Evidence map›Paper›PMID 39987259›Full record

ArticleScientific reports2025

Association between adverse childhood experiences with chronic kidney diseases in middle-aged and older adults in mainland China.

Ziyi Shen, Chengcheng Li, Yan Fang, Hongxu Chen, Yongxia Song, Junling Cui, Xin Luo, Yanchang Liu, Fei Zhong, Jingfang Hong

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Impact of adverse childhood experiences on kidney health.Pediatric nephrology (Berlin, Germany) · 2026
    Article
  6. 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

10 authors.

Ziyi Shen *School of Nursing, Anhui Medical University, No. 81 Mei Shan Road, Shu Shan District, Hefei, 230032, Anhui, China.
Chengcheng Li *School of Nursing, Anhui Medical University, No. 81 Mei Shan Road, Shu Shan District, Hefei, 230032, Anhui, China.
Yan Fang *School of Nursing, Anhui Medical University, No. 81 Mei Shan Road, Shu Shan District, Hefei, 230032, Anhui, China.
Hongxu ChenCancer Department, Fuyang Hospital, Anhui Medical University, Hefei, China.
Yongxia SongSchool of Nursing, Anhui Medical University, No. 81 Mei Shan Road, Shu Shan District, Hefei, 230032, Anhui, China.
Junling CuiSchool of Nursing, Anhui Medical University, No. 81 Mei Shan Road, Shu Shan District, Hefei, 230032, Anhui, China.
Xin LuoSchool of Nursing, Anhui Medical University, No. 81 Mei Shan Road, Shu Shan District, Hefei, 230032, Anhui, China.
Yanchang LiuSchool of Nursing, Anhui Medical University, No. 81 Mei Shan Road, Shu Shan District, Hefei, 230032, Anhui, China.
Fei ZhongCancer Department, Fuyang Hospital, Anhui Medical University, Hefei, China. zhongfei@ahmu.edu.cn.
Jingfang HongSchool of Nursing, Anhui Medical University, No. 81 Mei Shan Road, Shu Shan District, Hefei, 230032, Anhui, China. hongjingfang@ahmu.edu.cn.

Funding

National Natural Science Foundation of China 82272926Promoting scientific research cooperation and high-level talent training projects with Canada, Australia, New Zealand and Latin America of the National Scholarship Foundation (2022) 1007
6 · The paper itself

Abstract

Adverse childhood experiences (ACEs) among middle-aged and elderly individuals may influence the subsequent occurrence of chronic kidney disease (CKD). We aim to investigate the association between ACEs and CKD among the middle-aged and elderly populations in China. The prospective cohort longitudinal study examined baseline data from the China Health and Retirement Longitudinal Study (CHARLS) from June 1 to December 31, 2014. Subsequent follow-up surveys were conducted in 2015, 2018, and 2020. The study population consisted of 4063 participants aged at least 45 years, who had CKD data and information on the 16 complete ACEs indicators included in this study. Utilizing correlation analysis to explore the relationship between CKD and the total score of ACEs, as well as the three dimensions (Conventional ACEs, Expanded ACEs, and New ACEs), along with specific items. The correlation between individual ACEs, disease-related factors, and CKD was examined using binary logistic regression models. Valuable diagnostic factors were then identified through the use of ROC curves. A Cox proportional hazards regression model, with age as the timescale and ACEs groups as covariates, was established to investigate the relationship between age-related CKD occurrence and ACE groups as individuals aged. Among the 4063 participants included in the analysis, in patients with CKD, the male proportion is 85 (64.9%), and the female proportion is 46 (35.1%). Of the participants, 2332 experienced at least two Conventional ACEs, 3786 experienced at least two Expanded ACEs, and 2774 experienced at least one New ACE. Factors influencing the occurrence of CKD in participants included Conventional ACEs 5 (OR 1.742; 95% CI 1.115-2.721; P = 0.015), Conventional ACEs 6 (OR 1.581; 95% CI 1.024-2.442; P = 0.039), Conventional ACEs 9 (OR 2.190; 95% CI 1.288-3.725; P = 0.004), Expanded ACEs 3 (OR 0.195; 95% CI 0.085-0.444; P < 0.001), memory-related disease (OR 3.297; 95% CI 1.140-9.538; P = 0.028), dyslipidemia (OR 2.536; 95% CI 1.521-4.230; P < 0.001), cancer (OR 6.369; 95% CI 2.464-16.461; P < 0.001), chronic lung disease (OR 2.261; 95% CI 1.091-4.684; P = 0.028), and liver disease (OR 3.050; 95% CI 1.432-6.497; P = 0.004). These three models showed significant statistical differences in CKD, the Conventional ACEs, and the New ACEs. In Model 1, 2, and 3, the risk was higher for individuals exposed to the Conventional ACEs group, indicating an increased likelihood of developing CKD, the risk was lower for individuals exposed to the New ACEs group, suggesting a reduced likelihood of developing CKD. ROC curve analysis of these variables showed that CA5, CA6, CA9, dyslipidemia had significant diagnostic value for the occurrence of CKD. The accuracy of diagnosis was CA5 (57.0%), CA6 (58.3%), CA9 (59.4%), and dyslipidemia (59.8%). This study, through longitudinal investigation, has identified potential links between ACEs and disease-related factors with CKD. These findings can still provide assistance to clinicians and public health administrators, helping them understand the association between ACEs and CKD, and offering theoretical support for their clinical decision-making or development of public health policies.

Indexed as

Adverse Childhood ExperiencesRenal Insufficiency, ChronicAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesRisk FactorsAdverse childhood experiencesChina Health and Retirement Longitudinal StudyChronic kidney disease

Identifiers

PMID39987259
PMCPMC11847003

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.