Prediction of resting energy expenditure for adolescents with severe obesity: A multi-centre analysis

IF 2.7 3区医学 Q1 PEDIATRICS Pediatric Obesity Pub Date : 2024-04-24 DOI:10.1111/ijpo.13123

Amy A. Rydin, Cameron Severn, Laura Pyle, Nazeen Morelli, Ashley H. Shoemaker, Stephanie T. Chung, Jack A. Yanovski, Joan C. Han, Janine A. Higgins, Kristen J. Nadeau, Claudia Fox, Aaron S. Kelly, Melanie G. Cree

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Abstract

Background and Objectives

Resting energy expenditure (REE) assessments can help inform clinical treatment decisions in adolescents with elevated body mass index (BMI), but current equations are suboptimal for severe obesity. We developed a predictive REE equation for youth with severe obesity and obesity-related comorbidities and compared results to previously published predictive equations.

Methods

Data from indirect calorimetry, clinical measures, and body composition per Dual x-ray absorptiometry (DXA) were collected from five sites. Data were randomly divided into development (N = 438) and validation (N = 118) cohorts. A predictive equation was developed using Elastic Net regression, using sex, race, ethnicity, weight, height, BMI percent of the 95th%ile (BMIp95), waist circumference, hip circumference, waist/hip ratio, age, Tanner stage, fat and fat-free mass. This equation was verified in the validation cohort and compared with 11 prior equations.

Results

Data from the total cohort (n = 556, age 15 ± 1.7 years, 77% female, BMIp95 3.3 ± 0.94) were utilized. The best fit equation was REE = −2048 + 18.17 × (Height in cm) – 2.57 × (Weight in kg) + 7.88 × (BMIp95) + 189 × (1 = male, 0 = female), R² = 0.466, and mean bias of 23 kcal/day.

Conclusion

This new equation provides an updated REE prediction that accounts for severe obesity and metabolic complications frequently observed in contemporary youth.

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预测重度肥胖青少年的静息能量消耗：多中心分析。

背景和目的esting 能量消耗（REE）评估有助于为体质指数（BMI）升高的青少年的临床治疗决策提供依据，但目前的公式对于重度肥胖并不理想。我们为患有严重肥胖症和肥胖相关合并症的青少年开发了一种预测性能量消耗方程，并将结果与之前公布的预测性方程进行了比较。方法从五个地点收集了间接热量计、临床测量和双 X 射线吸收测量（DXA）的身体成分数据。数据被随机分为开发组（N = 438）和验证组（N = 118）。通过使用性别、种族、民族、体重、身高、体重指数第 95%ile 百分位数（BMIp95）、腰围、臀围、腰/臀比、年龄、坦纳阶段、脂肪和去脂质量，使用弹性网回归法建立了一个预测方程。该方程在验证队列中得到了验证，并与之前的 11 个方程进行了比较。结果使用了全部队列（n = 556，年龄为 15 ± 1.7 岁，77% 为女性，BMIp95 为 3.3 ± 0.94）的数据。最佳拟合方程为：REE = -2048 + 18.17 ×（身高，厘米）- 2.57 ×（体重，千克）+ 7.88 ×（BMIp95）+ 189 ×（1 = 男性，0 = 女性），R2 = 0.466，平均偏差为 23 千卡/天。结论：这一新方程提供了最新的 REE 预测，考虑到了当代青少年中经常出现的严重肥胖和代谢并发症。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Pediatric Obesity PEDIATRICS-

CiteScore

7.30

自引率

5.30%

发文量

117

审稿时长

6-12 weeks

期刊介绍： Pediatric Obesity is a peer-reviewed, monthly journal devoted to research into obesity during childhood and adolescence. The topic is currently at the centre of intense interest in the scientific community, and is of increasing concern to health policy-makers and the public at large. Pediatric Obesity has established itself as the leading journal for high quality papers in this field, including, but not limited to, the following: Genetic, molecular, biochemical and physiological aspects of obesity – basic, applied and clinical studies relating to mechanisms of the development of obesity throughout the life course and the consequent effects of obesity on health outcomes Metabolic consequences of child and adolescent obesity Epidemiological and population-based studies of child and adolescent overweight and obesity Measurement and diagnostic issues in assessing child and adolescent adiposity, physical activity and nutrition Clinical management of children and adolescents with obesity including studies of treatment and prevention Co-morbidities linked to child and adolescent obesity – mechanisms, assessment, and treatment Life-cycle factors eg familial, intrauterine and developmental aspects of child and adolescent obesity Nutrition security and the "double burden" of obesity and malnutrition Health promotion strategies around the issues of obesity, nutrition and physical activity in children and adolescents Community and public health measures to prevent overweight and obesity in children and adolescents.