Clustering of Risk Behaviors and their Social Determinants among Primary School Learners in Beijing, China:A Cross-sectional Study
Background:Studies in developed countries reveal that poor lifestyle choices triggering diseases typically cluster among children.However,there is insufficient evidence on the clustering of risk behaviors among children in developing countries.This study aimed to determine the clustering of risk beh...
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description | Background:Studies in developed countries reveal that poor lifestyle choices triggering diseases typically cluster among children.However,there is insufficient evidence on the clustering of risk behaviors among children in developing countries.This study aimed to determine the clustering of risk behaviors and their social determinants among 4th-and 5th-grade learners in Beijing,China.Methods:The sample comprised of 967 learners from six primary schools enrolled migrant and resident learners by two-stage stratified cluster sampling.Prevalence denoted the risk behaviors and their clustering.A log-linear model was used to explore the clustering patterns.Ordinal logistic regression determined the influence of demographic characteristics,school environment,and family context on behavioral clustering.Results:The prevalence of none,one,two,and three or more risk factors was 61.2%,20.0%,10.8%,and 8.1% for infectious diseases and 46.0%,30.6%,15.4%,and 8.0% for chronic diseases,respectively.Some behaviors appeared dependent and were more likely to be observed together.The three most influential factors for infectious diseases were school type (odds ratio [OR] =4.47,95% confidence interval [CI] 3.00-6.66),school located in an inner suburb (OR =0.27,95% CI 0.18-0.38),and gender (OR =0.56,95% CI 0.42-0.74).Regarding risk behaviors for chronic diseases,clustering was not associated with household registration status and number of appliances,but was significantly associated with school type (OR =5.36,95% CI 3.72-7.73),school located in an inner suburb (OR =0.59,95% CI 0.43-0.81),and gender (OR =0.61,95% CI 0.47-0.78).School environment variables were the most significant contributor to the number of risk behaviors.Conclusions:The characteristics of schools enrolling migrants and residents influenced the number of risk behaviors.Therefore,improved school conditions and integrated behavioral interventions are particularly recommended for health promotion. |
doi_str_mv | 10.4103/0366-6999.158289 |
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Ltd.</rights><rights>Copyright Medknow Publications & Media Pvt. Ltd. Jun 20, 2015</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><rights>Copyright: © 2015 Chinese Medical Journal 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c551i-da98fb2ff54da2cebd1c903166688fb8a1d4d8250ae672130ff590c532ad1123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85656X/85656X.jpg</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4733749/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4733749/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26063355$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Yan</creatorcontrib><creatorcontrib>Ji, Ying</creatorcontrib><title>Clustering of Risk Behaviors and their Social Determinants among Primary School Learners in Beijing, China:A Cross-sectional Study</title><title>Chinese medical journal</title><addtitle>Chinese Medical Journal</addtitle><description>Background:Studies in developed countries reveal that poor lifestyle choices triggering diseases typically cluster among children.However,there is insufficient evidence on the clustering of risk behaviors among children in developing countries.This study aimed to determine the clustering of risk behaviors and their social determinants among 4th-and 5th-grade learners in Beijing,China.Methods:The sample comprised of 967 learners from six primary schools enrolled migrant and resident learners by two-stage stratified cluster sampling.Prevalence denoted the risk behaviors and their clustering.A log-linear model was used to explore the clustering patterns.Ordinal logistic regression determined the influence of demographic characteristics,school environment,and family context on behavioral clustering.Results:The prevalence of none,one,two,and three or more risk factors was 61.2%,20.0%,10.8%,and 8.1% for infectious