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BMC Psychol ; 9(1): 179, 2021 Nov 13.
Article in English | MEDLINE | ID: mdl-34774102

ABSTRACT

BACKGROUND: Given the absence of a brief scale that reconciles and encompasses different conceptual definitions of well-being (physical, psychological, social and spiritual), the present research aimed at developing and validating a Comprehensive Well-Being Scale (CWBS) that encompasses these different conceptual definition and extend the definition of well-being to transcendental well-being among individuals in recovery of mental illness. The present research focuses on testing the scale among people in recovery of mental illness so that a brief and theoretically comprehensive scale would be available for mental health organization to evaluate the well-being of service users, and to develop and evaluate well-being related services. METHODS: A 56-item preliminary well-being scale was developed by a professional panel. In Study 1, 300 mental health service users in Hong Kong were recruited. Twenty items were selected through principal component analysis to form the CWBS. In Study 2, another sample of 300 service users was recruited. Confirmatory factor analysis was done to confirm a two-factor structure. Validity of the scale was also examined. RESULTS: The CWBS yielded good internal consistency (Cronbach's alphas = .79-.91). The finding supported a two-factor structure, namely Intrapersonal Well-Being, and Transpersonal Well-Being, χ2 (169) = 335.61, p < .001, CFI = .90, RMSEA = .06, SRMR = .06. CONCLUSIONS: The CWBS established concurrent and construct validity in assessing well-being among Chinese in recovery of mental illness in Hong Kong. It provided theoretical and practical implications for measuring well-being. Theoretically, it extended the concept of well-being to encompass transcendental well-being in model of recovery among individuals recovery from mental illness. Practically, it provided a tool for evaluation of well-being and service development in mental health organization.


Subject(s)
Mental Disorders , China , Factor Analysis, Statistical , Hong Kong , Humans , Psychometrics , Reproducibility of Results , Surveys and Questionnaires
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