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Estimating energy expenditure from wrist and thigh accelerometry in free-living adults: a doubly labelled water study

机译:估算自由生活成年人手腕和大腿加速计的能量消耗:一项双标水研究

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Many large studies have implemented wrist or thigh accelerometry to capture physical activity, but the accuracy of these measurements to infer activity energy expenditure (AEE) and consequently total energy expenditure (TEE) has not been demonstrated. The purpose of this study was to assess the validity of acceleration intensity at wrist and thigh sites as estimates of AEE and TEE under free-living conditions using a gold-standard criterion. Measurements for 193 UK adults (105 men, 88 women, aged 40-66 years, BMI 20.4-36.6kgm2) were collected with triaxial accelerometers worn on the dominant wrist, non-dominant wrist and thigh in free-living conditions for 9-14 days. In a subsample (50 men, 50 women) TEE was simultaneously assessed with doubly labelled water (DLW). AEE was estimated from non-dominant wrist using an established estimation model, and novel models were derived for dominant wrist and thigh in the non-DLW subsample. Agreement with both AEE and TEE from DLW was evaluated by mean bias, root mean squared error (RMSE), and Pearson correlation. Mean TEE and AEE derived from DLW were 11.6 (2.3) MJday1 and 49.8 (16.3) kJday1kg1. Dominant and non-dominant wrist acceleration were highly correlated in free-living (r=0.93), but less so with thigh (r=0.73 and 0.66, respectively). Estimates of AEE were 48.6 (11.8) kJday1kg1 from dominant wrist, 48.6 (12.3) from non-dominant wrist, and 46.0 (10.1) from thigh; these agreed strongly with AEE (RMSE ~12.2kJday1kg1, r~0.71) with small mean biases at the population level (~6%). Only the thigh estimate was statistically significantly different from the criterion. When combining these AEE estimates with estimated REE, agreement was stronger with the criterion (RMSE ~1.0MJday1, r~0.90). In UK adults, acceleration measured at either wrist or thigh can be used to estimate population levels of AEE and TEE in free-living conditions with high precision.
机译:许多大型研究已经实施了腕部或大腿加速计来捕获体育活动,但是这些测量推断活动能量消耗(AEE)以及因此得出的总能量消耗(TEE)的准确性尚未得到证实。这项研究的目的是评估在手腕和大腿部位的加速强度作为自由生活条件下使用金标准的AEE和TEE估算值的有效性。使用三轴加速度计在自由活动条件下佩戴在主要手腕,非主要手腕和大腿上的9到14岁成年人中的193位英国成年人(105位男性,88位女性,年龄40-66岁,BMI 20.4-36.6kgm2)进行测量天。在一个子样本(50名男性,50名女性)中,同时用双标签水(DLW)评估了TEE。使用建立的估计模型从非主腕评估AEE,并在非DLW子样本中为主腕和大腿推导了新颖的模型。通过均值偏差,均方根误差(RMSE)和Pearson相关性来评估DLW与AEE和TEE的一致性。源自DLW的平均TEE和AEE为11.6(2.3)MJday1和49.8(16.3)kJday1kg1。自由活动中主要和非主要的手腕加速度高度相关(r = 0.93),而与大腿的相关性较小(r = 0.73和0.66)。优势腕部的AEE估计值为48.6(11.8)kJday1kg1,非优势腕部的AEE估计值为48.6(12.3),大腿部位为46.0(10.1)。这些与AEE(RMSE〜12.2kJday1kg1,r〜0.71)高度吻合,在人群水平上的平均偏差较小(〜6%)。在统计上,只有大腿的估计与标准有显着差异。当将这些AEE估计值与估计的REE相结合时,符合标准(RMSE〜1.0MJday1,r〜0.90)的一致性更强。在英国成年人中,手腕或大腿处测得的加速度可用于高精度估计自由生活条件下的AEE和TEE人群水平。

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