Infant mortality in Brazil, 1980-2000: A spatial panel data analysis

Background: Infant mortality is an important measure of human development, related to the level of welfare of a society. In order to inform public policy, various studies have tried to identify the factors that influence, at an aggregated level, infant mortality. The objective of this paper is to analyze the regional pattern of infant mortality in Brazil, evaluating the effect of infrastructure, socio-economic, and demographic variables to understand its distribution across the country. Methods: Regressions including socio-economic and living conditions variables are conducted in a structure of panel data. More specifically, a spatial panel data model with fixed effects and a spatial error autocorrelation structure is used to help to solve spatial dependence problems. The use of a spatial modeling approach takes into account the potential presence of spillovers between neighboring spatial units. The spatial units considered are Minimum Comparable Areas, defined to provide a consistent definition across Census years. Data are drawn from the 1980, 1991 and 2000 Census of Brazil, and from data collected by the Ministry of Health (DATASUS). In order to identify the influence of health care infrastructure, variables related to the number of public and private hospitals are included. Results: The results indicate that the panel model with spatial effects provides the best fit to the data. The analysis confirms that the provision of health care infrastructure and social policy measures (e. g. improving education attainment) are linked to reduced rates of infant mortality. An original finding concerns the role of spatial effects in the analysis of IMR. Spillover effects associated with health infrastructure and water and sanitation facilities imply that there are regional benefits beyond the unit of analysis. Conclusions: A spatial modeling approach is important to produce reliable estimates in the analysis of panel IMR data. Substantively, this paper contributes to our understanding of the physical and social factors that influence IMR in the case of a developing country.

Income inequality and elderly self-rated health in Sao Paulo, Brazil

Purpose: To test the association between income inequality and elderly self-rated health and to propose a pathway to explain the relationship. Methods: We analyzed a sample of 2143 older individuals (60 years of age and over) from 49 distritos of the Municipality of Sao Paulo, Brazil. Bayesian multilevel logistic models were performed with poor self-rated health as the outcome variable. Results: Income inequality (measured by the Gini coefficient) was found to be associated with poor self-rated health after controlling for age, sex, income and education (odds ratio, 1.19; 95% credible interval, 1.01-1.38). When the practice of physical exercise and homicide rate were added to the model, the Gini coefficient lost its statistical significance (P>.05). We fitted a structural equation model in which income inequality affects elderly health by a pathway mediated by violence and practice of physical exercise. Conclusions: The health of older individuals may be highly susceptible to the socioeconomic environment of residence, specifically to the local distribution of income. We propose that this association may be mediated by fear of violence and lack of physical activity. (C) 2012 Elsevier Inc. All rights reserved.

Relationship Between Oral Health-Related Quality of Life, Oral Health, Socioeconomic, and General Health Factors in Elderly Brazilians

Objectives To assess the impact of oral health on quality of life in elderly Brazilians and to evaluate its association with clinical oral health measures and socioeconomic and general health factors. Design Cross-sectional study. Setting Population-based cohort study on health, well-being, and aging. Participants Eight hundred fifty-seven participants representing 588,384 community-dwelling elderly adults from the city of Sao Paulo, Brazil. MeasurementS Self-perceived impact of oral health on quality of life was measured using the Geriatric Oral Health Assessment Index (GOHAI), with scores categorized as good, moderate, or poor, indicating low, moderate, and high degrees of negative impact on quality of life, respectively. Results Nearly half of the individuals had good GOHAI scores (44.7% of overall sample, 45.9% of dentate participants, and 43.4% of edentulous participants). In the overall sample, those with poor self-rated general health and a need for dental prostheses were more likely to have poor and moderate GOHAI scores. Individuals with depression were significantly more likely to have poor GOHAI scores. No socioeconomic variables were related to the outcome, except self-perception of sufficient income, which was a protective factor against a poor GOHAI score in dentate participants. Conclusion Moderate and high degrees of negative impact of oral health on quality of life were associated with general health and clinical oral health measures, independent of socioeconomic factors.

