Health-Related Quality of Life and Quality of Life in Type 2 Diabetes

Background and objectives: Health-related quality of life (HR-QOL) and quality of life (QOL) are increasingly being examined as outcomes in assessments among patients with type 2 diabetes mellitus. However, there is a lack of standardization in interpreting the two outcomes and insufficient appreciation of the differences between HR-QOL and QOL. This study reports relationships between two instruments of HR-QOL and an instrument of QOL in a cross-sectional study of patients with type 2 diabetes. Methods: Patients with type 2 diabetes at the outpatient clinics of a university hospital completed measures of generic health status (12-item Short-Form Health Survey [SF-12], version 2 and EQ-5D) and diabetes-specific QOL (Audit of Diabetes Dependent Quality of Life [ADDQoL]). Patient-reported data were merged with retrospective clinical data including glycosylated hemoglobin (HbA 1c ), co-morbidities, diabetes complications score, body mass index (BMI), and others, obtained from electronic medical records. A path model of our hypothesized relationships between the physical and psychological components of HR-QOL, overall HR-QOL, and QOL was tested in addition to examining bivariate correlations between these constructs. The fit of the path model was assessed using multiple indexes of fit, including an overall chi-squared (χ 2 ) test, the Comparative Fit Index (CFI), the Tucker-Lewis Index (TLI), and the Root Mean Square Error Approximation (RMSEA). The differences in the association between clinical, medical history and sociodemographic variables with HR-QOL and QOL were explored employing univariate t-tests and ANOVAs as well as multiple regression models. Results: The usable response rate was 44.3% (n=385). The mean HbA 1c of respondents was 7.2% (±1.4), mean duration of diabetes was 10.2 (±9.1) years, and 62.1% were obese (BMI ≥30kg/m 2 ). About 49% of respondents were taking oral medications only, 31.7% were taking oral medications and insulin, and 9.4% were taking insulin only. Spearman correlations of the EQ-5D index were 0.640 with the SF Physical Component Score (PCS)-12, 0.534 with the SF Mental Component Score (MCS)-12, and 0.316 with the ADDQoL (all p>0.001). A path analytic model relating SF-12 scores with EQ-5D index and ADDQoL scores exhibited good fit (χ 2 =1.32; p=0.250; CFI=0.99; TLI=0.99; RMSEA=0.03). Insulin use and diabetes-related complications were significantly associated with poorer scores on all measures. Only ADDQoL scores were significantly better among those with the American Diabetes Association-recommended HbA 1c level of >7.0% (p=0.002). Obesity was significantly associated with impaired SF-12 and EQ-5D index scores but not ADDQoL scores, while depressive symptoms were significantly associated with poorer scores on all these measures. The included explanatory variables explained a greater proportion of the variance in HR-QOL (PCS-12, MCS-12, EQ-5D index ) than in QOL (ADDQoL) scores. Conclusion: The study found that HR-QOL measures showed small correlations with the impact of diabetes on QOL. The fit statistics supported the hypothesized relationships in the path model, and provided empirical evidence that HR-QOL is a subset of QOL. In comparison to HR-QOL, QOL was less explained by the included explanatory variables, suggesting a greater influence on QOL by factors not accounted for in the present study. Copyright Adis Data Information BV 2009