{"id":28053,"date":"2015-02-01T00:00:00","date_gmt":"2018-12-03T22:01:34","guid":{"rendered":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/"},"modified":"2018-12-03T23:01:34","modified_gmt":"2018-12-03T22:01:34","slug":"identifying-risk-profiles-for-childhood-obesity-using-recursive","status":"publish","type":"resume","link":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/","title":{"rendered":"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors."},"content":{"rendered":"

BACKGROUND<\/strong>
\nFew studies consider how risk factors within multiple levels of influence operate synergistically to determine childhood obesity. We used recursive partitioning analysis to identify unique combinations of individual, familial, and neighborhood factors that best predict obesity in children, and tested whether these predict 2-year changes in body mass index (BMI).<\/p>\n

METHODS<\/strong>
\nData were collected in 2005-2008 and in 2008-2011 for 512 Quebec youth (8-10 years at baseline) with a history of parental obesity (QUALITY study). CDC age- and sex-specific BMI percentiles were computed and children were considered obese if their BMI was â?¥95(th) percentile. Individual (physical activity and sugar-sweetened beverage intake), familial (household socioeconomic status and measures of parental obesity including both BMI and waist circumference), and neighborhood (disadvantage, prestige, and presence of parks, convenience stores, and fast food restaurants) factors were examined. Recursive partitioning, a method that generates a classification tree predicting obesity based on combined exposure to a series of variables, was used. Associations between resulting varying risk group membership and BMI percentile at baseline and 2-year follow up were examined using linear regression.<\/p>\n

RESULTS<\/strong>
\nRecursive partitioning yielded 7 subgroups with a prevalence of obesity equal to 8%, 11%, 26%, 28%, 41%, 60%, and 63%, respectively. The 2 highest risk subgroups comprised i) children not meeting physical activity guidelines, with at least one BMI-defined obese parent and 2 abdominally obese parents, living in disadvantaged neighborhoods without parks and, ii) children with these characteristics, except with access to â?¥1 park and with access to â?¥1 convenience store. Group membership was strongly associated with BMI at baseline, but did not systematically predict change in BMI.<\/p>\n

