Objectively Measured Daily Steps and Subsequent Long Term All-Cause Mortality: The Tasped Prospective Cohort Study
Open accessAbstract
BACKGROUND: Self-reported physical activity has been inversely associated with mortality but the effect of objectively measured step activity on mortality has never been evaluated. The objective is to determine the prospective association of daily step activity on mortality among free-living adults. METHODS AND FINDINGS: Cohort study of free-living adults residing in Tasmania, Australia between 2000 and 2005 who participated in one of three cohort studies (n = 2 576 total participants). Daily step activity by pedometer at baseline at a mean of 58.8 years of age, and for a subset, repeated monitoring was available 3.7 (SD 1.3) years later (n = 1 679). All-cause mortality (n = 219 deaths) was ascertained by record-linkage to the Australian National Death Index; 90% of participants were followed-up over ten years, until June 2011. Higher daily step count at baseline was linearly associated with lower all-cause mortality (adjusted hazard ratio AHR, 0.94; 95% CI, 0.90 to 0.98 per 1 000 steps; P = 0.004). Risk was altered little by removing deaths occurring in the first two years. Increasing baseline daily steps from sedentary to 10 000 steps a day was associated with a 46% (95% CI, 18% to 65%; P = 0.004) lower risk of mortality in the decade of follow-up. In addition, those who increased their daily steps over the monitoring period had a substantial reduction in mortality risk, after adjusting for baseline daily step count (AHR, 0.39; 95% CI, 0.22 to 0.72; P = 0.002), or other factors (AHR, 0.38; 95% CI, 0.21-0.70; P = 0.002). CONCLUSIONS: Higher daily step count was linearly associated with subsequent long term mortality among free living adults. These data are the first to quantify mortality reductions using an objective measure of physical activity in a free living population. They strongly underscore the importance of physical inactivity as a major public health problem.
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A previous validation study showed a 7-day measurement was strongly associated with PA over a period of up to 3.7 years.
“A previous validation study showed a 7-day measurement was strongly associated with PA over a period of up to 3.7 years29.”
From Accelerometer-derived physical activity and mortality in individuals with type 2 diabetes (2024) · cites this paper as [29]
The Discussion (page unavailable) reports that two days of pedometer recording captured 89% of the variance over a seven-day period. That supports short-term measurement agreement, not the claim that a seven-day measurement was strongly associated with physical activity for up to 3.7 years; no such longitudinal validation appears in the passages searched. (LLM, conf=0.82)
Experimental — accuracy not yet measuredDwyer et al. and Jefferis et al. both found an association between all-cause mortality and step count where every increment of 1000 steps per day led to a 6 and 14% risk reduction, respectively.
“Here, Dwyer et al. and Jefferis et al. both found an association between all-cause mortality and step count where every increment of 1000 steps per day led to a 6 and 14% risk reduction, respectively [68, 69].”
