Loading…
Sleep and screen exposure across the beginning of life: deciphering the links using big-data analytics
Abstract Study Objectives Evidence for the association between screen time and insufficient sleep is bourgeoning, and recent findings suggest that these associations may be more pronounced in younger compared to older children, and for portable compared to non-portable devices. However, these effect...
Saved in:
Published in: | Sleep (New York, N.Y.) N.Y.), 2021-03, Vol.44 (3), p.1 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c460t-11054cc86e0c865f6bd8baa48b311c58cecaec7fda5a805e739ff3806ebdbb483 |
---|---|
cites | cdi_FETCH-LOGICAL-c460t-11054cc86e0c865f6bd8baa48b311c58cecaec7fda5a805e739ff3806ebdbb483 |
container_end_page | |
container_issue | 3 |
container_start_page | 1 |
container_title | Sleep (New York, N.Y.) |
container_volume | 44 |
creator | Kahn, Michal Barnett, Natalie Glazer, Assaf Gradisar, Michael |
description | Abstract
Study Objectives
Evidence for the association between screen time and insufficient sleep is bourgeoning, and recent findings suggest that these associations may be more pronounced in younger compared to older children, and for portable compared to non-portable devices. However, these effects have yet to be investigated within the beginning of life. Importantly, there are no data for the relationship between screen exposure and objectively measured infant sleep. This study examined the moderating role of age for both touchscreens’ and television’s relationship with sleep, using auto-videosomnography within a big-data sample of infants.
Methods
The sleep of 1074 infants (46% girls) aged 0–18 months was objectively assessed using computer-vision technology in this cross-sectional study. Sleep was additionally reported by parents in an online survey, as was infant exposure to screens.
Results
Age significantly moderated the relationship between daytime touchscreen exposure and sleep with a distinct pattern for younger infants, in which screen exposure was associated with decreased daytime sleep, but with a proposed compensatory increase in nighttime sleep consolidation. Compared to touchscreens, television exposure was less likely to be associated with sleep metrics, and age moderated this relationship only for daytime and 24-hour sleep duration.
Conclusions
In young infants, a daytime-nighttime sleep “trade-off” emerged, suggesting that the displacement of daytime sleep by screens may lead to greater accumulation of sleep homeostatic pressure, which in turn facilitates more consolidated nighttime sleep. |
doi_str_mv | 10.1093/sleep/zsaa158 |
format | article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2436876630</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A700235344</galeid><oup_id>10.1093/sleep/zsaa158</oup_id><sourcerecordid>A700235344</sourcerecordid><originalsourceid>FETCH-LOGICAL-c460t-11054cc86e0c865f6bd8baa48b311c58cecaec7fda5a805e739ff3806ebdbb483</originalsourceid><addsrcrecordid>eNqFkUFvFSEUhYnR2Gd16daQuHEzLQwDj3HXNFZNmrhQ1-TCXF6p82CEmcT668u0TxuNiSGB3Mt3Ti4cQl5ydsJZL07LiDid_iwAXOpHZMOlZE1frx6TDeOKN5ozeUSelXLNat314ik5Eq0Wba_5hvjPq55CHGhxGTFS_DGlsmSk4HIqhc5XSC3uQowh7mjydAwe39IBXZiuMK_NFRlD_FboUtbahl0zwAzVFsabObjynDzxMBZ8cTiPydeLd1_OPzSXn95_PD-7bFyn2NzwOmvnnFbI6ia9soO2AJ22gnMntUMH6LZ-AAmaSdyK3nuhmUI7WNtpcUze3PtOOX1fsMxmH4rDcYSIaSmm7YTSW6UEq-jrv9DrtOQ6cKWkEkL2nLcP1A5GNCH6NGdwq6k52zLWCim6rlIn_6DqGnAfXIroQ-3_IWjuBXd_nNGbKYc95BvDmVlzNXe5mkOulX91GHaxexx-07-CfHh4Wqb_eN0COXmtdw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2563359112</pqid></control><display><type>article</type><title>Sleep and screen exposure across the beginning of life: deciphering the links using big-data analytics</title><source>Oxford Journals Online</source><source>Alma/SFX Local Collection</source><creator>Kahn, Michal ; Barnett, Natalie ; Glazer, Assaf ; Gradisar, Michael</creator><creatorcontrib>Kahn, Michal ; Barnett, Natalie ; Glazer, Assaf ; Gradisar, Michael</creatorcontrib><description>Abstract
Study Objectives
Evidence for the association between screen time and insufficient sleep is bourgeoning, and recent findings suggest that these associations may be more pronounced in younger compared to older children, and for portable compared to non-portable devices. However, these effects have yet to be investigated within the beginning of life. Importantly, there are no data for the relationship between screen exposure and objectively measured infant sleep. This study examined the moderating role of age for both touchscreens’ and television’s relationship with sleep, using auto-videosomnography within a big-data sample of infants.
