National Health Survey 2019: history, methods and perspectives

Inequalities in the use of health services by adults and elderly people with and without noncommunicable diseases in Brazil, 2019 National Health Survey

OBJECTIVE

The objective of this study was to investigate the use of health services and limitations in performing usual activities by adults and elderly people with and without noncommunicable chronic diseases (NCDs), according to sociodemographic strata.

METHODS

This is a cross-sectional study in which data from the 2019 National Health Survey were analyzed. The final sample corresponded to 88,531 households with interviews carried out, referring to individuals aged 18 years and above. The prevalence of use of services by the population with NCDs was compared with that of the population without NCDs and stratified by socioeconomic and demographic variables. Prevalence ratios (PRs) and 95% confidence intervals (95%CI) were calculated.

RESULTS

In 2019, 47.6% (95%CI 47.0-48.3) of the population reported having one or more NCDs. Population with NCDs had more medical consultations in the last 12 months (adjusted PR [APR]=1.21; 95%CI 1.20-1.23), used more health services in the last 2 weeks (APR=2.01; 95%CI 1.91-2.11), were referred to more hospitalization (APR=2.11; 95%CI 1.89-2.36), and had more limitations in performing usual activities (APR=2.52; 95%CI 2.30-2.76), compared with the population without NCDs. A positive dose-response gradient was observed between the number of comorbidities and the use of services. In all socioeconomic and demographic strata, the prevalence of indicators was higher in people with NCDs.

CONCLUSION

The presence of NCDs was associated with a higher frequency of use of health services (i.e., consultation, use of services, and hospitalization) and the restriction of usual activities in all socioeconomic and demographic strata.

Association of major depressive disorder with chronic diseases and multimorbidity in Brazilian adults, stratified by gender: 2019 National Health Survey

OBJECTIVE

To analyze the association of major depressive disorder with chronic non-communicable diseases and multimorbidity in Brazilian adults, stratified by gender, as well as examine the interaction between gender and chronic non-communicable diseases in association with major depressive disorder.

METHODS

Based on a sample of 65,803 adults from the 2019 National Health Survey, we estimated the prevalence of major depressive disorder (≥10 points in the Patient Health Questionnaire) according to the presence of chronic non-communicable diseases and multimorbidity (≥2 chronic diseases). Prevalence ratios and their respective confidence intervals were calculated by Poisson regression, and multiplicative interaction terms were used to assess the role of gender in the associations.

RESULTS

The prevalence of major depressive disorder among Brazilian adults (18-59 years) was 10.9%, with a statistically significant difference between men (6.0%) and women (15.4%) (p<0.001). Individuals with any chronic non-communicable disease and multimorbidity showed a higher prevalence of major depressive disorder, both in the general population and in each gender. However, the association of major depressive disorder with chronic non-communicable diseases tended to be stronger among men. Data also showed an interaction between the male gender and multimorbidity or specific diseases, such as arthritis or rheumatism, heart disease, and chronic kidney disease, in association with major depressive disorder.

CONCLUSION

The results reveal a significant association between major depressive disorder and chronic non-communicable diseases in both genders and raise the hypothesis that the effects of multimorbidity and certain diseases may be greater on the mental health of men.

Correlates of screen-based behaviors among adults from the 2019 Brazilian National Health Survey

We aimed to investigate correlates of TV viewing and other types of screen-based behaviors in a nationally representative sample of Brazilian adults. In the 2019 Brazilian National Health Survey (including 88,509 adults), TV viewing time and other types of screen behaviors (computer, tablet, and cellphone use) were self-reported and different geographical, sociodemographic, behavioral, and health status factors were investigated as potential correlates. Multinomial logistic regression models were used for the main analyses. Living in capital cities, urban areas, being unemployed, high consumption of soft drinks, obesity, and elevated depressive symptoms were each associated with more TV viewing and more time using other types of screens. There were differential associations between TV viewing and the use of other types of screen across age and socioeconomic variables. For instance, younger adults have a more diverse portfolio of screen time than older adults. To conclude, levels of screen-based behaviors vary by geographical, sociodemographic, behavioral, and health status characteristics. Interventions should focus on high-risk population groups and may benefit from targeting specific sedentary behaviors of interest.