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Cites
International physical activity questionnaire: 12-country reliability and validity
CRAIG, C. L., MARSHALL, A. L., SJ??STR??M, M., BAUMAN, A. E., BOOTH, M. L., AINSWORTH, B. E., PRATT, M., EKELUND, U., YNGVE, A., SALLIS, J. F., et al. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000078924.61453.fb · Cited by 21,619 · see citing works
‘Small Changes' to Diet and Physical Activity Behaviors for Weight Management
Hills, A. P., Byrne, N. M., Lindstrom, R. C., & Hill, J. O. (2013) · Obesity Facts · doi:10.1159/000345030 · Cited by 9,526 · see citing works
Prince, S. A., Adamo, K. B., Hamel, M., Hardt, J., Connor Gorber, S., & Tremblay, M. (2008) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-5-56 · Cited by 3,162 · see citing works
Physical Activity, All-Cause Mortality, and Longevity of College Alumni
Paffenbarger, R. S., Hyde, R., Wing, A. L., & Hsieh, C.-C. (1986) · New England Journal of Medicine · doi:10.1056/nejm198603063141003 · Cited by 2,742 · see citing works
Blair, S. N. (1995) · JAMA · doi:10.1001/jama.273.14.1093 · Cited by 2,088 · see citing works
Self-citationUsing Pedometers to Increase Physical Activity and Improve Health: A Systematic Review
Bravata, D. M., Smith-Spangler, C., Sundaram, V., Gienger, A. L., Lin, N., Lewis, R., Stave, C. D., Olkin, I., & Sirard, J. R. (2007) · JAMA · doi:10.1001/jama.298.19.2296 · Cited by 2,064 · see citing works
Wen, C. P., Wai, J. P. M., Tsai, M. K., Yang, Y. C., Cheng, T. Y. D., Lee, M.-C., Chan, H. T., Tsao, C. K., Tsai, S. P., & Wu, X. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60749-6 · Cited by 1,908 · see citing works
Statistical Methods in Medical Research
Lachenbruch, P. A., & Armitage, P. (1972) · Technometrics · doi:10.2307/1266938 · Cited by 1,547 · see citing works
Nocon, M., Hiemann, T., Müller-Riemenschneider, F., Thalau, F., Roll, S., & Willich, S. N. (2008) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/hjr.0b013e3282f55e09 · Cited by 1,080 · see citing works
The use of fractional polynomials to model continuous risk variables in epidemiology
Royston, P., Ambler, G., & Sauerbrei, W. (1999) · International Journal of Epidemiology · doi:10.1093/ije/28.5.964 · Cited by 1,066 · see citing works
Dose Response Between Physical Activity and Risk of Coronary Heart Disease: A Meta-Analysis
Sattelmair, J., Pertman, J., Ding, E. L., Kohl, H. W., Haskell, W., & Lee, I.-M. (2011) · Circulation · doi:10.1161/circulationaha.110.010710 · Cited by 1,052 · see citing works
Salmon, J., Owen, N., Crawford, D., Bauman, A., & Sallis, J. F. (2003) · Health Psychology · doi:10.1037/0278-6133.22.2.178 · Cited by 915 · see citing works
Moore, S. C., Patel, A. V., Matthews, C. E., Berrington de Gonzalez, A., Park, Y., Katki, H. A., Linet, M. S., Weiderpass, E., Visvanathan, K., Helzlsouer, K. J., et al. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001335 · Cited by 690 · see citing works
Helmerhorst, H. J. F., Brage, S., Warren, J. M., Besson, H., & Ekelund, U. (2012) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-9-103 · Cited by 684 · see citing works
Physical activity and risk of cardiovascular disease—a meta-analysis of prospective cohort studies
Li, J., & Siegrist, J. (2012) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph9020391 · Cited by 674 · see citing works
Utility of Pedometers for Assessing Physical Activity: Convergent Validity
Tudor-Locke, C., Williams, J. E., Reis, J. P., & Pluto, D. (2002) · Sports Medicine · doi:10.2165/00007256-200232120-00004 · Cited by 649 · see citing works
Hodge, A. M., Patterson, A. J., Brown, W. J., Ireland, P. D., & Giles, G. G. (2000) · Australian and New Zealand Journal of Public Health · doi:10.1111/j.1467-842x.2000.tb00520.x · Cited by 632 · see citing works
Lee, D.-C., Sui, X., Artero, E. G., Lee, I.-M., Church, T. S., McAuley, P. A., Stanford, F. C., Kohl, H. W., & Blair, S. N. (2011) · Circulation · doi:10.1161/circulationaha.111.038422 · Cited by 572 · see citing works
Self-citationRELIABILITY AND VALIDITY OF THE INTERNATIONAL PHYSICAL ACTIVITY QUESTIONNAIRE (IPAQ)
Hallal, P. C., & Victora, C. G. (2004) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000117161.66394.07 · Cited by 562 · see citing works
Löllgen, H., Böckenhoff, A., & Knapp, G. (2009) · International Journal of Sports Medicine · doi:10.1055/s-0028-1128150 · Cited by 529 · see citing works
Fitness versus physical activity patterns in predicting mortality in men
Myers, J., Kaykha, A., George, S., Abella, J., Zaheer, N., Lear, S., Yamazaki, T., & Froelicher, V. (2004) · The American Journal of Medicine · doi:10.1016/j.amjmed.2004.06.047 · Cited by 521 · see citing works
Woodcock, J., Franco, O. H., Orsini, N., & Roberts, I. (2010) · International Journal of Epidemiology · doi:10.1093/ije/dyq104 · Cited by 509 · see citing works
Physical Activity and Breast Cancer: A Systematic Review
Monninkhof, E. M., Elias, S. G., Vlems, F. A., van der Tweel, I., Schuit, A. J., Voskuil, D. W., & van Leeuwen, F. E. (2007) · Epidemiology · doi:10.1097/01.ede.0000251167.75581.98 · Cited by 503 · see citing works
The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)—methods and response rates
Dunstan, D. W., Zimmet, P., Welborn, T. A., Cameron, A. J., Shaw, J. E., de Courten, M., Jolley, D., & McCarty, D. J. (2002) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(02)00025-6 · Cited by 495 · see citing works
How many days of pedometer monitoring predict weekly physical activity in adults?