CONCLUSION<\/strong>
\nFindings support the notion that obesity is predicted by multiple factors in different settings and provide some indications of potentially obesogenic environments. Alternate group definitions as well as longer duration of follow up should be investigated to predict change in obesity.<\/p>\n","protected":false},"template":"","mots_cles":[],"class_list":["post-28053","resume","type-resume","status-publish","hentry"],"acf":{"adresse":"D\u00e9partement de m\u00e9decine sociale et pr\u00e9ventive, \u00c9cole de sant\u00e9 publique de l'Universit\u00e9 de Montr\u00e9al, Montreal, Quebec, Canada, tracie.barnett@iaf.inrs.ca","annee":"2015","mois":"2","numero":"12:1","page":"175","auteurs":[{"ID":28049,"post_author":"0","post_date":"2018-12-03 23:01:31","post_date_gmt":"2018-12-03 22:01:31","post_content":"","post_title":"M\u00e9lanie Henderson","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"melanie-henderson","to_ping":"","pinged":"","post_modified":"2018-12-03 23:01:31","post_modified_gmt":"2018-12-03 22:01:31","post_content_filtered":"","post_parent":0,"guid":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/auteur\/melanie-henderson\/","menu_order":0,"post_type":"auteur_resume","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":28050,"post_author":"0","post_date":"2018-12-03 23:01:32","post_date_gmt":"2018-12-03 22:01:32","post_content":"","post_title":"Lise Gauvin","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"lise-gauvin","to_ping":"","pinged":"","post_modified":"2018-12-03 23:01:32","post_modified_gmt":"2018-12-03 22:01:32","post_content_filtered":"","post_parent":0,"guid":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/auteur\/lise-gauvin\/","menu_order":0,"post_type":"auteur_resume","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":28051,"post_author":"0","post_date":"2018-12-03 23:01:33","post_date_gmt":"2018-12-03 22:01:33","post_content":"","post_title":"Andraea Van Hulst","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"andraea-van-hulst","to_ping":"","pinged":"","post_modified":"2018-12-03 23:01:33","post_modified_gmt":"2018-12-03 22:01:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/auteur\/andraea-van-hulst\/","menu_order":0,"post_type":"auteur_resume","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":24954,"post_author":"0","post_date":"2018-12-03 22:07:36","post_date_gmt":"2018-12-03 21:07:36","post_content":"","post_title":"Marie-H\u00e9l\u00e8ne Roy-Gagnon","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"marie-helene-roy-gagnon","to_ping":"","pinged":"","post_modified":"2018-12-03 22:07:36","post_modified_gmt":"2018-12-03 21:07:36","post_content_filtered":"","post_parent":0,"guid":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/auteur\/marie-helene-roy-gagnon\/","menu_order":0,"post_type":"auteur_resume","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2554,"post_author":"0","post_date":"2018-12-03 16:56:47","post_date_gmt":"2018-12-03 15:56:47","post_content":"","post_title":"Yan Kestens","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"yan-kestens","to_ping":"","pinged":"","post_modified":"2018-12-03 16:56:47","post_modified_gmt":"2018-12-03 15:56:47","post_content_filtered":"","post_parent":0,"guid":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/auteur\/yan-kestens\/","menu_order":0,"post_type":"auteur_resume","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":28052,"post_author":"0","post_date":"2018-12-03 23:01:33","post_date_gmt":"2018-12-03 22:01:33","post_content":"","post_title":"Tracie A Barnett","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"tracie-a-barnett","to_ping":"","pinged":"","post_modified":"2018-12-03 23:01:33","post_modified_gmt":"2018-12-03 22:01:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/auteur\/tracie-a-barnett\/","menu_order":0,"post_type":"auteur_resume","post_mime_type":"","comment_count":"0","filter":"raw"}],"sources":[{"ID":1611,"post_author":"0","post_date":"2018-12-03 16:00:56","post_date_gmt":"2018-12-03 15:00:56","post_content":"","post_title":"Int J Behav Nutr Phys Act.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"int-j-behav-nutr-phys-act","to_ping":"","pinged":"","post_modified":"2018-12-03 16:00:56","post_modified_gmt":"2018-12-03 15:00:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/source\/int-j-behav-nutr-phys-act\/","menu_order":0,"post_type":"source","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\nIdentifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors. - Aprifel<\/title>\n<meta name=\"description\" content=\"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors. - Aprifel\" \/>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors.\" \/>\n<meta property=\"og:description\" content=\"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/\" \/>\n<meta property=\"og:site_name\" content=\"Aprifel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/\",\"url\":\"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/\",\"name\":\"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors. - Aprifel\",\"isPartOf\":{\"@id\":\"https:\/\/www.aprifel.com\/fr\/#website\"},\"datePublished\":\"2018-12-03T22:01:34+00:00\",\"dateModified\":\"2018-12-03T22:01:34+00:00\",\"description\":\"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors. - Aprifel\",\"breadcrumb\":{\"@id\":\"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\/\/www.aprifel.com\/fr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"R\u00e9sum\u00e9s\",\"item\":\"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors.\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.aprifel.com\/fr\/#website\",\"url\":\"https:\/\/www.aprifel.com\/fr\/\",\"name\":\"Aprifel\",\"description\":\"Agence pour la Recherche et l\u2019Information en Fruits et L\u00e9gumes\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.aprifel.com\/fr\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors. - Aprifel","description":"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors. - Aprifel","robots":{"index":"noindex","follow":"follow"},"og_locale":"fr_FR","og_type":"article","og_title":"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors.","og_description":"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors.","og_url":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/","og_site_name":"Aprifel","twitter_card":"summary_large_image","twitter_misc":{"Dur\u00e9e de lecture estim\u00e9e":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/","url":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/","name":"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors. - Aprifel","isPartOf":{"@id":"https:\/\/www.aprifel.com\/fr\/#website"},"datePublished":"2018-12-03T22:01:34+00:00","dateModified":"2018-12-03T22:01:34+00:00","description":"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors. - Aprifel","breadcrumb":{"@id":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/identifying-risk-profiles-for-childhood-obesity-using-recursive\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Accueil","item":"https:\/\/www.aprifel.com\/fr\/"},{"@type":"ListItem","position":2,"name":"R\u00e9sum\u00e9s","item":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/"},{"@type":"ListItem","position":3,"name":"Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors."}]},{"@type":"WebSite","@id":"https:\/\/www.aprifel.com\/fr\/#website","url":"https:\/\/www.aprifel.com\/fr\/","name":"Aprifel","description":"Agence pour la Recherche et l\u2019Information en Fruits et L\u00e9gumes","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.aprifel.com\/fr\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"}]}},"_links":{"self":[{"href":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/wp-json\/wp\/v2\/resume\/28053"}],"collection":[{"href":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/wp-json\/wp\/v2\/resume"}],"about":[{"href":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/wp-json\/wp\/v2\/types\/resume"}],"wp:attachment":[{"href":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/wp-json\/wp\/v2\/media?parent=28053"}],"wp:term":[{"taxonomy":"mots_cles","embeddable":true,"href":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/wp-json\/wp\/v2\/mots_cles?post=28053"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}