Evidence map›Paper›PMID 41179810›Full record

ArticleFrontiers in psychiatry2025

The impact of adverse childhood experiences on depression in old age: evidence from China.

Ziqiong Liu, Enlin Cao, Hua Wei

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 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

3 authors.

Ziqiong LiuSchool of Economics and Management, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Enlin CaoSchool of Finance and Public Management, Anhui University of Finance & Economics, Bengbu, Anhui, China.
Hua WeiSchool of Economics and Management, Anhui University of Chinese Medicine, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study explores the links between negative childhood experiences and depression in older adults, focusing on how pensions and offspring support influence the relationship between adverse childhood experiences (ACEs) and the mental health outcomes of the elderly. Methods: Data were obtained from the 2016, 2018, and 2020 China Longitudinal Aging Social Survey (CLASS). We used the ordinary least squares (OLS) method and moderation tests to analyze depression health outcomes. Results: Older adults with ACEs had worse mental health outcomes than those without ACEs. The ACEs of medical deficiency, parental absence, and hunger during childhood manifested as higher depression scores in old age. The heterogeneity regression results show that medical deficiency and hunger experiences have a more significant impact on the depression of elderly individuals in urban areas. In contrast, early experiences of parental absence have a greater effect on the depression of elderly individuals in rural areas. Regression results for moderating effects indicate that children's support can effectively alleviate the impact of adverse childhood experiences on the depression status of the elderly; however, pensions and the number of friends do not play a positive moderating role. Conclusion: ACEs, pension, and offspring support were independently associated with older adults' mental health problems, and the combination of ACEs and low offspring support was the most significant predictor of adverse health outcomes in old age, controlling for adult sociodemographic indicators. Enhancing supportive relationships between children and older adults may buffer the negative effects of early adversities on older adult well-being.

Indexed as

adverse childhood experiences (ACEs)depressionoffspring supportold-age pensionolder adults

Identifiers

PMID41179810
PMCPMC12573775

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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.