Associations between actigraphy-measured sleep duration, continuity, and timing with mortality in the UK Biobank
Abstract Study Objectives To examine the associations between sleep duration, continuity, timing, and mortality using actigraphy among adults. Methods Data were from a cohort of 88 282 adults (40–69 years) in UK Biobank that wore a wrist-worn triaxial accelerometer for 7 days. Actigraphy data were p...
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| Veröffentlicht in: | Sleep (New York, N.Y.) N.Y.), 2024-03, Vol.47 (3), p.1 |
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| creator | Saint-Maurice, Pedro F Freeman, Joshua R Russ, Daniel Almeida, Jonas S Shams-White, Marissa M Patel, Shreya Wolff-Hughes, Dana L Watts, Eleanor L Loftfield, Erikka Hong, Hyokyoung G Moore, Steven C Matthews, Charles E |
| description | Abstract
Study Objectives
To examine the associations between sleep duration, continuity, timing, and mortality using actigraphy among adults.
Methods
Data were from a cohort of 88 282 adults (40–69 years) in UK Biobank that wore a wrist-worn triaxial accelerometer for 7 days. Actigraphy data were processed to generate estimates of sleep duration and other sleep characteristics including wake after sleep onset (WASO), number of 5-minute awakenings, and midpoint for sleep onset/wake-up and the least active 5 hours (L5). Data were linked to mortality outcomes with follow-up to October 31, 2021. We implemented Cox models (hazard ratio, confidence intervals [HR, 95% CI]) to quantify sleep associations with mortality. Models were adjusted for demographics, lifestyle factors, and medical conditions.
Results
Over an average of 6.8 years 2973 deaths occurred (1700 cancer, 586 CVD deaths). Overall sleep duration was significantly associated with risk for all-cause (p |
| doi_str_mv | 10.1093/sleep/zsad312 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10925955</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A787679585</galeid><oup_id>10.1093/sleep/zsad312</oup_id><sourcerecordid>A787679585</sourcerecordid><originalsourceid>FETCH-LOGICAL-c516t-85c2e5f51c3342a3818c35d711027f100c18a4051d034909e87dd8874d6158723</originalsourceid><addsrcrecordid>eNqFks9vFCEUx4nR2LV69GpIvHjotDAMM3Aya-Ov2MSLPRMW3uxSZ2AEps3618tu19YaE8OBwPu878v3vYfQS0pOKZHsLA0A09nPpC2j9SO0oJyTSpbQY7QgtKWVoIQfoWcpXZHybiR7io6YIG3bSrZA0zKlYJzOLviEV5BvADzWJrt11NNmW42g0xzB4n0hbOe4Z0-wCT47P7u8PcHaW5zd6Pwa37i8wWOIWQ8lhJ3HeQP48gt-58JK--_P0ZNeDwleHO5jdPnh_bfzT9XF14-fz5cXleG0zZXgpgbec2oYa2rNBBWGcdtRSuqup4QYKnRDOLWENZJIEJ21QnSNbSkXXc2O0dtb3WlejWAN-Bz1oKboRh23KminHka826h1uFaldTWXnBeFNweFGH7MkLIaXTIwDNpDmJOqJallw9o9-vov9CrM0Rd_qkxFENoVA_fUWg-gnO9DKWx2omrZia7tJBc7rdN_UOVYGF1pOvSu_D9IqG4TTAwpRejvTFKyc8PUfnTqsCOFf_VnZ-7o30txbzzM03-0fgFPOcaz</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3128017381</pqid></control><display><type>article</type><title>Associations between actigraphy-measured sleep duration, continuity, and timing with mortality in the UK Biobank</title><source>Oxford University Press Journals</source><source>MEDLINE</source><source>Free E-Journal (出版社公開部分のみ）</source><source>Alma/SFX Local Collection</source><creator>Saint-Maurice, Pedro F ; Freeman, Joshua R ; Russ, Daniel ; Almeida, Jonas S ; Shams-White, Marissa M ; Patel, Shreya ; Wolff-Hughes, Dana L ; Watts, Eleanor L ; Loftfield, Erikka ; Hong, Hyokyoung G ; Moore, Steven C ; Matthews, Charles E</creator><creatorcontrib>Saint-Maurice, Pedro F ; Freeman, Joshua R ; Russ, Daniel ; Almeida, Jonas S ; Shams-White, Marissa M ; Patel, Shreya ; Wolff-Hughes, Dana L ; Watts, Eleanor L ; Loftfield, Erikka ; Hong, Hyokyoung G ; Moore, Steven C ; Matthews, Charles E</creatorcontrib><description>Abstract
Study Objectives
To examine the associations between sleep duration, continuity, timing, and mortality using actigraphy among adults.
