Sleep duration and mortality, influence of age, retirement, and occupational group
Summary Previous work has shown that both long and short sleep duration is associated with increased mortality, with lowest risk around 7 hr. This has had widespread impact on views on the optimal sleep duration. However, age, being employed/retired, and blue‐/white‐collar status, may influence the...
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Veröffentlicht in: | Journal of sleep research 2022-06, Vol.31 (3), p.e13512-n/a |
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creator | Åkerstedt, Torbjörn Trolle‐Lagerros, Ylva Widman, Linnea Ye, Weimin Adami, Hans‐Olov Bellocco, Rino |
description | Summary
Previous work has shown that both long and short sleep duration is associated with increased mortality, with lowest risk around 7 hr. This has had widespread impact on views on the optimal sleep duration. However, age, being employed/retired, and blue‐/white‐collar status, may influence the time available for sleep and thus, confound the association. We investigated the role of these factors on the association between sleep duration and mortality. We used employed and retired participants (N = 25,430) from the Swedish National March Cohort and Cox proportional hazards regression to model the shape of the association. We found a significant U‐shaped association in a multivariable model with a hazard ratio (HR) of 1.24 (95% confidence interval [CI] 1.10, 1.39) for 60.3 years at baseline. The shape of the association did not differ between blue‐/white‐collar workers, nor between employed and retired groups. We conclude that the U‐shaped association between sleep duration and mortality is present only in older individuals. |
doi_str_mv | 10.1111/jsr.13512 |
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Previous work has shown that both long and short sleep duration is associated with increased mortality, with lowest risk around 7 hr. This has had widespread impact on views on the optimal sleep duration. However, age, being employed/retired, and blue‐/white‐collar status, may influence the time available for sleep and thus, confound the association. We investigated the role of these factors on the association between sleep duration and mortality. We used employed and retired participants (N = 25,430) from the Swedish National March Cohort and Cox proportional hazards regression to model the shape of the association. We found a significant U‐shaped association in a multivariable model with a hazard ratio (HR) of 1.24 (95% confidence interval [CI] 1.10, 1.39) for <5‐hr sleep duration, and a HR of 1.30 (95% CI 1.12, 1.51) for ≥9‐hr sleep duration, with the lowest HR for 7 hr, but with a span of low HRs from 5 to 8 hr. Unadjusted values showed a pronounced U‐shape. Adjusting for age accounted for most of the attenuation in the multivariable model. Stratification into five age groups showed a significant U‐shape only in those aged >60.3 years at baseline. The shape of the association did not differ between blue‐/white‐collar workers, nor between employed and retired groups. We conclude that the U‐shaped association between sleep duration and mortality is present only in older individuals.</description><identifier>ISSN: 0962-1105</identifier><identifier>ISSN: 1365-2869</identifier><identifier>EISSN: 1365-2869</identifier><identifier>DOI: 10.1111/jsr.13512</identifier><identifier>PMID: 34741361</identifier><language>eng</language><publisher>England</publisher><subject>Aged ; blue-collar ; cause of death registry ; cohort ; Cohort Studies ; Humans ; Mortality ; Proportional Hazards Models ; prospective ; Retirement ; Risk Factors ; Sleep ; Sleep Wake Disorders ; white-collar</subject><ispartof>Journal of sleep research, 2022-06, Vol.31 (3), p.e13512-n/a</ispartof><rights>2021 The Authors. published by John Wiley & Sons Ltd on behalf of European Sleep Research Society</rights><rights>2021 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5012-d4062328388691a30282475896138876378e04218a478504937136da2832ef4f3</citedby><cites>FETCH-LOGICAL-c5012-d4062328388691a30282475896138876378e04218a478504937136da2832ef4f3</cites><orcidid>0000-0001-8049-8504</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjsr.13512$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjsr.13512$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,550,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34741361$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-200110$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:148044197$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Åkerstedt, Torbjörn</creatorcontrib><creatorcontrib>Trolle‐Lagerros, Ylva</creatorcontrib><creatorcontrib>Widman, Linnea</creatorcontrib><creatorcontrib>Ye, Weimin</creatorcontrib><creatorcontrib>Adami, Hans‐Olov</creatorcontrib><creatorcontrib>Bellocco, Rino</creatorcontrib><title>Sleep duration and mortality, influence of age, retirement, and occupational group</title><title>Journal of sleep research</title><addtitle>J Sleep Res</addtitle><description>Summary
