largely relied on traditional statistical approaches. Here, we investigated whether machine learning (ML) methods improved prediction of incident dementia in SVD from baseline SVD-related features over traditional statistical methods. METHODS: We included three cohorts with varying SVD severity (RUN DMC, n = 503; SCANS, n = 121; HARMONISATION, n = 265). Baseline demographics, vascular risk factors, cognitive scores, and magnetic resonance imaging (MRI) features of SVD were used for prediction. We conducted both survival analysis and classification analysis predicting 3-year dementia risk. For each analysis, several ML methods were evaluated against standard Cox or logistic regression. Finally, we compared the feature importance ranked by different models. RESULTS: We included 789 participants without missing data in the survival analysis, amongst whom 108 (13.7%) developed dementia during a median follow-up of 5.4 years. Excluding those censored before three years, we included 750 participants in the classification analysis, amongst whom 48 (6.4%) developed dementia by year 3. Comparing statistical and ML models, only regularised Cox/logistic regression outperformed their statistical counterparts overall, but not significantly so in survival analysis. Baseline cognition was highly predictive, and global cognition was the most important feature. CONCLUSIONS: When using baseline SVD-related features to predict dementia in SVD, the ML survival or classification models we evaluated brought little improvement over traditional statistical approaches. The benefits of ML should be evaluated with caution, especially given limited sample size and features.
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- 2023
3. Does parity matter in women's risk of dementia? A COSMIC collaboration cohort study
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Bae, J.B. Lipnicki, D.M. Han, J.W. Sachdev, P.S. Kim, T.H. Kwak, K.P. Kim, B.J. Kim, S.G. Kim, J.L. Moon, S.W. Park, J.H. Ryu, S.-H. Youn, J.C. Lee, D.Y. Lee, D.W. Lee, S.B. Lee, J.J. Jhoo, J.H. Llibre-Rodriguez, J.J. Llibre-Guerra, J.J. Valhuerdi-Cepero, A.J. Ritchie, K. Ancelin, M.-L. Carriere, I. Skoog, I. Najar, J. Sterner, T.R. Scarmeas, N. Yannakoulia, M. Dardiotis, E. Meguro, K. Kasai, M. Nakamura, K. Riedel-Heller, S. Roehr, S. Pabst, A. Van Boxtel, M. Köhler, S. Ding, D. Zhao, Q. Liang, X. Scazufca, M. Lobo, A. De-La-Cámara, C. Lobo, E. Kim, K.W. Makkar, S.R. Crawford, J.D. Thalamuthu, A. Kochan, N.A. Leung, Y. Lo, J.W. Turana, Y. Castro-Costa, E. Larijani, B. Nabipour, I. Rockwood, K. Shifu, X. Lipton, R.B. Katz, M.J. Preux, P.-M. Guerchet, M. Lam, L. Ninimiya, T. Walker, R. Hendrie, H. Guaita, A. Chen, L.-K. Shahar, S. Dominguez, J. Krishna, M. Ganguli, M. Anstey, K.J. Crowe, M. Haan, M.N. Kumagai, S. Ng, T.P. Brodaty, H. Mayeux, R. Schupf, N. Petersen, R. Lipton, R. Lowe, E.S. Jorm, L.
