Estimation of newborn risk for child or adolescent obesity:lessons from longitudinal birth cohorts
OBJECTIVES: Prevention of obesity should start as early as possible after birth. We aimed to build clinically useful equations estimating the risk of later obesity in newborns, as a first step towards focused early prevention against the global obesity epidemic. METHODS: We analyzed the lifetime Nor...
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ftunivmassamh:oai:scholarworks.umass.edu:public_health_faculty_pubs-1036 2023-05-15T17:42:52+02:00 Estimation of newborn risk for child or adolescent obesity:lessons from longitudinal birth cohorts Morandi, Anita Meyre, David Lobbens, Stephane Kleinman, Ken Kaakinen, Marika Rifas-Shiman, Sheryl L Vatin, Vincent Gaget, Stefan Pouta, Anneli Hartikainen, Anna-Liisa Laitinen, Jaana Gillman, Matthew W Jarvelin, Marjo-Riitta Froguel, Philippe 2012-01-01T08:00:00Z application/pdf https://scholarworks.umass.edu/public_health_faculty_pubs/37 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1036&context=public_health_faculty_pubs unknown ScholarWorks@UMass Amherst https://scholarworks.umass.edu/public_health_faculty_pubs/37 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1036&context=public_health_faculty_pubs Public Health Department Faculty Publication Series newborns childhood obesity adolescent obesity Biostatistics Public Health text 2012 ftunivmassamh 2022-01-09T21:22:31Z OBJECTIVES: Prevention of obesity should start as early as possible after birth. We aimed to build clinically useful equations estimating the risk of later obesity in newborns, as a first step towards focused early prevention against the global obesity epidemic. METHODS: We analyzed the lifetime Northern Finland Birth Cohort 1986 (NFBC1986) (N = 4,032) to draw predictive equations for childhood and adolescent obesity from traditional risk factors (parental BMI, birth weight, maternal gestational weight gain, behaviour and social indicators), and a genetic score built from 39 BMI/obesity-associated polymorphisms. We performed validation analyses in a retrospective cohort of 1,503 Italian children and in a prospective cohort of 1,032 U.S. children. RESULTS: In the NFBC1986, the cumulative accuracy of traditional risk factors predicting childhood obesity, adolescent obesity, and childhood obesity persistent into adolescence was good: AUROC = 0·78[0·74-0.82], 0·75[0·71-0·79] and 0·85[0·80-0·90] respectively (all p<0·001). Adding the genetic score produced discrimination improvements ≤1%. The NFBC1986 equation for childhood obesity remained acceptably accurate when applied to the Italian and the U.S. cohort (AUROC = 0·70[0·63-0·77] and 0·73[0·67-0·80] respectively) and the two additional equations for childhood obesity newly drawn from the Italian and the U.S. datasets showed good accuracy in respective cohorts (AUROC = 0·74[0·69-0·79] and 0·79[0·73-0·84]) (all p<0·001). The three equations for childhood obesity were converted into simple Excel risk calculators for potential clinical use. CONCLUSION: This study provides the first example of handy tools for predicting childhood obesity in newborns by means of easily recorded information, while it shows that currently known genetic variants have very little usefulness for such prediction. Text Northern Finland University of Massachusetts: ScholarWorks@UMass Amherst |
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University of Massachusetts: ScholarWorks@UMass Amherst |
op_collection_id |
ftunivmassamh |
language |
unknown |
topic |
newborns childhood obesity adolescent obesity Biostatistics Public Health |
spellingShingle |
newborns childhood obesity adolescent obesity Biostatistics Public Health Morandi, Anita Meyre, David Lobbens, Stephane Kleinman, Ken Kaakinen, Marika Rifas-Shiman, Sheryl L Vatin, Vincent Gaget, Stefan Pouta, Anneli Hartikainen, Anna-Liisa Laitinen, Jaana Gillman, Matthew W Jarvelin, Marjo-Riitta Froguel, Philippe Estimation of newborn risk for child or adolescent obesity:lessons from longitudinal birth cohorts |
