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Daily Step Count and All-Cause Mortality: A Dose–Response Meta-analysis of Prospective Cohort Studies

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Abstract

Background

Uncertainty remains about the optimum step count per day for health promotion.

Objective

We aimed to investigate the association between step count per day and all-cause mortality risk.

Methods

PubMed, Scopus, and ISI Web of Science were searched to January 2021 to find prospective cohort studies of the association between device-based step count per day and all-cause mortality risk in the general population. Two reviewers extracted data in duplicate and rated the certainty of evidence using the GRADE approach. Study-specific hazard ratios (HRs) were pooled using a random-effects model.

Results

Seven prospective cohort studies with 175,370 person-years and 2310 cases of all-cause mortality were included. The HR for each 1000 steps per day was 0.88 (95% CI 0.83–0.93; I2 = 79%, n = 7) in the overall analysis, 0.87 (95% CI 0.78–0.97; I2 = 59%, n = 3) in adults older than 70 years, and 0.92 (95% CI 0.89–0.95; I2 = 37%, n = 2) in studies controlled for step intensity. Dose–response meta-analysis indicated a strong inverse association, wherein the risk decreased linearly from 2700 to17,000 steps per day. The HR for 10,000 steps per day was 0.44 (95% CI 0.31–0.63). The certainty of evidence was rated strong due to upgrades for large effect size and dose–response gradient.

Conclusions

Even a modest increase in steps per day may be associated with a lower risk of death. These results can be used to develop simple, efficient and easy-to-understand public health messages.

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References

  1. World Health Organization. Global recommendations on physical activity for health: World Health Organization; 2010.

  2. Ekelund U, Tarp J, Fagerland MW, Johannessen JS, Hansen BH, Jefferis BJ, et al. Joint associations of accelero-meter measured physical activity and sedentary time with all-cause mortality: a harmonised meta-analysis in more than 44 000 middle-aged and older individuals. Br J Sports Med. 2020;54(24):1499–506.

    PubMed  Google Scholar 

  3. Ekelund U, Tarp J, Steene-Johannessen J, Hansen BH, Jefferis B, Fagerland MW, et al. Dose–response associations between accelerometry measured physical activity and sedentary time and all cause mortality: systematic review and harmonised meta-analysis. BMJ. 2019;366:l4570.

    PubMed  PubMed Central  Google Scholar 

  4. Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med. 2015;162(2):123–32.

    PubMed  Google Scholar 

  5. Patterson R, McNamara E, Tainio M, de Sá TH, Smith AD, Sharp SJ, et al. Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: a systematic review and dose response meta-analysis. Berlin: Springer; 2018.

    Google Scholar 

  6. Stamatakis E, Gale J, Bauman A, Ekelund U, Hamer M, Ding D. Sitting time, physical activity, and risk of mortality in adults. J Am Coll Cardiol. 2019;73(16):2062–72.

    PubMed  Google Scholar 

  7. Alizaei Yousefabadi H, Niyazi A, Alaee S, Fathi M, Mohammad Rahimi GR. Anti-inflammatory effects of exercise on metabolic syndrome patients: a systematic review and meta-analysis. Biol Res Nurs. 2021;23(2):280–92. https://doi.org/10.1177/1099800420958068.

    Article  CAS  PubMed  Google Scholar 

  8. Jadhav RA, Maiya GA, Hombali A, Umakanth S, Shivashankar K. Effect of physical activity promotion on adiponectin, leptin and other inflammatory markers in prediabetes: a systematic review and meta-analysis of randomized controlled trials. Acta Diabetol. 2021;58(4):419–29. https://doi.org/10.1007/s00592-020-01626-1.

    Article  CAS  PubMed  Google Scholar 

  9. Wang S-T, Zheng J, Peng H-W, Cai X-L, Pan X-T, Li H-Q, et al. Physical activity intervention for non-diabetic patients with non-alcoholic fatty liver disease: a meta-analysis of randomized controlled trials. BMC Gastroenterol. 2020;20(1):1–12.

