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
1秒前
1秒前
芒果完成签到,获得积分10
3秒前
似宁发布了新的文献求助10
5秒前
Jeneration完成签到 ,获得积分10
6秒前
零度空间发布了新的文献求助10
10秒前
11秒前
星辰大海应助似宁采纳,获得10
12秒前
现代的花卷完成签到,获得积分10
12秒前
庄冬丽完成签到,获得积分10
13秒前
14秒前
英俊的铭应助科研通管家采纳,获得10
14秒前
orixero应助科研通管家采纳,获得10
14秒前
Hanif5329完成签到,获得积分10
14秒前
科目三应助科研通管家采纳,获得10
14秒前
qiaoxuebo完成签到,获得积分10
14秒前
14秒前
15秒前
科目三应助科研通管家采纳,获得10
15秒前
科目三应助Camellia采纳,获得10
15秒前
共享精神应助科研通管家采纳,获得10
15秒前
初景应助科研通管家采纳,获得10
15秒前
初景应助科研通管家采纳,获得20
15秒前
英姑应助科研通管家采纳,获得10
15秒前
奶酪完成签到 ,获得积分10
15秒前
16秒前
16秒前
16秒前
小二郎应助科研通管家采纳,获得10
16秒前
慕青应助科研通管家采纳,获得10
16秒前
16秒前
bocheng发布了新的文献求助10
18秒前
bocheng发布了新的文献求助10
18秒前
18秒前
18秒前
bocheng发布了新的文献求助10
18秒前
倒霉兔子完成签到,获得积分0
20秒前
dio完成签到,获得积分10
21秒前
bocheng发布了新的文献求助10
21秒前
bocheng发布了新的文献求助10
21秒前
高分求助中
(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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 500
Transdermal drug delivery systems market size report 500
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 7641909
求助须知:如何正确求助?哪些是违规求助? 9215051
关于积分的说明 19767467
捐赠科研通 7207446
什么是DOI,文献DOI怎么找? 3276277
关于科研通互助平台的介绍 2438062
邀请新用户注册赠送积分活动 2274035