Metabolic syndrome in the 1982 Pelotas cohort: Effect of contemporary lifestyle and socioeconomic status;Síndrome metabólica na coorte de 1982 da cidade de Pelotas: Efeito do estilo de vida contemporâneo e situação socioeconômica

Arquivos Brasileiros de Endocrinologia e Metabologia

Volumn 54, Issue 4, 2010, Pages 390-397

  da Silveira, Vera Maria Freitas ^a   Horta, Bernardo L ^a   Gigante, Denise P ^a   Azevedo Junior, Mario Renato ^a  

^a FEDERAL UNIVERSITY OF PELOTAS   (Brazil)

Author keywords

Birth cohort; Metabolic syndrome; Risk factors

Indexed keywords

EID: 77956438556     PISSN: 00042730     EISSN: 16779487     Source Type: Journal    
DOI: 10.1590/s0004-27302010000400008     Document Type: Article

References (36)

1. Eckel RH, Grundy SM, Zimmet PZ. The metabolic syndrome. Lancet. 2005;365:1415-28.
2. Boney CM, Verma A, Tucker R, Vohr BR. Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus. Pediatrics. 2005;115:e290-6.
3. Alvarez MM, Vieira AC, Moura AS, da Veiga GV. Insulin resistance in Brazilian adolescent girls: association with overweight and metabolic disorders. Diabetes Res Clin Pract. 2006;74:183-8.
4. Barbieri MA, Bettiol H, Silva AA, Cardoso VC, Simoes VM, Gutierrez MR, et al. Health in early adulthood: the contribution of the 1978/79 Ribeirao Preto birth cohort. Braz J Med Biol Res. 2006;39:1041-55.
5. Brunner EJ, Marmot MG, Nanchahal K, Shipley MJ, Stansfeld SA, Juneja M, et al. Social inequality in coronary risk: central obesity and the metabolic syndrome. Evidence from the Whitehall II study. Diabetologia. 1997;40:1341-9.
6. Hidvegi T, Hetyesi K, Biro L, Jermendy G. Education level and clustering of clinical characteristics of metabolic syndrome. Diabetes Care. 2001;24:2013-5.
7. Rosmond R, Bjorntorp P. Occupational status, cortisol secretory pattern, and visceral obesity in middle-aged men. Obes Res. 2000;8:445-50.
8. Park YW, Zhu S, Palaniappan L, Heshka S, Carnethon MR, Heymsfield SB. The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988-1994. Arch Intern Med. 2003;163:427-36.
9. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001;285:2486-97.
10. Alberti KG, Zimmet P, Shaw J. The metabolic syndrome - a new worldwide definition. Lancet. 2005;366:1059-62.
11. Barros FC, Victora CG, Horta BL, Gigante DP. [Methodology of the Pelotas birth cohort study from 1982 to 2004-5, Southern Brazil]. Rev Saude Publica. 2008;42 Suppl 2:7-15.
12. Somannavar S, Ganesan A, Deepa M, Datta M, Mohan V. Random capillary blood glucose cut points for diabetes and pre-diabetes derived from community-based opportunistic screening in India. Diabetes Care. 2009;32:641-3.
13. Screening for Type 2 Diabetes - Report of a World Health Organization and International Diabetes Federation meeting. 2003.
14. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser. 1995;854:1-452.
15. Thompson FE, Byers T. Dietary assessment resource manual. J Nutr. 1994;124:2245S-317S.
16. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381-95.
17. Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, et al. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007;39:1423-34.
18. Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3:21.
19. Victora CG, Barros FC. Cohort profile: the 1982 Pelotas (Brazil) birth cohort study. Int J Epidemiol. 2006;35:237-42.
20. Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287:356-9.
21. Bustos P, Amigo H, Arteaga A, Acosta AM, Rona RJ. [Risk factors of cardiovascular disease among young adults]. Rev Med Chil. 2003;131:973-80.
22. Florez H, Silva E, Fernandez V, Ryder E, Sulbaran T, Campos G, et al. Prevalence and risk factors associated with the metabolic syndrome and dyslipidemia in White, Black, Amerindian and Mixed Hispanics in Zulia State, Venezuela. Diabetes Res Clin Pract. 2005;69:63-77.
23. Langenberg C, Kuh D, Wadsworth ME, Brunner E, Hardy R. Social circumstances and education: life course origins of social inequalities in metabolic risk in a prospective national birth cohort. Am J Public Health. 2006;96:2216-21.
24. Silventoinen K, Pankow J, Jousilahti P, Hu G, Tuomilehto J. Educational inequalities in the metabolic syndrome and coronary heart disease among middle-aged men and women. Int J Epidemiol. 2005;34:327-34.
25. Loucks EB, Magnusson KT, Cook S, Rehkopf DH, Ford ES, Berkman LF. Socioeconomic position and the metabolic syndrome in early, middle, and late life: evidence from NHANES 1999-2002. Ann Epidemiol. 2007;17:782-90.
26. Salaroli LB, Barbosa GC, Mill JG, Molina MC. [Prevalence of metabolic syndrome in population-based study, Vitoria, ES-Brazil]. Arq Bras Endocrinol Metabol. 2007;51:1143-52.
27. Castanheira M, Olinto MT, Gigante DP. [Socio-demographic and lifestyle factors associated with abdominal fat distribution in adults: a population-based survey in Southern Brazil]. Cad Saude Publica. 2003;19 Suppl 1:S55-65.
28. McKeown NM, Meigs JB, Liu S, Saltzman E, Wilson PW, Jacques PF. Carbohydrate nutrition, insulin resistance, and the prevalence of the metabolic syndrome in the Framingham Offspring Cohort. Diabetes Care. 2004;27:538-46.
29. Lee WY, Jung CH, Park JS, Rhee EJ, Kim SW. Effects of smoking, alcohol, exercise, education, and family history on the metabolic syndrome as defined by the ATP III. Diabetes Res Clin Pract. 2005; 67:70-7.
30. Djousse L, Arnett DK, Eckfeldt JH, Province MA, Singer MR, Ellison RC. Alcohol consumption and metabolic syndrome: does the type of beverage matter? Obes Res. 2004;12:1375-85.
31. Steemburgo T, Dall'Alba V, Gross JL, Azevedo MJ. [Dietary factors and metabolic syndrome]. Arq Bras Endocrinol Metabol. 2007; 51:1425-33.
32. Fernandez ML. The metabolic syndrome. Nutr Rev. 2007;65:S30-4.
33. Meigs JB. Epidemiology of the metabolic syndrome, 2002. Am J Manag Care. 2002;8:S283-92; quiz S93-6.
34. Srinivasan SR, Myers L, Berenson GS. Predictability of childhood adiposity and insulin for developing insulin resistance syndrome (syndrome X) in young adulthood: the Bogalusa Heart Study. Diabetes. 2002;51:204-9.
35. Haffner SM, Despres J-P, Balkau B, et al. Waist circumference and body mass index are both independently associated with cardiovascular disease: The International Day for the Evaluation of Abdominal Obesity (IDEA) survey. J Am Coll Cardiol. 2006;47(4 suppl A):358A.
36. Baker JL, Olsen LW, Sorensen TI. Childhood body-mass index and the risk of coronary heart disease in adulthood. N Engl J Med. 2007;357:2329-37.