Chitra G. Ramalingam , Rashmi A. Mittal , Wilson C.J. Low , Lourdes Mary Daniel , Pratibha K. Agarwal , Jean Yin Oh , Li Ming Ong , Wen Hann Chow , Oh Moh Chay , Sita Padmini Yeleswarapu
{"title":"人口统计和家庭相关的不良童年经历影响受虐待幼儿的发展和行为结果——新加坡的一项现实研究","authors":"Chitra G. Ramalingam , Rashmi A. Mittal , Wilson C.J. Low , Lourdes Mary Daniel , Pratibha K. Agarwal , Jean Yin Oh , Li Ming Ong , Wen Hann Chow , Oh Moh Chay , Sita Padmini Yeleswarapu","doi":"10.1016/j.chipro.2025.100111","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and objectives</h3><div>Adverse childhood experiences (ACEs) are known to affect physical and mental health outcomes. In this study, we investigated the role of demographical factors and ACEs focusing on family-related factors on behavioral and developmental outcomes in young children exposed to maltreatment in Singapore.</div></div><div><h3>Participants and setting</h3><div>Children suspected of maltreatment and their siblings (<4y of age) were prospectively enrolled (n = 112) in a cross-sectional, correlational cohort study recruited through convenience sampling.</div></div><div><h3>Methods</h3><div>Developmental outcomes were evaluated using Ages and Stages Questionnaire-3 (ASQ-3) and behavioral outcomes by Child Behavior Checklist (CBCL). Two multivariable logistic regression analyses were conducted: (A)presence/absence of ≥3 ACEs, and (B)effect of family-related ACEs, after controlling for demographics including maternal education and per capita income (PCI).</div></div><div><h3>Results</h3><div>The mean ACEs score was 2.8 ± 1.5, with developmental and behavioral concerns in 76% and 27%, respectively. Children with ≥3 ACEs had higher abnormal T-scores on CBCL and lower scores in gross-motor domain (p < 0.05). Logistic regression analysis(A) identified lower PCI as affecting ASQ-3 communication (p = 0.02) and predisposing to concerns in CBCL (p < 0.03), while maternal education ≤12 years was associated with concerns in personal-social and gross-motor domains (p < 0.01). In contrast, in logistic regression analysis(B), caregiver substance abuse was found to adversely affect ASQ-3 communication and problem-solving domains (p < 0.05), and maternal mental illness predisposed children to concerns in CBCL(p < 0.05).</div></div><div><h3>Conclusions</h3><div>Lower family income, lower maternal education, caregiver substance abuse and maternal mental health issues predispose children subjected to ACEs to further delays and behavioral concerns. Early identification and intervention in this high-risk cohort is imperative to mitigate the long-term impact of ACEs exposure.</div></div>","PeriodicalId":100237,"journal":{"name":"Child Protection and Practice","volume":"4 ","pages":"Article 100111"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demographics and family-related adverse childhood experiences influence developmental and behavioral outcomes in maltreated young children – a real-life study in Singapore\",\"authors\":\"Chitra G. Ramalingam , Rashmi A. Mittal , Wilson C.J. Low , Lourdes Mary Daniel , Pratibha K. Agarwal , Jean Yin Oh , Li Ming Ong , Wen Hann Chow , Oh Moh Chay , Sita Padmini Yeleswarapu\",\"doi\":\"10.1016/j.chipro.2025.100111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and objectives</h3><div>Adverse childhood experiences (ACEs) are known to affect physical and mental health outcomes. In this study, we investigated the role of demographical factors and ACEs focusing on family-related factors on behavioral and developmental outcomes in young children exposed to maltreatment in Singapore.</div></div><div><h3>Participants and setting</h3><div>Children suspected of maltreatment and their siblings (<4y of age) were prospectively enrolled (n = 112) in a cross-sectional, correlational cohort study recruited through convenience sampling.</div></div><div><h3>Methods</h3><div>Developmental outcomes were evaluated using Ages and Stages Questionnaire-3 (ASQ-3) and behavioral outcomes by Child Behavior Checklist (CBCL). Two multivariable logistic regression analyses were conducted: (A)presence/absence of ≥3 ACEs, and (B)effect of family-related ACEs, after controlling for demographics including maternal education and per capita income (PCI).</div></div><div><h3>Results</h3><div>The mean ACEs score was 2.8 ± 1.5, with developmental and behavioral concerns in 76% and 27%, respectively. Children with ≥3 ACEs had higher abnormal T-scores on CBCL and lower scores in gross-motor domain (p < 0.05). Logistic regression analysis(A) identified lower PCI as affecting ASQ-3 communication (p = 0.02) and predisposing to concerns in CBCL (p < 0.03), while maternal education ≤12 years was associated with concerns in personal-social and gross-motor domains (p < 0.01). In contrast, in logistic regression analysis(B), caregiver substance abuse was found to adversely affect ASQ-3 communication and problem-solving domains (p < 0.05), and maternal mental illness predisposed children to concerns in CBCL(p < 0.05).</div></div><div><h3>Conclusions</h3><div>Lower family income, lower maternal education, caregiver substance abuse and maternal mental health issues predispose children subjected to ACEs to further delays and behavioral concerns. Early identification and intervention in this high-risk cohort is imperative to mitigate the long-term impact of ACEs exposure.</div></div>\",\"PeriodicalId\":100237,\"journal\":{\"name\":\"Child Protection and Practice\",\"volume\":\"4 \",\"pages\":\"Article 100111\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Child Protection and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S295019382500018X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Child Protection and Practice","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S295019382500018X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Demographics and family-related adverse childhood experiences influence developmental and behavioral outcomes in maltreated young children – a real-life study in Singapore
Background and objectives
Adverse childhood experiences (ACEs) are known to affect physical and mental health outcomes. In this study, we investigated the role of demographical factors and ACEs focusing on family-related factors on behavioral and developmental outcomes in young children exposed to maltreatment in Singapore.
Participants and setting
Children suspected of maltreatment and their siblings (<4y of age) were prospectively enrolled (n = 112) in a cross-sectional, correlational cohort study recruited through convenience sampling.
Methods
Developmental outcomes were evaluated using Ages and Stages Questionnaire-3 (ASQ-3) and behavioral outcomes by Child Behavior Checklist (CBCL). Two multivariable logistic regression analyses were conducted: (A)presence/absence of ≥3 ACEs, and (B)effect of family-related ACEs, after controlling for demographics including maternal education and per capita income (PCI).
Results
The mean ACEs score was 2.8 ± 1.5, with developmental and behavioral concerns in 76% and 27%, respectively. Children with ≥3 ACEs had higher abnormal T-scores on CBCL and lower scores in gross-motor domain (p < 0.05). Logistic regression analysis(A) identified lower PCI as affecting ASQ-3 communication (p = 0.02) and predisposing to concerns in CBCL (p < 0.03), while maternal education ≤12 years was associated with concerns in personal-social and gross-motor domains (p < 0.01). In contrast, in logistic regression analysis(B), caregiver substance abuse was found to adversely affect ASQ-3 communication and problem-solving domains (p < 0.05), and maternal mental illness predisposed children to concerns in CBCL(p < 0.05).
Conclusions
Lower family income, lower maternal education, caregiver substance abuse and maternal mental health issues predispose children subjected to ACEs to further delays and behavioral concerns. Early identification and intervention in this high-risk cohort is imperative to mitigate the long-term impact of ACEs exposure.