Men's health: a population-based study on social inequalities

This study evaluates social inequalities in health according to level of schooling in the male population. This was a cross-sectional, population-based study with a sample of 449 men ranging from 20 to 59 years of age and living in Campinas, Sao Paulo State, Brazil. The chi-square test was used to verify associations, and a Poisson regression model was used to estimate crude and adjusted prevalence ratios. Men with less schooling showed higher rates of alcohol consumption and dependence, smoking, sedentary lifestyle during leisure time, and less healthy eating habits, in addition to higher prevalence of bad or very bad self-rated health, at least one chronic disease, hypertension, and other health problems. No differences were detected between the two schooling strata in terms of use of health services, except for dental services. The findings point to social inequality in health-related behaviors and in some health status indicators. However, possible equity was observed in the use of nearly all types of health services.

Cause-specific mortality and income inequality in Sao Paulo, Brazil

OBJECTIVE: To analyze cause-specifi c mortality rates according to the relative income hypothesis. METHODS: All 96 administrative areas of the city of Sao Paulo, southeastern Brazil, were divided into two groups based on the Gini coefficient of income inequality: high (>= 0.25) and low (<0.25). The propensity score matching method was applied to control for confounders associated with socioeconomic differences among areas. RESULTS: The difference between high and low income inequality areas was statistically significant for homicide (8.57 per 10,000; 95% CI: 2.60; 14.53); ischemic heart disease (5.47 per 10,000 [95% CI 0.76; 10.17]); HIV/AIDS (3.58 per 10,000 [95% CI 0.58; 6.57]); and respiratory diseases (3.56 per 10,000 [95% CI 0.18; 6.94]). The ten most common causes of death accounted for 72.30% of the mortality difference. Infant mortality also had signifi cantly higher age-adjusted rates in high inequality areas (2.80 per 10,000 [95% CI 0.86; 4.74]), as well as among males (27.37 per 10,000 [95% CI 6.19; 48.55]) and females (15.07 per 10,000 [95% CI 3.65; 26.48]). CONCLUSIONS: The study results support the relative income hypothesis. After propensity score matching cause-specifi c mortality rates was higher in more unequal areas. Studies on income inequality in smaller areas should take proper accounting of heterogeneity of social and demographic characteristics.

Antenatal depression strongly predicts postnatal depression in primary health care

Objective: To estimate the association between antenatal and postnatal depression and to examine the role of socioeconomic conditions in the risk of postnatal depression. Methods: A prospective cohort study, conducted between May 2005 and January 2006, with 831 pregnant women recruited from primary care clinics in the public sector in the city of Sao Paulo, Brazil. The presence of antenatal and postnatal depression was measured with the Self Report Questionnaire (SRQ-20). Sociodemographic and socioeconomic characteristics and obstetric information were obtained through a questionnaire. Crude and adjusted risk ratios (RR), with 95% CI, were calculated using a Poisson regression. Results: The prevalence of postnatal depressive symptoms was 31.2% (95% CI: 27.8-34.8%). Among the 219 mothers who had depressive symptoms, nearly 50% had already shown depressive symptoms during pregnancy. Women who had antenatal depression were 2.4 times more likely to present with postnatal depression than were women who did not have such symptoms during pregnancy. In the multivariate analysis, higher scores for assets (RR: 0.76, 95% CI 0.61-0.96), higher education (RR: 0.75 95% CI 0.59-0.96), daily contact with neighbors (RR: 0.68, 95% CI 0.51-0.90) and antenatal depression (RR: 2.44, 95% CI 1.93-3.08) remained independently associated with postnatal depression. Conclusions: Antenatal and postnatal depression are highly prevalent in the primary care setting.

