A number of cross-sectional and a few longitudinal studies have shown a developmental relationship between child abuse and adult physical and mental health. Published findings also suggest that social support can lessen the risk of adverse outcomes for some abused children. However, few studies have investigated whether social support mediates or moderates the relationship between child abuse and adult physical and mental health. Structural equation modeling was used to examine data on these topics from a longitudinal study of more than 30 years. While a latent construct of physical and emotional child abuse did not predict adult health outcomes directly, child abuse did predict outcomes indirectly through social support. A test of variable moderation for child abuse and social support was nonsignificant. Results suggest that social support may help explain the association between child abuse and health outcomes at midlife. Implications of the findings for prevention and treatment are discussed. (PsycINFO Database Record
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4974150 | PMC |
| http://dx.doi.org/10.1037/ort0000136 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Factors associated with abusive head trauma in young children presenting to emergency medical services using a large language model.
Prehosp Emerg Care
January 2025
Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO.
Objectives: Abusive head trauma (AHT) is a leading cause of death in young children. Analyses of patient characteristics presenting to Emergency Medical Services (EMS) are often limited to structured data fields. Artificial Intelligence (AI) and Large Language Models (LLM) may identify rare presentations like AHT through factors not found in structured data.
View Article and Find Full Text PDFThe Impact of Domestic Violence and Sexual Assault on Family Dynamics and Child Development: A Comprehensive Review.
Turk Arch Pediatr
January 2025
Department of Forensic Medicine, İstanbul Health and Technology University Faculty of Medicine, İstanbul, Türkiye.
This review synthesizes current research on domestic violence and sexual assault, focusing on their short-term and long-term effects on family dynamics, particularly on the development and well-being of children and adolescents. The article employs a curated body of literature, including surveys, reviews, program evaluations, and international health reports, to elucidate the direct and collateral damage caused by such trauma within families. The review critically examines the intersecting consequences of abuse, including immediate psychological distress and long-term socio-economic and educational disruptions for affected youths.
View Article and Find Full Text PDFMagnitude of female child sexual abuse in Ethiopia: A systematic review and meta-analysis.
Heliyon
January 2025
Departments of Health Informatics, College of Health Sciences, Mattu University, Mattu, Ethiopia.
Background: Child sexual abuse is a grave issue with significant consequences for the well-being and development of children worldwide. Understanding the scope of this problem is essential, particularly in Ethiopia, where protecting the nation's youth is crucial. Although child sexual abuse is a critical issue, there is a lack of comprehensive assessment of its prevalence and associated factors in Ethiopia.
View Article and Find Full Text PDFGrowing up without violence (GWV): Study protocol for a cluster randomised trial and process evaluation of a school-based intervention preventing adolescent sexual exploitation in Brazil.
Contemp Clin Trials
January 2025
Department of Statistical Science, University College London, Room 120, 1-19 Torrington Pl, London WC1E 7HB, UK. Electronic address:
Background: Sexual exploitation of children and adolescents (SECA) is a mostly invisible phenomenon, having negative impacts on adolescents' health and well-being.. There is increasing awarenessof preventative strategies to reduce sexual exploitation of children and adolescents, but limited evidence on their effectiveness and mechanisms.
View Article and Find Full Text PDFUsing supervised machine learning and ICD10 to identify non-accidental trauma in pediatric trauma patients in the Maryland Health Services Cost Review Commission dataset.
Child Abuse Negl
January 2025
Johns Hopkins School of Medicine, United States of America. Electronic address:
Background: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We developed a machine learning model that uses demographic characteristics and ICD10 codes to detect the first diagnosis of NAT.
Methods: We analyzed data from the Maryland Health Services Cost Review Commission (2015-2020) for patients aged 0-19 years.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!