1447 Weighting the Factors Associated with Children Obesity: An International Perspective Toward an Unified Model
Beside genetic predisposition, several factors have been proposed to promote overweight and eventually obesity in children, from the socio- and built- environment down to behavioural attitudes (Bouchard, 2007). How this model is shared by different cultural settings is however unclear and less inves...
Gespeichert in:
Veröffentlicht in: | Archives of disease in childhood 2012-10, Vol.97 (Suppl 2), p.A411-A411 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | A411 |
---|---|
container_issue | Suppl 2 |
container_start_page | A411 |
container_title | Archives of disease in childhood |
container_volume | 97 |
creator | Gregori, D Baldi, I |
description | Beside genetic predisposition, several factors have been proposed to promote overweight and eventually obesity in children, from the socio- and built- environment down to behavioural attitudes (Bouchard, 2007). How this model is shared by different cultural settings is however unclear and less investigated. Using a unified protocol for data collection, a cross-sectional study has been performed on 960 children in India, Italy, Germany, France, UK, Argentina, Mexico and Brazil. Children CDC z-scores for BMI have been evaluated in association with several known factors influencing overweight and obesity (maternal and neonatal aspects, socio-economic familiar status, BMI of parents, physical activity, nutrition habits, screen activities). Based on a random-effect mixed effect model and the Kullback-Leibler Entropy Measure, the capability to explain variability in BMI of such factors has been computed. Percentages of explained variation are given as follows: India 41.4%, Italy 46.6%, Germany 65.6%, France 52.3%, UK 70.1%, Argentina 62.3%, Brazil 59.7%, Mexico 58.2%. Capability of proposed factors to capture variability in BMI is significantly higher in UK (p=0.03) than in other countries, being significantly lower in an emerging country like India (p=0.042). These results may suggest that more intense research should be specifically targeted to capture risk factors which are specific for that given cultural setting in addition to the general ones. |
doi_str_mv | 10.1136/archdischild-2012-302724.1447 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1828856139</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4214733401</sourcerecordid><originalsourceid>FETCH-LOGICAL-b2247-c5db6721583628f3375da53696418fb79f79660605c97ebf3b71bb190a230f603</originalsourceid><addsrcrecordid>eNqVkNlKxDAUhoMoOC7vEBAvO2Zpk1TwYihuMG6gzmVI2nSasbYzSdze3pSKeOvVgcP3n-UD4BijKcaUnShXNpX1ZWPbKiEIk4Qiwkk6xWnKt8AEp0zEfppugwlCiCa5EGIX7Hm_QpEWgk7AZmDhwthlE2y3hKEx8EKVoXcezrzvS6uCqeCHDQ0shkXOdPBOG2_D1ymcdfC6C8Z1Kti-Uy28N86vTRnsu4GP_YdyFVQdfOpsbeOUm74y7QHYqVXrzeFP3QdPF-ePxVUyv7u8LmbzRBOS8qTMKs04wZmgjIiaUp5VKqMsZykWteZ5zXPGEENZmXOja6o51hrnSBGKaoboPjga565dv3kzPshV_xYvbb3EIj6fMUzzSJ2NVOl6752p5drZV-W-JEZysCz_WpaDZTlaloO5mE_GvPXBfP6GlXuRjMeb5e1zIR-u8kVxP6dyHnkx8vp19c9V31GVlIQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1828856139</pqid></control><display><type>article</type><title>1447 Weighting the Factors Associated with Children Obesity: An International Perspective Toward an Unified Model</title><source>BMJ Journals - NESLi2</source><creator>Gregori, D ; Baldi, I</creator><creatorcontrib>Gregori, D ; Baldi, I ; OBEY-AD Study Group</creatorcontrib><description>Beside genetic predisposition, several factors have been proposed to promote overweight and eventually obesity in children, from the socio- and built- environment down to behavioural attitudes (Bouchard, 2007). How this model is shared by different cultural settings is however unclear and less investigated. Using a unified protocol for data collection, a cross-sectional study has been performed on 960 children in India, Italy, Germany, France, UK, Argentina, Mexico and Brazil. Children CDC z-scores for BMI have been evaluated in association with several known factors influencing overweight and obesity (maternal and neonatal aspects, socio-economic familiar status, BMI of parents, physical activity, nutrition habits, screen activities). Based on a random-effect mixed effect model and the Kullback-Leibler Entropy Measure, the capability to explain variability in BMI of such factors has been computed. Percentages of explained variation are given as follows: India 41.4%, Italy 46.6%, Germany 65.6%, France 52.3%, UK 70.1%, Argentina 62.3%, Brazil 59.7%, Mexico 58.2%. Capability of proposed factors to capture variability in BMI is significantly higher in UK (p=0.03) than in other countries, being significantly lower in an emerging country like India (p=0.042). These results may suggest that more intense research should be specifically targeted to capture risk factors which are specific for that given cultural setting in addition to the general ones.