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mental disorders - Abstract
Background: Dementia shows sex difference in its epidemiology. Childbirth, a distinctive experience of women, is associated with the risk for various diseases. However, its association with the risk of dementia in women has rarely been studied. Methods: We harmonized and pooled baseline data from 11 population-based cohorts from 11 countries over 3 continents, including 14,792 women aged 60 years or older. We investigated the association between parity and the risk of dementia using logistic regression models that adjusted for age, educational level, hypertension, diabetes mellitus, and cohort, with additional analyses by region and dementia subtype. Results: Across all cohorts, grand multiparous (5 or more childbirths) women had a 47% greater risk of dementia than primiparous (1 childbirth) women (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.10-1.94), while nulliparous (no childbirth) women and women with 2 to 4 childbirths showed a comparable dementia risk to primiparous women. However, there were differences associated with region and dementia subtype. Compared to women with 1 to 4 childbirths, grand multiparous women showed a higher risk of dementia in Europe (OR = 2.99, 95% CI = 1.38-6.47) and Latin America (OR = 1.49, 95% CI = 1.04-2.12), while nulliparous women showed a higher dementia risk in Asia (OR = 2.15, 95% CI = 1.33-3.47). Grand multiparity was associated with 6.9-fold higher risk of vascular dementia in Europe (OR = 6.86, 95% CI = 1.81-26.08), whereas nulliparity was associated with a higher risk of Alzheimer disease (OR = 1.91, 95% CI 1.07-3.39) and non-Alzheimer non-vascular dementia (OR = 3.47, 95% CI = 1.44-8.35) in Asia. Conclusion: Parity is associated with women's risk of dementia, though this is not uniform across regions and dementia subtypes. © 2020 The Author(s).
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- 2020
4. Education and the moderating roles of age, sex, ethnicity and apolipoprotein epsilon 4 on the risk of cognitive impairment
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Makkar, S.R., Lipnicki, D.M., Crawford, J.D., Kochan, N.A., Castro-Costa, E., Lima-Costa, M.F., Diniz, B.S., Brayne, C., Stephan, B., Matthews, F., Llibre-Rodriguez, J.J., Llibre-Guerra, J.J., Valhuerdi-Cepero, A.J., Lipton, R.B., Katz, M.J., Zammit, A., Ritchie, K., Carles, S., Carriere, I., Scarmeas, N., Yannakoulia, M., Kosmidis, M., Lam, L., Fung, A., Chan, W.C., Guaita, A., Vaccaro, R., Davin, A., Kim, K.W., Han, J.W., Suh, S.W., Riedel-Heller, S.G., Roehr, S., Pabst, A., Ganguli, M., Hughes, T.F., Jacobsen, E.P., Anstey, K.J., Cherbuin, N., Haan, M.N., Aiello, A.E., Dang, K., Kumagai, S., Narazaki, K., Chen, S., Ng, T.P., Gao, Q., Nyunt, M.S.Z., Meguro, K., Yamaguchi, S., Ishii, H., Lobo, A., Lobo Escolar, E., De la Cámara, C., Brodaty, H., Trollor, J.N., Leung, Y., Lo, J.W., Sachdev, P., for, Cohort, Studies, of, Memory, in, an, International, Consortium, (COSMIC), University of New South Wales [Sydney] (UNSW), Fiocruz Minas - René Rachou Research Center / Instituto René Rachou [Belo Horizonte, Brésil], Fundação Oswaldo Cruz (FIOCRUZ), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), University of Toronto, University of Cambridge [UK] (CAM), Newcastle University [Newcastle], University of Havana (Universidad de la Habana) (UH), University of California [San Francisco] (UCSF), University of California, Universidad de Matanzas, Albert Einstein College of Medicine [New York], 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), University of Edinburgh, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital de la Colombière, Columbia University [New York], National and Kapodistrian University of Athens (NKUA), Harokopio University of Athens, Aristotle University of Thessaloniki, The Chinese University of Hong Kong [Hong Kong], The Hong Kong Polytechnic University [Hong Kong] (POLYU), The University of Hong Kong (HKU), Golgi Cenci Foundation, Seoul National University College of Natural Sciences, Seoul National University Bundang Hospital (SNUBH), Universität Leipzig [Leipzig], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE), Youngstown State University (YSU), Australian National University (ANU), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Kyushu University [Fukuoka], Fukuoka Institute of Technology (FIT), National Center for Global Health and Medicine [Japan] (NCGM), National University of Singapore (NUS), Tohoku University [Sendai], and University of Zaragoza - Universidad de Zaragoza [Zaragoza]
