Abstract:The prevalence of childhood obesity in China has recently become increasingly severe, and intervention measures are needed to stop its growth. Currently, there is a lack of assessment and prediction methods for childhood obesity. We develop a predictive model that uses currently measured predictors [gender, age, urban/rural, height and body mass index (BMI)] to quantify children’s probabilities of belonging to one of four BMI category 5 years later and identify the high-risk group for possible intervention. A … Show more
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