Neighborhood sociodemographic and environmental contexts and self-rated health among Brazilian adults: a multilevel study

Objective and subjective measures of air pollution and self-rated health: the evidence from Chile

PURPOSE

The literature exploring individual differences in self-rated health has grown fast in recent years. Self-rated health (SRH) is a good indicator of general health status. This empirical study explores the association between outdoor air pollution and SRH in Chile. This type of analysis is infrequent in Latin America.

METHODS

We used objective and subjective air pollution measures. The first corresponds to PM2.5, and the latter to the perception of a high level of air pollution. Drawing on data from two independent and repeated nationwide surveys over the period 2006-2017 at the individual level in Chile, we performed repeated cross-sectional analyses for each year of survey application. Ordered Logit (OL) and Logit (L) multivariate models were used to investigate the association between SRH and air pollution measures, considering other socioeconomic and demographic covariates.

RESULTS

We found that the higher is the level of air pollution, the lower the SRH in Chile, regardless of whether air pollution is physically measured or perceived by respondents. The results were consistent over the years in the sign and significance of regression coefficients using two surveys and two forms of the outcome variable.

CONCLUSIONS

Our findings add evidence that air pollution is a relevant determinant of SRH. In addition, they show that subjective measures of air pollution can be as reliable as physical measures in the analysis of the association between air pollution and human health.

Built environment and its association with self-rated health in Brazilian elderly: National Health Survey 2013

The present study aims to investigate the association between the built environment and positive self-rated health among older adults from Brazilian capitals. It is a cross-sectional population-based study, which collected data from the National Health Survey 2013 and the Observatório das Metrópoles. The outcome was a positive self-rated health. The built environment was investigated by the Urban Wellbeing Index (IBEU, in Portuguese). Analyses were performed by multilevel logistic regression (95%CI). Among the 4,643 elderly individuals evaluated in this study, 51.5% reported a positive self-rated health (95%CI: 50.0-52.9). Elderly people living in capitals with higher IBEU terciles were more likely to have a positive self-rated health (OR: 1.42; 95%CI: 1.08-1.86 (T2); OR: 1.78; 95%CI: 1.35-2.33 (T3)). As for the dimensions of the IBEU, the following were associated with the outcome: urban infrastructure (OR: 1.56; 95%CI: 1.13-2.16), urban environmental conditions (OR: 1.49; 95%CI: 1.10-2.04), urban housing conditions (OR: 1.45; 95%CI: 1.05-1.99), and urban collective services (OR: 1.72; 95%CI: 1.30-2.27). A positive association was found between better conditions of the built environment and one's perception of health, regardless of individual characteristics. Promoting changes in the built environment can be effective in improving health levels, thus favoring healthy aging.

Social environment characteristics are related to self-rated health in four Latin America countries: Evidence from the SALURBAL Project

We investigated the associations of social and built environment and demographic features of urban areas with self-rated health among adults living in four Latin American countries. We estimated multilevel models with harmonized data from 69,840 adults, nested in 262 sub-cities and 112 cities, obtained from the Salud Urbana en América Latina project. Poor self-rated health was inversely associated with services provision score at the sub-city-level and with social environment index at the city-level. We did not identify associations of built environment and demographic features with self-rated health. Approaches and policies to improve health in Latin American should be urban context-sensitive.

Socioenvironmental factors and behaviors associated with negative self-rated health in Brazil

The purpose of this study is to determine the factors associated with negative self-rated health in Brazil. The sample consisted of 5,259 adults from five representative capitals of the five regions of Brazil. Data collection was achieved in the following municipalities: Palmas (North Region), João Pessoa (Northeast Region), Goiânia (Central-West Region), Vitória (Southeast Region) and Florianópolis (South Region). For the analysis of the data, Binary Logistic Regression for determine the factors associated with negative self-rated health was used. Negative self-rated health was identified in 31.43% of Brazilians. The factors that were significantly associated were bad air quality, does not have public spaces for leisure, older age group, insufficient salary to cover expenses, a rare practice of physical exercises, does not perform healthy eating, active commuting for study or employment and commuting time for above 30 minutes, dissatisfaction with health services and still, not working, not looking for a job and finally, reside in some Brazilian regions. The study presents the importance of socioenvironmental and behavioral factors for the self-rated health of Brazilian adults, as well as it shows high rates of negative self-rated health compared to other studies.

The role of individual, household, and area of residence factors on self-rated health in Colombian adults: A multilevel study

Introduction:

Self-rated health is strongly associated with morbidity and mortality. It is largely influenced by individual factors but also by individuals’ social surroundings and environment.