TUDORLOCKE, C., BURKETT, L., REIS, J., AINSWORTH, B., MACERA, C., & WILSON, D. (2005) · Preventive Medicine · doi:10.1016/j.ypmed.2004.06.003 · Cited by 479 · see citing works
Translating Physical Activity Recommendations into a Pedometer-Based Step Goal
Marshall, S. J., Levy, S. S., Tudor-Locke, C. E., Kolkhorst, F. W., Wooten, K. M., Ji, M., Macera, C. A., & Ainsworth, B. E. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2009.01.021 · Cited by 447 · see citing works
Comparison of pedometer and accelerometer measures of free-living physical activity
Tudor-Locke, C. E., Ainsworth, B. E., Thompson, R. W., & Matthews, C. E. (2002) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200212000-00027 · Cited by 387 · see citing works
Improving question wording in surveys of culturally diverse populations
Warnecke, R. B., Johnson, T. P., Chávez, N., Sudman, S., O'Rourke, D., Lacey, L., & Horm, J. W. (1997) · Annals of Epidemiology · doi:10.1016/s1047-2797(97)00030-6 · Cited by 386 · see citing works
Gebel, K., Ding, D., Chey, T., Stamatakis, E., Brown, W. J., & Bauman, A. E. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.0541 · Cited by 344 · see citing works
Association of sedentary time with mortality independent of moderate to vigorous physical activity
Koster, A., Caserotti, P., Patel, K. V., Matthews, C. E., Berrigan, D., Van Domelen, D. R., Brychta, R. J., Chen, K. Y., & Harris, T. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037696 · Cited by 340 · see citing works
Yates, T., Haffner, S. M., Schulte, P. J., Thomas, L., Huffman, K. M., Bales, C. W., Califf, R. M., Holman, R. R., McMurray, J. J. V., Bethel, M. A., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(13)62061-9 · Cited by 238 · see citing works
Use of the pedometer for promoting daily walking exercise
Hatano, Y. (1993) · Medical Entomology and Zoology · Cited by 219 · see citing works
Ekelund, U., Franks, P. W., Sharp, S. J., Brage, S., & Wareham, N. J. (2007) · Diabetes Care · doi:10.2337/dc07-0719 · Cited by 141 · see citing works
Aerobic exercise and HDL2-C: A meta-analysis of randomized controlled trials
Kelley, G. A., & Kelley, K. S. (2006) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2005.04.005 · Cited by 109 · see citing works
Expected values for pedometer-determined physical activity in older populations
Tudor-Locke, C. E., Hart, T. L., & Washington, T. L. (2009) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-6-59 · Cited by 101 · see citing works
Dwyer, T., Ponsonby, A., Ukoumunne, O. C., Pezic, A., Venn, A., Dunstan, D. W., Barr, E., Blair, S. N., Cochrane, J., Zimmet, P., et al. (2011) · BMJ · doi:10.1136/bmj.c7249 · Cited by 97 · see citing works
Self-citationRisk of falls in older people during fast-walking – The TASCOG study
Callisaya, M. L., Blizzard, C. L., McGinley, J. L., & Srikanth, V. K. (2012) · Gait & Posture · doi:10.1016/j.gaitpost.2012.05.003 · Cited by 96 · see citing works
Self-citationCardiometabolic Risk in Younger and Older Adults Across an Index of Ambulatory Activity
Schmidt, M. D., Cleland, V. J., Shaw, K. A.-M., Dwyer, T., & Venn, A. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2009.05.020 · Cited by 83 · see citing works
Self-citationCorrelates of Subchondral BMD: A Cross-Sectional Study
Aitken, D. A., Quinn, S. J., Ding, C., et al. (2009) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.090532 · Cited by 58 · see citing works
