How active are children in Toronto? A comparison with accelerometry data from the Canadian Health Measures Survey
The Canadian Health Measures Survey (CHMS) is the most comprehensive direct health measures survey ever conducted in Canada. Results show that the majority of children and youth (93%) do not meet current physical activity recommendations for health. CHMS data have not yet been considered alongside a...
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Veröffentlicht in: | Chronic diseases and injuries in Canada 2013-03, Vol.33 (2), p.61-68 |
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creator | Stone, M R Faulkner, G E Buliung, R N |
description | The Canadian Health Measures Survey (CHMS) is the most comprehensive direct health measures survey ever conducted in Canada. Results show that the majority of children and youth (93%) do not meet current physical activity recommendations for health. CHMS data have not yet been considered alongside an independent sample of Canadian youth; such a Canadian-context examination could support CHMS results and contribute to discussions regarding accelerometry data reduction protocols.
From 2010 to 2011, valid accelerometry data were collected on 856 children living in the Greater Toronto Area (GTA). Where possible, data presentation and analyses were aligned with the CHMS protocol such that physical activity outcomes could be compared.
Overall, trends were similar, with some deviations likely due to contextual and sampling differences and differences in data collection/reduction protocols regarding accelerometer model selection, wear time, activity intensity thresholds and epoch.
The similar trends support the notion that physical inactivity is an ongoing problem in communities across Canada. |
doi_str_mv | 10.24095/hpcdp.33.2.02 |
format | Article |
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From 2010 to 2011, valid accelerometry data were collected on 856 children living in the Greater Toronto Area (GTA). Where possible, data presentation and analyses were aligned with the CHMS protocol such that physical activity outcomes could be compared.
Overall, trends were similar, with some deviations likely due to contextual and sampling differences and differences in data collection/reduction protocols regarding accelerometer model selection, wear time, activity intensity thresholds and epoch.
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From 2010 to 2011, valid accelerometry data were collected on 856 children living in the Greater Toronto Area (GTA). Where possible, data presentation and analyses were aligned with the CHMS protocol such that physical activity outcomes could be compared.
Overall, trends were similar, with some deviations likely due to contextual and sampling differences and differences in data collection/reduction protocols regarding accelerometer model selection, wear time, activity intensity thresholds and epoch.
The similar trends support the notion that physical inactivity is an ongoing problem in communities across Canada.</description><subject>Accelerometry - methods</subject><subject>Accelerometry - statistics & numerical data</subject><subject>Adolescent</subject><subject>Anthropometry - methods</subject><subject>Canada - epidemiology</subject><subject>Child</subject><subject>Child Welfare - statistics & numerical data</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Data Interpretation, Statistical</subject><subject>Female</subject><subject>Guidelines as Topic</subject><subject>Health Behavior</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Male</subject><subject>Motor Activity</subject><subject>Obesity - epidemiology</subject><subject>Obesity - etiology</subject><subject>Obesity - prevention & control</subject><subject>Physical fitness</subject><subject>Physical Fitness - physiology</subject><subject>Physical Fitness - psychology</subject><subject>Sample Size</subject><subject>Sedentary Lifestyle</subject><subject>Statistical analysis</subject><subject>Trends</subject><issn>1925-6523</issn><issn>1925-6523</issn><issn>2368-738X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkUFLJDEQhYOsOKJePUpgL3uZ3iSVdJvTMgyrszDiQT2HmFSYHro7bdKtzL_foO6y7LtUFXz1eFQRcslZJSTT6vtudH6sACpRMXFETrkWalkrAV_-6RfkIuc9K1KNllqekIUA2TDe8FPysolv1LqpfUVqE1K3azufcKDtQB9jisMUf9AVdbEfbWpzHOhbO-3KhsMOU-xxSgfq7WRpKBOddkjXdrC-tQPdoO0Ke4c2zwkzfZjTKx7OyXGwXcaLz3pGnm5-Pq43y-397a_1art0UMO0DMorB0XoApON5QFcEDoIUbNrQB-cY55rDKpWGpSSEp1wugngnxsnNZyRbx--Y4ovM-bJ9G0uqTs7YJyz4cBVDeoamoJ-_Q_dxzkNJZ3hUtRNrQpbqOqDcinmnDCYMbW9TQfDmXn_h3n_hwEwwjBRFq4-befnHv1f_M_14Te9yocc</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>Stone, M R</creator><creator>Faulkner, G E</creator><creator>Buliung, R N</creator><general>Public Health Agency