Evidence map›Paper›PMID 38997623›Full record

ArticleBMC geriatrics2024

Childhood intra- and extra-familial maltreatment and later-life trajectories of depressive symptoms: evidence from China.

Tingshuai Ge, Yixiao Liu, Qing Han, Xinfeng Cheng, Quanbao Jiang

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. 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
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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

2 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

5 authors.

Tingshuai GeSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Yixiao LiuSchool of Public Policy and Administration, Center for Public Economy & Public Policy, Chongqing University, Chongqing, China.
Qing HanSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Xinfeng ChengSchool of Economics and Management, Xi'an Technological University, Xi'an, China.
Quanbao JiangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China. recluse_jqb@126.com.

Funding

China Postdoctoral Science Foundation 2023M732807National Social Science Fund of China 22BRK007National Social Science Fund of China 23XRK001
6 · The paper itself

Abstract

backgroundBoth late-life depression and childhood maltreatment have become major global public health issues, given their prevalence and social-economic and health consequences. However, previous studies have solely focused on the relationship of childhood maltreatment to average levels of depressive symptoms. The current study addresses this gap of knowledge by simultaneously examining the impacts of childhood intra- and extra-familial maltreatment on age trajectories of depressive symptoms in later life in the Chinese context.

methodsHierarchical linear models were applied to data from the China Health and Retirement Longitudinal Study (2011-2018, N = 12,669 individuals aged 45 to 80, comprising N = 43,348 person-years). Depressive symptoms were measured by the CES-D-10 scale. Childhood intra-familial maltreatments were measured by physical abuse and emotional neglect, while extra-familial maltreatment was measured by peer bullying. All analyses were conducted separately by gender in Stata 16.

resultsChildhood extrafamilial peer bullying (β = 1.628, p < 0.001), and intrafamilial physical abuse (β = 0.746, p < 0.001) and emotional neglect (β = 0.880, p < 0.001) were associated with higher later-life depressive symptoms levels in the whole sample. Peer bullying differences in depressive symptoms widened with age for both men and women. Physical abuse differences in depressive symptoms remained stable over the life course among men but increased among women. Emotional neglect differences in depressive symptoms decreased with age among men, while it increased first and then decreased among women.

conclusionsFindings in this study suggest that childhood maltreatment is not only associated with later-life poorer mental health but contributes to increasing inequalities in mental health as people age, especially among peer-bullying victims and women.

Indexed as

DepressionAgedAged, 80 and overBullyingChild AbuseChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedChildhood maltreatmentChinaDepressive symptomsMiddle-aged and older adultsTrajectories

Identifiers

PMID38997623
PMCPMC11241985

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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.