摘要：OBJECTIVE:To analyze cause-specific mortality rates according to the relativeincome hypothesis.METHODS:All 96 administrative areas of the city of São Paulo, southeasternBrazil, were divided into two groups based on the Gini coefficient of incomeinequality: high (≥0.25) and low (<0.25). The propensity score matchingmethod was applied to control for confounders associated with socioeconomicdifferences among areas.RESULTS:The difference between high and low income inequality areas wasstatistically 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 (3.58per 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 for72.30% of the mortality difference. Infant mortality also had significantlyhigher age-adjusted rates in high inequality areas (2.80 per 10,000 [95%CI0.86;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 inmore unequal areas. Studies on income inequality in smaller areas should takeproper accounting of heterogeneity of social and demographic characteristics.
其他摘要：OBJECTIVE:To analyze cause-specific mortality rates according to the relativeincome hypothesis.METHODS:All 96 administrative areas of the city of São Paulo, southeasternBrazil, were divided into two groups based on the Gini coefficient of incomeinequality: high (≥0.25) and low (<0.25). The propensity score matchingmethod was applied to control for confounders associated with socioeconomicdifferences among areas.RESULTS:The difference between high and low income inequality areas wasstatistically 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 (3.58per 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 for72.30% of the mortality difference. Infant mortality also had significantlyhigher age-adjusted rates in high inequality areas (2.80 per 10,000 [95%CI0.86;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 inmore unequal areas. Studies on income inequality in smaller areas should takeproper accounting of heterogeneity of social and demographic characteristics.
关键词：Mortality; Cause of Death; Income; Health Inequalities; Social Inequity.
其他关键词：Mortality; Cause of Death; Income; Health Inequalities; Social Inequity.
