Our results confirm and extend the findings of studies from Western societies and strongly support the importance of sleep for HRQoL. ESS, STOP-Bang, ISI scores, all exerted clear effects on PCS and MCS in an individual regression models. Hierarchical analyses showed that after controlling for potential confounding factors (demographics, depression, BMI), sleep quality significantly increased model’s predictive power with an R 2 change (ΔR 2) by 3.5% for PCS (adjusted R 2 = 0.27) and by 2.9% for MCS (adjusted R 2 = 0.48) for the other SF-12 components ΔR 2 ranged between 1.4% and 4.6%. The effect of insomnia severity was more pronounced on MCS, while apnea severity-on PCS. Insomnia and apnea severity were also associated with lower scores on most SF-12 dimensions. All SF-12 components and physical and mental component summaries (PCS, MCS) were significantly lower in poor sleepers, subjects with daytime sleepiness, apnea risk, or insomnia. The prevalence of sleep disorders and their association with HRQoL was considerable. Socio-demographic data and body mass index (BMI) were obtained. 395 volunteers (20–60 years) completed Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, STOP-Bang questionnaire, Insomnia Severity Index, Beck Depression Inventory-Short Form, and Short Form Health Survey (SF-12).
We investigated the prevalence and severity of various sleep disorders and their associations with HRQoL in an urban Georgian population. The extent to which sleep disorders are associated with impairment of health-related quality of life (HRQoL) is poorly described in the developing world.
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