| Literature DB >> 24585730 |
Maria Inês Schmidt1, Bruce B Duncan2, José Geraldo Mill2, Paulo A Lotufo2, Dóra Chor2, Sandhi Maria Barreto2, Estela M L Aquino2, Valéria Maria Azeredo Passos2, Sheila M A Matos2, Maria del Carmen B Molina2, Marilia S Carvalho2, Isabela M Bensenor2.
Abstract
Chronic diseases are a global problem, yet information on their determinants is generally scant in low- and middle-income countries. The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) aims to contribute relevant information regarding the development and progression of clinical and subclinical chronic diseases, particularly cardiovascular diseases and diabetes, in one such setting. At Visit 1, we enrolled 15 105 civil servants from predefined universities or research institutes. Baseline assessment (2008-10) included detailed interviews and measurements to assess social and biological determinants of health, as well as various clinical and subclinical conditions related to diabetes, cardiovascular diseases and mental health. A second visit of interviews and examinations is under way (2012-14) to enrich the assessment of cohort exposures and to detect initial incident events. Annual surveillance has been conducted since 2009 for the ascertainment of incident events. Biological samples (sera, plasma, urine and DNA) obtained at both visits have been placed in long-term storage. Baseline data are available for analyses, and collaboration via specific research proposals directed to study investigators is welcome.Entities:
Keywords: Cardiovascular diseases; chronic diseases; cohort studies; developing countries; diabetes mellitus; obesity; occupational health; social determinants of health
Mesh:
Substances:
Year: 2014 PMID: 24585730 PMCID: PMC4339754 DOI: 10.1093/ije/dyu027
Source DB: PubMed Journal: Int J Epidemiol ISSN: 0300-5771 Impact factor: 7.196
Socio-demographic characteristics and socio-economic categories of study participants in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), N = 15 105, 2008–10
| Characteristics | % | |
|---|---|---|
| Sex | ||
| Men | 6887 | 45.6 |
| Women | 8218 | 54.4 |
| Age (years) | ||
| 35–44 | 3340 | 22.1 |
| 45–54 | 5939 | 39.3 |
| 55–64 | 4234 | 28.0 |
| 65–74 | 1592 | 10.6 |
| Self-identified skin colour / race category | ||
| White | 7791 | 52.2 |
| Black | 2397 | 16.1 |
| Brown (‘pardo’) | 4202 | 28.2 |
| Asian | 374 | 2.5 |
| Indigenous | 157 | 1.0 |
| Region | ||
| North-east | 2029 | 13.4 |
| South-east | 11015 | 72.9 |
| South | 2061 | 13.7 |
| Educational level | ||
| Never attended school or incomplete elementary school | 894 | 5.9 |
| Complete elementary school or incomplete secondary school | 1028 | 6.8 |
| Complete secondary school | 5233 | 34.6 |
| University degree | 7950 | 52.7 |
| Maternal educational level | ||
| Never attended school or incomplete elementary school | 8357 | 56.7 |
| Complete elementary school or incomplete secondary school | 2869 | 19.5 |
| Complete secondary school | 2558 | 17.3 |
| University degree | 955 | 6.5 |
| Social class | ||
| Low | 4317 | 25.1 |
| Middle | 5974 | 43.5 |
| High | 3455 | 31.4 |
| Occupation | ||
| Manual | 3019 | 18.4 |
| Routine, non-manual | 2360 | 29.0 |
| Non-routine, non-manual | 7355 | 53.0 |
| Intragenerational social mobility | ||
| Descending | 3019 | 23.7 |
| Stable | 2360 | 18.5 |
| Ascending | 7355 | 57.8 |
Small differences in total N for each variable are due to missing values. Social class coded for the 13 746 with available information, and occupation and intragenerational social mobility for the 12 734 with this information.