Household income, sex and respiratory mortality in Sao Paulo, Brazil, 1996-2010

SETTING: Respiratory mortality rates are declining in several countries, including Brazil; however, the effect of socio-economic indicators and sex is unclear. OBJECTIVE: To identify differences in mortality trends according to income and sex in the city of Sao Paulo, Brazil. DESIGN: We performed a time-trend analysis of all respiratory diseases, including chronic obstructive pulmonary disease (COPD), lung cancer and tuberculosis, using Joinpoint regression comparing high, middle and low household income levels from 1996 to 2010. RESULTS: The annual per cent change (APC) and 95% confidence intervals (95%CIs) for death rates from all respiratory disease in men in high-income areas was -1.1 (95%CI -2.7 to 0.5) in 1996-2002 and -4.3 (95%CI -5.9 to -2.8) in 2003-2009. In middle- and low-income areas, the decline was respectively -1.5 (95%CI -2.2 to -0.7) and -1.4 (95%CI -1.9 to -0.8). For women, the APC declined in high-income (-1.0, 95%CI -1.9 to -0.2) and low-income areas (0.8, 95%CI -1.3 to -0.2), but not in middle-income areas (-0.5, 95%CI -1.4 to 0.3) from 1996 to 2010. CONCLUSION: Death rates due to COPD and all respiratory disease declined more consistently in men from high-income areas. Mortality due to lung cancer decreased in men, but increased in women in middle- and low-income areas.

Propensity score matching approach to test the association of income inequality and mortality in Sao Paulo, Brazil

Background Support for the adverse effect of high income inequality on population health has come from studies that focus on larger areas, such as the US states, while studies at smaller geographical areas (eg, neighbourhoods) have found mixed results. Methods We used propensity score matching to examine the relationship between income inequality and mortality rates across 96 neighbourhoods (distritos) of the municipality of Sao Paulo, Brazil. Results Prior to matching, higher income inequality distritos (Gini >= 0.25) had slightly lower overall mortality rates (2.23 per 10 000, 95% CI -23.92 to 19.46) compared to lower income inequality areas (Gini <0.25). After propensity score matching, higher inequality was associated with a statistically significant higher mortality rate (41.58 per 10 000, 95% CI 8.85 to 73.3). Conclusion In Sao Paulo, the more egalitarian communities are among some of the poorest, with the worst health profiles. Propensity score matching was used to avoid inappropriate comparisons between the health status of unequal (but wealthy) neighbourhoods versus equal (but poor) neighbourhoods. Our methods suggest that, with proper accounting of heterogeneity between areas, income inequality is associated with worse population health in Sao Paulo.

The Role of Keratinized Mucosa in Peri-Implant Health

Objective: To evaluate the role of keratinized mucosa around dental implants, correlating with other clinical parameters related to the success of dental implants. Design: Cross-section. Setting: Institutional tertiary referral hospital. Patients: A total of 202 dental implants fixed in the cleft area of 109 patients with cleft lip and/or palate were evaluated. Interventions: The evaluated clinical parameters were probing depth and gingival and plaque indexes on the buccal surface (three sites). Main Outcome Measures: All clinical parameters were correlated with the width of keratinized mucosa around the implants. Results: The largest probing depths were detected when the width of keratinized mucosa was 2 mm or more, with a statistically significant difference between the means of the probing depth and keratinized mucosa width. Conclusion: Even though the present results suggest that peri-implant health can be observed in areas with keratinized mucosa width under 2 mm provided an adequate oral hygiene control is performed, longitudinal randomized studies are necessary to analyze the relationship between the width of keratinized mucosa and the health of peri-implant tissues.

