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Adolescents may be more vulnerable to COVID-19-related impacts and require long-term mental health care. Services that bolster emotion regulation, such as mindfulness-based interventions (MBIs) promote positive impacts on psychosocial outcomes and have high acceptability. No studies have assessed feasibility, treatment perceptions and satisfaction of online MBIs with adolescents. 56 moderate- and high-risk adolescent (m = 14.5 years, 66.1% female, 26.8% LatinX) participants tested the feasibility, treatment perceptions and satisfaction of an 8-session online MBI focused on observing non-judgmentally, attending to positivity, and self-soothing. The study achieved acceptable feasibility with high attendance (m = 5.75) and retention rates (87.5%). The moderate- vs. high-risk group reported significantly higher ratings of treatment perceptions (t = 2.03, p < .05, d = 0.60). Significant associations were found between increased pre-test depression and anxiety symptomology and reduced intervention utility (rs = -0.34 and -0.32, ps < .05). This study demonstrated feasibility, treatment perceptions and satisfaction of an online MBI for adolescents presenting with two risk levels. Higher-risk adolescents may need a higher-touch intervention than moderate-risk, who may be more likely to find online MBIs acceptable. The impact of adjunctive MBIs for adolescents on treatment attendance and mental health outcomes over longer periods is necessary to understand patterns in effective adolescent treatment options., Author(s): Morica Hutchison [sup.1] [sup.3] , Beth S. Russell [sup.1] [sup.3] , Kim M. Gans [sup.1] [sup.3] , Angela R. Starkweather [sup.2] Author Affiliations: (1) grid.63054.34, 0000 0001 0860 4915, [...]

The COVID-19 pandemic disproportionately affected low-income families in the U.S., particularly those with young children (Kalluri et al., 2021). This longitudinal study describes the resources, stress, and health and wellbeing of low-income families enrolled in an Early Head Start/Head Start program for two cumulative program years before and during the height of the COVID-19 pandemic. We found having more resources (higher income, higher education levels, full time employment) prior to the onset of COVID-19 was correlated with better wellbeing and lower stress throughout the pandemic. Implications and directions for future research include understanding the specific types of supports that programs like EHS/HS provided during COVID-19 and how families benefitted from them., Author(s): Eleanor Fisk [sup.1] , Beth Russell [sup.2] Author Affiliations: (1) grid.63054.34, 0000 0001 0860 4915, Department of Human Development and Family Sciences, University of Connecticut, , 348 Mansfield Road, [...]

Scales assessing stressor exposure often fail to demonstrate adequate psychometric qualities, demonstrating low interitem reliability or complex factor structures, as would be expected, given that the majority of stressors are independent events. However, in large-scale mass crisis events, the stressors may be highly interrelated, indicating shared experience. Furthermore, few stressor exposure scales also measure appraised stressfulness of those stressors. Development of a psychometrically sound measure of both stressor exposure and appraisal advances the study of highly stressful events such as community-wide crises, especially in providing a useful measure of its cumulative stressfulness. The coronavirus disease 2019 (COVID-19) pandemic is an enduring, worldwide stressor with an indefinite timeline. The COVID-19 Stressor Scale is a 23-item measure of stressor exposure and appraisal related to the pandemic developed within the first weeks of widespread shelter-in-place practices in the Unites States. We present initial psychometric results of the COVID-19 Stressor Scale. Results of a principal components analysis indicate that the measure is unidimensional and has strong internal consistency. Evidence of convergent and discriminant validity were demonstrated. The COVID-19 Stressor Scale is a useful measure for studying the ongoing stressors associated with the pandemic and presents a model for measuring other massive, ongoing crises.

A systematic review explored the creation and maintenance of community coalitions as effective for alcohol and other drug (AOD) prevention in adolescence. Community coalitions influence the implementation of effective and sustainable community-based prevention via infrastructure supporting development, delivery, and assessment of human service issues. For this review, 1,435 articles were identified, most including insufficient detail on the purposes and activities of coalitions or focus on adolescents. Of the 16 studies included, few discussed comprehensive frameworks describing coalition formation and maintenance or measureable influences on adolescent AOD prevention outcomes. Therefore, we propose four organizing principles for building sustainable community coalitions for adolescent AOD prevention.

Childhood exposure to traumatic experiences and subsequent psychological symptoms increase the risk for lifelong behavioral and mental health problems, including depression diagnoses, reduced adaptive coping strategies, substance abuse, and early death, with negative impacts on children's social development and academic achievement. Social-emotional competence (SEC) is a key component of resilience to trauma exposure, and early deficits predict increased problem behaviors include delinquency and substance use. SEC is a protective factor that moderates the relationship between risks associated with trauma and subsequent outcomes. The current study used a longitudinal experimental design (treatment vs. comparison) to examine outcomes from a trauma-informed initiative in a disadvantaged community with high trauma exposure rates for K-8th grade students (n = 245). The intervention focused on bolstering children's social-emotional skills and resilience while reducing trauma symptoms and improving academic performance through multimodal programming. Hierarchical Linear Modeling indicated significant improvements in SEC from the intervention group, in contrast to the comparison group (B = 3.42, t = 3.04, p < 0.01), with gender effects indicating females see the greatest benefit (B = 3.52, t = 4.27, p < 0.01). Results indicated the significance of addressing SEC for children in disadvantaged communities, particularly those indicating a trauma history and resulting symptomology, as well as boys, who indicated reduced treatment effects.

