Publication:
Assessment of the risk of obstructive sleep apnoea syndrome among healthcare workers

No Thumbnail Available

Date

2019-01-01

Authors

Karadağ, Mehmet

Authors

Güçlü, Özge Aydın
İntepe, Yavuz Selim
Acican, Turan
Arslan, Sertaç
Sertoğullarından, Bünyamin

Journal Title

Journal ISSN

Volume Title

Publisher

Turkish Assoc Tuberculosis & Thorax

Research Projects

Organizational Units

Journal Issue

Abstract

Introduction: Sleep deprivation is known to increase the risks for workplace accidents, neuro-behavioural symptoms and reduced quality of life. Shift work leads to sleep related problems, such as sleep deprivation, poor sleep quality and daytime sleepiness. The purpose of our study is to assess snoring prevalence and obstructive sleep apnoea risk among healthcare workers (HCWs) by using the Berlin Questionnaire.Materials and Methods: HCWs employed at different centres that agreed to take part in this study were enrolled. Employing the Berlin Questionnaire, demographic characteristics, smoking histories, comorbidities, on-call shifts, number of on-call shifts and sleep durations of the participants were surveyed.Results: 604 HCWs including specialist, nurse, junior doctor, medical student, clinical academic, health technician and hospital staff were enrolled in this study. In terms of sleep apnoea, 92 (15.1%) participants were identified as high-risk and 512 (84.8%) as low-risk according to the findings of the questionnaire. When the two groups identified as high and low risk for sleep apnoea according to the Berlin Questionnaire were compared, significant differences were found between the two groups in terms of age, sex, height, weight, BMI value and hypertension (p< 0.001 for all variables). Multivariate logistic regression analysis has shown that on-call shifts (OR=0.199, CI=0.053-0.747, p=0.017) are negative associated with sleep apnoea risk.Conclusion: With extended working hours and on-call shifts increasing the risk of sleep disorders among HCWs, surveys designed for screening can be used to identify the prospective cases in this population for further examination.

Description

Keywords

Berlin questionnaire, Cigarette-smoking, Identify patients, Prevalence, Hypertension, Epidemiology, Population, Disorders, Symptoms, Nurses, Shift work, On-call shifts, Healthcare workers, Berlin questionnaire, Sleep apnoea, Science & technology, Life sciences & biomedicine, Respiratory system, Respiratory system

Citation

Collections

Metrikler

Search on Google Scholar


Total Views

1

Total Downloads

0