Background: Adverse Childhood Experiences (ACEs) increase risk for negative mental health outcomes in adulthood; however, the mechanisms through which ACEs exert their influence on adult mental health are poorly understood. This is particularly true for Public Safety Personnel (PSP; e.g., police, firefighters, paramedics, etc.), a group with unique vulnerability to negative psychiatric sequalae given their chronic exposure to potentially traumatic, work-related events.
Objectives: To examine the role of moral injury (MI) and emotion regulation in the relation between ACEs and adult mental health symptoms in adulthood.
Participants And Setting: Participants (N = 294) included a community sample of Canadian and American PSP members aged 22 to 65.
Methods: The current study uses cross-sectional data collection via retrospective self-report questionnaires administered between November, 2018 and November, 2019 to assess level of ACEs (ACE-Q), emotion regulation difficulties (DERS) and symptoms of post-traumatic stress (PCL-5), dissociation (MDI), depression, stress, and anxiety (DASS-21). Additionally, participants completed the Moral Injury Assessment for Public Safety Personnel, the first measure of MI developed specifically for PSP.
Results: Path analysis revealed that ACEs significantly predicted adverse mental health symptoms in adulthood; this effect was mediated by symptoms of MI and moderated by difficulties with emotion regulation.
Conclusions: This study is the first to identify MI as a mechanism involved in the relation between ACEs and adult psychopathology and highlights the protective role of emotion regulation skills. These findings can inform the development of future research and clinical interventions in PSP populations.
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http://dx.doi.org/10.1016/j.chiabu.2021.105394 | DOI Listing |
JMIR Form Res
December 2024
Department of Communication, Stanford University, Stanford, US.
Background: Contrary to popular concerns about the harmful effects of media use on mental health, research on this relationship is ambiguous, stalling advances in theory, interventions, and policy. Scientific explorations of the relationship between media and mental health have mostly found null or small associations, with the results often blamed on the use of cross-sectional study designs or imprecise measures of media use and mental health.
Objective: This exploratory empirical demonstration aimed to answer whether mental health effects are associated with media use experiences by (1) redirecting research investments to granular and intensive longitudinal recordings of digital experiences to build models of media use and mental health for single individuals over the course of one entire year, (2) using new metrics of fragmented media use to propose explanations of mental health effects that will advance person-specific theorizing in media psychology, and (3) identifying combinations of media behaviors and mental health symptoms that may be more useful for studying media effects than single measures of dosage and affect or assessments of clinical symptoms related to specific disorders.
J Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Black Dog Institute, University of New South Wales, Sydney, Australia.
Background: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment methods are more effective than traditional methods such as newspapers, media, or flyers is inconsistent. Here we present insights from our experience recruiting tertiary education students for a digital mental health artificial intelligence-driven adaptive trial-Vibe Up.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Background: The potential of telehealth psychotherapy (ie, the online delivery of treatment via a video web-based platform) is gaining increased attention. However, there is skepticism about its acceptance, safety, and efficacy for patients with high emotional and behavioral dysregulation.
Objective: This study aims to provide initial effect size estimates of symptom change from pre- to post treatment, and the acceptance and safety of telehealth dialectical behavior therapy (DBT) for individuals diagnosed with borderline personality disorder (BPD).
J Med Internet Res
January 2025
School of Management, Hefei University of Technology, Hefei, China.
Background: In online mental health communities, the interactions among members can significantly reduce their psychological distress and enhance their mental well-being. The overall quality of support from others varies due to differences in people's capacities to help others. This results in some support seekers' needs being met, while others remain unresolved.
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