Relationship between self-reported sleep duration during week-/work-days and metabolic syndrome from NHANES 2013 to 2016
Purpose This research aimed at determining the relationship between self-reported sleep duration during week-/work-days and metabolic syndrome (MetS) from NHANES 2013 to 2016. Methods This study analyzed data from 11,181 people aged 16 or older who took part in the NHANES (National Health and Nutrit...
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| Veröffentlicht in: | Sleep & breathing 2022-12, Vol.26 (4), p.1593-1601 |
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| creator | Feng, Xiaojie Wu, Wentao Zhao, Fanfan Li, Xiang Han, Didi Li, Chengzhuo Xu, Fengshuo Lyu, Jun |
| description | Purpose
This research aimed at determining the relationship between self-reported sleep duration during week-/work-days and metabolic syndrome (MetS) from NHANES 2013 to 2016.
Methods
This study analyzed data from 11,181 people aged 16 or older who took part in the NHANES (National Health and Nutrition Examination Surveys) from 2013 to 2016. A standard questionnaire was used to define self-reported sleep duration, and MetS was defined on the basis of the NCEP (National Cholesterol Education Program)/ATP III revised diagnostic criteria. Logistic regression and restricted cubic splines (RCS) models were used to assess the relationship between self-reported sleep duration and MetS.
Results
The overall prevalence of MetS in the study cohort was 26.1%, with 24.8% for males and 27.3% for females. After adjusting for potential confounding factors, MetS was significantly associated with self-reported short sleep duration (odds ratio = 1.16, 95% confidence interval = 1.03–1.31,
P
= 0.013) but not with long sleep duration (
P
= 0.117). RCS regression revealed that self-reported sleep duration was nonlinearly related to MetS (
P
for nonlinearity = 0.0026). The risk of MetS decreased with increased sleep duration for durations of less than 7 h/day, while there was no association for longer sleep durations.
Conclusion
These results suggest that self-reported short sleep duration is a risk factor for MetS, while long sleep duration is not. |
| doi_str_mv | 10.1007/s11325-021-02522-w |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2597817786</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2736073256</sourcerecordid><originalsourceid>FETCH-LOGICAL-c233t-49693be33735c8e1883f9eafb7ba8ee5255a4da082ff9cd4c970a51b9f8819b73</originalsourceid><addsrcrecordid>eNp9kU1LAzEQhhdRsFb_gKeAFy-x-Wia5FhKtUKp4Mc5ZHcnuu12syZb1v57d1tB8OBhZt7D8w7DvElyTckdJUSOIqWcCUwY7UowhtuTZEB7QSXRpwdNsBaUnScXMa4JoWOl6SD5eobSNoWv4kdRoxSaFqBCEUqHA9Q-NJCjWALUKN-FA9iLonpHHbjBo9aHDc7tPiJb5WgLjU19WWQo7qs8-C0g13W0WkxX8xfECOWo8f2cXCZnzpYRrn7mMHm7n7_OFnj59PA4my5xxjhv8FhPNE-Bc8lFpoAqxZ0G61KZWgUgmBB2nFuimHM6y8eZlsQKmmqnFNWp5MPk9ri3Dv5zB7Ex2yJmUJa2Ar-LhgktFZVSTTr05g-69rtQddcZJvmEyO7FPcWOVBZ8jAGcqUOxtWFvKDF9GOYYhunCMIcwTNuZ-NEU6_55EH5X_-P6BiGpjIo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2736073256</pqid></control><display><type>article</type><title>Relationship between self-reported sleep duration during week-/work-days and metabolic syndrome from NHANES 2013 to 2016</title><source>SpringerLink Journals - AutoHoldings</source><creator>Feng, Xiaojie ; Wu, Wentao ; Zhao, Fanfan ; Li, Xiang ; Han, Didi ; Li, Chengzhuo ; Xu, Fengshuo ; Lyu, Jun</creator><creatorcontrib>Feng, Xiaojie ; Wu, Wentao ; Zhao, Fanfan ; Li, Xiang ; Han, Didi ; Li, Chengzhuo ; Xu, Fengshuo ; Lyu, Jun</creatorcontrib><description>Purpose
This research aimed at determining the relationship between self-reported sleep duration during week-/work-days and metabolic syndrome (MetS) from NHANES 2013 to 2016.
Methods
This study analyzed data from 11,181 people aged 16 or older who took part in the NHANES (National Health and Nutrition Examination Surveys) from 2013 to 2016. A standard questionnaire was used to define self-reported sleep duration, and MetS was defined on the basis of the NCEP (National Cholesterol Education Program)/ATP III revised diagnostic criteria. Logistic regression and restricted cubic splines (RCS) models were used to assess the relationship between self-reported sleep duration and MetS.