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Apolipoprotein E ,Male ,Aging ,Health (social science) ,Apolipoprotein B ,[SDV]Life Sciences [q-bio] ,Apolipoprotein E4 ,Ethnic group ,Cognitive decline ,MESH: Cognitive Dysfunction ,0302 clinical medicine ,MESH: Aged, 80 and over ,MESH: Risk Factors ,Risk Factors ,80 and over ,Ethnicity ,Medicine ,030212 general & internal medicine ,Longitudinal Studies ,MESH: Apolipoprotein E4 ,Cognitive impairment ,MESH: Longitudinal Studies ,Aged, 80 and over ,MESH: Aged ,biology ,Hazard ratio ,Educational Status ,MESH: Ethnic Groups ,Female ,Sex ,Clinical Sciences ,Article ,Education ,03 medical and health sciences ,Age ,Clinical Research ,Acquired Cognitive Impairment ,Humans ,Cognitive Dysfunction ,Aged ,MESH: Humans ,030214 geriatrics ,business.industry ,Prevention ,Neurosciences ,Educational attainment ,MESH: Male ,Brain Disorders ,Quality Education ,Ageing ,for Cohort Studies of Memory in an International Consortium ,Geriatrics ,biology.protein ,Dementia ,Geriatrics and Gerontology ,business ,MESH: Educational Status ,Gerontology ,MESH: Female ,Demography - Abstract
International audience; Background: We examined how the relationship between education and latelife cognitive impairment (defined as a Mini Mental State Examination score below 24) is influenced by age, sex, ethnicity, and Apolipoprotein E epsilon 4 (APOE*4).Methods: Participants were 30,785 dementia-free individuals aged 55-103 years, from 18 longitudinal cohort studies, with an average follow-up ranging between 2 and 10 years. Pooled hazard ratios were obtained from multilevel parametric survival analyses predicting cognitive impairment (CI) from education and its interactions with baseline age, sex, APOE*4 and ethnicity. In separate models, education was treated as continuous (years) and categorical, with participants assigned to one of four education completion levels: Incomplete Elementary; Elementary; Middle; and High School.Results: Compared to Elementary, Middle (HR = 0.645, P = 0.004) and High School (HR = 0.472, P < 0.001) education were related to reduced CI risk. The decreased risk of CI associated with Middle education weakened with older baseline age (HR = 1.029, P = 0.056) and was stronger in women than men (HR = 1.309, P = 0.001). The association between High School and lowered CI risk, however, was not moderated by sex or baseline age, but was stronger in Asians than Whites (HR = 1.047, P = 0.044), and significant among Asian (HR = 0.34, P < 0.001) and Black (HR = 0.382, P = 0.016), but not White, APOE*4 carriers.Conclusion: High School completion may reduce risk of CI associated with advancing age and APOE*4. The observed ethnoregional differences in this effect are potentially due to variations in social, economic, and political outcomes associated with educational attainment, in combination with neurobiological and genetic differences, and warrant further study.
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- 2020
- Full Text
- View/download PDF
5. APOE ε4 and the influence of sex, age, vascular risk factors, and ethnicity on cognitive decline
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Makkar, S.R. Lipnicki, D.M. Crawford, J.D. Kochan, N.A. Castro-Costa, E. Lima-Costa, M.F. Diniz, B.S. Brayne, C. Stephan, B. Matthews, F. Llibre-Rodriguez, J.J. Llibre-Guerra, J.J. Valhuerdi-Cepero, A.J. Lipton, R.B. Katz, M.J. CuilingWang Ritchie, K. Carles, S. Carriere, I. Scarmeas, N. Yannakoulia, M. Kosmidis, M. Lam, L. Chan, W.C. Fung, A. Guaita, A. Vaccaro, R. Davin, A. Kim, K.W. Han, J.W. Suh, S.W. Riedel-Heller, S.G. Roehr, S. Pabst, A. Ganguli, M. Hughes, T.F. Snitz, B. Anstey, K.J. Cherbuin, N. Easteal, S. Haan, M.N. Aiello, A.E. Dang, K. Ng, T.P. Gao, Q. Nyunt, M.S.Z. Brodaty, H. Trollor, J.N. Leung, Y. Lo, J.W. Sachdev, P.
