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1. Reference Values for TSH may be Inadequate to Define Hypothyroidism in Persons with Morbid Obesity: Di@bet.es Study

Author

Valdés S, Maldonado-Araque C, Lago-Sampedro A, Lillo-Muñoz JA, Garcia-Fuentes E, Perez-Valero V, Gutiérrez-Repiso C, Garcia-Escobar E, Goday A, Urrutia I, Peláez L, Calle-Pascual A, Bordiú E, Castaño L, Castell C, Delgado E, Menéndez E, Franch-Nadal J, Gaztambide S, Girbés J, Ortega E, Vendrell J, Chacón MR, Javier Chaves F, Soriguer F, and Rojo-Martínez G

Subjects
Adult, Aged, 80 and over, Male, Observer Variation, Adolescent, Thyrotropin, Middle Aged, Overweight, Thyroid Function Tests, Obesity, Morbid, Thyroxine, Young Adult, Cross-Sectional Studies, Hypothyroidism, Thinness, Reference Values, Spain, Prevalence, Humans, Triiodothyronine, Female, Aged, Autoantibodies
Abstract

Objective: To analyze the reference range of thyroid-stimulating hormone (TSH) in different BMI categories and its impact on the classification of hypothyroidism. Methods: The study included 3,928 individuals free of thyroid disease (without previous thyroid disease, no interfering medications, TSH < 10 mu UI/mL and thyroid peroxidase antibodies [TPO Abs] < 50 IU/mL) who participated in a national, cross-sectional, population-based study and were representative of the adult population of Spain. Data gathered included clinical and demographic characteristics, physical examination, and blood and urine sampling. TSH, free thyroxine, free triiodothyronine, and TPO Ab were analyzed by electrochemiluminescence (E170, Roche Diagnostics, Basel, Switzerland). Results: The reference range (p2.5-97.5) for TSH was estimated as 0.6 to 4.8 mu UI/mL in the underweight category (BMI= 40). By using the reference criteria for the normal-weight population, the prevalence of high TSH levels increased threefold in the morbid obesity category (P < 0.01). Conclusions: Persons with morbid obesity might be inappropriately classified if the standard ranges of normality of TSH for the normal-weight population are applied to them.

