Psychological intervention

Injury prevention

Statistics

Suicide prevention

Human factors and ergonomics

Social psychology

Bivariate analysis

Psychological resilience

Protective factor

Longitudinal study

Psychiatry

Developmental psychology

Environmental health

Poison control

Psychology

Mathematics

Meta-analysis

Internal medicine

Intervention (counseling)

Domestic violence

Medicine

Clinical psychology

Pathology

Clinical Child and Family Psychology Review

Children who experience violence in their families and communities are at increased risk for a wide range of psychological and behavioral difficulties, but some exhibit resilience, or adaptive functioning following adversity. Understanding what promotes resilience is critical for developing more effective prevention and intervention strategies. Over 100 studies have examined potential protective factors for children exposed to violence in the past 30 years, but there has been no quantitative review of this literature. In order to identify which protective factors have received the strongest empirical support, we conducted a meta-analysis of 118 studies involving 101,592 participants. We separately evaluated cross-sectional (n = 71) and longitudinal (n = 47) studies testing bivariate, additive, and buffering effects for eleven proposed protective factors. Effect sizes generally were stronger in cross-sectional than longitudinal studies, but four protective factors-self-regulation, family support, school support, and peer support-demonstrated significant additive and/or buffering effects in longitudinal studies. Results were consistent across type of violence experienced (i.e., maltreatment, intimate partner violence, community violence). The review highlights the most robust predictors of resilience, identifies limitations of this work, and offers directions for improving our understanding of the processes and programs that foster resilience in children exposed to violence.

Resilience in Children Exposed to Violence: A Meta-analysis of Protective Factors Across Ecological Contexts