https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7473 21) with self-reported diabetes were recruited by convenience sampling at a public event organized by Diabetic Society of Singapore to commemorate the World Diabetes Day. Correlation between diabetes knowledge (measured using the General Diabetes Knowledge Test (GDKT), score range 0-100) and HRQoL (measured using the Audit of Diabetes-dependent Quality of life (ADDQoL), score range 0~100;EQ-5D, score range-0.594 to 1) were studied using Pearson correlation coefficients. The relationship between diabetes knowledge and HRQoL was studied using 3 separate multiple linear regression (MLR) models with HRQoL scores as dependent variable and GDKT score as independent variable. No adjustment was made in the first MLR model,while socioeconomic variable(s) and socioeconomic and medical status variables were adjusted respectively in the other 2 models. Results: Data from 42 subjects with complete responses were analyzed (mean (SD) age:53.0(9.61) years, 45% female, 90% with >6 years of education, 64.3% with other chronic medical conditions, 40.5% with diabetes complications). Mean (SD) GDKT, ADDQoL and EQ-5D scores were 33.1(3.53), 46.9(18.56) and 0.9(0.15) respectively. Correlations between diabetes knowledge and ADDQoL and EQ-5D scores were 0.26 and 0.30 respectively. A comparatively modest predictive power of diabetes knowledge was found to explain the variances in ADDQoL and EQ-5D of around 12% (Model II). Conclusion: Our results showed diabetes knowledge to be modestly correlated with both diabetes-specific and generic HRQoL, indicating that diabetes knowledge may be useful as a predictor of HRQoL when modeled properly. Yet, further studies utilizing larger sample size would be required to confirm the observation.]]> Wed 11 Apr 2018 10:51:51 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23421 Sat 24 Mar 2018 07:13:54 AEDT ]]>