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Estimating the impact of out-of-home placement on health risk behavior in adolescents exposed to maltreatment: An advanced causal inference approach 估计家庭外安置对受虐待青少年健康风险行为的影响:一种先进的因果推理方法。
IF 3.4 2区 心理学 Q1 FAMILY STUDIES Pub Date : 2026-01-10 DOI: 10.1016/j.chiabu.2026.107882
Austin J. Blake , Mariola Moeyaert , Felix J. Thoemmes , David Mackinnon , Laurie Chassin

Background

Youth who experience out-of-home placement (OOHP) engage in elevated health risk behaviors (e.g., substance use, unprotected sex), with risk potentially heightened for those placed during adolescence. Estimating causal effects is challenging because maltreated youth who are placed differ systematically from those who remain in-home.

Objective

This study examined the effects of adolescent OOHP on health risk behaviors, applying causal inference methods (g-estimation and inverse probability of treatment weighting; IPTW) to address selection bias and time-varying confounders.

Participants and setting

Data were drawn from 734 maltreated adolescents in the U.S. National Survey on Child and Adolescent Wellbeing.

Methods

IPTW and g-estimation were used to estimate effects of adolescent OOHP on substance use and sexual risk behavior during adolescence and into young adulthood, adjusting for numerous confounders. Results were compared with regression analyses using traditional covariate adjustment.

Results

In traditional regression models, OOHP was not significantly associated with health risk behaviors. However, both causal inference approaches revealed that OOHP predicted increased substance use later in adolescence. IPTW analyses also indicated greater sexual risk behavior in adolescence and increased substance use in adulthood among placed youth.

Conclusions

Although OOHP is intended to enhance safety, adolescent OOHP may heighten risk for harmful health behaviors. Given the severe consequences of such behaviors and the risk of losing service access in adulthood, the period following OOHP is a critical window for intervention. The results demonstrate how robust causal inference techniques may lead to more accurate assessment of OOHP than traditional regression methods.
背景:经历过家庭外安置(OOHP)的青少年从事高健康风险行为(例如,药物使用,无保护的性行为),对于那些在青春期安置的人来说,风险可能会增加。估计因果关系是具有挑战性的,因为被安置的受虐待青年与留在家中的受虐待青年在系统上是不同的。目的:本研究探讨了青少年OOHP对健康风险行为的影响,应用因果推理方法(g估计和治疗加权逆概率;IPTW)来解决选择偏差和时变混杂因素。参与者和环境:数据来自美国全国儿童和青少年健康调查中734名受虐待的青少年。方法:使用IPTW和g估计来估计青少年OOHP对青春期和青年期物质使用和性风险行为的影响,并对许多混杂因素进行调整。结果采用传统协变量调整进行回归分析比较。结果:在传统的回归模型中,OOHP与健康危险行为无显著相关。然而,两种因果推理方法都表明,OOHP预测了青春期后期物质使用的增加。IPTW的分析还表明,在被安置的青少年中,青春期的性风险行为更大,成年后的药物使用也更多。结论:虽然OOHP旨在提高安全性,但青少年OOHP可能会增加有害健康行为的风险。鉴于此类行为的严重后果以及成年后失去服务的风险,OOHP之后的时期是进行干预的关键窗口期。结果表明,稳健的因果推理技术可能比传统的回归方法更准确地评估OOHP。
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引用次数: 0
Development and validation of the children's subjective service experience scale during social service delivery in Mainland China 中国内地社会服务提供过程中儿童主观服务体验量表的编制与验证
IF 3.4 2区 心理学 Q1 FAMILY STUDIES Pub Date : 2026-01-09 DOI: 10.1016/j.chiabu.2025.107881
Fan Wu , Yiwen Yan , Rongxuan Tian , Liwen Qu , Linyun Fu

Background

Despite increasing advocacy for child-centered social services, tools for capturing children's subjective experiences remain limited, particularly in non-Western contexts.

Objective

This study aimed to develop and validate the Children's Subjective Service Experience Scale (CSSES), a multidimensional measure of children's perceptions and engagement during social service practices.

Participants

A total of 1021 students (grades 4–9, aged 9–15) from seven schools across urban and rural regions in China participated. All were recipients of a national nonprofit social service program in Mainland China.

Methods

Items were generated from a systematic literature review, expert consultation, and interviews with children. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted on two split samples (n1 = 511; n2 = 510), followed by multigroup CFA to assess measurement invariance across gender, grade level, and urban–rural residence.

Results

A 16-item, four-factor structure was identified, with two second-order dimensions: subjective experience (identity, interaction process) and intersubjective experience (expression, care ethics). Model fit was acceptable (χ2/df = 2.763, CFI = 0.923, TLI = 0.907, RMSEA = 0.059, SRMR = 0.052). The scale showed good internal consistency (Cronbach's α > 0.70 for most factors), satisfactory composite reliability (CR > 0.70), and strong measurement invariance across subgroups (ΔCFI <0.01).

Conclusions

The results demonstrate that the CSSES is a reliable and valid instrument for assessing children's subjective experiences, specifically within the context of school-based psychosocial interventions. It offers a practical tool for improving service responsiveness, promoting child agency, and informing child-centered intervention design.
尽管越来越多的人提倡以儿童为中心的社会服务,但捕捉儿童主观体验的工具仍然有限,特别是在非西方国家。目的开发和验证儿童主观服务体验量表(cses),该量表是衡量儿童在社会服务实践中的感知和参与的多维尺度。来自中国城乡七所学校的1021名学生(4-9年级,9-15岁)参加了比赛。他们都是中国大陆一个国家非营利社会服务项目的接受者。方法通过系统的文献回顾、专家咨询和儿童访谈生成问卷。对两个分裂样本(n1 = 511; n2 = 510)进行探索性因子分析(EFA)和验证性因子分析(CFA),然后进行多组CFA分析,以评估性别、年级水平和城乡居住之间的测量不变性。结果确定了一个16项的四因素结构,包括两个二级维度:主观体验(身份、互动过程)和主体间体验(表达、护理伦理)。模型拟合可接受(χ2/df = 2.763, CFI = 0.923, TLI = 0.907, RMSEA = 0.059, SRMR = 0.052)。量表具有良好的内部一致性(大多数因子的Cronbach′s α >; 0.70),令人满意的复合信度(CR > 0.70),以及较强的亚组测量不变性(ΔCFI <0.01)。结论本研究结果表明,cses是评估儿童主观体验的一种可靠和有效的工具,特别是在以学校为基础的社会心理干预的背景下。它为提高服务响应能力、促进儿童代理和为以儿童为中心的干预设计提供了一个实用的工具。
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引用次数: 0
Long-term exposure to intimate partner violence and adolescents' internalizing symptoms: A repeated measures latent profile analysis 长期接触亲密伴侣暴力与青少年内化症状:重复测量潜在特征分析
IF 3.4 2区 心理学 Q1 FAMILY STUDIES Pub Date : 2026-01-08 DOI: 10.1016/j.chiabu.2025.107880
Yafan Chen , Lauren Manley-Sayin , Susan Yoon

Background

Prior research shows that exposure to intimate partner violence (eIPV) impedes child well-being throughout the lifespan. However, it has often failed to capture the timing and chronicity of eIPV in adolescents.

Objective

This study explored the longitudinal profiles of children's eIPV from the prenatal stage to age 9 and the associations between the profiles and adolescent internalizing symptoms at age 15.

Participants and setting

The sample was 1495 adolescents from the Future of Families and Child Wellbeing Study, a national longitudinal birth cohort study investigating the well-being of unmarried parents and their children in the US.

Methods

Repeated measures latent profile analysis was employed to identify the longitudinal profiles of children's eIPV. Then, pairwise comparisons of three internalizing outcomes were conducted to examine the associations between adolescents' eIPV patterns and internalizing symptoms.

Results

Three profiles were identified: 89.8 % stable low eIPV, 6.2 % early eIPV with a peak in toddlerhood, and 4.0 % frequent eIPV at school age. Adolescents who were exposed to IPV in childhood reported worse internalizing symptoms than those having low eIPV over time, with small effect sizes (ranging from 0.23 to 0.31).

Conclusions

This study employed a person-centered approach to explore children's longitudinal profile of eIPV, considering both the timing and chronicity of exposure. The findings highlight the necessity of prevention efforts to reduce eIPV, particularly in early childhood. Interventions targeting internalizing symptoms among adolescents should assess the youth's history of eIPV and incorporate strategies to address associated trauma.
先前的研究表明,接触亲密伴侣暴力(eIPV)会影响儿童一生的健康。然而,它往往未能捕捉到青少年发生eIPV的时间和慢性。目的探讨儿童从产前到9岁的eIPV的纵向特征及其与15岁青少年内化症状的关系。参与者和背景样本是1495名青少年,他们来自“未来家庭和儿童健康研究”,这是一项全国性的纵向出生队列研究,旨在调查美国未婚父母及其子女的健康状况。方法采用重复测量潜型分析,确定儿童eIPV的纵向特征。然后,对三种内化结果进行两两比较,以检验青少年eIPV模式与内化症状之间的关系。结果有三种类型:89.8%为稳定的低水平eIPV, 6.2%为早期eIPV(在幼儿期达到高峰),4.0%为学龄期频繁eIPV。随着时间的推移,童年时期暴露于IPV的青少年报告的内化症状比那些低epv的青少年更严重,效应量较小(范围从0.23到0.31)。结论本研究采用以人为中心的方法,在考虑暴露时间和慢性的情况下,探讨儿童对eppv的纵向分布。研究结果强调了预防工作的必要性,以减少eIPV,特别是在幼儿期。针对青少年内化症状的干预措施应评估青少年的eIPV病史,并纳入处理相关创伤的策略。
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引用次数: 0
Childhood emotional maltreatment predicts subsequent psychological distress in emerging adulthood through increased worry: Resilience conferred by self-compassion 童年时期的情感虐待通过增加担忧预示着成年初期的心理困扰:自我同情带来的韧性
IF 3.4 2区 心理学 Q1 FAMILY STUDIES Pub Date : 2026-01-08 DOI: 10.1016/j.chiabu.2025.107879
Qinglu Wu , Nan Zhou , Hongjian Cao

Background

Associations between childhood emotional maltreatment (CEM) and psychological distress (e.g., depressive and anxiety symptoms) have been widely demonstrated. However, the underlying mechanisms for such associations involving adaptive and maladaptive emotion regulation (ER) strategies are still underexplored.

