Listening to Stakeholders' Voices on Funding Social Inclusion in Sport for People with Disabilities-Proposal for Criteria.

The value of sport is extensively documented; however, there are still groups who do not have the opportunity to enjoy the benefits of sport due to lack of investment, particularly important for people with disabilities. A gap persists in understanding the effectiveness of inclusive sport programs in addressing equity-related targets, particularly on the effective methods of financing inclusion in sport for individuals with disabilities. Therefore, providing a platform for stakeholders to express their perspectives becomes crucial. Through focus groups and the World Café approach, the aim of this study was to gather insights from athletes, parents, professionals, and sport club managers regarding the funding of inclusive sport for people with disabilities. A total of 72 participants took part in nine focus groups in Portugal, Slovenia, and Hungary: 27 athletes with disabilities, 22 coaches, other technicians and parents, and 23 club managers/directors. Findings were divided into five topics: (1) perspectives on current funding satisfaction; (2) perspectives on sources and criteria for funding; (3) perspectives on ideal funding; (4) perspectives on ideas to reach decision-makers; and (5) proposals on ideal criteria for funding. Based on these findings, six measurable criteria for fair funding allocation were suggested that could develop a properly weighted system of criteria for decision-makers to assess the allocation of funding among inclusive sport organizations with the potential to catalyze broader policy and societal changes. Additionally, there is a pressing need to develop a funding model for inclusive sport for individuals with disabilities.

Mental health competencies are stronger determinants of well-being than mental disorder symptoms in both psychiatric and non-clinical samples.

The present study aimed to investigate whether the strength of mental health competencies and the severity of mental disorder symptoms, and their interaction, differ in the strength of their associations with several dimensions of well-being in Hungarian adult psychiatric and non-clinical samples. All respondent in the psychiatric sample (129 patients (44 male, 85 female)) and in the non-clinical community sample (253 adults (43 male, 210 female)) completed the Mental Health Test, six measures of well-being and mental health, and the Symptom Checklist-90-Revised. Including both mental health competencies and mental disorder symptoms in a regression model in both samples can predict patients' well-being even more accurately. Mental health competencies were positively related; mental disorder symptoms were negatively related to subjective well-being. In all models and in both samples, mental health competencies were found to be stronger determinants of well-being than mental disorder symptoms. The interaction of mental health competencies and mental disorder symptoms is no more predictive of well-being in either psychiatric or non-clinical samples than when the effects of each are considered separately. The assessment of mental health competencies has an important predictive value for well-being in the presence of psychopathological symptoms and/or mental disorders.

Preliminary validation of the Mental Health Test in a psychiatric sample.

To assist psychiatrists and clinical psychologists to assess their patients' psychological immune competence-based capacities and resources, depending on the mental health disorder diagnosis and the severity of the symptoms, the present study examined the psychometric properties of the Mental Health Test in a psychiatric sample. The research was carried out in four Hungarian healthcare facilities using a cross-sectional design. A total of 331 patients (140 male, 188 female, and 3 who preferred not to disclose their gender) completed the Mental Health Test, six well-being and mental health measures, and the Symptom Checklist-90. Psychiatrists and clinical psychologists reported the mental disorder status of each participant. Confirmatory factor analysis showed a good fit of the five-factor model to the data for the clinical version of the Mental Health Test (CFI = 0.972, RMSEA = 0.034). High internal consistency coefficients (α: 0.70-0.84; ω: 0.71-0.85) and excellent external and content validity were reported. The test is not sensitive to sociodemographic indicators but is sensitive to the correlates of well-being and to the symptoms of different types of mental disorders. Our preliminary findings suggest that the Mental Health Test is a suitable measure for assessing mental health capacities and resources in psychiatric samples.