[Self-rated health and social inequalities, Buenos Aires, Argentina, 2005]

Abstract

Self-rated health is a quality-of-life indicator. This study investigates the impact of individual-level and neighborhood-level socioeconomic characteristics, considered simultaneously, on the state of self-rated health at the individual level in Buenos Aires, Argentina. The study employs a two-level (individual and neighborhood) multilevel analysis, and the data sources were the 2005 Argentina National Risk Factor Survey (multistage probabilistic sample) and the 2001 Population Census. Linear regression shows that higher schooling and income, as well as occupational category, are related to better self-rated health, and increasing age with worse health. In the multilevel analysis, an increase in the proportion (per census tract) of individuals with less schooling was associated with an increase in the proportion of individuals with worse self-rated health. Improving the general health of the population requires strategies and action that reduce the levels of social inequalities in their multiple dimensions, including the individual and neighborhood levels.