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Individual and neighborhood socioeconomic status and long-term individual trajectories of sleep duration among Black and White adults: the Southern Community Cohort Study
Abstract Study Objectives Sleep duration can change over the life course; however, previous studies rarely investigated the association between socioeconomic status (SES) and individual sleep trajectories over time. We examined the association between baseline socioeconomic characteristics and long-...
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Published in: | Sleep (New York, N.Y.) N.Y.), 2023-01, Vol.46 (1), p.1 |
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description | Abstract
Study Objectives
Sleep duration can change over the life course; however, previous studies rarely investigated the association between socioeconomic status (SES) and individual sleep trajectories over time. We examined the association between baseline socioeconomic characteristics and long-term sleep trajectories among Black and White adults.
Methods
This study used data from the Southern Community Cohort Study (N = 45 035). Diverse trajectories of sleep duration were constructed using self-reported sleep duration at baseline and after ~10 years of follow-up. The associations between baseline socioeconomic characteristics and sleep trajectories were examined using multinomial logistic regression.
Results
Both Black and White participants experienced similar long-term individual sleep trajectories for baseline educational attainment and employment status albeit the associations appeared stronger among White participants. Lower education and unemployment were associated with higher odds of various suboptimal sleep trajectories suggesting worsening long-term sleep patterns among both racial groups. However, there were some racial differences in the experience of long-term sleep trajectories for household income and neighborhood SES. Household income was notably more important among White than Black individuals; lower household income was associated with higher odds of more suboptimal long-term sleep trajectories for White than Black individuals. Also, neighborhood SES was slightly more important among White than Black individuals; lower neighborhood SES was associated with higher odds of a few suboptimal long-term sleep trajectories for both racial groups.
Conclusions
Lower socioeconomic characteristics were associated with various suboptimal long-term sleep trajectories among Black and White participants. Substantial improvements in socio-economic characteristics may contribute to improved sleep patterns.
Graphical Abstract
Graphical Abstract |
doi_str_mv | 10.1093/sleep/zsac225 |
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Study Objectives
Sleep duration can change over the life course; however, previous studies rarely investigated the association between socioeconomic status (SES) and individual sleep trajectories over time. We examined the association between baseline socioeconomic characteristics and long-term sleep trajectories among Black and White adults.
Methods
This study used data from the Southern Community Cohort Study (N = 45 035). Diverse trajectories of sleep duration were constructed using self-reported sleep duration at baseline and after ~10 years of follow-up. The associations between baseline socioeconomic characteristics and sleep trajectories were examined using multinomial logistic regression.
Results
Both Black and White participants experienced similar long-term individual sleep trajectories for baseline educational attainment and employment status albeit the associations appeared stronger among White participants. Lower education and unemployment were associated with higher odds of various suboptimal sleep trajectories suggesting worsening long-term sleep patterns among both racial groups. However, there were some racial differences in the experience of long-term sleep trajectories for household income and neighborhood SES. Household income was notably more important among White than Black individuals; lower household income was associated with higher odds of more suboptimal long-term sleep trajectories for White than Black individuals. Also, neighborhood SES was slightly more important among White than Black individuals; lower neighborhood SES was associated with higher odds of a few suboptimal long-term sleep trajectories for both racial groups.
Conclusions
Lower socioeconomic characteristics were associated with various suboptimal long-term sleep trajectories among Black and White participants. Substantial improvements in socio-economic characteristics may contribute to improved sleep patterns.
