ArticleAfrican health sciences2020
Socio-demographic predictors of gender inequality among heterosexual couples expecting a child in south-central Uganda.
Article in African health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Barriers and Facilitators to Implementing a Digital Adherence Technology for Tuberculosis Treatment Supervision in Uganda: Qualitative Study.Journal of medical Internet research · 2023Article
- Women's experiences of maternal and newborn health care services and support systems in Buikwe District, Uganda: A qualitative study.PloS one · 2021Article
- Twenty years ofAfrican health sciences · 2020Article
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Authors and funding
8 authors at 1 institution in 1 country.
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Abstract
backgroundGender inequality is a pervasive problem in sub-Saharan Africa, and has negative effects on health and development.
objectiveHere, we sought to identify socioeconomic predictors of gender inequality (measured by low decision-making power and high acceptance of intimate partner violence) within heterosexual couples expecting a child in south-central Uganda.
methodWe used data from a two-arm cluster randomized controlled HIV self-testing intervention trial conducted in three antenatal clinics in south-central Uganda among 1,618 enrolled women and 1,198 male partners. Analysis included Cochran Mantel-Haenzel, proportional odds models, logistic regression, and generalized linear mixed model framework to account for site-level clustering.
resultsOverall, we found that 31.1% of men had high acceptance of IPV, and 15.9% of women had low decision-making power. We found religion, education, HIV status, age, and marital status to significantly predict gender equality. Specifically, we observed lower gender equality among Catholics, those with lower education, those who were married, HIV positive women, and older women.
conclusionBy better understanding the prevalence and predictors of gender inequality, this knowledge will allow us to better target interventions (increasing education, reducing HIV prevalence in women, targeting interventions different religions and married couples) to decrease inequalities and improve health care delivery to underserved populations in Uganda.
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