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 R2 change (ΔR2) by 3.5% for PCS (adjusted R2 = 0.27) and by 2.9% for MCS (adjusted R2 = 0.48); for the other SF-12 components ΔR2 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.

Highlights

  • Current evidence indicates that sleep disorders may contribute to the growing health burden in modern societies

  • We examined the association of the Epworth Sleepiness Scale (ESS), STOP-Bang, and Insomnia Severity Index (ISI) scores with the SF-12 PCS and MCS domains using separate hierarchical regression models

  • A clinical assessment of insomnia was not performed in the current study, we evaluated insomnia based on the ISI score, which has been deemed a reliable instrument for insomnia detection

Read more

Summary

Introduction

Current evidence indicates that sleep disorders may contribute to the growing health burden in modern societies. Insufficient and poor-quality sleep represent high-risk factors for health outcomes such as cardiovascular disease, cognitive impairment, and metabolic dysfunction; poor sleep has been associated with risk-taking behavior, accidents, increased mortality rates, and diminished quality. Res. Public Health 2018, 15, 1588; doi:10.3390/ijerph15081588 www.mdpi.com/journal/ijerph

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call