METHODS: A set of survey consisted of the Malay-version PSQ, General Health Questionnaire (GHQ-12), Job Content Questionnaire (JCQ), Global Stress Questionnaire (GSQ) and General Self-rated Health (GSRH) were distributed to 300 traffic police officers in Kuala Lumpur and all traffic police officers in a few districts of Pahang and Negeri Sembilan.
RESULTS: The response rate was 65.5% (N = 262). The reported Cronbach's alpha coefficient was 0.93 for Operational PSQ (PSQ-Op) and 0.94 for Organisational PSQ (PSQ-Org). Findings indicated that the PSQ had positive construct validity with the GSRH, GSQ, and GHQ. After excluding four factors related to lifestyles, all police-specific stressors were highly loaded (0.50) in one component.
CONCLUSION: It is confirmed that the Malay-version PSQ, excluding the four factors related to lifestyle, was uni-dimensional, reliable, and a valid questionnaire. This study proffers a potentially better instrument for assessing the stressors among Malaysian police.
Methods: We assessed study-related records to determine the pace of data collection, response from potential participants, and feedback following data and sample collection. Overall and stratified measures of data and sample availability were summarised. Crude prevalence of key risk factors was examined.
Results: Approximately half (49.5%) of invited individuals consented to participate in this study, for a final sample size of 203 (161 adults and 42 children). Women were more likely to consent to participate compared with men, whereas children, young adults and individuals of Malay ethnicity were less likely to consent compared with older individuals or those of any other ethnicity. At least one biological sample (blood from all participants - finger-prick and venous [for serum, plasma and whole blood samples], hair or urine for adults only) was successfully collected from all participants, with blood test data available from over 90% of individuals. Among adults, urine samples were most commonly collected (97.5%), followed by any blood samples (91.9%) and hair samples (83.2%). Cardiometabolic risk factor burden was high (prevalence of elevated HbA1c among adults: 23.8%; of elevated triglycerides among adults: 38.1%; of elevated total cholesterol among children: 19.5%).
Conclusions: In this study, we show that it is feasible to create biodata resources using existing HDSS frameworks, and identify a potentially high burden of cardiometabolic risk factors that requires further evaluation in this population.