Evidence map›Paper›PMID 41182375›Full record

ArticleEuropean child & adolescent psychiatry2026

Transitions into and out of child maltreatment: differential effects on depressive symptoms and gender differences.

Hayun Jang, Angelina R Sutin, Jinho Kim

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Article in European child & adolescent psychiatry, 2026. 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

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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.

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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.

Hayun JangDepartment of Health Policy and Management, Korea University, Room 367, B-dong Hana-Science Building 145, Anam-ro, Seongbuk-gu, Seoul, Republic of Korea.
Angelina R SutinCollege of Medicine, Florida State University, Tallahassee, FL, USA.
Jinho KimDepartment of Health Policy and Management, Korea University, Room 367, B-dong Hana-Science Building 145, Anam-ro, Seongbuk-gu, Seoul, Republic of Korea. jinho_kim@korea.ac.kr.

Funding

National Research Foundation of Korea NRF-2024S1A5B5A19044071
6 · The paper itself

Abstract

Despite well-established evidence on the mental health consequences of child maltreatment, prior research is limited by the assumption that changes in maltreatment status have symmetrical impacts. This study investigated the association between child maltreatment and depressive symptoms, distinguishing transitions into and out of abuse and neglect. Potential gender differences were also examined. This study used six waves of longitudinal data from the nationally representative Korean Children and Youth Panel Survey 2010 (KCYPS 2010), which included students from three cohorts (Grades 1, 4, and 7). Based on transition variables measured as changes in exposure to maltreatment between survey waves, we employed a novel asymmetric fixed effects model to estimate the individual effects of transitioning into and out of maltreatment, accounting for time-invariant, unobserved individual-level heterogeneity. Gender-stratified and gender interaction models were employed to examine potential differences between boys and girls. The effect of transitions into abuse was larger in magnitude than that of transitions out of abuse but not statistically significant. Similarly, no significant asymmetry was observed for neglect. Gender analyses revealed that asymmetric effects of maltreatment were significant only for abuse among girls: the effect of transitions into abuse was greater in magnitude than that of transitions out of abuse. Moreover, the effect of transitions into abuse was more pronounced for girls compared to boys. The findings highlight the need for gender-specific interventions to address the mental health challenges associated with maltreatment. In addition to supporting victims of maltreatment, developing preventive measures-particularly tailored for girls-may prove highly effective.

Indexed as

Child AbuseDepressionAdolescentChildFemaleHumansLongitudinal StudiesMaleRepublic of KoreaSex FactorsAbuseAsymmetric effectsChild maltreatmentDepressive symptomsGenderMental healthNeglect

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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.