Published
2017

2. Incidence and trends of childhood Type 1 diabetes worldwide 1990–1999

Author

THE DIAMOND PROJECT GROUP, BESSAOUD K, BOUDRAA G, DE ROPOLO MM, DE SEREDAY M, MARTI ML, MOSER M, LAPERTOSA S, DAMIANO M, VERGE C, HOWARD N, SCHOBER E, JORDAN O, WEETS I, GORUS F, COECKELBERGHS M, ROOMAN R, VAN GAAL L, FRANCO LJ, FERREIRA SRG, LISBOA HPK, KURTZ LA, GRAEBIN R, KUTZKE L, RODRIGES C, SAVOVA R, CHRISTOV V, IOTOVA V, TZANEVA V, PACAUD D, TOTH E, TAN MH, CARRASCO E, PEREZ F, ZE Y, BO Y, CHEN S, FU L, DENG L, SHEN S, TENG K, WANG C, JIAN H, JU J, YAN C, DENG Y, LI C, ZHANG Y, LIU Y, LONG X, ZHEN Z, SUN Z, WANG B, WONG G, ORREGO OV, ASCHNER P, DIAZ DIAZ O, DE ACOSTA OM, CINEK O, VAVRINEC J, OLSEN BS, SVENDSEN AJ, KREUTZFELDT J, LUND E, TULL ES, SELMAN GEARA A, ALMONTE AS, PODAR T, TUOMILEHTO J, KARVONEN M, NOTKOLA IL, MOLTCHANOVA E, TASKINEN O, LEVY MARCHAL C, CZERNICHOW P, KOCAVA M, NEU A, EHEHALT S, ROSENBAUER J, GIANI G, ICKS A, BARTSOCAS C, VAZEOU A, SOLTESZ G, LARON Z, GORDON O, ALBAG Y, SHAMIS I, PURRELLO F, ARPI M, FICHERA G, MANCUSO M, LUCENTI C, CHIUMELLO G, BRUNO G, PAGANO G, SONGINI M, CASU A, MARINARO A, FRONGIA P, ZEDDA MA, MILIA A, TENCONI MT, POZZILLI P, VISALLI N, SEBASTIANI L, MARIETTI G, BUZZETTI R, CHERUBINI V, OKUNO A, HARADA S, MATSUURA N, MIKI E, MIYAMOTO S, SASAKI N, MIMURA G, SHALTOUT A, QABAZRD M, AL KHAWARI M, BRIGIS G, DZIVITE I, KADIKI O, URBONAITE B, DE BEAUFORT C, GAREEBOO H, RUEDA OA, REESER M, ELLIOTT R, SCOTT R, WILLIS J, DARLOW B, JONER G, RAFIQUE G, JAWAD F, JIMENEZ J, PALACIOS CM, CANETE F, VERA J, ALMIRON R, BENITEZ GE, ESPINOLA CS, SECLEN S, WOZNICKA D, SZYBINSKI Z, PLACZKIEWICZ E, JAROSZ CHOBOT P, MENEZES C, PINA EA, RUAS MMA, RODRIGUES FJC, ABREU S, IONESCU TIRGOVISTE C, SHUBNIKOV E, MICHALKOVA D, BARK L, HLAVA P, MIKULECKY M, KRZISNIK C, BATTELINO T, URSIC NB, KOTNIK P, KO KW, CASTELL C, GODAY A, MAGZOUB M, DAHLQUIST G, SCHOENLE E, NAGATI K, KHALIFA FB, BURDEN A, RAYMOND N, MILLWARD BA, ZHAO H, PATTERSON CC, CARSON D, HADDEN D, SMAIL P, MCSPORRAN B, WAUGH N, BINGLEY P, MCKINNEY PA, FELTBOWER RG, BODANSKY HJ, CAMPBELL F, LAPORTE RE, LIBMAN I, ROSEMAN J, RAHMAN SMA, DE LLADO TF, LIPTON R, JORGE AM, GUNCZLER P, LANES R., DEVOTI, Gabriele, THE DIAMOND PROJECT, Group, Bessaoud, K, Boudraa, G, DE ROPOLO, Mm, DE SEREDAY, M, Marti, Ml, Moser, M, Lapertosa, S, Damiano, M, Verge, C, Howard, N, Schober, E, Jordan, O, Weets, I, Gorus, F, Coeckelberghs, M, Rooman, R, VAN GAAL, L, Franco, Lj, Ferreira, Srg, Lisboa, Hpk, Kurtz, La, Graebin, R, Kutzke, L, Rodriges, C, Savova, R, Christov, V, Iotova, V, Tzaneva, V, Pacaud, D, Toth, E, Tan, Mh, Carrasco, E, Perez, F, Ze, Y, Bo, Y, Chen, S, Fu, L, Deng, L, Shen, S, Teng, K, Wang, C, Jian, H, Ju, J, Yan, C, Deng, Y, Li, C, Zhang, Y, Liu, Y, Long, X, Zhen, Z, Sun, Z, Wang, B, Wong, G, Orrego, Ov, Aschner, P, DIAZ DIAZ, O, DE ACOSTA, Om, Cinek, O, Vavrinec, J, Olsen, B, Svendsen, Aj, Kreutzfeldt, J, Lund, E, Tull, E, SELMAN GEARA, A, Almonte, A, Podar, T, Tuomilehto, J, Karvonen, M, Notkola, Il, Moltchanova, E, Taskinen, O, LEVY MARCHAL, C, Czernichow, P, Kocava, M, Neu, A, Ehehalt, S, Rosenbauer, J, Giani, G, Icks, A, Bartsocas, C, Vazeou, A, Soltesz, G, Laron, Z, Gordon, O, Albag, Y, Shamis, I, Purrello, F, Arpi, M, Fichera, G, Mancuso, M, Lucenti, C, Chiumello, G, Bruno, G, Pagano, G, Songini, M, Casu, A, Marinaro, A, Frongia, P, Zedda, Ma, Milia, A, Tenconi, Mt, Devoti, Gabriele, Pozzilli, P, Visalli, N, Sebastiani, L, Marietti, G, Buzzetti, R, Cherubini, V, Okuno, A, Harada, S, Matsuura, N, Miki, E, Miyamoto, S, Sasaki, N, Mimura, G, Shaltout, A, Qabazrd, M, AL KHAWARI, M, Brigis, G, Dzivite, I, Kadiki, O, Urbonaite, B, DE BEAUFORT, C, Gareeboo, H, Rueda, Oa, Reeser, M, Elliott, R, Scott, R, Willis, J, Darlow, B, Joner, G, Rafique, G, Jawad, F, Jimenez, J, Palacios, Cm, Canete, F, Vera, J, Almiron, R, Benitez, Ge, Espinola, C, Seclen, S, Woznicka, D, Szybinski, Z, Placzkiewicz, E, JAROSZ CHOBOT, P, Menezes, C, Pina, Ea, Ruas, Mma, Rodrigues, Fjc, Abreu, S, IONESCU TIRGOVISTE, C, Shubnikov, E, Michalkova, D, Bark, L, Hlava, P, Mikulecky, M, Krzisnik, C, Battelino, T, Ursic, Nb, Kotnik, P, Ko, Kw, Castell, C, Goday, A, Magzoub, M, Dahlquist, G, Schoenle, E, Nagati, K, Khalifa, Fb, Burden, A, Raymond, N, Millward, Ba, Zhao, H, Patterson, Cc, Carson, D, Hadden, D, Smail, P, Mcsporran, B, Waugh, N, Bingley, P, Mckinney, Pa, Feltbower, Rg, Bodansky, Hj, Campbell, F, Laporte, Re, Libman, I, Roseman, J, Rahman, Sma, DE LLADO, Tf, Lipton, R, Jorge, Am, Gunczler, P, and Lanes, R.