Objective:

To investigate individual, household, and locality factors associated with self- rated health in Colombian adults.

Materials and methods:

We conducted a cross-sectional multilevel study using data from national databases on 19 urban localities and 37,352 individuals nested within 15,788 households using a population-based survey. Given the natural hierarchical structure of the data, the estimates of self-rated health related to individual, household, and locality characteristics were obtained by fitting a three-level logistic regression.

Results:

The adjusted multilevel logistic models showed that at individual level, higher odds of poor self-rated health were found among older adults, persons from low socio-economic status, those living without a partner, with no regular physical activity, and reporting morbidities. At the household level, poor self-rated health was associated with households of low socioeconomic status located near noise sources and factories and in polluted and insecure areas. At the locality level, only poverty was associated with poor self-rated health after adjusting for individual and household variables.

Conclusions:

These results highlight the need for a more integrated framework when designing and implementing strategies and programs that aim to improve health conditions in urban populations in Latin America.

Focusing neighborhood context and self-rated health in the Pró-Saúde Study

The influence of neighborhood characteristics on self-rated health has been little studied. A multilevel approach using hierarchical models was applied to analyze the relationship between the socioeconomic characteristics in 621 neighborhoods (level 2) in the city of Rio de Janeiro, Brazil, and the self-rated health of 3,054 university employees (level 1) from the baseline of the Pró-Saúde Study. Neighborhoods were created using the SKATER algorithm (Spatial ‘K’luster Analysis by Tree Edge Removal) to cluster census tracts according to four indicators and a minimum population of 5,000 people. After adjustment for individual factors (per capita income, schooling, age, sex, ethnicity, health-related behavior and chronic diseases), low level of neighborhood income and higher numbers of members per household were significantly associated with poor self-rated health. Participants living in medium income-level neighborhoods were 34% more likely to self-rate their health as being poor. Those living in areas with a higher density of members per household were 50% more likely to present poor self-rated health. Neighborhood context influences self-rated health, beyond the effect of individual factors. Worsening neighborhood socioeconomic conditions affect health adversely, which in turn increasing the chance of poor self-rated health.

Increasing educational inequalities in self-rated health in Brazil, 1998-2013

The objectives of this study are to analyze the associations between educational levels and poor self-rated health (SRH) among adults in Brazil and to assess trends in the prevalence of poor self-rated health across educational groups between 1998 and 2013. Individual-level data came from the 1998, 2003 and 2008 Brazilian National Household Survey and the 2013 National Health Survey. We estimate prevalence rates of poor SRH by education. Using multivariable regressions, we assess the associations between educational levels and poor self-rated health. We use these regressions to predict the estimated ratios between the prevalence rates of those in low vs. high education in order to assess if relative changes in poor SRH have narrowed over time. Finally, we tested for statistically significant time trends in adult chronic disease inequalities by education. Results indicate a clear educational gradient in poor SRH. Prevalence ratios show that Brazilian adults with no education have levels of poor SRH that are 7 to 9 times higher than those with some college or more. The difference between those with lowest and highest education increased from 1998 to 2013. Compared to those with no education, there were increases in the prevalence of poor SRH among those with primary and secondary incomplete as well as among those with secondary complete in 2008 and 2013. In conclusion, there is a positive association between poor SRH and low education. Brazil has many social and geographic inequalities in health. Even though educational levels are increasing, there is no improvement in the general subjective health of Brazilians. Health inequalities by race and region highlight the need to improve the health of socially disadvantaged groups in Brazil. Addressing chronic conditions and mental health is needed to improve self-perceptions of health in Brazil as well.

Individual and contextual factors associated to the self-perception of oral health in Brazilian adults

OBJECTIVE

To analyze how individual characteristics and the social context, together, are associated with self-perception of the oral health.

METHODS

A multilevel cross-sectional study with data from the Brazilian National Health Survey 2013, the United Nations Development Program, and the National Registry of Health Establishments. The explanatory variables for the “oral health perception” outcome were grouped, according to the study framework, into biological characteristics (sex, color, age), proximal social determinants (literacy, household crowding, and socioeconomic stratification), and distal (years of schooling expectancy at age 18, GINI, Human Development Index, and per capita income). The described analysis was performed, along with bivariate Poisson analysis and multilevel Poisson analysis for the construction of the explanatory model of oral health perception. All analyzes considered the sample weights.