topic_facet |
newborns childhood obesity adolescent obesity Biostatistics Public Health |
description |
OBJECTIVES: Prevention of obesity should start as early as possible after birth. We aimed to build clinically useful equations estimating the risk of later obesity in newborns, as a first step towards focused early prevention against the global obesity epidemic. METHODS: We analyzed the lifetime Northern Finland Birth Cohort 1986 (NFBC1986) (N = 4,032) to draw predictive equations for childhood and adolescent obesity from traditional risk factors (parental BMI, birth weight, maternal gestational weight gain, behaviour and social indicators), and a genetic score built from 39 BMI/obesity-associated polymorphisms. We performed validation analyses in a retrospective cohort of 1,503 Italian children and in a prospective cohort of 1,032 U.S. children. RESULTS: In the NFBC1986, the cumulative accuracy of traditional risk factors predicting childhood obesity, adolescent obesity, and childhood obesity persistent into adolescence was good: AUROC = 0·78[0·74-0.82], 0·75[0·71-0·79] and 0·85[0·80-0·90] respectively (all p<0·001). Adding the genetic score produced discrimination improvements ≤1%. The NFBC1986 equation for childhood obesity remained acceptably accurate when applied to the Italian and the U.S. cohort (AUROC = 0·70[0·63-0·77] and 0·73[0·67-0·80] respectively) and the two additional equations for childhood obesity newly drawn from the Italian and the U.S. datasets showed good accuracy in respective cohorts (AUROC = 0·74[0·69-0·79] and 0·79[0·73-0·84]) (all p<0·001). The three equations for childhood obesity were converted into simple Excel risk calculators for potential clinical use. CONCLUSION: This study provides the first example of handy tools for predicting childhood obesity in newborns by means of easily recorded information, while it shows that currently known genetic variants have very little usefulness for such prediction. |
format |
Text |
author |
Morandi, Anita Meyre, David Lobbens, Stephane Kleinman, Ken Kaakinen, Marika Rifas-Shiman, Sheryl L Vatin, Vincent Gaget, Stefan Pouta, Anneli Hartikainen, Anna-Liisa Laitinen, Jaana Gillman, Matthew W Jarvelin, Marjo-Riitta Froguel, Philippe |
author_facet |
Morandi, Anita Meyre, David Lobbens, Stephane Kleinman, Ken Kaakinen, Marika Rifas-Shiman, Sheryl L Vatin, Vincent Gaget, Stefan Pouta, Anneli Hartikainen, Anna-Liisa Laitinen, Jaana Gillman, Matthew W Jarvelin, Marjo-Riitta Froguel, Philippe |
author_sort |
Morandi, Anita |
title |
Estimation of newborn risk for child or adolescent obesity:lessons from longitudinal birth cohorts |
title_short |
Estimation of newborn risk for child or adolescent obesity:lessons from longitudinal birth cohorts |
title_full |
Estimation of newborn risk for child or adolescent obesity:lessons from longitudinal birth cohorts |
title_fullStr |
Estimation of newborn risk for child or adolescent obesity:lessons from longitudinal birth cohorts |
title_full_unstemmed |
Estimation of newborn risk for child or adolescent obesity:lessons from longitudinal birth cohorts |
title_sort |
estimation of newborn risk for child or adolescent obesity:lessons from longitudinal birth cohorts |
publisher |
ScholarWorks@UMass Amherst |
publishDate |
2012 |
url |
https://scholarworks.umass.edu/public_health_faculty_pubs/37 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1036&context=public_health_faculty_pubs |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_source |
Public Health Department Faculty Publication Series |
op_relation |
https://scholarworks.umass.edu/public_health_faculty_pubs/37 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1036&context=public_health_faculty_pubs |
_version_ |
1766144788886716416 |