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Social and Demographic Predictors of Gender Inequality Among Heterosexual Couples Expecting a Child in Central Kenya.
Vrana-Diaz, Caroline J; Korte, Jeffrey E; Gebregziabher, Mulugeta; Richey, Lauren; Selassie, Anbesaw; Sweat, Michael; Gichangi, Anthony.
Afiliação
  • Vrana-Diaz CJ; Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Suite 303, Charleston, SC 29425, USA.
  • Korte JE; Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Suite 303, Charleston, SC 29425, USA.
  • Gebregziabher M; Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Suite 303, Charleston, SC 29425, USA.
  • Richey L; Section of Infectious Disease, Department of Medicine, Louisiana State University Health Sciences Center, 1542 Tulane Avenue, Suite 331, New Orleans, LA 70112, USA.
  • Selassie A; Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Suite 303, Charleston, SC 29425, USA.
  • Sweat M; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, 176 Croghan Spur Road, Suite 104, Charleston, SC 29407, USA.
  • Gichangi A; Jhpiego, Ring Road, Arlington block, Nairobi, Kenya.
Glob Soc Welf ; 2019 Jan 11.
Article em En | MEDLINE | ID: mdl-33399300
Imbalance of power and equality in sexual relationships is linked to health in various ways, including (1) reduced ability to get information or take action, (2) increased violence between partners, and (3) influence on the reduced use of health services. While there has been research assessing multiple social and economic variables related to gender inequality, studies have used many different definitions of gender inequality, and there is a lack of this research within a pregnancy context. Here, we attempt to identify social and economic predictors of gender inequality (measured by decision-making power and acceptance of intimate partner violence) within heterosexual couples expecting a child in central Kenya. We ran a secondary data analysis using data from a three-arm individually randomized controlled HIV self-testing intervention trial conducted in 14 antenatal clinics in central and eastern Kenya among 1410 women and their male partners. The analysis included Cochran Mantel-Haenszel, logistic regression, proportional odds models, and generalized linear mixed model (GLMM) framework to account for site-level clustering. Overall, we show that there are significant social and economic variables associated with acceptance of intimate partner violence including higher age, being married, "other" religion, lower partner education, higher wealth status, and variables associated with decision-making power including lower partner education and lack of equality in earnings. This study contributes to the literature on the influence of social and economic factors on gender inequality, especially in Kenya which has a high burden of HIV/AIDS. Our results show some areas to improve these specific factors (including education and employment opportunities) or create interventions for targeted populations to potentially improve gender equality in heterosexual pregnant couples in Kenya.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Idioma: En Revista: Glob Soc Welf Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Idioma: En Revista: Glob Soc Welf Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça