Childhood obesity.

By R. Strauss. The Pediatric clinics of North America, 2002

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Applications of Machine Learning in Cancer Prediction and Prognosis (2006, background): “Family history, age, diet, weight (obesity), high-risk habits (smoking, heavy drinking), and exposure to environmental carcinogens (UV radiation, radon, asbestos, PCBs) all play a role in predicting an individual’s risk for developing cancer (Leenhouts 1999; Bach et al. 2003; Gascon et al. 2004; Cla”
Increasing fruit and vegetable intake and decreasing fat and sugar intake in families at risk for childhood obesity. (2001, methodology): “Traffic Light Diet foods are categorized into the colors of the stoplight: red, yellow, or green based on their calorie and nutrient content.”
Recommendations for Treatment of Child and Adolescent Overweight and Obesity (2007, methodology): “168–170 Finally, the American Academy of Pediatrics140 recommends that (1) all children meet the goal of 60 minutes of moderate activity per day; (2) schools be provided with the necessary resources to incorporate 30 minutes of moderate to intense activity into each student’s daily schedule; (3) cli”
Pediatric Obesity-Assessment, Treatment, and Prevention: An Endocrine Society Clinical Practice Guideline. (2017, neutral): “Thus, clinicians should not test for endocrine causes of obesity unless the patient is short relative to genetic potential and has decreased growth velocity against the backdrop of continued weight gain (26, 32).”