Association between walking speed and age in healthy, free-living individuals using mobile accelerometry--a cross-sectional study.
Association between walking speed and age in healthy, free-living individuals using mobile accelerometry--a cross-sectional study.
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DOI：
10.1371/journal.pone.0023299
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发表时间：
2011
期刊：
影响因子：
3.7
通讯作者：
Daumer M
中科院分区：
文献类型：
--
作者：
Schimpl M;Moore C;Lederer C;Neuhaus A;Sambrook J;Danesh J;Ouwehand W;Daumer M
步行速度是人体运动的一个基本参数，越来越被认为是个体健康状况的重要指标。评价健康男女步态参数与人口学和体格特征的关系。招募参加剑桥心脏资源研究的男性和女性献血者的亚样本(n = 358)。收集人口统计数据，测量身体特征(身高、体重和血压)，并使用加速度计和测量步行速度的新算法评估7天的自由生活活动参数。参与者的年龄中值(四分位数范围[IQR])为49岁(16岁)；45%为女性；BMI中值(IQR)为26(5.4)。步行速度。在这项研究中，行走速度随着年龄的增长而下降的假设是使用初始的“开放”数据集产生的。随后，这一结论在另一个封闭的数据集中得到了验证，该数据集显示，每年−的步行速度降低了0.0037米/S。这相当于20岁时步行1公里与60岁时相差1.2分钟。步行速度与其他参与者特征(即性别、BMI和血压)之间的关联并不显著。BMI与步行和跑步步数、最长不停车距离呈负相关。这是第一次使用加速度法研究自由生活的健康个体的行走速度和年龄之间的关系。步态速度的绝对值与临床环境中公布的正常范围相当。这项研究强调了使用移动加速度计评估步态参数的可能性，这些参数可能指示健康个体未来的健康结果。
Walking speed is a fundamental parameter of human motion and is increasingly considered as an important indicator of individuals' health status. To evaluate the relationship of gait parameters, and demographic and physical characteristics in healthy men and women. Recruitment of a subsample (n = 358) of male and female blood donors taking part in the Cambridge CardioResource study. Collection of demographic data, measurement of physical characteristics (height, weight and blood pressure) and assessment of 7-day, free-living activity parameters using accelerometry and a novel algorithm to measure walking speed. Participants were a median (interquartile range[IQR]) age of 49 (16) years; 45% women; and had a median (IQR) BMI of 26 (5.4). Walking speed. In this study, the hypothesis that walking speed declines with age was generated using an initial ‘open’ dataset. This was subsequently validated in a separate ‘closed’ dataset that showed a decrease of walking speed of −0.0037 m/s per year. This is equivalent to a difference of 1.2 minutes, when walking a distance of 1 km aged 20 compared to 60 years. Associations between walking speed and other participant characteristics (i.e. gender, BMI and blood pressure) were non-significant. BMI was negatively correlated with the number of walking and running steps and longest non-stop distance. This is the first study using accelerometry which shows an association between walking speed and age in free-living, healthy individuals. Absolute values of gait speed are comparable to published normal ranges in clinical settings. This study highlights the potential use of mobile accelerometry to assess gait parameters which may be indicative of future health outcomes in healthy individuals.
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