Methods
The sleep of 1074 infants (46% girls) aged 0–18 months was objectively assessed using computer-vision technology in this cross-sectional study. Sleep was additionally reported by parents in an online survey, as was infant exposure to screens.
Results
Age significantly moderated the relationship between daytime touchscreen exposure and sleep with a distinct pattern for younger infants, in which screen exposure was associated with decreased daytime sleep, but with a proposed compensatory increase in nighttime sleep consolidation. Compared to touchscreens, television exposure was less likely to be associated with sleep metrics, and age moderated this relationship only for daytime and 24-hour sleep duration.
Conclusions
In young infants, a daytime-nighttime sleep “trade-off” emerged, suggesting that the displacement of daytime sleep by screens may lead to greater accumulation of sleep homeostatic pressure, which in turn facilitates more consolidated nighttime sleep.</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/zsaa158</identifier><identifier>PMID: 32832981</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Adolescent ; Beginning of Human Life ; Child ; Child, Preschool ; Comparative analysis ; Computer vision ; Cross-Sectional Studies ; Data Science ; Female ; Humans ; Infant ; Infant, Newborn ; Infants ; Sleep ; Television ; Time Factors</subject><ispartof>Sleep (New York, N.Y.), 2021-03, Vol.44 (3), p.1</ispartof><rights>Sleep Research Society 2020. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com. 2020</rights><rights>Sleep Research Society 2020. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.</rights><rights>COPYRIGHT 2021 Oxford University Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-11054cc86e0c865f6bd8baa48b311c58cecaec7fda5a805e739ff3806ebdbb483</citedby><cites>FETCH-LOGICAL-c460t-11054cc86e0c865f6bd8baa48b311c58cecaec7fda5a805e739ff3806ebdbb483</cites><orcidid>0000-0002-8682-2974</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32832981$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kahn, Michal</creatorcontrib><creatorcontrib>Barnett, Natalie</creatorcontrib><creatorcontrib>Glazer, Assaf</creatorcontrib><creatorcontrib>Gradisar, Michael</creatorcontrib><title>Sleep and screen exposure across the beginning of life: deciphering the links using big-data analytics</title><title>Sleep (New York, N.Y.)</title><addtitle>Sleep</addtitle><description>Abstract
Study Objectives
Evidence for the association between screen time and insufficient sleep is bourgeoning, and recent findings suggest that these associations may be more pronounced in younger compared to older children, and for portable compared to non-portable devices. However, these effects have yet to be investigated within the beginning of life. Importantly, there are no data for the relationship between screen exposure and objectively measured infant sleep. This study examined the moderating role of age for both touchscreens’ and television’s relationship with sleep, using auto-videosomnography within a big-data sample of infants.
Methods
The sleep of 1074 infants (46% girls) aged 0–18 months was objectively assessed using computer-vision technology in this cross-sectional study. Sleep was additionally reported by parents in an online survey, as was infant exposure to screens.
Results
Age significantly moderated the relationship between daytime touchscreen exposure and sleep with a distinct pattern for younger infants, in which screen exposure was associated with decreased daytime sleep, but with a proposed compensatory increase in nighttime sleep consolidation. Compared to touchscreens, television exposure was less likely to be associated with sleep metrics, and age moderated this relationship only for daytime and 24-hour sleep duration.