</description><identifier>ISSN: 0003-9888</identifier><identifier>EISSN: 1468-2044</identifier><identifier>DOI: 10.1136/archdischild-2012-302724.1447</identifier><identifier>CODEN: ADCHAK</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health</publisher><subject>Data collection ; Obesity ; Risk factors ; Scientific Concepts</subject><ispartof>Archives of disease in childhood, 2012-10, Vol.97 (Suppl 2), p.A411-A411</ispartof><rights>2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><rights>Copyright: 2012 (c) 2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://adc.bmj.com/content/97/Suppl_2/A411.3.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://adc.bmj.com/content/97/Suppl_2/A411.3.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,776,780,3183,23550,27901,27902,77342,77373</link.rule.ids></links><search><creatorcontrib>Gregori, D</creatorcontrib><creatorcontrib>Baldi, I</creatorcontrib><creatorcontrib>OBEY-AD Study Group</creatorcontrib><title>1447 Weighting the Factors Associated with Children Obesity: An International Perspective Toward an Unified Model</title><title>Archives of disease in childhood</title><addtitle>Arch Dis Child</addtitle><description>Beside genetic predisposition, several factors have been proposed to promote overweight and eventually obesity in children, from the socio- and built- environment down to behavioural attitudes (Bouchard, 2007). How this model is shared by different cultural settings is however unclear and less investigated. Using a unified protocol for data collection, a cross-sectional study has been performed on 960 children in India, Italy, Germany, France, UK, Argentina, Mexico and Brazil. Children CDC z-scores for BMI have been evaluated in association with several known factors influencing overweight and obesity (maternal and neonatal aspects, socio-economic familiar status, BMI of parents, physical activity, nutrition habits, screen activities). Based on a random-effect mixed effect model and the Kullback-Leibler Entropy Measure, the capability to explain variability in BMI of such factors has been computed. Percentages of explained variation are given as follows: India 41.4%, Italy 46.6%, Germany 65.6%, France 52.3%, UK 70.1%, Argentina 62.3%, Brazil 59.7%, Mexico 58.2%. Capability of proposed factors to capture variability in BMI is significantly higher in UK (p=0.03) than in other countries, being significantly lower in an emerging country like India (p=0.042). These results may suggest that more intense research should be specifically targeted to capture risk factors which are specific for that given cultural setting in addition to the general ones.</description><subject>Data collection</subject><subject>Obesity</subject><subject>Risk factors</subject><subject>Scientific Concepts</subject><issn>0003-9888</issn><issn>1468-2044</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqVkNlKxDAUhoMoOC7vEBAvO2Zpk1TwYihuMG6gzmVI2nSasbYzSdze3pSKeOvVgcP3n-UD4BijKcaUnShXNpX1ZWPbKiEIk4Qiwkk6xWnKt8AEp0zEfppugwlCiCa5EGIX7Hm_QpEWgk7AZmDhwthlE2y3hKEx8EKVoXcezrzvS6uCqeCHDQ0shkXOdPBOG2_D1ymcdfC6C8Z1Kti-Uy28N86vTRnsu4GP_YdyFVQdfOpsbeOUm74y7QHYqVXrzeFP3QdPF-ePxVUyv7u8LmbzRBOS8qTMKs04wZmgjIiaUp5VKqMsZykWteZ5zXPGEENZmXOja6o51hrnSBGKaoboPjga565dv3kzPshV_xYvbb3EIj6fMUzzSJ2NVOl6752p5drZV-W-JEZysCz_WpaDZTlaloO5mE_GvPXBfP6GlXuRjMeb5e1zIR-u8kVxP6dyHnkx8vp19c9V31GVlIQ</recordid><startdate>201210</startdate><enddate>201210</enddate><creator>Gregori, D</creator><creator>Baldi, I</creator><general>BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health</general><general>BMJ Publishing Group LTD</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88B</scope><scope>88E</scope><scope>88I</scope><scope>8A4</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0P</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>201210</creationdate><title>1447 