Brazilian Longitudinal Study of Adult health (ELSA-Brasil): Objectives and design

American Journal of Epidemiology

Volumn 175, Issue 4, 2012, Pages 315-324

  Aquino, Estela M L ^a   Barreto, Sandhi Maria ^b   Bensenor, Isabela M ^d   Carvalho, Marilia S ^c   Chor, Dóra ^c   Duncan, Bruce B ^f   Lotufo, Paulo A ^d   Mill, José Geraldo ^e   Molina, Maria Del Carmen ^e   Mota, Eduardo L A ^a   Passos, Valéria Maria Azeredo ^b   Schmidt, Maria Inês ^f   Szklo, Moyses ^g  

^a FEDERAL UNIVERSITY OF BAHIA   (Brazil)

^b FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^c INSTITUTO OSWALDO CRUZ   (Brazil)

^d UNIVERSITY OF SÃO PAULO   (Brazil)

^e FEDERAL UNIVERSITY OF ESPÍRITO SANTO   (Brazil)

^f FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^g JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

cardiovascular diseases; chronic disease; cohort studies; developing countries; diabetes mellitus; epidemiologic methods; longitudinal studies; occupational health

Indexed keywords

ADULT; CARDIOVASCULAR DISEASE; DEMOGRAPHY; DESIGN; DIABETES; DISEASE PREVALENCE; EPIDEMIOLOGY; GLUCOSE; HEALTH RISK; INFECTIVITY; OCCUPATIONAL EXPOSURE; PHOTOGRAPHY; TOLERANCE; VELOCITY;

ADULT; AGED; ANKLE BRACHIAL INDEX; ANTHROPOMETRY; ARTERIAL WALL THICKNESS; ARTICLE; BLOOD PRESSURE MEASUREMENT; BRAZIL; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CHRONIC DISEASE; CLINICAL EXAMINATION; COHORT ANALYSIS; DIABETES MELLITUS; ECHOCARDIOGRAPHY; ECHOGRAPHY; ELECTROCARDIOGRAM; EYE FUNDUS; EYE PHOTOGRAPHY; FEMALE; FOLLOW UP; GLYCEMIC INDEX; HEART RATE VARIABILITY; HUMAN; INTERVIEW; LIVER; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MEDICAL ETHICS; METHODOLOGY; NONALCOHOLIC FATTY LIVER; OBESITY; ORAL GLUCOSE TOLERANCE TEST; ORTHOSTATIC HYPOTENSION; PREDICTIVE VALUE; PULSE WAVE; TELECONSULTATION; TRANSTHORACIC ECHOCARDIOGRAPHY; UNIVERSITY; URINALYSIS;

ADULT; AGED; BRAZIL; CARDIOVASCULAR DISEASES; CHRONIC DISEASE; DEVELOPING COUNTRIES; DIABETES MELLITUS; EPIDEMIOLOGIC RESEARCH DESIGN; FEMALE; HUMANS; INCIDENCE; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; OBESITY; PATIENT SELECTION; POPULATION SURVEILLANCE; RISK; SAMPLE SIZE;

BRAZIL;

EID: 84856727839     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwr294     Document Type: Article

References (53)