RESULTS

Both the biological characteristics and the proximal and distal social determinants were associated with the perception of oral health in the bivariate analysis. A higher prevalence of bad oral health was associated to lower years of schooling expectancy (PR = 1.31), lower per capita income (PR = 1.45), higher income concentration (PR = 1.41), and worse human development (PR = 1.45). Inversely, oral health services in both primary and secondary care were negatively associated with oral health perception. All the biological and individual social characteristics, except reading and writing, made up the final explanatory model along with the distal social determinants of the Human Development Index and coverage of basic care in the multilevel analysis.

CONCLUSIONS

Biological factors, individual and contextual social determinants were associate synergistically with the population’s perception of oral health. It is necessary to improve individual living conditions and the implementation of public social policies to improve the oral health of the population.

Self-rated health in urban adults, perceptions of the physical and social environment, and reported comorbidities: The BH Health Study

This study assesses the prevalence of poor self-rated health and investigates its association with individual and environmental characteristics in adults with and without reported morbidity. A household survey assessed 4,048 adults in two districts of Belo Horizonte, Minas Gerais State, Brazil. We used Poisson regression with robust variance stratified by the presence of reported morbidity. Prevalence of poor self-rated health was 29.9% (42.6% in those with morbidity and 13.1% in the group without morbidity). All assessed domains were associated with self-rated health in subjects with reported morbidity. In the group without reported morbidity, the following were associated with self-rated health: social environment, socio-demographic factors, lifestyle, and psychological health. Perceived problems in the environment were associated with poor self-rated health in both groups, even after hierarchical adjustment. The results suggest the importance of investigating self-rated health stratified by reported morbidity and reinforce the need to include variables that characterize the physical and social environment.

Individual and neighbourhood social capital and all-cause mortality in Brazilian adults: a prospective multilevel study

OBJECTIVE

The relationship between social capital and mortality is not clear-cut. There have been few longitudinal studies investigating this association so far. The objective was to assess the effect of different dimensions of social capital on mortality among adults of a Brazilian city.

STUDY DESIGN

This is a prospective multilevel study. Baseline data were obtained from a population-based random sample of 846 adults (aged 18 years or more) residing in 38 neighbourhoods (census blocks).

METHODS

Participants were interviewed in 2006-7 and their vital status investigated in 2013. Social capital was assessed by five scales (social cohesion, informal social control, neighbours' support, social action and political efficacy). The outcome was all-cause mortality. Data analysis used multilevel logistic regression models.

RESULTS

At the individual level social cohesion was positively related to mortality in the unadjusted model but this association lost significance after adjustment for other variables in multivariable models. At the neighbourhood level, high mortality rates were associated with low social action independently of demographic, socio-economic, behavioural and health-related variables.

CONCLUSION

We found more evidence for a contextual than individual level effect of social capital on mortality.

Social, economic, and behavioral variables associated with oral health-related quality of life among Brazilian adults

The aim of this study was to investigate the association between sociodemographic, socioeconomic, psychosocial, and behavioral variables and oral health as assessed using the 14-question short version of the Oral Health Impact Profile (OHIP-14). A cross-sectional study was performed with 1095 adult residents from 38 census tracts in the municipality of São Leopoldo, State of Rio Grande do Sul, Brazil. Responses to the OHIP-14 were dichotomized, and bivariate (Chi-square) and multivariate analysis (logistic regression and Wald's test) were performed. In the bivariate analysis, the worse effects were reported by female individuals, the elderly, those with low family income, less schooling, those reporting a lower quality of life and social support, and smokers. In the multivariate analysis the following variables maintained their statistical significance: gender (female), age (50-59 years), family income (low), quality of life (low), social support (low, moderate), and smoking (smokers). Individuals' self-perception of their oral health was related to sociodemographic, socioeconomic, psychosocial, and behavioral variables, thus confirming that emphasis should be placed on social factors when addressing oral health problems.

Multilevel analysis of self-perception in oral health and associated factors in Southern Brazilian adults: a cross-sectional study

The aim of this study was to evaluate the association between individual and contextual variables related to self-perception in oral health among residents in the municipality of São Leopoldo, Rio Grande do Sul State, Brazil. The cross-sectional design involved 1,100 adults in 38 census tracts. The self-perception was evaluated using the Oral Health Impact Profile (OHIP-14) tool. A logistic multilevel analysis was performed. The multivariate analysis revealed that those who are of the female gender, older, with lower scores of quality of life and less social support, with poor healthy eating habits, smokers and those living in low-income census tracts presented higher odds of reporting worse oral health self-perception (OHIP-1). We concluded that individual and contextual variables are associated with oral health self-perception. This is essential information for planning health services wishing to meet the health needs of the population.

