The investigation of mental health among persons with haemophilia is mostly focused on negative and disease-related indicators. Literature however shows that psychosocial resources and optimal daily functioning can co-exist with chronic disease. The Dual Continua Model operationalizes positive mental health as 'flourishing', a condition comprising emotional, psychological, and social well-being dimensions. In the present study physical and mental health were comparatively assessed through positive and negative indicators in adults with haemophilia and a control group. Participants included 84 Italian persons with severe haemophilia (M = 43.44; SD = 13.04) and 164 adults without history of chronic illness (M = 40.98; SD = 12.26), who completed the Short Form Health Survey, the Positive and Negative Affect Schedule, and the Mental Health Continuum Short Form. MANOVA and post-hoc t-tests provided evidence of worse general health, lower negative affect and higher psychological well-being among participants with haemophilia compared with the control group. Moreover, the percentage of flourishing individuals was higher among participants with haemophilia. Results support previous evidence suggesting that a chronic disease does not prevent mental well-being attainment. The identification of assets and strengths allowing people with haemophilia to flourish can be fruitfully used to design resource-centered interventions.
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http://dx.doi.org/10.1080/13548506.2020.1717556 | DOI Listing |
Biomed Phys Eng Express
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Brain Health Imaging Centre, Centre for Addiction and Mental Health, B68-250 College St, Toronto, Ontario, M5T 1R8, CANADA.
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View Article and Find Full Text PDFAustralas Psychiatry
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Consortium of Australian-Academic Psychiatrists for Independent Policy and Research Analysis (CAPIPRA), Canberra, ACT, Australia.
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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.
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JMIR Ment Health
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Inspire, Belfast, United Kingdom.
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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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