Evidence map›Paper›PMID 39495727›Full record

ArticlePloS one2024

Adaptation of the G-NORM (Gender norms scale) in Uganda: An examination of how gender norms are associated with reproductive health decision-making.

Erica Sedlander, Rachel Granovsky, Catherine Birabwa, Dinah Amongin, Ronald Wasswa, Nadia Diamond-Smith, Peter Waiswa, Kelsey Holt, Jeffrey B Bingenheimer

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Article in PloS one, 2024. 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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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Erica SedlanderDepartment of Social and Behavioral Sciences, Institute for Health and Aging, University of California San Francisco, San Francisco, CA, United States of America.ORCID 0000-0002-5128-669X
Rachel GranovskyDepartment of Social and Behavioral Sciences, Institute for Health and Aging, University of California San Francisco, San Francisco, CA, United States of America.
Catherine BirabwaDepartment of Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda.
Dinah AmonginDepartment of Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda.
Ronald WasswaDepartment of Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda.
Nadia Diamond-SmithDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America.
Peter WaiswaDepartment of Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda.
Kelsey HoltDepartment of Family and Community Medicine, University of California San Francisco, San Francisco, CA, United States of America.
Jeffrey B BingenheimerDepartment of Prevention and Community Health, George Washington University, Washington, DC, United States of America.

Funding

Gates Foundation INV-009958
6 · The paper itself

Abstract

backgroundRestrictive gender norms exacerbate health inequalities all over the world. More specifically, they prevent women from seeking preventive health services, constrain women's economic empowerment, and are associated with reproductive health decision making. Gender norms, a subset of social norms, are dynamic and change over time. However, we lack data on how they are changing and how these changes affect health outcomes because current measures do not adequately capture the complex concept of gender norms.

methodsWe originally developed and validated a gender norms scale, the G-NORM, in India. In this study, using cross-sectional data, we adapted the G-NORM from Southeast Asia (India and Nepal) to sub-Saharan Africa (Uganda) in four steps: 1. Formulation of new scale items (via qualitative analysis) 2. Cognitive Interviewing 3. Questionnaire Administration (n = 2422 women of reproductive age) and 4. Psychometric analysis (Confirmatory Factor Analysis).

resultsLike the original scale, descriptive norms and injunctive norms comprised two unique sub scales with high Cronbach's alphas (.80 & .92). Average scores differed depending on the type of norm suggesting that some gender norms are changing faster than others. Specifically, more equitable injunctive norms were associated with lower odds of partner-dominated contraceptive decision making but descriptive norms were not.

conclusionsGender norms serve as a multi-faceted determinant of health and wellbeing and require measurement tools which account for their conceptual complexity. Validating the G-NORM in Uganda expands measurement options for researchers in the sub-Saharan African region working to change norms to reduce health inequalities or to understand the gender normative context before beginning a study.

Indexed as

Decision MakingReproductive HealthSocial NormsAdolescentAdultCross-Sectional StudiesFemaleGender IdentityHumansMaleMiddle AgedPsychometricsSurveys and QuestionnairesUgandaYoung Adult

Identifiers

PMID39495727
PMCPMC11534242

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