Measurements obtained at different phases of the study
| Phase | Measurements |
|---|---|
| Baseline 2008–10 | Questionnaires with contextual and individual information on social determinants, health-related behaviours, self-reported chronic conditions, diagnosis of common mental disorders, reproductive health, cognitive function |
| Anthropometry | |
| Blood pressure (resting and after postural change) | |
| Ankle-brachial index, pulse wave velocity | |
| Electrocardiogram (ECG), heart rate variability | |
| Retinal photographs | |
| Ultrasound (carotid; liver; abdominal fat; echocardiography) | |
| Oral glucose tolerance test (meal challenge test in diabetes) | |
| Biochemical and haematological determinations in blood, overnight urine collection | |
| Stored DNA, plasma, serum and urine in liquid nitrogen | |
| Geo-coding | |
| Visit 2 2012–14 | Questionnaires |
| Socio-economic position and social class | |
| Self-rated health | |
| Changes in occupational status and assessment of job stress | |
| Health-related behaviours (smoking, alcohol consumption, physical activity, changes in diet since baseline) | |
| Neighbourhood characteristics (leisure, sports, built environment, access to foodstuffs) | |
| Cognitive function (among ≥55 years old) | |
| Mental health | |
| Marital status and family context | |
| Reproductive health | |
| Medication use | |
| Body weight trajectory (Stunkard scale) | |
| Social network | |
| Life satisfaction (The Satisfaction with Life Scale) | |
| Sleep (pattern, insomnia, apnoea) | |
| Anthropometric measures: weight, height, waist and hip circumference; Bioimpedance spectroscopy | |
| Blood pressure | |
| Hand grip strength | |
| Monofilament sensitivity testing in diabetes | |
| ECG | |
| Oral glucose tolerance test | |
| Biochemical and haematological determinations (in fasting or post-load blood, and overnight urine) | |
| Stored blood plasma, serum and urine in liquid nitrogen | |
| Yearly follow-up (2009 to present) | Phone interview with reported events investigated through chart review. |
aThrough effort-reward imbalance model (at baseline, job stress was initially assessed through a questionnaire based on the demand-control model).
bNot addressed at baseline.
Prevalence of selected behavioural risk factors, measured diseases or conditions and self-reported chronic diseases in the Brazilian Longitudinal Study of Adult Health, N = 15 105, 2008–10
| Factors | Overall | Men | Women | |||
|---|---|---|---|---|---|---|
| % | % | % | ||||
| Behavioural risk factors | ||||||
| Excessive drinking | 1125 | 7.5 | 838 | 12.2 | 287 | 3.5 |
| Binge drinking | 1993 | 13.2 | 1438 | 20.9 | 555 | 6.8 |
| <recommended daily fruit intake | 6413 | 42.5 | 3543 | 51.5 | 2870 | 35.0 |
| <recommended daily vegetable intake | 7249 | 48.1 | 3747 | 54.5 | 3502 | 42.7 |
| Low leisure time physical activity | 11456 | 76.9 | 4984 | 73.4 | 6472 | 79.9 |
| Current smoking | 1977 | 13.1 | 984 | 14.3 | 993 | 12.1 |
| Former smoking | 4533 | 30.0 | 2436 | 35.4 | 2097 | 25.5 |
| Measured diseases/conditions | ||||||
| Obesity (BMI ≥30 kg/m2) | 3463 | 22.9 | 1426 | 20.7 | 2037 | 24.8 |
| Overweight (25≤ BMI< 30 kg/m2) | 6072 | 40.2 | 3113 | 45.2 | 2959 | 36.0 |
| Hypertension | 5402 | 35.8 | 2760 | 40.1 | 2642 | 32.2 |
| Pre-hypertension | 3546 | 23.5 | 2020 | 29.4 | 1526 | 18.6 |
| Hypercholesterolaemia | 9282 | 61.5 | 4056 | 58.9 | 5226 | 63.6 |
| Low HDL-C | 2712 | 18.0 | 1009 | 14.7 | 1703 | 20.7 |
| Hypertriglyceridaemia | 4704 | 31.2 | 2813 | 40.9 | 1891 | 23.0 |
| Diabetes | 2969 | 20.0 | 1603 | 23.3 | 1366 | 16.6 |
| Impaired fasting glucose, ADA | 7947 | 52.6 | 4050 | 58.8 | 3897 | 47.4 |
| Impaired fasting glucose, WHO | 2887 | 19.1 | 1680 | 24.4 | 1207 | 14.7 |
| Impaired glucose tolerance | 3066 | 20.3 | 1456 | 21.1 | 1610 | 20.0 |
| Elevated hsCRP | 4229 | 28.0 | 1565 | 22.8 | 2664 | 32.5 |
| Elevated UACR | 736 | 5.0 | 408 | 6.1 | 328 | 4.1 |
| Low eGFR (<60 ml/min) | 681 | 4.6 | 359 | 5.3 | 322 | 4.0 |
| Hypothyroidism | 119 | 0.8 | 49 | 0.7 | 70 | 0.8 |
| Chagas disease seropositivity | 115 | 0.8 | 57 | 0.8 | 58 | 0.7 |
| Common mental disorders | 4036 | 26.7 | 1265 | 18.4 | 2771 | 33.7 |
| Depression | 637 | 4.2 | 159 | 2.3 | 478 | 5.8 |
| Anxiety | 2436 | 16.1 | 762 | 11.1 | 1674 | 20.4 |
| Self reported chronic diseases | ||||||
| Coronary heart disease | 721 | 4.7 | 393 | 5.7 | 328 | 4.0 |
| Heart failure | 251 | 1.7 | 128 | 1.9 | 123 | 1.5 |
| Stroke | 197 | 1.3 | 90 | 1.3 | 107 | 1.3 |
| Rheumatic fever | 433 | 2.9 | 155 | 2.2 | 278 | 3.4 |
| Chagas disease | 64 | 0.4 | 31 | 0.4 | 33 | 0.4 |
| Cancer | 695 | 4.6 | 284 | 4.1 | 411 | 5.0 |
| Asthma | 1758 | 11.6 | 691 | 10.0 | 1067 | 13.0 |
| COPD | 308 | 2.0 | 124 | 1.8 | 184 | 2.2 |
| Cirrhosis or hepatitis | 1303 | 8.6 | 608 | 8.8 | 695 | 8.5 |
| Polycystic ovary syndrome | – | – | – | – | 903 | 11.1 |
Small differences in number of participants for each outcome are due to missing values.
