Predicting the risk of newborn children to become overweight later in childhood: The PIAMA birth cohort study
Abstract Objective. To develop a decision rule by which children with a high risk to develop overweight can be distinguished at birth from children at low risk. Design, setting and participants. Data of 1 687 Dutch children born in 1996/1997 who participated in the Prevention and Incidence of Asthma...
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Veröffentlicht in: | International journal of pediatric obesity 2011-06, Vol.6 (2Part2), p.e170-e178 |
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creator | Steur, Marinka Smit, Henriette A. Schipper, C. Maarten A. Scholtens, Salome Kerkhof, Marjan de Jongste, Johan C. Haveman-Nies, Annemien Brunekreef, Bert Wijga, Alet H. |
description | Abstract
Objective. To develop a decision rule by which children with a high risk to develop overweight can be distinguished at birth from children at low risk. Design, setting and participants. Data of 1 687 Dutch children born in 1996/1997 who participated in the Prevention and Incidence of Asthma and Mite Allergy (PIAMA) longitudinal birth cohort study were analysed. Perinatal candidate predictors of overweight at 8 years of age were selected and a prediction model was developed using stepwise model selection based on the Akaike Information Criterion (AIC). The prediction model was internally validated using resampling techniques. Outcome measure. Overweight at the age of 8 years. Results. A total of 13.9% (n = 253) of the children were overweight at 8 years of age. Independent positive predictors of overweight were paternal and maternal body mass index, female gender, smoking in the parental house, birth weight and hospital delivery. From the model, a decision rule was derived by which an overweight score could be calculated. Of the children with an overweight score below 89.45, only 2.7% were overweight at the age of 8, whereas in children with an overweight score above 105.02 the prevalence of overweight was 35.4%. Conclusion. The risk of overweight at the age of 8 years can be predicted with six characteristics that are available at birth. The decision rule developed in this study may help to target early preventive measures against overweight in high-risk children. |
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Objective. To develop a decision rule by which children with a high risk to develop overweight can be distinguished at birth from children at low risk. Design, setting and participants. Data of 1 687 Dutch children born in 1996/1997 who participated in the Prevention and Incidence of Asthma and Mite Allergy (PIAMA) longitudinal birth cohort study were analysed. Perinatal candidate predictors of overweight at 8 years of age were selected and a prediction model was developed using stepwise model selection based on the Akaike Information Criterion (AIC). The prediction model was internally validated using resampling techniques. Outcome measure. Overweight at the age of 8 years. Results. A total of 13.9% (n = 253) of the children were overweight at 8 years of age. Independent positive predictors of overweight were paternal and maternal body mass index, female gender, smoking in the parental house, birth weight and hospital delivery. From the model, a decision rule was derived by which an overweight score could be calculated. Of the children with an overweight score below 89.45, only 2.7% were overweight at the age of 8, whereas in children with an overweight score above 105.02 the prevalence of overweight was 35.4%. Conclusion. The risk of overweight at the age of 8 years can be predicted with six characteristics that are available at birth. The decision rule developed in this study may help to target early preventive measures against overweight in high-risk children.</description><identifier>ISSN: 1747-7166</identifier><identifier>EISSN: 1747-7174</identifier><identifier>DOI: 10.3109/17477166.2010.519389</identifier><identifier>PMID: 20883125</identifier><language>eng</language><publisher>Oxford, UK: Informa Healthcare</publisher><subject>Age Factors ; Aging ; Body Mass Index ; Chi-Square Distribution ; Child ; Childhood obesity ; Decision Support Techniques ; epidemiology ; Female ; Health Status Indicators ; Humans ; Infant, Newborn ; Longitudinal Studies ; Male ; Netherlands ; Overweight - diagnosis ; Overweight - epidemiology ; Overweight - physiopathology ; prediction ; prevention ; Risk Assessment ; Risk Factors ; Surveys and Questionnaires ; Weight Gain</subject><ispartof>International journal of pediatric obesity, 2011-06, Vol.6 (2Part2), p.e170-e178</ispartof><rights>2011 Informa Healthcare 2011</rights><rights>2011 Informa UK Ltd All rights reserved: reproduction in whole or part not permitted</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5159-28cd17d495c49de5c7e3b2996f141b8cc801dcdffbdca6fec411ebbe728ecacd3</citedby><cites>FETCH-LOGICAL-c5159-28cd17d495c49de5c7e3b2996f141b8cc801dcdffbdca6fec411ebbe728ecacd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.3109%2F17477166.2010.519389$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.3109%2F17477166.2010.519389$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20883125$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Steur, Marinka</creatorcontrib><creatorcontrib>Smit, Henriette A.