Sleep Architecture in Patients With Primary Snoring and Obstructive Sleep Apnea

Introduction: This study aimed to investigate sleep architecture in patients with primary snoring and obstructive sleep apnea. Methods: In this study, we analyzed polysomnographic data of 391 clients who referred to Sleep Disorders Research Center (SDRS). These people were classified into three grou...

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Main Authors: Kaveh Shahveisi, Amir Jalali, Mohammad Raman Moloudi, Shahla Moradi, Azad Maroufi, Habibolah Khazaie
Format: Article
Language:English
Published: Iran University of Medical Sciences 2018-03-01
Series:Basic and Clinical Neuroscience
Subjects:
Online Access:http://bcn.iums.ac.ir/browse.php?a_code=A-10-1061-1&slc_lang=en&sid=1
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author Kaveh Shahveisi
Amir Jalali
Mohammad Raman Moloudi
Shahla Moradi
Azad Maroufi
Habibolah Khazaie
author_facet Kaveh Shahveisi
Amir Jalali
Mohammad Raman Moloudi
Shahla Moradi
Azad Maroufi
Habibolah Khazaie
author_sort Kaveh Shahveisi
collection DOAJ
description Introduction: This study aimed to investigate sleep architecture in patients with primary snoring and obstructive sleep apnea. Methods: In this study, we analyzed polysomnographic data of 391 clients who referred to Sleep Disorders Research Center (SDRS). These people were classified into three groups based on their Apnea-Hypopnea Index (AHI) and snoring; control, Primary Snoring (PS), and Obstructive Sleep Apnea (OSA) group. Sleep architecture variables were then assessed in all groups. Results: The results of this study indicated a decrease in deep sleep or Slow Waves Sleep (SWS) and increase in light sleep or stage 1 of non-REM sleep (N1) in OSA patients compared with the control and PS groups. After controlling the effects of confounding factors, i.e. age and Body Mass Index (BMI) (which was performed through multiple regression analysis) significant differences were observed among the three groups with regard to N1. However, with regard to SWS, after controlling confounding variables (age and BMI), no significant difference was found among the groups. Conclusion: The results indicated that OSA, regardless of age and BMI, may increase light (N1) sleep possibly via a decline in blood oxygen saturation (SpO2). Such increase in N1 may be responsible for brain arousal. In addition, by controlling confounding factors (age and BMI), OSA did not affect SWS in OSA patients. However, further research is necessary to determine sleep architecture in more detail in the patients with OSA.
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spelling doaj.art-d972a1db50cc4067bde489c4930811a42024-03-02T19:07:05ZengIran University of Medical SciencesBasic and Clinical Neuroscience2008-126X2228-74422018-03-0192147156Sleep Architecture in Patients With Primary Snoring and Obstructive Sleep ApneaKaveh Shahveisi0Amir Jalali1Mohammad Raman Moloudi2Shahla Moradi3Azad Maroufi4Habibolah Khazaie5 Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran. Department of Psychiatric Nursing, Faculty of Nursing & Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran. Neurosciences Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran. Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran. Neurosciences Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran. Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran. Introduction: This study aimed to investigate sleep architecture in patients with primary snoring and obstructive sleep apnea. Methods: In this study, we analyzed polysomnographic data of 391 clients who referred to Sleep Disorders Research Center (SDRS). These people were classified into three groups based on their Apnea-Hypopnea Index (AHI) and snoring; control, Primary Snoring (PS), and Obstructive Sleep Apnea (OSA) group. Sleep architecture variables were then assessed in all groups. Results: The results of this study indicated a decrease in deep sleep or Slow Waves Sleep (SWS) and increase in light sleep or stage 1 of non-REM sleep (N1) in OSA patients compared with the control and PS groups. After controlling the effects of confounding factors, i.e. age and Body Mass Index (BMI) (which was performed through multiple regression analysis) significant differences were observed among the three groups with regard to N1. However, with regard to SWS, after controlling confounding variables (age and BMI), no significant difference was found among the groups. Conclusion: The results indicated that OSA, regardless of age and BMI, may increase light (N1) sleep possibly via a decline in blood oxygen saturation (SpO2). Such increase in N1 may be responsible for brain arousal. In addition, by controlling confounding factors (age and BMI), OSA did not affect SWS in OSA patients. However, further research is necessary to determine sleep architecture in more detail in the patients with OSA.http://bcn.iums.ac.ir/browse.php?a_code=A-10-1061-1&slc_lang=en&sid=1Obstructive sleep apnea Primary snoring Sleep architecture Polysomnography
spellingShingle Kaveh Shahveisi
Amir Jalali
Mohammad Raman Moloudi
Shahla Moradi
Azad Maroufi
Habibolah Khazaie
Sleep Architecture in Patients With Primary Snoring and Obstructive Sleep Apnea
Basic and Clinical Neuroscience
Obstructive sleep apnea
Primary snoring
Sleep architecture
Polysomnography
title Sleep Architecture in Patients With Primary Snoring and Obstructive Sleep Apnea
title_full Sleep Architecture in Patients With Primary Snoring and Obstructive Sleep Apnea
title_fullStr Sleep Architecture in Patients With Primary Snoring and Obstructive Sleep Apnea
title_full_unstemmed Sleep Architecture in Patients With Primary Snoring and Obstructive Sleep Apnea
title_short Sleep Architecture in Patients With Primary Snoring and Obstructive Sleep Apnea
title_sort sleep architecture in patients with primary snoring and obstructive sleep apnea
topic Obstructive sleep apnea
Primary snoring
Sleep architecture
Polysomnography
url http://bcn.iums.ac.ir/browse.php?a_code=A-10-1061-1&slc_lang=en&sid=1
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