SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2018
Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review.
Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Pooled 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
- Predicting childhood overweight and obesity at school entrance using healthcare, demographic, and socioeconomic data in Wales, UK.European journal of public health · 2026Article
- Routine Life-Course Health Records in Infancy Predict Being Overweight in Childhood and Adolescence: The TMM BirThree Cohort Study.Children (Basel, Switzerland) · 2026Article
- Support and concerns: Dutch health care professionals' views on the use of a childhood obesity prediction toolbox.BMC pediatrics · 2026Article
- First 1000 Days Strategies to Prevent Childhood Obesity: A Narrative Review and Recommendations From the EndObesity Consortium.Pediatric obesity · 2026Review
- Neighborhood Environmental and Contextual Factors Improve Prediction of Childhood Body Mass Index: An Application of Novel Graph Neural Networks.AJE advances : research in epidemiology · 2025Article
- 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
- Application and Analysis of Random Forest and Support Vector Classification in Risk Prediction of Childhood Obesity and Hyperuricemia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- FACILITY: feeding the family-the intergenerational approach to fight obesity, a cross-sectional study protocol.Frontiers in pediatrics · 2025Article
- Reliable prediction of childhood obesity using only routinely collected EHRs may be possible.Obesity pillars · 2024Article
- An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation.Proceedings of machine learning research · 2024Article
- Consumer Health Informatics to Advance Precision Prevention.Yearbook of medical informatics · 2024Review
- Association of child weight with attendance at a healthy lifestyle service among women with obesity during pregnancy.Maternal & child nutrition · 2024Article
- Modelling individual infancy growth trajectories to predict excessive gain in BMI z-score: a comparison of growth measures in the ABCD and GECKO Drenthe cohorts.BMC public health · 2023Article
- Prevention of childhood overweight and obesity in Mongolia, the Philippines and Vietnam: identifying priority actions.Health promotion international · 2023Article
- Prediction of childhood overweight and obesity at age 10-11: findings from the Studying Lifecourse Obesity PrEdictors and the Born in Bradford cohorts.International journal of obesity (2005) · 2023Article
- Article
- Mixed methods feasibility and usability testing of a childhood obesity risk estimation tool.BMC public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundChildhood obesity is a serious public health challenge, and identification of high-risk populations with early intervention to prevent its development is a priority. We aimed to systematically review prediction models for childhood overweight/obesity and critically assess the methodology of their development, validation and reporting.
methodsMedline and Embase were searched systematically for studies describing the development and/or validation of a prediction model/score for overweight and obesity between 1 to 13 years of age. Data were extracted using the Cochrane CHARMS checklist for Prognosis Methods.
resultsTen studies were identified that developed (one), developed and validated (seven) or externally validated an existing (two) prediction model. Six out of eight models were developed using automated variable selection methods. Two studies used multiple imputation to handle missing data. From all studies, 30,475 participants were included. Of 25 predictors, only seven were included in more than one model with maternal body mass index, birthweight and gender the most common.
conclusionSeveral prediction models exist, but most have not been externally validated or compared with existing models to improve predictive performance. Methodological limitations in model development and validation combined with non-standard reporting restrict the implementation of existing models for the prevention of childhood obesity.
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.