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Article Abstract

Introduction: Child-to-parent violence (CPV) is an increasing issue globally, leading to serious adverse effects on families. This research aimed to conduct a systematic review and meta-analysis to assess the prevalence of CPV and identify its associated risk factors, thereby enhancing understanding of this escalating global issue.

Methods: In this systematic review and meta-analysis, a thorough search was carried out across various databases in English. The inclusion criteria were developed based on the SPIDER framework, targeting quantitative studies that focused on the prevalence and risk factors associated with CPV. Data were extracted systematically using a validated collection form, and the risk of bias was assessed using the Newcastle-Ottawa Scale. Statistical analyses included meta-regression and sensitivity analyses to determine the prevalence of CPV using Comprehensive Meta-Analysis version 3 software. Among the 25 included studies, 12 studies were included in the meta-analysis for prevalence, both overall and separately for violence against mothers and fathers. Additionally, 8 studies were analyzed through systematic and narrative data synthesis to examine determinants of CPV.

Results: The meta-analysis involving 25,000 participants revealed that the overall prevalence of CPV against both parents was 34.8%. Subgroup analyses indicated that physical violence prevalence was 10.0%, while psychological violence was significantly higher at 82.6%. Additionally, the descriptive analysis identified key determinants of CPV, including family conflict, parental stress, and adolescent behavioral issues, highlighting the complex interplay of factors contributing to this phenomenon and emphasizing the need for targeted interventions.

Conclusion: The findings underscore the urgent need for targeted interventions that address these multifaceted issues to effectively reduce CPV and its impact on families. Future research should continue to explore these dynamics to inform effective prevention strategies.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12001392PMC
http://dx.doi.org/10.1186/s12889-025-22600-yDOI Listing

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