Subjects
Male, Adolescent, type 1 diabetes, Incidence, Endocrinology, Diabetes and Metabolism, Infant, Newborn, Infant, Global Health, World Health Organization, trend, Diabetes Mellitus, Type 1, Endocrinology, Child, Preschool, geographical distribution, incidence, Internal Medicine, Humans, epidemiology, Female, Child
Abstract

Aims. To examine incidence and trends of Type 1 diabetes worldwide for the period 1990–1999. Methods. The incidence of Type 1 diabetes (per 100000/year) was analysed in children aged ≤ 14 years from 114 populations in 112 centres in 57 countries. Trends in the incidence of Type 1 diabetes were analysed by fitting Poisson regression models to the dataset. Results. A total of 43013 cases were diagnosed in the study populations of 84 million children. The age-adjusted incidence of Type 1 diabetes among 112 centres (114 populations) varied from 0.1 per 100000/year in China and Venezuela to 40.9 per 100000/year in Finland. The average annual increase in incidence calculated from 103 centres was 2.8% (95% CI 2.4–3.2%). During the years 1990–1994, this increase was 2.4% (95% CI 1.3–3.4%) and during the second study period of 1995–1999 it was slightly higher at 3.4% (95% CI 2.7– 4.3%). The trends estimated for continents showed statistically significant increases all over the world (4.0% in Asia, 3.2% in Europe and 5.3% in North America), except in Central America and the West Indies where the trend was a decrease of 3.6%. Only among the European populations did the trend in incidence diminish with age. Conclusions. The rising incidence of Type 1 diabetes globally suggests the need for continuous monitoring of incidence by using standardized methods in order to plan or assess prevention strategies.

Published
2006

3. Seasonal variation in month of diagnosis in children with type 1 diabetes registered in 23 European centers during 1989-2008: little short-term influence of sunshine hours or average temperature

Author

Patterson, Cc, Gyürüs, E, Rosenbauer, J, Cinek, O, Neu, A, Schober, E, Parslow, Rc, Joner, G, Svensson, J, Castell, C, Bingley, Pj, Schoenle, E, Jarosz-Chobot, P, Urbonaité, B, Rothe, U, Kržišnik, C, Ionescu-Tirgoviste, C, Weets, I, Kocova, M, Stipancic, G, Samardzic, M, de Beaufort, Ce, Green, Anders, Soltész, G, Dahlquist, Gg, Pathology/molecular and cellular medicine, Clinical sciences, and Diabetes Pathology & Therapy

Subjects
Europe, Male, Diabetes Mellitus, Type 1, Adolescent, Child, Preschool, Photoperiod, Temperature, Humans, Infant, Female, Registries, Seasons, Child
Abstract

BACKGROUND: The month of diagnosis in childhood type 1 diabetes shows seasonal variation.OBJECTIVE: We describe the pattern and investigate if year-to-year irregularities are associated with meteorological factors using data from 50 000 children diagnosed under the age of 15 yr in 23 population-based European registries during 1989-2008.METHODS: Tests for seasonal variation in monthly counts aggregated over the 20 yr period were performed. Time series regression was used to investigate if sunshine hour and average temperature data were predictive of the 240 monthly diagnosis counts after taking account of seasonality and long term trends.RESULTS: Significant sinusoidal pattern was evident in all but two small centers with peaks in November to February and relative amplitudes ranging from ±11 to ±38% (median ±17%). However, most centers showed significant departures from a sinusoidal pattern. Pooling results over centers, there was significant seasonal variation in each age-group at diagnosis, with least seasonal variation in those under 5 yr. Boys showed greater seasonal variation than girls, particularly those aged 10-14 yr. There were no differences in seasonal pattern between four 5-yr sub-periods. Departures from the sinusoidal trend in monthly diagnoses in the period were significantly associated with deviations from the norm in average temperature (0.8% reduction in diagnoses per 1 °C excess) but not with sunshine hours.CONCLUSIONS: Seasonality was consistently apparent throughout the period in all age-groups and both sexes, but girls and the under 5 s showed less marked variation. Neither sunshine hour nor average temperature data contributed in any substantial way to explaining departures from the sinusoidal pattern.