Graphical Abstract
Graphical Abstract</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/zsac225</identifier><identifier>PMID: 36124765</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Adult ; Adults ; Black or African American ; Cohort analysis ; Cohort Studies ; Family income ; Humans ; Neighborhoods ; Residence Characteristics ; Sleep ; Sleep Across the Lifespan ; Sleep Duration ; Social Class ; Social classes ; Socioeconomic Factors ; Socioeconomic status ; Type 2 diabetes ; Unemployment ; White</subject><ispartof>Sleep (New York, N.Y.), 2023-01, Vol.46 (1), p.1</ispartof><rights>The Author(s) 2022. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2022</rights><rights>The Author(s) 2022. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>COPYRIGHT 2023 Oxford University Press</rights><rights>The Author(s) 2022. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c515t-14dfcf430df1589a662c381810bd3c6f64b0e1cfd9190928610d02015dd716e43</citedby><cites>FETCH-LOGICAL-c515t-14dfcf430df1589a662c381810bd3c6f64b0e1cfd9190928610d02015dd716e43</cites><orcidid>0000-0002-6999-351X ; 0000-0001-5393-6695 ; 0000-0002-8388-1178</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36124765$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nyarko, Samuel H</creatorcontrib><creatorcontrib>Luo, Liying</creatorcontrib><creatorcontrib>Schlundt, David G</creatorcontrib><creatorcontrib>Xiao, Qian</creatorcontrib><title>Individual and neighborhood socioeconomic status and long-term individual trajectories of sleep duration among Black and White adults: the Southern Community Cohort Study</title><title>Sleep (New York, N.Y.)</title><addtitle>Sleep</addtitle><description>Abstract
Study Objectives
Sleep duration can change over the life course; however, previous studies rarely investigated the association between socioeconomic status (SES) and individual sleep trajectories over time. We examined the association between baseline socioeconomic characteristics and long-term sleep trajectories among Black and White adults.
Methods
This study used data from the Southern Community Cohort Study (N = 45 035). Diverse trajectories of sleep duration were constructed using self-reported sleep duration at baseline and after ~10 years of follow-up. The associations between baseline socioeconomic characteristics and sleep trajectories were examined using multinomial logistic regression.
Results
Both Black and White participants experienced similar long-term individual sleep trajectories for baseline educational attainment and employment status albeit the associations appeared stronger among White participants. Lower education and unemployment were associated with higher odds of various suboptimal sleep trajectories suggesting worsening long-term sleep patterns among both racial groups. However, there were some racial differences in the experience of long-term sleep trajectories for household income and neighborhood SES. Household income was notably more important among White than Black individuals; lower household income was associated with higher odds of more suboptimal long-term sleep trajectories for White than Black individuals. Also, neighborhood SES was slightly more important among White than Black individuals; lower neighborhood SES was associated with higher odds of a few suboptimal long-term sleep trajectories for both racial groups.
Conclusions
Lower socioeconomic characteristics were associated with various suboptimal long-term sleep trajectories among Black and White participants. Substantial improvements in socio-economic characteristics may contribute to improved sleep patterns.
Graphical Abstract
Graphical Abstract</description><subject>Adult</subject><subject>Adults</subject><subject>Black or African American</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Family income</subject><subject>Humans</subject><subject>Neighborhoods</subject><subject>Residence Characteristics</subject><subject>Sleep</subject><subject>Sleep Across the Lifespan</subject><subject>Sleep Duration</subject><subject>Social Class</subject><subject>Social classes</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomic status</subject><subject>Type 2 diabetes</subject><subject>Unemployment</subject><subject>White</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkk2LFDEQhhtR3HH16FUCXrz0btLppLs9COvgx8KCh1U8hkw-pjN2p8Z8LIw_yV9pnBl3XRAkh0pSz_tSlVRVPSf4jOCBnsfJmO35jyhV07AH1YIwhuuhpB5WC0w4qXuC2Un1JMYNLud2oI-rE8pJ03acLaqfl167G6eznJD0Gnnj1uMKwgigUQTlwCjwMDuFYpIpxz01gV_XyYQZuTt5CnJjVILgTERg0b4ypHOQyYFHci4i9HaS6tve4-vokkFS5ynF1yiNBl1DLiF4tIR5zt6lXdmNEBK6TlnvnlaPrJyieXaMp9WX9-8-Lz_WV58-XC4vrmrFCEs1abVVtqVYW8L6QXLeKNqT8gwrTRW3vF1hQ5TVAxnw0PScYI0bTJjWHeGmpafVm4PvNq9mo5XxpbNJbIObZdgJkE7cz3g3ijXciKGnDSNNMXh5NAjwPZuYxAZy8KVm0fQN7TltObmj1nIywnkLxUzNLipx0bGeFreuK9TZP6iytCl_At5YV-7vCeqDQAWIMRh7WzjB4vfEiP2_iOPEFP7F393e0n9GpACvDgDk7X-8fgFgYc_p</recordid><startdate>20230111</startdate><enddate>20230111</enddate><creator>Nyarko, Samuel H</creator><creator>Luo, Liying</creator><creator>Schlundt, David