Evidence map›Paper›PMID 33554659›Full record

ArticleJournal of health and social behavior2021

Women's Political Leadership and Adult Health: Evidence from Rural and Urban China.

Hongwei Xu, Nancy Luke, Susan E Short

Abstract read
In one paragraph

Article in Journal of health and social behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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.

Hongwei XuQueens College-CUNY, Queens, NY, USA.ORCID 0000-0001-9227-8904
Nancy LukePennsylvania State University, State College, PA, USA.
Susan E ShortBrown University, Providence, RI, USA.

Funding

Population Research InstituteR24HD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI HARDY, MELISSA ANN · 2001 to 2016
$9.7M
The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI ZHENCHAO QIAN · 2016 to 2026
$7.6M
Spatial Analysis CoreR24HD041020 · NICHD · BROWN UNIVERSITY · PI FOSTER, ANDREW D. · 2001 to 2016
$7.4M
NICHD NIH HHS P2C HD041020NICHD NIH HHS P2C HD041025NICHD NIH HHS R24 HD041020NICHD NIH HHS R24 HD041025
6 · The paper itself

Abstract

This study examined the role of women's political leadership at the community level in China, a context that has experienced recent political and socioeconomic change and has a distinctive rural-urban divide. Drawing on longitudinal data from the China Family Panel Studies (N range = 40,918-52,406 person-year observations), we found that female community directors outnumbered male directors in urban China but were much less common in rural areas. Female community directors had higher levels of human capital regardless of rural or urban location. Residents living in female-directed communities reported better mental health but not physical health or life satisfaction compared to those living in male-directed communities, and this association was most robust among rural women. For rural women, the mental health benefit of living in female-directed communities was partially explained by reduced personal experience of gender discrimination, suggesting that female leadership fosters ideational change toward women that lowers discriminatory behaviors among constituents.

Indexed as

LeadershipRural PopulationAdultChinaFemaleHumansMaleMental HealthSocioeconomic FactorsUrban Populationadult healthChinacommunitygender discriminationpolitical leadership

Identifiers

PMID33554659
PMCPMC8452383

What OpenQuestion holds

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Registered trials

None linked

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.