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Validation of the physical activity index (PAI) as a measure of total activity load and total kilocalorie expenditure during submaximal treadmill walking

机译:验证身体活动指数(PAI),作为在次最大跑步机行走过程中总活动负荷和总卡路里消耗的量度

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摘要

PURPOSE: The primary purposes of this investigation were to examine the validity of the Physical Activity Index (PAI) as, (a) a measure of total activity load (intensity of exercise x volume of exercise) and (b) as an estimate of total kilocalorie (kcal) expenditure during submaximal treadmill walking. A secondary purpose was to compare estimated kcal expenditure determined by the PAI prediction model to the estimated kcal expenditure determined by the SenseWear Pro Armband™. METHODS: Thirty-two recreationally active females (20.36 ± 1.27 years) participated in this study. Subjects participated in three counterbalanced submaximal walking bouts: low intensity (4.02 km⋅hr⁻¹, 0% grade), moderate intensity (5.63 km⋅hr⁻¹, 2.5% grade), and high intensity (7.24 km⋅hr⁻¹, 5% grade). Each bout was separated by five min of rest. During each of the three exercise bouts, oxygen consumption (VO₂), rating of perceived exertion (RPE), pedometer step count, and kcal expenditure were measured. The PAI was calculated as the product of RPE and pedometer step count for each of the three, 10 minute bouts of treadmill walking. RESULTS: Concurrent validation of the PAI was established using VO₂ and heart rate (HR) as the criterion variables. Multiple regression analyses revealed a strong, positive relation between PAI score and VO₂ (r = 0.92) and HR (r = 0.84). Data were then used to develop a statistical model to estimate kcal expenditure using the PAI score as the predictor variable. Walking kcal expenditure predicted by Model III was highly correlated with measured kcal expenditure (r = 0.85). Similarly, kcal expenditure estimated by the SenseWear Pro Armband™ evidenced a strong, positive correlation with measured kcal expenditure (r = 0.83) when calculated across the three walking intensities. CONCLUSION: The development of a PAI using RPE and pedometer step count to estimate kcal expenditure may have significant public health implications. The PAI was found to be more accurate then the Armband method of estimating kcal expenditure and is a simple, unobtrusive and inexpensive tool which may be used to assess kcal expenditure in public health, clinical, and/or rehabilitation settings.
机译:目的:本研究的主要目的是检查身体活动指数(PAI)的有效性,(a)测量总活动负荷(运动强度x运动量),(b)作为总运动量的估计次最大跑步机行走期间的千卡路里(kcal)支出。第二个目的是将PAI预测模型确定的估计大卡支出与SenseWear Pro Armband™确定的估计大卡支出进行比较。方法:32名娱乐活跃女性(20.36±1.27岁)参加了这项研究。受试者参加了三项平衡的次最大步行运动:低强度(4.02km⋅hr⁻¹,0%等级),中等强度(5.63km⋅hr⁻¹,2.5%等级)和高强度(7.24km⋅hr⁻¹, 5%级)。每回合休息五分钟。在这三个运动周期中的每一个期间,测量氧消耗(VO 2),感觉运动量(RPE),计步器步数和大卡消耗。对于跑步机行走的三个10分钟周期中的每一个,RAI和计步器步数的乘积计算得出PAI。结果:以VO 2和心率(HR)为标准变量建立了PAI的同时验证。多元回归分析显示,PAI评分与VO 2(r = 0.92)和HR(r = 0.84)之间有很强的正相关关系。然后将数据用于建立统计模型,以PAI得分作为预测变量来估计大卡支出。模型III预测的步行大卡支出与测量的大卡支出高度相关(r = 0.85)。同样,在三个步行强度下计算时,由SenseWear Pro Armband™估算的大卡支出与所测得的大卡支出(r = 0.83)呈强正相关。结论:使用RPE和计步器步数估算大卡支出的PAI可能会对公共卫生产生重大影响。发现PAI比估算大卡支出的Armband方法更为准确,并且是一种简单,不引人注目且便宜的工具,可用于评估公共卫生,临床和/或康复环境中的大卡支出。

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    Weary-Smith Kimberly Anne;

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  • 年度 2007
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  • 正文语种 en
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