Positive Mental Health: Psychometric Evaluation of the PMHI-19 in a Sample of University Student-Athletes and Dancers

Background: Student-athletes and competitive dancers experience significant physical, psychological, and emotional stress, often coupled with academic and social pressures. These stressors may lead to unhealthy coping mechanisms, negatively impacting mental health, quality of life, and athletic performance. While assessing mental illness is important, measuring positive mental health (PMH) can offer valuable insights into overall well-being and resilience. The positive mental health Instrument (PMHI) was developed to assess PMH, but its psychometric properties in student-athletes and competitive athletes have not been explored. Methods: Collegiate student-athletes and competitive dancers completed a survey, including the PMHI-19 and a demographic questionnaire. Confirmatory factor analysis (CFA) was conducted to assess the factor structure of the PMHI-19. An exploratory factor analysis (EFA) was then conducted to identify a more parsimonious structure. Results: The CFA of the PMHI-19 did not meet recommended model fit indices. EFA resulted in two different parsimonious models: a 4-factor, 11-item model (PMHI-11) and a 3-factor, 9-item model (PMHI-9), both meeting recommended fit indices. Conclusions: The condensed PMHI-11 and PMHI-9 models may be more suitable for use in collegiate athletic populations. Further research is needed to refine these instruments and explore their applicability across diverse athletic groups.