Published
2014

4. The association between waist circumference and risk of mortality considering body mass index in 65-to 74-year-olds: a meta-analysis of 29 cohorts involving more than 58 000 elderly persons

Author

de Hollander, Ellen L, Bemelmans, Wanda JE, Boshuizen, Hendriek C, Friedrich, Nele, Wallaschofski, Henri, Guallar-Castillón, Pilar, Walter, Stefan, Zillikens, M Carola, Rosengren, Annika, Lissner, Lauren, Bassett, Julie K, Giles, Graham G, Orsini, Nicola, Heim, Noor, Visser, Marjolein, de Groot, Lisette CPGM, Rosengren, A., Sundh, V., Blair, S., Lee, D.C., Sui, X., Woodward, M., Welborn, T., Dhaliwal, S., Wannamethee, G., Roure, E., Castell, C., Biggs, M.L., Wolk, A., Orsini, N., Ducimetiere, P., Verschuren, M., Kaprio, J., Menotti, A., Lee, I.M., Sesso, H., Knekt, P., Sääksjärvi, K., Dekker, J., Nijpels, G., Stehouwer, C., Bandinelli, S., Corsi, A.M., Lauretani, F., Visser, M., Heim, N., Seeman, T., Ishii, S., Giles, G., Bassett, J., Spiro, A., Phillips, C., Blazer, D., Lind, L., Zillikens, M.C., Uitterlinden, A., Hofman, A., Walter, S., Tiemeier, H., de Groot, L., Wallaschofski, H., Friedrich, N., Baumeister, S., Guallar-Castillón, P., Rodríguez-Artalejo, F., Lissner, L., Skoog, I., Tunstall-Pedoe, H., Shipley, M., Kivimäki, M., Interne Geneeskunde, RS: CARIM School for Cardiovascular Diseases, Nutrition and Health, EMGO+ - Lifestyle, Overweight and Diabetes, Epidemiology and Data Science, EMGO - Lifestyle, overweight and diabetes, Epidemiology, Internal Medicine, and Child and Adolescent Psychiatry / Psychology

Subjects
Gerontology, Male, Nutrition and Disease, Epidemiology, Respiratory Tract Diseases, cardiovascular-disease, middle-aged men, Overweight, adipose-tissue, Wiskundige en Statistische Methoden - Biometris, Body Mass Index, older-people, Microbiologie, Voeding en Ziekte, Neoplasms, Risk of mortality, follow-up, health outcomes, Non-U.S. Gov't, Abdominal obesity, Human Nutrition & Health, cardiorespiratory fitness, Research Support, Non-U.S. Gov't, Humane Voeding & Gezondheid, General Medicine, PE&RC, Cardiovascular Diseases, all-cause mortality, Waist circumference, Female, medicine.symptom, Waist Circumference, Waist, body mass index, Research Support, Microbiology, Risk Assessment, elderly, abdominal obesity, SDG 3 - Good Health and Well-being, medicine, Journal Article, Humans, Obesity, Mortality, Mathematical and Statistical Methods - Biometris, VLAG, Aged, Global Nutrition, Wereldvoeding, business.industry, Body Weight, Anthropometry, mortality, Confidence interval, Relative risk, business, coronary-heart-disease, Body mass index, Demography, Meta-Analysis
Abstract

