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1.
Trauma Violence Abuse ; : 15248380241246522, 2024 Apr 24.
Article in English | MEDLINE | ID: mdl-38655856

ABSTRACT

Throughout the last two decades, research on poly-victimization (PV) has evolved from examinations of a core set of past-year victimization types in youth samples to investigations of a broad range of victimization types experienced during variable time intervals in diverse samples of varying ages. As the concept of PV expands, greater clarity regarding the definition and measurement of PV is needed to advance understanding of its risk and protective factors as well as its associated outcomes. This scoping review aimed to (a) identify approaches used to operationally define and measure PV across studies and (b) synthesize empirical findings concerning risk factors and outcomes associated with PV. A systematic search of peer-reviewed research published before 2022 across 12 databases yielded 98 studies that met inclusion criteria. Study characteristics including the research design, sample type, victimization timeframe, operational definition(s) of PV, measurement of PV, analytic methods, and key findings were synthesized across studies. Findings indicated that the majority of reviewed studies were cross-sectional investigations that utilized categorical measures of lifetime PV in samples of youth. Results also demonstrated that PV is robustly associated with a broad range of predictors, including mental health symptoms and diagnoses as well as family- and community-level factors. PV is also associated with numerous adverse outcomes including depression, anxiety, suicidality, substance use, and delinquency across diverse study types and populations. Future research that examines the conditional effects of PV is needed to identify subgroups of individuals at higher risk of adverse outcomes following PV and modifiable targets for interventions.

2.
Psychiatry ; 87(2): 149-160, 2024.
Article in English | MEDLINE | ID: mdl-38305821

ABSTRACT

OBJECTIVE: This report presents an overview of the objectives, design, and analytic strategy of the Child Maltreatment in Military Families Life Course Study, an investigation of factors associated with child maltreatment in active duty military families. METHOD: The study uses a case-control retrospective research design and discrete-time survival methodology to examine service member demographic characteristics, family characteristics, military-related characteristics, and military family life events associated with child maltreatment incidents that meet the Department of Defense definition of child abuse or neglect. The sample includes all active duty families with a first occurrence of child maltreatment anytime between Fiscal Year (FY) 2009 and FY 2018 (n = 28,684), and a representative sample of control families with children under age of 18 during the same period (n = 589,417). Analyses include child maltreatment and domestic abuse data from the Family Advocacy Program Central Registry; sponsor socio-demographic, military-related, and family data from the Active Duty Military Personnel Master and Defense Enrollment Eligibility Reporting System data files; deployment data from the Contingency Tracking System; and mental health data from the Medical Data Repository. RESULTS AND CONCLUSIONS: Study results identify risk and protective factors associated with child maltreatment in military families, subgroups at elevated risk of child maltreatment, and periods of heightened risk during the military family life course. These results are expected to improve the ability to identify families most at-risk for particular types of child maltreatment and inform prevention strategies that promote the health and safety of military families.


Subject(s)
Child Abuse , Military Family , Humans , Child Abuse/statistics & numerical data , Child , Male , Female , Military Family/statistics & numerical data , Adult , Case-Control Studies , Adolescent , Retrospective Studies , United States/epidemiology , Child, Preschool , Research Design , Risk Factors , Young Adult , Military Personnel/statistics & numerical data
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