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Why Do Pedometers Work?

A Reflection upon the Factors Related to Successfully Increasing Physical Activity

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Abstract

The results of two recent independent meta-analyses focused on pedometerbased programmes conclude that they work; that is, they are effective. Specifically, physical activity increases while blood pressure and weight decrease as a result of participating in a pedometer-based intervention. An improved understanding of the unique measurement and motivational properties of pedometers as behaviour-change tools will assist researchers and practitioners to maximize benefits. In an effort to begin to outline why pedometers work, for whom, and under what conditions, the purpose of this current opinion article is to explore the published literature (drawing heavily from those studies previously identified in published meta-analyses and our own work in this area) to identify factors related to using pedometers to increase physical activity. In particular it is important to: (i) gain a better understanding of the activitypromoting characteristics of pedometers; (ii) determine effective elements of pedometer-based programming; and (iii) identify participants who engage in, and benefit most from, such programming. Pedometers are most sensitive to walking behaviours, which is consistent with public health and clinical approaches to increasing physical activity. Specifically, they offer an affordable and accessible technology that is simplistic in output, low-literacy friendly, and immediately understandable to end-users. Support materials are becoming readily available for researchers and practitioners in terms of expected (normative or benchmark) values, patterns of change, indices to aid screening and interpretation, and measurement protocols. Pedometer-based programme theory is now being articulated and tested, and the critical elements necessary to shape a successful programme are becoming more clearly defined. More research is needed, however, to compare the effectiveness of self-selected individualized goals with tailored goals (based on a specified baseline characteristic, for example), standardized goals (e.g. percentage-based increments) and pre-set uniformly administered goals (i.e. a volume total of 10 000 steps/ day or an incremental total of 2000 extra steps/day for everyone). Since most studies of pedometer-based programmes have been of relatively short duration, it is unknown to what extent observed changes are sustainable or whether it is possible to continue to accrue benefits over long-term adherence. Peer delivery of treatment has the potential for enabling wider and less costly dissemination, although this has not been directly evaluated. In addition, the majority of pedometer-based programme participants to date have been women, suggesting that more research is needed onmen and how they react to this form of physical activity intervention. Increases in steps/day have been negatively correlated with baseline values, indicating that those with lower baseline steps/day stand to make the greatest relative incremental increases in physical activity behaviour. A clearly articulated programme theory is lacking in most interventions. A clearer understanding is needed of what programme features, including the nature of goal-setting, are necessary for optimal participant success. Additionally, we need a better profile of the participant who benefits most, and/or requires additional or alternative strategies to succeed in their personal behaviour-change attempts. Continued efforts to refine answers regarding what works well for whom under what conditions will foster evidencebased applications of pedometer-based programmes.

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References

  1. Richardson CR, Newton TL, Abraham JJ, et al. A metaanalysis of pedometer-based walking interventions and weight loss. Ann Fam Med 2008 Jan-Feb; 6 (1): 69–77

    Article  PubMed  PubMed Central  Google Scholar 

  2. Bravata DM, Smith-Spangler C, Sundaram V, et al. Using pedometers to increase physical activity and improve health: a systematic review. JAMA 2007 Nov 21; 298 (19): 2296–304

    Article  CAS  PubMed  Google Scholar 

  3. Tudor-Locke C, Myers AM, Rodger NW. Development of a theory-based daily activity intervention for individuals with type 2 diabetes. Diabetes Educ 2001 Jan-Feb; 27 (1): 85–93

    Article  CAS  PubMed  Google Scholar 

  4. Painter JE, Borba CP, Hynes M, et al. The use of theory in health behavior research from 2000 to 2005: a systematic review. Ann Behav Med 2008 Jun; 35 (3): 358–62

    Article  PubMed  Google Scholar 

  5. Siegel PZ, Brackbill RM, Heath GW. The epidemiology of walking for exercise: implications for promoting activity among sedentary groups. Am J Public Health 1995 May; 85 (5): 706–10

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Rafferty AP, Reeves MJ, McGee HB, et al. Physical activity patterns among walkers and compliance with public health recommendations. Med Sci Sports Exerc 2002 Aug; 34 (8): 1255–61

    Article  PubMed  Google Scholar 

  7. Tudor-Locke C, Ham SA. Walking behaviors reported in the American Time Use Survey 2003–2005. J Phys Act Health 2008 Sep; 5 (5): 633–47

    Article  PubMed  Google Scholar 

  8. Le Masurier GC, Tudor-Locke C. Comparison of pedometer and accelerometer accuracy under controlled conditions. Med Sci Sports Exerc 2003 May; 35 (5): 867–71

    Article  PubMed  Google Scholar 

  9. Schneider PL, Crouter SE, Lukajic O, et al. Accuracy and reliability of 10 pedometers for measuring steps over a s400-mwalk. Med Sci Sports Exerc 2003 Oct; 35 (10): 1779–84

    Article  PubMed  Google Scholar 

  10. Le Masurier GC, Lee SM, Tudor-Locke C. Motion sensor accuracy under controlled and free-living conditions. Med Sci Sports Exerc 2004 May; 36 (5): 905–10

    Article  PubMed  Google Scholar 

  11. Melanson EL, Knoll JR, Bell ML, et al. Commercially available pedometers: considerations for accurate step counting. Prev Med 2004 Aug; 39 (2): 361–8

    Article  PubMed  Google Scholar 

  12. Schneider PL, Crouter SE, Bassett DR. Pedometer measures of free-living physical activity: comparison of 13 models. Med Sci Sports Exerc 2004 Feb; 36 (2): 331–5

    Article  PubMed  Google Scholar 

  13. Tudor-Locke C, Sisson SB, Lee SM, et al. Evaluation of quality of commercial pedometers. Can J Public Health 2006 Mar-Apr; 97 Suppl. 1: S10–5, S10-6

