Obstructive Sleep Apnea in a Clinical Population: Prevalence, Predictive Factors, and Clinical Characteristics of Patients Referred to a Sleep Center in Mongolia
Obstructive sleep apnea (OSA) disrupts sleep. This study examined factors related to OSA severity. A cross-sectional, prospective, hospital-based study was conducted with 205 patients who underwent polysomnography (PSG). Demographic, anthropometric, clinical, PSG, and sleep quality assessment data w...
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| Veröffentlicht in: | International journal of environmental research and public health 2021-11, Vol.18 (22), p.12032 |
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| creator | Dashzeveg, Shuren Oka, Yasunori Purevtogtokh, Munkhjin Tumurbaatar, Enkhnaran Lkhagvasuren, Battuvshin Luvsannorov, Otgonbayar Boldbaatar, Damdindorj |
| description | Obstructive sleep apnea (OSA) disrupts sleep. This study examined factors related to OSA severity. A cross-sectional, prospective, hospital-based study was conducted with 205 patients who underwent polysomnography (PSG). Demographic, anthropometric, clinical, PSG, and sleep quality assessment data were analyzed. Participants (N = 205) were classified into four groups based on apnea–hypopnea index (AHI); no OSA (AHI < 5/h; N = 14), mild (mOSA, 5 < AHI < 15/h; N = 50), moderate (modOSA, 15 < AHI < 30/h; N = 41), severe (sOSA, 30 < AHI < 60/h; N = 50), and very severe (vsOSA, AHI ≥ 60; N = 50). Men had more severe OSA than women (p < 0.001). Anthropometric characteristics differed with OSA severity (p < 0.001). OSA patients had decreased sleep quality and increased excessive daytime sleepiness (EDS). Body mass index (BMI), neck/waist circumference, and blood pressure (BP) differed between groups (p < 0.001). Patients with vsOSA had the highest Mallampati grades (p < 0.001). Multiple linear regression indicated that OSA severity was related to gender and sleep quality. PSG parameters (oxygen saturation, systolic BP, and arousal/respiratory arousal) were strongly related to OSA severity. In conclusion, about half of study-referred patients had severe/very severe OSA; these groups were predominantly obese men with high BP. OSA severity associated with high BP, BMI, waist circumference, and neck circumference. |
| doi_str_mv | 10.3390/ijerph182212032 |
| format | Article |
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This study examined factors related to OSA severity. A cross-sectional, prospective, hospital-based study was conducted with 205 patients who underwent polysomnography (PSG). Demographic, anthropometric, clinical, PSG, and sleep quality assessment data were analyzed. Participants (N = 205) were classified into four groups based on apnea–hypopnea index (AHI); no OSA (AHI < 5/h; N = 14), mild (mOSA, 5 < AHI < 15/h; N = 50), moderate (modOSA, 15 < AHI < 30/h; N = 41), severe (sOSA, 30 < AHI < 60/h; N = 50), and very severe (vsOSA, AHI ≥ 60; N = 50). Men had more severe OSA than women (p < 0.001). Anthropometric characteristics differed with OSA severity (p < 0.001). OSA patients had decreased sleep quality and increased excessive daytime sleepiness (EDS). Body mass index (BMI), neck/waist circumference, and blood pressure (BP) differed between groups (p < 0.001). Patients with vsOSA had the highest Mallampati grades (p < 0.001). Multiple linear regression indicated that OSA severity was related to gender and sleep quality. PSG parameters (oxygen saturation, systolic BP, and arousal/respiratory arousal) were strongly related to OSA severity. In conclusion, about half of study-referred patients had severe/very severe OSA; these groups were predominantly obese men with high BP. OSA severity associated with high BP, BMI, waist circumference, and neck circumference.]]></description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph182212032</identifier><identifier>PMID: 34831784</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Age ; Anthropometry ; Apnea ; Arousal ; Blood pressure ; Body mass ; Body mass index ; Body measurements ; Body size ; Cardiovascular disease ; Hypertension ; Oxygen content ; Patients ; Quality assessment ; Quality control ; Questionnaires ; Sleep and wakefulness ; Sleep apnea ; Sleep disorders ; Sleepiness ; State employees ; Variables</subject><ispartof>International journal of environmental research and public health, 2021-11, Vol.18 (22), p.12032</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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This study examined factors related to OSA severity. A cross-sectional, prospective, hospital-based study was conducted with 205 patients who underwent polysomnography (PSG). Demographic, anthropometric, clinical, PSG, and sleep quality assessment data were analyzed. Participants (N = 205) were classified into four groups based on apnea–hypopnea index (AHI); no OSA (AHI < 5/h; N = 14), mild (mOSA, 5 < AHI < 15/h; N = 50), moderate (modOSA, 15 < AHI < 30/h; N = 41), severe (sOSA, 30 < AHI < 60/h; N = 50), and