1. World Health Organization. 2008-2013 Action Plan for the Global Strategy for the Prevention and Control of Non-Communicable Diseases. Geneva, Switerland: World Health Organization; 2009.
2. World Health Organization. Preventing Chronic Diseases: a Vital Investment. WHO Global Report. Geneva, Switerland: World Health Organization; 2005.
3. Wong LLR, Perpétuo IHO. Uma visão transversal e longitudinal de quatro décadas de queda de fecundidade no Brasil. In: Pesquisa Nacional de Demografia e Saúde da Criancxa e da Mulher-PNDS 2006: Dimensões do Processo Reprodutivo e da Saúde da Criancxa. Brasília, Brazil: Ministério da Saúde, Brasil; 2009:71-86.
4. Instituto Brasileiro de Geografia e Estatística. Indicadores Sociodemográficos e de Saúde no Brasil 2009. 1st ed. Rio de Janeiro, Brazil: Instituto Brasileiro de Geografia e Estatística; 2009.
5. Ministério da Saúde, Brasil. Doencxas Crônicas não Transmiss? ́veis: Mortalidade e Fatores de Risco no Brasil, 1990 a 2006. Brasília, Brazil: Ministério da Saúde; 2009:337-364.
6. Monteiro CA, Mondini L, Souza ALM, et al. Da desnutricxão para a obesidade: a transicxão nutricional no Brasil. In: Monteiro CA, ed. Velhos e Novos Males da Saúde no Brasil: a Evolucxão do País e Suas Doencxas. 2nd ed. Sao Paulo, Brazil: Hucitec, Nupens/USP; 2000.
7. López-Calva LF, Lustig N, eds. Declining Inequality in Latin America: A Decade of Progress? Baltimore, MD: Brookings Institution Press; 2010.
8. SzkloM. Population-based cohort studies. Epidemiol Rev. 1998; 20(1):81-90. (Pubitemid 28449755)
9. Schmidt MI, Duncan BB, Sharrett AR, et al. Markers of inflammation and prediction of diabetes mellitus in adults (Atherosclerosis Risk in Communities Study): a cohort study. Lancet. 1999;353(9165):1649-1652. (Pubitemid 29224520)
10. Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orcxamentos Familiares 2008-2009. Antropometria e Estado Nutricional de Criancxas, Adolescentes e Adultos no Brasil. Rio de Janeiro, Brazil: Instituto Brasileiro de Geografia e Estatística; 2010.
11. Lewis G, Pelosi AJ, Araya R, et al. Measuring psychiatric disorder in the community: a standardized assessment for use by lay interviewers. Psychol Med. 1992;22(2):465-486.
12. Botega NJ, Pereira WA, Bio MR, et al. Psychiatric morbidity among medical in-patients: a standardized assessment (GHQ-12 and CIS-R) using 'lay' interviewers in a Brazilian hospital. Soc Psychiatry Psychiatr Epidemiol. 1995;30(3):127-131.
13. Tostes MA, Chalub M, Botega NJ. The quality of life of HIVinfected women is associated with psychiatric morbidity. AIDS Care. 2004;16(2):177-186. (Pubitemid 38183581)
14. Faisal-Cury A, Menezes P, Araya R, et al. Common mental disorders during pregnancy: prevalence and associated factors among low-income women in São Paulo, Brazil: depression and anxiety during pregnancy. Arch Womens Ment Health. 2009;12(5):335-343.
15. Bertolucci PHF, Okamoto IH, Toniolo-Neto J, et al. Desempenho da populacxão brasileira na bateria neuropsicológica do Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Rev Psiquiatr Clín. 1998;25(2):80-83.
16. Elovainio M, Kivimäki M, Ferrie JE, et al. Physical and cognitive function in midlife: reciprocal effects? A 5-year follow-up of theWhitehall II study. J Epidemiol Community Health. 2009; 63(6):468-473.
17. Lezak MD, Howieson DB, Loring DW. Neuropsychological Assessment. 4th ed. New York, NY: Oxford University Press; 2004.
18. Centers for Disease Control and Prevention, US Department of Health and Human Services. National Health and Nutrition Examination Survey (NHANES): Anthropometry Procedures Manual. Atlanta, GA: Centers for Disease Control and Prevention; 2004.
19. McDermottMM, CriquiMH, Liu K, et al. Lower ankle/brachial index, as calculated by averaging the dorsalis pedis and posterior tibial arterial pressures, and association with leg functioning in peripheral arterial disease. J Vasc Surg. 2000;32(6):1164-1171.
20. Prineas RJ, Crow RS, Blackburn H. The Minnesota Code Manual of Electrocardiographic Findings: Standards and Procedures for Measurement and Classification. Boston, MA: John Wright; 1982.
21. Gottdiener JS, Bednarz J, Devereux R, et al. American Society of Echocardiography recommendations for use of echocardiography in clinical trials. J Am Soc Echocardiogr. 2004;17(10): 1086-1119.
22. Iacobellis G, Willens HJ. Echocardiographic epicardial fat: a review of research and clinical applications. J Am Soc Echocardiogr. 2009;22(12):1311- 1319; quiz 1417-1418.
23. Asmar R, Benetos A, Topouchian J, et al. Assessment of arterial distensibility by automatic pulse wave velocity measurement. Validation and clinical application studies. Hypertension. 1995; 26(3):485-490.
24. Bild DE, Bluemke DA, Burke GL, et al. Multi-Ethnic Study of Atherosclerosis: objectives and design. Am J Epidemiol. 2002; 156(9):871-881. (Pubitemid 35215769)
25. The ARIC Investigators. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. Am J Epidemiol. 1989;129(4):687-702.
