Abstract
BackgroundSelf-rated health (SRH) - one of the most common health indicators used to verify health conditions - can be influenced by several types of socioeconomic conditions, thereby reflecting health inequalities. This study aimed to evaluate the participant profiles regarding the association between self-rated health and social and occupational characteristics of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).MethodsCross-sectional design, including 11,305 individuals. Self-rated health was categorized as good, fair, and poor. The relationship between socio-demographic, psychosocial work environment, health-related variables, and self-rated health was analyzed by multiple correspondence analysis (stratified by age: up to 49 years old and 50 years old or more).ResultsFor both age strata, group composition was influenced by socioeconomic conditions. Poor SRH was related to lower socioeconomic conditions, being women, black self-declared race/ethnicity, being non-married/non-united, low decision authority, low skill discretion, and obesity.ConclusionTo promote health, interventions should focus on reducing existing socioeconomic, race, and gender inequalities in Brazil.
Highlights
Self-rated health (SRH) - one of the most common health indicators used to verify health conditions can be influenced by several types of socioeconomic conditions, thereby reflecting health inequalities
The aim of this study was to evaluate participant profiles regarding the association of self-rated health and social and occupational characteristics in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), using the multiple correspondence analysis technique
To conclude, our study reinforces the relevance of the non-dichotomization of self-rated health
Summary
Self-rated health (SRH) - one of the most common health indicators used to verify health conditions can be influenced by several types of socioeconomic conditions, thereby reflecting health inequalities. Lopes de Oliveira et al BMC Public Health (2021) 21:1761 imbalance between work and social life influence negatively on self-rated health. All of these factors are related in a complex way to self-rated health, and it is important to verify how these relationships are influenced by the existing inequalities in Brazil and how they are associated with health in the working population. The large majority of studies have been using regression or multilevel models [8, 12, 13] Another way to examine this, which pays more attention to exploring and explaining relationships between categorical indicators, is through multiple correspondence analysis. The advantage of this statistical method is the absence of any assumption about probability distributions and the lack of need to establish predetermined relations among the variables
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