The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Pedometer-Determined Step Count Guidelines for Classifying Walking Intensity in a Young Ostensibly Healthy Population
Abstract
Purpose: (a) To establish pedometer steps/min intensity categories (i.e., light, moderate, hard, very hard) for adults under controlled conditions, and (b) use these cut-points to ascertain the number of steps expected in 30 minutes of moderate intensity activity. Methods: 25 men and 25 women, ages 18-39 years, performed 6-min exercise bouts at 3 treadmill speeds (4.8, 6.4, and 9.7 km/hr). Yamax SW-200 pedometers indicated steps, and steady-state [Formula: see text] was recorded. METs were calculated by dividing steady-state [Formula: see text] by 3.5 ml•kg−1 min−1. Linear regression was used to quantify the relationships between steps/min and METs across all speeds. Ten participants (5 M, 5 F) were randomly selected from the original 50 and constituted a holdout sample for cross-validation purposes (i.e, comparing actual and predicted METs; paired t-test). Results: The regression equation for males was: METs = −7.065 + (0.105*steps/min) r 2 = 0.803. For females it was: METs = −8.805 + (0.110*steps/min) r 2 = 0.830. Cross-validation was confirmed. Conclusions: Pedometer cut-points corresponding to minimal moderate intensity walking were 96 steps/min in men and 107 steps/min in women, or roughly 100 steps/min for both. This translates to approximately 3,000 steps in 30 min of moderate-intensity ambulatory activity for both genders. Key words: exercise, outcome assessment, motion sensor
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Citations
Cites
Calibration of the Computer Science and Applications, Inc. accelerometer
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Physical fitness and activity as separate heart disease risk factors: a meta-analysis
WILLIAMS, P. T. (2001) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200105000-00012 · Cited by 724
Tudor-Locke, C., Bell, R. C., Myers, A. M., Harris, S. B., Ecclestone, N. A., Lauzon, N., & Rodger, N. W. (2004) · International Journal of Obesity · doi:10.1038/sj.ijo.0802485 · Cited by 321
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Cited by
How Many Steps/Day Are Enough?: Preliminary Pedometer Indices for Public Health
Tudor-Locke, C., & Bassett, D. R. (2004) · Sports Medicine · doi:10.2165/00007256-200434010-00001 · Cited by 2,054
Self-citationWang, R., Chen, F., Chen, Z., Li, T., Harari, G., Tignor, S., Zhou, X., Ben-Zeev, D., & Campbell, A. T. (2014) · Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing · doi:10.1145/2632048.2632054 · Cited by 1,116
How many steps/day are enough? for adults
Tudor-Locke, C., Craig, C. L., Brown, W. J., Clemes, S. A., De Cocker, K., Giles-Corti, B., Hatano, Y., Inoue, S., Matsudo, S. M., Mutrie, N., et al. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-79 · Cited by 1,087
Self-citationPassive and In-Situ assessment of mental and physical well-being using mobile sensors
Rabbi, M., Ali, S., Choudhury, T., & Berke, E. (2011) · Proceedings of the 13th international conference on Ubiquitous computing · doi:10.1145/2030112.2030164 · Cited by 243
Using Cadence to Study Free-Living Ambulatory Behaviour
Tudor-Locke, C., & Rowe, D. A. (2012) · Sports Medicine · doi:10.2165/11599170-000000000-00000 · Cited by 231
Self-citationLow‐intensity daily walking activity is associated with hippocampal volume in older adults
Varma, V. R., Chuang, Y., Harris, G. C., Tan, E. J., & Carlson, M. C. (2015) · Hippocampus · doi:10.1002/hipo.22397 · Cited by 188
Accelerometer-Determined Steps/Day and Metabolic Syndrome
Sisson, S. B., Camhi, S. M., Church, T. S., Tudor-Locke, C., Johnson, W. D., & Katzmarzyk, P. T. (2010) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2010.02.015 · Cited by 116
Self-citationPractical Approaches to Prescribing Physical Activity and Monitoring Exercise Intensity
Reed, J. L., & Pipe, A. L. (2016) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2015.12.024 · Cited by 100
Step accumulation per minute epoch is not the same as cadence for free-living adults
DALL, P. M., MCCRORIE, P. R. W., GRANAT, M. H., & STANSFIELD, B. W. (2013) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182955780 · Cited by 62
Tudor-Locke, C., Craig, C. L., Cameron, C., & Griffiths, J. M. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-66 · Cited by 57
Self-citationDuncan, M. J., Vandelanotte, C., Trost, S. G., Rebar, A. L., Rogers, N., Burton, N. W., Murawski, B., Rayward, A., Fenton, S., & Brown, W. J. (2016) · BMC Public Health · doi:10.1186/s12889-016-3256-x · Cited by 43
Fanaroff, A. C., Patel, M. S., Chokshi, N., Coratti, S., Farraday, D., Norton, L., Rareshide, C., Zhu, J., Szymczak, J. E., Russell, L. B., et al. (2023) · American Heart Journal · doi:10.1016/j.ahj.2023.02.014 · Cited by 23
Metadata
- Authors
- Tudor-Locke, C., Sisson, S. B., Collova, T., Lee, S. M., & Swan, P. D.
- Venue
- Canadian Journal of Applied Physiology
- Publisher
- Canadian Science Publishing
- Published
- 2005-12-01
- Volume
- 30
- Issue
- 6
- Pages
- 666-676
- ISSN
- 1066-7814 (ISSN-L)
- OpenAlex
- W2103727670
- Cited by
- 292
- References
- 3
- FWCI
- 3.28
- Type
- journal article
- Language
- en
- Open access
- closed
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