BACKGROUND: For the elderly, the association between waist circumference (WC) and mortality considering body mass index (BMI) remains unclear, and thereby also the evidence base for using these anthropometric measures in clinical practice. This meta-analysis examined the association between WC categories and (cause-specific) mortality within BMI categories. Furthermore, the association of continuous WC with lowest and increased mortality risks was examined.METHODS: Age- and smoking-adjusted relative risks (RRs) of mortality associated with WC-BMI categories and continuous WC (including WC and WC(2)) were calculated by the investigators and pooled by means of random-effects models.RESULTS: During a 5-year-follow-up of 32 678 men and 25 931 women, we ascertained 3318 and 1480 deaths, respectively. A large WC (men: ≥102 cm, women: ≥88 cm) was associated with increased all-cause mortality RRs for those in the 'healthy' weight {1.7 [95% confidence interval (CI): 1.2-2.2], 1.7 (95% CI: 1.3-2.3)}, overweight [1.1(95% CI: 1.0-1.3), 1.4 (95%: 1.1-1.7)] and obese [1.1 (95% CI: 1.0-1.3), 1.6 (95% CI: 1.3-1.9)] BMI category compared with the 'healthy' weight (20-24.9 kg/m(2)) and a small WC (CONCLUSIONS: Our results showed increased mortality risks for elderly people with an increased WC-even across BMI categories- and for those who were classified as 'underweight' using BMI. The results provide a solid basis for re-evaluation of WC cut-points in ageing populations.

Published
2012

5. [Analysis of the geographic distribution of the incidence of diabetes mellitus type I in Catalonia]

Author

Goday A, Castell C, Tresserras R, and Lloveras G

Subjects
Adult, Male, Diabetes Mellitus, Type 1, Adolescent, Spain, Child, Preschool, Incidence, Humans, Infant, Female, Poisson Distribution, Child, Demography
Abstract

The aim of the present study was to evaluate the geographic distribution of the incidence of diabetes mellitus type I (DMI) in Catalonia from 1987-1990.The base of the study is the Catalonian registry of incidence of DMI in the period from 1987-1990. The definition criteria were: diagnostic criteria of diabetes (WHO norms 1985), age of diagnosis under 30 years, residence in Catalonia in the period of diagnosis and exclusion of other types of diabetes. The population at risk was estimated according to the general census of the population of 1986. The total incidence of Catalonia was calculated by provinces and counties according to the Poisson distribution.The incidence of DMI observed in Catalonia was of 11.5/100,000 inhabitants per year (CI 95%, 10.6-12.4) in the age group from 0-14 years and 10.7/100,000 inhabitants per year (CI 95% 10.1-11.3) in the age group from 0-29 years. The exhaustivity in the detection of the cases was of 90.3%. No differences were found in interprovincial incidence in the 0-14 age group: Barcelona 11.6 (10.6-12.7), Girona 10.2 (7.2-13.4), Lleida 11.7 (7.7-15.8), Tarragona 10.5 (7.6-13.5). In the 15-29 age group a lower incidence was observed in Tarragona. The incidence by counties varied between 2.9 and 15.0/100,000 inhabitants per year with those of greatest incidence being observed in the Vallés Oriental (15.0/100,000 inhabitants/years), Alt Penedés (14.5/100,000 inhabitants/year), Segrià (15.0/100,000 inhabitants/year) and the Priorat (13.7/100,000 inhabitants/year).No differences were found in the incidence of diabetes mellitus type I in the four Catalonian provinces. Distribution by counties was more heterogeneous without defining zones with a much higher incidence to that observed in the whole of Catalonia.

Published
1993

7. [Prevalence of nephropathy in type I diabetes]

Author

Esmatjes E, Castell C, Goday A, Eduard Montanya, Jm, Pou, Salinas I, Simó R, Mt, González, Tresserras R, and Lloveras G

Subjects
Adult, Male, Diabetes Mellitus, Type 1, Logistic Models, Risk Factors, Spain, Prevalence, Humans, Diabetic Nephropathies, Female
Abstract

Diabetic nephropathy is a serious complication of diabetes, of which there are few epidemiological data in Spain. The aim of this study is to determine diabetic nephropathy prevalence in a group of patients with type I diabetes mellitus, representative of the population of Barcelona, Spain, evaluating several risk factors related with its development.639 patients (296 males and 343 women), from 6 hospitals, selected according with the diabetes duration (194 between 5 and 9 years [group I], 227 between 10 and 19 years [group II] and 218 with 20 years or more [group III]) were studied. In all patients urinary albumin excretion and plasma levels of creatinine, HbA1c, cholesterol and triglycerides were determined. The presence of retinopathy, neuropathy, vasculopathy and tobacco consumption were also evaluated.The prevalence of diabetic nephropathy increased with longer diabetes duration (8.1% [CI: 4.3-11.9] in group I, 24.7% [CI: 19.1-30.3] in group II and 44.7% [CI: 38.1-51.3] in group III), as well as that of hypertension, diabetes complications, cholesterol and triglycerides plasma levels. Related to people with normal renal function, after logistic regression, microalbuminuria was associated with hypertension and longer diabetes duration. Clinical nephropathy (macroalbuminuria + renal failure) to hypertension, longer duration, hypertriglyceridemia, male sex and tobacco consumption.The prevalence of diabetic nephropathy in Barcelona area is high and similar to that observed in other european regions. Its existence is associated with other diabetic complications. In addition to the classic risk factors, tobacco consumption must also be considered as a factor for diabetic nephropathy.