- Abstract
We aimed to examine the relationship between Apolipoprotein E ε4 (APOE*4) carriage on cognitive decline, and whether these associations were moderated by sex, baseline age, ethnicity, and vascular risk factors. Participants were 19,225 individuals aged 54–103 years from 15 longitudinal cohort studies with a mean follow-up duration ranging between 1.2 and 10.7 years. Two-step individual participant data meta-analysis was used to pool results of study-wise analyses predicting memory and general cognitive decline from carriage of one or two APOE*4 alleles, and moderation of these associations by age, sex, vascular risk factors, and ethnicity. Separate pooled estimates were calculated in both men and women who were younger (ie, 62 years) and older (ie, 80 years) at baseline. Results showed that APOE*4 carriage was related to faster general cognitive decline in women, and faster memory decline in men. A stronger dose-dependent effect was observed in older men, with faster general cognitive and memory decline in those carrying two versus one APOE*4 allele. Vascular risk factors were related to an increased effect of APOE*4 on memory decline in younger women, but a weaker effect of APOE*4 on general cognitive decline in older men. The relationship between APOE*4 carriage and memory decline was larger in older-aged Asians than Whites. In sum, APOE*4 is related to cognitive decline in men and women, although these effects are enhanced by age and carriage of two APOE*4 alleles in men, a higher numbers of vascular risk factors during the early stages of late adulthood in women, and Asian ethnicity. © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved.
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- 2020
6. Education and the moderating roles of age, sex, ethnicity and apolipoprotein epsilon 4 on the risk of cognitive impairment
- Author
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Makkar, S.R. Lipnicki, D.M. Crawford, J.D. Kochan, N.A. Castro-Costa, E. Lima-Costa, M.F. Diniz, B.S. Brayne, C. Stephan, B. Matthews, F. Llibre-Rodriguez, J.J. Llibre-Guerra, J.J. Valhuerdi-Cepero, A.J. Lipton, R.B. Katz, M.J. Zammit, A. Ritchie, K. Carles, S. Carriere, I. Scarmeas, N. Yannakoulia, M. Kosmidis, M. Lam, L. Fung, A. Chan, W.C. Guaita, A. Vaccaro, R. Davin, A. Kim, K.W. Han, J.W. Suh, S.W. Riedel-Heller, S.G. Roehr, S. Pabst, A. Ganguli, M. Hughes, T.F. Jacobsen, E.P. Anstey, K.J. Cherbuin, N. Haan, M.N. Aiello, A.E. Dang, K. Kumagai, S. Narazaki, K. Chen, S. Ng, T.P. Gao, Q. Nyunt, M.S.Z. Meguro, K. Yamaguchi, S. Ishii, H. Lobo, A. Lobo Escolar, E. De la Cámara, C. Brodaty, H. Trollor, J.N. Leung, Y. Lo, J.W. Sachdev, P. for Cohort Studies of Memory in an International Consortium (COSMIC)
- Abstract
Background: We examined how the relationship between education and latelife cognitive impairment (defined as a Mini Mental State Examination score below 24) is influenced by age, sex, ethnicity, and Apolipoprotein E epsilon 4 (APOE*4). Methods: Participants were 30,785 dementia-free individuals aged 55–103 years, from 18 longitudinal cohort studies, with an average follow-up ranging between 2 and 10 years. Pooled hazard ratios were obtained from multilevel parametric survival analyses predicting cognitive impairment (CI) from education and its interactions with baseline age, sex, APOE*4 and ethnicity. In separate models, education was treated as continuous (years) and categorical, with participants assigned to one of four education completion levels: Incomplete Elementary; Elementary; Middle; and High School. Results: Compared to Elementary, Middle (HR = 0.645, P = 0.004) and High School (HR = 0.472, P < 0.001) education were related to reduced CI risk. The decreased risk of CI associated with Middle education weakened with older baseline age (HR = 1.029, P = 0.056) and was stronger in women than men (HR = 1.309, P = 0.001). The association between High School and lowered CI risk, however, was not moderated by sex or baseline age, but was stronger in Asians than Whites (HR = 1.047, P = 0.044), and significant among Asian (HR = 0.34, P < 0.001) and Black (HR = 0.382, P = 0.016), but not White, APOE*4 carriers. Conclusion: High School completion may reduce risk of CI associated with advancing age and APOE*4. The observed ethnoregional differences in this effect are potentially due to variations in social, economic, and political outcomes associated with educational attainment, in combination with neurobiological and genetic differences, and warrant further study. © 2020 Elsevier B.V.
