Health, well-being, and psychopathology in a clinical population: Structure and discriminant validity of Mental Health Continuum Short Form (MHC-SF)

Dual-factor Models of Mental Health: A Systematic Review of Empirical Evidence

Objective: Dual-factor models of mental health propose that mental health includes two interrelated yet distinct dimensions - psychopathology and well-being. However, there is no systematization of the evidence following these models. This review aims to address the following research question: what evidence exists using dual-factor models? Method: The current systematic review was conducted using PRISMA guidelines on the following databases: Web-of-science, Scopus, Academic Search Complete, APA PsycArticles, APA PsycInfo, Psychology and Behavioral Sciences Collection, ERIC, and MEDLINE. The screening process resulted in 85 manuscripts that tested the assumptions of dual-factor models. Results: Evidence revealed psychometric substantiation on the two-dimensionality of the dual-factor model, and 85% of the manuscripts provided evidence related to classifying participants into different mental health groups. Most studies showed that the Complete Mental Health or Positive Mental Health group is the most prevalent status group, and longitudinal evidence suggests that most participants (around 50%-64%) remain in the same group across time. Regarding the factors associated with mental health status groups, studies reviewed in this manuscript focus mainly on school-related outcomes, followed by supportive relationships, sociodemographic characteristics, psychological assets, individual attributes, physical health, and stressful events. Conclusions: This review highlights the importance of considering the two dimensions of mental health when conceptualizing, operationalizing, and measuring mental health. Fostering mental health must go beyond reducing symptoms, and practitioners would be able to include well-being-related interventions in their regular practice to improve individuals' mental health outcomes.

An investigation of the dual continua model of mental health in the context of eating disorder symptomatology using latent profile analysis

OBJECTIVE

The dual continua model of mental health suggests that mental well-being and mental illness are two distinct continua that are interrelated in their contributions to overall mental health. This study investigated the dual continua model in individuals with eating disorder symptoms.

METHOD

Female university students (N = 346) completed measures of mental well-being, eating disorder symptomatology, clinical impairment and psychological distress. Confirmatory factor and latent profile analyses were used to derive underlying mental health profiles.

RESULTS

Results revealed two oblique factors representing the mental well-being and eating disorder symptomatology constructs and four unique mental health profiles that were partially consistent with the dual continua model emerged: 'flourishing', 'vulnerable', 'partially symptomatic and content', and 'languishing'. The derived mental health profiles had unique characteristics described by psychological distress and clinical impairment.

CONCLUSIONS

The results did not provide conclusive evidence for the dual continua model as they could also be interpreted in a manner consistent with the unidimensional approach. While the dual continua model is a promising avenue to understand mental health in a way that looks beyond symptoms, these results caution against its rapid adoption and encourage future research to understand how eating disorder symptomatology and positive mental health assets contribute to overall mental health.

Multidimensional Assessment of Strengths and Their Association With Mental Health in Psychotherapy Patients at the Beginning of Treatment

Background

Modern concepts assume that mental health is not just the absence of mental illness but is also characterized by positive well-being. Recent findings indicated a less pronounced distinction of positive and negative mental health dimensions in clinical samples. Self-perceived strengths were associated with markers of mental health in healthy individuals. However, analyses of strengths and their association with different mental health variables in clinical populations are scarce.

Method

A cross-sectional design was conducted at a German outpatient training and research center. 274 patients before treatment (female: 66.4%, mean age = 42.53, SD = 13.34, range = 18-79) filled out the Witten Strengths and Resource Form (WIRF), a multidimensional self-report of strengths, as well as other instruments assessing positive and negative mental health variables. Data was analyzed with structural equation modeling and latent regression analyses.

Results

Confirmatory factor analysis of the WIRF showed good model fit for the assumed three-subscale solution. Regarding mental health, a one-factor model with positive and negative variables as opposite poles showed acceptable fit. A correlated dual-factor model was not appropriate for the data. All WIRF subscales significantly predicted unique parts of variance of the latent mental illness factor (p = .035 - p < .001).

Conclusion

The context-specific assessment of patients' strengths was confirmed and led to an information gain in the prediction of mental health. Results suggest that positive and negative facets of mental health are highly entwined in people with pronounced symptoms. The scientific and practical implications of these findings are discussed.

The Importance of Measuring Mental Wellbeing in the Context of Psychological Distress: Using a Theoretical Framework to Test the Dual-Continua Model of Mental Health

The dual-continua model of mental health suggests that psychological distress and mental wellbeing operate on two distinct yet related continua, both uniquely contributing to overall mental health. Previous literature provides support for the dual-continua model; however, inconsistent methodologies lacking a common theoretical underpinning have led to findings that are difficult to compare across studies. Using archival data, this study aimed to test the following three theoretically derived criteria proposed to accurately examine the dual-continua model: (1) confirming independent existence, (2) disconfirming bipolarity, and (3) quantifying functional independence.

METHOD

In total, 2065 participants (female n = 1193; 57.8%) completed two online assessments (minimum 30 days apart) measuring psychological distress, mental wellbeing, and demographic information.