</creatorcontrib><creatorcontrib>Schipper, C. Maarten A.</creatorcontrib><creatorcontrib>Scholtens, Salome</creatorcontrib><creatorcontrib>Kerkhof, Marjan</creatorcontrib><creatorcontrib>de Jongste, Johan C.</creatorcontrib><creatorcontrib>Haveman-Nies, Annemien</creatorcontrib><creatorcontrib>Brunekreef, Bert</creatorcontrib><creatorcontrib>Wijga, Alet H.</creatorcontrib><title>Predicting the risk of newborn children to become overweight later in childhood: The PIAMA birth cohort study</title><title>International journal of pediatric obesity</title><addtitle>Int J Pediatr Obes</addtitle><description>Abstract
Objective. To develop a decision rule by which children with a high risk to develop overweight can be distinguished at birth from children at low risk. Design, setting and participants. Data of 1 687 Dutch children born in 1996/1997 who participated in the Prevention and Incidence of Asthma and Mite Allergy (PIAMA) longitudinal birth cohort study were analysed. Perinatal candidate predictors of overweight at 8 years of age were selected and a prediction model was developed using stepwise model selection based on the Akaike Information Criterion (AIC). The prediction model was internally validated using resampling techniques. Outcome measure. Overweight at the age of 8 years. Results. A total of 13.9% (n = 253) of the children were overweight at 8 years of age. Independent positive predictors of overweight were paternal and maternal body mass index, female gender, smoking in the parental house, birth weight and hospital delivery. From the model, a decision rule was derived by which an overweight score could be calculated. Of the children with an overweight score below 89.45, only 2.7% were overweight at the age of 8, whereas in children with an overweight score above 105.02 the prevalence of overweight was 35.4%. Conclusion. The risk of overweight at the age of 8 years can be predicted with six characteristics that are available at birth. The decision rule developed in this study may help to target early preventive measures against overweight in high-risk children.</description><subject>Age Factors</subject><subject>Aging</subject><subject>Body Mass Index</subject><subject>Chi-Square Distribution</subject><subject>Child</subject><subject>Childhood obesity</subject><subject>Decision Support Techniques</subject><subject>epidemiology</subject><subject>Female</subject><subject>Health Status Indicators</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Netherlands</subject><subject>Overweight - diagnosis</subject><subject>Overweight - epidemiology</subject><subject>Overweight - physiopathology</subject><subject>prediction</subject><subject>prevention</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Surveys and Questionnaires</subject><subject>Weight Gain</subject><issn>1747-7166</issn><issn>1747-7174</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkM1u1DAURi0EoqXwBgh5xyqtnTixwwJpWqCdqtBBKkJiY_nnpnGbxMV2mM7bk1Gms0RsbOvqfN-VD0JvKTkuKKlPKGec06o6zsk0KmldiPoZOtyOMz6dz_fvqjpAr2K8I4RVORMv0UFOhChoXh6ifhXAOpPccItTCzi4eI99gwdYax8GbFrX2QADTh5rML4H7P9AWIO7bRPuVIKA3Q5rvbcf8M3Uslouvi6wdiG12PjWh4RjGu3mNXrRqC7Cm919hH58-XxzdpFdXZ8vzxZXmSlpWWe5MJZyy-rSsNpCaTgUOq_rqqGMamGMINQa2zTaGlU1YBiloDXwXIBRxhZH6P3c-xD87xFikr2LBrpODeDHKAVnTOS8pBPJZtIEH2OARj4E16uwkZTIrWf55FluPcvZ8xR7t1sw6h7sPvQkdgLqGVi7Djb_VSqXl6vrgmzLsznrYoLHfVaFe1nxgpfy57dzeXFKPn2__EVlNfEfd_zQ-NCrFlSXWqMCyDs_hmEy_e_f_AWm_a2Z</recordid><startdate>201106</startdate><enddate>201106</enddate><creator>Steur, Marinka</creator><creator>Smit, Henriette A.</creator><creator>Schipper, C. Maarten A.</creator><creator>Scholtens, Salome</creator><creator>Kerkhof, Marjan</creator><creator>de Jongste, Johan C.</creator><creator>Haveman-Nies, Annemien</creator><creator>Brunekreef, Bert</creator><creator>Wijga, Alet H.