Gender and health inequalities among adolescents and adults in Brazil, 1998. 2007

Rita Barradas Barata, and Márcia Furquim de Almeida, and Cláudia Valencia Montero, and Zilda Pereira da Silva
Social Medicine Department, Santa Casa de São Paulo Medical School, São Paulo, Brazil.

OBJECTIVE To assess the extent of gender inequalities in health status and health services utilization among adolescents and adults in Brazil. METHODS A representative sample of 217,248 individuals from 15 to 64 years of age was obtained from the National Household Sample Survey (Pesquisa Nacional de Amostras por Domicílios, PNAD) conducted in 1998 by the Brazilian Institute of Geography and Statistics and funded by the Ministry of Health. The study focused on three outcome variables (self-assessed health status, medical visits, and hospitalizations (except childbirth)) and five exposure variables (age, gender, ethnicity, income, and education). Unconditional logistic regression and Mantel-Haenszel stratified analysis was employed. Prevalence rate ratios were calculated for each stratum. Confidence intervals were calculated using the Taylor series, with a 95% confidence interval (95% CI). RESULTS Women were more likely to report fair or poor health than men (odds ratio (OR) = 1.33; 95% CI: 1.31-1.35). Gender disparities were significant for all ages, household income brackets, and education levels, and were always unfavorable to women (1.17 < or = OR < or = 1.44). Gender disparities for medical visits were higher for those in good health; tended to fall as age, income, and education increased; and were always favorable for women (1.12 < or = OR < or = 2.06). Gender disparities in hospitalization rates decreased with age, varied according to income and education level in each age group, and were always favorable for women (1.16 < or = OR < or = 1.66). CONCLUSIONS The difference in self-reported health status for men and women became even greater after adjusting for socioeconomic variables, suggesting that poorer women have more pronounced, relative differences than men do. The impact of structural determinants, such as education and income, is considerably smaller than the social construct of gender, although the former are more important predictors. Women use health services more often than men do, which is consistent with their health needs. However, medical visit rates show an inverse relationship to health care needs, suggesting an inequitable access to outpatient care, mainly preventive care.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D001938 Brazil A country located on the eastern coast of South America, located between Colombia and Peru, that borders the Atlantic Ocean. It is bordered on the north by Venezuela, Guyana, Suriname, and French Guiana, on the south by Uruguay, and on the west by Argentina. The capital is Brasilia.
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D012737 Sex Factors Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances. Factor, Sex,Factors, Sex,Sex Factor
D054624 Health Status Disparities Variation in rates of disease occurrence and disabilities between population groups defined by various factors including socioeconomic characteristics (see SOCIOECONOMIC DISPARITIES IN HEALTH), age, ethnicity, economic resources, or gender and populations identified geographically or similar measures. Health Status Disparity,Disparity, Health Status

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