Child-father attachment in early childhood and behavior problems: A meta-analysis.

This meta-analytic study examined the associations between child-father attachment in early childhood and children's externalizing and internalizing behavior problems. Based on 15 samples (N = 1,304 dyads), the association between child-father attachment insecurity and externalizing behaviors was significant and moderate in magnitude (r = 0.18, 95% CI: 0.10, 0.27 or d = 0.37, 95% CI: 0.20, 0.55). No moderators of this association were identified. Based on 12 samples (N = 1,073), the association between child-father attachment insecurity and internalizing behaviors was also significant, albeit smaller in magnitude (r = 0.09, 95% CI: 0.02, 0.15; or d = 0.17, 95% CI: 0.03, 0.31). Between-study heterogeneity was insufficient to consider moderators. When compared to the effect sizes of prior meta-analyses on child-mother attachment and behavior problems, the quality of the attachment relationship with fathers yields a similar magnitude of associations to children's externalizing and internalizing behaviors. Results support the need to consider the role of the attachment network, which notably includes attachment relationships to both fathers and mothers, to understand how attachment relationships contribute to child development.

Early COVID-19 pandemic modeling: Three compartmental model case studies from Texas, USA.

The novel coronavirus (SARS-CoV-2) emerged in late 2019 and spread globally in early 2020. Initial reports suggested the associated disease, COVID-19, produced rapid epidemic growth and caused high mortality. As the virus sparked local epidemics in new communities, health systems and policy makers were forced to make decisions with limited information about the spread of the disease. We developed a compartmental model to project COVID-19 healthcare demands that combined information regarding SARS-CoV-2 transmission dynamics from international reports with local COVID-19 hospital census data to support response efforts in three Metropolitan Statistical Areas (MSAs) in Texas, USA: Austin-Round Rock, Houston-The Woodlands-Sugar Land, and Beaumont-Port Arthur. Our model projects that strict stay-home orders and other social distancing measures could suppress the spread of the pandemic. Our capacity to provide rapid decision-support in response to emerging threats depends on access to data, validated modeling approaches, careful uncertainty quantification, and adequate computational resources.

The risk-taking and self-harm inventory for adolescents: development and psychometric evaluation.

In this study, we report on the development and psychometric evaluation of the Risk-Taking (RT) and Self-Harm (SH) Inventory for Adolescents (RTSHIA), a self-report measure designed to assess adolescent RT and SH in community and clinical settings. 651 young people from secondary schools in England ranging in age from 11.6 years to 18.7 years and 71 young people referred to mental health services for SH behavior in London between the ages of 11.9 years and 17.5 years completed the RTSHIA along with standardized measures of adolescent psychopathology. Two factors emerged from the principal axis factoring, and RT and SH were further validated by a confirmatory factor analysis as related, but different, constructs, rather than elements of a single continuum. Inter-item and test-retest reliabilities were high for both components (Cronbach's α = .85, ru = .90; Cronbach's α .93, ru = .87), and considerable evidence emerged in support of the measure's convergent, concurrent, and divergent validity. The findings are discussed with regard to potential usefulness of the RTSHIA for research and clinical purposes with adolescents.