How many steps/day are enough? for adults
Open accessAbstract
Physical activity guidelines from around the world are typically expressed in terms of frequency, duration, and intensity parameters. Objective monitoring using pedometers and accelerometers offers a new opportunity to measure and communicate physical activity in terms of steps/day. Various step-based versions or translations of physical activity guidelines are emerging, reflecting public interest in such guidance. However, there appears to be a wide discrepancy in the exact values that are being communicated. It makes sense that step-based recommendations should be harmonious with existing evidence-based public health guidelines that recognize that "some physical activity is better than none" while maintaining a focus on time spent in moderate-to-vigorous physical activity (MVPA). Thus, the purpose of this review was to update our existing knowledge of "How many steps/day are enough?", and to inform step-based recommendations consistent with current physical activity guidelines. Normative data indicate that healthy adults typically take between 4,000 and 18,000 steps/day, and that 10,000 steps/day is reasonable for this population, although there are notable "low active populations." Interventions demonstrate incremental increases on the order of 2,000-2,500 steps/day. The results of seven different controlled studies demonstrate that there is a strong relationship between cadence and intensity. Further, despite some inter-individual variation, 100 steps/minute represents a reasonable floor value indicative of moderate intensity walking. Multiplying this cadence by 30 minutes (i.e., typical of a daily recommendation) produces a minimum of 3,000 steps that is best used as a heuristic (i.e., guiding) value, but these steps must be taken over and above habitual activity levels to be a true expression of free-living steps/day that also includes recommendations for minimal amounts of time in MVPA. Computed steps/day translations of time in MVPA that also include estimates of habitual activity levels equate to 7,100 to 11,000 steps/day. A direct estimate of minimal amounts of MVPA accumulated in the course of objectively monitored free-living behaviour is 7,000-8,000 steps/day. A scale that spans a wide range of incremental increases in steps/day and is congruent with public health recognition that "some physical activity is better than none," yet still incorporates step-based translations of recommended amounts of time in MVPA may be useful in research and practice. The full range of users (researchers to practitioners to the general public) of objective monitoring instruments that provide step-based outputs require good reference data and evidence-based recommendations to be able to design effective health messages congruent with public health physical activity guidelines, guide behaviour change, and ultimately measure, track, and interpret steps/day.
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Prior studies have focused on a relatively targeted set of outcomes limited to mortality, diabetes and cardiovascular disease.
“Second, prior studies have focused on a relatively targeted set of outcomes limited to mortality, diabetes and cardiovascular disease.”
From Association of step counts over time with the risk of chronic disease in the All of Us Research Program (2022) · cites this paper as [4]
The Results section (“Steps/day associated with various health outcomes”; page unavailable) discusses prior studies of depression, BMI, body composition and obesity. Those outcomes fall outside mortality, diabetes and cardiovascular disease, contrary to the claim that prior studies were limited to those three. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredPrior studies consistently show that taking fewer steps per day is associated with higher risk of all-cause mortality and cardiovascular disease.
“Prior studies consistently show that taking fewer steps per day1–6 is associated with higher risk of all-cause mortality and cardiovascular disease.”
From Association of step counts over time with the risk of chronic disease in the All of Us Research Program (2022) · cites this paper as [4]
The Results section (‘Steps/day associated with various health outcomes’; page unavailable) reports more adverse cardiometabolic risk factors among adults taking fewer than 5,000 steps/day. That supports an association with risk factors, but not the claimed higher risk of all-cause mortality or cardiovascular disease. The mortality reference listed in the paper concerns sitting time, not daily steps. (LLM, conf=0.84)
Experimental — accuracy not yet measuredPrior studies assessed physical activity either by self-reported questionnaires or by having participants wear a research-grade device for a brief monitoring period, most often 7 days.
“First, prior studies assessed physical activity either by self-reported questionnaires or by having participants wear a research-grade device for a brief monitoring period (most often 7 days)1–4.”
From Association of step counts over time with the risk of chronic disease in the All of Us Research Program (2022) · cites this paper as [4]
Prior studies report no information about activity levels between the baseline period and when outcomes are assessed at follow-up, often many years later.
“Moreover, no information is reported about activity levels between the baseline period and when outcomes are assessed at follow-up, often many years later.”