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- 2020
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Makkar, S.R. Lipnicki, D.M. Crawford, J.D. Kochan, N.A. Castro-Costa, E. Lima-Costa, M.F. Diniz, B.S. Brayne, C. Stephan, B. Matthews, F. Llibre-Rodriguez, J.J. Llibre-Guerra, J.J. Valhuerdi-Cepero, A.J. Lipton, R.B. Katz, M.J. CuilingWang Ritchie, K. Carles, S. Carriere, I. Scarmeas, N. Yannakoulia, M. Kosmidis, M. Lam, L. Chan, W.C. Fung, A. Guaita, A. Vaccaro, R. Davin, A. Kim, K.W. Han, J.W. Suh, S.W. Riedel-Heller, S.G. Roehr, S. Pabst, A. Ganguli, M. Hughes, T.F. Snitz, B. Anstey, K.J. Cherbuin, N. Easteal, S. Haan, M.N. Aiello, A.E. Dang, K. Ng, T.P. Gao, Q. Nyunt, M.S.Z. Brodaty, H. Trollor, J.N. Leung, Y. Lo, J.W. Sachdev, P. and Makkar, S.R. Lipnicki, D.M. Crawford, J.D. Kochan, N.A. Castro-Costa, E. Lima-Costa, M.F. Diniz, B.S. Brayne, C. Stephan, B. Matthews, F. Llibre-Rodriguez, J.J. Llibre-Guerra, J.J. Valhuerdi-Cepero, A.J. Lipton, R.B. Katz, M.J. CuilingWang Ritchie, K. Carles, S. Carriere, I. Scarmeas, N. Yannakoulia, M. Kosmidis, M. Lam, L. Chan, W.C. Fung, A. Guaita, A. Vaccaro, R. Davin, A. Kim, K.W. Han, J.W. Suh, S.W. Riedel-Heller, S.G. Roehr, S. Pabst, A. Ganguli, M. Hughes, T.F. Snitz, B. Anstey, K.J. Cherbuin, N. Easteal, S. Haan, M.N. Aiello, A.E. Dang, K. Ng, T.P. Gao, Q. Nyunt, M.S.Z. Brodaty, H. Trollor, J.N. Leung, Y. Lo, J.W. Sachdev, P.
