期刊
PLOS ONE
卷 6, 期 8, 页码 -出版社
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0023299
关键词
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资金
- German Ministry for Education and Research (BMBF) [01GI0920]
- EU [215820-2, FP7-223865, 215820, 223865, LSHM-CT-2006-03759, LSHM-CT-2004-503485]
- UK Medical Research Council/Wellcome Trust
- Federal Ministry of Education and Research [01GI0920, 01GI0904]
- Mayo Clinic Rochester
- Federal Ministry of Economics and Technology [KF0564001KF7]
- University of Oxford
- Technical University of Munich
- Hertie Foundation [1.01.1/07/015]
- Bavarian Research Foundation
- National Multiple Sclerosis Society (NMSS)
- Porticus Foundation [900.50578]
- University of Rochester
- GlaxoSmithKline
- Merck
- Novartis
- Pfizer
- British Heart Foundation [RG/09/012/28096, RG/08/014/24067] Funding Source: researchfish
- Medical Research Council [MC_qA137933] Funding Source: researchfish
- National Institute for Health Research [RP-PG-0310-1004] Funding Source: researchfish
- MRC [MC_qA137933] Funding Source: UKRI
Context: Walking speed is a fundamental parameter of human motion and is increasingly considered as an important indicator of individuals' health status. Objective: To evaluate the relationship of gait parameters, and demographic and physical characteristics in healthy men and women. Design, Setting, and Participants: 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). Main Outcome Measure: Walking speed. Results: 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 nonsignificant. BMI was negatively correlated with the number of walking and running steps and longest non-stop distance. Conclusion: 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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