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PDB2 HEALTH-RELATED QUALITY OF LIFE AND SLEEP QUALITY AMONG NORTH INDIAN TYPE 2 DIABETES MELLITUS PATIENTS: EVIDENCE FROM A CROSS-SECTIONAL STUDY

      Objectives

      The objective of this study is to measure the relationship between sleep quality and health-related quality of life (HRQOL), in Indian population with type 2 diabetes mellitus (T2DM).

      Methods

      A cross-sectional study, included total of 300 patients with T2DM included in this study after meeting inclusion criteria. Sociodemographic, anthropometric measures, and biochemical parameters were measured. All participants were responding the sleep quality instruments (PSQI) and EQ-5D-health related quality of life (HRQoL) questionnaires. A PSQI global score ≥5 was defined as poor sleep quality. The score of EQ-5D index ranges from -0.111 to 1, where 1 represents preferred health. EQ-5D is visual analogue scale (VAS), determining the overall health status. Logistic regression analysis was used to examine the association between PSQI and EQ-5D. All the study data were analysed using the Statistical Package for Social Sciences; SPSS software version 20.0. Values of p <0.05 were considered statistically significant.

      Results

      Of the 300 participants, the mean age 57.56. Majority of the participants (55.3%) were identified as “poor sleepers” and female (31.3% contributing higher proportion. Poor sleepers had significantly lower the HRQoL (p < 0.001). After adjustment, poor sleep quality was significantly associated with a lower HRQoL; EQ-5D index (OR= 1.080, 95%, CI: 1.015 - 1.148, p < 0.05), and EQ-5D VAS (OR= 1.092, 95%, CI: 1.021 - 1.176, p < 0.01). Overall the EQ-5D index and EQ-5D VAS were found to be an independent predictors of sleep quality.

      Conclusions

      Findings of this study suggest that poor sleep quality is prevalent in Indian T2DM population, and it imparts negative impact on several dimensions of EQ-5D that characterising the daily activities performance. Therefore, further studies are needed to determine the causal relationship between T2DM patients and measure of objective sleep and their impact on health.