Evidence map›Paper›PMID 40723745›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Factors Influencing Formal and Informal Help-Seeking Behavior Among Battered Chinese Women in Beijing, Shanghai, Guangzhou, and Shenzhen.

Ting Zhang, Guan Ren, Hongxi Ge, Huan Zhang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ting ZhangSchool of Government, Beijing Normal University, 19 Xinjiekou Wai St., Beijing 100875, China.
Guan RenSchool of Government, Beijing Normal University, 19 Xinjiekou Wai St., Beijing 100875, China.ORCID 0009-0007-7953-8960
Hongxi GeSchool of Government, Beijing Normal University, 19 Xinjiekou Wai St., Beijing 100875, China.ORCID 0009-0008-8067-5863
Huan ZhangSchool of Government, Beijing Normal University, 19 Xinjiekou Wai St., Beijing 100875, China.ORCID 0000-0002-7284-235X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates how demographic characteristics, severity of intimate partner violence (IPV), social support, gender equality awareness, and demographic factors (e.g., living with children at home) influence help-seeking behaviors among 2527 IPV-experienced women in Beijing, Shanghai, Guangzhou, and Shenzhen. Drawing on the help-seeking model and conservation of resource theory, the study distinguishes between formal (e.g., police, legal aid) and informal (e.g., family, friends) help-seeking. Logistic regression results reveal that greater violence severity, stronger perceived social support, and higher gender equality awareness significantly increase both formal and informal help-seeking. Notably, living with children is associated with a higher likelihood of seeking formal help, possibly due to increased concerns for children's safety and the desire to change the abusive environment. While help-seeking behavior is on the rise overall, particularly among women with strong support networks and progressive gender attitudes, structural and cultural barriers remain. The findings underscore the need to improve public education, reduce stigma, and enhance accessibility of support systems. This study contributes to the growing literature on IPV in China and provides evidence for refining policy interventions and service delivery.

Indexed as

battered Chinese womenformal and informalgender equality awarenesshelp-seeking behaviorsseverity of violencesocial support

Identifiers

PMID40723745
PMCPMC12292836

What OpenQuestion holds

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Registered trials

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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.