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目的:通过跑台走跑测试对GT3X+的信效度进行探索,特别关注坡度和慢走对信效度的影响,验证VM3C能耗方程是否适于我国人群。方法:采用K4b2便携式气体代谢分析仪和Acti Gra Ph GT3X+同步监测20~30岁成年受试者(男25名,女26名),依次完成3.0 km/h(慢走)、4.5 km/h(正常速度行走)、4.5 km/h加10%坡度(正常速度坡度走)、6.0 km/h(快走)和7.5 km/h(跑步)跑台走跑运动,以间接测热法的能耗值为校标值,验证VM3C能耗方程的效度。另从中随机选取20名受试者(男女各10名)进行重复测试,验证其信度。结果:不同速度下VM3C预测的能耗值与间接测热法均相关,除了3.0 km/h慢走,其他均达到了中度相关(r=0.54~0.68);与间接法相比,能耗预测值明显低估,其中3.0 km/h和4.5 km/h 10%坡度下低估现象最明显,其误差水平分别达到了52%和67%。重复测试结果显示,两次能耗预测值之间无明显差异;除了3.0 km/h的ICC很小(0.199)之外,其他速度下ICC范围在0.75~0.90之间。结论:VM3C方程预测的能耗值明显低估,特别是在慢走或者有坡度的情况下低估现象较严重,效度较低。在一定的范围内,随着走跑速度的增加,VM3C方程预测能耗的效度愈来愈高且趋于稳定。除了慢走,总体来说GT3X+能耗预测的信度较高。
OBJECTIVE: To explore the reliability and validity of GT3X + by running treadmill test, with special attention to the influence of slope and walking on the reliability and validity, and to verify whether VM3C energy consumption equation is suitable for our country’s population. METHODS: Adult subjects aged 20-30 years (25 males and 26 females) were simultaneously monitored using the K4b2 Portable Gas Metabolic Analyzer and Acti Gra Ph GT3X +, with 3.0 km / h (walking) and 4.5 km / h Normal walking speed), 4.5 km / h plus 10% gradient (normal speed gradient), 6.0 km / h (fast walking) and 7.5 km / h (running) For the calibration value, validate the validity of the VM3C energy equation. Another randomly selected from 20 subjects (10 men and women each) repeated tests to verify the reliability. Results: The energy consumption predicted by VM3C at different speeds was correlated with indirect calorimetry. Except for 3.0 km / h walking, the energy consumption of VM3C was moderately correlated (r = 0.54-0.68). Compared with the indirect method, The values were obviously underestimated. The most obvious under-estimation was 3.0 km / h and 4.5 km / h on the 10% slope, with error levels of 52% and 67% respectively. Repeated test results showed no significant difference between the two predicted energy values; ICC ranged from 0.75 to 0.90 at all other speeds except 3.0 km / h for ICC (0.199). Conclusion: The energy consumption predicted by VM3C equation is significantly underestimated, especially under slow walking or sloping conditions, the underestimation phenomenon is more serious and the validity is lower. Within a certain range, with the increase of running speed, the validity of VM3C equation to predict energy consumption is getting higher and stable. In addition to walking slowly, GT3X + generally has a high level of confidence in energy consumption forecast.