Objectively Measured Physical Activity and the Subsequent Risk of Incident Dysglycemia
Ponsonby, A., Sun, C., Ukoumunne, O. C., Pezic, A., Venn, A., Shaw, J. E., Dunstan, D. W., Barr, E., Blair, S. N., Cochrane, J., et al. (2011) · Diabetes Care · doi:10.2337/dc10-2386 · Cited by 53 · see citing works
Self-citationAitken, D. A., de Hoog, J., Giles, G. G., Ding, C., Cicuttini, F., & Jones, G. (2012) · Arthritis Research & Therapy · doi:10.1186/ar3689 · Cited by 41 · see citing works
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Association of daily step count and step intensity with mortality among US adults
Saint-Maurice, P. F., Troiano, R. P., Bassett, D. R., Graubard, B. I., Carlson, S. A., Shiroma, E. J., Fulton, J. E., & Matthews, C. E. (2020) · JAMA · doi:10.1001/jama.2020.1382 · Cited by 660 · see citing works
Association of Step Volume and Intensity With All-Cause Mortality in Older Women
Lee, I.-M., Shiroma, E. J., Kamada, M., Bassett, D. R., Matthews, C. E., & Buring, J. E. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2019.0899 · Cited by 604 · see citing works
Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts
Paluch, A. E., Bajpai, S., Bassett, D. R., Carnethon, M. R., Ekelund, U., Evenson, K. R., Galuska, D. A., Jefferis, B. J., Kraus, W. E., Lee, I.-M., et al. (2022) · The Lancet Public Health · doi:10.1016/s2468-2667(21)00302-9 · Cited by 582 · see citing works
Self-citationHall, K. S., Hyde, E. T., Bassett, D. R., Carlson, S. A., Carnethon, M. R., Ekelund, U., Evenson, K. R., Galuska, D. A., Kraus, W. E., Lee, I.-M., et al. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-00978-9 · Cited by 361 · see citing works
Jefferis, B. J., Parsons, T. J., Sartini, C., Ash, S., Lennon, L. T., Papacosta, O., Morris, R. W., Wannamethee, S. G., Lee, I.-M., & Whincup, P. H. (2019) · British Journal of Sports Medicine · doi:10.1136/bjsports-2017-098733 · Cited by 244 · see citing works
How consumer physical activity monitors could transform human physiology research
Wright, S. P., Hall Brown, T. S., Collier, S. R., & Sandberg, K. (2017) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00349.2016 · Cited by 234 · see citing works
Blond, K., Brinkløv, C. F., Ried-Larsen, M., Crippa, A., & Grøntved, A. (2020) · British Journal of Sports Medicine · doi:10.1136/bjsports-2018-100393 · Cited by 201 · see citing works
Chaudhry, U. A. R., Wahlich, C., Fortescue, R., Cook, D. G., Knightly, R., & Harris, T. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-01020-8 · Cited by 193 · see citing works
Franssen, W. M. A., Franssen, G. H. L. M., Spaas, J., Solmi, F., & Eijnde, B. O. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-00955-2 · Cited by 188 · see citing works
Ramakrishnan, R., Doherty, A., Smith-Byrne, K., Rahimi, K., Bennett, D., Woodward, M., Walmsley, R., & Dwyer, T. (2021) · PLOS Medicine · doi:10.1371/journal.pmed.1003487 · Cited by 183 · see citing works
Self-citationLiang, Y. Y., Feng, H., Chen, Y., Jin, X., Xue, H., Zhou, M., Ma, H., Ai, S., Wing, Y.-K., Geng, Q., et al. (2023) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwad060 · Cited by 102 · see citing works
Harris, T., Kerry, S. M., Limb, E. S., Furness, C., Wahlich, C., Victor, C. R., Iliffe, S., Whincup, P. H., Ussher, M., Ekelund, U., et al. (2018) · PLoS Medicine · doi:10.1371/journal.pmed.1002526 · Cited by 95 · see citing works
