Evidence map›Paper›PMID 39543558›Full record

ArticleBMC public health2024

The associations between adverse childhood experiences and body pain among middle-aged and older adults: findings from China.

Shang Lou, Ziyue Sheng, Weidi Sun, Chenhao Zhang, Wenhan Xiao, Siyu Zhu, Jiajun Hao, Jiali Zhou, Peige Song

Erratum issuedAbstract read
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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Shang LouCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China.
Ziyue ShengCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China.
Weidi SunCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China.
Chenhao ZhangCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China.
Wenhan XiaoCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China.
Siyu ZhuCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China.
Jiajun HaoCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China.
Jiali ZhouCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China.
Peige SongCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China. peigesong@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdverse Childhood Experiences (ACEs) have been implicated in the development of body pain, yet research on their impact on body pain and its progression remains scarce. This study aimed to examine the associations between ACEs and the presence and areas of body pain, as well as their developmental trajectories among middle-aged and older Chinese adults.

methodsWe included participants aged 45 years and above from the China Health and Retirement Longitudinal Study (CHARLS) conducted between 2011 and 2018. Retrospective data on ACEs and pain sites were collected with questionnaires. The presence of pain at different body sites was categorized into three areas: head & neck, trunk, and limbs. ACEs consisted of ten types of adverse experiences and were cumulatively scored. For the cross-sectional analysis (2011), logistic regressions were performed to estimate the associations between ACEs and pain presence in specific areas. In the longitudinal analysis (2011-2018), we further applied group-based trajectory modelling (GBTM) to determine the developmental trajectories of body pain. Multinomial logistic regressions were then conducted to estimate the associations between ACEs and pain trajectories.

resultsIn the cross-sectional analysis (n = 8157), ACEs were positively associated with the presence of pain in the head & neck (odds ratio [OR] = 3.55, 95% confidence intervals [CI] = 2.37-4.74), trunk (OR = 3.28, 95% CI = 2.47-4.34), and limbs areas (OR = 2.30, 95% CI = 1.77-3.00) compared to no ACEs. These associations varied by sex and residence. In the longitudinal analysis (n = 5188), GBTM identified three developmental trajectories of body pain (n = 9521): high-increasing (7.44%), low-moderate (33.67%) and maintained-low trajectories (58.89%) trajectories. Compared to participants without ACEs, individuals had three ACEs and 4 or more ACEs were consistently associated with low-moderate (three ACEs: OR = 2.26, 95% CI = 1.81-2.83, four or more ACEs: OR = 3.11, 95% CI = 2.51-3.87) and high-increasing (three ACEs: OR = 3.28, 95% CI = 2.03-5.30, four or more ACEs: OR = 6.78, 95% CI = 4.30-10.68) body pain trajectories across sexes and residence.

conclusionThis study highlighted the significant association between ACEs and body pain among middle-aged and older Chinese, emphasizing the importance of preventing or mitigating ACEs as a strategy for the prevention and management of body pain.

Indexed as

Adverse Childhood ExperiencesPainAgedChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedRetrospective StudiesSurveys and QuestionnairesAdverse childhood experiencesBody painMiddle-aged and older adultsTrajectory

Identifiers

PMID39543558
PMCPMC11562079

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.