Department of Exercise and Rehabilitative Sciences, Slippery Rock University, Slippery Rock, PA, USA.
J Phys Act Health. 2012 Aug;9(6):757-64. doi: 10.1123/jpah.9.6.757. Epub 2011 Sep 13.
Pedometers are most accurate at measuring steps, less accurate at estimating distance, and even less accurate at estimating kilocalorie expenditure. The purpose of this investigation was to create a Physical Activity Index (PAI) using pedometer step counts and rating of perceived exertion (RPE) to enhance the ability to estimate kilocalorie expenditure during walking exercise.
Thirty-two females performed 3 counterbalanced walking bouts. During each bout, oxygen consumption, RPE, and step counts were measured. The PAI was calculated as the product of RPE and step count for each of the bouts.
Concurrent validation of the PAI was established using VO2 as the criterion variable. A multiple regression analysis revealed a strong, positive relation between PAI score and VO2 (r=.91). Data were then used to develop a statistical model to estimate kcal expenditure using the PAI score as the predictor variable.
The PAI was found to be an accurate method of estimating kcal expenditure and is a simple, unobtrusive and inexpensive tool which may be used in public health settings.
计步器在测量步数方面最为准确，在估计距离方面准确性较低，在估计千卡消耗方面的准确性甚至更低。本研究的目的是创建一个使用计步器计数和感知用力程度（RPE）的体力活动指数（PAI），以提高在步行运动中估计千卡消耗的能力。
32 名女性进行了 3 次平衡步行试验。在每次试验中，测量了耗氧量、RPE 和步数。PAI 是通过计算每个试验中 RPE 和步数的乘积而得出的。
使用 VO2 作为标准变量，对 PAI 的同时验证得以确立。多元回归分析显示，PAI 得分与 VO2 之间存在强烈的正相关关系（r=.91）。然后，使用数据开发了一个统计模型，使用 PAI 得分作为预测变量来估计千卡消耗。
PAI 被发现是一种准确估计千卡消耗的方法，是一种简单、不引人注目的、廉价的工具，可用于公共卫生环境。
