Relationship between Sleep Disorders and Health Related Quality of Life—Results from the Georgia SOMNUS Study

Nato Darchia, Nikoloz Oniani, Irine Sakhelashvili, Mariam Supatashvili, Tamar Basishvili, Marine Eliozishvili, Lia Maisuradze and Katerina Cervena
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Nato Darchia: Research Center—T.Oniani Laboratory of Sleep–wakefulness Study, Ilia State University, 0162 Tbilisi, Georgia
Nikoloz Oniani: Research Center—T.Oniani Laboratory of Sleep–wakefulness Study, Ilia State University, 0162 Tbilisi, Georgia
Irine Sakhelashvili: Research Center—T.Oniani Laboratory of Sleep–wakefulness Study, Ilia State University, 0162 Tbilisi, Georgia
Mariam Supatashvili: Research Center—T.Oniani Laboratory of Sleep–wakefulness Study, Ilia State University, 0162 Tbilisi, Georgia
Tamar Basishvili: Research Center—T.Oniani Laboratory of Sleep–wakefulness Study, Ilia State University, 0162 Tbilisi, Georgia
Marine Eliozishvili: Research Center—T.Oniani Laboratory of Sleep–wakefulness Study, Ilia State University, 0162 Tbilisi, Georgia
Lia Maisuradze: Research Center—T.Oniani Laboratory of Sleep–wakefulness Study, Ilia State University, 0162 Tbilisi, Georgia
Katerina Cervena: Sleep Medicine Center, Division of Pneumology, University Hospital of Geneva, Chêne-Bourg, 1225 Geneva, Switzerland

IJERPH, 2018, vol. 15, issue 8, 1-15

Abstract: The extent to which sleep disorders are associated with impairment of health-related quality of life (HRQoL) is poorly described in the developing world. We investigated the prevalence and severity of various sleep disorders and their associations with HRQoL in an urban Georgian population. 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). Socio-demographic data and body mass index (BMI) were obtained. The prevalence of sleep disorders and their association with HRQoL was considerable. 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. Insomnia and apnea severity were also associated with lower scores on most SF-12 dimensions. The effect of insomnia severity was more pronounced on MCS, while apnea severity—on PCS. 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%. ESS, STOP-Bang, ISI scores, all exerted clear effects on PCS and MCS in an individual regression models. Our results confirm and extend the findings of studies from Western societies and strongly support the importance of sleep for HRQoL. Elaboration of intervention programs designed to strengthen sleep-related health care and thereof HRQoL is especially important in the developing world.

Keywords: health-related quality of life; sleep quality; insomnia; sleep apnea; daytime sleepiness; Georgia (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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