TY - JOUR
T1 - Evaluation of BMI Metrics to Assess Change in Adiposity in Children with Overweight and Moderate and Severe Obesity
AU - Barlow, Sarah E.
AU - Salahuddin, Meliha
AU - Durand, Casey
AU - Pont, Stephen J.
AU - Hoelscher, Deanna M.
AU - Butte, Nancy F.
N1 - Funding Information:
This research was supported by cooperative agreement RFA‐DP‐11‐007 from the CDC. Additional support was provided by the Michael and Susan Dell Foundation through the Michael & Susan Dell Center for Healthy Living and with federal funds from the US Department of Agriculture (USDA)/Agricultural Reserve Service under Cooperative Agreement No. 58‐6250‐0‐008. The content is solely the responsibility of the authors and does not necessarily reflect the views or policies of the CDC or USDA, nor does mention of trade names, commercial products, or organizations imply endorsement from the US government.
Publisher Copyright:
© 2020 The Obesity Society
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Objective: This study aimed to examine the relation between change in different BMI metrics and change in adiposity over a 12-month weight management intervention. Methods: Baseline and 12-month weights and heights from 399 children aged 2 to 12 years with BMI ≥ 85th percentile were used to calculate BMI, %BMIp95, %BMIp50, BMI z-score (BMIz), and modified BMI z-score (BMImz). Changes (Δ) in these measures were compared with changes in body fat percent (Δfat%) from bioelectrical impedance assessment. Correlation and regression models predicting associations between ΔBMI metrics and Δfat% were examined. Results: A total of 89% of the cohort was Hispanic, and 34% had class 2 or 3 obesity. In models predicting Δfat% adjusting for age, sex, and weight category, R2 for ΔBMI, ΔBMIz, BMImz, Δ%BMIp95, and Δ%BMIp50 were 0.53, 0.38, 0.45, 0.53, and 0.54, respectively (all P < 0.001). Only the ΔBMIz model had an interaction with weight status. Among the models with the highest R2, age group and sex interacted with the Δ%BMIp95 model but not ΔBMI or ΔBMIp50 models. Conclusions: Longitudinal analyses demonstrate the utility of several BMI metrics other than z-score in capturing adiposity change consistently across a range of obesity severity. Characteristics of studied groups and interpretability could influence metric choice.
AB - Objective: This study aimed to examine the relation between change in different BMI metrics and change in adiposity over a 12-month weight management intervention. Methods: Baseline and 12-month weights and heights from 399 children aged 2 to 12 years with BMI ≥ 85th percentile were used to calculate BMI, %BMIp95, %BMIp50, BMI z-score (BMIz), and modified BMI z-score (BMImz). Changes (Δ) in these measures were compared with changes in body fat percent (Δfat%) from bioelectrical impedance assessment. Correlation and regression models predicting associations between ΔBMI metrics and Δfat% were examined. Results: A total of 89% of the cohort was Hispanic, and 34% had class 2 or 3 obesity. In models predicting Δfat% adjusting for age, sex, and weight category, R2 for ΔBMI, ΔBMIz, BMImz, Δ%BMIp95, and Δ%BMIp50 were 0.53, 0.38, 0.45, 0.53, and 0.54, respectively (all P < 0.001). Only the ΔBMIz model had an interaction with weight status. Among the models with the highest R2, age group and sex interacted with the Δ%BMIp95 model but not ΔBMI or ΔBMIp50 models. Conclusions: Longitudinal analyses demonstrate the utility of several BMI metrics other than z-score in capturing adiposity change consistently across a range of obesity severity. Characteristics of studied groups and interpretability could influence metric choice.
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U2 - 10.1002/oby.22858
DO - 10.1002/oby.22858
M3 - Article
C2 - 32935936
AN - SCOPUS:85087573008
SN - 1930-7381
VL - 28
SP - 1512
EP - 1518
JO - Obesity
JF - Obesity
IS - 8
ER -