Objectives

Based on the Emotion Regulation Theory, the present study investigated the potential mediating roles of the avoidance-based (i.e., worry) and the acceptance-based (i.e., self-compassion) ER strategies in the associations of two types of CEM (threat: emotional abuse; deprivation: emotional neglect) with depressive and anxiety symptoms and the potential moderating role of self-compassion in such associations.

Methods

Three-wave, self-report survey data were collected from 668 Chinese college students (66.8 % female, Mage = 19.96 years old, SD = 1.25) with a 6-month between-wave interval.

Results

Childhood emotional abuse was positively associated with depressive and anxiety symptoms through increased worry. Self-compassion moderated the associations of worry with depressive and anxiety symptoms and these positive associations were identified only when self-compassion was low. Further, the indirect pathways from emotional abuse to depressive and anxiety symptoms through increased worry were significant only when self-compassion was low. No medaiting effects involving emotional neglect or self-compassion were identified.

Conclusions

Cognitive avoidance-based ER strategy served as a mediator to transmit the deterimental effect of early emotional abuse on later mental health, whereas acceptance-based ER strategy moderated the negative effect. Accordingly, interventions aimed at reducing psychological distress among individuals with experiences of childhood emotional abuse should consider incoporating components that enhacne self-compassion and reduce worry.
儿童时期的情绪虐待(CEM)与心理困扰(如抑郁和焦虑症状)之间的关联已被广泛证实。然而,涉及适应性和非适应性情绪调节(ER)策略的这种关联的潜在机制仍未得到充分探讨。目的基于情绪调节理论,探讨基于回避(即担忧)和基于接受(即自我同情)的内情策略在威胁:情绪虐待、剥夺:情绪忽视两种类型的情绪管理与抑郁、焦虑症状的关联中的潜在中介作用,以及自我同情在这种关联中的潜在调节作用。方法对668名中国大学生进行三波自我报告调查,其中女性占66.8%,年龄19.96岁,SD = 1.25,两波间隔为6个月。结果儿童情绪虐待与抑郁、焦虑症状呈正相关。自我同情减缓了担忧与抑郁和焦虑症状的关联,这些积极关联仅在自我同情较低时才被发现。此外,从情绪虐待到抑郁和焦虑症状,通过增加担忧的间接途径只有在自我同情低时才显著。没有发现涉及情绪忽视或自我同情的冥想效果。结论基于认知回避的ER策略在早期情绪虐待对后期心理健康的决定效应中起中介作用,而基于接受的ER策略在其负向效应中起调节作用。因此,旨在减少有童年情感虐待经历的个体心理困扰的干预措施应考虑纳入增强自我同情和减少担忧的成分。
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引用次数: 0
A longitudinal study of adverse childhood experiences and discrimination in adulthood 童年不良经历和成年期歧视的纵向研究
IF 3.4 2区 心理学 Q1 FAMILY STUDIES Pub Date : 2026-01-08 DOI: 10.1016/j.chiabu.2026.107885
Shan Jiang , Chengkun Jin , Ruoyu Du , Zurong Liang

Background

While both adverse childhood experiences (ACEs) and discrimination have independently been linked to health disparities, few studies have examined how early-life adversity may predispose individuals to perceive or experience discrimination.

Objective

This study explores the long-term cumulative, typological and time-varying effects of ACEs on discrimination in adulthood using a representative longitudinal data.

Participants and setting

Four public waves of data from the National Longitudinal Study of Adolescent to Adult Health were used. The final analytical sample consists of 3107 respondents.

Methods

Latent class analysis was used to identify latent ACE classes. OLS and Negative binomial regression models were conducted to examine the effects of varied ACEs measures on discrimination experiences and perceptions.

Results

Physical abuse, emotional abuse, and parental incarceration were the strongest predictors of discrimination experiences (b = 0.160–0.193, p < .001) and perceptions (IRR = 1.393–1.649, p < .001). Cumulative ACEs was positively associated with discrimination experiences (b = 0.066, p < .001) and perceptions (IRR = 1.156, p < .001). Latent class analysis identified three ACE typologies; those within Parental Abuse had higher adult discrimination experiences and perceptions than Low ACE class. Exposure to physical (b = 0.281, p < .001; IRR = 1.655, p < .001) and emotional abuse (b = 0.258, p < .001; IRR = 1.722, p < .001) during early childhood predicted highest discrimination experiences and perceptions.

