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.

Mental Health Profiles in Clinical and Non-clinical Samples in Light of the Maintainable Positive Mental Health Theory: Protocol Paper.

Clinical psychology has invested a lot of energy in the thorough examination of the characteristics of mental disorders, but less in the implication of the accessible mental health capacities in the recovery phase. Our aim in the present study is to verify the two-continuum mental health model in clinical and non-clinical samples in the light of the Maintainable Positive Mental Health Theory. A further aim is to investigate the interrelationship between positive mental health and mental disorder by examining various groups of mental disorders with different levels of severity. We also examine the prevalence of the diagnostic categories of the Complete Mental Health Model. Furthermore, we aim to identify mental health profiles and their correlates. In the present paper, we introduce the protocol for the ongoing research. A cross-sectional, case-control design is employed to investigate the two-continuum model of mental health. The clinical sample (n = 400) is recruited from four Hungarian hospitals. The non-clinical sample (n = 400) is collected using an online self-report survey-based research design. The two-continuum model of mental health will be tested using exploratory factor analysis and confirmatory factor analysis, with the symptoms of mental disorders and mental health as outcome variables. We will then separate groups of mental disorders according to the leading symptoms. Analysis of variance will be used to examine mental health as the dependent variable at a certain severity level in different mental disorder groups. Analysis of covariance will be used to identify the effect of different sociodemographic indicators.The prevalence of the diagnostic categories of the Complete Mental Health Model will be calculated and compared using chi-square tests. Finally, mental health profiles will be identified using latent profile analysis. Our study draws attention to the fact that "optimal human functioning" can be understood in ways that includes, and not excludes, people living with mental disorder.