Methods
Data were from a cohort of 88 282 adults (40–69 years) in UK Biobank that wore a wrist-worn triaxial accelerometer for 7 days. Actigraphy data were processed to generate estimates of sleep duration and other sleep characteristics including wake after sleep onset (WASO), number of 5-minute awakenings, and midpoint for sleep onset/wake-up and the least active 5 hours (L5). Data were linked to mortality outcomes with follow-up to October 31, 2021. We implemented Cox models (hazard ratio, confidence intervals [HR, 95% CI]) to quantify sleep associations with mortality. Models were adjusted for demographics, lifestyle factors, and medical conditions.
Results
Over an average of 6.8 years 2973 deaths occurred (1700 cancer, 586 CVD deaths). Overall sleep duration was significantly associated with risk for all-cause (p < 0.01), cancer (p < 0.01), and CVD (p = 0.03) mortality. For example, when compared to sleep durations of 7.0 hrs/d, durations of 5 hrs/d were associated with a 29% higher risk for all-cause mortality (HR: 1.29 [1.09, 1.52]). WASO and number of awakenings were not associated with mortality. Individuals with L5 early or late midpoints (<2:30 or ≥ 3:30) had a ~20% higher risk for all-cause mortality, compared to those with intermediate L5 midpoints (3:00–3:29; p ≤ 0.01; e.g. HR ≥ 3:30: 1.19 [1.07, 1.32]).
Conclusions
Shorter sleep duration and both early and late sleep timing were associated with a higher mortality risk. These findings reinforce the importance of public health efforts to promote healthy sleep patterns in adults.
Graphical Abstract
Graphical Abstract</description><identifier>ISSN: 0161-8105</identifier><identifier>ISSN: 1550-9109</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/zsad312</identifier><identifier>PMID: 38066693</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Actigraphy ; Adult ; Analysis ; Biobanks ; Biological Specimen Banks ; Cardiovascular Diseases ; Epidemiology ; Health aspects ; Humans ; Mortality ; Neoplasms ; Sleep ; Sleep Duration ; Sleep, Health, and Disease ; UK Biobank ; United Kingdom</subject><ispartof>Sleep (New York, N.Y.), 2024-03, Vol.47 (3), p.1</ispartof><rights>Published by Oxford University Press on behalf of Sleep Research Society (SRS) 2023. 2023</rights><rights>Published by Oxford University Press on behalf of Sleep Research Society (SRS) 2023.</rights><rights>COPYRIGHT 2024 Oxford University Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c516t-85c2e5f51c3342a3818c35d711027f100c18a4051d034909e87dd8874d6158723</citedby><cites>FETCH-LOGICAL-c516t-85c2e5f51c3342a3818c35d711027f100c18a4051d034909e87dd8874d6158723</cites><orcidid>0000-0001-8037-3103 ; 0000-0003-4040-4416 ; 0000-0002-7883-7922 ; 0000-0002-3573-8748 ; 0000-0001-7483-7848 ; 0000-0002-8169-1661</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,1578,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38066693$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Saint-Maurice, Pedro F</creatorcontrib><creatorcontrib>Freeman, Joshua R</creatorcontrib><creatorcontrib>Russ, Daniel</creatorcontrib><creatorcontrib>Almeida, Jonas S</creatorcontrib><creatorcontrib>Shams-White, Marissa M</creatorcontrib><creatorcontrib>Patel, Shreya</creatorcontrib><creatorcontrib>Wolff-Hughes, Dana L</creatorcontrib><creatorcontrib>Watts, Eleanor L</creatorcontrib><creatorcontrib>Loftfield, Erikka</creatorcontrib><creatorcontrib>Hong, Hyokyoung G</creatorcontrib><creatorcontrib>Moore, Steven C</creatorcontrib><creatorcontrib>Matthews, Charles E</creatorcontrib><title>Associations between actigraphy-measured sleep duration, continuity, and timing with mortality in the UK Biobank</title><title>Sleep (New York, N.Y.)</title><addtitle>Sleep</addtitle><description>Abstract
Study Objectives
To examine the associations between sleep duration, continuity, timing, and mortality using actigraphy among adults.
Methods
Data were from a cohort of 88 282 adults (40–69 years) in UK Biobank that wore a wrist-worn triaxial accelerometer for 7 days. Actigraphy data were processed to generate estimates of sleep duration and other sleep characteristics including wake after sleep onset (WASO), number of 5-minute awakenings, and midpoint for sleep onset/wake-up and the least active 5 hours (L5). Data were linked to mortality outcomes with follow-up to October 31, 2021. We implemented Cox models (hazard ratio, confidence intervals [HR, 95% CI]) to quantify sleep associations with mortality. Models were adjusted for demographics, lifestyle factors, and medical conditions.
