Screenieboppers and extreme screenies: the place of screen time in the time budgets of 10–13 year‐old Australian children
Objectives: Excessive ‘screen time’ has been associated with a range of psychosocial disturbances and increasing pediatric obesity. This study describes the magnitude, distribution, composition and time‐distribution of children's screen use; examines correlates of screen use; and characterises...
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| Veröffentlicht in: | Australian and New Zealand journal of public health 2006-04, Vol.30 (2), p.137-142 |
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| container_title | Australian and New Zealand journal of public health |
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| creator | Olds, Tim Ridley, Kate Dollman, Jim |
| description | Objectives: Excessive ‘screen time’ has been associated with a range of psychosocial disturbances and increasing pediatric obesity. This study describes the magnitude, distribution, composition and time‐distribution of children's screen use; examines correlates of screen use; and characterises ‘extreme’ screen users (top quartile).
Methods: 1,039 South Australian children aged 10–13 years old completed a multimedia 24‐hour activity recall diary on 2–4 occasions in 2002, including at least one school day and one non‐school day.
Results: The median screen time was 229 minutes.d‐1. This was higher in boys (264 vs. 196 minutes; p |
| doi_str_mv | 10.1111/j.1467-842X.2006.tb00106.x |
| format | Article |
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Methods: 1,039 South Australian children aged 10–13 years old completed a multimedia 24‐hour activity recall diary on 2–4 occasions in 2002, including at least one school day and one non‐school day.
Results: The median screen time was 229 minutes.d‐1. This was higher in boys (264 vs. 196 minutes; p<0.001) and on non‐school days (260 vs. 190 minutes; p<0.001), increased with age (p=0.003), and decreased with socio‐economic status (SES; p=0.003). Television consumed 73% of all screen time, video games 19%, non‐game computer use 6%, and cinema 2%. The top quartile of screen users were more likely to be boys (OR=3.8), have low physical activity (OR=4.3), spend >25% of screen time playing video games (OR=1.8), sleep less, and be of lower SES.
Conclusions and Implications: Interventions to reduce screen time should target inactive, low‐SES boys, encourage earlier bedtimes, and limit video game use.</description><identifier>ISSN: 1326-0200</identifier><identifier>EISSN: 1753-6405</identifier><identifier>DOI: 10.1111/j.1467-842X.2006.tb00106.x</identifier><identifier>PMID: 16681334</identifier><language>eng</language><publisher>Oxford, UK: Elsevier B.V</publisher><subject>Adolescent ; Adolescent Behavior - classification ; Age Distribution ; Body mass index ; Boys ; Budgets ; Causality ; Child ; Child Behavior - classification ; Children ; Children & youth ; Childrens television ; Computer & video games ; Computer Terminals - utilization ; Exercise ; Female ; Girls ; Health Surveys ; Humans ; Influence ; Male ; Metabolism ; Motion Pictures - utilization ; Multimedia ; Nutrition ; Obesity ; Obesity - epidemiology ; Overweight ; Pediatrics ; Physical activity ; Physical fitness ; Quartiles ; Schools ; Sex Distribution ; Sleep ; Socioeconomic Factors ; Socioeconomic status ; Socioeconomics ; South Australia - epidemiology ; Teenagers ; Television ; Television - utilization ; Time ; Time Factors ; Video Games - statistics & numerical data</subject><ispartof>Australian and New Zealand journal of public health, 2006-04, Vol.30 (2), p.137-142</ispartof><rights>2006 Copyright 2006 THE AUTHORS.</rights><rights>2006. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6767-e1f62db0efbda0c0efa148c1ca0f883d218f32a8f7f788724a7332d9dd342de73</citedby><cites>FETCH-LOGICAL-c6767-e1f62db0efbda0c0efa148c1ca0f883d218f32a8f7f788724a7332d9dd342de73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1467-842X.2006.tb00106.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1467-842X.2006.tb00106.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27866,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16681334$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Olds, Tim</creatorcontrib><creatorcontrib>Ridley, Kate</creatorcontrib><creatorcontrib>Dollman, Jim</creatorcontrib><title>Screenieboppers and extreme screenies: the place of screen time in the time budgets of 10–13 year‐old Australian children</title><title>Australian and New Zealand journal of public health</title><addtitle>Aust N Z J Public Health</addtitle><description>Objectives: Excessive ‘screen time’ has been associated with a range of psychosocial disturbances and increasing pediatric obesity. This study describes the magnitude, distribution, composition and time‐distribution of children's screen use; examines correlates of screen use; and characterises ‘extreme’ screen users (top quartile).
