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  1. Vaingankar JA, Subramaniam M, Abdin E, Picco L, Chua BY, Eng GK, et al.
    Qual Life Res, 2014 Jun;23(5):1459-77.
    PMID: 24307210 DOI: 10.1007/s11136-013-0589-0
    PURPOSE: The 47-item positive mental health (PMH) instrument measures the level of PMH in multiethnic adult Asian populations. This study aimed to (1) develop a short PMH instrument and (2) establish its validity and reliability among the adult Singapore population.

    METHODS: Two separate studies were conducted among adult community-dwelling Singapore residents of Chinese, Malay or Indian ethnicity where participants completed self-administered questionnaires. In the first study, secondary data analysis was conducted using confirmatory factor analysis (CFA) to shorten the PMH instrument. In the second study, the newly developed short PMH instrument and other scales were administered to 201 residents to establish its factor structure, validity and reliability.

    RESULTS: A 20-item short PMH instrument fulfilling a higher-order six-factor structure was developed following secondary analysis. The mean age of the participants in the second study was 41 years and about 53% were women. One item with poor factor loading was further removed to generate a 19-item version of the PMH instrument. CFA demonstrated a first-order six-factor model of the short PMH instrument. The PMH-19 instrument and its subscales fulfilled criterion validity hypotheses. Internal consistency and test-retest reliability of the PMH-19 instrument were high (Cronbach's α coefficient = 0.87; intraclass correlation coefficient = 0.93, respectively).

    CONCLUSIONS: The 19-item PMH instrument is multidimensional, valid and reliable, and most importantly, with its reduced administration time, the short PMH instrument can be used to measure and evaluate PMH in Asian communities.

    Matched MeSH terms: Mental Health/ethnology*
  2. Vaingankar JA, Subramaniam M, Tan LWL, Abdin E, Lim WY, Wee HL, et al.
    BMC Med Res Methodol, 2018 03 15;18(1):29.
    PMID: 29544448 DOI: 10.1186/s12874-018-0487-9
    BACKGROUND: Measures of mental well-being and positive mental health (PMH) have been largely developed and used in Western populations, however, data on representative Asian communities are lacking. Using data from a population sample, this study sought to establish psychometric properties and norms of the PMH Instrument (PMH-I), a measure of positive mental health developed in Singapore.

    METHODS: We conducted a nationally representative survey among 1925 adults aged 18-79 years of Chinese, Malay, Indian or other ethnicity. Participants reported socio-demographic characteristics and completed the PMH-I along with measures of health-related quality of life (HRQoL) and psychological distress. Construct validity of the PMH-I was assessed using confirmatory factor analysis and concurrent validity was tested through correlation with other psychological measures. Normative PMH values and differences in population subgroups were estimated.

    RESULTS: The six-factor-higher-order structure of the PMH-I comprising six subscales of general coping, emotional support, spirituality, interpersonal skills, personal growth and autonomy and global affect was confirmed. Concurrent validity was shown through significant positive correlation of the total PMH score and its subscales with HRQoL and an inverse correlation with psychological distress. Weighted age, gender and ethnicity-specific norms were derived for the Singapore population. Total PMH was significantly higher in participants aged over 40 years as compared with 18-29 year olds and in non-Chinese ethnic groups as compared with Chinese. These differences were observed for all PMH-I subscales, with the exception of emotional support and interpersonal skills score differences by age. In contrast, gender, marital status, and education level were significantly associated with some of the subscales, but not with total PMH.

    CONCLUSIONS: These results support the psychometric properties of the PMH-I in a multi-ethnic Asian population sample. The generalizable population-based norms support the application of the PMH-I for measuring mental health and assessing its determinants within the Singapore general population.

    Matched MeSH terms: Mental Health/ethnology
  3. Moy FM, Ng YH
    Sci Prog, 2021;104(3):368504211029812.
    PMID: 34260295 DOI: 10.1177/00368504211029812
    The COVID-19 pandemic has disrupted the lives of all including university students. With the preventive measures to reduce the transmission of COVID-19, all face-to-face teaching and learning are converted to e-learning. The COVID-19 pandemic and the implementation of e-learning may influence these students' mental conditions. This study aimed to determine the association of factors with mental health status (depression, anxiety and stress) among university students in Malaysia. Study participants were tertiary education students from both the private and public universities in Malaysia. Participants were recruited via university emails and social media. The survey was administered via the online REDCap platform, from April to June 2020, during the movement control order period in the country. The questionnaire captured data on socio-demographic characteristics, academic information, implementation of e-learning, perception towards e-learning and COVID-19; as well as DASS 21 to screen for depression, anxiety and stress. The levels of stress, anxiety and depression were 56.5% (95% CI: 50.7%, 62.1%), 51.3% (95% CI: 45.6%, 57.0%) and 29.4% (95% CI: 24.3%, 34.8%) respectively. Most participants had good perception towards e-learning but negative perception on COVID-19. From the multivariate analysis, participants with positive perception on COVID-19 were protective towards stress (aOR: 0.96; 95% CI: 0.92, 0.99), anxiety (aOR: 0.94, 95% CI: 0.90, 0.98) and depression (aOR: 0.95; 95% CI: 0.91, 0.99). Older students were 14% (aOR: 0.86, 95% CI: 0.79, 0.94) and 11% (aOR: 0.89: 95% CI: 0.80, 0.99) less likely for anxiety and depression, respectively. Students originated from the Malay ethnicity had higher odds (aOR: 1.93; 95% CI: 1.05, 3.56) for depression. These findings demonstrated that the mental status of university students was greatly affected during the COVID-19 pandemic. Timely and credible information should be disseminated to alleviate their negative perception towards COVID-19.
    Matched MeSH terms: Mental Health/ethnology
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