26. Lotufo PA. Premature mortality from heart diseases in Brazil. A comparison with other countries [in Portuguese]. Arq Bras Cardiol. 1998;70(5):321-325. (Pubitemid 128528110)
27. King H, Aubert RE, Herman WH. Global burden of diabetes, 1995-2025: prevalence, numerical estimates, and projections. Diabetes Care. 1998;21(9):1414-1431. (Pubitemid 28405191)
28. Schmidt MI, Duncan BB. Diabesity: an inflammatory metabolic condition. Clin Chem Lab Med. 2003;41(9): 1120-1130. (Pubitemid 37265689)
29. Pollitt RA, Kaufman JS, Rose KM, et al. Cumulative life course and adult socioeconomic status and markers of inflammation in adulthood. J Epidemiol Community Health. 2008; 62(6):484-491. (Pubitemid 351731632)
30. Chien KL, Lin HJ, Lee BC, et al. A prediction model for the risk of incident chronic kidney disease. Am J Med. 2010;123(9): 836.e2-846.e2.
31. Whooley MA, Caska CM, Hendrickson BE, et al. Depression and inflammation in patients with coronary heart disease: findings from the Heart and Soul Study. Biol Psychiatry. 2007; 62(4):314-320. (Pubitemid 47444281)
32. Hedayati SS, Minhajuddin AT, Afshar M, et al. Association between major depressive episodes in patients with chronic kidney disease and initiation of dialysis, hospitalization, or death. JAMA. 2010;303(19):1946-1953.
33. Dotson VM, Beydoun MA, Zonderman AB. Recurrent depressive symptoms and the incidence of dementia and mild cognitive impairment. Neurology. 2010;75(1):27-34.
34. Maes M, Yirmyia R, Noraberg J, et al. The inflammatory & neurodegenerative (I&ND) hypothesis of depression: leads for future research and new drug developments in depression. Metab Brain Dis. 2009;24(1):27-53.
35. Stolarz-Skrzypek K, Kuznetsova T, Thijs L, et al. Fatal and nonfatal outcomes, incidence of hypertension, and blood pressure changes in relation to urinary sodium excretion. European Project on Genes in Hypertension (EPOGH) Investigators. JAMA. 2011;305(17):1777-1785.
36. Szklo M, Nieto JF. Epidemiology: Beyond the Basics. 2nd ed. Boston, MD: Jones and Bartlett Publishers; 2007.
37. Goldthorpe JH. Social Mobility and Class Structure in Modern Britain. 2nd ed.Oxford, UnitedKingdom:Clarendon Press; 1987.
38. Rose G, McCartney P, Reid DD. Self-administration of a questionnaire on chest pain and intermittent claudication. Br J Prev Soc Med. 1977;31(1):42-48. (Pubitemid 8066480)
39. Benseñor IJ, Lotufo PA, Pereira AC, et al. Validation of a questionnaire for the diagnosis of headache in an outpatient clinic at a university hospital [in Portuguese]. Arq Neuropsiquiatr. 1997;55(3A):364-369.
40. Alves MG, Chor D, Faerstein E, et al. Short version of the "job stress scale": a Portuguese-language adaptation [in Portuguese]. Rev Saude Publica. 2004;38(2):164-171. (Pubitemid 38780024)
41. Kinnunen U, Feldt T, Geurts S, et al. Types of work-family interface: well-being correlates of negative and positive spillover between work and family. Scand J Psychol. 2006; 47(2):149-162. (Pubitemid 43428039)
42. Mujahid MS, Diez Roux AV, Morenoff JD, et al. Assessing the measurement properties of neighborhood scales: from psychometrics to ecometrics. Am J Epidemiol. 2007;165(8):858-867. (Pubitemid 46536670)
43. Sampson RJ, Raudenbush SW, Earls F. Neighborhoods and violent crime: a multilevel study of collective efficacy. Science. 1997;277(5328):918-924. (Pubitemid 27366670)
44. Berkman LF, Syme SL. Social networks, host resistance, and mortality: a nine-year follow-up study of Alameda County residents. Am J Epidemiol. 1979;109(2):186-204. (Pubitemid 10201150)
45. Griep RH, Chor D, Faerstein E, et al. Test-retest reliability of measures of social network in the "Pró-Saúde" Study [in Portuguese]. Rev Saude Publica. 2003;37(3):379-385. (Pubitemid 36874748)
46. Van Der Gaag M, Snijders TAB. The resource generator: social capital quantification with concrete items. Social Networks. 2005;27(1):1-29. (Pubitemid 40272646)
47. Cooke DJ. Psychosocial variables and the life event/anxietydepression link. A community study. Acta Psychiatr Scand. 1986;74(3):281-291. (Pubitemid 17175356)
48. Singh-Manoux A, Adler NE, Marmot MG. Subjective social status: its determinants and its association with measures of ill-health in the Whitehall II study. Soc Sci Med. 2003;56(6): 1321-1333. (Pubitemid 36216329)
49. Kakeshita IS. Adaptacxão e Validacxão de Escalas de Silhuetas para Criancxas e Adultos Brasileiros. Ribeirão Preto, Brazil: Universidade de São Paulo; 2008.
50. Sichieri R, Everhart JE. Validity of a Brazilian food frequency questionnaire against dietary recalls and estimated energy intake. Nutr Res. 1998;18(10):1649-1659. (Pubitemid 28436178)
51. Hallal PC, Victora CG. Reliability and validity of the International Physical Activity Questionnaire (IPAQ) [letter]. Med Sci Sports Exerc. 2004;36(3):556. (Pubitemid 38298710)
52. Lohman TG, Roche AF, Martorell R. Anthropometric Standardization ReferenceManual. Champaign, IL: HumanKinetics Publishers; 1988.
53. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Eur Heart J. 1996;17(3):354-381.