AbstractSubstance‐affected families are frequently cited as the most challenging families to serve within the child welfare context, particularly in rural settings where treatment services may be few and far between. Growing evidence suggests that family treatment courts (FTCs) may be more effective than their traditional counterpart at achieving key child welfare goals; however, prior studies have been limited in their methodological rigour. This study used treatment and matched comparison data to test foster care exit patterns of families with children in foster care due to parental substance use. Treatment group data were collected on a sample of 91 children with open dependency cases in an integrated FTC in a rural Midwestern town. Propensity score nearest neighbour one‐to‐two matching was used to identify a comparison group of 146 children. Findings suggest that FTC participation significantly influenced foster care exits. Survival analyses revealed that FTC children were 170% more likely to reunify, and 58% more likely to achieve permanency, than comparison cases. The effect of FTC participation on likelihood of reunification and likelihood of permanency was stronger when models estimated outcomes from FTC start date, rather than child removal date. Implications for social work practice, research, and education are discussed.
In: Alcohol and alcoholism: the international journal of the Medical Council on Alcoholism (MCA) and the journal of the European Society for Biomedical Research on Alcoholism (ESBRA), Band 59, Heft 3
Introduction social isolation and forced quarantines during the early phases of the COVID-19 pandemic coincided with a steep and persistent rise in alcohol consumption among US adults. While the association between loneliness and drinking is well established, less is known about the impact of social isolation (a known correlate of loneliness) and the interplay between these two variables in relation to drinking.
Methods we recruited US adults using the MTurk platform for an online survey in early April 2020. The initial survey was followed up with a second wave, 30 days later in mid to late May. Data from the current analyses focus on this second wave of data collection.
Results we found significant direct effects on heavy drinking for both social isolation (c' = 0.495; P < .01) and loneliness (b = 0.071; P < .05). We also found a significant indirect path from social isolation to heavy drinking through social isolation's impact on elevating loneliness (a = 0.919; P < .001). The indirect effect of social isolation on the composite measure of heavy drinking was 0.0652 (0.919 × 0.071) and was significant at the 0.05 level after bootstrapping estimates of the variance were constructed.
Conclusions those most isolated early in the pandemic were at increased risk for heavy drinking, in part because their social isolation led to increased loneliness. Post-pandemic research is needed to explore whether the relationships that stemmed from social isolation during the pandemic led to a persistent pattern of behavioral risk that maintained high rates of heavy drinking.
AbstractIn 2019, the family treatment court (FTC) best practice standards (the Standards) were published to clarify attributes of FTC programs associated with superior child, parent, and family outcomes. The Standards cover the breadth of FTC operations including program structure and leadership, substance use treatment and complementary services, and behavioral responses to participants. This study aimed to develop an instrument (the Model Standards Implementation Scale; "MSIS") that stakeholders can use to assess implementation of the Standards by individual FTCs. The MSIS balances usability with scientific validity. Interrater reliability (IRR), internal consistency, and several types of validity were assessed. Results indicated moderate to strong IRR, high internal consistency, mixed known groups validity depending on Standard, and high convergent and divergent validity. Initial findings suggest good validity and usability of the MSIS for evaluating FTC Standards' implementation. Notably, the process of using the tool functioned to educate FTC team members on the Standards. Although implementation of the MSIS is a resource‐intensive process, the opportunity to receive constructive feedback proved to be an effective incentive for initial and subsequent participation in the evaluation among FTCs. Future research is needed to examine predictive validity, including association between Standards' implementation and family outcomes in FTCs.
Funding: AG and TFMA were supported by the Munich Cluster for Systems Neurology (SyNergy). AG 535 was supported by Fondazione Umberto Veronesi. SP is a Royal Society University Research fellow. BMM, CF, BSP and SEF are supported by the Max Planck Society. AW, BM and HK were funded by the Fraunhofer Society and the Max Planck Society within the 'Pakt für Forschung und Innovation'. HK was also supported by LIFE – Leipzig Research Center for Civilization Diseases funded by means of the European Union; the European Regional Development Fund (ERDF); and the Free State of Saxony within the excellence initiative. FR is supported by Agence Nationale de la Recherche (ANR-06-NEURO-019-01, ANR-17-EURE-542 0017 IEC, ANR-10-IDEX-0001-02 PSL, ANR-11-BSV4-014-01), European Commission (LSHM-CT-2005-018696). TFMA was supported by the BMBF through the DIFUTURE consortium of the Medical Informatics Initiative Germany (grant 01ZZ1804A) and by the European Union's Horizon 2020 Research and Innovation Programme (grant MultipleMS, EU RIA 733161). ; Developmental dyslexia (DD) is a learning disorder affecting the ability to read, with a heritability of 40–60%. A notable part of this heritability remains unexplained, and large genetic studies are warranted to identify new susceptibility genes and clarify the genetic bases of dyslexia. We carried out a genome-wide association study (GWAS) on 2274 dyslexia cases and 6272 controls, testing associations at the single variant, gene, and pathway level, and estimating heritability using single-nucleotide polymorphism (SNP) data. We also calculated polygenic scores (PGSs) based on large-scale GWAS data for different neuropsychiatric disorders and cortical brain measures, educational attainment, and fluid intelligence, testing them for association with dyslexia status in our sample. We observed statistically significant (p < 2.8 × 10−6) enrichment of associations at the gene level, for LOC388780 (20p13; uncharacterized gene), and for VEPH1 (3q25), a gene implicated in brain development. We estimated an SNP-based heritability of 20–25% for DD, and observed significant associations of dyslexia risk with PGSs for attention deficit hyperactivity disorder (at pT = 0.05 in the training GWAS: OR = 1.23[1.16; 1.30] per standard deviation increase; p = 8 × 10−13), bipolar disorder (1.53[1.44; 1.63]; p = 1 × 10−43), schizophrenia (1.36[1.28; 1.45]; p = 4 × 10−22), psychiatric cross-disorder susceptibility (1.23[1.16; 1.30]; p = 3 × 10−12), cortical thickness of the transverse temporal gyrus (0.90[0.86; 0.96]; p = 5 × 10−4), educational attainment (0.86[0.82; 0.91]; p = 2 × 10−7), and intelligence (0.72[0.68; 0.76]; p = 9 × 10−29). This study suggests an important contribution of common genetic variants to dyslexia risk, and novel genomic overlaps with psychiatric conditions like bipolar disorder, schizophrenia, and cross-disorder susceptibility. Moreover, it revealed the presence of shared genetic foundations with a neural correlate previously implicated in dyslexia by neuroimaging evidence. ; Publisher PDF ; Peer reviewed