Supporting the callout for people first language in obesity. Response to "The need for people-first language in our Obesity journal". Motivating or stigmatizing? Public perceptions of weight-related language used by health providers. Growth Tracking in Severely Obese or Underweight Children. Chambers M, Tanamas SK, Clark EJ, Dunnigan DL, Kapadia CR, Hanson RL, et al. As other journals have joined the call to reduce weight bias and stigma by using people first language in obesity5, we truly hope that the Pediatrics will take this step as Pediatrics has the power to change weight bias and stigma in all pediatric journals worldwide.ġ. It will tell you if a child is underweight, at an ideal weight, at risk of being overweight, or is now overweight. This calculator gives an approximate BMI for children from ages 5 to 18. This is why BMI for children, also known as BMI-for-age, includes gender and age. We encourage Pediatrics, the premier journal focused on pediatric care, the area of medicine which sets the tone for stigma throughout the life course, to ensure stricter requirements for people-first language usage by authors in order to combat stigma and improve health outcomes for patients affected by obesity. Also, girls and boys differ in their amount of body fat as they mature. Eric Ravussin and Donna Ryan’s response to a call for people-first language demonstrates how Obesity journal editors recognized that they were perpetuating weight bias by not ensuring that the language of their manuscripts was people first with regards to obesity.4 Despite the growing use of people-first language in many other areas of disease, its proper use for obesity has lagged behind. Weight-bias has been shown to negatively affect how patients view their own condition, and it plays a significant role in patient’s willingness to seek appropriate healthcare services.3 Indeed, Drs. “person with obesity,” instead of “obese patient”).2 For the examples in the article, we would consider changing the language to “children with severe obesity”, “adolescents with severe obesity”, and “groups without obesity” and “groups with obesity”. However, in both their title and throughout their manuscript, the authors fail to employ people-first language by consistently using the phrase “severely obese children”, “severely obese adolescents, “nonobese groups”, and “obese groups.” People-first language aims to eliminate weight bias and avoid reducing patient identity to their condition by acknowledging the person first followed by their condition (i.e. These percentiles express a child’s BMI relative to US children who participated in national surveys from 1963-65 to 1988-94 4. They did an excellent job of using real life scenarios to depict how the modified z-scores could be applied to real life scenarios in pediatric patients with severe underweight and obesity. After BMI is calculated for children and teens, it is expressed as a percentile obtained from either a graph for boys PDF-62.4KB and girls PDF-67.9KB or a percentile calculator. In their article, Growth Tracking in Severely Obese and Underweight Children 1, Chambers and colleagues examined the utility of a new modified CDC BMI z score chart to monitor growth in children with normal and extreme BMI percentiles.
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