Prevalence, Patterns, and Nomogram Model of Intimate Partner Violence Against Mothers During the Child-Rearing Stage: A Family System Analysis in China for Targeted Prevention Strategies

家庭暴力 冲突战术量表 分娩 心理学 毒物控制 背景(考古学) 发展心理学 医学 临床心理学 自杀预防 怀孕 环境卫生 地理 遗传学 生物 考古
作者
Li Chen,Hong Pan,Hangfei Qian,Keke Chen,Wenqian Jian,Mengting Wang,Zheng Fei-zhong
出处
期刊:Journal of Interpersonal Violence [SAGE Publishing]
标识
DOI:10.1177/08862605241307628
摘要

Intimate partner violence (IPV) is a significant public health issue affecting many women worldwide. While extensive research exists on IPV during pregnancy and postpartum, there is limited information on IPV against mothers during the critical child-rearing stage, specifically the first three years following childbirth. This study examines the prevalence and patterns of IPV among mothers in China during this stage, identifying associated factors across four family subsystems: individual, husband-and-wife, mother-child, and family context, to guide the development of tailored prevention strategies. This study involved 1,099 Chinese mothers, surveyed within the first three years postpartum, through purposive sampling. The revised Conflict Tactics Scale (CTS2) was utilized to evaluate IPV, while a comprehensive questionnaire gathered data on potential risk and protective factors within the four family subsystems. Chi-square tests and lasso regression analyses were used to identify significant independent risk factors, which were used to construct nomograms of IPV among mothers during the critical child-rearing stage. The nomogram’s discrimination, calibration, clinical applicability, and generalizability were evaluated using receiver operating characteristic curves (ROC), calibration curves, decision curve analysis (DCA), and internal validation. Approximately 30% of mothers had experienced IPV within three years postpartum, with psychological violence being the most common. Three main patterns of IPV were identified, with multiple forms of violence often co-occurring. Significant risk factors for IPV included age at childbirth, attachment styles, marital issues, marital stability, feeding choices, maternal sense of parenting competence, support from friends, and family stress events. A nomogram model was developed to identify associated factors of IPV, demonstrating good performance. This model integrates factors from individual, spousal, mother-child, and family context subsystems, providing a comprehensive approach to understanding and preventing IPV during the critical child-rearing stage. The high prevalence of IPV underscores the urgent need for targeted prevention strategies to support mothers during this vulnerable period.
最长约 10秒,即可获得该文献文件

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
Rainor完成签到,获得积分10
刚刚
传奇3的应助被一只奇怪的鸟采纳,获得10
刚刚
1秒前
scisci发布了新的文献求助10
1秒前
2秒前
雪霁梅香完成签到,获得积分10
2秒前
朴实无华完成签到,获得积分10
3秒前
棒棒糖发布了新的文献求助10
4秒前
sjn发布了新的文献求助10
4秒前
4秒前
zzzz发布了新的文献求助30
5秒前
酱子完成签到 ,获得积分10
6秒前
max完成签到 ,获得积分10
6秒前
7秒前
我是老大的应助被x_采纳,获得10
7秒前
音游诗人完成签到,获得积分10
8秒前
yzm发布了新的文献求助10
8秒前
9秒前
9秒前
顾矜的应助被雨霖采纳,获得10
9秒前
笋尖鱼发布了新的文献求助10
10秒前
清秀的芳完成签到,获得积分10
10秒前
10秒前
无奈夏菡完成签到 ,获得积分10
10秒前
嗯呢发布了新的文献求助20
11秒前
11秒前
FTT发布了新的文献求助10
11秒前
13秒前
小二郎的应助被热心盼波采纳,获得20
13秒前
冯尔蓝发布了新的文献求助10
13秒前
13秒前
13秒前
雪宝宝发布了新的文献求助10
14秒前
14秒前
14秒前
Maestro_S的应助被wave采纳,获得10
14秒前
青予完成签到,获得积分10
14秒前
0b3cura完成签到,获得积分10
14秒前
张伟的应助被Mikupants采纳,获得10
15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
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 1080
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
Cellulose and Cellulose Derivatives: Synthesis, Modification and Applications 600
Experimentelle und numerische Modellierung des dynamischen Trag- und Verformungsverhaltens von hochflexiblen Schutzsystemen gegen Steinschlag 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 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8149255
求助须知:如何正确求助?哪些是违规求助? 9546699
关于积分的说明 21676806
捐赠科研通 7736367
什么是DOI,文献DOI怎么找? 3424016
关于科研通互助平台的介绍 2549094
邀请新用户注册赠送积分活动 2467191