Results
Over an average of 6.8 years 2973 deaths occurred (1700 cancer, 586 CVD deaths). Overall sleep duration was significantly associated with risk for all-cause (p < 0.01), cancer (p < 0.01), and CVD (p = 0.03) mortality. For example, when compared to sleep durations of 7.0 hrs/d, durations of 5 hrs/d were associated with a 29% higher risk for all-cause mortality (HR: 1.29 [1.09, 1.52]). WASO and number of awakenings were not associated with mortality. Individuals with L5 early or late midpoints (<2:30 or ≥ 3:30) had a ~20% higher risk for all-cause mortality, compared to those with intermediate L5 midpoints (3:00–3:29; p ≤ 0.01; e.g. HR ≥ 3:30: 1.19 [1.07, 1.32]).
Conclusions
Shorter sleep duration and both early and late sleep timing were associated with a higher mortality risk. These findings reinforce the importance of public health efforts to promote healthy sleep patterns in adults.
Graphical Abstract
Graphical Abstract</description><subject>Actigraphy</subject><subject>Adult</subject><subject>Analysis</subject><subject>Biobanks</subject><subject>Biological Specimen Banks</subject><subject>Cardiovascular Diseases</subject><subject>Epidemiology</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Mortality</subject><subject>Neoplasms</subject><subject>Sleep</subject><subject>Sleep Duration</subject><subject>Sleep, Health, and Disease</subject><subject>UK Biobank</subject><subject>United Kingdom</subject><issn>0161-8105</issn><issn>1550-9109</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFks9vFCEUx4nR2LV69GpIvHjotDAMM3Aya-Ov2MSLPRMW3uxSZ2AEps3618tu19YaE8OBwPu878v3vYfQS0pOKZHsLA0A09nPpC2j9SO0oJyTSpbQY7QgtKWVoIQfoWcpXZHybiR7io6YIG3bSrZA0zKlYJzOLviEV5BvADzWJrt11NNmW42g0xzB4n0hbOe4Z0-wCT47P7u8PcHaW5zd6Pwa37i8wWOIWQ8lhJ3HeQP48gt-58JK--_P0ZNeDwleHO5jdPnh_bfzT9XF14-fz5cXleG0zZXgpgbec2oYa2rNBBWGcdtRSuqup4QYKnRDOLWENZJIEJ21QnSNbSkXXc2O0dtb3WlejWAN-Bz1oKboRh23KminHka826h1uFaldTWXnBeFNweFGH7MkLIaXTIwDNpDmJOqJallw9o9-vov9CrM0Rd_qkxFENoVA_fUWg-gnO9DKWx2omrZia7tJBc7rdN_UOVYGF1pOvSu_D9IqG4TTAwpRejvTFKyc8PUfnTqsCOFf_VnZ-7o30txbzzM03-0fgFPOcaz</recordid><startdate>20240311</startdate><enddate>20240311</enddate><creator>Saint-Maurice, Pedro F</creator><creator>Freeman, Joshua R</creator><creator>Russ, Daniel</creator><creator>Almeida, Jonas S</creator><creator>Shams-White, Marissa M</creator><creator>Patel, Shreya</creator><creator>Wolff-Hughes, Dana L</creator><creator>Watts, Eleanor L</creator><creator>Loftfield, Erikka</creator><creator>Hong, Hyokyoung G</creator><creator>Moore, Steven C</creator><creator>Matthews, Charles E</creator><general>Oxford University Press</general><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>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8037-3103</orcidid><orcidid>https://orcid.org/0000-0003-4040-4416</orcidid><orcidid>https://orcid.org/0000-0002-7883-7922</orcidid><orcidid>https://orcid.org/0000-0002-3573-8748</orcidid><orcidid>https://orcid.org/0000-0001-7483-7848</orcidid><orcidid>https://orcid.org/0000-0002-8169-1661</orcidid></search><sort><creationdate>20240311</creationdate><title>Associations between actigraphy-measured sleep duration, continuity, and timing with mortality in the UK Biobank</title><author>Saint-Maurice, Pedro F ; Freeman, Joshua R ; Russ, Daniel ; Almeida, Jonas S ; Shams-White, Marissa M ; Patel, Shreya ; Wolff-Hughes, Dana L ; Watts, Eleanor L ; Loftfield, Erikka ; Hong, Hyokyoung G ; Moore, Steven C ; Matthews, Charles E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c516t-85c2e5f51c3342a3818c35d711027f100c18a4051d034909e87dd8874d6158723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Actigraphy</topic><topic>Adult</topic><topic>Analysis</topic><topic>Biobanks</topic><topic>Biological Specimen Banks</topic><topic>Cardiovascular Diseases</topic><topic>Epidemiology</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Mortality</topic><topic>Neoplasms</topic><topic>Sleep</topic><topic>Sleep Duration</topic><topic>Sleep, Health, and Disease</topic><topic>UK Biobank</topic><topic>United Kingdom</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saint-Maurice, Pedro F</creatorcontrib><creatorcontrib>Freeman, Joshua