Evidence map›Paper›PMID 37536715›Full record

ArticleEpidemiology and health2023

Associations between adverse childhood experiences and diabetes among middle-aged and older Chinese: a social-ecological perspective.

Siyu Zhu, Leying Hou, Jiaying Ma, Shuting Li, Weidi Sun, Wen Liu, Jiajun Hao, Wenhan Xiao, Siqing Cheng, Dexing Zhang and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Epidemiology and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 19% of its field
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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it, 2 citations in OpenAlex.

  1. Association of Adverse Childhood Experiences and Metabolic Syndrome: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Pooled it
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

12 authors at 4 institutions in 2 countries.

Siyu ZhuSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Leying HouSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiaying MaSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shuting LiSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Weidi SunSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wen LiuSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiajun HaoSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wenhan XiaoSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Siqing ChengSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Dexing ZhangJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Dong ZhaoDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Peige SongSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Women's Hospital, School of Medicine, Zhejiang University · CNChinese University of Hong Kong · HKZhejiang Center for Disease Control and Prevention · CNZhejiang International Studies University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study examined the associations between adverse childhood experiences (ACEs) and diabetes within a social-ecological framework, incorporating personal and environmental unfavorable conditions during childhood from family, school, and community contexts.

methodsData were obtained from the China Health and Retirement Longitudinal Study (2014 life history survey and 2015 survey), including 9,179 participants aged ≥45 years. ACEs were collected through self-report questionnaires, and participants were categorized based on the number of distinct ACEs experienced (0, 1, 2, 3, or ≥4 ACEs). Diabetes was defined by biomarkers, self-reported diagnosis, and treatment status. Logistic regression was conducted to explore the associations between ACEs and diabetes. Subgroup analyses were conducted by gender, age, and obesity status.

resultsCompared with participants without ACEs, those exposed to any ACE (odds ratio [OR], 1.19; 95% confidence interval [CI], 1.01 to 1.40), 3 ACEs (OR, 1.32; 95% CI, 1.07 to 1.62) and ≥4 ACEs (OR, 1.29; 95% CI, 1.07 to 1.56) had an increased risk of diabetes. For each additional ACE, the risk of diabetes increased by about 5%. Regarding the source of ACEs, those originating from the family (OR, 1.23; 95% CI, 1.08 to 1.41) were associated with diabetes. In terms of specific ACE types, family members with substance abuse (OR, 1.23; 95% CI, 1.01 to 1.52), emotional abuse (OR, 1.28; 95% CI, 1.12 to 1.46), and poor parental relationship (OR, 1.25; 95% CI, 1.09 to 1.43) were associated with diabetes.

conclusionsACEs, particularly those originating from the family, were associated with diabetes. Interventions aimed at preventing and mitigating ACEs are essential for the early prevention of diabetes.

Indexed as

Adverse Childhood ExperiencesDiabetes MellitusAgedEast Asian PeopleHumansLongitudinal StudiesMiddle AgedSurveys and QuestionnairesAdverse childhood experiencesDiabetes mellitusFamily

Identifiers

PMID37536715
PMCPMC10728618
OpenAlexW4385494937

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.