Ethnic-racial classification criteria are widely recognized to vary according to historical, cultural and political contexts. In Brazil, the strong influence of individual socio-economic factors on race/colour self-classification is well known. With the expansion of genomic technologies, the use of genomic ancestry has been suggested as a substitute for classification procedures such as self-declaring race, as if they represented the same concept. We investigated the association between genomic ancestry, the racial composition of census tracts and individual socioeconomic factors and self-declared race/colour in a cohort of 15,105 Brazilians. Results show that the probability of self-declaring as black or brown increases according to the proportion of African ancestry and varies widely among cities. In Porto Alegre, where most of the population is white, with every 10% increase in the proportion of African ancestry, the odds of self-declaring as black increased 14 times (95%CI 6.08–32.81). In Salvador, where most of the population is black or brown, that increase was of 3.98 times (95%CI 2.96–5.35). The racial composition of the area of residence was also associated with the probability of self-declaring as black or brown. Every 10% increase in the proportion of black and brown inhabitants in the residential census tract increased the odds of self-declaring as black by 1.33 times (95%CI 1.24–1.42). Ancestry alone does not explain self-declared race/colour. An emphasis on multiple situational contexts (both individual and collective) provides a more comprehensive framework for the study of the predictors of self-declared race/colour, a highly relevant construct in many different scenarios, such as public policy, sociology and medicine.

Objective: To estimate the prevalence of polypharmacy, describe the pharmacotherapeutic classes used, and investigate whether polypharmacy is associated with demographic and socioeconomic indicators, regardless of the number of diseases, among participants in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline (2008-2010). Method: In this analysis, 14,523 adults and elderly (35-74 years) participated. Polypharmacy was characterized as regular use of five or more medicines. The demographic and socioeconomic indicators analyzed were: gender, age, education level, per capita family income, and access to private health insurance. The independent association between demographic and economic indicators and polypharmacy was estimated by binary logistic regression. Results: The prevalence of polypharmacy was 11.7%. The most used drugs were those with action on the cardiovascular system. After adjustments, including by number of diseases, the chances of being on polypharmacy treatment were significantly higher among women, older participants and those with greatest number of diseases. Individuals without health insurance had lower chance to be under polypharmacy, as well as those with lower income. Conclusion: The occurrence of polypharmacy among ELSA-Brasil baseline participants was mainly due to drugs for the treatment of chronic diseases. The relation between polypharmacy and the female gender, as well as its association with old age, are in consonance with the results obtained in other studies. Despite the absence of an association between polypharmacy and education level, the income and health insurance results reinforce the existence of social inequalities regarding drug use.

A growing burden of mental illness, and in particular depression, among workers is a concern of occupational public health. Scientific evidence has revealed consistent associations of work-related stress, as measured by theoretical models, with depression, but mostly so in developed countries. This contribution explores these associations in a developing Latin American country, Brazil, by applying an internationally established work stress model, the effort-reward imbalance (ERI). This model focuses on the work contract where unjust exchange between high efforts spent and low rewards received in turn contributes to stress-related disorders. The model’s extrinsic (‘effort’, ‘reward’) and intrinsic components (‘over-commitment’), as well as their combination, are hypothesized to be related to a higher risk of depressive episodes (DE). Using cross-sectional data from the ELSA-Brasil study, including 10,034 workers from the public sector, we observed increased prevalence ratio (PR) of DE according to ERI scales. The quartiles of highest ‘effort’ (PR = 1.85; 1.44–2.37), highest ‘over-commitment’ (PR = 3.62; 2.80–4.70) and lowest ‘reward’ (PR = 3.44; 2.55–4.64) were associated with DE, on adjusted models, as well was the E–R ratio (PR = 2.47; 1.92–3.17). An additive interaction was identified between the E–R ratio and ‘over-commitment’. The results support the use of ERI as a screening tool for work stress in the Brazilian context and will offer guidance for worksite health promotion programs.