R</creatorcontrib><creatorcontrib>Russ, Daniel</creatorcontrib><creatorcontrib>Almeida, Jonas S</creatorcontrib><creatorcontrib>Shams-White, Marissa M</creatorcontrib><creatorcontrib>Patel, Shreya</creatorcontrib><creatorcontrib>Wolff-Hughes, Dana L</creatorcontrib><creatorcontrib>Watts, Eleanor L</creatorcontrib><creatorcontrib>Loftfield, Erikka</creatorcontrib><creatorcontrib>Hong, Hyokyoung G</creatorcontrib><creatorcontrib>Moore, Steven C</creatorcontrib><creatorcontrib>Matthews, Charles E</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saint-Maurice, Pedro F</au><au>Freeman, Joshua R</au><au>Russ, Daniel</au><au>Almeida, Jonas S</au><au>Shams-White, Marissa M</au><au>Patel, Shreya</au><au>Wolff-Hughes, Dana L</au><au>Watts, Eleanor L</au><au>Loftfield, Erikka</au><au>Hong, Hyokyoung G</au><au>Moore, Steven C</au><au>Matthews, Charles E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations between actigraphy-measured sleep duration, continuity, and timing with mortality in the UK Biobank</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><addtitle>Sleep</addtitle><date>2024-03-11</date><risdate>2024</risdate><volume>47</volume><issue>3</issue><spage>1</spage><pages>1-</pages><issn>0161-8105</issn><issn>1550-9109</issn><eissn>1550-9109</eissn><abstract>Abstract
Study Objectives
To examine the associations between sleep duration, continuity, timing, and mortality using actigraphy among adults.
Methods
Data were from a cohort of 88 282 adults (40–69 years) in UK Biobank that wore a wrist-worn triaxial accelerometer for 7 days. Actigraphy data were processed to generate estimates of sleep duration and other sleep characteristics including wake after sleep onset (WASO), number of 5-minute awakenings, and midpoint for sleep onset/wake-up and the least active 5 hours (L5). Data were linked to mortality outcomes with follow-up to October 31, 2021. We implemented Cox models (hazard ratio, confidence intervals [HR, 95% CI]) to quantify sleep associations with mortality. Models were adjusted for demographics, lifestyle factors, and medical conditions.
Results
Over an average of 6.8 years 2973 deaths occurred (1700 cancer, 586 CVD deaths). Overall sleep duration was significantly associated with risk for all-cause (p < 0.01), cancer (p < 0.01), and CVD (p = 0.03) mortality. For example, when compared to sleep durations of 7.0 hrs/d, durations of 5 hrs/d were associated with a 29% higher risk for all-cause mortality (HR: 1.29 [1.09, 1.52]). WASO and number of awakenings were not associated with mortality. Individuals with L5 early or late midpoints (<2:30 or ≥ 3:30) had a ~20% higher risk for all-cause mortality, compared to those with intermediate L5 midpoints (3:00–3:29; p ≤ 0.01; e.g. HR ≥ 3:30: 1.19 [1.07, 1.32]).
Conclusions
Shorter sleep duration and both early and late sleep timing were associated with a higher mortality risk. These findings reinforce the importance of public health efforts to promote healthy sleep patterns in adults.
Graphical Abstract
Graphical Abstract</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>38066693</pmid><doi>10.1093/sleep/zsad312</doi><orcidid>https://orcid.org/0000-0001-8037-3103</orcidid><orcidid>https://orcid.org/0000-0003-4040-4416</orcidid><orcidid>https://orcid.org/0000-0002-7883-7922</orcidid><orcidid>https://orcid.org/0000-0002-3573-8748</orcidid><orcidid>https://orcid.org/0000-0001-7483-7848</orcidid><orcidid>https://orcid.org/0000-0002-8169-1661</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
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| ispartof | Sleep (New York, N.Y.), 2024-03, Vol.47 (3), p.1 |
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| source | Oxford University Press Journals; MEDLINE; Free E-Journal (出版社公開部分のみ）; Alma/SFX Local Collection |
| subjects | Actigraphy Adult Analysis Biobanks Biological Specimen Banks Cardiovascular Diseases Epidemiology Health aspects Humans Mortality Neoplasms Sleep Sleep Duration Sleep, Health, and Disease UK Biobank United Kingdom |
| title | Associations between actigraphy-measured sleep duration, continuity, and timing with mortality in the UK Biobank |
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