How is smoking distributed in relation to socioeconomic status? Evidence from Brazil in the years 2013 and 2019.

The present study aimed to analyze income-related inequality in tobacco consumption in Brazil using data from the National Health Survey at two points in time (2013 and 2019). This study contributes to the growing literature analyzing socioeconomic inequalities in tobacco use by investigating income-related inequalities in the consumption of different tobacco products in Brazil. The inequality measure is the concentration index with an Erreygers correction (EI), and the analysis of its decomposition allows the identification of the factors that determine such inequality. There is inequality in smoking concentrated in the poorest persons, and this pattern also occurs for manufactured cigarettes and roll-your-own cigarettes (RYO), while inequality in smoking cessation is concentrated among the wealthiest. Smoking inequalities were greater in men, older age groups, and RYO. In terms of evolution, the overall results indicated a small decline in smoking inequality. For the decomposition analysis, the results show that the main factors that affect tobacco inequality in terms of concentration in the poorest are education, income, and having private health insurance. The region variable, by contrast, has a positive contribution, since the wealthiest regions have individuals who are more likely to smoke. These results have important implications that serve as a basis for formulating public health policies. For example, greater inequalities for men and older individuals can be targeted by public policies with a special focus on these cases.

Income-related inequality and inequity in children's health care: A longitudinal analysis using data from Brazil.

The Brazilian Unified Health System was created in the late 1980s to ensure free universal access to health care and was funded by taxes and social contributions. The persistent inequity in access to health services in favour of richer individuals in Brazil has been observed in the literature. However, to the best of our knowledge, no measurement of inequality in medicine use or private health insurance (PHI) among children has been performed with longitudinal data. This paper uses inequality indices and their decompositions to analyse the income-related inequalities/inequities in children's health care in the city of Pelotas, Brazil, using longitudinal data following children from 12 to 72 months of age. Our sample with data in all waves has between 1877 and 2638 children (varying according to outcome). We seek to answer three questions: i) How does the inequality/inequity in health care evolve as children grow up? ii) What are the main factors associated with inequality in children's health care? iii) How much of the change in inequality/inequity is explained by mobility in children's health care and income mobility? We found that inequities in health care have their beginnings in early childhood but that there was a reduction in inequity at 72 months of age. Ownership of children's PHI was associated with greater pro-rich inequity in health care. The reduction in inequality/inequity was linked to mobility in the sense that initially poorer children had greater gains in health care (a greater increase in PHI ownership and a lower reduction in medicine use). Despite this improvement among the poorest, apparently, the Brazilian public health service seems to fail to ensure equity in health care use among children, with possible long-term consequences on inequalities in health.