G</creator><creator>Xiao, Qian</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</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>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6999-351X</orcidid><orcidid>https://orcid.org/0000-0001-5393-6695</orcidid><orcidid>https://orcid.org/0000-0002-8388-1178</orcidid></search><sort><creationdate>20230111</creationdate><title>Individual and neighborhood socioeconomic status and long-term individual trajectories of sleep duration among Black and White adults: the Southern Community Cohort Study</title><author>Nyarko, Samuel H ; Luo, Liying ; Schlundt, David G ; Xiao, Qian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c515t-14dfcf430df1589a662c381810bd3c6f64b0e1cfd9190928610d02015dd716e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Adults</topic><topic>Black or African American</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Family income</topic><topic>Humans</topic><topic>Neighborhoods</topic><topic>Residence Characteristics</topic><topic>Sleep</topic><topic>Sleep Across the Lifespan</topic><topic>Sleep Duration</topic><topic>Social Class</topic><topic>Social classes</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomic status</topic><topic>Type 2 diabetes</topic><topic>Unemployment</topic><topic>White</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nyarko, Samuel H</creatorcontrib><creatorcontrib>Luo, Liying</creatorcontrib><creatorcontrib>Schlundt, David G</creatorcontrib><creatorcontrib>Xiao, Qian</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 Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database (ProQuest)</collection><collection>ProQuest Research Library</collection><collection>Research Library (Corporate)</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 One Psychology</collection><collection>ProQuest Central Basic</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>Nyarko, Samuel H</au><au>Luo, Liying</au><au>Schlundt, David G</au><au>Xiao, Qian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Individual and neighborhood socioeconomic status and long-term individual trajectories of sleep duration among Black and White adults: the Southern Community Cohort Study</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><addtitle>Sleep</addtitle><date>2023-01-11</date><risdate>2023</risdate><volume>46</volume><issue>1</issue><spage>1</spage><pages>1-</pages><issn>0161-8105</issn><eissn>1550-9109</eissn><abstract>Abstract
Study Objectives
Sleep duration can change over the life course; however, previous studies rarely investigated the association between socioeconomic status (SES) and individual sleep trajectories over time. We examined the association between baseline socioeconomic characteristics and long-term sleep trajectories among Black and White adults.
Methods
This study used data from the Southern Community Cohort Study (N = 45 035). Diverse trajectories of sleep duration were constructed using self-reported sleep duration at baseline and after ~10 years of follow-up. The associations between baseline socioeconomic characteristics and sleep trajectories were examined using multinomial logistic regression.
Results
Both Black and White participants experienced similar long-term individual sleep trajectories for baseline educational attainment and employment status albeit the associations appeared stronger among White participants. Lower education and unemployment were associated with higher odds of various suboptimal sleep trajectories suggesting worsening long-term sleep patterns among both racial groups. However, there were some racial differences in the experience of long-term sleep trajectories for household income and neighborhood SES. Household income was notably more important among White than Black individuals; lower household income was associated with higher odds of more suboptimal long-term sleep trajectories for White than Black individuals. Also, neighborhood SES was slightly more important among White than Black individuals; lower neighborhood SES was associated with higher odds of a few suboptimal long-term sleep trajectories for both racial groups.
Conclusions
Lower socioeconomic characteristics were associated with various suboptimal long-term sleep trajectories among Black and White participants. Substantial improvements in socio-economic characteristics may contribute to improved sleep patterns.
Graphical Abstract
Graphical Abstract</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>36124765</pmid><doi>10.1093/sleep/zsac225</doi><orcidid>https://orcid.org/0000-0002-6999-351X</orcidid><orcidid>https://orcid.org/0000-0001-5393-6695</orcidid><orcidid>https://orcid.org/0000-0002-8388-1178</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Adults Black or African American Cohort analysis Cohort Studies Family income Humans Neighborhoods Residence Characteristics Sleep Sleep Across the Lifespan Sleep Duration Social Class Social classes Socioeconomic Factors Socioeconomic status Type 2 diabetes Unemployment White |
title | Individual and neighborhood socioeconomic status and long-term individual trajectories of sleep duration among Black and White adults: the Southern Community Cohort Study |
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