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Intimate partner violence (IPV) exposure threatens healthy child development by compromising outcomes across a range of domains including academic functioning. However, research suggests variability in the strength and nature of the association between IPV exposure and academic functioning, and the extent to which it varies by different academic outcomes and co-occurring risk factors (e.g., child maltreatment). This systematic review seeks to clarify the relation between IPV exposure and academic functioning by distilling overall outcome trends and critically assessing the existing literature's strengths and limitations. Seven databases were searched to identify relevant articles published through August 2020. Studies were included if (a) at least 80% of the sample were from birth to 18 years of age; (b) valid tools were used to measure outcome variables, and (c) outcomes of children exposed to IPV were compared with children who experienced other forms of violence and/or no violence exposure. After screening, the review yielded 13 articles examining academic functioning. The majority (76.9%, n = 10) of the studies found a negative association between IPV exposure and academic functioning, but results varied among subdomains of academic functioning (subjective performance, objective performance, and conduct). Findings from several studies indicate that the combined experience of IPV exposure and maltreatment negatively affects academic functioning. Results highlight the need for: 1) additional research examining IPV exposure and academic functioning 2) early detection of IPV-exposed children, and 3) the development and implementation of evidence-based interventions to support academic functioning. [ABSTRACT FROM AUTHOR]

Introduction: Psychosocial factors and life stressors have an impact on long-term health effects on mothers and their children. Recent studies examining maternal mental health have predominantly focused on identifying maternal experiences with depression; however, there has been minimal research investigating maternal experiences with psychosocial risk factors and its relationship with child well-being. Methods: Secondary analysis was conducted using data from the Fragile Families and Child Well-Being Study. The study sample includes 2396 adolescents and their biological mothers. Adolescents were between the ages of 14 and 19. We examined primary outcomes regarding mental health (depression and anxiety), life-satisfaction, and substance usage (alcohol and drugs). Results: The association between maternal psychosocial factors an adolescent depression was significant, F(26) = 5.29, p <.01. Mothers educational attainment and poverty level significantly predicted adolescent depression; with completion of some college (B = −0.411, p 0.025), a college degree (B = −0.540, p = 0.018), and living at the 300% poverty level (B = −0.725, p = 0.002) predicting lower levels of adolescent depression. Conclusion: Our study demonstrates that there was a positive relationship between maternal mental health and adolescent mental health. Further, this study demonstrated that maternal mental health and social determinants of health are predictors of adolescent mental health and social functioning, thus indicating an inextricable connection to child well-being. [ABSTRACT FROM AUTHOR]

The Drug Free Schools and Communities Act scale (DFSCA) has been widely used to measure school engagement in studies utilizing the National Survey of Child and Adolescent Well-Being (NSCAW) data. Recent analyses using NSCAW-I suggest that the best use of the DFSCA scale is a three-factor structure measuring emotional, behavioral, and cognitive-behavioral engagement. However, this three-factor structure presented concerns with the cognitive-behavioral engagement construct, warranting further analyses. This study aimed to test the three-factor structure in separate samples, and to test an alternative model that excluded the cognitive-behavioral engagement construct. Using NSCAW-II data, we performed a series of confirmatory factor analyses, to explore the fit of the hypothesized and alternative models across three random samples. We extracted three random samples from the NSCAW-II data, without replication. Each sub-sample represented 20 % of the larger NSCAW-II sample. The samples included children between the ages of 6 and 15 who were involved with the child welfare system due to a maltreatment report. Results indicated that both the three-factor structure that includes the cognitive-behavioral engagement construct, and the two-factor structure that excludes the factor fit the data well. Implications for using these factor structures in future research is discussed. [ABSTRACT FROM AUTHOR]