Evidence map›Paper›PMID 39661591›Full record

ArticlePloS one2024

The role of community-level men's and women's inequitable gender norms on women's empowerment in India: A multilevel analysis using India's National Family Health Survey-5.

Lakshmi Gopalakrishnan, Alison El Ayadi, Nadia Diamond-Smith

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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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lakshmi GopalakrishnanInstitute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, United States of America.ORCID 0000-0003-3226-9090
Alison El AyadiDepartment of Obstetrics and Gynecology, University of California, San Francisco, San Francisco, CA, United States of America.
Nadia Diamond-SmithInstitute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower empowerment of women is a critical social issue with adverse public health implications. In India, deeply ingrained gender norms shape a patriarchal structure that creates systemic disadvantages for women relative to men. These gender norms-socially constructed expectations about the roles, behaviors, and attributes of men and women-perpetuate inequality and limit women's opportunities.

objectivesThe aim of this study was to examine the association between community-level men's and women's gender norms on women's empowerment in India. Women's empowerment was defined using four measures: freedom of movement, decision-making power, economic empowerment, and health empowerment.

methodsUsing a nationally representative demographic health survey data from 2019-21 of 63,112 married women who participated in the women's empowerment module and 101,839 men surveyed, we constructed community-level men's and women's inequitable gender norms variables as our independent variable using attitudes towards wife-beating questions. We used random effects logistic regression models to examine if community-level men's and women's inequitable gender norms were independently associated with the different dimensions of women's empowerment.

resultsOne standard deviation increase in community-level men's and women's inequitable gender norms was associated with reduced odds of freedom of movement, decision-making power, and health empowerment. No statistically significant association was observed between community-level men's and women's gender norms and economic empowerment.

conclusionInequitable gender norms are a risk factor that is negatively associated with several dimensions of women's empowerment. Our findings support our hypotheses that women's empowerment is impacted separately by men's and women's gender norms. Our study underscores the pressing need for concerted efforts to challenge and transform inequitable gender norms, paving the way for achieving gender equality and women's empowerment, as envisioned by the Sustainable Development Goals.

Indexed as

EmpowermentAdolescentAdultDecision MakingFemaleGender IdentityHealth SurveysHumansIndiaMaleMiddle AgedMultilevel AnalysisPower, PsychologicalSocial NormsSocioeconomic FactorsWomen's Rights

Identifiers

PMID39661591
PMCPMC11633985

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.