BackgroundSelf-efficacy has been shown to be positively correlated with self-care behaviour and glycaemic control among patients with type 2 diabetes mellitus. However, such evidence is lacking in the Malaysian primary care setting. The objectives of this study were to i) determine the levels of self-efficacy, self-care behaviour and glycaemic control among patients with type 2 diabetes mellitus in the Malaysian primary care setting ii) determine the relationship between self-efficacy, self-care behaviour and glycaemic control iii) determine the factors associated with glycaemic control.MethodsThis was a cross-sectional study involving patients with type 2 diabetes mellitus from two public primary care clinics in Malaysia. Self-efficacy and self-care behaviour levels were measured using previously translated and validated DMSES and SDSCA questionnaires in Malay versions, respectively. Glycaemic control was measured using HbA1c.ResultsA total of 340 patients with type 2 diabetes mellitus were recruited. The total mean (±SD) of self-efficacy and self-care behaviour scores were 7.33 (±2.25) and 3.76 (±1.87), respectively. A positive relationship was found between self-efficacy and self-care behaviour (r 0.538, P < 0.001). Higher self-efficacy score was shown to be correlated with lower HbA1c (r − 0.41, P < 0.001). Multiple linear regression analysis demonstrated that higher self-efficacy scores (b − 0.398; 95% CI: -0.024, − 0.014; P < 0.001), shorter duration of diabetes (b 0.177; 95% CI: 0.002, 0.007; P < 0.001) and smaller waist circumference (b 0.135; 95% CI: 0.006, 0.035; P = 0.006), were significantly associated with good glycaemic control.ConclusionThis study demonstrated that higher self-efficacy was correlated with improved self-care behaviour and better glycaemic control. Findings of this study suggest the importance of including routine use of self-efficacy measures in the management of type 2 diabetes mellitus in primary care.Electronic supplementary materialThe online version of this article (10.1186/s12875-018-0725-6) contains supplementary material, which is available to authorized users.
Background Non-alcoholic fatty liver disease (NAFLD) is an emerging novel cardiovascular disease (CVD) risk factor. It’s prevalence is increasing globally. However, there is paucity in the evidence showing the association between NAFLD and CVD risk in primary care setting. Therefore, the objectives of this study were to determine the prevalence and factors associated with NAFLD among patients with ≥1 risk factor for NAFLD or CVD attending primary care clinics. Methodology A cross sectional study was conducted in two clinics at a university primary care centre. Patients aged ≥18 years with ≥1 risk factor for NAFLD or CVD were recruited. Participants with history of established liver disease or chronic alcohol use were excluded. Socio-demographics, clinical related data, anthropometric measurements and blood investigation results were recorded in a proforma. Diagnosis of NAFLD was made using abdominal ultrasound. The 10-year CVD risk was calculated using the general Framingham Risk Score (FRS). Multiple logistic regression (MLogR) was performed to identify independent factors associated with NAFLD. Results A total of 263 participants were recruited. The mean age was 52.3 ± 14.7 years old. Male and female were equally distributed. Majority of the participants were Malays (79.8%). The overall prevalence of NAFLD was 54.4% (95%CI 48,60%). Participants in the high FRS category have higher prevalence of NAFLD (65.5%), followed by those in the moderate category (55.4%) and the low category (46.3%), p = 0.025. From MLogR, independent factors associated with NAFLD were being employed (OR = 2.44, 95%CI 1.26,4.70, p = 0.008), obesity with BMI ≥27.5 (OR = 2.89, 95%CI 1.21,6.91, p = 0.017), elevated fasting glucose ≥5.6 mmol/L (OR = 2.79, 95%CI 1.44,5.43, p = 0.002), ALT ≥34 U/L (OR = 3.70, 95%CI 1.85,7.44, p < 0.001) and high FRS category (OR = 2.82, 95%CI 1.28,6.23, p = 0.010). Conclusion NAFLD is highly prevalent among patients with ≥1 risk factor for NAFLD or CVD in these primary care clinics. Patients who were obese, have elevated fasting glucose, elevated ALT and in the high FRS category were more likely to have NAFLD. This study underscores the importance of targeted screening for NAFLD in those with risk factors in primary care. Aggressive intervention must be executed in those with NAFLD in order to reduce CVD complications and risk of progression.
Introduction: Computer Vision Syndrome Scale 17 (CVSS17) is a questionnaire to measure computer-related visual and ocular symptoms among video display terminal workers. This study aimed to translate CVSS17 into Malay languag and determine its psychometric properties among video display terminal workers. Materials and Methods: This was a cross-sectional validation study involving 206 workers in Universiti Teknologi MARA UiTM Selayang and Sungai Buloh Campus. The English version of the CVSS17 questionnaire is a 17-item scale measuring two key factors, which are internal symptom factors (11 items) and external symptom factors (6 items). The CVSS17 underwent forward-backward translation, face validation, and field testing to produce the Malay version. Validity of the items assessing psychometric properties was performed using exploratory factor analysis. The reliability testing was performed using internal consistency and test-retest reliability. Results: The validated CVSS17-Malay version retained all 17 items with acceptable factor loadings. There were 13 items in the external, and 4 items in the internal symptom factors domain. In comparison to the original version, 4 items (A2, A22, A28, A30) were swapped from internal to external symptom factors and 2 items (C16 and C23) swapped from external to internal symptom factors. The changes of these items into different domains were discussed. The overall Cronbach’s α was 0.867 and the intraclass correlation coefficient was 0.866. The Kaiser-Meyer-Olkin was 0.928, and Bartlett’s test of sphericity was p-value <0.001. Conclusion: The CVSS17 Malay version is valid, reliable, and stable over time, to be used in measuring computer vision syndrome among Malay-speaking workers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.