ArticleChildhood obesity (Print)2016
Validation, Optimal Threshold Determination, and Clinical Utility of the Infant Risk of Overweight Checklist for Early Prevention of Child Overweight.
Article in Childhood obesity (Print), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Addressing obesity in the first 1000 days in high risk infants: Systematic review.Maternal & child nutrition · 2021Pooled 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
- Improving cardiometabolic and mental health in women with gestational diabetes mellitus and their offspring: study protocol forBMJ open · 2018Trial
- Risk factors and prediction for pediatric obesity: current status and future perspectives.Endocrine journal · 2025Review
- Validation of Variables for Use in Pediatric Obesity Risk Score Development in Demographically and Racially Diverse United States Cohorts.The Journal of pediatrics · 2024Article
- An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation.Proceedings of machine learning research · 2024Article
- Reliable prediction of childhood obesity using only routinely collected EHRs may be possible.Obesity pillars · 2024Article
- Obesity Prediction with EHR Data: A deep learning approach with interpretable elements.ACM transactions on computing for healthcare · 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
- Evaluating routine pediatric growth measurement as a screening tool for overweight and obese status.Canadian family physician Medecin de famille canadien · 2021Article
- Article
- Review
- Proactive Assessment of Obesity Risk during Infancy (ProAsk): a qualitative study of parents' and professionals' perspectives on an mHealth intervention.BMC public health · 2019Article
- Predicting childhood obesity using electronic health records and publicly available data.PloS one · 2019Article
- Response to 'Clinical relevance and validity of obesity risk prediction tools' by Redsell et al.Public health nutrition · 2018Article
- Clinical relevance and validity of obesity risk prediction tools.Public health nutrition · 2018Article
- Digital technology to facilitate Proactive Assessment of Obesity Risk during Infancy (ProAsk): a feasibility study.BMJ open · 2017Article
- "I would rather be told than not know" - A qualitative study exploring parental views on identifying the future risk of childhood overweight and obesity during infancy.BMC public health · 2017Article
- Childhood Obesity Risk and Prevention: Shining a Lens on the First 1000 Days.Childhood obesity (Print) · 2016Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundPrevious research has demonstrated the predictive validity of the Infant Risk of Overweight Checklist (IROC). This study further establishes the predictive accuracy of the IROC using data from the Avon Longitudinal Study of Parents and Children (ALSPAC) and examines the optimal threshold for determining high risk of childhood overweight.
methodsUsing the IROC algorithm, we calculated the risk of being overweight, based on International Obesity Task Force criteria, in the first year of life for 980 children in the ALSPAC cohort at 5 years. Discrimination was assessed by the area under the receiver operating curve (AUC c-statistic). Net reclassification index (NRI) was calculated for risk thresholds ranging from 2.5% to 30%, which determine cutoffs for identifying infants at risk of becoming overweight.
resultsAt 5 years of age, 12.3% of boys and 19.6% of girls were categorized overweight. Discrimination (AUC c-statistic) ranged from 0.67 (95% confidence interval [CI], 0.62-0.72) when risk scores were calculated directly to 0.93 (95% CI, 0.88-0.98) when the algorithm was recalibrated and missing values of the risk factor algorithm were imputed. The NRI showed that there were positive gains in reclassification using risk thresholds from 5% to 20%, with the maximum NRI being at 10%.
conclusionsThis study confirms that the IROC has moderately good validity for assessing overweight risk in infants and offers an optimal threshold for determining high risk. The IROC algorithm has been imbedded into a computer program for Proactive Assessment of Obesity Risk during Infancy, which facilitates early overweight prevention through communication of risk to parents.
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