8. [Nutritional and food counseling]

Author

Lluis Serra-Majem, Ribas L, Castell C, Arija V, Lloveras G, and Salleras L

Subjects
Counseling, Primary Health Care, Nutritional Sciences, Risk Factors, Preventive Health Services, Humans, Feeding Behavior, Dietary Services, Diet

9. [Physical exercise and disease (and II)]

Author

Roure E, Esteve Saltó, Serra L, Vallbona C, Castell C, Guayta R, Treserras R, Jl, Taberner, and Salleras L

Subjects
Humans, Preventive Medicine, Exercise

10. Low physical activity and its association with diabetes and other cardiovascular risk factors: a nationwide, population-based study

Author

Sonia Gaztambide, Edelmiro Menéndez, Gemma Pascual-Manich, Federico Soriguer, Anna Bosch-Comas, Rafael Carmena, Ramon Gomis, Inmaculada Mora-Peces, Albert Goday, Miguel Catalá, Laura Brugnara, María Teresa Martínez-Larrad, Anna Novials, Joan Vendrell, Emilio Ortega, Josep Franch, Alfonso L. Calle-Pascual, Serafín Murillo, Juan Girbés, Roser Casamitjana, Alfonso López-Alba, Manuel Serrano-Ríos, Elena Bordiú, Gemma Rojo-Martínez, Luis Castaño, Sergio Valdés, Elías Delgado, Conxa Castell, Universitat de Barcelona, [Brugnara,L, Murillo,S, Novials,A, Rojo-Martínez,G, Soriguer,F, Castaño,L, Gaztambide,S, Valdés,S, Vendrell,J, Casamitjana,R, Boch-Comas,A, Carmena,R, Catalá,M, Martínez-Larrad,MT, Pascual-Manich,G, Serrano-Rios,M, Gomis,R] CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain. [Brugnara,L, Bosch-Comas,A, Gomis,R] IDIBAPS—August Pi i Sunyer Biomedical Research Institute / Hospital Clínic de Barcelona, Barcelona, Spain. [Rojo-Martínez,G, Valdés,S] Hospital Universitario Carlos Haya, Department of Endocrinology and Nutrition, Málaga, Spain. [Goday,A] Hospital del Mar, Department of Endocrinology and Nutrition, Barcelona, Spain. [Calle-Pascual,A, Bordiú,E] Hospital Universitario San Carlos, Madrid, Spain. [Gaztambide,S] Hospital Universitario de Cruces, UPV-EHU, Diabetes Research Group, Baracaldo, Spain. [Franch,J] EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, IDIAP, Barcelona, Spain. [Castell,C] Public Health Division, Autonomous Government of Catalonia, Barcelona, Spain. [Vendrell,J] Department of Endocrinology and Nutrition, Hospital Universitario Joan XXIII, Tarragona, Spain. [Carmena,R, Catalá,M] Department of Medicine and Endocrinology, Hospital Clínico Universitario de Valencia, Valencia, Spain. [Delgado,E, Menéndez,E] Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias, Facultad de Medicina y Ciencias de la Salud, Universidad de Oviedo, Oviedo, Spain. [Gilbés,J] Hospital Arnau de Vilanova, Valencia, Spain. [López-Alba,A] Fundación Hospital de Jove, Gijón, Spain. [Serrano-Ríos,M] Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain. [Mora-Peces,I] Canarian Health Service, San Cristóbal de la Laguna, Tenerife, Spain. [Martínez-Larraz,MT, Ortega,E] CIBEROBN - Spanish Biomedical Research Centre in Physiopathology of Obesity. [Ortega,E] Department of Endocrinology and Nutrition, ICMDM, Hospital Clinic Barcelona., This work was supported by the Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM, ISCIII Ministerio de Ciencia e Innovación), Ministerio de Sanidad y Consumo and the Spanish Diabetes Society (SED)., [Brugnara, Laura] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Murillo, Serafin] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Novials, Anna] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Rojo-Martinez, Gemma] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Soriguer, Federico] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Castano, Luis] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Gaztambide, Sonia] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Valdes, Sergio] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Vendrell, Joan] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Casamitjana, Roser] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Bosch-Comas, Anna] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Carmena, Rafael] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Catala, Miguel] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Teresa Martinez-Larrad, Maria] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Pascual-Manich, Gemma] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Serrano-Rios, Manuel] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Gomis, Ramon] CIBERDEM Spanish Biomed Res Ctr Diabet & Associat, Madrid, Spain, [Brugnara, Laura] Hosp Clin Barcelona, IDIBAPS August Pi & Sunyer Biomed Res Inst, Barcelona, Spain, [Murillo, Serafin] Hosp Clin Barcelona, IDIBAPS August Pi & Sunyer Biomed Res Inst, Barcelona, Spain, [Novials, Anna] Hosp Clin Barcelona, IDIBAPS August Pi & Sunyer Biomed Res Inst, Barcelona, Spain, [Casamitjana, Roser] Hosp Clin Barcelona, IDIBAPS August Pi & Sunyer Biomed Res Inst, Barcelona, Spain, [Bosch-Comas, Anna] Hosp Clin Barcelona, IDIBAPS August Pi & Sunyer Biomed Res Inst, Barcelona, Spain, [Pascual-Manich, Gemma] Hosp Clin Barcelona, IDIBAPS August Pi & Sunyer Biomed Res Inst, Barcelona, Spain, [Gomis, Ramon] Hosp Clin Barcelona, IDIBAPS August Pi & Sunyer Biomed Res Inst, Barcelona, Spain, [Rojo-Martinez, Gemma] Hosp Univ Carlos Haya, Dept Endocrinol & Nutr, Malaga, Spain, [Soriguer, Federico] Hosp Univ Carlos Haya, Dept Endocrinol & Nutr, Malaga, Spain, [Valdes, Sergio] Hosp Univ Carlos Haya, Dept Endocrinol & Nutr, Malaga, Spain, [Goday, Albert] Hosp Mar, Dept Endocrinol & Nutr, Barcelona, Spain, [Calle-Pascual, Alfonso] Hosp Univ San Carlos, Madrid, Spain, [Bordiu, Elena] Hosp Univ San Carlos, Madrid, Spain, [Castano, Luis] Univ Basque Country, Hosp Univ Cruces, Diabet Res Grp, Baracaldo, Spain, [Gaztambide, Sonia] Univ Basque Country, Hosp Univ Cruces, Diabet Res Grp, Baracaldo, Spain, [Franch, Josep] IDIAP, Red GEDAPS, Inst Catala Salut, EAP Raval Sud, Barcelona, Spain, [Castell, Conxa] Autonomous Govt Catalonia, Publ Hlth Div, Barcelona, Spain, [Vendrell, Joan] Hosp Univ Joan XXIII, Dept Endocrinol & Nutr, Tarragona, Spain, [Carmena, Rafael] Hosp Clin Univ Valencia, Dept Med & Endocrinol, Valencia, Spain, [Catala, Miguel] Hosp Clin Univ Valencia, Dept Med & Endocrinol, Valencia, Spain, [Delgado, Elias] Univ Oviedo, Hosp Univ Cent Asturias, Fac Med & Ciencias Salud, Dept Endocrinol & Nutr, Oviedo, Spain, [Menendez, Edelmiro] Univ Oviedo, Hosp Univ Cent Asturias, Fac Med & Ciencias Salud, Dept Endocrinol & Nutr, Oviedo, Spain, [Girbes, Juan] Hosp Arnau Vilanova, Valencia, Spain, [Lopez-Alba, Alfonso] Fdn Hosp Jove, Gijon, Spain, [Serrano-Rios, Manuel] Hosp Clin San Carlos IdISSC, Inst Invest Sanitaria, Madrid, Spain, [Mora-Peces, Inmaculada] Canarian Hlth Serv, Tenerife, Spain, [Teresa Martinez-Larrad, Maria] CIBEROBN Spanish Biomed Res Ctr Physiopathol Obes, Pamplona, Spain, [Ortega, Emilio] CIBEROBN Spanish Biomed Res Ctr Physiopathol Obes, Pamplona, Spain, [Ortega, Emilio] Hosp Clin Barcelona, ICMDM, Dept Endocrinol & Nutr, Barcelona, Spain, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM, ISCIII Ministerio de Ciencia e Innovacion), Ministerio de Sanidad y Consumo, and Spanish Diabetes Society (SED)