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- 2020
8. Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study
- Author
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Lipnicki, D.M. Makkar, S.R. Crawford, J.D. Thalamuthu, A. Kochan, N.A. Lima-Costa, M.F. Castro-Costa, E. Ferri, C.P. Brayne, C. Stephan, B. Llibre-Rodriguez, J.J. Llibre-Guerra, J.J. Valhuerdi-Cepero, A.J. Lipton, R.B. Katz, M.J. Derby, C.A. Ritchie, K. Ancelin, M.-L. Carrière, I. Scarmeas, N. Yannakoulia, M. Hadjigeorgiou, G.M. Lam, L. Chan, W.-C. Fung, A. Guaita, A. Vaccaro, R. Davin, A. Kim, K.W. Han, J.W. Suh, S.W. Riedel-Heller, S.G. Roehr, S. Pabst, A. van Boxtel, M. Köhler, S. Deckers, K. Ganguli, M. Jacobsen, E.P. Hughes, T.F. Anstey, K.J. Cherbuin, N. Haan, M.N. Aiello, A.E. Dang, K. Kumagai, S. Chen, T. Narazaki, K. Ng, T.P. Gao, Q. Nyunt, M.S.Z. Scazufca, M. Brodaty, H. Numbers, K. Trollor, J.N. Meguro, K. Yamaguchi, S. Ishii, H. Lobo, A. Lopez-Anton, R. Santabárbara, J. Leung, Y. Lo, J.W. Popovic, G. Sachdev, P.S. Cohort Studies of Memory in an International Consortium (COSMIC)
- Abstract
Background: With no effective treatments for cognitive decline or dementia, improving the evidence base for modifiable risk factors is a research priority. This study investigated associations between risk factors and late-life cognitive decline on a global scale, including comparisons between ethno-regional groups. Methods and findings: We harmonized longitudinal data from 20 population-based cohorts from 15 countries over 5 continents, including 48,522 individuals (58.4% women) aged 54–105 (mean = 72.7) years and without dementia at baseline. Studies had 2–15 years of follow-up. The risk factors investigated were age, sex, education, alcohol consumption, anxiety, apolipoprotein E ε4 allele (APOE*4) status, atrial fibrillation, blood pressure and pulse pressure, body mass index, cardiovascular disease, depression, diabetes, self-rated health, high cholesterol, hypertension, peripheral vascular disease, physical activity, smoking, and history of stroke. Associations with risk factors were determined for a global cognitive composite outcome (memory, language, processing speed, and executive functioning tests) and Mini-Mental State Examination score. Individual participant data meta-analyses of multivariable linear mixed model results pooled across cohorts revealed that for at least 1 cognitive outcome, age (B = −0.1, SE = 0.01), APOE*4 carriage (B = −0.31, SE = 0.11), depression (B = −0.11, SE = 0.06), diabetes (B = −0.23, SE = 0.10), current smoking (B = −0.20, SE = 0.08), and history of stroke (B = −0.22, SE = 0.09) were independently associated with poorer cognitive performance (p < 0.05 for all), and higher levels of education (B = 0.12, SE = 0.02) and vigorous physical activity (B = 0.17, SE = 0.06) were associated with better performance (p < 0.01 for both). Age (B = −0.07, SE = 0.01), APOE*4 carriage (B = −0.41, SE = 0.18), and diabetes (B = −0.18, SE = 0.10) were independently associated with faster cognitive decline (p < 0.05 for all). Different effects between Asian people and white people included stronger associations for Asian people between ever smoking and poorer cognition (group by risk factor interaction: B = −0.24, SE = 0.12), and between diabetes and cognitive decline (B = −0.66, SE = 0.27; p < 0.05 for both). Limitations of our study include a loss or distortion of risk factor data with harmonization, and not investigating factors at midlife. Conclusions: These results suggest that education, smoking, physical activity, diabetes, and stroke are all modifiable factors associated with cognitive decline. If these factors are determined to be causal, controlling them could minimize worldwide levels of cognitive decline. However, any global prevention strategy may need to consider ethno-regional differences. © 2019 Lipnicki et al.