RESULTS

In total, 1.1% of participants experienced high distress as well as mental wellbeing confirming that psychological distress and mental wellbeing exist independently (Criterion 1). Bipolarity (Criterion 2) was partly disconfirmed: mental wellbeing consistently decreased as symptom severity increased for depression; however, anxiety and stress did not meet bipolarity requirements. Functional independence (Criterion 3) was established: longitudinal analysis found that participants reliably and simultaneously increased (2.7%) or decreased (4.2%) in distress and mental wellbeing, while cross-sectional analysis showed that psychological distress only explained 38% of the variance in mental wellbeing.

DISCUSSION

Findings provide further support for the dual-continua model through analysis of the proposed assessment criteria, suggesting a further need to measure the dual-continua model at the subdomain level, e.g., depression, anxiety, and stress, as opposed to global psychological distress. Validation for the proposed assessment criteria provides important methodological foundations for future studies.

Psychometric Properties of the Mental Health Continuum-Short Form (MHC-SF): A Study With Individuals With Schizophrenia Living in the Community

OBJECTIVE

The Mental Health Continuum-Short Form (MHC-SF) is widely used to measure positive mental health. This study is the first to examine the psychometric properties of the MHC-SF in persons with schizophrenia living in the community.

METHODS

Two hundred thirty-one individuals with schizophrenia living in the community in South Korea filled out the MHC-SF. Confirmatory factor analysis (CFA), bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM were undertaken to examine the factor structure of the MHC-SF.

RESULTS

Results showed that a three-factor bifactor ESEM model yielded better fit than the other alternative models. Indices of internal consistency reliability were acceptable.

CONCLUSION

The results suggest that bifactor ESEM is an appropriate analysis for examining the factor structure of the MHC-SF in individuals with schizophrenia. The findings support the use of the overall MHC-SF scale rather than the use of the subscales in people with schizophrenia.

Deconstructing recovery: A prospective study on well-being, symptom severity and acceptance in patients with major depressive disorders

BACKGROUND

Perceived well-being is key in the recovery from major depressive disorder (MDD). It is however unclear how well-being relates to other aspects of recovery, like depressive symptom severity, acceptance, disease identification and social participation. In patients with MDD we investigated 1) changes in these five concepts over time, 2) which concepts associate with well-being, and 3) whether a relationship between depressive symptoms and well-being is moderated by acceptance, disease identification and social participation.

METHODS

Adult outpatients with MDD (n=77) were administered the Mental Health Continuum-Short Form, the Inventory of Depressive Symptomatology, the Acceptance and Action Questionnaire-II, the Pictorial Representation of Illness and Self Measure, and the Scale Functional Remission before treatment and six months later. Changes over time were tested using paired samples t-tests, associations between concepts were tested with correlations. Regression analyses were used to test moderation effects.

RESULTS

Participants improved on all outcome measures. Well-being correlated moderately with depressive symptom severity (negative correlation) and acceptance at baseline, and strongly at follow-up. At follow-up well-being also correlated moderately with disease identification and social participation. No evidence for moderation was found.

LIMITATIONS

Recruitment in one regional mental health center might limit generalizability. Furthermore, confounding effects of psychiatric comorbidity on recovery and well-being cannot be ruled out.

CONCLUSION

Recovery in patients with MDD is associated with improvement on multiple outcome domains. Symptom severity and acceptance showed the strongest association with perceived well-being. Future studies should explore whether treatments targeting symptom severity and acceptance have the strongest impact on recovery.

Validation of a Kazakhstani Version of the Mental Health Continuum-Short Form

Positive mental health and well-being are significant dimensions of health, employment, and educational outcomes. Research on positive mental health and well-being requires measurement instruments in native languages for use in local contexts and target populations. This study examines the psychometric properties of the Kazakhstani version of the Mental Health Continuum—Short Form (MHC-SF), a brief self-report instrument measuring emotional, social, and psychological well-being. The sample included 664 University students (425 females) purposefully selected in three higher education institutions in South, East, and Central Kazakhstan. Their average age was 20.25 and ranged from 18 to 43. Participants completed a Kazakhstani version of the MHC-SF online. Statistical analyses to evaluate the structural validity, reliability, and measurement invariance of the Kazakhstani version of the MHC-SF were performed. The results confirmed the superiority of the bifactor model (i.e., three separated factors of well-being plus a general factor of well-being) over the alternatives. However, most of the reliable variance was attributable to the general well-being factor. Subscale scores were unreliable, explaining very low variance beyond that explained by the general factor. The findings demonstrated the measurement invariance of the MHC-SF across gender and age. Overall, these findings support the use of the Kazakhstani version of the MHC-SF to examine a general factor of well-being and the measurement invariance of the instrument across gender and age groups. However, the results advise against the interpretation of the subscale scores as unequivocal indicators of emotional, social, and psychological well-being.