Mulchandani, R., Armstrong, B., Beck, C. R., Waite, T. D., Amlôt, R., Kovats, S., Leonardi, G., Rubin, G. J., & Oliver, I. (2020) · BMC Public Health · doi:10.1186/s12889-020-8424-3 · Cited by 73 · see citing works
Jefferis, B. J., Parsons, T. J., Sartini, C., Ash, S., Lennon, L. T., Papacosta, O., Morris, R. W., Wannamethee, S. G., Lee, I.-M., & Whincup, P. H. (2019) · International Journal of Cardiology · doi:10.1016/j.ijcard.2018.12.024 · Cited by 65 · see citing works
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Femiano, R., Werner, C., Wilhelm, M., & Eser, P. (2022) · Gait & Posture · doi:10.1016/j.gaitpost.2021.11.035 · Cited by 31 · see citing works
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Mambrey, V., Wermuth, I., & Böse-O’Reilly, S. (2019) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-019-02937-7 · Cited by 30 · see citing works
Maylor, B. D., Edwardson, C. L., Dempsey, P. C., Patterson, M. R., Plekhanova, T., Yates, T., & Rowlands, A. V. (2022) · Sensors · doi:10.3390/s22249984 · Cited by 30 · see citing works
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Raichlen, D. A., & Lieberman, D. E. (2022) · Current Biology · doi:10.1016/j.cub.2022.09.030 · Cited by 21 · see citing works
- Authors
- Dwyer, T., Pezic, A., Sun, C., Cochrane, J., Venn, A., Srikanth, V., Jones, G., Shook, R., Sui, X., Ortaglia, A., Blair, S., & Ponsonby, A.-L.
- Affiliations
- University of Tasmania (AU)
- Royal Children's Hospital (AU)
- Monash University (AU)
- Iowa State University (US)
- University of South Carolina (US)
- Corresponding author
- Ponsonby, Anne-Louise
- ORCID
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-11-04
- Volume
- 10
- Issue
- 11
- Pages
- e0141274
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4633039
- OpenAlex
- W2105454468
- Cited by
- 239
- References
- 42
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 11 · 2023: 14 · 2022: 13 · 2021: 40 · 2020: 52 · 2019: 25 · 2018: 19 · 2017: 29 · 2016: 14 · 2015: 3 · 2014: 1
- FWCI
- 15.95
- Type
- journal article
- Language
- en
- Update notices
- correction (2015-12-31)
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion, cc-by)
- Monash University Research Portal (Monash University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- Funders
- U.S. Department of Defense
- U.S. Department of Health and Human Services
- Pfizer
- GlaxoSmithKline
- Sanofi
- Coca-Cola Foundation
- University of Miami
- Arthritis Foundation of Australia
- University of South Carolina
- Diabetes Australia
- Kidney Health Australia
- University of Tasmania
- Novo Nordisk
- State Government of Victoria
- Physiotherapy Research Foundation
- Servier
- Tasmanian Community Fund
- Tasmanian Department of Health
- National Institutes of Health
- Medical Research Council
- National Health and Medical Research Council
- Cilag
- 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
- daily step count, physical activity, all-cause mortality, pedometer-measured activity, physical inactivity, sedentary behavior, 10,000 steps per day, free-living adults
- MeSH terms
- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Mortality, Motor Activity, Prospective Studies, Tasmania, Exercise, Walking, Actigraphy, Self Report
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