COVID-19 and screen-based sedentary behaviour: Systematic review of digital screen time and metabolic syndrome in adolescents
The COVID-19 pandemic has prompted governments around the globe to implement various restriction policies, including lockdown, social distancing, and school closures. Subsequently, there has been a surge in sedentary behaviour particularly screen time (ST) together with a significant decline in phys...
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description | The COVID-19 pandemic has prompted governments around the globe to implement various restriction policies, including lockdown, social distancing, and school closures. Subsequently, there has been a surge in sedentary behaviour particularly screen time (ST) together with a significant decline in physical activity that was more marked amongst children and adolescents. Excessive screen exposure in adolescents has been correlated with cardio-metabolic risk factors including obesity, hypertension, high cholesterol, and glucose intolerance that may have adverse morbidity and mortality implications in adulthood. Thus, the current study aimed to synthesize the literature on the relationship between ST of various types and the risk of metabolic syndrome (MetS) in adolescents in the context of the COVID-19 pandemic.
In August 2021, a systematic search of the literature was undertaken using electronic databases: PubMed, PsycINFO, and the Cochran library. Studies were considered if they met the following key eligibility criteria: (i) Measure of ST as an exposure (TV, computer, videogames, internet, smartphone, tablet), using quantified duration/frequency either self-reported or observed; (ii) Measure of MetS as an outcome with standard definition and/or criteria required to establish MetS diagnosis. The Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies was used to assess the risk of bias.
A total of ten studies met the inclusion criteria, and the majority were cross sectional studies. Most studies met fair bias scoring. Overall, the review revealed considerable evidence that suggests a significant negative association between ST and components of MetS among adolescents with dose-response association.
During the pandemic, screen usage may become more prevalent through periods of school closures, lockdowns, social isolation, and online learning classes. Public health policies and health promotion strategies targeting parents are needed to raise awareness of the adverse health effects associated with screen-based sedentary behaviour as a precursor of NCDs. Parent or home focused interventions might be effective in limiting adolescents' screen exposure, alternatively substituted with an appropriate level of physical activity.
PROSPERO 2021 CRD42021272436. |
doi_str_mv | 10.1371/journal.pone.0265560 |
format | Article |
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In August 2021, a systematic search of the literature was undertaken using electronic databases: PubMed, PsycINFO, and the Cochran library. Studies were considered if they met the following key eligibility criteria: (i) Measure of ST as an exposure (TV, computer, videogames, internet, smartphone, tablet), using quantified duration/frequency either self-reported or observed; (ii) Measure of MetS as an outcome with standard definition and/or criteria required to establish MetS diagnosis. The Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies was used to assess the risk of bias.
A total of ten studies met the inclusion criteria, and the majority were cross sectional studies. Most studies met fair bias scoring. Overall, the review revealed considerable evidence that suggests a significant negative association between ST and components of MetS among adolescents with dose-response association.
During the pandemic, screen usage may become more prevalent through periods of school closures, lockdowns, social isolation, and online learning classes. Public health policies and health promotion strategies targeting parents are needed to raise awareness of the adverse health effects associated with screen-based sedentary behaviour as a precursor of NCDs. Parent or home focused interventions might be effective in limiting adolescents' screen exposure, alternatively substituted with an appropriate level of physical activity.
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In August 2021, a systematic search of the literature was undertaken using electronic databases: PubMed, PsycINFO, and the Cochran library. Studies were considered if they met the following key eligibility criteria: (i) Measure of ST as an exposure (TV, computer, videogames, internet, smartphone, tablet), using quantified duration/frequency either self-reported or observed; (ii) Measure of MetS as an outcome with standard definition and/or criteria required to establish MetS diagnosis. The Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies was used to assess the risk of bias.
A total of ten studies met the inclusion criteria, and the majority were cross sectional studies. Most studies met fair bias scoring. Overall, the review revealed considerable evidence that suggests a significant negative association between ST and components of MetS among adolescents with dose-response association.
