ArticleEnvironmental health and preventive medicine2023
A point system to predict the future risk of obesity in 10-year-old children.
Article in Environmental health and preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- CAKUT calculator: a clinical risk prediction tool for in-hospital mortality in neonates with congenital anomalies of the kidney and urinary tract admitted to level IV NICUs.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Development of a Deep Learning Model for Predicting Obesity Using Health Behavior Data of Elementary School Students.Iranian journal of public health · 2025Article
- Risk factors and prediction for pediatric obesity: current status and future perspectives.Endocrine journal · 2025Review
- Is oxidative stress - antioxidants imbalance the physiopathogenic core in pediatric obesity?Frontiers in immunology · 2024Review
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA 4-year longitudinal study was conducted to develop a model and a point system for predicting childhood obesity.
methodsThis study included 1,504 Japanese 10-year-old children who underwent health check-ups between 2011 and 2015. Multivariable logistic regression analysis was conducted using the explanatory variables overweight and lifestyle. Obesity was defined as percentage overweight (POW) ≥ 20% calculated by the following equation: (actual weight - standard weight by height and sex)/standard weight by height and sex × 100 (%). The model was validated using the Hosmer-Lemeshow test on 10-year-olds.
resultsOur prediction model for development of childhood obesity was based on seven binary variables: sex, lack of sleep, ≥2-h use of television/ games/ smartphone, hypertension, dyslipidemia, hepatic dysfunction, and being overweight. The area under the curve of the receiver operating characteristic curve was 0.803 (95% confidence interval, 0.740 to 0.866). When validated in non-obese children (n = 415), there was no significant difference between actual and predicted numbers of children with obesity (Hosmer-Lemeshow chi-square = 7.90, p = 0.18).
conclusionsThe validated prediction model and point score for obesity development were shown to be useful tools for predicting the future 4-year risk of developing obesity among 10 years-old children. The point system may be useful for reducing the occurrence of childhood obesity and promoting better health.
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