Socioeconomic and Gender Inequalities in Leisure-Time Physical Activity and Access to Public Policies in Brazil From 2013 to 2019

BACKGROUND

This study aims to describe changes in gender and wealth inequalities in leisure-time physical activity (PA) of Brazilians during a 6-year interval. It also aims to evaluate inequalities regarding PA public programs awareness, participation, and access to public spaces for PA.

METHODS

Data from 2 population-based surveys conducted in 2013 and 2019 were used. Leisure-time PA prevalence was assessed considering those reporting ≥150 minutes per week. The authors evaluated gender inequalities calculating differences and ratios, and wealth inequalities using the slope index of inequality and the concentration index- assessing changes over time.

RESULTS

National levels of leisure-time PA increased from 2013 to 2019, and an increase in inequalities was observed; women and the poorest groups still presented lower prevalence. A decline in socioeconomic inequalities was observed from 2013 to 2019 regarding the availability of public spaces and awareness about public programs. However, outcomes remained more common among the richest group. Inequalities did not vary for participation in public programs.

CONCLUSION

Although leisure-time PA increased from 2013 to 2019 at a national level, there were no improvements in gender inequalities, and wealth inequalities worsened over time. Indicators of public strategies for PA increased for the population, but inequalities remain.

Inequalities in the prevalence of major depressive disorder in Brazilian slum populations: a cross-sectional analysis

AIMS

The mental health of slum residents is under-researched globally, and depression is a significant source of worldwide morbidity. Brazil's large slum-dwelling population is often considered part of a general urban-poor demographic. This study aims to identify the prevalence and distribution of depression in Brazil and compare mental health inequalities between slum and non-slum populations.

METHODS

Data were obtained from Brazil's 2019 National Health Survey. Slum residence was defined based on the UN-Habitat definition for slums and estimated from survey responses. Doctor-diagnosed depression, Patient Health Questionnaire (PHQ-9)-screened depression and presence of undiagnosed depression (PHQ-9-screened depression in the absence of a doctor's diagnosis) were analysed as primary outcomes, alongside depressive symptom severity as a secondary outcome. Prevalence estimates for all outcomes were calculated. Multivariable logistic regression models were used to investigate the association of socioeconomic characteristics, including slum residence, with primary outcomes. Depressive symptom severity was analysed using generalised ordinal logistic regression.

RESULTS

Nationally, the prevalence of doctor diagnosed, PHQ-9 screened and undiagnosed depression were 9.9% (95% confidence interval (CI): 9.5-10.3), 10.8% (95% CI: 10.4-11.2) and 6.9% (95% CI: 6.6-7.2), respectively. Slum residents exhibited lower levels of doctor-diagnosed depression than non-slum urban residents (8.6%; 95% CI: 7.9-9.3 v. 10.7%; 95% CI: 10.2-11.2), while reporting similar levels of PHQ-9-screened depression (11.3%; 95% CI: 10.4-12.1 v. 11.3%; 95% CI: 10.8-11.8). In adjusted regression models, slum residence was associated with a lower likelihood of doctor diagnosed (adjusted odds ratio (adjusted OR): 0.87; 95% CI: 0.77-0.97) and PHQ-9-screened depression (adjusted OR: 0.87; 95% CI: 0.78-0.97). Slum residents showed a greater likelihood of reporting less severe depressive symptoms. There were significant ethnic/racial disparities in the likelihood of reporting doctor-diagnosed depression. Black individuals were less likely to report doctor-diagnosed depression (adjusted OR: 0.66; 95% CI: 0.57-0.75) than white individuals. A similar pattern was observed in Mixed Black (adjusted OR: 0.72; 95% CI: 0.66-0.79) and other (adjusted OR: 0.63; 95% CI: 0.45-0.88) ethnic/racial groups. Slum residents self-reporting a diagnosis of one or more chronic non-communicable diseases had greater odds of exhibiting all three primary depression outcomes.

CONCLUSIONS

Substantial inequalities characterise the distribution of depression in Brazil including in slum settings. People living in slums may have lower diagnosed rates of depression than non-slum urban residents. Understanding the mechanisms behind the discrepancy in depression diagnosis between slum and non-slum populations is important to inform health policy in Brazil, including in addressing potential gaps in access to mental healthcare.

