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Dynamic effects of psychiatric vulnerability, loneliness and isolation on distress during the first year of the COVID-19 pandemic

The COVID-19 pandemic’s impact on mental health is challenging to quantify because pre-existing risk, disease burden and public policy varied across individuals, time and regions. Longitudinal, within-person analyses can determine whether pandemic-related changes in social isolation impacted mental health. We analyzed time-varying associations between psychiatric vulnerability, loneliness, psychological distress and social distancing in a US-based study during the first year of the pandemic. We surveyed 3,655 participants about psychological health and COVID-19-related circumstances every 2 weeks for 6 months. We combined self-reports with regional social distancing estimates and a classifier that predicted probability of psychiatric diagnosis at enrollment. Loneliness and psychiatric vulnerability both impacted psychological distress. Loneliness and distress were also linked to social isolation and stress associated with distancing, and psychiatric vulnerability shaped how regional distancing affected loneliness across time. Public health policies should address loneliness when encouraging social distancing, particularly in those at risk for psychiatric conditions.

Leveraging large language models to assist philosophical counseling: prospective techniques, value, and challenges

Large language models (LLMs) have emerged as transformative tools with the potential to revolutionize philosophical counseling. By harnessing their advanced natural language processing and reasoning capabilities, LLMs offer innovative solutions to overcome limitations inherent in traditional counseling approaches—such as counselor scarcity, difficulties in identifying mental health issues, subjective outcome assessment, and cultural adaptation challenges. In this study, we explore cutting‐edge technical strategies—including prompt engineering, fine‐tuning, and retrieval‐augmented generation—to integrate LLMs into the counseling process. Our analysis demonstrates that LLM-assisted systems can provide counselor recommendations, streamline session evaluations, broaden service accessibility, and improve cultural adaptation. We also critically examine challenges related to user trust, data privacy, and the inherent inability of current AI systems to genuinely understand or empathize. Overall, this work presents both theoretical insights and practical guidelines for the responsible development and deployment of AI-assisted philosophical counseling practices.

Group arts interventions for depression and anxiety among older adults: a systematic review and meta-analysis

In this systematic review and meta-analysis, we assessed the efficacy of group arts interventions, where individuals engage together in a shared artistic experience (for example, dance or painting), for reducing depression and anxiety among older adults (> 55 yr without dementia). Fifty controlled studies were identified via electronic databases searched to February 2024 (randomised: 42, non-randomised: 8). Thirty-nine studies were included. Thirty-six studies investigated the impact of group arts interventions on depression (n = 3,360) and ten studies investigated anxiety (n = 949). Subgroup analyses assessed whether participant, contextual, intervention and study characteristics moderated the intervention–outcome relationship. Risk of bias was assessed with appropriate tools (RoB-2, ROBINS-1). Group arts interventions were associated with a moderate reduction in depression (Cohen’s d = 0.70, 95% confidence interval (CI) = 0.54–0.87, P < 0.001) and a moderate reduction in anxiety (d = 0.76, 95% CI = 0.37–1.52, P < 0.001), although there was publication bias in the depression studies. After a trim and fill adjustment, the effect for depression remained (d = 0.42; CI = 0.35–0.50; P < 0.001). Context moderated this effect: There was a greater reduction in depression when group arts interventions were delivered in care homes (d = 1.07, 95% CI = 0.72–1.42, P < 0.001) relative to the community (d = 0.51, 95% CI = 0.32–0.70, P < 0.001). Findings indicate that group arts are an effective intervention for addressing depression and anxiety among older adults.

Genetic architectures of childhood maltreatment and causal influence of childhood maltreatment on health outcomes in adulthood

Childhood maltreatment is increasingly recognized as a pivotal risk factor for adverse health outcomes. However, comprehensive analyses of its long-term impact are scarce. This study aims to fill this gap by examining the genetic architectures of childhood maltreatment and its influence on adult health and socioeconomic outcomes. Utilizing data from the UK Biobank (N = 129,017), we conducted sex-combined and sex-stratified genome-wide association studies to identify genomic loci associated with five childhood maltreatment subtypes. We then performed genetic correlation and Mendelian randomization (MR) analyses to assess the effects of childhood maltreatment on high-burden diseases, healthcare costs, lifespan, and educational attainment. We identified several novel loci for childhood maltreatment, including one locus for sexual abuse in sex-combined analysis, one novel locus for sexual abuse in males, one locus for emotional neglect in females, and one locus for sexual abuse in females. The pairwise genetic correlations between subtypes of childhood maltreatment were moderate to high, and similar patterns of genetic correlations between childhood maltreatment subtypes were observed in males and females. Childhood maltreatment was genetically correlated with ten out of 16 high-burden diseases significantly after multiple testing correction. Moreover, MR analyses suggest childhood maltreatment may increase the risk of age-related and other hearing loss, low back pain, major depressive disorder, and migraine in adulthood, and reduce the lifespan. Our study elucidates the genetic architecture of specific childhood maltreatment subtypes and the influence of childhood maltreatment on health outcomes in adulthood, highlighting the enduring influence of childhood maltreatment on lifelong health consequences. It is important to develop prevention strategies to lower the incidence of childhood maltreatment and provide support and care for victims of childhood maltreatment for better long-term health outcomes in the population.

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