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- 2019
9. Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study
- Author
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Leung, Y., Lo, J.W., Sachdev, P.S., Carrière, I., Ng, T.P., Numbers, K., van Boxtel, M., Lobo, A., Ishii, H., Jacobsen, E.P., Katz, M.J., Nyunt, M.S.Z., Hughes, T.F., Riedel-Heller, S.G., Trollor, J.N., Stephan, B., Makkar, S.R., Scazufca, M., Köhler, S., Fung, A., Thalamuthu, A., Roehr, S., Valhuerdi-Cepero, A.J., Lima-Costa, M.F., Narazaki, K., Kim, K.W., Lipton, R.B., Ritchie, K., Brayne, C., Chen, T., Ancelin, M.-L., Chan, W.-C., Davin, A., Brodaty, H., Pabst, A., Castro-Costa, E., Deckers, K., Guaita, A., Popovic, G., Lipnicki, D.M., Santabárbara, J., Ferri, C.P., Llibre-Guerra, J.J., Haan, M.N., Meguro, K., Han, J.W., Yannakoulia, M., Cherbuin, N., Kochan, N.A., Lam, L., Suh, S.W., Gao, Q., Anstey, K.J., Aiello, A.E., Vaccaro, R., Ganguli, M., Hadjigeorgiou, G.M., Dang, K., Crawford, J.D., Kumagai, S., Derby, C.A., Llibre-Rodriguez, J.J., Scarmeas, N., and Lopez-Anton, R.
- Abstract
Background: With no effective treatments for cognitive decline or dementia, improving the evidence base for modifiable risk factors is a research priority. This study investigated associations between risk factors and late-life cognitive decline on a global scale, including comparisons between ethno-regional groups. Methods and findings: We harmonized longitudinal data from 20 population-based cohorts from 15 countries over 5 continents, including 48,522 individuals (58.4% women) aged 54–105 (mean = 72.7) years and without dementia at baseline. Studies had 2–15 years of follow-up. The risk factors investigated were age, sex, education, alcohol consumption, anxiety, apolipoprotein E ε4 allele (APOE*4) status, atrial fibrillation, blood pressure and pulse pressure, body mass index, cardiovascular disease, depression, diabetes, self-rated health, high cholesterol, hypertension, peripheral vascular disease, physical activity, smoking, and history of stroke. Associations with risk factors were determined for a global cognitive composite outcome (memory, language, processing speed, and executive functioning tests) and Mini-Mental State Examination score. Individual participant data meta-analyses of multivariable linear mixed model results pooled across cohorts revealed that for at least 1 cognitive outcome, age (B = −0.1, SE = 0.01), APOE*4 carriage (B = −0.31, SE = 0.11), depression (B = −0.11, SE = 0.06), diabetes (B = −0.23, SE = 0.10), current smoking (B = −0.20, SE = 0.08), and history of stroke (B = −0.22, SE = 0.09) were independently associated with poorer cognitive performance (p < 0.05 for all), and higher levels of education (B = 0.12, SE = 0.02) and vigorous physical activity (B = 0.17, SE = 0.06) were associated with better performance (p < 0.01 for both). Age (B = −0.07, SE = 0.01), APOE*4 carriage (B = −0.41, SE = 0.18), and diabetes (B = −0.18, SE = 0.10) were independently associated with faster cognitive decline (p < 0.05 for all). Different effects between Asian people and white people included stronger associations for Asian people between ever smoking and poorer cognition (group by risk factor interaction: B = −0.24, SE = 0.12), and between diabetes and cognitive decline (B = −0.66, SE = 0.27; p < 0.05 for both). Limitations of our study include a loss or distortion of risk factor data with harmonization, and not investigating factors at midlife. Conclusions: These results suggest that education, smoking, physical activity, diabetes, and stroke are all modifiable factors associated with cognitive decline. If these factors are determined to be causal, controlling them could minimize worldwide levels of cognitive decline. However, any global prevention strategy may need to consider ethno-regional differences.
- Published
- 2019
- Full Text
- View/download PDF
10. Late Outcomes of a Randomized Trial of High-Frequency Oscillation in Neonates
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Zivanovic, S., primary, Peacock, J., additional, Alcazar-Paris, M., additional, Lo, J.W., additional, Lunt, A., additional, Marlow, N., additional, Calvert, S., additional, and Greenough, A., additional
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- 2015
- Full Text
- View/download PDF
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