ArticlePloS one2012
Estimation of newborn risk for child or adolescent obesity: lessons from longitudinal birth cohorts.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03333733 (Cluster Randomised Controlled Feasibility Study of HENRY; a Community Based Intervention Aimed at Reducing School Entry Obesity Rates), which is not on this map. Cited by 58 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Cluster Randomised Controlled Feasibility Study of HENRY; a Community Based Intervention Aimed at Reducing School Entry Obesity Rates
Who cites it
58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 119 citations in OpenAlex.
- Clinical relevance and validity of tools to predict infant, childhood and adulthood obesity: a systematic review.Public health nutrition · 2018Pooled it
- Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2018Pooled it
- 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 · 2024Trial
- Prenatal education of overweight or obese pregnant women to prevent childhood overweight (the ETOIG study): an open-label, randomized controlled trial.International journal of obesity (2005) · 2019Trial
- Trial
- Birthweight and cardiometabolic risk factors in offspring: A systematic review and meta-analysis of cohort studies.Archives of public health = Archives belges de sante publique · 2026Article
- Routine Life-Course Health Records in Infancy Predict Being Overweight in Childhood and Adolescence: The TMM BirThree Cohort Study.Children (Basel, Switzerland) · 2026Article
- First 1000 Days Strategies to Prevent Childhood Obesity: A Narrative Review and Recommendations From the EndObesity Consortium.Pediatric obesity · 2026Review
- Risk factors and prediction for pediatric obesity: current status and future perspectives.Endocrine journal · 2025Review
- Predicting obesity at adolescence from an early age in a Dutch observational cohort study: the development and internal validation of a multivariable prediction model.BMC pediatrics · 2025Observational
- Validation of Variables for Use in Pediatric Obesity Risk Score Development in Demographically and Racially Diverse United States Cohorts.The Journal of pediatrics · 2024Article
- Prediction of adolescent weight status by machine learning: a population-based study.BMC public health · 2024Article
- Childhood obesity from the genes to the epigenome.Frontiers in endocrinology · 2024Review
- Hyperglycemia in Pregnancy and Women's Health in the 21st Century.International journal of environmental research and public health · 2022Review
- Obesity Prediction with EHR Data: A deep learning approach with interpretable elements.ACM transactions on computing for healthcare · 2022Article
- Assessment of pregnancy dietary intake and association with maternal and neonatal outcomes.Pediatric research · 2022Article
- Prevalence of Childhood Obesity by Country, Family Socio-Demographics, and Parental Obesity in Europe: The Feel4Diabetes Study.Nutrients · 2022Article
- Childhood overweight and obesity at the start of primary school: External validation of pregnancy and early-life prediction models.PLOS global public health · 2022Article
- European Childhood Obesity Risk Evaluation (CORE) index based on perinatal factors and maternal sociodemographic characteristics: the Feel4Diabetes-study.European journal of pediatrics · 2021Article
- Leading by Example: Association Between Mother and Child Objectively Measured Physical Activity and Sedentary Behavior.Pediatric exercise science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 9 institutions in 6 countries.
Funding
Abstract
objectivesPrevention 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.
methodsWe 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.
resultsIn 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.
conclusionThis 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.