    Google Scholar 

  10. Yarizadeh H, Eftekhar R, Anjom-Shoae J, Speakman JR, Djafarian K. The effect of aerobic and resistance training and combined exercise modalities on subcutaneous abdominal fat: a systematic review and meta-analysis of randomized clinical trials. Adv Nutr (Bethesda, MD). 2021;12(1):179–96.

    Google Scholar 

  11. Harris T, Limb ES, Hosking F, Carey I, DeWilde S, Furness C, et al. Effect of pedometer-based walking interventions on long-term health outcomes: prospective 4-year follow-up of two randomised controlled trials using routine primary care data. PLoS Med. 2019;16(6):e1002836.

    PubMed  PubMed Central  Google Scholar 

  12. U.S. Department of Health and Human Services. Step it up! The surgeon general’s call to action to promote walking and walkable communities. Washington, DC: U.S. Department of Health and Human Services, Office of the Surgeon General; 2015.

    Google Scholar 

  13. Health UDo, Services H. Physical activity guidelines advisory committee. 2018 physical activity guidelines advisory committee scientific report. 2018.

  14. Lobelo F, Rohm Young D, Sallis R, Garber MD, Billinger SA, Duperly J, et al. Routine assessment and promotion of physical activity in healthcare settings: a scientific statement from the American Heart Association. Circulation. 2018;137(18):e495–522.

    PubMed  Google Scholar 

  15. Hall KS, Hyde ET, Bassett DR, Carlson SA, Carnethon MR, Ekelund U, et al. Systematic review of the prospective association of daily step counts with risk of mortality, cardiovascular disease, and dysglycemia. Int J Behav Nutr Phys Act. 2020;17(1):1–14.

    Google Scholar 

  16. Hansen BH, Dalene KE, Ekelund U, Wang Fagerland M, Kolle E, Steene-Johannessen J, et al. Step by step: association of device-measured daily steps with all-cause mortality—a prospective cohort Study. Scand J Med Sci Sports. 2020;30(9):1705–11.

    PubMed  PubMed Central  Google Scholar 

  17. Saint-Maurice PF, Troiano RP, Bassett DR, Graubard BI, Carlson SA, Shiroma EJ, et al. Association of daily step count and step intensity with mortality among US adults. JAMA. 2020;323(12):1151–60.

    PubMed  PubMed Central  Google Scholar 

  18. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. JAMA. 2000;283(15):2008–12.

    CAS  PubMed  Google Scholar 

  19. Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta-analyses. Appl Eng Agric. 2014;18(6):727–34.

    Google Scholar 

  20. Greenland S, Longnecker MP. Methods for trend estimation from summarized dose–response data, with applications to meta-analysis. Am J Epidemiol. 1992;135(11):1301–9.

    CAS  PubMed  Google Scholar 

  21. Orsini N, Bellocco R, Greenland S. Generalized least squares for trend estimation of summarized dose–response data. Stata J. 2006;6(1):40–57.

    Google Scholar 

  22. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7(3):177–88.

    CAS  PubMed  Google Scholar 

  23. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al. Cochrane handbook for systematic reviews of interventions. New York: Wiley; 2019.

    Google Scholar 

  24. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60.

    PubMed  PubMed Central  Google Scholar 

  25. Crippa A, Discacciati A, Bottai M, Spiegelman D, Orsini N. One-stage dose–response meta-analysis for aggregated data. Stat Methods Med Res. 2019;28(5):1579–96.

    PubMed  Google Scholar 

  26. Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336(7650):924–6.

    PubMed  PubMed Central  Google Scholar 

  27. Dwyer T, Pezic A, Sun C, Cochrane J, Venn A, Srikanth V, et al. Objectively measured daily steps and subsequent long term all-cause mortality: the tasped prospective cohort study. PLoS ONE. 2015;10(11):e0141274.

