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
Akim应助MonMon采纳,获得10
1秒前
王羊补牢完成签到,获得积分10
1秒前
2秒前
科目三应助eth采纳,获得30
3秒前
彼岸完成签到,获得积分10
4秒前
高丽娜完成签到,获得积分10
5秒前
远鹤完成签到 ,获得积分10
6秒前
6秒前
乐乐应助福星高照采纳,获得10
6秒前
可爱邓邓完成签到 ,获得积分10
6秒前
eve完成签到,获得积分10
7秒前
7秒前
浮曳发布了新的文献求助10
7秒前
张哈哈发布了新的文献求助10
7秒前
wu发布了新的文献求助10
9秒前
好货分享发布了新的文献求助10
9秒前
高丽娜发布了新的文献求助10
10秒前
小蘑菇应助勤劳的夏槐采纳,获得10
11秒前
无限梦松完成签到,获得积分10
13秒前
13秒前
benlaron完成签到 ,获得积分10
14秒前
浮曳完成签到,获得积分10
16秒前
16秒前
18秒前
18秒前
18秒前
19秒前
19秒前
Ywffffff完成签到 ,获得积分10
20秒前
落寞土豆完成签到,获得积分10
21秒前
那儿完成签到,获得积分10
22秒前
杜文彦发布了新的文献求助10
22秒前
险胜发布了新的文献求助20
22秒前
eth发布了新的文献求助30
23秒前
wangmomo1983发布了新的文献求助10
23秒前
23秒前
23秒前
Tsing发布了新的文献求助10
23秒前
23秒前
24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
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Petrology and Plate Tectonics 800
Matrix Methods in Data Mining and Pattern Recognition 540
Interactions of Vowel Quality and Prosody in East Slavic 500
Vander's Renal Physiology第10版 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 7053828
求助须知:如何正确求助?哪些是违规求助? 8717945
关于积分的说明 18456916
捐赠科研通 6573591
什么是DOI,文献DOI怎么找? 3121117
关于科研通互助平台的介绍 2210612
邀请新用户注册赠送积分活动 2096812