diseases and 46.0%,30.6%,15.4%,and 8.0% for chronic diseases,respectively.Some behaviors appeared dependent and were more likely to be observed together.The three most influential factors for infectious diseases were school type (odds ratio [OR] =4.47,95% confidence interval [CI] 3.00-6.66),school located in an inner suburb (OR =0.27,95% CI 0.18-0.38),and gender (OR =0.56,95% CI 0.42-0.74).Regarding risk behaviors for chronic diseases,clustering was not associated with household registration status and number of appliances,but was significantly associated with school type (OR =5.36,95% CI 3.72-7.73),school located in an inner suburb (OR =0.59,95% CI 0.43-0.81),and gender (OR =0.61,95% CI 0.47-0.78).School environment variables were the most significant contributor to the number of risk behaviors.Conclusions:The characteristics of schools enrolling migrants and residents influenced the number of risk behaviors.Therefore,improved school conditions and integrated behavioral interventions are particularly recommended for health promotion.</description><subject>Adolescent</subject><subject>Beijing - epidemiology</subject><subject>Bisexuality</subject><subject>Child</subject><subject>Child behavior</subject><subject>China - epidemiology</subject><subject>Chronic Disease - epidemiology</subject><subject>Chronic illnesses</subject><subject>Communicable Diseases - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Demographic aspects</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Logistic回归分析</subject><subject>Male</subject><subject>Odds Ratio</subject><subject>Original</subject><subject>Prevalence studies (Epidemiology)</subject><subject>Risk taking</subject><subject>Schools - statistics & numerical data</subject><subject>Socioeconomic Factors</subject><subject>Students - statistics & numerical data</subject><subject>Studies</subject><subject>Teenagers</subject><subject>中小学</subject><subject>北京市</subject><subject>危险</subject><subject>学生</subject><subject>影响因素</subject><subject>社会因素</subject><subject>行为</subject><issn>0366-6999</issn><issn>2542-5641</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</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>eNptks2O0zAUhSMEYoaBPSsUgTRiQYp_YifZjFTCr1QJRGdvuY7TuE3sGTuZaljzFDwL78QrcEM7pUUoC0u53zm-vvdE0VOMJilG9DWinCe8KIoJZjnJi3vRKWEpSRhP8f3odF8-iR6FsEKIMJbxh9EJ4YhTythp9L1sh9Brb-wydnX81YR1_EY38sY4H2Jpq7hvtPHx3Ckj2_itBrYzVtoeqp0D1RdvOulv47lqnGvjmZbeatAaC0ZmBcav4rIBya-fP6Zx6V0ISdCqN86C4bwfqtvH0YNatkE_2Z1n0eX7d5flx2T2-cOncjpLFGPYJJUs8npB6pqllSRKLyqsCkQx5zyHQi5xlVY5YUhqnhFMEZAFUowSWWFM6Fl0sbW9GhadrpS2vZetuNo-QDhpxHHFmkYs3Y1IM0qztACD863BRtpa2qVYucHDK4L41qhuRRBmmMCUAXy5u8m760GHXnQmKN220mo3BIFhKWmB0z9NvfgH3Zvigoxbhbf8pZay1cLY2kGDajQV0xTnOMtzhoCa_IeCr9KdUc7q2sD_I8H5gaDRsu2b4NphXE44BtEWVOP-vK73U8NIjFEUY9bEmDWxjSJInh1Oey-4yx4A5W6aroVUhXU7bLQXwK6t2xwZJwfGcPBM3MUWXJ7vOmsgjdcQt_1NnLMUpxRR-hslEvot</recordid><startdate>20150620</startdate><enddate>20150620</enddate><creator>Zhang, Yan</creator><creator>Ji, Ying</creator><general>Medknow Publications Pvt Ltd</general><general>Medknow Publications and Media Pvt. Ltd</general><general>Lippincott Williams & Wilkins Ovid Technologies</general><general>Department of Nutrition and Food Hygiene,Beijing Centers for Diseases Control and Prevention,Beijing 100013,China%Department of Social Medicine and Health Education,School of Public Health,Peking University Health Science Center,Beijing 100191,China</general><general>Medknow Publications & Media Pvt Ltd</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W91</scope><scope>~WA</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</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>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope><scope>5PM</scope></search><sort><creationdate>20150620</creationdate><title>Clustering of Risk Behaviors and their Social Determinants among Primary School Learners in Beijing, China:A Cross-sectional Study</title><author>Zhang, Yan ; Ji, Ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c551i-da98fb2ff54da2cebd1c903166688fb8a1d4d8250ae672130ff590c532ad1123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Beijing - epidemiology</topic><topic>Bisexuality</topic><topic>Child</topic><topic>Child behavior</topic><topic>China - epidemiology</topic><topic>Chronic Disease - epidemiology</topic><topic>Chronic illnesses</topic><topic>Communicable Diseases - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Demographic aspects</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Logistic回归分析</topic><topic>Male</topic><topic>Odds Ratio</topic><topic>Original</topic><topic>Prevalence studies (Epidemiology)</topic><topic>Risk taking</topic><topic>Schools - statistics & numerical data</topic><topic>Socioeconomic Factors</topic><topic>Students - statistics & numerical data</topic><topic>Studies</topic><topic>Teenagers</topic><topic>中小学</topic><topic>北京市</topic><topic>危险</topic><topic>学生</topic><topic>影响因素</topic><topic>社会因素</topic><topic>行为</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Yan</creatorcontrib><creatorcontrib>Ji, Ying</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-医药卫生</collection><collection>中文科技期刊数据库- 镜像站点</collection><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>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>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>MEDLINE - Academic</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Chinese medical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yan</au><au>Ji, Ying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clustering of Risk Behaviors and their Social Determinants among Primary School Learners in Beijing, China:A Cross-sectional Study</atitle><jtitle>Chinese medical journal</jtitle><addtitle>Chinese Medical Journal</addtitle><date>2015-06-20</date><risdate>2015</risdate><volume>128</volume><issue>12</issue><spage>1567</spage><epage>1573</epage><pages>1567-1573</pages><issn>0366-6999</issn><eissn>2542-5641</eissn><abstract>Background:Studies in developed countries reveal that poor lifestyle choices triggering diseases typically cluster among children.However,there is insufficient evidence on the clustering of risk behaviors among children in developing countries.This study aimed to determine the clustering of risk behaviors and their social determinants among 4th-and 5th-grade learners in Beijing,China.Methods:The sample comprised of 967 learners from six primary schools enrolled migrant and resident learners by two-stage stratified cluster sampling.Prevalence denoted the risk behaviors and their clustering.A log-linear model was used to explore the clustering patterns.Ordinal logistic regression determined the influence of demographic characteristics,school environment,and family context on behavioral clustering.Results:The prevalence of none,one,two,and three or more risk factors was 61.2%,20.0%,10.8%,and 8.1% for infectious diseases and 46.0%,30.6%,15.4%,and 8.0% for chronic diseases,respectively.Some behaviors appeared dependent and were more likely to be observed together.The three most influential factors for infectious diseases were school type (odds ratio [OR] =4.47,95% confidence interval [CI] 3.00-6.66),school located in an inner suburb (OR =0.27,95% CI 0.18-0.38),and gender (OR =0.56,95% CI 0.42-0.74).Regarding risk behaviors for chronic diseases,clustering was not associated with household registration status and number of appliances,but was significantly associated with school type (OR =5.36,95% CI 3.72-7.73),school located in an inner suburb (OR =0.59,95% CI 0.43-0.81),and gender (OR =0.61,95% CI 0.47-0.78).School environment variables were the most significant contributor to the number of risk behaviors.Conclusions:The characteristics of schools enrolling migrants and residents influenced the number of risk behaviors.Therefore,improved school conditions and integrated behavioral interventions are particularly recommended for health promotion.</abstract><cop>China</cop><pub>Medknow Publications Pvt Ltd</pub><pmid>26063355</pmid><doi>10.4103/0366-6999.158289</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Beijing - epidemiology Bisexuality Child Child behavior China - epidemiology Chronic Disease - epidemiology Chronic illnesses Communicable Diseases - epidemiology Cross-Sectional Studies Demographic aspects Female Health risk assessment Humans Logistic Models Logistic回归分析 Male Odds Ratio Original Prevalence studies (Epidemiology) Risk taking Schools - statistics & numerical data Socioeconomic Factors Students - statistics & numerical data Studies Teenagers 中小学 北京市 危险 学生 影响因素 社会因素 行为 |
title | Clustering of Risk Behaviors and their Social Determinants among Primary School Learners in Beijing, China:A Cross-sectional Study |
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