Methods: 1,039 South Australian children aged 10–13 years old completed a multimedia 24‐hour activity recall diary on 2–4 occasions in 2002, including at least one school day and one non‐school day.
Results: The median screen time was 229 minutes.d‐1. This was higher in boys (264 vs. 196 minutes; p<0.001) and on non‐school days (260 vs. 190 minutes; p<0.001), increased with age (p=0.003), and decreased with socio‐economic status (SES; p=0.003). Television consumed 73% of all screen time, video games 19%, non‐game computer use 6%, and cinema 2%. The top quartile of screen users were more likely to be boys (OR=3.8), have low physical activity (OR=4.3), spend >25% of screen time playing video games (OR=1.8), sleep less, and be of lower SES.
Conclusions and Implications: Interventions to reduce screen time should target inactive, low‐SES boys, encourage earlier bedtimes, and limit video game use.</description><subject>Adolescent</subject><subject>Adolescent Behavior - classification</subject><subject>Age Distribution</subject><subject>Body mass index</subject><subject>Boys</subject><subject>Budgets</subject><subject>Causality</subject><subject>Child</subject><subject>Child Behavior - classification</subject><subject>Children</subject><subject>Children & youth</subject><subject>Childrens television</subject><subject>Computer & video games</subject><subject>Computer Terminals - utilization</subject><subject>Exercise</subject><subject>Female</subject><subject>Girls</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Influence</subject><subject>Male</subject><subject>Metabolism</subject><subject>Motion Pictures - utilization</subject><subject>Multimedia</subject><subject>Nutrition</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Overweight</subject><subject>Pediatrics</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Quartiles</subject><subject>Schools</subject><subject>Sex Distribution</subject><subject>Sleep</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomic status</subject><subject>Socioeconomics</subject><subject>South Australia - epidemiology</subject><subject>Teenagers</subject><subject>Television</subject><subject>Television - utilization</subject><subject>Time</subject><subject>Time Factors</subject><subject>Video Games - statistics & numerical data</subject><issn>1326-0200</issn><issn>1753-6405</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><recordid>eNqVkd2K1DAUx4so7oe-ggQF8aZj0mSSzN7IsK4zyjKKHzh4E9Lk1M3YaWvS6syFsI8g-Ib7JKbbouCFaAicw8nv_MM5_yS5T_CExPN4MyGMi1SybD3JMOaTNseYxLi7kRwSMaUpZ3h6M-Y04ymOyEFyFMIGRyqWbicHhHNJKGWHybc3xgNUDvK6acAHpCuLYNd62AIK41s4Qe0FoKbUBlBdjHXUusi46vrtOs87-xHa0CMEX13-IBTtQfury-91adG8C63XpdMVMheutB6qO8mtQpcB7o7xOHn37Ozt6TI9f7l4fjo_Tw0XcVIgBc9sjqHIrcYmRk2YNMRoXEhJbUZkQTMtC1EIKUXGtKA0szNrKcssCHqcPBx0G19_7iC0auuCgbLUFdRdUFzMGMecRPDRX0EiZ_FiltGIPvgD3dSdr-IYimLOoyGEskidDJTxdQgeCtV4t9V-rwhWvZtqo3o3Ve-m6t1Uo5tqF5vvjV90-Rbs79bRvgg8GYCvroT9f0ir-YdXS0L7zaSDggst7H4paP8pLoWKqXq_Wqj1i9VysVy9VuvIPx14iHZ9ceBVMA4qA9Z5MK2ytfuXyX4CWNvXNQ</recordid><startdate>200604</startdate><enddate>200604</enddate><creator>Olds, Tim</creator><creator>Ridley, Kate</creator><creator>Dollman, Jim</creator><general>Elsevier B.V</general><general>Blackwell Publishing Ltd</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>BSCLL</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>7QP</scope><scope>7T2</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7U2</scope><scope>7X8</scope></search><sort><creationdate>200604</creationdate><title>Screenieboppers and extreme screenies: the place of screen time in the time budgets of 10–13 year‐old Australian children</title><author>Olds, Tim ; Ridley, Kate ; Dollman, Jim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6767-e1f62db0efbda0c0efa148c1ca0f883d218f32a8f7f788724a7332d9dd342de73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adolescent</topic><topic>Adolescent Behavior - classification</topic><topic>Age Distribution</topic><topic>Body mass index</topic><topic>Boys</topic><topic>Budgets</topic><topic>Causality</topic><topic>Child</topic><topic>Child Behavior - classification</topic><topic>Children</topic><topic>Children & youth</topic><topic>Childrens television</topic><topic>Computer & video games</topic><topic>Computer