Results
The overall prevalence of MetS in the study cohort was 26.1%, with 24.8% for males and 27.3% for females. After adjusting for potential confounding factors, MetS was significantly associated with self-reported short sleep duration (odds ratio = 1.16, 95% confidence interval = 1.03–1.31,
P
= 0.013) but not with long sleep duration (
P
= 0.117). RCS regression revealed that self-reported sleep duration was nonlinearly related to MetS (
P
for nonlinearity = 0.0026). The risk of MetS decreased with increased sleep duration for durations of less than 7 h/day, while there was no association for longer sleep durations.
Conclusion
These results suggest that self-reported short sleep duration is a risk factor for MetS, while long sleep duration is not.</description><identifier>ISSN: 1520-9512</identifier><identifier>EISSN: 1522-1709</identifier><identifier>DOI: 10.1007/s11325-021-02522-w</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Cholesterol ; Dentistry ; Internal Medicine ; Medicine ; Medicine & Public Health ; Metabolic syndrome ; Neurology ; Nonlinear systems ; Otorhinolaryngology ; Pediatrics ; Pneumology/Respiratory System ; Regression analysis ; Risk factors ; Self report ; Sleep ; Sleep Breathing Physiology and Disorders • Original Article</subject><ispartof>Sleep & breathing, 2022-12, Vol.26 (4), p.1593-1601</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c233t-49693be33735c8e1883f9eafb7ba8ee5255a4da082ff9cd4c970a51b9f8819b73</cites><orcidid>0000-0002-2237-8771</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11325-021-02522-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11325-021-02522-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Feng, Xiaojie</creatorcontrib><creatorcontrib>Wu, Wentao</creatorcontrib><creatorcontrib>Zhao, Fanfan</creatorcontrib><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Han, Didi</creatorcontrib><creatorcontrib>Li, Chengzhuo</creatorcontrib><creatorcontrib>Xu, Fengshuo</creatorcontrib><creatorcontrib>Lyu, Jun</creatorcontrib><title>Relationship between self-reported sleep duration during week-/work-days and metabolic syndrome from NHANES 2013 to 2016</title><title>Sleep & breathing</title><addtitle>Sleep Breath</addtitle><description>Purpose
This research aimed at determining the relationship between self-reported sleep duration during week-/work-days and metabolic syndrome (MetS) from NHANES 2013 to 2016.
Methods
This study analyzed data from 11,181 people aged 16 or older who took part in the NHANES (National Health and Nutrition Examination Surveys) from 2013 to 2016. A standard questionnaire was used to define self-reported sleep duration, and MetS was defined on the basis of the NCEP (National Cholesterol Education Program)/ATP III revised diagnostic criteria. Logistic regression and restricted cubic splines (RCS) models were used to assess the relationship between self-reported sleep duration and MetS.
Results
The overall prevalence of MetS in the study cohort was 26.1%, with 24.8% for males and 27.3% for females. After adjusting for potential confounding factors, MetS was significantly associated with self-reported short sleep duration (odds ratio = 1.16, 95% confidence interval = 1.03–1.31,
P
= 0.013) but not with long sleep duration (
P
= 0.117). RCS regression revealed that self-reported sleep duration was nonlinearly related to MetS (
P
for nonlinearity = 0.0026). The risk of MetS decreased with increased sleep duration for durations of less than 7 h/day, while there was no association for longer sleep durations.