[Self-rated health in adults: influence of poverty and income inequality in the area of residence]

OBJECTIVE

To evaluate the influence of income inequality and poverty in the towns of Bogotá, Colombia, on poor self-rated health among their residents.

METHODS

The study was based on a multipurpose survey applied in Bogotá-Colombia. A hierarchical data structure (individuals=level1, locations=level 2) was used to define a logit-type multilevel logistic model. The dependent variable was self-perceived poor health, and local variables were income inequality and poverty. All analyses were controlled for socio-demographic variables and stratified by sex.

RESULTS

The prevalence of self-reported fair or poor health in the study population was 23.2%. Women showed a greater risk of ill health, as well as men and women with a low educational level, older persons, those without work in the last week and persons affiliated to the subsidized health system. The highest levels of poverty in the city increased the risk of poor health. Cross-level interactions showed that young women and men with a low education level were the most affected by income inequality in the locality.

CONCLUSIONS

In Bogotá, there are geographical differences in the perception of health. Higher rates of poverty and income inequality were associated with an increased risk of self-perceived poor health. Notable findings were the large health inequalities at the individual and local levels.

The association of neighbourhood and individual social capital with consistent self-rated health: a longitudinal study in Brazilian pregnant and postpartum women

BACKGROUND

Social conditions, social relationships and neighbourhood environment, the components of social capital, are important determinants of health. The objective of this study was to investigate the association of neighbourhood and individual social capital with consistent self-rated health in women between the first trimester of pregnancy and six months postpartum.

METHODS

A multilevel cohort study in 34 neighbourhoods was performed on 685 Brazilian women recruited at antenatal units in two cities in the State of Rio de Janeiro, Brazil. Self-rated health (SRH) was assessed in the 1st trimester of pregnancy (baseline) and six months after childbirth (follow-up). The participants were divided into two groups: 1. Good SRH--good SRH at baseline and follow-up, and, 2. Poor SRH--poor SRH at baseline and follow-up. Exploratory variables collected at baseline included neighbourhood social capital (neighbourhood-level variable), individual social capital (social support and social networks), demographic and socioeconomic characteristics, health-related behaviours and self-reported diseases. A hierarchical binomial multilevel analysis was performed to test the association between neighbourhood and individual social capital and SRH, adjusted for covariates.

RESULTS

The Good SRH group reported higher scores of social support and social networks than the Poor SRH group. Although low neighbourhood social capital was associated with poor SRH in crude analysis, the association was not significant when individual socio-demographic variables were included in the model. In the final model, women reporting poor SRH both at baseline and follow-up had lower levels of social support (positive social interaction) [OR 0.82 (95% CI: 0.73-0.90)] and a lower likelihood of friendship social networks [OR 0.61 (95% CI: 0.37-0.99)] than the Good SRH group. The characteristics that remained associated with poor SRH were low level of schooling, Black and Brown ethnicity, more children, urinary infection and water plumbing outside the house.

CONCLUSIONS

Low individual social capital during pregnancy, considered here as social support and social network, was independently associated with poor SRH in women whereas neighbourhood social capital did not affect women's SRH during pregnancy and the months thereafter. From pregnancy and up to six months postpartum, the effect of individual social capital explained better the consistency of SRH over time than neighbourhood social capital.

Self-perceived health status in older adults: regional and sociodemographic inequalities in Spain

OBJECTIVE

To assess regional and sociodemographic differences in self-perceived health status among older adults.

METHODS

A face-to-face quality of life survey was conducted in a representative sample of the Spanish population comprising 1,106 non-institutionalized elderly aged 60 or more in 2008. Logistic regression models were used to explain self-perceived health status according to the EuroQol Group Visual Analogue Scale (EQ-VAS). Independent variables included sociodemographic and health characteristics as well as the nomenclature of territorial units for statistics level 1 (NUTS1: group of autonomous regions) and level 2 (NUTS 2: autonomous regions).

RESULTS

Younger and better off respondents were more likely to have a positive self-perceived health status. Having no chronic conditions, independence in performing daily living activities and lower level of depression were also associated with positive self-perceived health status. People living in the south of Spain showed a more negative self-perceived health status than those living in other regions.

CONCLUSION

The study results point to health inequality among Spanish older adults of lower socioeconomic condition and living in the south of Spain. The analysis by geographic units allows for international cross-regional comparisons.