Estimation of newborn risk for child or adolescent obesity: lessons from longitudinal birth cohorts.
<h4>Objectives</h4>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.<h4>Methods&l...
Guardado en:
| Autores principales: | , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Public Library of Science (PLoS)
2012
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/22a0c8ef78744a27a22e4b7f40b8d0b3 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:22a0c8ef78744a27a22e4b7f40b8d0b3 |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:22a0c8ef78744a27a22e4b7f40b8d0b32021-11-18T08:07:17ZEstimation of newborn risk for child or adolescent obesity: lessons from longitudinal birth cohorts.1932-620310.1371/journal.pone.0049919https://doaj.org/article/22a0c8ef78744a27a22e4b7f40b8d0b32012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23209618/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objectives</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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.Anita MorandiDavid MeyreStéphane LobbensKen KleinmanMarika KaakinenSheryl L Rifas-ShimanVincent VatinStefan GagetAnneli PoutaAnna-Liisa HartikainenJaana LaitinenAimo RuokonenShikta DasAnokhi Ali KhanPaul ElliottClaudio MaffeisMatthew W GillmanMarjo-Riitta JärvelinPhilippe FroguelPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 11, p e49919 (2012) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Anita Morandi David Meyre Stéphane Lobbens Ken Kleinman Marika Kaakinen Sheryl L Rifas-Shiman Vincent Vatin Stefan Gaget Anneli Pouta Anna-Liisa Hartikainen Jaana Laitinen Aimo Ruokonen Shikta Das Anokhi Ali Khan Paul Elliott Claudio Maffeis Matthew W Gillman Marjo-Riitta Järvelin Philippe Froguel Estimation of newborn risk for child or adolescent obesity: lessons from longitudinal birth cohorts. |
| description |
<h4>Objectives</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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 |
article |
| author |
Anita Morandi David Meyre Stéphane Lobbens Ken Kleinman Marika Kaakinen Sheryl L Rifas-Shiman Vincent Vatin Stefan Gaget Anneli Pouta Anna-Liisa Hartikainen Jaana Laitinen Aimo Ruokonen Shikta Das Anokhi Ali Khan Paul Elliott Claudio Maffeis Matthew W Gillman Marjo-Riitta Järvelin Philippe Froguel |
| author_facet |
Anita Morandi David Meyre Stéphane Lobbens Ken Kleinman Marika Kaakinen Sheryl L Rifas-Shiman Vincent Vatin Stefan Gaget Anneli Pouta Anna-Liisa Hartikainen Jaana Laitinen Aimo Ruokonen Shikta Das Anokhi Ali Khan Paul Elliott Claudio Maffeis Matthew W Gillman Marjo-Riitta Järvelin Philippe Froguel |
| author_sort |
Anita Morandi |
| 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 |
Public Library of Science (PLoS) |
| publishDate |
2012 |
| url |
https://doaj.org/article/22a0c8ef78744a27a22e4b7f40b8d0b3 |
| work_keys_str_mv |
AT anitamorandi estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT davidmeyre estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT stephanelobbens estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT kenkleinman estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT marikakaakinen estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT sheryllrifasshiman estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT vincentvatin estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT stefangaget estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT annelipouta estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT annaliisahartikainen estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT jaanalaitinen estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT aimoruokonen estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT shiktadas estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT anokhialikhan estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT paulelliott estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT claudiomaffeis estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT matthewwgillman estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT marjoriittajarvelin estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts AT philippefroguel estimationofnewbornriskforchildoradolescentobesitylessonsfromlongitudinalbirthcohorts |
| _version_ |
1718422157033209856 |