The impact of adverse childhood experiences on adult physical, mental health, and abuse behaviors: A sex-stratified nationwide latent class analysis in Japan

潜在类模型 童年不良经历 心理健康 精神科 身体虐待 儿童期虐待 心理学 医学 临床心理学 性虐待 环境卫生 自杀预防 毒物控制 数学 统计
作者
Tomoya Hirai,Kosuke Hagiwara,Chong Chen,Ryo Okubo,Fumihiro Higuchi,Toshio Matsubara,Masahito Takahashi,Shin Nakagawa,Takahiro Tabuchi
出处
期刊:Journal of Affective Disorders [Elsevier BV]
标识
DOI:10.1016/j.jad.2024.10.074
摘要

Adverse childhood experiences (ACEs) have been reported to detrimentally impact physical and mental health. While experiencing multiple ACEs is common, previous research primarily assessed ACEs by their total count, neglecting the impacts of different experience types. Furthermore, sex-based differences in ACEs and their influences remain unclear. This study employed Latent Class Analysis (LCA) to uncover patterns of ACEs with consideration for sex differences, aiming to elucidate their effects on adult physical and mental health. A geographically nationally representative dataset from the "Japan COVID-19 and Society Internet Study (JACSIS)" conducted in 2022 was used. 13,715 men and 14,327 women retrospectively reported their experiences across fifteen ACEs. The analysis revealed four distinct ACE patterns for both sexes: a Multiple Adversities class with a wide range of severe ACEs, a Psychological Abuse class experiencing emotional abuse at home and bullying at school, a Poverty class facing economic hardships, and a Low Adversities class with the fewest ACEs. Multinomial logistic regression analysis indicated that more severe patterns of exposure correlated with heightened adverse adult outcomes. However, the extent of these impacts varied by sex and ACE pattern. For instance, men in Multiple Adversities and Psychological Abuse classes exhibited higher tendencies towards conducting physical and psychological abuse behaviors. While ACEs in men were linked to both underweight (in cases of psychological abuse) and obesity (across all classes), women with ACEs generally leaned towards higher body weight. These findings highlight the importance of developing support strategies sensitive to sex differences and the specific content of ACEs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
molihuakai应助SJK采纳,获得10
刚刚
刚刚
am900skp完成签到,获得积分10
1秒前
1秒前
樊振东发布了新的文献求助10
1秒前
机智访琴发布了新的文献求助10
2秒前
2秒前
张张zzz完成签到,获得积分20
2秒前
2秒前
linqi发布了新的文献求助10
2秒前
4秒前
lb完成签到,获得积分10
5秒前
5秒前
张张zzz发布了新的文献求助10
5秒前
nidehulu完成签到,获得积分10
7秒前
小霸王完成签到,获得积分10
7秒前
9秒前
9秒前
安详完成签到,获得积分10
10秒前
开朗孤兰完成签到,获得积分10
10秒前
10秒前
SJK发布了新的文献求助10
10秒前
10秒前
11秒前
12秒前
hhhhhhan616发布了新的文献求助10
12秒前
科目三应助橙裕安采纳,获得10
13秒前
hdc12138完成签到,获得积分10
14秒前
14秒前
18261384109完成签到,获得积分10
14秒前
机智访琴完成签到,获得积分10
14秒前
rrr发布了新的文献求助10
14秒前
今后应助在九月采纳,获得10
15秒前
英俊的铭应助在九月采纳,获得10
15秒前
无花果应助在九月采纳,获得10
15秒前
香蕉觅云应助阎冷雁采纳,获得10
15秒前
15秒前
李李李发布了新的文献求助10
15秒前
18秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Bend stiffness of submarine cables – an experimental and numerical investigation 5000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7539854
求助须知:如何正确求助?哪些是违规求助? 9124271
关于积分的说明 19492785
捐赠科研通 7136772
什么是DOI,文献DOI怎么找? 3258012
关于科研通互助平台的介绍 2425237
邀请新用户注册赠送积分活动 2246032