Time Trends and Sociodemographic Inequalities in Physical Activity and Sedentary Behaviors Among Brazilian Adults: National Surveys from 2003 to 2019

BACKGROUND

The authors analyzed time trends and sociodemographic inequalities in different physical activity and sedentary behavior domains between 2003 and 2019.

METHODS

A secondary analysis of data from 5 cross-sectional Brazilian epidemiological surveys (World Health Survey-2003, National Household Sample Survey-2008/2015, and Brazilian Health Survey-2013/2019) conducted among a nationally representative sample of Brazilian adults. The authors used data on different domains of physical activity (leisure, commute, total transport, and total physical activity) and sedentary behavior (TV viewing and other types of screens) that were available in the different surveys. Gender, age group, country region, ethnicity, type of area and city, and quintiles of income and educational achievement were used as sociodemographic correlates.

RESULTS

The prevalence of leisure-time physical activity increased over time (2008: 7.0% vs 2019: 26.5%). There was also an increased trend of social inequality in leisure-time physical activity. A trend of reduction was observed for active commuting (2008: 35.0% vs 2019: 21.8%), while total transport physical activity was stable (2013: 49.5% vs 2019: 49.6%). Directions of findings were opposite for sedentary behavior, with reduced trend for >3 hours per day of TV viewing (2008: 34.8% vs 2019: 21.8%) and increased trend for >3 hours per day of other types of screen time (2008: 6.4% vs 2019: 22.2%).

CONCLUSION

A positive trend exists in leisure-time physical activity, but there was also an increase in social inequalities for physical activity in Brazil.

Using Multilevel Regression and Poststratification to Estimate Physical Activity Levels from Health Surveys

BACKGROUND

Large-scale health surveys often consider sociodemographic characteristics and several health indicators influencing physical activity that often vary across subpopulations. Data in a survey for some small subpopulations are often not representative of the larger population.

OBJECTIVE

We developed a multilevel regression and poststratification (MRP) model to estimate leisure-time physical activity across Brazilian state capitals and evaluated whether the MRP outperforms single-level regression estimates based on the Brazilian cross-sectional national survey VIGITEL (2018).

METHODS

We used various approaches to compare the MRP and single-level model (complete-pooling) estimates, including cross-validation with various subsample proportions tested.

RESULTS

MRP consistently had predictions closer to the estimation target than single-level regression estimations. The mean absolute errors were smaller for the MRP estimates than single-level regression estimates with smaller sample sizes. MRP presented substantially smaller uncertainty estimates compared to single-level regression estimates. Overall, the MRP was superior to single-level regression estimates, particularly with smaller sample sizes, yielding smaller errors and more accurate estimates.

CONCLUSION

The MRP is a promising strategy to predict subpopulations' physical activity indicators from large surveys. The observations present in this study highlight the need for further research, which could, potentially, incorporate more information in the models to better interpret interactions and types of activities across target populations.

Contextual and individual factors associated with public dental services utilisation in Brazil: A multilevel analysis

BACKGROUND

This study verified the association between contextual and individual factors and public dental services utilisation in Brazil.

METHODS

The study was conducted based on a cross-sectional population-based household survey performed in Brazil (National Health Survey- 2019)). Data was collected between August 2019 and March 2020. Total sample included 43,167 individuals aged ≥15 years who had at least one dental appointment in the last 12 months before interview. Study outcome was 'public dental service utilisation', and Andersen's behavioral model was adopted for selecting independent variables. A multilevel analysis was performed using individual factors as first level and federation units as second level.

RESULTS

The highest prevalence of public dental service utilisation on an individual level was observed among unable to read or write people (PR: 3.31; p<0.001), indigenous (PR: 1.40; p<0.001), black or brown (PR: 1.16; p<0.001), with per capita household income of up to U$124 (PR: 2.40; p<0.001), living in the rural area (PR: 1.28; p<0.001), and who self-rated oral health as regular (PR: 1.15; p<0.001) or very bad/bad (PR: 1.26; p<0.001). On the contextual level, highest PR of public dental service utilisation was observed among those living in federal units with increased oral health coverage in primary health care.

CONCLUSIONS

Public dental service utilisation is associated with individual and contextual factors. These results can guide decision-making based on evidence from policymakers, demonstrating the potential for mitigating oral health inequalities and increasing service coverage in a public and universal health system.