</creator><general>Informa Healthcare</general><general>Blackwell Publishing Ltd</general><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>7X8</scope></search><sort><creationdate>201106</creationdate><title>Predicting the risk of newborn children to become overweight later in childhood: The PIAMA birth cohort study</title><author>Steur, Marinka ; Smit, Henriette A. ; Schipper, C. Maarten A. ; Scholtens, Salome ; Kerkhof, Marjan ; de Jongste, Johan C. ; Haveman-Nies, Annemien ; Brunekreef, Bert ; Wijga, Alet H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5159-28cd17d495c49de5c7e3b2996f141b8cc801dcdffbdca6fec411ebbe728ecacd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Age Factors</topic><topic>Aging</topic><topic>Body Mass Index</topic><topic>Chi-Square Distribution</topic><topic>Child</topic><topic>Childhood obesity</topic><topic>Decision Support Techniques</topic><topic>epidemiology</topic><topic>Female</topic><topic>Health Status Indicators</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Netherlands</topic><topic>Overweight - diagnosis</topic><topic>Overweight - epidemiology</topic><topic>Overweight - physiopathology</topic><topic>prediction</topic><topic>prevention</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Surveys and Questionnaires</topic><topic>Weight Gain</topic><toplevel>online_resources</toplevel><creatorcontrib>Steur, Marinka</creatorcontrib><creatorcontrib>Smit, Henriette A.</creatorcontrib><creatorcontrib>Schipper, C. Maarten A.</creatorcontrib><creatorcontrib>Scholtens, Salome</creatorcontrib><creatorcontrib>Kerkhof, Marjan</creatorcontrib><creatorcontrib>de Jongste, Johan C.</creatorcontrib><creatorcontrib>Haveman-Nies, Annemien</creatorcontrib><creatorcontrib>Brunekreef, Bert</creatorcontrib><creatorcontrib>Wijga, Alet H.</creatorcontrib><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>MEDLINE - Academic</collection><jtitle>International journal of pediatric obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Steur, Marinka</au><au>Smit, Henriette A.</au><au>Schipper, C. Maarten A.</au><au>Scholtens, Salome</au><au>Kerkhof, Marjan</au><au>de Jongste, Johan C.</au><au>Haveman-Nies, Annemien</au><au>Brunekreef, Bert</au><au>Wijga, Alet H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting the risk of newborn children to become overweight later in childhood: The PIAMA birth cohort study</atitle><jtitle>International journal of pediatric obesity</jtitle><addtitle>Int J Pediatr Obes</addtitle><date>2011-06</date><risdate>2011</risdate><volume>6</volume><issue>2Part2</issue><spage>e170</spage><epage>e178</epage><pages>e170-e178</pages><issn>1747-7166</issn><eissn>1747-7174</eissn><abstract>Abstract
Objective. To develop a decision rule by which children with a high risk to develop overweight can be distinguished at birth from children at low risk. Design, setting and participants. Data of 1 687 Dutch children born in 1996/1997 who participated in the Prevention and Incidence of Asthma and Mite Allergy (PIAMA) longitudinal birth cohort study were analysed. Perinatal candidate predictors of overweight at 8 years of age were selected and a prediction model was developed using stepwise model selection based on the Akaike Information Criterion (AIC). The prediction model was internally validated using resampling techniques. Outcome measure. Overweight at the age of 8 years. Results. A total of 13.9% (n = 253) of the children were overweight at 8 years of age. Independent positive predictors of overweight were paternal and maternal body mass index, female gender, smoking in the parental house, birth weight and hospital delivery. From the model, a decision rule was derived by which an overweight score could be calculated. Of the children with an overweight score below 89.45, only 2.7% were overweight at the age of 8, whereas in children with an overweight score above 105.02 the prevalence of overweight was 35.4%. Conclusion. The risk of overweight at the age of 8 years can be predicted with six characteristics that are available at birth. The decision rule developed in this study may help to target early preventive measures against overweight in high-risk children.</abstract><cop>Oxford, UK</cop><pub>Informa Healthcare</pub><pmid>20883125</pmid><doi>10.3109/17477166.2010.519389</doi><tpages>9</tpages></addata></record> |
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subjects | Age Factors Aging Body Mass Index Chi-Square Distribution Child Childhood obesity Decision Support Techniques epidemiology Female Health Status Indicators Humans Infant, Newborn Longitudinal Studies Male Netherlands Overweight - diagnosis Overweight - epidemiology Overweight - physiopathology prediction prevention Risk Assessment Risk Factors Surveys and Questionnaires Weight Gain |
title | Predicting the risk of newborn children to become overweight later in childhood: The PIAMA birth cohort study |
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