Conclusions

The study contributes to life course and stress proliferation theories by conceptualizing discrimination as a downstream manifestation of early trauma. Policy and clinical implications emphasize the need for trauma-informed, developmentally sensitive interventions across the life span.
虽然不良的童年经历(ace)和歧视都与健康差异有关,但很少有研究调查早期生活逆境如何使个人容易感知或经历歧视。目的利用具有代表性的纵向数据,探讨不良经历对成年期歧视的长期累积效应、类型效应和时变效应。参与者和设置使用了来自国家青少年到成人健康纵向研究的四波公开数据。最终的分析样本包括3107名受访者。方法采用潜类分析方法鉴定ACE的潜类。采用OLS和负二项回归模型检验不同ace措施对歧视体验和感知的影响。结果身体虐待、精神虐待和父母监禁是歧视经历(b = 0.160 ~ 0.193, p < 0.001)和认知(IRR = 1.393 ~ 1.649, p < 0.001)的最强预测因子。累积ace与歧视经历(b = 0.066, p < .001)和认知(IRR = 1.156, p < .001)呈正相关。潜在分类分析鉴定出三种ACE类型;受父母虐待的学生比低ACE班级有更高的成人歧视经历和认知。儿童早期遭受身体虐待(b = 0.281, p < .001; IRR = 1.655, p < .001)和精神虐待(b = 0.258, p < .001; IRR = 1.722, p < .001)预示着最高的歧视经历和感知。结论该研究通过将歧视概念化为早期创伤的下游表现,为生命历程和应激增殖理论做出了贡献。政策和临床意义强调需要创伤知情,发展敏感的干预整个生命周期。
{"title":"A longitudinal study of adverse childhood experiences and discrimination in adulthood","authors":"Shan Jiang ,&nbsp;Chengkun Jin ,&nbsp;Ruoyu Du ,&nbsp;Zurong Liang","doi":"10.1016/j.chiabu.2026.107885","DOIUrl":"10.1016/j.chiabu.2026.107885","url":null,"abstract":"<div><h3>Background</h3><div>While both adverse childhood experiences (ACEs) and discrimination have independently been linked to health disparities, few studies have examined how early-life adversity may predispose individuals to perceive or experience discrimination.</div></div><div><h3>Objective</h3><div>This study explores the long-term cumulative, typological and time-varying effects of ACEs on discrimination in adulthood using a representative longitudinal data.</div></div><div><h3>Participants and setting</h3><div>Four public waves of data from the National Longitudinal Study of Adolescent to Adult Health were used. The final analytical sample consists of 3107 respondents.</div></div><div><h3>Methods</h3><div>Latent class analysis was used to identify latent ACE classes. OLS and Negative binomial regression models were conducted to examine the effects of varied ACEs measures on discrimination experiences and perceptions.</div></div><div><h3>Results</h3><div>Physical abuse, emotional abuse, and parental incarceration were the strongest predictors of discrimination experiences (b = 0.160–0.193, <em>p</em> &lt; .001) and perceptions (IRR = 1.393–1.649, <em>p</em> &lt; .001). Cumulative ACEs was positively associated with discrimination experiences (b = 0.066, <em>p</em> &lt; .001) and perceptions (IRR = 1.156, <em>p</em> &lt; .001). Latent class analysis identified three ACE typologies; those within Parental Abuse had higher adult discrimination experiences and perceptions than Low ACE class. Exposure to physical (b = 0.281, <em>p</em> &lt; .001; IRR = 1.655, <em>p</em> &lt; .001) and emotional abuse (b = 0.258, <em>p</em> &lt; .001; IRR = 1.722, <em>p</em> &lt; .001) during early childhood predicted highest discrimination experiences and perceptions.</div></div><div><h3>Conclusions</h3><div>The study contributes to life course and stress proliferation theories by conceptualizing discrimination as a downstream manifestation of early trauma. Policy and clinical implications emphasize the need for trauma-informed, developmentally sensitive interventions across the life span.</div></div>","PeriodicalId":51343,"journal":{"name":"Child Abuse & Neglect","volume":"173 ","pages":"Article 107885"},"PeriodicalIF":3.4,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145908674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data-driven prediction of child neglect and abuse using integrated municipal sources 利用综合市政资源对儿童忽视和虐待进行数据驱动预测。
IF 3.4 2区 心理学 Q1 FAMILY STUDIES Pub Date : 2026-01-07 DOI: 10.1016/j.chiabu.2025.107872
Naama Parush Shear Yashuv , Rinat Salem , Ofra Abramson , Ayelet Carmeli-Messinger , Avrum Neumbourg , Amir Ron , Naama Holzman , Pini Akiva , Ben Y. Reis , Merav Dadia-Molad , Astar Sobol , Maytal Bivas-Benita , Guy Amit

Background

Child neglect and abuse are prevalent worldwide yet often incompletely reported and are frequently associated with long-term adverse physical and mental health outcomes. Municipal-level administrative data contain indicators relevant to detecting child neglect and abuse, which machine learning algorithms can aggregate to help identify children at-risk and facilitate timely interventions. However, this valuable information is typically stored in isolated data silos across different municipal services, limiting its effective utilization.