Terminals - utilization</topic><topic>Exercise</topic><topic>Female</topic><topic>Girls</topic><topic>Health Surveys</topic><topic>Humans</topic><topic>Influence</topic><topic>Male</topic><topic>Metabolism</topic><topic>Motion Pictures - utilization</topic><topic>Multimedia</topic><topic>Nutrition</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Overweight</topic><topic>Pediatrics</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Quartiles</topic><topic>Schools</topic><topic>Sex Distribution</topic><topic>Sleep</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomic status</topic><topic>Socioeconomics</topic><topic>South Australia - epidemiology</topic><topic>Teenagers</topic><topic>Television</topic><topic>Television - utilization</topic><topic>Time</topic><topic>Time Factors</topic><topic>Video Games - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Olds, Tim</creatorcontrib><creatorcontrib>Ridley, Kate</creatorcontrib><creatorcontrib>Dollman, Jim</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Safety Science and Risk</collection><collection>MEDLINE - Academic</collection><jtitle>Australian and New Zealand journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Olds, Tim</au><au>Ridley, Kate</au><au>Dollman, Jim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Screenieboppers and extreme screenies: the place of screen time in the time budgets of 10–13 year‐old Australian children</atitle><jtitle>Australian and New Zealand journal of public health</jtitle><addtitle>Aust N Z J Public Health</addtitle><date>2006-04</date><risdate>2006</risdate><volume>30</volume><issue>2</issue><spage>137</spage><epage>142</epage><pages>137-142</pages><issn>1326-0200</issn><eissn>1753-6405</eissn><abstract>Objectives: Excessive ‘screen time’ has been associated with a range of psychosocial disturbances and increasing pediatric obesity. This study describes the magnitude, distribution, composition and time‐distribution of children's screen use; examines correlates of screen use; and characterises ‘extreme’ screen users (top quartile).
Methods: 1,039 South Australian children aged 10–13 years old completed a multimedia 24‐hour activity recall diary on 2–4 occasions in 2002, including at least one school day and one non‐school day.
Results: The median screen time was 229 minutes.d‐1. This was higher in boys (264 vs. 196 minutes; p<0.001) and on non‐school days (260 vs. 190 minutes; p<0.001), increased with age (p=0.003), and decreased with socio‐economic status (SES; p=0.003). Television consumed 73% of all screen time, video games 19%, non‐game computer use 6%, and cinema 2%. The top quartile of screen users were more likely to be boys (OR=3.8), have low physical activity (OR=4.3), spend >25% of screen time playing video games (OR=1.8), sleep less, and be of lower SES.
Conclusions and Implications: Interventions to reduce screen time should target inactive, low‐SES boys, encourage earlier bedtimes, and limit video game use.</abstract><cop>Oxford, UK</cop><pub>Elsevier B.V</pub><pmid>16681334</pmid><doi>10.1111/j.1467-842X.2006.tb00106.x</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Australian and New Zealand journal of public health, 2006-04, Vol.30 (2), p.137-142 |
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| source | MEDLINE; PAIS Index; Access via Wiley Online Library; Alma/SFX Local Collection |
| subjects | Adolescent Adolescent Behavior - classification Age Distribution Body mass index Boys Budgets Causality Child Child Behavior - classification Children Children & youth Childrens television Computer & video games Computer Terminals - utilization Exercise Female Girls Health Surveys Humans Influence Male Metabolism Motion Pictures - utilization Multimedia Nutrition Obesity Obesity - epidemiology Overweight Pediatrics Physical activity Physical fitness Quartiles Schools Sex Distribution Sleep Socioeconomic Factors Socioeconomic status Socioeconomics South Australia - epidemiology Teenagers Television Television - utilization Time Time Factors Video Games - statistics & numerical data |
| title | Screenieboppers and extreme screenies: the place of screen time in the time budgets of 10–13 year‐old Australian children |
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