METHODOLOGY: The original risk perception questionnaire, consisting of 22 items, was translated into the local language and culturally adapted. The translation process involved forward translation, expert panel discussions, and back translation to ensure linguistic equivalence. The translated questionnaire was then administered to a sample of palm oil plantation workers in Terengganu, Malaysia, for validation purposes. Confirmatory factor analysis (CFA) was conducted to assess the model fitness of the questionnaire, and Cronbach's Alpha coefficient was calculated to determine the internal consistency reliability of the final model.
RESULTS: The translated risk perception questionnaire demonstrated good model fitness as indicated by CFA results (X2=224, df=79, p-value<0.0001, root mean square error of approximation (RMSEA)=0.07, goodness of fit index (GFI)=0.929, comparative fit index (CFI)=0.902). The questionnaire's final version has one factor comprising 13 items, selected based on factor loadings and theoretical relevance. The internal consistency reliability of the 13-item questionnaire was satisfactory, with a Cronbach's Alpha coefficient of α=0.77.
CONCLUSION: The 13-item risk perception questionnaire demonstrated a good model fit and acceptable internal consistency reliability. It shows that the questionnaire is a valid and reliable tool to evaluate the level of risk perception on safety and health among palm oil plantation workers in Malaysia.
METHOD: The study was a cross-sectional design in nature, using self-reported questionnaires among the university students in Malaysia. Participants were selected using a convenience sampling approach. Perceptions regarding social support and physical environment were assessed using the Malay-translated version scales. The standard forward-backwards translation was conducted to translate the English version of the scales to the Malay version. Confirmatory factor analysis (CFA) was used to validate the translated version scales; composite reliability (CR) and average variance extracted (AVE) were computed.
RESULTS: A total of 857 students participated in this study (female: 49.1%, male: 50.9%). The mean age of the participants was 20.2 (SD = 1.6). The fit indices of the initial hypothesized measurement models (social support and physical environment) were not satisfactory. Further improvements were made by adding covariances between residuals' items within the same factor for each hypothesized model. The final re-specified measurement models demonstrated adequate factor structure for the social support scale with 24 items (CFI = .932, TLI = .920, SRMR = .054, RMSEA = .061), and the physical environment scale with five items (CFI = .994, TLI = .981, SRMR = .013, RMSEA = .054). The CR was .918 for family support, .919 for friend support, .813 for perceived availability, and .771 for perceived quality. The AVEs were .560 for family support, .547 for friend support, .554 for perceived availability, and .628 for perceived quality. The intra-class correlation (ICC) based on test-retest was .920 for family support, .984 for friend support, .895 for availability of facilities, and .774 for quality of facilities.
CONCLUSION: The Malay version of the social support scale for exercise and the physical environment scale for physical activity were shown to have adequate psychometric properties for assessing perceived social support and physical environment among the university students in Malaysia.
PERSPECTIVE: This study presented the psychometric properties of the social support and physical environment scales based on CFA and was the first to translate these scales from the original English version to the Malay version.
METHODS: In a cross-sectional survey, the undergraduate students in Universiti Sains Malaysia were invited to complete the self-administered questionnaires. Participants were selected using a purposive sampling method. The proposed hypothesised model was analysed using a structural equation modelling with Mplus 7.3 program. A total of 788 (70.7% female) undergraduate students with a mean age of 20.2 (SD = 1.02) participated in the study. The primary outcome of knowledge, health beliefs, and health-promoting behaviours related to CVD were measured by questionnaires namely: Knowledge of Heart Disease, Health Beliefs Related to CVD, and Health Promoting Lifestyle Profiles-II.
RESULTS: The final hypothetical structural model showed a good fit to the data based on several fit indices: with comparative fit index (CFI) at .921, standardised root mean square residual (SRMR) at .037, and root mean square error of approximation (RMSEA) at .044 (90% CI: .032, .054). The final structural model supported 13 significant path estimates. These variables explained 12% of the total variance in health-promoting behaviours. Through perceived benefits, total knowledge had an indirect effect on health-promoting behaviours.
CONCLUSION: The results suggest that perceived barriers, perceived benefits, family history of CVD, and screening intention enable young adults to engage in health-promoting behaviours.
METHODS: A cross-sectional study was conducted among 323 medical students in Universiti Sains Malaysia. The students were given questionnaire forms consisting of socio-demographic information, the SAS-M and the Malay version of the Internet Addiction Test (MVIAT). The CFA was conducted using robust maximum likelihood estimator. The internal consistency reliability was determined by Raykov's rho coefficient. The concurrent validity was assessed by the Pearson's correlations between the factor scores of the SAS-M and the MVIAT.
RESULTS: The analysis showed the five-factor model of the SAS-M has an acceptable model fit after the inclusion of 12 correlated errors (SRMR = 0.067, RMSEA 0.059 (90% CI: 0.054, 0.065), CFI = 0.895, TLI = 0.882). The factor loadings ranged from 0.320 to 0.875. The internal consistency reliability was good (Raykov's rho = 0.713 to 0.858) and it showed good concurrent validity with the MVIAT.