aExcessive drinking defined as >210 g alcohol/week for men and 140 g alcohol/week for women.
bDefined as the consumption of 5 or more doses of alcohol in a period of 2 h at least 2–3 times per month over the past 12 months.
cObtained with the International Physical Activity Questionnaire (IPAQ) – Short Form, and defined according to the IPAC Guidelines for Data Processing and Analysis.
dDefined as systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg, or verified treatment with anti-hypertensive medication during the past 2 weeks.
eNon-hypertensive participants with systolic blood pressure 120–139 mmHg or diastolic blood pressure 80–89 mmHg.
f>5.17 mmol/l (200 mg/dl).
gMen <1.03 mmol/l (40 mg/dl); women <1.29 mmol/l (50 mg/dl).
h≥1.69 mmol/l (150 mg/dl).
iDefined as a report of a previous diagnosis of diabetes or the use of medication for diabetes, or meeting a diagnostic value for diabetes according to one of the following tests: fasting or 2-h plasma glucose obtained during a 75-g oral glucose tolerance test (OGTT); or HbA1C.
jFasting glucose 5.5–6.9 mmol/l (100–125 mg/dl), American Diabetes Association.
kFasting glucose 6.1–6.9 mmol/l (110–125 mg/dl), World Health Organization.
l2-h glucose 7.8–11.0 mmol/l (140–199 mg/dl).
mHigh sensitivity C-reactive protein ≥28.57 nmol/l (3 mg/dl).
nUrine albumin-to-creatinine ratio ≥3.4 mg/mmol (30 mg/g), from validated overnight collection.
oGlomerular filtration rate estimated by Chronic Kidney Disease Epidemiology Collaboration (CKD-Epi), considering Blacks and Browns as Blacks.
pThyroid-stimulating hormone (TSH) >4.0 mIU/l and thyroxine (T4) <11.6 pmol/l (0.9 ng/dl).
qDefined as a score ≥12 obtained in the Clinical Interview Schedule-Revised (CIS-R).
rMyocardial infarction, coronary revascularization or a physician diagnosis of angina pectoris.
sRheumatic fever/ rheumatic heart disease.
t14.2% (99) of cancers were non-melanoma skin cancer.
uChronic obstructive pulmonary disease.
Prevalence of selected self-reported behavioural risk factors and chronic conditions in adults ages 35–74 years in the Brazilian Longitudinal Study of Adult Health, 2008–10 and in the VIGITEL survey, 2010
| Self-reported characteristic | ELSA-Brasil | VIGITEL |
|---|---|---|
| % | % | |
| Self-reported behavioural risk factors | ||
| Binge drinking | 13.2 | 15.0 |
| Less than 5 day/week fruit intake | 34.3 | 39.3 |
| Less than 5 day/week vegetable intake | 37.1 | 51.0 |
| Low leisure time physical activity | 76.9 | 75.2 |
| Current smoking | 13.1 | 15.7 |
| Former smoking | 30.0 | 30.1 |
| Self-reported diseases or health conditions | ||
| Previous diagnosis of hypertension | 34.1 | 35.3 |
| Previous diagnosis of diabetes | 8.8 | 9.6 |
| Obesity (BMI ≥30 kg/m2) | 22.9 | 19.1 |
| Overweight (25≤ BMI< 30 kg/m2) | 40.2 | 46.9 |
aELSA-Brasil: consumption of 5 or more doses of alcohol in a period of 2 h at least 2–3 times per month over the past 12 months. VIGITEL: consumption of 5 or more doses of alcohol for men and 4 or more doses of alcohol for women in the past 30 days.
bELSA-Brasil: defined using the International Physical Activity Questionnaire (IPAQ) – Short Form, according to the IPAC Guidelines for Data Processing and Analysis. VIGITEL: no leisure time physical activity or <150 min/week total physical activity.
cELSA-Brasil: based on measured height and weight.