Objective

This study aimed to assess whether machine learning models applied to integrated municipal data can accurately predict the risk of child neglect and abuse in a large population of children residing in Jerusalem, Israel.

Participants and setting

A large, deidentified dataset representing over 470,000 children, linked across multiple municipal systems, including population registry, education, public health, local taxation and welfare services.

Methods

We defined neglect and abuse outcomes based on the child's welfare records, and constructed models to predict the current risk and the future 2-year risk for each outcome, using multitude of variables extracted from the dataset. Two main use cases were addressed: (1) risk prediction in the general child population using non-welfare data, and (2) risk prediction within the subpopulation already known to welfare services using both welfare and non-welfare data. The models were trained with incremental inclusion of data sources, and their performance was evaluated using the area under the receiver operating characteristic curve (AUC) and sensitivity at fixed levels of specificity.

Results

The prediction models demonstrated good performance, with AUCs ranging from 0.75 to 0.88, depending on the use case and the time window for risk estimation. Accuracy improved with the integration of additional data sources, particularly education and taxation records. In a scenario where the top 5 % of children at risk, according to the algorithm, are assessed by municipal services, 32 % of neglected children and 34 % of abused children would have been identified up to 2 years in advance. Predictive performance was generally consistent across sex groups, but showed slightly lower AUCs for Arab children, compared to Jewish children.

Conclusions

Machine learning models utilizing multi-source municipal data can effectively identify children at risk of maltreatment. Such tools may support municipal welfare systems by enhancing early detection, guiding resource allocation, and improving outcomes for vulnerable children. However, ethical considerations, cultural sensitivity, and human oversight are essential to ensure responsible implementation.
背景:儿童忽视和虐待在世界范围内普遍存在,但往往不完全报道,而且往往与长期不利的身心健康结果有关。市级行政数据包含与发现儿童忽视和虐待有关的指标,机器学习算法可以将这些指标汇总起来,帮助识别处于危险中的儿童,并促进及时干预。然而,这些有价值的信息通常存储在跨不同市政服务的孤立数据筒仓中,限制了其有效利用。目的:本研究旨在评估应用于综合市政数据的机器学习模型是否可以准确预测居住在以色列耶路撒冷的大量儿童中儿童被忽视和虐待的风险。参与者和环境:代表47万多名儿童的大型未识别数据集,与多个市政系统相连,包括人口登记、教育、公共卫生、地方税收和福利服务。方法:我们根据儿童的福利记录定义忽视和虐待结果,并使用从数据集中提取的大量变量构建模型来预测每种结果的当前风险和未来2年风险。研究涉及两个主要用例:(1)使用非福利数据对一般儿童人群进行风险预测;(2)使用福利和非福利数据对福利服务机构已知的亚人群进行风险预测。模型通过增量纳入数据源进行训练,并使用受试者工作特征曲线下面积(AUC)和固定特异性水平下的灵敏度来评估其性能。结果:预测模型表现出良好的性能,auc范围从0.75到0.88,这取决于用例和风险估计的时间窗口。由于整合了其他数据源,特别是教育和税务记录,准确性得到了提高。根据该算法,如果市政服务部门对前5%的高危儿童进行评估,那么32%的被忽视儿童和34%的受虐待儿童将提前两年被发现。不同性别群体的预测表现基本一致,但与犹太儿童相比,阿拉伯儿童的auc略低。结论:利用多源市政数据的机器学习模型可以有效识别有虐待风险的儿童。这些工具可以通过加强早期发现、指导资源分配和改善弱势儿童的结果来支持市政福利系统。然而,伦理考虑、文化敏感性和人的监督是确保负责任的执行的必要条件。
{"title":"Data-driven prediction of child neglect and abuse using integrated municipal sources","authors":"Naama Parush Shear Yashuv ,&nbsp;Rinat Salem ,&nbsp;Ofra Abramson ,&nbsp;Ayelet Carmeli-Messinger ,&nbsp;Avrum Neumbourg ,&nbsp;Amir Ron ,&nbsp;Naama Holzman ,&nbsp;Pini Akiva ,&nbsp;Ben Y. Reis ,&nbsp;Merav Dadia-Molad ,&nbsp;Astar Sobol ,&nbsp;Maytal Bivas-Benita ,&nbsp;Guy Amit","doi":"10.1016/j.chiabu.2025.107872","DOIUrl":"10.1016/j.chiabu.2025.107872","url":null,"abstract":"<div><h3>Background</h3><div>Child