Weighting the Factors Associated with Children Obesity: An International Perspective Toward an Unified Model</title><author>Gregori, D ; Baldi, I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b2247-c5db6721583628f3375da53696418fb79f79660605c97ebf3b71bb190a230f603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Data collection</topic><topic>Obesity</topic><topic>Risk factors</topic><topic>Scientific Concepts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gregori, D</creatorcontrib><creatorcontrib>Baldi, I</creatorcontrib><creatorcontrib>OBEY-AD Study Group</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Education Periodicals</collection><collection>STEM Database</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Education Database</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Education</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 Basic</collection><jtitle>Archives of disease in childhood</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gregori, D</au><au>Baldi, I</au><aucorp>OBEY-AD Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>1447 Weighting the Factors Associated with Children Obesity: An International Perspective Toward an Unified Model</atitle><jtitle>Archives of disease in childhood</jtitle><addtitle>Arch Dis Child</addtitle><date>2012-10</date><risdate>2012</risdate><volume>97</volume><issue>Suppl 2</issue><spage>A411</spage><epage>A411</epage><pages>A411-A411</pages><issn>0003-9888</issn><eissn>1468-2044</eissn><coden>ADCHAK</coden><abstract>Beside genetic predisposition, several factors have been proposed to promote overweight and eventually obesity in children, from the socio- and built- environment down to behavioural attitudes (Bouchard, 2007). How this model is shared by different cultural settings is however unclear and less investigated. Using a unified protocol for data collection, a cross-sectional study has been performed on 960 children in India, Italy, Germany, France, UK, Argentina, Mexico and Brazil. Children CDC z-scores for BMI have been evaluated in association with several known factors influencing overweight and obesity (maternal and neonatal aspects, socio-economic familiar status, BMI of parents, physical activity, nutrition habits, screen activities). Based on a random-effect mixed effect model and the Kullback-Leibler Entropy Measure, the capability to explain variability in BMI of such factors has been computed. Percentages of explained variation are given as follows: India 41.4%, Italy 46.6%, Germany 65.6%, France 52.3%, UK 70.1%, Argentina 62.3%, Brazil 59.7%, Mexico 58.2%. Capability of proposed factors to capture variability in BMI is significantly higher in UK (p=0.03) than in other countries, being significantly lower in an emerging country like India (p=0.042). These results may suggest that more intense research should be specifically targeted to capture risk factors which are specific for that given cultural setting in addition to the general ones.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health</pub><doi>10.1136/archdischild-2012-302724.1447</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0003-9888 |
ispartof | Archives of disease in childhood, 2012-10, Vol.97 (Suppl 2), p.A411-A411 |
issn | 0003-9888 1468-2044 |
language | eng |
recordid | cdi_proquest_journals_1828856139 |
source | BMJ Journals - NESLi2 |
subjects | Data collection Obesity Risk factors Scientific Concepts |
title | 1447 Weighting the Factors Associated with Children Obesity: An International Perspective Toward an Unified Model |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T18%3A38%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=1447%20Weighting%20the%20Factors%20Associated%20with%20Children%20Obesity:%20An%20International%20Perspective%20Toward%20an%20Unified%20Model&rft.jtitle=Archives%20of%20disease%20in%20childhood&rft.au=Gregori,%20D&rft.aucorp=OBEY-AD%20Study%20Group&rft.date=2012-10&rft.volume=97&rft.issue=Suppl%202&rft.spage=A411&rft.epage=A411&rft.pages=A411-A411&rft.issn=0003-9888&rft.eissn=1468-2044&rft.coden=ADCHAK&rft_id=info:doi/10.1136/archdischild-2012-302724.1447&rft_dat=%3Cproquest_cross%3E4214733401%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1828856139&rft_id=info:pmid/&rfr_iscdi=true |