Previous work has shown that both long and short sleep duration is associated with increased mortality, with lowest risk around 7 hr. This has had widespread impact on views on the optimal sleep duration. However, age, being employed/retired, and blue‐/white‐collar status, may influence the time available for sleep and thus, confound the association. We investigated the role of these factors on the association between sleep duration and mortality. We used employed and retired participants (N = 25,430) from the Swedish National March Cohort and Cox proportional hazards regression to model the shape of the association. We found a significant U‐shaped association in a multivariable model with a hazard ratio (HR) of 1.24 (95% confidence interval [CI] 1.10, 1.39) for <5‐hr sleep duration, and a HR of 1.30 (95% CI 1.12, 1.51) for ≥9‐hr sleep duration, with the lowest HR for 7 hr, but with a span of low HRs from 5 to 8 hr. Unadjusted values showed a pronounced U‐shape. Adjusting for age accounted for most of the attenuation in the multivariable model. Stratification into five age groups showed a significant U‐shape only in those aged >60.3 years at baseline. The shape of the association did not differ between blue‐/white‐collar workers, nor between employed and retired groups. We conclude that the U‐shaped association between sleep duration and mortality is present only in older individuals.</description><subject>Aged</subject><subject>blue-collar</subject><subject>cause of death registry</subject><subject>cohort</subject><subject>Cohort Studies</subject><subject>Humans</subject><subject>Mortality</subject><subject>Proportional Hazards Models</subject><subject>prospective</subject><subject>Retirement</subject><subject>Risk Factors</subject><subject>Sleep</subject><subject>Sleep Wake Disorders</subject><subject>white-collar</subject><issn>0962-1105</issn><issn>1365-2869</issn><issn>1365-2869</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNp1kF1LwzAUhoMobk4v_AOSW6Hd8tmml2N-MxA29TbENh2ZXVOSlrF_b1zn7pabEw7P-3J4ALjFaIzDm6y9G2PKMTkDQ0wTHhORZOdgiLKExBgjPgBX3q8Rwimn2SUYUJayAOIhWCwrrRtYdE61xtZQ1QXcWNeqyrS7CJq6rDpd5xraEqqVjqDTrXF6o-s22sM2z7tmn1UVXDnbNdfgolSV1zeHOQKfT48fs5d4_v78OpvO45wjTOKCoYRQIqgIx2JFERGEpVxkCQ6rNKGp0IgRLBRLBUcso2k4uVAhQXTJSjoCcd_rt7rpvmXjzEa5nbTKyMPqJ_y0ZDwVWAQ-Osk_mK-ptG4lfSdJ8IRRwO97PHfWe6fLYwAj-addBu1yrz2wdz0beje6OJL_ngMw6YGtqfTudJN8Wy76yl_7s4pe</recordid><startdate>202206</startdate><enddate>202206</enddate><creator>Åkerstedt, Torbjörn</creator><creator>Trolle‐Lagerros, Ylva</creator><creator>Widman, Linnea</creator><creator>Ye, Weimin</creator><creator>Adami, Hans‐Olov</creator><creator>Bellocco, Rino</creator><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABAVF</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>DG7</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0001-8049-8504</orcidid></search><sort><creationdate>202206</creationdate><title>Sleep duration and mortality, influence of age, retirement, and occupational group</title><author>Åkerstedt, Torbjörn ; Trolle‐Lagerros, Ylva ; Widman, Linnea ; Ye, Weimin ; Adami, Hans‐Olov ; Bellocco, Rino</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5012-d4062328388691a30282475896138876378e04218a478504937136da2832ef4f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aged</topic><topic>blue-collar</topic><topic>cause of death registry</topic><topic>cohort</topic><topic>Cohort Studies</topic><topic>Humans</topic><topic>Mortality</topic><topic>Proportional Hazards Models</topic><topic>prospective</topic><topic>Retirement</topic><topic>Risk Factors</topic><topic>Sleep</topic><topic>Sleep Wake Disorders</topic><topic>white-collar</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Åkerstedt, Torbjörn</creatorcontrib><creatorcontrib>Trolle‐Lagerros, Ylva</creatorcontrib><creatorcontrib>Widman, Linnea</creatorcontrib><creatorcontrib>Ye, Weimin</creatorcontrib><creatorcontrib>Adami, Hans‐Olov</creatorcontrib><creatorcontrib>Bellocco, Rino</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>SWEPUB Stockholms universitet full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Stockholms universitet</collection><collection>SwePub Articles full text</collection><jtitle>Journal of sleep research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Åkerstedt, Torbjörn</au><au>Trolle‐Lagerros, Ylva</au><au>Widman, Linnea</au><au>Ye, Weimin</au><au>Adami, Hans‐Olov</au><au>Bellocco, Rino</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sleep duration and mortality, influence of age, retirement, and occupational group</atitle><jtitle>Journal of sleep research</jtitle><addtitle>J Sleep Res</addtitle><date>2022-06</date><risdate>2022</risdate><volume>31</volume><issue>3</issue><spage>e13512</spage><epage>n/a</epage><pages>e13512-n/a</pages><issn>0962-1105</issn><issn>1365-2869</issn><eissn>1365-2869</eissn><abstract>Summary
Previous work has shown that both long and short sleep duration is associated with increased mortality, with lowest risk around 7 hr. This has had widespread impact on views on the optimal sleep duration. However, age, being employed/retired, and blue‐/white‐collar status, may influence the time available for sleep and thus, confound the association. We investigated the role of these factors on the association between sleep duration and mortality. We used employed and retired participants (N = 25,430) from the Swedish National March Cohort and Cox proportional hazards regression to model the shape of the association. We found a significant U‐shaped association in a multivariable model with a hazard ratio (HR) of 1.24 (95% confidence interval [CI] 1.10, 1.39) for <5‐hr sleep duration, and a HR of 1.30 (95% CI 1.12, 1.51) for ≥9‐hr sleep duration, with the lowest HR for 7 hr, but with a span of low HRs from 5 to 8 hr. Unadjusted values showed a pronounced U‐shape. Adjusting for age accounted for most of the attenuation in the multivariable model. Stratification into five age groups showed a significant U‐shape only in those aged >60.3 years at baseline. The shape of the association did not differ between blue‐/white‐collar workers, nor between employed and retired groups. We conclude that the U‐shaped association between sleep duration and mortality is present only in older individuals.</abstract><cop>England</cop><pmid>34741361</pmid><doi>10.1111/jsr.13512</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-8049-8504</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged blue-collar cause of death registry cohort Cohort Studies Humans Mortality Proportional Hazards Models prospective Retirement Risk Factors Sleep Sleep Wake Disorders white-collar |
title | Sleep duration and mortality, influence of age, retirement, and occupational group |
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