From Association of step counts over time with the risk of chronic disease in the All of Us Research Program (2022) · cites this paper as [4]
The Results sections on normative data and interventions discuss step counts and activity goals, but do not say whether prior studies measured activity between baseline and follow-up. Searches for baseline, follow-up, and longitudinal activity measurements found no passage addressing that claimed reporting gap. (LLM, conf=0.72)
Experimental — accuracy not yet measured
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Troiano, R. P., & Dodd, K. W. (2008) · The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science · doi:10.21797/ksme.2008.10.2.003 · Cited by 12 · see citing works
Energy expended when walking 10,000 steps at different speeds
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BMI IN THE OLD ORDER AMISH: RESPONSE
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A Short List About What I Do and Don't Know
Tudor-Locke, C. E. (2010) · Current Sports Medicine Reports · doi:10.1249/jsr.0b013e3181d40743 · Cited by 6 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Physical activity/exercise and diabetes: A position statement of the American Diabetes Association
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Kemp, A. H., & Quintana, D. S. (2013) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.06.018 · Cited by 538 · see citing works
Reliability and validity of ten consumer activity trackers
Kooiman, T. J. M., Dontje, M. L., Sprenger, S. R., Krijnen, W. P., van der Schans, C. P., & de Groot, M. (2015) · BMC Sports Science, Medicine and Rehabilitation · doi:10.1186/s13102-015-0018-5 · Cited by 360 · see citing works
Kim, S.-E., Kim, J.-W., & Jee, Y.-S. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.028 · Cited by 322 · see citing works
Grevendonk, L., Connell, N. J., McCrum, C., Fealy, C. E., Bilet, L., Bruls, Y. M. H., Mevenkamp, J., Schrauwen-Hinderling, V. B., Jörgensen, J. A., Moonen-Kornips, E., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24956-2 · Cited by 298 · see citing works
Scherrenberg, M., Wilhelm, M., Hansen, D., Völler, H., Cornelissen, V., Frederix, I., Kemps, H., & Dendale, P. (2021) · European Journal of Preventive Cardiology · doi:10.1177/2047487320939671 · Cited by 251 · see citing works
Master, H., Annis, J., Huang, S., Beckman, J. A., Ratsimbazafy, F., Marginean, K., Carroll, R., Natarajan, K., Harrell, F. E., Roden, D. M., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-02012-w · Cited by 221 · see citing works
Comparison of Step Outputs for Waist and Wrist Accelerometer Attachment Sites
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Self-citationEpidemiology of Physical Activity and Exercise Training in the United States
Katzmarzyk, P. T., Lee, I.-M., Martin, C. K., & Blair, S. N. (2017) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2017.01.004 · Cited by 178 · see citing works
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Physical Activity after Stroke: A Systematic Review and Meta-Analysis
Field, M. J., Gebruers, N., Shanmuga Sundaram, T., Nicholson, S., & Mead, G. (2013) · ISRN Stroke · doi:10.1155/2013/464176 · Cited by 143 · see citing works
The Diabetes Remission Clinical Trial (DiRECT): protocol for a cluster randomised trial
Leslie, W. S., Ford, I., Sattar, N., Hollingsworth, K. G., Adamson, A., Sniehotta, F. F., McCombie, L., Brosnahan, N., Ross, H., Mathers, J. C., et al. (2016) · BMC Family Practice · doi:10.1186/s12875-016-0406-2 · Cited by 132 · see citing works
Impact of Seasonality on Physical Activity: A Systematic Review
Garriga, A., Sempere-Rubio, N., Molina-Prados, M. J., & Faubel, R. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010002 · Cited by 128 · see citing works
de Vries, H. J., Kooiman, T. J. M., van Ittersum, M. W., van Brussel, M., & de Groot, M. (2016) · Obesity · doi:10.1002/oby.21619 · Cited by 123 · see citing works
Lotzke, H., Brisby, H., Gutke, A., Hägg, O., Jakobsson, M., Smeets, R., & Lundberg, M. (2019) · Physical Therapy · doi:10.1093/ptj/pzz020 · Cited by 112 · see citing works
Adams, M. A., Hurley, J. C., Todd, M., Bhuiyan, N., Jarrett, C. L., Tucker, W. J., Hollingshead, K. E., & Angadi, S. S. (2017) · BMC Public Health · doi:10.1186/s12889-017-4197-8 · Cited by 110 · see citing works
Normative Steps/Day Values for Older Adults: NHANES 2005-2006
Tudor-Locke, C., Schuna, J. M., Barreira, T. V., Mire, E. F., Broyles, S. T., Katzmarzyk, P. T., & Johnson, W. D. (2013) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glt116 · Cited by 110 · see citing works
Self-citationHealthy aging and muscle function are positively associated with NAD+ abundance in humans
Janssens, G. E., Grevendonk, L., Perez, R. Z., Schomakers, B. V., de Vogel-van den Bosch, J., Geurts, J. M. W., van Weeghel, M., Schrauwen, P., Houtkooper, R. H., & Hoeks, J. (2022) · Nature Aging · doi:10.1038/s43587-022-00174-3 · Cited by 103 · see citing works
Oesen, S., Halper, B., Hofmann, M., Jandrasits, W., Franzke, B., Strasser, E.-M., Graf, A., Tschan, H., Bachl, N., Quittan, M., et al. (2015) · Experimental Gerontology · doi:10.1016/j.exger.2015.08.013 · Cited by 100 · see citing works
Physical inactivity, insulin resistance, and the oxidative-inflammatory loop
Gratas-Delamarche, A., Derbré, F., Vincent, S., & Cillard, J. (2014) · Free Radical Research · doi:10.3109/10715762.2013.847528 · Cited by 99 · see citing works
