Evidence map›Paper›PMID 39487425›Full record

ArticleBMC public health2024

Association between adverse childhood experiences and the risk of developing chronic headache in Chinese individuals: a RCSCD-TCM study in China evidence from a national survey.

Hong Lu, Daiqiang Huang, Hegao Yu, Cuiyin Li, Shuangshuang Wen, Dizhou Zhao

Abstract read
In one paragraph

Article in BMC public health, 2024. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hong LuThe Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Daiqiang HuangDepartment of Anesthesiology, Shenzhen People's Hospital, The Second Clinical Medical College, The First Affiliated Hospital, Jinan University, Southern University of Science and Technology, Shenzhen, China.
Hegao YuThe Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Cuiyin LiThe Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Shuangshuang WenThe Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Dizhou ZhaoDepartment of Anesthesiology, Shenzhen People's Hospital, The Second Clinical Medical College, The First Affiliated Hospital, Jinan University, Southern University of Science and Technology, Shenzhen, China. zhaodizhou@mzxy4.wecom.work.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic headache (CH) is a widespread problem in clinical practice. The causes of the disease are very complex and varied, including organic, functional and even psychogenic causes. Adverse childhood experiences (ACEs) are related to several psychogenic neurological disorders. However, whether the number of ACEs is associated with the risk of developing CH has not been well established. Therefore, in this study, we aimed to identify the association between the number of ACEs and the risk of developing CH in the general population using a Chinese national survey.

methodsParticipants who reported experiencing headache in two consecutive waves of investigation from the China Health and Retirement Longitudinal Study (CHARLS) were defined as having CH and were included in this study. The life history information of the participants was then matched. Twelve types of ACEs were identified from the life history information. The participants were divided into four classes according to the number of ACEs. The association between the number of ACEs and the risk of developing CH was analysed using logistic regression.

resultsA total of 654 (14.77%) of 4427 participants were defined as CH within 9 years of the survey. After adjusting for various confounding factors, compared to that associated with Class 1 (ACEs = 0), the OR for CH associated with Class 3 (ACEs = 2) was 1.68 (95% CI: 1.30-2.19), P < 0.001 and the OR for CH associated with Class 4 (ACEs > 2) was 2.62 (95% CI:2.04-3.38),P < 0.001. Further analysis of different types of ACEs demonstrated that physical abuse, household mental illness and five other types of ACEs were associated with the risk of developing CH.

conclusionsExposure to ACEs was associated with a greater risk of developing CH, indicating the importance of early intervention for individuals with ACEs to mitigate the detrimental impact of ACEs on CH and to promote health.

Indexed as

Adverse Childhood ExperiencesHeadache DisordersAdultAgedChinaFemaleHealth SurveysHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsAdverse childhood experiencesCHARLSChronic headache

Identifiers

PMID39487425
PMCPMC11529305

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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.