Oral health and access to dental care services in relation to the Health Necessities Index. Sao Paulo, Brazil, 2008

The Health Department of Sao Paulo, Brazil, has developed a Health Necessities Index (HNI) to identify priority areas for providing health assistance. In 2008, a survey of the status of oral health was conducted. The objective of this ecological study was to analyze the status of oral health in relation to the HNI. The variables, stratified by the age of 5, 12 and 15 years old were: percentage of individuals with difficulty of access to dental care services; DMFT and DMFS; prevalence of the need for tooth extraction and treatment of dental caries. Data were analyzed for the 25 Health Technical Supervision Units (HTS). The Statistical Covariance Test was used as well as the Pearson correlation coefficient and linear regression model. A positive correlation was observed between high scores of the HNI and difficulty of access to services. In the HTS with high scores of HNI a higher incidence of dental caries was observed, a greater need for tooth extractions and low caries-free incidence. In order to improve health conditions of the population it is mandatory to prioritize actions in areas of social deprivation.

Mental Disorders in Megacities: Findings from the Sao Paulo Megacity Mental Health Survey, Brazil

Background: World population growth is projected to be concentrated in megacities, with increases in social inequality and urbanization-associated stress. Sao Paulo Metropolitan Area (SPMA) provides a forewarning of the burden of mental disorders in urban settings in developing world. The aim of this study is to estimate prevalence, severity, and treatment of recently active DSM-IV mental disorders. We examined socio-demographic correlates, aspects of urban living such as internal migration, exposure to violence, and neighborhood-level social deprivation with 12-month mental disorders. Methods and Results: A representative cross-sectional household sample of 5,037 adults was interviewed face-to-face using the WHO Composite International Diagnostic Interview (CIDI), to generate diagnoses of DSM-IV mental disorders within 12 months of interview, disorder severity, and treatment. Administrative data on neighborhood social deprivation were gathered. Multiple logistic regression was used to evaluate individual and contextual correlates of disorders, severity, and treatment. Around thirty percent of respondents reported a 12-month disorder, with an even distribution across severity levels. Anxiety disorders were the most common disorders (affecting 19.9%), followed by mood (11%), impulse-control (4.3%), and substance use (3.6%) disorders. Exposure to crime was associated with all four types of disorder. Migrants had low prevalence of all four types compared to stable residents. High urbanicity was associated with impulse-control disorders and high social deprivation with substance use disorders. Vulnerable subgroups were observed: women and migrant men living in most deprived areas. Only one-third of serious cases had received treatment in the previous year. Discussion: Adults living in Sao Paulo megacity had prevalence of mental disorders at greater levels than similar surveys conducted in other areas of the world. Integration of mental health promotion and care into the rapidly expanding Brazilian primary health system should be strengthened. This strategy might become a model for poorly resourced and highly populated developing countries.

Cause-specific mortality and income inequality in São Paulo, Brazil

OBJECTIVE: To analyze cause-specific mortality rates according to the relative income hypothesis. METHODS: All 96 administrative areas of the city of São Paulo, southeastern Brazil, were divided into two groups based on the Gini coefficient of income inequality: high (>0.25) and low (<0.25). The propensity score matching method was applied to control for confounders associated with socioeconomic differences among areas. RESULTS: The difference between high and low income inequality areas was statistically significant for homicide (8.57 per 10,000; 95%CI: 2.60;14.53); ischemic heart disease (5.47 per 10,000 [95%CI 0.76;10.17]); HIV/AIDS (3.58 per 10,000 [95%CI 0.58;6.57]); and respiratory diseases (3.56 per 10,000 [95%CI 0.18;6.94]). The ten most common causes of death accounted for 72.30% of the mortality difference. Infant mortality also had significantly higher age-adjusted rates in high inequality areas (2.80 per 10,000 [95%CI 0.86;4.74]), as well as among males (27.37 per 10,000 [95%CI 6.19;48.55]) and females (15.07 per 10,000 [95%CI 3.65;26.48]). CONCLUSIONS: The study results support the relative income hypothesis. After propensity score matching cause-specific mortality rates was higher in more unequal areas. Studies on income inequality in smaller areas should take proper accounting of heterogeneity of social and demographic characteristics.