Background. Rates of body mass index (BMI) calculation and plotting remain low. We examined whether providing a BMI wheel and brief education to pediatric residents and attendings would increase rates of “BMI recognition” and obesity-related counseling. Methods. A delayed-control design was used to evaluate a 20-minute intervention. A total of 1640 records of well-child visits were reviewed to determine the proportion of records in which BMI was calculated and plotted and counseling provided. Results. In clinic A, there was a significant increase in the proportion of records in which BMI was recognized from pre- to postintervention ( P < .01). No changes in clinic B occurred until after the delayed intervention. Obesity-related counseling was more likely to occur if BMI was recognized. Conclusion. Brief education and BMI wheel increased rates of BMI recognition. BMI recognition was associated with increased obesity management. Additional efforts should be incorporated to further increase BMI recognition and assist providers in treating these children.

Severe obesity defined as an age- and gender-specific body mass index ≥120% of the 95th percentile in children younger than 5 years is well recognized as a significant challenge for prevention and treatment. This article provides an overview of the prevalence, classification of obesity severity, patterns of weight gain trajectory, medical and genetic risk factors, and comorbid disorders among young children with an emphasis on severe obesity. Studies suggest rapid weight gain trajectory in infancy, maternal smoking, maternal gestational diabetes, and genetic conditions are associated with an increased risk for severe obesity in early childhood. Among populations of young children with severe obesity seeking care, co-morbid conditions such as dyslipidemia and fatty liver disease are present and families report behavioral concerns and developmental delays. Children with severe obesity by age 5 represent a vulnerable population of children at high medical risk and need to be identified early and appropriately managed.

Prior studies show seven percent to nine percent of children demonstrate gaming behaviors that affect a child's ability to function (e.g., problem gaming), but none have examined the association between problem gaming and weight status. The objective of this study was to determine the prevalence of problem gaming among children enrolled in tertiary weight management programs. We administered a computer-based survey to a convenience sample of children aged 11-17 years enrolled in five geographically diverse pediatric weight management (PWM) programs in the COMPASS (Childhood Obesity Multi-Program Analysis and Study System) network. The survey included demographics, gaming characteristics, and a problem gaming assessment. The survey had 454 respondents representing a diverse cohort (53 percent females, 27 percent black, 24 percent Hispanic, 41 percent white) with mean age of 13.7 years. A total of 8.2 percent of respondents met criteria for problem gaming. Problem gamers were more likely to be white, male, play mature-rated games, and report daily play. Children in PWM programs reported problem gaming at the same rate as other pediatric populations. Screening for problem gaming provides an opportunity for pediatricians to address gaming behaviors that may affect the health of children with obesity who already are at risk for worsened health and quality of life.