During the pandemic, screen usage may become more prevalent through periods of school closures, lockdowns, social isolation, and online learning classes. Public health policies and health promotion strategies targeting parents are needed to raise awareness of the adverse health effects associated with screen-based sedentary behaviour as a precursor of NCDs. Parent or home focused interventions might be effective in limiting adolescents' screen exposure, alternatively substituted with an appropriate level of physical activity.
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epidemiology</subject><subject>Metabolic Syndrome - etiology</subject><subject>Metabolic syndrome X</subject><subject>Morbidity</subject><subject>Obesity</subject><subject>Pandemics</subject><subject>Parents</subject><subject>People and Places</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Policies</subject><subject>Primary care</subject><subject>Public health</subject><subject>Quality assessment</subject><subject>Quality control</subject><subject>Research and Analysis Methods</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk factors</subject><subject>Screen Time</subject><subject>Sedentary Behavior</subject><subject>Smartphones</subject><subject>Social discrimination learning</subject><subject>Social interactions</subject><subject>Social isolation</subject><subject>Social Sciences</subject><subject>Systematic review</subject><subject>Teenagers</subject><subject>Tumor necrosis factor-TNF</subject><subject>Youth</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBEQkJwkeKvODEXSFP5qjSpEpt2a7nxSevJiYvtFnrBf8dds6lBu0CxlPjkOe_xe5KTZS8xmmBa4Q83buN7ZSdr18MEEV6WHD3KTrGgpOAE0cdHzyfZsxBuECppzfnT7ISWFJMK4dPsz3R-PftcYJGrXueh8QB9sVAB0gY09FH5Xb6AldqaVO9jfrkLEToVTZN72Br4lbs212ZporJDeh5NB7dyHUS1cDaxYddr71LY9LnSzkJoknZ4nj1plQ3wYrifZVdfv1xNvxcX82-z6flF0XBBYkF5jTBhTVlCVSFgqiKC1EzVIi1KKLRKCFKJBjRKEEWIV03NGpz2iil6lr0-yK6tC3JoXJCEM8xQgutEzA6EdupGrr3pkm_plJG3AeeXUvlk2oKsNaVViwURwBgVdS0WrNWqokJr2mKStD4N1TaLDvTeqFd2JDp-05uVXLqtTF44K1kSeDcIePdzAyHKzqR-Wat6cJvDueuS16RM6Jt_0IfdDdRSJQOmb12q2-xF5TkXFecVRnutyQNUujR0pkl_WWtSfJTwfpSQmAi_41JtQpCzyx__z86vx-zbI3YFysZVcHYTjevDGGQHsPEuBA_tfZMxkvshueuG3A-JHIYkpb06_kD3SXdTQf8C65ALxA</recordid><startdate>20220321</startdate><enddate>20220321</enddate><creator>Musa, Sarah</creator><creator>Elyamani, Rowaida</creator><creator>Dergaa, Ismail</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4457-9953</orcidid><orcidid>https://orcid.org/0000-0001-9506-3511</orcidid></search><sort><creationdate>20220321</creationdate><title>COVID-19 and screen-based sedentary behaviour: Systematic review of digital screen time and metabolic syndrome in adolescents</title><author>Musa, Sarah ; Elyamani, Rowaida ; Dergaa, Ismail</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-3680124c55e770e4a729284a89a89323efa99279ced0c5530067c84c1ed0a4a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Behavior</topic><topic>Bias</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Blood pressure</topic><topic>Cardiovascular disease</topic><topic>Children</topic><topic>Cholesterol</topic><topic>Communicable Disease Control</topic><topic>Computer & video games</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - psychology</topic><topic>Criteria</topic><topic>Cross-sectional studies</topic><topic>Diabetes</topic><topic>Disease control</topic><topic>Exercise</topic><topic>Exposure</topic><topic>Female</topic><topic>Glucose</topic><topic>Glucose tolerance</topic><topic>Health aspects</topic><topic>Health policy</topic><topic>Health promotion</topic><topic>Health risks</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Intolerance</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Metabolic Syndrome - etiology</topic><topic>Metabolic syndrome X</topic><topic>Morbidity</topic><topic>Obesity</topic><topic>Pandemics</topic><topic>Parents</topic><topic>People and Places</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Policies</topic><topic>Primary care</topic><topic>Public health</topic><topic>Quality assessment</topic><topic>Quality control</topic><topic>Research and Analysis Methods</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Risk factors</topic><topic>Screen Time</topic><topic>Sedentary Behavior</topic><topic>Smartphones</topic><topic>Social discrimination learning</topic><topic>Social interactions</topic><topic>Social isolation</topic><topic>Social Sciences</topic><topic>Systematic review</topic><topic>Teenagers</topic><topic>Tumor