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Cited by 232Physical Activity and HealthBalance, Gait, and Falls PreventionContext-Aware Activity Recognition Systems

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

Using Cadence to Study Free-Living Ambulatory Behaviour

Tudor-Locke, Catrine, Rowe, David A.·2012·Sports Medicine
DOI 10.2165/11599170-000000000-00000
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Abstract

The health benefits of a physically active lifestyle across a person's lifespan have been established. If there is any single physical activity behaviour that we should measure well and promote effectively, it is ambulatory activity and, more specifically, walking. Since public health physical activity guidelines include statements related to intensity of activity, it follows that we need to measure and promote free-living patterns of ambulatory activity that are congruent with this intent. The purpose of this review article is to present and summarize the potential for using cadence (steps/minute) to represent such behavioural patterns of ambulatory activity in free-living. Cadence is one of the spatio-temporal parameters of gait or walking speed. It is typically assessed using short-distance walks in clinical research and practice, but free-living cadence can be captured with a number of commercially available accelerometers that possess time-stamping technology. This presents a unique opportunity to use the same metric to communicate both ambulatory performance (assessed under testing conditions) and behaviour (assessed in the real world). Ranges for normal walking cadence assessed under laboratory conditions are 96-138 steps/minute for women and 81-135 steps/minute for men across their lifespan. The correlation between mean cadence and intensity (assessed with indirect calorimetry and expressed as metabolic equivalents [METs]) based on five treadmill/overground walking studies, is r = 0.93 and 100 steps/minute is considered to be a reasonable heuristic value indicative of walking at least at absolutely-defined moderate intensity (i.e. minimally, 3 METs) in adults. The weighted mean cadence derived from eight studies that have observed pedestrian cadence under natural conditions was 115.2 steps/minute, demonstrating that achieving 100 steps/minute is realistic in specific settings that occur in real life. However, accelerometer data collected in a large, representative sample suggest that self-selected walking at a cadence equivalent to ≥100 steps/minute is a rare occurrence in free-living adults. Specifically, the National Health and Nutrition Examination Survey (NHANES) data show that US adults spent ≅4.8 hours/day in non-movement (i.e. zero cadence) during wearing time, ≅8.7 hours at 1-59 steps/minute, ≅16 minutes/day at cadences of 60-79 steps/minute, ≅8 minutes at 80-99 steps/minute, ≅5 minutes at 100-119 steps/minute, and ≅2 minutes at 120+ steps/minute. Cadence appears to be sensitive to change with intervention, and capitalizing on the natural tempo of music is an obvious means of targeting cadence. Cadence could potentially be used effectively in epidemiological study, intervention and behavioural research, dose-response studies, determinants studies and in prescription and practice. It is easily interpretable by researchers, clinicians, programme staff and the lay public, and therefore offers the potential to bridge science, practice and real life.

Overview

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Crossref · 10.2165/11599170-000000000-00000

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99 of 99 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 12

  1. Zatsiorky, 1994 Jun, J Sports Med Phys Fitness, 34, 109
  2. Hatano, 1997, Res J Walking, 1, 45
  3. Hatano, 1993, ICHPER, 29, 4
  4. Molen, 1966, Proc K Ned Akad Wet C, 69, 522
  5. Finley, 1970 Jul, Arch Phys Med Rehabil, 51, 423
  6. Molen, 1972, Proc K Ned Akad Wet C, 45, 215
  7. Eke-Okoro, 1984, J Hum Movement Stud, 10, 107
  8. Sato, 1990 Jun, J Hum Ergol (Tokyo), 19, 13
  9. Sato, 1991 Jun, J Hum Ergol (Tokyo), 20, 85
  10. Bereket, 2005 Jun, J Sports Med Phys Fitness, 45, 152
  11. Abel, 2008, Int J Fit, 4, 51
  12. Yamashita, 2006 Sep, J Sports Med Phys Fitness, 46, 425

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Metadata

Authors
Tudor-Locke, C., & Rowe, D. A.
Affiliations
  • Pennington Biomedical Research Center (US)
  • University of Strathclyde (GB)
ORCID
Venue
Sports Medicine
Publisher
Springer Science and Business Media LLC
Published
2012-05
Volume
42
Issue
5
Pages
381-398
ISSN
0112-1642 (ISSN-L)
DOI
10.2165/11599170-000000000-00000
OpenAlex
W2117744571
Cited by
231
References
99
Citations by year
2026: 7 · 2025: 15 · 2024: 19 · 2023: 20 · 2022: 35 · 2021: 26 · 2020: 16 · 2019: 15 · 2018: 15 · 2017: 18 · 2016: 12 · 2015: 7 · 2014: 6 · 2013: 13 · 2012: 5
FWCI
1.08
Type
journal article
Language
en
Open access
closed
Locations
  • Sports Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
cadence, walking cadence, ambulatory activity, free-living physical activity, accelerometer-measured activity, walking speed, walking intensity, metabolic equivalents, physical activity guidelines, sedentary behavior, NHANES, physical activity measurement
MeSH terms
Exercise Test, Humans, Life Style, Public Health, Health Behavior, Walking, Monitoring, Ambulatory, Metabolic Equivalent

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