neglect and abuse are prevalent worldwide yet often incompletely reported and are frequently associated with long-term adverse physical and mental health outcomes. Municipal-level administrative data contain indicators relevant to detecting child neglect and abuse, which machine learning algorithms can aggregate to help identify children at-risk and facilitate timely interventions. However, this valuable information is typically stored in isolated data silos across different municipal services, limiting its effective utilization.</div></div><div><h3>Objective</h3><div>This study aimed to assess whether machine learning models applied to integrated municipal data can accurately predict the risk of child neglect and abuse in a large population of children residing in Jerusalem, Israel.</div></div><div><h3>Participants and setting</h3><div>A large, deidentified dataset representing over 470,000 children, linked across multiple municipal systems, including population registry, education, public health, local taxation and welfare services.</div></div><div><h3>Methods</h3><div>We defined neglect and abuse outcomes based on the child's welfare records, and constructed models to predict the current risk and the future 2-year risk for each outcome, using multitude of variables extracted from the dataset. Two main use cases were addressed: (1) risk prediction in the general child population using non-welfare data, and (2) risk prediction within the subpopulation already known to welfare services using both welfare and non-welfare data. The models were trained with incremental inclusion of data sources, and their performance was evaluated using the area under the receiver operating characteristic curve (AUC) and sensitivity at fixed levels of specificity.</div></div><div><h3>Results</h3><div>The prediction models demonstrated good performance, with AUCs ranging from 0.75 to 0.88, depending on the use case and the time window for risk estimation. Accuracy improved with the integration of additional data sources, particularly education and taxation records. In a scenario where the top 5 % of children at risk, according to the algorithm, are assessed by municipal services, 32 % of neglected children and 34 % of abused children would have been identified up to 2 years in advance. Predictive performance was generally consistent across sex groups, but showed slightly lower AUCs for Arab children, compared to Jewish children.</div></div><div><h3>Conclusions</h3><div>Machine learning models utilizing multi-source municipal data can effectively identify children at risk of maltreatment. Such tools may support municipal welfare systems by enhancing early detection, guiding resource allocation, and improving outcomes for vulnerable children. However, ethical considerations, cultural sensitivity, and human oversight are essential to ensure responsible implementation.</div></div>","PeriodicalId":51343,"journal":{"name":"Child Abuse & Neglect","volume":"172 ","pages":"Article 107872"},"PeriodicalIF":3.4,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Caught in the web of polyvictimization: Network analysis of theoretical clusters versus data-driven groupings of potentially traumatic events among adolescents 陷入多重受害的网络:青少年潜在创伤事件的理论集群与数据驱动分组的网络分析。
IF 3.4 2区 心理学 Q1 FAMILY STUDIES Pub Date : 2026-01-03 DOI: 10.1016/j.chiabu.2025.107874
Austen McGuire , Rachel Siciliano , Cynthia M. Navarro Flores , Alejandro L. Vázquez , Daniel W. Smith , Dean Kilpatrick