Self-tracking of Physical Activity in People With Type 2 Diabetes: A Randomized Controlled Trial
Kooiman, T. J. M., de Groot, M., Hoogenberg, K., Krijnen, W. P., van der Schans, C. P., & Kooy, A. (2018) · CIN: Computers, Informatics, Nursing · doi:10.1097/cin.0000000000000443 · Cited by 78 · see citing works
Referral for Expert Physical Activity Counseling: A Pragmatic RCT
James, E. L., Ewald, B. D., Johnson, N. A., Stacey, F. G., Brown, W. J., Holliday, E. G., Jones, M., Yang, F., Hespe, C., & Plotnikoff, R. C. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2017.06.016 · Cited by 54 · see citing works
Self-citationDuncan, M., Murawski, B., Short, C. E., Rebar, A. L., Schoeppe, S., Alley, S., Vandelanotte, C., & Kirwan, M. (2017) · Interactive Journal of Medical Research · doi:10.2196/ijmr.6685 · Cited by 68 · see citing works
Limb, E. S., Ahmad, S., Cook, D. G., Kerry, S. M., Ekelund, U., Whincup, P. H., Victor, C. R., Iliffe, S., Ussher, M., Fox-Rushby, J., et al. (2019) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-018-0762-5 · Cited by 67 · see citing works
Fayehun, A. F., Olowookere, O. O., Ogunbode, A. M., Adetunji, A. A., & Esan, A. (2018) · British Journal of General Practice · doi:10.3399/bjgp18x694613 · Cited by 58 · see citing works
Hodkinson, A., Kontopantelis, E., Adeniji, C., van Marwijk, H., McMillan, B., Bower, P., & Panagioti, M. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.12895 · Cited by 55 · see citing works
RetractedMario, F. M., Graff, S. K., & Spritzer, P. M. (2017) · Journal of Endocrinological Investigation · doi:10.1007/s40618-016-0570-1 · Cited by 47 · see citing works
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The Impact of Different Degrees of Feedback on Physical Activity Levels: A 4-Week Intervention Study
Van Hoye, K., Boen, F., & Lefevre, J. (2015) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph120606561 · Cited by 30 · see citing works
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Validation study of Polar V800 accelerometer
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Self-citationThe evolution of human step counts and its association with the risk of chronic disease
Raichlen, D. A., & Lieberman, D. E. (2022) · Current Biology · doi:10.1016/j.cub.2022.09.030 · Cited by 21 · see citing works
Garstang, K. R., Jackman, P. C., Healy, L. C., Cooper, S. B., & Magistro, D. (2024) · Journal of Physical Activity and Health · doi:10.1123/jpah.2023-0340 · Cited by 20 · see citing works
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“However, the majority of our participants, especially those in the LBP group, did not achieve 7,000 to 8,000 steps a day and so were below the threshold of free-living PA recommended in current public health guidelines (38).”
Background
- Authors
- 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., Oppert, J.-M., Rowe, D. A., Schmidt, M. D., Schofield, G. M., Spence, J. C., Teixeira, P. J., Tully, M. A., & Blair, S. N.
- Affiliations
- Pennington Biomedical Research Center (US)
- The University of Sydney (AU)
- The University of Queensland (AU)
- Loughborough University (GB)
- Tokyo Gakugei University (JP)
- Tokyo Medical University (JP)
- Centro de Estudos do Laboratório de Aptidão Física de São Caetano do Sul (BR)
- University of Strathclyde (GB)
- Assistance Publique – Hôpitaux de Paris (FR)
- University of Tasmania (AU)
- Auckland University of Technology (NZ)
- University of Alberta (CA)
- Universidade Técnica de Lisboa (PT)
- Queen's University Belfast (GB)
- University of South Carolina (US)
- Corresponding author
- Tudor-Locke, Catrine
- ORCID
- Venue
- International Journal of Behavioral Nutrition and Physical Activity
- Published
- 2011
- Volume
- 8
- Issue
- 1
- Pages
- 79
- ISSN
- 1479-5868 (ISSN-L)
- PMC
- PMC3197470
- OpenAlex
- W2138831913
- Cited by
- 1,087
- References
- 86
- Citations by year
- 2026: 53 · 2025: 73 · 2024: 89 · 2023: 75 · 2022: 97 · 2021: 116 · 2020: 102 · 2019: 78 · 2018: 90 · 2017: 67 · 2016: 67 · 2015: 66 · 2014: 48 · 2013: 38 · 2012: 23
- FWCI
- 3.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Behavioral Nutrition and Physical Activity (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- UWA Profiles and Research Repository (UWA) (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (acceptedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- eCite Digital Repository (University of Tasmania) (submittedVersion, cc-by)
- Scholar Commons (University of South Carolina) (submittedVersion, cc-by)
- RMIT Research Repository (RMIT University Library) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Figshare (submittedVersion)
- Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Research Portal (Queen's University Belfast) (submittedVersion)
- Funders
- Alere
- Public Health Agency of Canada
- University of Tennessee, Knoxville
- Public Health Agency
- National Institutes of Health (000/year)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- step count, physical activity guidelines, moderate-to-vigorous physical activity, cadence, walking intensity, pedometers, accelerometer, reference data, adults, public health communication
- MeSH terms
- Adult, Humans, Public Health, Health Behavior, Exercise, Walking, Guidelines as Topic, Monitoring, Ambulatory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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