Estimation of Newborn Risk for Child or Adolescent Obesity: Lessons from Longitudinal Birth Cohorts-Reference-Cited by-同舟云学术

Estimation of Newborn Risk for Child or Adolescent Obesity: Lessons from Longitudinal Birth Cohorts

Published:2012-11-28 Issue:11 Volume:7 Page:e49919
ISSN:1932-6203
Container-title:PLoS ONE
language:en
Short-container-title:PLoS ONE

Author:

Morandi Anita,Meyre David,Lobbens Stéphane,Kleinman Ken,Kaakinen Marika,Rifas-Shiman Sheryl L.,Vatin Vincent,Gaget Stefan,Pouta Anneli,Hartikainen Anna-Liisa,Laitinen Jaana,Ruokonen Aimo,Das Shikta,Khan Anokhi Ali,Elliott Paul,Maffeis Claudio,Gillman Matthew W.,Järvelin Marjo-Riitta,Froguel Philippe

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference41 articles.

1. Waters E, de Silva-Sanigorski A, Hall BJ, Brown T, Campbell KJ, et al.. (2011) Interventions for preventing obesity in children. Cochrane Database of Systematic Reviews 12: DOI: 10.1002/14651858.

2. Body size and growth in 0- to 4-year-old children and the relation to body size in primary school age;T Stocks;Obes Rev,2011

3. Prediction of childhood obesity by infancy weight gain: an individual-level meta-analysis;C Druet;Paediatr Perinat Epidemiol,2012

4. Let’s move – Childhood Obesity Prevention from Pregnancy and Infancy Onward;JM Wojcicki;N Eng J Med,2010

5. Interventions for preventing obesity in children;CD Summerbell;Cochrane Database Syst Rev,2011

Cited by 105 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Validation of Variables for Use in Pediatric Obesity Risk Score Development in Demographically and Racially Diverse United States Cohorts;The Journal of Pediatrics;2024-12

2. A randomized controlled trial to test the efficacy of a brief Triple P discussion group to increase healthy feeding practices and reduce risk factors for infant obesity;Journal of Pediatric Psychology;2024-09-09

3. Childhood obesity from the genes to the epigenome;Frontiers in Endocrinology;2024-07-09

4. Prediction of adolescent weight status by machine learning: a population-based study;BMC Public Health;2024-05-20

5. Assessing Screening Methods and Machine Learning for Predicting Childhood Overweight and Obesity: A Population-Based Study;2024-04-11