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.

Corrigendum: A new complex mental health test in a positive psychological framework.

[This corrects the article DOI: 10.3389/fpsyg.2022.775622.].

Comparison of typical Thai and Hungarian personality profiles using the Zuckerman-Kuhlman-Aluja Personality Questionnaire.

The aim of our study was to compare typical Thai and Hungarian personality profiles of the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ). 672 Thai and 647 Hungarian were included in our study. The distribution of age, gender and education level were matched. The ZKA-PQ was administered that measures Aggression, Extraversion, Activity, Sensation Seeking and Neuroticism. We tested reliability, the structural invariance and analyzed aggregated mean profiles for cultures as well as typical profiles by cluster analyses. Reliability of factors were acceptable in both cultures, but some facets (especially AC3 Restlessness) showed low reliability. The global Tucker's coefficient of congruence (TCC) for cross-cultural factorial invariance was 95. We have also run a Multigroup Confirmatory Factor Analysis, but fit indices were not adequate. Cross-cultural neural network invariance was not met either. Hungarians scored significantly higher on Extraversion, Sensation Seeking, Aggression and Activity. Cluster-analyses revealed six typical profiles: Introverted impulsive, Reserved, Resilients, Overcontrolled, Aggressive impulsive and Positive sensation seeker. Majority of first two clusters were Thai respondents, majority for last two clusters were Hungarians. In sum, there were some cross-cultural congruence in factor structure, but strict invariance was not fulfilled. Comparison of mean profiles remain tentative, but cluster analysis revealed cross-cultural differences in typical profiles.

Psychological resilience and competence: key promoters of successful aging and flourishing in late life.

Many individuals, both in the public and within the field of psychology, often perceive aging as a burden that negatively impacts intellectual and mental health. Our present study aims to challenge this notion by identifying the crucial components of positive mental health in later life. These components not only promote positive mental health but also actively contribute to it, even under difficult circumstances. To accomplish this, we first offer a concise review of well-being and mental health models that highlight the psychological aspects of flourishing in late life. We then introduce a psychological competence-based model for positive mental health, which aligns with the concept of positive aging. Subsequently, we present a measurement tool suitable for practical applications. Finally, we provide a comprehensive overview of positive aging, drawing on methodological guidelines and existing research findings concerning sustainable positive mental health in later life. We examine the evidence indicating that psychological resilience (the capacity to adapt and recover from adversity or stress) and competence (skills and abilities to effectively cope with challenges across various life domains) significantly contribute to slowing down biological aging processes. Furthermore, we discuss insights into the relationship between psychological factors and aging derived from research on Blue Zones (regions characterized by a higher proportion of individuals experiencing longer, healthier lives).

Seeds that bloom on stony ground - Concept paper of the future perspectives of the unexploited capacities of positive clinical psychology in Hungary.

Positive psychology has fully examined the flourishing among healthy people but neglected to understand how "optimal human functioning" can apply to the life experiences of a vulnerable person. Considering methodological issues, this article gives a brief overview on how the conceptualization of mental health and mental disorders affects the consideration of strengths along with the presence of dysfunction with the emergence of positive psychology. First, we summarize the shortcomings of the applicability of clinical positive psychology, focusing especially on Hungarian clinical practice. Second, we discuss the problems with the conceptualization of mental health in positive psychological framework. Third, we propose a model, the Maintainable Positive Mental Health Theory based on capacities and competences. Finally, we conclude with methodological questions and present a research protocol. The key finding of our review is that the opportunity exists for psychiatrists and psychologists to embrace disability as part of human experiences and to show how people with vulnerabilities can be supported to recover. (Neuropsychopharmacol Hung 2022; 24(3): 113-119).

A new complex mental health test in a positive psychological framework.

According to the Maintainable Positive Mental Health Theory (MPMHT), the main pillars of positive mental health are global well-being, efficient coping that enables an individual to maintain positive conditions and functioning, savoring capacity, resilience, and dynamic self-regulation. This study presents the validation of a new five-scale mental health test (MHT), the MHT that operationalizes MPMHT. The methodology comprised two online cross-sectional studies using self-report questionnaires. Participants in Study I (n = 1,736; 448 males, 1,288 females; mean age 51.3 years; SD = 11.6 years) filled in the MHT, the Flow, the Positive emotions, Engagement, Positive Relationship, Meaning, Accomplishment Questionnaire (PERMA-Profiler), and the Flourishing Scale. Participants in Study II (n = 1,083; 233 males, 847 females; mean age 33.9 years; SD = 12.2 years) filled in the MHT, the Shortened Aspiration Index, the short form of the Beck Depression Inventory, the WHO Well-Being Index, the Satisfaction with Life Scale, the Purpose in Life Test, and the Schema Questionnaire-Short Form. Exploratory factor analysis (EFA) identified a five-factor structure with 17 items in Study I that was confirmed with excellent fit measures in confirmatory factor analysis in Study II. Both studies indicated a high level of internal consistency (above 0.70). In each subscale, a minimum part of 44% did not overlap with the set of the other subscales. The content validity of the subscales was confirmed by 10 tests of mental health. We found a positive correlation of the self-regulation and resilience subscales with age, while women showed a higher level of savoring than men at all age levels. When Study I was replicated after 2 weeks and again after 11 months, excellent internal consistency and good test-retest correlation values of the MHT scales were found. The MHT can thus be considered a reliable and valid measurement tool for mental health.

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.