CONCLUSIONS: The CFA showed that the SAS-M is a valid and reliable self-administered questionnaire to measure the level of smartphone addiction among medical students.
Methods: A cross-sectional study was conducted among the undergraduate students using a self-administered questionnaire. After using a purposive sampling method, 562 students completed the questionnaire. Mplus 8 was employed to conduct the confirmatory factor analysis on the psychometric properties of Bandura's 18-item SE scale with three factors (internal feeling, competing demands and situational). Then, the composite reliability was calculated for each factor.
Results: Most of the students were Malay (73.3%) females (79.0%) who exercised 2.62 times a week for an average of 43.37 min per session. The final measurement model was obtained after removing six problematic items, and the model was deemed fit based on several indices [Root Mean Square Error of Approximation (RMSEA) = 0.067, Standardised Root Mean Square Residual (SRMR) = 0.004, Comparative Fit Index (CFI) = 0.924]. The composite reliability values of the three factors were acceptable (0.65 to 0.84).
Conclusion: The simplified 12-item SE scale with three factors displayed good fit indices with regard to the data, and they were considered to be acceptable for the current sample.
Methods: This was a cross-sectional validation study. The original English version of the IDAF-4C+ was translated into Malay, back-translated, and then sent for content validation via an expert validation and face validation by the target student population. Three hundred and seventy questionnaires were then distributed among 16-year-old school children. Confirmatory factor analysis (CFA) was conducted for the IDAF-4C module using a bootstrapped maximum likelihood estimator. Spearman's rank correlation was used to assess the relationship between the IDAF-S and IDAF-4C modules. Intraclass correlation (ICC) was used to determine the stability of the IDAF-S and IDAF-4C modules, while kappa values were used for the IDAF-P module.
Results: The response rate was 86.5% for CFA and 76.9% for stability. CFA showed the existence of only one factor with a reliability estimate of 0.921, obtained via Raykov's procedure. All items in the IDAF-S module were significantly correlated with the IDAF-4C module (P < 0.001). The IDAF-S and IDAF-4C modules were stable, as determined via a two-way mixed model with absolute agreement, a single measure and a Case 3 ICC (A, 1). The IDAF-P module showed satisfactory stability, as assessed via kappa values.
Conclusion: The Malay version of the IDAF-4C+ is valid and reliable in measuring dental anxiety and fear among Malaysian secondary school children.
Methods: We searched PubMed and Scopus for attributes of MP, using terms, "Professionalism," "Medical Students," and "Undergraduate Medical Education". We included English language, original research articles with MP attributes from the perspective of undergraduate medical education, any nationality, race, gender, and age range, as the central topic of the article. Papers published from January 1st 1986 to 29th February 2020 were included.
Results: From 1349 identified articles, finally, 18 were included, authored in 10 countries, collectively contributing to answering the scoping review question. Two themes were identified: (1) Nurturing of MP, 11 (61.11%) out of 18 included articles, highlighted "respect" as the most dominant attribute as it appeared in 6 (54.55%) out of 11 reviews, "communication" 5 (45.45 %) studies and "honesty" and "integrity" 4 (36.36%). (2) Assessment of MP, 7 (38.89%) studies, and majority, 4 (57.14 %) assessed MP using American Board of Internal Medicine's elements of MP, viz, "altruism, accountability, excellence, duty, honor and integrity, respect for others."
Conclusions: Themes exemplified MP's most discoursed issues. The attributes are frequently used worldwide. MP deliberates as a commitment toward the individual patient, society, and necessitates transforming from its present generic form to more explicit details.
METHODS: This cross-sectional study utilised data from the Ministry of Health, the Department of Statistics, and the Department of Environment Malaysia. Multilevel logistic regression analysis was employed to examine individual-level factors, including age, sex, ethnicity, nationality, contact history, travel history, and vaccination status. Concurrently, contextual factors were assessed, encompassing district-level determinants such as population density, median household income, urbanisation, the number of health and rural clinics, vaccination rates, fine particulate matter less than 2.5 μm (PM2.5) levels, relative humidity, and temperature, to determine their impact on measles infection risk.
RESULTS: Measles infection was significantly associated with various individual factors. These included age (adjusted odds ratio [aOR], 1.02; 95% confidence interval [CI], 1.02-1.03), ethnicity, non-Malaysian nationality (aOR, 34.53; 95% CI, 8.42- 141.51), prior contact with a measles case (aOR, 2.36; 95% CI, 2.07-2.69), travel history (aOR, 2.30; 95% CI, 1.13-4.70), and vaccination status (aOR, 0.76; 95% CI, 0.72-0.79). Among contextual factors, urbanisation (aOR, 1.56; 95% CI, 1.16- 2.10) and the number of clinics (aOR, 0.98; 95% CI, 0.97-0.99) were significant determinants.
CONCLUSION: This multilevel logistic regression analysis illuminates the complexities of measles transmission, advocating public health interventions tailored to individual and contextual vulnerabilities. The findings highlight the need for a synergistic approach that combines vaccination campaigns, healthcare accessibility improvements, and socioeconomic interventions to effectively combat measles.