Background: The association between SHA and negative mental health increases the need to understand risk factors for SHA victimization, which is important for future development of prevention programs.
Objective: To examine which combinations of demographic- and mental health factors were associated with subsequent SHA victimization, and the prevalence of elite athletes, recreational athletes, and reference students who experienced sexual revictimization.
Participants And Setting: Norwegian elite athletes and recreational athletes attending sport high schools, and reference students attending non-sport high schools (mean age: 17.1 years) were eligible for participation.
Methods: The participants answered an online questionnaire at two measurement points one year apart, T1 and T2 (n = 1139, 51.1 % girls). After testing for measurement invariance, data were analyzed with Classification and Regression Tree analysis (CRT) using demographic- and mental health variables from T1 as independent variables, and SHA at T2 as outcome.
Results: The combination of being a girl with high level of symptoms of eating disorders and other psychological symptoms was associated with subsequent reporting of SHA. Among the students with lifetime experience of SHA at T1 (n = 533, 58.3 %), 49.5 % reported revictimization at T2 (60.9 % girls, 32.2 % boys, p ≤ .001). The prevalence of SHA revictimization was lower among elite athletes (44.3 %) compared with recreational athletes (49.1 %) and reference students (59.4 %, p = .019).
Conclusion: The combination of female gender and mental health symptoms are risk factors for subsequent SHA victimization. These findings, and the high prevalence of SHA revictimization is important knowledge for developing preventive programs targeting elite athletes, recreational athletes, and reference students.
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http://dx.doi.org/10.1016/j.chiabu.2023.106592 | DOI Listing |
Biomed Phys Eng Express
January 2025
Brain Health Imaging Centre, Centre for Addiction and Mental Health, B68-250 College St, Toronto, Ontario, M5T 1R8, CANADA.
Objective: Arterial sampling for PET imaging often involves continuously measuring the radiotracer activity concentration in blood using an automatic blood sampling system (ABSS). We proposed and validated an external delay and dispersion correction procedure needed when a change in flow rate occurs during data acquisition. We also measured the external dispersion constant of [11C]CURB, [18F]FDG, [18F]FEPPA, and [18F]SynVesT-1.
View Article and Find Full Text PDFAustralas Psychiatry
January 2025
Consortium of Australian-Academic Psychiatrists for Independent Policy and Research Analysis (CAPIPRA), Canberra, ACT, Australia.
Objective: The Australian Institute of Health and Welfare publishes statistical indicator reports on the specialised mental health workforce. These include data for 2022-2023 on psychiatrists, mental health nurses, mental health occupational therapists, psychologists and mental health social workers. We provide a brief commentary on these reports, reflecting upon the implications of such changes for psychiatric practice and patient care.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
JMIR Ment Health
January 2025
Inspire, Belfast, United Kingdom.
Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.
Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
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