Background

Exposure to multiple potentially traumatic events (PTEs; e.g., maltreatment, family or community violence), is a robust risk factor for posttraumatic stress disorder (PTSD). Identifying patterns of PTE exposure (i.e., polyvictimization) is essential for understanding youth risk for subsequent PTE exposure and mental health outcomes.

Objective

The current study used network analysis to characterize interrelations among PTEs and their connections to PTSD symptoms, and examined whether theoretically grounded classifications versus data-driven constellations of individual PTEs differentially capture polyvictimization patterns and associations with symptoms.

Methods

Data were drawn from 3614 youth (Mage[SD] = 14.63[1.67]; 50 % female youth) who reported on lifetime exposure to 31 distinct PTEs and PTSD symptoms. The study compared network structures and metrics indexing PTE and PTSD symptom interconnectedness across two approaches: (1) a priori theoretically-grounded PTE categories and (2) data-driven groupings of individual PTEs.

Results

Results from categorical and individual networks revealed both distinct and overlapping polyvictimization and symptom patterns. Aggregating PTEs into broad categories obscured key connections among “lower severity” PTEs (e.g., caregiver spanking/slapping, touching on private parts) that were strongly linked to polyvictimization and symptoms.

Conclusions

Theoretical, broad groupings may not accurately reflect patterns of PTE exposure in youth. Findings highlight the value of data-driven approaches and the importance of assessing individual PTEs to capture the complexity of polyvictimization. Results also highlight potential targets for prevention and intervention among PTE exposed youth (e.g., caregiver behaviors) and provide guidance for future the operationalization of polyvictimization in studies linking PTE and emotional and behavioral health outcomes.
背景:暴露于多重潜在创伤性事件(pte,如虐待、家庭或社区暴力)是创伤后应激障碍(PTSD)的一个重要危险因素。确定PTE暴露模式(即多重受害)对于了解青少年随后的PTE暴露风险和心理健康结果至关重要。目的:目前的研究使用网络分析来表征pte之间的相互关系及其与创伤后应激障碍症状的联系,并检查理论基础分类与数据驱动的个体pte组合是否不同地捕获了多重受害模式及其与症状的关联。方法:数据来自3614名青年(Mage[SD] = 14.63[1.67]; 50%为女性青年),他们报告一生中暴露于31种不同的pte和PTSD症状。该研究通过两种方法比较了PTE和PTSD症状相互关联的网络结构和指标:(1)先验的理论基础PTE类别和(2)数据驱动的个体PTE分组。结果:分类和个体网络的结果揭示了不同的和重叠的多重受害和症状模式。将创伤性外伤归为宽泛的类别掩盖了“较严重”创伤性外伤之间的关键联系(例如,看护者打屁股/打耳光,触摸隐私部位),这些与多重受害和症状密切相关。结论:理论上,广泛的分组可能不能准确反映青少年PTE暴露的模式。研究结果强调了数据驱动方法的价值,以及评估个体pte以捕捉多重受害复杂性的重要性。研究结果还强调了在创伤性精神创伤暴露的青少年中预防和干预的潜在目标(例如,照顾者行为),并为今后在将创伤性精神创伤与情绪和行为健康结果联系起来的研究中实施多重受害提供了指导。
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引用次数: 0
“Never mind, my dear, endure it, bear it”: Responses to and interpretations of intrafamilial physical child abuse among Palestinian Muslim survivors in Israel “没关系,亲爱的,忍受它,忍受它”:以色列巴勒斯坦穆斯林幸存者对家庭内部身体虐待儿童的反应和解释
IF 3.4 2区 心理学 Q1 FAMILY STUDIES Pub Date : 2025-12-31 DOI: 10.1016/j.chiabu.2025.107875
Afnan Attrash-Najjar

Background

Although children's responses to abuse are well documented, less is known about how those responses unfold in marginalized, conservative communities experiencing political instability.

Objectives

This study examines responses and interpretations of responses to intrafamilial physical child abuse among Palestinian Muslim survivors in Israel.

Methods

Seventeen Palestinian Muslim adults (12 women, 5 men, aged 19–54) with histories of continuous intrafamilial physical abuse in childhood participated. They were recruited via social media and engaged in in-depth narrative interviews between May 2022 and January 2023. The interviews were analyzed using categorical-content analysis.

Results

Participants coped with ongoing intrafamilial physical child abuse through various mechanisms, including emotional withdrawal, invisibility, cognitive and imaginative escape, spiritual coping, and unsuccessful help-seeking due to systemic barriers. Their responses to the abuse were shaped by socialization, gender norms, religion, political oppression and state violence, which reinforced their endurance, silence, and distrust of authorities.

Conclusions

The study reveals how cultural, gendered, and systemic factors shape survivors' responses to abuse, emphasizing the need for interventions targeting both individual trauma and broader societal and systemic oppression.
虽然儿童对虐待的反应有很好的记录,但在经历政治不稳定的边缘化、保守社区中,这些反应是如何表现的,我们知之甚少。目的:本研究探讨以色列巴勒斯坦穆斯林幸存者对家庭内儿童身体虐待的反应和解释。方法选取17名巴勒斯坦穆斯林成人(女性12名,男性5名,年龄19-54岁),均有儿童期持续家庭内部身体虐待史。他们通过社交媒体被招募,并在2022年5月至2023年1月期间进行了深入的叙事采访。访谈采用分类内容分析法进行分析。结果被试通过情绪退缩、不可见、认知和想象逃避、精神应对和系统障碍导致的求助失败等多种机制应对持续的家庭内儿童身体虐待。她们对虐待的反应受到社会化、性别规范、宗教、政治压迫和国家暴力的影响,这些因素加强了她们的忍耐力、沉默和对当局的不信任。该研究揭示了文化、性别和系统因素如何影响幸存者对虐待的反应,强调了针对个人创伤和更广泛的社会和系统压迫进行干预的必要性。
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引用次数: 0
Associations between childhood victimization, parent-child closeness, and adulthood well-being outcomes: A network analysis 童年受害、亲子亲密和成年幸福结果之间的关系:一个网络分析。
IF 3.4 2区 心理学 Q1 FAMILY STUDIES Pub Date : 2025-12-30 DOI: 10.1016/j.chiabu.2025.107866
Mengtong Chen, Naiqi Tian

Background

It remains unclear how childhood experiences, particularly dual exposure to child abuse and interparental violence, as well as positive childhood experiences, affect well-being in adulthood.

Objectives

This study aims to build the network structure of different forms of childhood victimization, parent-child closeness, and adulthood well-being outcomes, with a focus on the core childhood factor that is strongly linked to adulthood well-being and the potential sequential relationship between the variables.

Participants and setting

The retrospective study included 1528 participants between 18 and 65 in the community setting of Shenzhen, China.

Methods

Network analysis was used to identify the relationships between childhood experiences and well-being outcomes in adulthood. The network structure was constructed using R packages qgraph and bootnet. The directed acyclic graph (DAG) was used to explore the most probable direction of the proposed causal relationship.

Results

The network structure shows the indirect interactions between childhood victimization and adulthood well-being via parent-child closeness. Particularly, parent-child closeness is linked to childhood psychological aggression directly and also through neglect and exposure to father-to-mother violence. DAG further indicates the potential sequential relationship between childhood experiences and adulthood well-being, in which psychological aggression plays a pivotal role.