    PubMed  PubMed Central  Google Scholar 

  28. Fox KR, Ku P-W, Hillsdon M, Davis MG, Simmonds BA, Thompson JL, et al. Objectively assessed physical activity and lower limb function and prospective associations with mortality and newly diagnosed disease in UK older adults: an OPAL four-year follow-up study. Age Ageing. 2015;44(2):261–8.

    PubMed  Google Scholar 

  29. Jefferis BJ, Parsons TJ, Sartini C, Ash S, Lennon LT, Papacosta O, et al. Objectively measured physical activity, sedentary behaviour and all-cause mortality in older men: does volume of activity matter more than pattern of accumulation? Br J Sports Med. 2019;53(16):1013–20.

    PubMed  Google Scholar 

  30. Lee I-M, Shiroma EJ, Kamada M, Bassett DR, Matthews CE, Buring JE. Association of step volume and intensity with all-cause mortality in older women. JAMA Intern Med. 2019;179(8):1105–12.

    PubMed  PubMed Central  Google Scholar 

  31. Yamamoto N, Miyazaki H, Shimada M, Nakagawa N, Sawada SS, Nishimuta M, et al. Daily step count and all-cause mortality in a sample of Japanese elderly people: a cohort study. BMC Public Health. 2018;18(1):540.

    PubMed  PubMed Central  Google Scholar 

  32. Kraus WE, Janz KF, Powell KE, Campbell WW, Jakicic JM, Troiano RP, et al. Daily step counts for measuring physical activity exposure and its relation to health. Med Sci Sports Exerc. 2019;51(6):1206–12.

    PubMed  PubMed Central  Google Scholar 

  33. Cochrane SK, Chen SH, Fitzgerald JD, Dodson JA, Fielding RA, King AC, et al. Association of accelerometry-measured physical activity and cardiovascular events in mobility-limited older adults: the life (lifestyle interventions and independence for elders) study. J Am Heart Assoc. 2017;6(12):e007215.

    PubMed  PubMed Central  Google Scholar 

  34. Huffman KM, Sun J-L, Thomas L, Bales CW, Califf RM, Yates T, et al. Impact of baseline physical activity and diet behavior on metabolic syndrome in a pharmaceutical trial: results from NAVIGATOR. Metabolism. 2014;63(4):554–61.

    CAS  PubMed  PubMed Central  Google Scholar 

  35. Jefferis BJ, Parsons TJ, Sartini C, Ash S, Lennon LT, Papacosta O, et al. Does total volume of physical activity matter more than pattern for onset of CVD? A prospective cohort study of older British men. Int J Cardiol. 2019;278:267–72.

    PubMed  PubMed Central  Google Scholar 

  36. Yates T, Haffner SM, Schulte PJ, Thomas L, Huffman KM, Bales CW, et al. Association between change in daily ambulatory activity and cardiovascular events in people with impaired glucose tolerance (NAVIGATOR trial): a cohort analysis. Lancet. 2014;383(9922):1059–66.

    PubMed  Google Scholar 

  37. Ballin M, Nordström P, Niklasson J, Alamäki A, Condell J, Tedesco S, et al. Daily step count and incident diabetes in community-dwelling 70-year-olds: a prospective cohort study. BMC Public Health. 2020;20(1):1–10.

    Google Scholar 

  38. Kraus WE, Yates T, Tuomilehto J, Sun J-L, Thomas L, McMurray JJ, et al. Relationship between baseline physical activity assessed by pedometer count and new-onset diabetes in the NAVIGATOR trial. BMJ Open Diabetes Res Care. 2018;6(1):e000523.

    PubMed  PubMed Central  Google Scholar 

  39. Ponsonby A-L, Sun C, Ukoumunne OC, Pezic A, Venn A, Shaw JE, et al. Objectively measured physical activity and the subsequent risk of incident dysglycemia: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care. 2011;34(7):1497–502.

