Evidence map›Paper›PMID 41323924›Full record

ReviewFrontiers in psychology2025

Association among family and domestic violence, sleep disturbance, anxiety, suicidal and self-harm ideation: a chained mediation modeling analysis.

Chenyu Yan, Yueping Song, Siyuan Liu, Wannian Liang

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chenyu Yan *Vanke School of Public Health, Tsinghua University, Beijing, China.
Yueping Song *Population Development Studies Center, School of Population and Health, Renmin University of China, Beijing, China.
Siyuan LiuPopulation Development Studies Center, School of Population and Health, Renmin University of China, Beijing, China.
Wannian LiangInstitute for Healthy China, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Family and domestic violence (FDV) is closely related to suicidal and self-harm ideation (SSI), but the research in this regard is insufficient in China. Methods: Based on the data from the 2022 Psychology and Behavior Investigation of Chinese Residents, this study used the Generalized Structural Equation Modeling (GSEM) to focus on examining three key aspects: (1) the prevalence of Family and Domestic Violence (FDV) and Suicidal and Self-Harm Ideation (SSI) among the Chinese population; (2) the impact of FDV on SSI, as well as the sequential mediating pathway formed through sleep disturbance and anxiety; (3) the differences in the aforementioned associations across gender and age dimensions. Results: The research findings indicate that approximately 44% of the participants have experienced FDV, and 25% of the participants have SSI. FDV significantly increases the risk of SSI (1.267, Discussion: Based on nationwide residents' psychological survey data, this study identified the high prevalence of FDV and SSI among the Chinese population as well as their significant association. It also verified the sequential mediating mechanism of sleep disturbance and anxiety between the two, providing new evidence for understanding the harmful pathway of FDV on mental health. Meanwhile, the gender and age differences found in the study suggest that subsequent interventions need to develop targeted strategies based on population characteristics.

Indexed as

family and domestic violencegender differencesself-harmsleep disturbancesuicidal ideation

Identifiers

PMID41323924
PMCPMC12661117

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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.