Mänttäri Ari, Suni Jaana, Sievänen Harri, Husu Pauliina, Vähä-Ypyä Henri, Valkeinen Heli, Tokola Kari, Vasankari Tommi
The UKK Institute for Health Promotion Research, Tampere, Finland.
National Institute for Health and Welfare, Finland - THL, Helsinki, Finland.
Clin Physiol Funct Imaging. 2018 May 31. doi: 10.1111/cpf.12525.
The 6-min walk test (6MWT) is cost-effective and well-documented field test for assessing functional exercise capacity and response to medical interventions in diverse patient groups, and predicting cardiorespiratory fitness among healthy people.
Assessments of cardiorespiratory fitness in terms of maximal aerobic power (VO max) have great potential in public health monitoring to predict future health, early retirement and ability to independent living. This study aimed to develop a prediction model for VO max based on 6MWT results among healthy adults.
The study comprised of pilot and validation studies. In validation study, seventy-five 19- to 75-year-old adults (39 men, 36 women) were equipped with portable gas analyser and heart rate monitor. Participants performed 6MWT on a 15-m indoor track and maximal graded exercise test (GXT) on a treadmill. We evaluated performance of the developed prediction model among 1583 Finnish adults.
Participant's mean walking distance was 652 m (SD ± 74). Their mean VO max in GXT and O uptake at the end of the 6MWT were 34·4 ml kg min (SD ± 7·6) and 27·2 ml kg min (SD ± 6·5), respectively. For men, the best predictors for VO max were walking distance, age, BMI, heart rate at the end of 6MWT and height, and for women, walking distance, age and weight. The predictors explained 82% and 79% of men's and women's measured VO max with the standard error of estimate of 3·6 ml kg min and 3·5 ml kg min , respectively.
The 6MWT performed along a 15-m track is a valid field test for predicting VO max of healthy adults with accuracy of about 1MET.
6分钟步行试验（6MWT）是一种经济高效且记录完备的现场试验，用于评估不同患者群体的功能运动能力以及对医学干预的反应，并预测健康人群的心肺适能。
以最大摄氧量（VO₂max）来评估心肺适能在公共卫生监测中对于预测未来健康状况、提前退休以及独立生活能力具有巨大潜力。本研究旨在基于健康成年人的6MWT结果开发一个VO₂max预测模型。
该研究包括预试验和验证研究。在验证研究中，75名年龄在19至75岁的成年人（39名男性，36名女性）配备了便携式气体分析仪和心率监测器。参与者在15米的室内跑道上进行6MWT，并在跑步机上进行最大分级运动试验（GXT）。我们在1583名芬兰成年人中评估了所开发预测模型的性能。
参与者的平均步行距离为652米（标准差±74）。他们在GXT中的平均VO₂max以及6MWT结束时的摄氧量分别为34.4毫升/千克/分钟（标准差±7.6）和27.2毫升/千克/分钟（标准差±6.5）。对于男性，VO₂max的最佳预测指标是步行距离、年龄、体重指数、6MWT结束时的心率和身高；对于女性，最佳预测指标是步行距离、年龄和体重。这些预测指标分别解释了男性和女性测量的VO₂max的82%和79%，估计标准误差分别为3.6毫升/千克/分钟和3.5毫升/千克/分钟。
在15米跑道上进行的6MWT是一种有效的现场试验，能够以约1梅脱的准确度预测健康成年人的VO₂max。