This longitudinal study sought to investigate associations between adolescent substance use and family functioning and whether internalizing symptoms play a mediating role in this relationship; based on growing evidence from the literature, we also explored gender differences. Participants (N = 1,036) completed surveys in school during 2007, 2008, and 2009. Path analysis results indicated that boys' alcohol use negatively predicted family functioning while marijuana use results indicate both significant impacts on family functioning. Further results show that boys' depressive symptoms mediated the relationships between alcohol use and family cohesion and adaptability. For girls, depressive symptoms negatively predicted family functioning (cohesion, adaptability, communication with mother/father), whereas anxiety symptoms positively predicted this same set of family functioning outcomes with the exception of communication with father.

Background: Rapid diagnostic clinics (RDCs) provide a streamlined holistic pathway for patients presenting with non-site specific (NSS) symptoms concerning of malignancy. The current study aimed to: 1) assess the prevalence of anxiety and depression, and 2) identify a combination of patient characteristics and symptoms associated with severe anxiety and depression at Guy's and St Thomas' Foundation Trust (GSTT) RDC in Southeast London. Additionally, we compared standard statistical methods with machine learning algorithms for predicting severe anxiety and depression. Methods: Patients seen at GSTT RDC between June 2019 and January 2023 completed the General Anxiety Disorder Questionnaire (GAD-7) and Patient Health Questionnaire (PHQ-8) questionnaires, at baseline. We used logistic regression (LR) and 2 machine learning (ML) algorithms (random forest (RF), support vector machine (SVM)) to predict risk of severe anxiety and severe depression. The models were constructed using a set of sociodemographic and clinical variables. Results: A total of 1734 patients completed GAD-7 and PHQ-8 questionnaires. Of these, the mean age was 59 years (Standard Deviation: 15.5), and 61.5% (n:1067) were female. Prevalence of severe anxiety (GAD-7 score ≥15) was 13.8% and severe depression (PHQ-8 score≥20) was 9.3%. LR showed that a combination of previous mental health condition (PMH, Adjusted Odds Rario (AOR) 3.28; 95% confidence interval (CI) 2.36-4.56), symptom duration >6 months (AOR 2.20; 95%CI 1.28-3.77), weight loss (AOR 1.88; 95% CI 1.362.61), progressive pain (AOR 1.71; 95%CI 1.26-2.32), and fatigue (AOR 1.36; 95%CI 1.01-1.84), was positively associated with severe anxiety. Likewise, a combination PMH condition (AOR 3.95; 95%CI 2.17-5.75), fatigue (AOR 2.11; 95%CI 1.47-3.01), symptom duration >6 months (AOR 1.98; 95%CI 1.06-3.68), weight loss (AOR 1.66; 95%CI 1.13-2.44), and progressive pain (AOR 1.50; 95%CI 1.04-2.16), was positively associated with severe depression. LR and SVM had highest accuracy levels for severe anxiety (LR: 86%, SVM: 85%) and severe depression (SVM: 89%, LR: 86%). Conclusion: High prevalence of severe anxiety and severe depression was found. PMH, fatigue, weight loss, progressive pain, and symptoms >6 months emerged as combined risk factors for both these psychological comorbidities. RDCs offer an opportunity to alleviate distress in patients with concerning symptoms by expediting diagnostic evaluations. [ABSTRACT FROM AUTHOR]

Objectives: Since the onset of COVID-19 pandemic, additional risk factors affecting family caregivers' mental health have arisen. Therefore, personal stress coping strategies and family dynamics became important factors in reducing the impact of the pandemic on family caregivers' mental health. The present research aimed to estimate the association between COVID-19 stressors and family caregiving burden. Moreover, moderating effects of emotion dysregulation and family functioning on this association were investigated. Methods: This study analyzed data collected in April 2021 from 154 family caregivers (M age = 38.79, SD age = 9.36, range = 22–64) recruited through Amazon's Mechanical Turk (MTurk). The impact of COVID-19 stressors on family caregiving burden was tested, and moderating impacts of emotion dysregulation and family functioning were also investigated. Results: Both COVID-19 stress exposure and stress appraisal were positively associated with family caregiving burden. Emotion dysregulation and problematic family functioning were also positively associated with family caregiving burden. A significant moderating effect of emotion dysregulation was found, such that family caregivers with higher emotion dysregulation were likely to feel more caregiving burden when they experienced more COVID-19 stressors. Significance of results: The current research highlighted the role of emotion regulation in reducing the negative impact of COVID-19 stressors on family caregiving burden. The research also emphasizes the need for intervention programs to improve emotion regulation strategies to decrease family caregiving burden during the pandemic. [ABSTRACT FROM AUTHOR]