Resumo: Pretos e pardos apresentam grandes desvantagens de saúde, possuem menores chances de ascensão na hierarquia social no curso de vida e menores níveis socioeconômicos do que brancos como resultado do racismo estrutural. Entretanto, pouco se sabe sobre o papel mediador da mobilidade intergeracional na associação entre racismo e saúde. O objetivo do presente estudo foi investigar a associação entre racismo e a autoavaliação de saúde, e verificar em que medida a mobilidade social intergeracional media essa associação. Estudo transversal realizado com dados de 14.386 participantes da linha de base (2008-2010) do Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil). Escolaridade materna, escolaridade do participante, classe sócio-ocupacional do chefe de família e classe sócio-ocupacional do participante compuseram os indicadores de mobilidade social intergeracional (educacional e sócio-ocupacional). Modelos de regressão logística foram utilizados. A prevalência de autoavaliação de saúde ruim foi de 15%, 24% e 28% entre brancos, pardos e pretos, respectivamente. Após ajustes por idade, sexo e centro de investigação foram encontradas maiores chances de autoavaliação de saúde ruim entre pretos (OR = 2,15; IC95%: 1,92-2,41) e pardos (OR = 1,82; IC95%: 1,64-2,01) quando comparados aos brancos. A mobilidade educacional e sócio-ocupacional intergeracional mediaram, respectivamente, 66% e 53% da associação entre a raça/cor e autoavaliação de saúde ruim em pretos, e 61% e 51% em pardos, respectivamente. Resultados confirmam a iniquidade racial na autoavaliação de saúde e apontam que a mobilidade social intergeracional desfavorável é um importante mecanismo para explicar essa iniquidade.

OBJECTIVE Glycemic regression is common in real-world settings, but the contribution of regression to the mean (RTM) has been little investigated. We aimed to estimate glycemic regression before and after adjusting for RTM in a free-living cohort of adults with newly ascertained diabetes and intermediate hyperglycemia (IH). RESEARCH DESIGN AND METHODS The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a cohort study of 15,105 adults screened between 2008 and 2010 with standardized oral glucose tolerance test and HbA_1c, repeated after 3.84 ± 0.42 years. After excluding those receiving medical treatment for diabetes, we calculated partial or complete regression before and after adjusting baseline values for RTM. RESULTS Regarding newly ascertained diabetes, partial or complete regression was seen in 49.4% (95% CI 45.2–53.7); after adjustment for RTM, in 20.2% (95% CI 12.1–28.3). Regarding IH, regression to normal levels was seen in 39.5% (95% CI 37.9–41.3) or in 23.7% (95% CI 22.6–24.3), depending on use of the World Health Organization (WHO) or the American Diabetes Association (ADA) definition, respectively; after adjustment, corresponding frequencies were 26.1% (95% CI 22.4–28.1) and 19.4% (95% CI 18.4–20.5). Adjustment for RTM reduced the number of cases detected at screening: 526 to 94 cases of diabetes, 3,118 to 1,986 cases of WHO-defined IH, and 6,182 to 5,711 cases of ADA-defined IH. Weight loss ≥2.6% was associated with greater regression from diabetes (relative risk 1.52, 95% CI 1.26–1.84) and IH (relative risk 1.30, 95% CI 1.17–1.45). CONCLUSIONS In this quasi–real-world setting, regression from diabetes at ∼4 years was common, less so for IH. Regression was frequently explained by RTM but, in part, also related to improved weight loss and homeostasis over the follow-up.

Background: Evidence of multimorbidity has come mainly from high-income regions, while disparities among racial groups have been less explored. This study examined racial differences in multimorbidity in the multiracial cohort of the Longitudinal Study of Adult Health (Estudo Longitudinal de Saúde do Adulto), ELSA-Brasil. Methods: The study examined baseline (2008–2010) data for 14 099 ELSA-Brasil participants who self-reported being white, mixed-race, or black. A list of 16 morbidities was used to evaluate multimorbidity, operationalised by simple count into ≥ 2, ≥ 3, ≥ 4, ≥ 5 and ≥ 6 morbidities, in addition to evaluating the number of coexisting conditions. Prevalence ratios (PR) were estimated from logistic models and a quantile model was used to examine racial differences graphically in the distribution quantiles for the number of morbidities. Results: Overall prevalence of multimorbidity (≥ 2 morbidities) was 70% and, after controlling for age and sex, was greater among mixed-race and black participants – by 6% (PR: 1.06; 95% CI: 1.03–1.08) and 9% (PR: 1.09; 95% CI: 1.06–1.12), respectively – than among white participants. As the cutoff value for defining multimorbidity was raised, so the strength of the association increased, especially among blacks: if set at ≥ 6 morbidities, the prevalence was 27% greater for those of mixed-race (PR: 1.27; 95% CI: 1.07–1.50) and 47% greater for blacks (PR: 1.47; 95% CI: 1.22–1.76) than for whites. The disparities were smaller in the lower morbidity distribution quantiles and larger in the upper quantiles, indicating a heavier burden of disease, particularly on blacks. Conclusions: Multimorbidity was common among adults and older adults in a Brazilian cohort, but important racial inequalities were found. Raising the cutoff point for defining multimorbidity revealed stronger associations between race/skin colour and multimorbidity, indicating a higher prevalence of multimorbidity among mixed-race and black individuals than among whites and that the former groups coexisted more often with more complex health situations (with more coexisting morbidities). Interventions to prevent and manage the condition of multimorbidity that consider the social determinants of health and historically discriminated populations in low- and middle-income regions are necessary.