    PubMed  PubMed Central  Google Scholar 

  40. Dwyer T, Ponsonby A-L, Ukoumunne OC, Pezic A, Venn A, Dunstan D, et al. Association of change in daily step count over five years with insulin sensitivity and adiposity: population based cohort study. BMJ. 2011;342:c7249.

    CAS  PubMed  Google Scholar 

  41. Herzig K, Ahola R, Leppäluoto J, Jokelainen J, Jämsä T, Keinänen-Kiukaanniemi S. Light physical activity determined by a motion sensor decreases insulin resistance, improves lipid homeostasis and reduces visceral fat in high-risk subjects: PreDiabEx study RCT. Int J Obes. 2014;38(8):1089–96.

    CAS  Google Scholar 

  42. Yates T, Davies M, Gorely T, Bull F, Khunti K. Effectiveness of a pragmatic education program designed to promote walking activity in individuals with impaired glucose tolerance: a randomized controlled trial. Diabetes Care. 2009;32(8):1404–10.

    PubMed  PubMed Central  Google Scholar 

  43. Keadle SK, Shiroma EJ, Kamada M, Matthews CE, Harris TB, Lee I-M. Reproducibility of accelerometer-assessed physical activity and sedentary time. Am J Prev Med. 2017;52(4):541–8.

    PubMed  PubMed Central  Google Scholar 

  44. Saint-Maurice PF, Sampson JN, Keadle SK, Willis EA, Troiano RP, Matthews CE. Reproducibility of accelerometer and posture-derived measures of physical activity. Med Sci Sports Exerc. 2020;52(4):876–83.

    CAS  PubMed  PubMed Central  Google Scholar 

  45. Bassett DR, Toth LP, LaMunion SR, Crouter SE. Step counting: a review of measurement considerations and health-related applications. Sports Med. 2017;47(7):1303–15.

    PubMed  Google Scholar 

  46. Strath SJ, Kaminsky LA, Ainsworth BE, Ekelund U, Freedson PS, Gary RA, et al. Guide to the assessment of physical activity: clinical and research applications: a scientific statement from the American Heart Association. Circulation. 2013;128(20):2259–79.

    PubMed  Google Scholar 

  47. Rosenberger ME, Buman MP, Haskell WL, McConnell MV, Carstensen LL. 24 hours of sleep, sedentary behavior, and physical activity with nine wearable devices. Med Sci Sports Exerc. 2016;48(3):457.

    PubMed  PubMed Central  Google Scholar 

  48. Toth LP, Park S, Springer CM, Feyerabend MD, Steeves JA, Bassett DR. Video-recorded validation of wearable step counters under free-living conditions. Med Sci Sports Exerc. 2018;50(6):1315–22.

    PubMed  Google Scholar 

  49. Campos C, DePaul VG, Knorr S, Wong JS, Mansfield A, Patterson KK. Validity of the ActiGraph activity monitor for individuals who walk slowly post-stroke. Top Stroke Rehabil. 2018;25(4):295–304.

    PubMed  Google Scholar 

  50. Feito Y, Bassett DR, Thompson DL. Evaluation of activity monitors in controlled and free-living environments. Med Sci Sports Exerc. 2012;44(4):733–41.

    PubMed  Google Scholar 

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Correspondence to Sakineh Shab-Bidar.

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Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflict of interest

Ahmad Jayedi, Ali Gohari, and Sakineh Shab-bidar declare that they have no conflict of interest.

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The authors’ responsibilities were as follows—AJ and SS-B: designed research; AJ and SS-B: performed the literature search, screened articles, extracted data, and wrote the paper; AJ: analyzed data and interpreted the results; SS-B and AG: revised the subsequent draft for important intellectual content; SS-B is the guarantor; and all authors have read and approved the final manuscript.

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Jayedi, A., Gohari, A. & Shab-Bidar, S. Daily Step Count and All-Cause Mortality: A Dose–Response Meta-analysis of Prospective Cohort Studies. Sports Med 52, 89–99 (2022). https://doi.org/10.1007/s40279-021-01536-4

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