School of Kinesiology, University of Louisiana at Lafayette, USA.
School of Kinesiology, University of Louisiana at Lafayette, USA.
J Therm Biol. 2019 Oct;85:102399. doi: 10.1016/j.jtherbio.2019.102399. Epub 2019 Aug 17.
It is important to identify potential underlying factors that can affect the variability of resting metabolic rate (RMR) measurements. The RMRs of 20 college-aged men were tested twice in stable environmental conditions, with each measurement separated by 40 min. Skin temperature, core temperature, and inter-beat interval were monitored throughout the study as identified factors that could affect RMR measurements. Since environmental conditions in a clinic or laboratory can vary, skin temperature and core temperature can be affected which may affect RMR. Similarly, prior physical activity, stress, sleep, and caffeine intake can affect inter-beat interval and may be a co-variable affecting RMR. Higher RMR measurements were compared to lower RMR measurements. RMR for the higher trial was 2068 ± 66 kcal/day, the lower trial was 1975 ± 65 kcal/day (t = 4.23; p < 0.01). Core temperature for higher trial was 37.1 ± 0.1 °C, the lower trial was 36.8 ± 0.1 °C (s = 105.00; p < 0.01). Skin temperature measurements were significantly different for the anterior bicep site (t = -2.52; p = 0.02), but not for any other site. Inter-beat interval for the higher measurement was 1038 ± 33 ms, the lower measurement was 998 ± 32 ms (t = 3.82; p < 0.01). However, regression analysis found that none of the variables were significant predictors for the higher RMR, lower RMR, or change in RMR. While the factors affecting RMR measurement variability remain unclear, the results suggest that typical fluctuations in core temperature, skin temperature, and inter-beat interval do not effectively predict changes in RMR in a thermoneutral environment.
确定可能影响静息代谢率 (RMR) 测量值变异性的潜在因素很重要。在稳定的环境条件下，20 名大学生的 RMR 被测试了两次，每次测量间隔 40 分钟。在整个研究过程中监测皮肤温度、核心温度和心动间隔，这些都是可能影响 RMR 测量值的因素。由于诊所或实验室的环境条件可能会有所不同，皮肤温度和核心温度可能会受到影响，这可能会影响 RMR。同样，先前的体力活动、压力、睡眠和咖啡因摄入会影响心动间隔，可能是影响 RMR 的协变量。将较高的 RMR 测量值与较低的 RMR 测量值进行比较。较高试验的 RMR 为 2068±66kcal/天，较低试验的 RMR 为 1975±65kcal/天（t=4.23;p<0.01）。较高试验的核心温度为 37.1±0.1°C，较低试验的核心温度为 36.8±0.1°C（s=105.00;p<0.01）。肱二头肌前侧皮肤温度测量值差异显著（t=-2.52;p=0.02），但其他部位无差异。较高测量的心动间隔为 1038±33ms，较低测量的心动间隔为 998±32ms（t=3.82;p<0.01）。然而，回归分析发现，没有一个变量是较高 RMR、较低 RMR 或 RMR 变化的显著预测因子。虽然影响 RMR 测量值变异性的因素仍不清楚，但结果表明，在体温中性环境中，核心温度、皮肤温度和心动间隔的典型波动并不能有效预测 RMR 的变化。
