2024.01 69-2 Cluster Analysis of the Positive and Negative Indicators of Complete Mental Health State Model

This study aimed to understand the cluster distribution of positive and negative indicators for screening mental health patterns and whether they conform to Keyes' claim that positive and negative indicators should be included in the complete mental health state model. The positive mental health indicators included social, emotional, and psychological well-being, which should be measured using the Mental Health Continuum Short Form (MHC-SF). Negative indicators measure the level of symptoms of mental illness concurrently, serving as a complete assessment of whether the individual is in a healthy state of positive and negative mental health indicators. Keyes employed these to distinguish four clusters of people with four mental health modes, of which the incomplete mental health cluster was in the state. Even if they have a negative mental illness, they could have positive mental health and well-being. Although some people do not have negative mental illness, they cannot have positive mental health and well-being. Therefore, Taiwanese scholar Li corresponded to these three well-being developments and selected three operational mental health skills: "Befriend-Mindfulness-Identity" as the Mental Health BMI Well-Being Index questionnaire (mBMI). After using them to evaluate 739 people, it was evident that the scores of the above two questionnaires were significantly correlated, and the mBMI questionnaire total score and Questions B, M, and I could effectively predict the total score, social, emotional, and psychological well-being of the MHC-SF, with a total explanatory power of 30.3%. This test should be used as a simple screening for wellbeing and as a positive mental health screening tool. Additionally, a Depression Scale Screening Tool for Negative Mental Health Depression was combined to explore the complete mental health state model of Taiwanese people. Therefore, in this study, the mBMI questionnaire was selected as a simple tool to measure positive mental health well-being, and the patients’ health questionnaire for depression was used as a screening tool for negative mental health indicators. These are used as positive and negative indicators to test whether a complete or
incomplete mental health state model fits. The questionnaire survey method was used to deliberately sample the data from 739 valid samples, and the cluster analysis method was used for statistical grouping to verify its suitability. According to the results of the aforementioned positive and negative indicators, four meaningful clusters were distinguished, including one complete and three incomplete mental health models. One cluster was "Flourishing type"(46.28%) of high well-being and low depression, which belonged to the complete mental health state model. The other three clusters were incomplete mental health state models. "Fighting type" (31.94%) of high well-being and high depression, "Calm type" (11.10%) of low well-being and low depression, and "Chaos type" (10.69%) of low well-being and high depression could fight for high well-being. It was verified that well-being and depression could be used as positive and negative mental health indicators to screen for complete or incomplete mental health state models. When we identified people with high depression, we encouraged them to refer to the source of high well-being of the "fighting type" group and increase their sense of self-worth by participating in clubs to obtain interpersonal support, find jobs, and earn income. We reminded the "calm type" people with low depression to promote their high well-being to have a complete mental health state. Finally, we monitored positive and negative indicators of mental health using screening tools of the Mental Health BMI Well-Being Index and the Patient Health Questionnaire (PHQ-9) to screen for complete or incomplete mental health states as a reference for promoting positive and negative mental health. The befriend-mindfulness-identity skills should be improved to promote well-being and adjust depression to achieve complete mental health.

Keywords
Befriend-Mindfulness-Identity, cluster analysis, complete mental health state model, depression, mental health BMI index

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