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Stigma towards individuals with mental health concerns is a global issue, including among young people at ultra-high risk (UHR) for psychosis. This study compared two written anti-stigma resources: (a) Education and (b) Lived Experience + Education, among young adults and parents/caregivers.
Parental severe mental illnesses (SMIs), including schizophrenia, bipolar disorder, and major depressive disorder (MDD), can impact children's well-being, yet existing meta-analyses are limited in scope and methodology and do not comprehensively assess cognitive and academic performance in offspring across SMIs.
According to the Cognitive Emotional Model of Non-Suicidal Self-Injury (NSSI), this behavior is governed by a complex interplay of NSSI-related cognitions (i.e., a person's expected outcomes of self-injury and self-efficacy to resist NSSI) and emotion-regulatory strategies (i.e., cognitive reappraisal and expressive suppression). To empirically test this proposition, the current study examined the moderating roles of self-efficacy to resist NSSI, cognitive reappraisal, and expressive suppression in the relationships between outcome expectancies and NSSI frequency among university students.
Men’s Sheds offer promising sites for unique health promotion opportunities, and while prior work has identified potential mechanisms that may support wellbeing, these mechanisms are yet to be empirically clarified in the Men’s Shed context. This study investigated the relationships between engagement in Men’s Sheds, social identification, social connectedness, social support, and wellbeing outcomes in Men’s Shed members in Western Australia.
With young adults' rates of mental health problems alarmingly high, understanding resilience characteristics that help young people adapt, adjust, and even thrive in the face of stress is a pressing need. This study takes a daily diary approach, examining four resilience factors, measured a priori, covering multiple domains. Young adults' daily stress responses (reactivity, recovery, inertia) during the globally stressful lockdown period three years later were then explored as key outcomes.
To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify trends and potential gaps in the literature, examine methodological limitations and highlight future research directions.
In this scoping review, we explore the concept of human thriving in work populations that are repeatedly exposed to high stress, elevated threat, and potential trauma-professions such as first responders and front-line military personnel. The concept of thriving, defined as the joint experience of development and success, shares some similarities with other psychological concepts (e.g., resilience, posttraumatic growth, flourishing), but is distinct due to the consideration of physical wellbeing, and success (e.g., performance).
We aimed to assess perceived stress and influencing factors in mothers with children at risk of type 1 diabetes and coeliac disease who did, or did not, develop islet autoantibodies or coeliac autoantibodies by 4 years of age.
Young men aged 18-25 years are at disproportionately increased risk for gambling problems compared to their older or female counterparts. The unique mechanisms that precipitate these problems in this group remain unclear. Data from the largest longitudinal cohort study on Australian men's health (the Ten to Men Study) were used to identify the psychosocial, health-related, and gambling-related behavioral predictors of problem gambling severity in 265 young men aged 18-25 years. Hierarchical multiple ordinal logistic regression analyses found these predictors to explain a moderate proportion of variance in problem gambling severity.
Stigma and self-stigma reduce self-esteem and increase hopelessness and suicidality. While psychotic disorders are widely recognized as the most stigmatizing of all mental health disorders, there is a dearth of research investigating how stigma and self-stigma are experienced by young people at ultra-high risk (UHR) for psychosis.