Testing the Differential Impact of an Internet-Based Mental Health Intervention on Outcomes of Well-being and Psychological Distress During COVID-19: Uncontrolled Intervention Study

BACKGROUND

During COVID-19, the psychological distress and well-being of the general population has been precarious, increasing the need to determine the impact of complementary internet-based psychological interventions on both positive mental health as well as distress states. Psychological distress and mental well-being represent distinct dimensions of our mental health, and congruent changes in outcomes of distress and well-being do not necessarily co-occur within individuals. When testing intervention impact, it is therefore important to assess change in both outcomes at the individual level, rather than solely testing group differences in average scores at the group level.

OBJECTIVE

This study set out to investigate the differential impact of an internet-based group mental health intervention on outcomes of positive mental health (ie, well-being, life satisfaction, resilience) and indicators of psychological distress (ie, depression, anxiety, stress).

METHODS

A 5-week mental health intervention was delivered to 89 participants using the Zoom platform during 2020. Impact on outcomes of distress, well-being, and resilience was assessed at the start and end of the program with multiple analysis of variance (MANOVA) and reliable change indices (RCIs) being used to determine program impact at the group and individual levels, respectively.

RESULTS

The intervention significantly improved all mental health outcomes measured, (F6,83=5.60, P<.001; Wilks Λ=.71; partial η2=.29) showing small to moderate effect sizes on individual outcomes. The largest effect sizes were observed for life satisfaction and overall well-being (η2=.22 and η2=.2, respectively). Larger effect sizes were noted for those with problematic mental health scores at baseline. A total of 92% (82/89) of participants demonstrated reliable change in at least one mental health outcome. Differential response patterns using RCI revealed that more than one-half of the participants showed improvement in both mental well-being and psychological distress, over one-quarter in outcomes of well-being only, and almost one-fifth in distress only.

CONCLUSIONS

The results provide evidence for the significant impact of an internet-based mental health intervention during COVID-19 and indicate the importance of assessing dimensions of both well-being and distress when determining mental health intervention effectiveness.

The relationship between depressive symptoms, general psychopathology, and well-being in patients with major depressive disorder

OBJECTIVE

In mental health care, treatment effects are commonly monitored by symptom severity measures. This study aimed to investigate the relationship between symptom severity and well-being in the treatment of patients with major depressive disorder (MDD).

METHODS

Adult MDD outpatients (n = 77) were administered the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR), the Outcome Questionnaire (OQ-45), and the Mental Health Continuum-Short Form (MHC-SF) before treatment and 6 months later.

RESULTS

Symptom severity correlated moderately with well-being at baseline and strongly at follow-up. Reliable change index scores showed improvement on the QIDS-SR, OQ-45, and MHC-SF in 65%, 59%, and 40%, respectively. A quarter of patients improved in symptom severity but not well-being (Inventory of Depressive Symptomatology-Self-Report [IDS-SR]: 25%; OQ-45: 24%).

CONCLUSION

Findings suggest that symptom severity and subjective well-being are related, but distinct concepts. Several reasons for the stronger improvements in symptoms than in well-being are discussed.

Well-being in Patients with Affective Disorders Compared to Nonclinical Participants: A Multi-Model Evaluation of the Mental Health Continuum-Short Form

OBJECTIVES

The Mental Health Continuum-Short Form (MHC-SF), measuring emotional, social, and psychological well-being, has scarcely been validated in clinical populations. We evaluated MHC-SF in 203 patients with affective disorders and 163 nonclinical participants.

METHOD

Traditional confirmatory factor analysis (CFA), bifactor CFA, three-factor exploratory structural equation modeling (ESEM), and bifactor ESEM models were compared. Convergent/discriminant validity was tested against classic well-being validators and current mood state.

RESULTS

All three subscales were significantly lower in patients. Test-retest reliability in patients was moderate. Bifactor ESEM fitted data best and displayed full scalar gender and partial scalar invariance across groups. Factor strength indices suggested that MHC-SF is primarily unidimensional, especially in patients. However, subscales differed considerably on size, internal consistency, distinctness, discriminant validity, and temporal stability.

CONCLUSIONS

MHC-SF was valid and reliable for monitoring well-being in both clinical and nonclinical samples, but further research is needed before safely concluding on its dimensionality.

How Art Therapists Observe Mental Health Using Formal Elements in Art Products: Structure and Variation as Indicators for Balance and Adaptability

In clinical practice, formal elements of art products are regularly used in art therapy observation to obtain insight into clients' mental health and provide directions for further treatment. Due to the diversity of formal elements used in existing studies and the inconsistency in the interpretation, it is unclear which formal elements contribute to insight into clients' mental health. In this qualitative study using Constructivist Grounded Theory, eight art therapists were interviewed in-depth to identify which formal elements they observe, how they describe mental health and how they associate formal elements with mental health. Findings of this study show that art therapists in this study observe the combination of movement, dynamic, contour and repetition (i.e., primary formal elements) with mixture of color, figuration and color saturation (i.e., secondary formal elements). Primary and secondary elements interacting together construct the structure and variation of the art product. Art therapists rarely interpret these formal elements in terms of symptoms or diagnosis. Instead, they use concepts such as balance and adaptability (i.e., self-management, openness, flexibility, and creativity). They associate balance, specifically being out of balance, with the severity of the clients' problem and adaptability with clients' strengths and resources. In the conclusion of the article we discuss the findings' implications for practice and further research.