Conclusions
In young infants, a daytime-nighttime sleep “trade-off” emerged, suggesting that the displacement of daytime sleep by screens may lead to greater accumulation of sleep homeostatic pressure, which in turn facilitates more consolidated nighttime sleep.</description><subject>Adolescent</subject><subject>Beginning of Human Life</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Comparative analysis</subject><subject>Computer vision</subject><subject>Cross-Sectional Studies</subject><subject>Data Science</subject><subject>Female</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Infants</subject><subject>Sleep</subject><subject>Television</subject><subject>Time Factors</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkUFvFSEUhYnR2Gd16daQuHEzLQwDj3HXNFZNmrhQ1-TCXF6p82CEmcT668u0TxuNiSGB3Mt3Ti4cQl5ydsJZL07LiDid_iwAXOpHZMOlZE1frx6TDeOKN5ozeUSelXLNat314ik5Eq0Wba_5hvjPq55CHGhxGTFS_DGlsmSk4HIqhc5XSC3uQowh7mjydAwe39IBXZiuMK_NFRlD_FboUtbahl0zwAzVFsabObjynDzxMBZ8cTiPydeLd1_OPzSXn95_PD-7bFyn2NzwOmvnnFbI6ia9soO2AJ22gnMntUMH6LZ-AAmaSdyK3nuhmUI7WNtpcUze3PtOOX1fsMxmH4rDcYSIaSmm7YTSW6UEq-jrv9DrtOQ6cKWkEkL2nLcP1A5GNCH6NGdwq6k52zLWCim6rlIn_6DqGnAfXIroQ-3_IWjuBXd_nNGbKYc95BvDmVlzNXe5mkOulX91GHaxexx-07-CfHh4Wqb_eN0COXmtdw</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Kahn, Michal</creator><creator>Barnett, Natalie</creator><creator>Glazer, Assaf</creator><creator>Gradisar, Michael</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>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8682-2974</orcidid></search><sort><creationdate>20210301</creationdate><title>Sleep and screen exposure across the beginning of life: deciphering the links using big-data analytics</title><author>Kahn, Michal ; Barnett, Natalie ; Glazer, Assaf ; Gradisar, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-11054cc86e0c865f6bd8baa48b311c58cecaec7fda5a805e739ff3806ebdbb483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Beginning of Human Life</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Comparative analysis</topic><topic>Computer vision</topic><topic>Cross-Sectional Studies</topic><topic>Data Science</topic><topic>Female</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Infants</topic><topic>Sleep</topic><topic>Television</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kahn, Michal</creatorcontrib><creatorcontrib>Barnett, Natalie</creatorcontrib><creatorcontrib>Glazer, Assaf</creatorcontrib><creatorcontrib>Gradisar, Michael</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>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</collection><collection>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 Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kahn, Michal</au><au>Barnett, Natalie</au><au>Glazer, Assaf</au><au>Gradisar, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sleep and screen exposure across the beginning of life: deciphering the links using big-data analytics</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><addtitle>Sleep</addtitle><date>2021-03-01</date><risdate>2021</risdate><volume>44</volume><issue>3</issue><spage>1</spage><pages>1-</pages><issn>0161-8105</issn><eissn>1550-9109</eissn><abstract>Abstract
Study Objectives
Evidence for the association between screen time and insufficient sleep is bourgeoning, and recent findings suggest that these associations may be more pronounced in younger compared to older children, and for portable compared to non-portable devices. However, these effects have yet to be investigated within the beginning of life. Importantly, there are no data for the relationship between screen exposure and objectively measured infant sleep. This study examined the moderating role of age for both touchscreens’ and television’s relationship with sleep, using auto-videosomnography within a big-data sample of infants.
Methods
The sleep of 1074 infants (46% girls) aged 0–18 months was objectively assessed using computer-vision technology in this cross-sectional study. Sleep was additionally reported by parents in an online survey, as was infant exposure to screens.
Results
Age significantly moderated the relationship between daytime touchscreen exposure and sleep with a distinct pattern for younger infants, in which screen exposure was associated with decreased daytime sleep, but with a proposed compensatory increase in nighttime sleep consolidation. Compared to touchscreens, television exposure was less likely to be associated with sleep metrics, and age moderated this relationship only for daytime and 24-hour sleep duration.
Conclusions
In young infants, a daytime-nighttime sleep “trade-off” emerged, suggesting that the displacement of daytime sleep by screens may lead to greater accumulation of sleep homeostatic pressure, which in turn facilitates more consolidated nighttime sleep.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>32832981</pmid><doi>10.1093/sleep/zsaa158</doi><orcidid>https://orcid.org/0000-0002-8682-2974</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0161-8105 |
ispartof | Sleep (New York, N.Y.), 2021-03, Vol.44 (3), p.1 |
issn | 0161-8105 1550-9109 |
language | eng |
recordid | cdi_proquest_miscellaneous_2436876630 |
source | Oxford Journals Online; Alma/SFX Local Collection |
subjects | Adolescent Beginning of Human Life Child Child, Preschool Comparative analysis Computer vision Cross-Sectional Studies Data Science Female Humans Infant Infant, Newborn Infants Sleep Television Time Factors |
title | Sleep and screen exposure across the beginning of life: deciphering the links using big-data analytics |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T15%3A20%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sleep%20and%20screen%20exposure%20across%20the%20beginning%20of%20life:%20deciphering%20the%20links%20using%20big-data%20analytics&rft.jtitle=Sleep%20(New%20York,%20N.Y.)&rft.au=Kahn,%20Michal&rft.date=2021-03-01&rft.volume=44&rft.issue=3&rft.spage=1&rft.pages=1-&rft.issn=0161-8105&rft.eissn=1550-9109&rft_id=info:doi/10.1093/sleep/zsaa158&rft_dat=%3Cgale_proqu%3EA700235344%3C/gale_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c460t-11054cc86e0c865f6bd8baa48b311c58cecaec7fda5a805e739ff3806ebdbb483%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2563359112&rft_id=info:pmid/32832981&rft_galeid=A700235344&rft_oup_id=10.1093/sleep/zsaa158&rfr_iscdi=true |