very severe (vsOSA, AHI ≥ 60; N = 50). Men had more severe OSA than women (p < 0.001). Anthropometric characteristics differed with OSA severity (p < 0.001). OSA patients had decreased sleep quality and increased excessive daytime sleepiness (EDS). Body mass index (BMI), neck/waist circumference, and blood pressure (BP) differed between groups (p < 0.001). Patients with vsOSA had the highest Mallampati grades (p < 0.001). Multiple linear regression indicated that OSA severity was related to gender and sleep quality. PSG parameters (oxygen saturation, systolic BP, and arousal/respiratory arousal) were strongly related to OSA severity. In conclusion, about half of study-referred patients had severe/very severe OSA; these groups were predominantly obese men with high BP. OSA severity associated with high BP, BMI, waist circumference, and neck circumference.]]></description><subject>Age</subject><subject>Anthropometry</subject><subject>Apnea</subject><subject>Arousal</subject><subject>Blood pressure</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body measurements</subject><subject>Body size</subject><subject>Cardiovascular disease</subject><subject>Hypertension</subject><subject>Oxygen content</subject><subject>Patients</subject><subject>Quality assessment</subject><subject>Quality control</subject><subject>Questionnaires</subject><subject>Sleep and wakefulness</subject><subject>Sleep apnea</subject><subject>Sleep disorders</subject><subject>Sleepiness</subject><subject>State employees</subject><subject>Variables</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkU9vEzEQxVcIREvhzNUSFw4N9b-4Xg5I1YpCpVaNCpxXs95x48ixF9sbiY_DN8VRKig9zUjvN-_NaJrmLaMfhGjpmdtgmtZMc844FfxZc8yUogupKHv-qD9qXuW8oVRoqdqXzZGQWrBzLY-b37dDLmk2xe2QfPOIE7mYAgJxgQDpvAvOgCerOM0eiovhI1kl3IHHYPB034_uMHwJpsSUTwmE8d9gt4ZUBUwuF2cyiZasqg-GkskdWkzVgJRYsw7hXVUw7dNvYriP3sHr5oUFn_HNQz1pflx-_t59XVzffrnqLq4XRrS6LAa6tHpkApQ2ljGqkaNorWWtaIW1o12aYTCS8VGqQbXjwDkY1BwAmQZNxUnz6eA7zcMWR1MXSeD7KbktpF99BNf_rwS37u_jrteKS8lkNXj_YJDizxlz6bcuG_QeAsY591xRSTnTS1XRd0_QTZxTqOftKU71ueTLSp0dKJNizgnt32UY7ffv75-8X_wBFX-l4w</recordid><startdate>20211116</startdate><enddate>20211116</enddate><creator>Dashzeveg, Shuren</creator><creator>Oka, Yasunori</creator><creator>Purevtogtokh, Munkhjin</creator><creator>Tumurbaatar, Enkhnaran</creator><creator>Lkhagvasuren, Battuvshin</creator><creator>Luvsannorov, Otgonbayar</creator><creator>Boldbaatar, Damdindorj</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8944-9685</orcidid><orcidid>https://orcid.org/0000-0001-9873-3920</orcidid></search><sort><creationdate>20211116</creationdate><title>Obstructive Sleep Apnea in a Clinical Population: Prevalence, Predictive Factors, and Clinical Characteristics of Patients Referred to a Sleep Center in Mongolia</title><author>Dashzeveg, Shuren ; 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This study examined factors related to OSA severity. A cross-sectional, prospective, hospital-based study was conducted with 205 patients who underwent polysomnography (PSG). Demographic, anthropometric, clinical, PSG, and sleep quality assessment data were analyzed. Participants (N = 205) were classified into four groups based on apnea–hypopnea index (AHI); no OSA (AHI < 5/h; N = 14), mild (mOSA, 5 < AHI < 15/h; N = 50), moderate (modOSA, 15 < AHI < 30/h; N = 41), severe (sOSA, 30 < AHI < 60/h; N = 50), and very severe (vsOSA, AHI ≥ 60; N = 50). Men had more severe OSA than women (p < 0.001). Anthropometric characteristics differed with OSA severity (p < 0.001). OSA patients had decreased sleep quality and increased excessive daytime sleepiness (EDS). Body mass index (BMI), neck/waist circumference, and blood pressure (BP) differed between groups (p < 0.001). Patients with vsOSA had the highest Mallampati grades (p < 0.001). Multiple linear regression indicated that OSA severity was related to gender and sleep quality. PSG parameters (oxygen saturation, systolic BP, and arousal/respiratory arousal) were strongly related to OSA severity. In conclusion, about half of study-referred patients had severe/very severe OSA; these groups were predominantly obese men with high BP. OSA severity associated with high BP, BMI, waist circumference, and neck circumference.]]></abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>34831784</pmid><doi>10.3390/ijerph182212032</doi><orcidid>https://orcid.org/0000-0002-8944-9685</orcidid><orcidid>https://orcid.org/0000-0001-9873-3920</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Age Anthropometry Apnea Arousal Blood pressure Body mass Body mass index Body measurements Body size Cardiovascular disease Hypertension Oxygen content Patients Quality assessment Quality control Questionnaires Sleep and wakefulness Sleep apnea Sleep disorders Sleepiness State employees Variables |
| title | Obstructive Sleep Apnea in a Clinical Population: Prevalence, Predictive Factors, and Clinical Characteristics of Patients Referred to a Sleep Center in Mongolia |
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