necrosis factor-TNF</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Musa, Sarah</creatorcontrib><creatorcontrib>Elyamani, Rowaida</creatorcontrib><creatorcontrib>Dergaa, Ismail</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Musa, Sarah</au><au>Elyamani, Rowaida</au><au>Dergaa, Ismail</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COVID-19 and screen-based sedentary behaviour: Systematic review of digital screen time and metabolic syndrome in adolescents</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-03-21</date><risdate>2022</risdate><volume>17</volume><issue>3</issue><spage>e0265560</spage><pages>e0265560-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The COVID-19 pandemic has prompted governments around the globe to implement various restriction policies, including lockdown, social distancing, and school closures. Subsequently, there has been a surge in sedentary behaviour particularly screen time (ST) together with a significant decline in physical activity that was more marked amongst children and adolescents. Excessive screen exposure in adolescents has been correlated with cardio-metabolic risk factors including obesity, hypertension, high cholesterol, and glucose intolerance that may have adverse morbidity and mortality implications in adulthood. Thus, the current study aimed to synthesize the literature on the relationship between ST of various types and the risk of metabolic syndrome (MetS) in adolescents in the context of the COVID-19 pandemic.
In August 2021, a systematic search of the literature was undertaken using electronic databases: PubMed, PsycINFO, and the Cochran library. Studies were considered if they met the following key eligibility criteria: (i) Measure of ST as an exposure (TV, computer, videogames, internet, smartphone, tablet), using quantified duration/frequency either self-reported or observed; (ii) Measure of MetS as an outcome with standard definition and/or criteria required to establish MetS diagnosis. The Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies was used to assess the risk of bias.
A total of ten studies met the inclusion criteria, and the majority were cross sectional studies. Most studies met fair bias scoring. Overall, the review revealed considerable evidence that suggests a significant negative association between ST and components of MetS among adolescents with dose-response association.
During the pandemic, screen usage may become more prevalent through periods of school closures, lockdowns, social isolation, and online learning classes. Public health policies and health promotion strategies targeting parents are needed to raise awareness of the adverse health effects associated with screen-based sedentary behaviour as a precursor of NCDs. Parent or home focused interventions might be effective in limiting adolescents' screen exposure, alternatively substituted with an appropriate level of physical activity.
PROSPERO 2021 CRD42021272436.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35312701</pmid><doi>10.1371/journal.pone.0265560</doi><tpages>e0265560</tpages><orcidid>https://orcid.org/0000-0002-4457-9953</orcidid><orcidid>https://orcid.org/0000-0001-9506-3511</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adolescents Behavior Bias Biology and Life Sciences Biomarkers Blood pressure Cardiovascular disease Children Cholesterol Communicable Disease Control Computer & video games Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - psychology Criteria Cross-sectional studies Diabetes Disease control Exercise Exposure Female Glucose Glucose tolerance Health aspects Health policy Health promotion Health risks Humans Hypertension Intolerance Male Medicine and Health Sciences Metabolic disorders Metabolic syndrome Metabolic Syndrome - epidemiology Metabolic Syndrome - etiology Metabolic syndrome X Morbidity Obesity Pandemics Parents People and Places Physical activity Physical fitness Policies Primary care Public health Quality assessment Quality control Research and Analysis Methods Risk analysis Risk assessment Risk factors Screen Time Sedentary Behavior Smartphones Social discrimination learning Social interactions Social isolation Social Sciences Systematic review Teenagers Tumor necrosis factor-TNF Youth |
title | COVID-19 and screen-based sedentary behaviour: Systematic review of digital screen time and metabolic syndrome in adolescents |
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