Conclusion
These results suggest that self-reported short sleep duration is a risk factor for MetS, while long sleep duration is not.</description><subject>Cholesterol</subject><subject>Dentistry</subject><subject>Internal Medicine</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic syndrome</subject><subject>Neurology</subject><subject>Nonlinear systems</subject><subject>Otorhinolaryngology</subject><subject>Pediatrics</subject><subject>Pneumology/Respiratory System</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Self report</subject><subject>Sleep</subject><subject>Sleep Breathing Physiology and Disorders • Original Article</subject><issn>1520-9512</issn><issn>1522-1709</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1LAzEQhhdRsFb_gKeAFy-x-Wia5FhKtUKp4Mc5ZHcnuu12syZb1v57d1tB8OBhZt7D8w7DvElyTckdJUSOIqWcCUwY7UowhtuTZEB7QSXRpwdNsBaUnScXMa4JoWOl6SD5eobSNoWv4kdRoxSaFqBCEUqHA9Q-NJCjWALUKN-FA9iLonpHHbjBo9aHDc7tPiJb5WgLjU19WWQo7qs8-C0g13W0WkxX8xfECOWo8f2cXCZnzpYRrn7mMHm7n7_OFnj59PA4my5xxjhv8FhPNE-Bc8lFpoAqxZ0G61KZWgUgmBB2nFuimHM6y8eZlsQKmmqnFNWp5MPk9ri3Dv5zB7Ex2yJmUJa2Ar-LhgktFZVSTTr05g-69rtQddcZJvmEyO7FPcWOVBZ8jAGcqUOxtWFvKDF9GOYYhunCMIcwTNuZ-NEU6_55EH5X_-P6BiGpjIo</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Feng, Xiaojie</creator><creator>Wu, Wentao</creator><creator>Zhao, Fanfan</creator><creator>Li, Xiang</creator><creator>Han, Didi</creator><creator>Li, Chengzhuo</creator><creator>Xu, Fengshuo</creator><creator>Lyu, Jun</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7T5</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88J</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2R</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2237-8771</orcidid></search><sort><creationdate>20221201</creationdate><title>Relationship between self-reported sleep duration during week-/work-days and metabolic syndrome from NHANES 2013 to 2016</title><author>Feng, Xiaojie ; Wu, Wentao ; Zhao, Fanfan ; Li, Xiang ; Han, Didi ; Li, Chengzhuo ; Xu, Fengshuo ; Lyu, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c233t-49693be33735c8e1883f9eafb7ba8ee5255a4da082ff9cd4c970a51b9f8819b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Cholesterol</topic><topic>Dentistry</topic><topic>Internal Medicine</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic syndrome</topic><topic>Neurology</topic><topic>Nonlinear systems</topic><topic>Otorhinolaryngology</topic><topic>Pediatrics</topic><topic>Pneumology/Respiratory System</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Self report</topic><topic>Sleep</topic><topic>Sleep Breathing Physiology and Disorders • Original Article</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Feng, Xiaojie</creatorcontrib><creatorcontrib>Wu, Wentao</creatorcontrib><creatorcontrib>Zhao, Fanfan</creatorcontrib><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Han, Didi</creatorcontrib><creatorcontrib>Li, Chengzhuo</creatorcontrib><creatorcontrib>Xu, Fengshuo</creatorcontrib><creatorcontrib>Lyu, Jun</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Social Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Sleep & breathing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Feng, Xiaojie</au><au>Wu, Wentao</au><au>Zhao, Fanfan</au><au>Li, Xiang</au><au>Han, Didi</au><au>Li, Chengzhuo</au><au>Xu, Fengshuo</au><au>Lyu, Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between self-reported sleep duration during week-/work-days and metabolic syndrome from NHANES 2013 to 2016</atitle><jtitle>Sleep & breathing</jtitle><stitle>Sleep Breath</stitle><date>2022-12-01</date><risdate>2022</risdate><volume>26</volume><issue>4</issue><spage>1593</spage><epage>1601</epage><pages>1593-1601</pages><issn>1520-9512</issn><eissn>1522-1709</eissn><abstract>Purpose
This research aimed at determining the relationship between self-reported sleep duration during week-/work-days and metabolic syndrome (MetS) from NHANES 2013 to 2016.
Methods
This study analyzed data from 11,181 people aged 16 or older who took part in the NHANES (National Health and Nutrition Examination Surveys) from 2013 to 2016. A standard questionnaire was used to define self-reported sleep duration, and MetS was defined on the basis of the NCEP (National Cholesterol Education Program)/ATP III revised diagnostic criteria. Logistic regression and restricted cubic splines (RCS) models were used to assess the relationship between self-reported sleep duration and MetS.
Results
The overall prevalence of MetS in the study cohort was 26.1%, with 24.8% for males and 27.3% for females. After adjusting for potential confounding factors, MetS was significantly associated with self-reported short sleep duration (odds ratio = 1.16, 95% confidence interval = 1.03–1.31,
P
= 0.013) but not with long sleep duration (
P
= 0.117). RCS regression revealed that self-reported sleep duration was nonlinearly related to MetS (
P
for nonlinearity = 0.0026). The risk of MetS decreased with increased sleep duration for durations of less than 7 h/day, while there was no association for longer sleep durations.
Conclusion
These results suggest that self-reported short sleep duration is a risk factor for MetS, while long sleep duration is not.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s11325-021-02522-w</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-2237-8771</orcidid></addata></record> |
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| ispartof | Sleep & breathing, 2022-12, Vol.26 (4), p.1593-1601 |
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| language | eng |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Cholesterol Dentistry Internal Medicine Medicine Medicine & Public Health Metabolic syndrome Neurology Nonlinear systems Otorhinolaryngology Pediatrics Pneumology/Respiratory System Regression analysis Risk factors Self report Sleep Sleep Breathing Physiology and Disorders • Original Article |
| title | Relationship between self-reported sleep duration during week-/work-days and metabolic syndrome from NHANES 2013 to 2016 |
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