of Canada</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>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FQ</scope><scope>8FV</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>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M3G</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20130301</creationdate><title>How active are children in Toronto? A comparison with accelerometry data from the Canadian Health Measures Survey</title><author>Stone, M R ; Faulkner, G E ; Buliung, R N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-f5d5c3333ecf047a1f3cf29f226083edfcc0d19ef565935544ec2c97f3db7c493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accelerometry - methods</topic><topic>Accelerometry - statistics & numerical data</topic><topic>Adolescent</topic><topic>Anthropometry - methods</topic><topic>Canada - epidemiology</topic><topic>Child</topic><topic>Child Welfare - statistics & numerical data</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Data Interpretation, Statistical</topic><topic>Female</topic><topic>Guidelines as Topic</topic><topic>Health Behavior</topic><topic>Health Surveys</topic><topic>Humans</topic><topic>Male</topic><topic>Motor Activity</topic><topic>Obesity - epidemiology</topic><topic>Obesity - etiology</topic><topic>Obesity - prevention & control</topic><topic>Physical fitness</topic><topic>Physical Fitness - physiology</topic><topic>Physical Fitness - psychology</topic><topic>Sample Size</topic><topic>Sedentary Lifestyle</topic><topic>Statistical analysis</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stone, M R</creatorcontrib><creatorcontrib>Faulkner, G E</creatorcontrib><creatorcontrib>Buliung, R N</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>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Canadian Business & Current Affairs Database</collection><collection>Canadian Business & Current Affairs Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>CBCA Reference & Current Events</collection><collection>Publicly Available Content Database</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 Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Chronic diseases and injuries in Canada</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stone, M R</au><au>Faulkner, G E</au><au>Buliung, R N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How active are children in Toronto? A comparison with accelerometry data from the Canadian Health Measures Survey</atitle><jtitle>Chronic diseases and injuries in Canada</jtitle><addtitle>Chronic Dis Inj Can</addtitle><date>2013-03-01</date><risdate>2013</risdate><volume>33</volume><issue>2</issue><spage>61</spage><epage>68</epage><pages>61-68</pages><issn>1925-6523</issn><eissn>1925-6523</eissn><eissn>2368-738X</eissn><abstract>The Canadian Health Measures Survey (CHMS) is the most comprehensive direct health measures survey ever conducted in Canada. Results show that the majority of children and youth (93%) do not meet current physical activity recommendations for health. CHMS data have not yet been considered alongside an independent sample of Canadian youth; such a Canadian-context examination could support CHMS results and contribute to discussions regarding accelerometry data reduction protocols.
From 2010 to 2011, valid accelerometry data were collected on 856 children living in the Greater Toronto Area (GTA). Where possible, data presentation and analyses were aligned with the CHMS protocol such that physical activity outcomes could be compared.
Overall, trends were similar, with some deviations likely due to contextual and sampling differences and differences in data collection/reduction protocols regarding accelerometer model selection, wear time, activity intensity thresholds and epoch.
The similar trends support the notion that physical inactivity is an ongoing problem in communities across Canada.</abstract><cop>Canada</cop><pub>Public Health Agency of Canada</pub><pmid>23470171</pmid><doi>10.24095/hpcdp.33.2.02</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accelerometry - methods Accelerometry - statistics & numerical data Adolescent Anthropometry - methods Canada - epidemiology Child Child Welfare - statistics & numerical data Children & youth Childrens health Data Interpretation, Statistical Female Guidelines as Topic Health Behavior Health Surveys Humans Male Motor Activity Obesity - epidemiology Obesity - etiology Obesity - prevention & control Physical fitness Physical Fitness - physiology Physical Fitness - psychology Sample Size Sedentary Lifestyle Statistical analysis Trends |
title | How active are children in Toronto? A comparison with accelerometry data from the Canadian Health Measures Survey |
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