Conclusions

The findings emphasize the significance of preventing childhood victimization, which can improve community health. There is a need for universal interventions to improve the awareness of psychological abuse and integrated services for poly-victims of childhood abuse and interparental violence. Programs aimed at reducing the impacts of child victimization should include efforts to strengthen parent-child relationships.
背景:目前尚不清楚童年经历,特别是儿童虐待和父母间暴力的双重暴露,以及积极的童年经历如何影响成年后的幸福感。目的:本研究旨在构建不同形式的童年受害、亲子亲密度与成年幸福感结果的网络结构,重点关注与成年幸福感密切相关的核心童年因素及其变量之间潜在的序列关系。参与者和环境:回顾性研究包括1528名年龄在18 - 65岁之间的参与者,来自中国深圳的社区环境。方法:使用网络分析来确定童年经历与成年后幸福结果之间的关系。使用R包qgraph和bootnet构建网络结构。使用有向无环图(DAG)来探索提出的因果关系的最可能方向。结果:网络结构表明,童年受害与成年幸福感之间通过亲子亲密关系间接相互作用。特别是,亲子亲密关系与儿童的心理攻击直接相关,也与忽视和暴露于父亲对母亲的暴力有关。DAG进一步表明,童年经历与成年幸福感之间存在潜在的顺序关系,其中心理攻击起着关键作用。结论:研究结果强调了预防儿童受害的重要性,这可以改善社区卫生。有必要采取普遍干预措施,提高对心理虐待的认识,并为儿童虐待和父母间暴力的多重受害者提供综合服务。旨在减少儿童受害影响的方案应包括加强亲子关系的努力。
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引用次数: 0
Eleven-year trends in statewide child maltreatment reports and substantiated cases: Associations with policy implementation, Covid-19 and community socioeconomic factors 全州儿童虐待报告和证实案例的11年趋势:与政策实施、Covid-19和社区社会经济因素的关系
IF 3.4 2区 心理学 Q1 FAMILY STUDIES Pub Date : 2025-12-30 DOI: 10.1016/j.chiabu.2025.107854
Mikaela D. Scozzafava , Carl F. Weems

Background

Child maltreatment remains a critical public health issue with long-term developmental consequences. Understanding how community-level factors and policy changes influence reporting trends is essential for effective prevention and intervention.

Objective

This study investigated 11-year trends in statewide child maltreatment reports and substantiations to better understand these trends in connection with county socioeconomic conditions, statewide policy implementation, and the COVID-19 pandemic.

Participants and setting

County-level rates of reported and substantiated child maltreatment from 2012 to 2023 among all 99 counties in Iowa were linked to county-level socioeconomic indicators.

Methods

Hierarchical linear and mixed modeling techniques were used to examine temporal trends and the influence of county-level socioeconomic indicators on reporting and substantiation rates.

Results

Trends in reports and substantiation rates were best modeled by curvilinear (cubic) trends with fluctuations related to a state-wide policy change and the COVID-19 pandemic. Results indicated that county-level income (β = 149.18, SE = 66.79, p < .05), unemployment (β = 124.26, SE = 53.90, p < .05), and safety (β = 198.13, SE = 81.41, p < .05) were associated with reporting rates. County-level educational attainment (β = 60.17, SE = 23.88, p < .05), income (β = 53.12, SE = 23.85, p < .05), unemployment (β = 43.58, SE = 19.47, p < .05), and safety (β = 79.72, SE = 29.67, p < .01) were associated with substantiation rates.

Conclusions

Contrary to expectations from data at the individual and family level, higher levels of income, education, socially supportive environments, and community safety were associated with increased rates of reported and substantiated cases at the county-level. While preliminary, the findings highlight the importance of understanding broad context, community-level surveillance, and institutional capacity beyond the individual and family levels.
背景:儿童虐待仍然是一个严重的公共卫生问题,具有长期的发展后果。了解社区层面的因素和政策变化如何影响报告趋势,对于有效预防和干预至关重要。目的:本研究调查了11年来全州儿童虐待报告和证据的趋势,以更好地了解这些趋势与县社会经济状况、全州政策实施和COVID-19大流行的关系。参与者和环境:在爱荷华州所有99个县中,2012年至2023年报告和证实的县级儿童虐待率与县级社会经济指标相关。方法:采用分层线性和混合建模技术来检验时间趋势以及县级社会经济指标对报告率和证实率的影响。结果:报告和证实率的趋势最好采用曲线(立方)趋势建模,其中波动与全州政策变化和COVID-19大流行有关。结果显示,县级收入(β = 149.18, SE = 66.79, p)与个人和家庭数据的预期相反,较高水平的收入、教育、社会支持环境和社区安全与县级报告和证实病例的发生率增加有关。虽然是初步的,但研究结果强调了了解大背景、社区一级监测和超越个人和家庭层面的机构能力的重要性。
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引用次数: 0
期刊
Child Abuse & Neglect
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