Independent and combined associations of sugar-sweetened beverage consumption, TV viewing, and physical activity with severe depressive symptoms among 59,402 adults

Objective: Our aim was to analyze the association between sugar-sweetened beverage consumption and depressive symptoms, as well as the extent to which TV viewing and physical activity moderate this association. Methods: We used cross-sectional data from the 2013 Brazilian National Survey (Pesquisa Nacional de Saúde) of 59,402 adults (33,482 women, mean age = 42.9 years, 95%CI 42.7-43.2 years). Depressive symptoms (Patient Health Questionnaire-9), physical activity, TV viewing, and sugar-sweetened beverage consumption, as well as potential confounders (chronological age, ethnicity, consumption of candy/sweets and fruit, multimorbidity, education, and employment status) were self-reported. Poisson regression models were used for association analyses. Results: The consumption of 16 or more glasses/week of sugar-sweetened beverages was associated with higher levels of severe depressive symptoms among women compared to no consumption (prevalence ratio [PR] 1.71 [95%CI 1.38-2.11]). Consistent interactions were observed between 1-5 glasses and TV viewing (PR 2.09 [95%CI 1.06-4.12]) and between 11-15 glasses and TV viewing (PR 2.90 [95%CI 1.29-6.50]) among men compared to no consumption, given that the co-occurrence of sugar-sweetened beverage consumption and elevated TV viewing was associated with higher odds of severe depressive symptoms. Sugar-sweetened beverage consumption did not interact with physical activity, only presenting an independent association. Conclusion: Sugar-sweetened beverage consumption was independently associated with severe depressive symptoms among women and interacted with TV viewing, but not with physical activity among men

Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults.

BACKGROUND: Our aim was to investigate the association of macroeconomic, human development, and demographic factors with different domains of physical activity and sitting time among South American adults. METHODS: We used data from nationally representative samples in Argentina (n = 26,932), Brazil (n = 52,490), Chile (n = 3866), Colombia (n = 14,208), Ecuador (n = 19,883), Peru (n = 8820), and Uruguay (n = 2403). Our outcomes included leisure time (≥150 min/week), transport (≥10 min/week), occupational (≥10 min/week), and total (≥150 min/week) physical activity, as well as sitting time (≥4 h/day), which were collected through self-reported questionnaires. As exposures, gross domestic product, total population, population density, and human development index indicators from the most updated national census of each country were used. Age and education were used as covariates. Multilevel logistic regressions with harmonized random effect meta-analyses were conducted, comparing highest vs. lowest (reference) tertiles. RESULTS: Higher odds for transport physical activity were observed among the highest tertiles of total population (ORmen: 1.41; 95% CI: 1.23-1.62), ORwomen: 1.51; 95% CI:1.32-1.73), population density (ORmen: 1.36; 95% CI: 1.18-1.57, ORwomen: 1.49; 95% CI: 1.30-1.70), and gross domestic product (ORmen: 1.16; 95% CI: 1.00-1.35, ORwomen: 1.39; 95% CI: 1.20-1.61). For leisure physical activity, women living in departments with higher human development index presented 18% higher odds for being active, and for total physical activity a similar estimate in both sexes was observed among those who live in more populated areas. No consistent associations were found for occupational physical activity and sitting time. CONCLUSION: Macroeconomic, demographic and human development indicators are associated with different domains of physical activity in the South American context, which can in turn guide policies to promote physical activity in the region

Socioeconomic inequalities in the use of outpatient services in Brazil according to health care need: evidence from the World Health Survey

<p>Abstract</p> <p>Background</p> <p>The Brazilian health system is founded on the principle of equity, meaning provision of equal care for equal needs. However, little is known about the impact of health policies in narrowing socioeconomic health inequalities. Using data from the Brazilian World Health Survey, this paper addresses socioeconomic inequalities in the use of outpatient services according to intensity of need.</p> <p>Methods</p> <p>A three-stage cluster sampling was used to select 5000 adults (18 years and over). The non-response rate was 24.7% and calibration of the natural expansion factors was necessary to obtain the demographic structure of the Brazilian population. Utilization was established by use of outpatient services in the 12 months prior to the interview. Socioeconomic inequalities were analyzed by logistic regression models using years of schooling and private health insurance as independent variables, and controlling by age and sex. Effects of the socioeconomic variables on health services utilization were further analyzed according to self-rated health (good, fair and poor), considered as an indicator of intensity of health care need.</p> <p>Results</p> <p>Among the 5000 respondents, 63.4% used an outpatient service in the year preceding the survey. The association of health services utilization and self-rated health was significant (p < 0.001). Regarding socioeconomic inequalities, the less educated used health services less frequently, despite presenting worse health conditions. Highly significant effects were found for both socioeconomic variables, years of schooling (p < 0.001) and private health insurance (p < 0.00), after controlling for age and sex. Stratifying by self-rated health, the effects of both socioeconomic variables were significant among those with good health status, but not statistically significant among those with poor self-rated health.</p> <p>Conclusions</p> <p>The analysis showed that the social gradient in outpatient services utilization decreases as the need is more intense. Among individuals with good self-rated health, possible explanations for the inequality are the lower use of preventive services and unequal supply of health services among the socially disadvantaged groups, or excessive use of health services by the wealthy. On the other hand, our results indicate an adequate performance of the Brazilian health system in narrowing socioeconomic inequalities in health in the most serious situations of need.</p