Subjects
Questionnaires, Male, Dislipidemias, Cross-sectional study, Estudios transversales, España, Obesidad, Índice de masa corporal, Biochemistry, Body Mass Index, 0302 clinical medicine, Endocrinology, Phenomena and Processes::Musculoskeletal and Neural Physiological Phenomena::Musculoskeletal Physiological Phenomena::Musculoskeletal Physiological Processes::Movement::Motor Activity [Medical Subject Headings], Public and Occupational Health, lcsh:Science, Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet::Diet, Mediterranean [Medical Subject Headings], Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Morbidity::Prevalence [Medical Subject Headings], Chemicals and Drugs::Lipids::Glycerides::Triglycerides [Medical Subject Headings], Geographicals::Geographic Locations::Europe::Spain [Medical Subject Headings], Aged, 80 and over, Diabetis, Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Lipid Metabolism Disorders::Dyslipidemias [Medical Subject Headings], Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Weights and Measures::Body Size::Body Weight::Overweight::Obesity::Obesity, Abdominal [Medical Subject Headings], Cardiovascular Diseases, Obesitat, Enfermedades cardiovasculares, Factores de riesgo, medicine.medical_specialty, Endocrine Disorders, Chemicals and Drugs::Lipids::Lipoproteins::Lipoproteins, HDL::Cholesterol, HDL [Medical Subject Headings], Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Habits::Smoking [Medical Subject Headings], Qüestionaris, Triglicéridos, Exercici -- Aspectes sanitaris, 03 medical and health sciences, Diabetes Mellitus, Humans, Diseases::Cardiovascular Diseases [Medical Subject Headings], Exercise, Aged, Survey Research, Malalties cardiovasculars, Prevention, lcsh:R, Enfermedad crónica, Biology and Life Sciences, Physical Activity, Insulin-resistance, medicine.disease, Actividad motora, Obesity, Lipid metabolism, Cross-Sectional Studies, Dyslipidemia, Adherence, Glucosa, lcsh:Q, Body mass index, Demography, Psychiatry and Psychology::Behavior and Behavior Mechanisms::Psychology, Social::Life Style::Sedentary Lifestyle [Medical Subject Headings], Physiology, Physical fitness, Sistema cardiovascular -- Malalties, Chemicals and Drugs::Carbohydrates::Monosaccharides::Hexoses::Glucose [Medical Subject Headings], lcsh:Medicine, Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Weights and Measures::Body Size::Body Weight::Overweight::Obesity [Medical Subject Headings], Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings], Obesidad abdominal, Geographical Locations, Glucose Metabolism, Risk Factors, Hábito de fumar, Medicine and Health Sciences, Prevalence, 030212 general & internal medicine, Prediabetes, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Surveys and Questionnaires [Medical Subject Headings], Multidisciplinary, Diseases::Pathological Conditions, Signs and Symptoms::Pathologic Processes::Disease Attributes::Chronic Disease [Medical Subject Headings], Diabetes, Middle Aged, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cross-Sectional Studies [Medical Subject Headings], Europe, Encuestas y cuestionarios, Physiological Parameters, Research Design, Carbohydrate Metabolism, Female, Research Article, Adult, Adolescent, 030209 endocrinology & metabolism, Vida sedentaria, Research and Analysis Methods, HDL-colesterol, Young Adult, Sex Factors, Diabetes mellitus, medicine, Adults, Espanya, Diseases::Endocrine System Diseases::Diabetes Mellitus::Prediabetic State [Medical Subject Headings], Sedentary lifestyle, business.industry, Estado prediabético, Body Weight, Dieta mediterránea, Metabolisme dels lípids, Diet, Metabolism, Spain, Metabolic Disorders, People and Places, Physical therapy, Sedentary Behavior, business, Prevalencia, Condició física
Abstract

Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM; ISCIII Ministerio de Ciencia e Innovacion); Ministerio de Sanidad y Consumo; Spanish Diabetes Society (SED), Brugnara, L., Murillo, S., Novials, A., Rojo-Martínez, G., Soriguer, F., Goday, A., Calle-Pascual, A., Castaño, L., Gaztambide, S., Valdés, S., Franch, J., Castell, C., Vendrell, J., Casamitjana, R., Bosch-Comas, A., Bordiú, E., Carmena, R., Catalá, M., Delgado, E., Girbés, J., López-Alba, A., Martínez-Larrad, M.T., Menéndez, E., Mora-Peces, I., Pascual-Manich, G., Serrano-Ríos, M., Gomis, R., Ortega, E.

Published
2016

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