BMI 对基于加速度计的青少年能量消耗预测的影响。
Effect of BMI on prediction of accelerometry-based energy expenditure in youth.
机构信息
Division of Gastroenterology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232-2260, USA.
出版信息
Med Sci Sports Exerc. 2012 Dec;44(12):2428-35. doi: 10.1249/MSS.0b013e318267b8f1.
PURPOSE
The objective of this study is to determine the effect of body mass index (BMI) on level of agreement between six previously established prediction equations for three commonly used accelerometers to predict summary measures of energy expenditure (EE) in youth.
METHODS
One hundred and thirty-one youth between the ages of 10-17 yr and BMI from 15 to 44 kg·m were outfitted with hip-worn ActiGraph GT1M (Pensacola, FL), Actical (MiniMiter/Respironics, Bend, OR), and RT3 (StayHealthy, Monrovia, CA) accelerometers and spent approximately 24 h in a whole-room indirect calorimeter while performing structured and self-selected activities. Five commonly used regression and one propriety equations for each device were used to predict the minute-to-minute EE (normalized to METs), daily physical activity level (PAL), and time spent in sedentary, light, moderate, and vigorous physical activity intensity categories. The calculated values were compared with criterion measurements obtained from the room calorimeter.
RESULTS
All predictive equations, except RT3, significantly over- or underpredicted daily PAL (P < 0.001), with large discrepancies observed in the estimate of sedentary and light activity. Discrepancies between actual and estimated PAL ranged from 0.05 to 0.68. In addition, BMI represented a modifier for two ActiGraph predictive equations (AG1 and AG2), affecting the accuracy of physical activity-related EE predictions.
CONCLUSION
ActiGraph (AG3) and the RT3 closely predicted overall PAL (within 4.2% and 6.8%, respectively) as a group. When adjusting for age, sex, and ethnicity, Actical (AC1 and AC2) and ActiGraph (AG3) were not influenced by BMI. However, a gap between some hip-worn accelerometer predictive and regression equations was demonstrated compared with both criterion measurement and each other, which poses a potential difficulty for interstudy (e.g., different accelerometers) and intrastudy (e.g., BMI and adiposity) comparisons.
目的
本研究旨在确定体重指数（BMI）对先前建立的 6 种预测方程在预测青少年常用的 3 种加速度计的综合能量消耗（EE）水平方面的一致性的影响。
方法
131 名年龄在 10-17 岁之间、BMI 在 15-44 kg·m 之间的青少年佩戴 Hip-worn ActiGraph GT1M（彭萨科拉，FL）、Actical（MiniMiter/Respironics，Bend，OR）和 RT3（StayHealthy，Monrovia，CA）加速度计，并在整个房间间接热量计中进行了大约 24 小时的结构化和自我选择活动。使用五种常用的回归方程和每种设备的一种专用方程来预测每分钟 EE（归一化为 METs）、日常身体活动水平（PAL）以及久坐、轻度、中度和剧烈身体活动强度类别的时间。将计算值与从房间热量计获得的标准测量值进行比较。
结果
除 RT3 外，所有预测方程均显著高估或低估了日常 PAL（P < 0.001），且在久坐和轻度活动的估计中存在较大差异。实际和估计的 PAL 之间的差异范围为 0.05 至 0.68。此外，BMI 是两种 ActiGraph 预测方程（AG1 和 AG2）的修饰因子，影响与体力活动相关的 EE 预测的准确性。
结论
ActiGraph（AG3）和 RT3 作为一个整体，能够很好地预测总体 PAL（分别在 4.2%和 6.8%以内）。当调整年龄、性别和种族因素时，Actical（AC1 和 AC2）和 ActiGraph（AG3）不受 BMI 的影响。然而，与标准测量值和彼此相比，一些腰部佩戴的加速度计预测和回归方程之间存在差距，这给研究之间（例如，不同的加速度计）和研究内（例如，BMI 和肥胖）的比较带来了潜在的困难。
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