RESUMEN
OBJECTIVE: This study aims to identify risks induced by depression, anxiety, stress, and socio-demographic factors associated with poor glycaemic control among type II diabetes mellitus patients in Kuala Terengganu, Malaysia. METHODS: This cross-sectional study was performed in two Malaysian health clinics by using the Malay version of a self-administered questionnaire. This instrument contains a diabetes care profile, a 21-item version of the Depression Anxiety Stress Scales (DASS21), and a Malaysian Medication Adherence Score (MalMAS). Simple and multiple logistic regression analyses were performed. RESULTS: A total of 338 type II diabetes mellitus patients responded (response rate 93.1%). The proportion of patients with poor glycaemic control was 76.0%. Multiple logistic regression analysis showed that 1) social support scores [Adj. OR (95% CI): 1.06 (1.03,1.10); p = 0.001]; 2) unemployment [Adj. OR (95% CI): 0.46 (0.22,0.95); p = 0.035]; 3) pensioner status [Adj. OR (95% CI): 0.28 (0.13,0.61); p = 0.001]; and 4) perception of diabetes as interfering with daily living activities [Adj. OR (95% CI): 3.18 (1.17,8.70); p = 0.024] were significant factors for poor glycaemic control. CONCLUSIONS: Unemployment, perception of diabetes' interference with daily living activities, and social support are significantly correlated with poor glycaemic control. Further studies assessing other important clinical and psychosocial factors that may influence glycaemic control are suggested. A younger age range of participants is recommended for better outcomes and interventional implementation of findings.
RESUMEN
OBJECTIVES: This study aimed to determine the prevalence of optimal cardiovascular disease (CVD) screening activities and the associated factors among apparently healthy school teachers. METHODS: A cross-sectional analytical observational study was conducted among 380 secondary school teachers in Kelantan, Malaysia. A self-administered questionnaire addressing sociodemographic data and factors influencing CVD screening activities was administered. Descriptive analysis, simple and multiple logistic regression analyses were performed. RESULTS: A total of 348 teachers responded to the questionnaire, with a response rate of 91.6%. The prevalence of optimal CVD screening activities was 29.3% (95% CI: 24.52, 34.08). Age, knowledge of CVD screening, family history of CVD and availability of health facilities were significantly linked to CVD screening. CONCLUSION: The prevalence of optimal screening activities was low. A great majority of the factors contributing to optimal screening were modifiable. Health care providers should widely implement global health-oriented rather than disease-orientated assessment in their daily practice.