The Predictors of Obstructive Sleep Apnea at A High Altitude: Results of a Population-based Study in the Western region of Saudi Arabia | ||||
The Egyptian Journal of Hospital Medicine | ||||
Article 15, Volume 73, Issue 1, October 2018, Page 5818-5827 PDF (539.21 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/ejhm.2018.12045 | ||||
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Authors | ||||
Fahad Rajallah Alharthi1; Ibrahim Masoodi 1; Naif Alomairi1; Abdullah Hassan Almuntashiri1; Abdulaziz Alfaifi2 | ||||
1Dept of Internal Medicine College of Medicine, Taif University | ||||
2Dept of Internal Medicine King Abdul Aziz Specialist hospital, Taif ,KSA | ||||
Abstract | ||||
Background: The sleep disturbances are common at high altitudes. This study aimed to determine the prevalence and predictors of obstructive sleep apnea at high altitudes. Methods: This cross-sectional observational study was conducted from March 2018 to June 2018 to assess the predictors of obstructive sleep apnea based on Berlin, Stop-Bang and Epworth sleepiness scale questionnaire from adult population of Taif City at an altitude of 1879 m from sea level in Saudi Arabia. Results: Of 1002 participants, the majority (614 participants, 61.3%) was males and the mean± SD age of participants was 30.6± 10.3 years (Range 11 - 67 years). In this study 24.9% participants were found to be at a high risk of having sleep apnea. Male gender, older age and smoking were found to be significantly associated with higher risk of sleep apnea according to Berlin, Stop-Bang and Epworth sleepiness scale questionnaire. Diseases found to be associated with a high risk of developing sleep apnea included hypertension (p<0.001), hyperlipidemia (p<0.001), diabetes (p<0.001), psychological disorders (p<0.001) and asthma (p<0.001) .On the other hand, cardiac disorders were found to have an insignificant effect on sleep apnea (p=0.076) in this study. Almost one-third of the participants (34.9%; 95% CI= 32.0% to 37.9%) were found to have an abnormal level of daytime sleepiness according to Epworth Sleepiness Scale (ESS). These results were comparable to the previous studies at low altitude. Conclusions: Our study demonstrated that the predictors of OSA at high altitudes are comparable to those at low altitudes. | ||||
Keywords | ||||
Daytime sleepiness; Obstructive sleep apnea; prevalence; diabetes; Hypertension; Asthma | ||||
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