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评估 BMI 指标以评估超重和中重度肥胖儿童体脂变化。

Evaluation of BMI Metrics to Assess Change in Adiposity in Children with Overweight and Moderate and Severe Obesity.

机构信息

Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Children's Health, Dallas, Texas, USA.

出版信息

Obesity (Silver Spring). 2020 Aug;28(8):1512-1518. doi: 10.1002/oby.22858. Epub 2020 Jul 6.

Abstract

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, %BMI, %BMI, 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, R for ΔBMI, ΔBMIz, BMImz, Δ%BMI, and Δ%BMI 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 R, age group and sex interacted with the Δ%BMI model but not ΔBMI or ΔBMI 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.

摘要

目的

本研究旨在探讨在为期 12 个月的体重管理干预中,不同 BMI 指标的变化与体脂变化之间的关系。

方法

使用 399 名年龄在 2 至 12 岁、BMI≥第 85 百分位数的儿童的基线和 12 个月体重及身高,计算 BMI、%BMI、%BMI、BMIz 评分和改良 BMIz 评分。将这些指标的变化(Δ)与生物电阻抗评估得出的体脂百分比变化(Δfat%)进行比较。检验了预测 BMI 指标变化与 fat%变化之间关联的相关和回归模型。

结果

该队列中 89%为西班牙裔,34%为 2 类或 3 类肥胖。在调整年龄、性别和体重类别后预测Δfat%的模型中,ΔBMI、ΔBMIz、BMImz、Δ%BMI 和 Δ%BMI 的 R 值分别为 0.53、0.38、0.45、0.53 和 0.54(均 P<0.001)。仅 BMIz 模型的变化与体重状况存在交互作用。在 R 值最高的模型中,年龄组和性别与Δ%BMI 模型存在交互作用,但与ΔBMI 或ΔBMI 模型不存在交互作用。

结论

纵向分析表明,除 z 评分外,其他几种 BMI 指标在捕捉肥胖严重程度不同的体脂变化方面具有一致性。研究人群的特点和可解释性可能会影响指标的选择。

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