    Google Scholar 

  14. Ham SA, Kruger J, Tudor-Locke C. Participation by US adults in sports, exercise, and recreational physical activities. J Phys Act Health 2009; 6: 1–10

    Article  Google Scholar 

  15. Kriska A. Ethnic and cultural issues in assessing physical activity. Res Q Exerc Sport 2000 Jun; 71 (2 Suppl.): S47–53

    Article  PubMed  Google Scholar 

  16. Miller R, Brown W, Tudor-Locke C. But what about swimming and cycling? How to ‘count’ non-ambulatory activity when using pedometers to assess physical activity. J Phys Act Health 2006; 3 (3): 257–66

    Google Scholar 

  17. Crouter SE, Schneider PL, Bassett Jr DR. Spring-levered versus piezo-electric pedometer accuracy in overweight and obese adults. Med Sci Sports Exerc 2005 Oct; 37 (10): 1673–9

    Article  PubMed  Google Scholar 

  18. Swartz AM, Bassett Jr DR, Moore JB, et al. Effects of body mass index on the accuracy of an electronic pedometer. Int J Sports Med 2003 Nov; 24 (8): 588–92

    Article  CAS  PubMed  Google Scholar 

  19. Lauzon N, Chan CB, Myers AM, et al. Participant experiences in a workplace pedometer-based physical activity program. J Phys Act Health 2008; 5 (5): 675–87

    Article  PubMed  Google Scholar 

  20. Heesch KC, Dinger MK, McClary KR, et al. Experiences of women in a minimal contact pedometer-based intervention: a qualitative study. Women Health 2005; 41 (2): 97–116

    Article  PubMed  Google Scholar 

  21. Tudor-Locke C, Myers AM, Rodger NW. Formative evaluation of the First Step Program: a practical intervention to increase daily physical activity. Can J Diab Care 2000; 47 (1): 23–8

    Google Scholar 

  22. Crouter SE, Schneider PL, Karabulut M, et al. Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Med Sci Sports Exerc 2003 Aug; 35 (8): 1455–60

    Article  PubMed  Google Scholar 

  23. Tudor-Locke C. Taking steps toward increased physical activity: using pedometers to measure and motivate. Res Digest 2002; 3 (17): 1–8

    Google Scholar 

  24. Bohannon RW. Number of pedometer-assessed steps taken per day by adults: a descriptive meta-analysis. Phys Ther 2007 Dec; 87 (12): 1642–50

    Article  PubMed  Google Scholar 

  25. Tudor-Locke C, McClain JJ, Hart TL, et al. Expected values for pedometer-determined physical activity in youth. Res Q Exerc Sport 2009 Jun: 80 (2): 164–74

    Article  PubMed  Google Scholar 

  26. Chan CB, Ryan DA, Tudor-Locke C. Health benefits of a pedometer-based physical activity intervention in sedentary workers. Prev Med 2004 Dec; 39 (6): 1215–22

    Article  PubMed  Google Scholar 

  27. Tudor-Locke C, Myers AM, Bell RC, et al. Preliminary outcome evaluation of the First Step Program: a daily physical activity intervention for individuals with type 2 diabetes. Patient Educ Couns 2002 May; 47 (1): 23–8

    Article  PubMed  Google Scholar 

  28. Tudor-Locke C, Sisson SB, Collova T, et al. Pedometer determined step count guidelines for classifying walking intensity in a young ostensibly healthy population. Can J Appl Physiol 2005 Dec; 30 (6): 666–76

    Article  PubMed  Google Scholar 

  29. Tudor-Locke C, Bassett Jr DR. How many steps/day are enough? Preliminary pedometer indices for public health. Sports Med 2004; 34 (1): 1–8

    Google Scholar 

  30. Tudor-Locke C, Hatano Y, Pangrazi RP, et al. Revisiting how many steps are enough? Med Sci Sports Exerc 2008 Jul; 40 (7 Suppl.): S537–43

    Article  Google Scholar 

  31. Tudor-Locke C, Bassett Jr DR, Rutherford WJ, et al. BMI referenced cut points for pedometer-determined steps per day in adults. J Phys Act Health 2008; 5 Suppl. 1: S126–39

    Article  Google Scholar 

  32. Tudor-Locke C, Pangrazi RP, Corbin CB, et al. BMI referenced standards for recommended pedometer determined steps/day in children. Prev Med 2004 Jun; 38 (6): 857–64

    Article  PubMed  Google Scholar 

  33. Duncan JS, Schofield G, Duncan EK. Pedometer determined physical activity and body composition in New Zealand children. Med Sci Sports Exerc 2006 Aug; 38 (8): 1402–9

    Article  PubMed  Google Scholar 

  34. Tudor-Locke C, Myers AM. Methodological considerations for researchers and practitioners using pedometers to measure physical (ambulatory) activity. Res Q Exerc Sport 2001 Mar; 72 (1): 1–12

    Article  CAS  PubMed  Google Scholar 

  35. Tudor-Locke C, McClain JJ, Hart TL, et al. Pedometry methods for assessing free-living youth. Res Q Exerc Sport 2009 Jun; 80 (2): 175–84

    Article  PubMed  Google Scholar 

  36. US Department of Health and Human Services. Physical activity and health: a report of the Surgeon General. Atlanta (GA): US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, 1996

  37. Araiza P, Hewes H, Gashetewa C, et al. Efficacy of a pedometer-based physical activity program on parameters of diabetes control in type 2 diabetes mellitus. Metabolism 2006 Oct; 55 (10): 1382–7

    Article  CAS  PubMed  Google Scholar 

  38. de Blok BM, de Greef MH, ten Hacken NH, et al. The effects of a lifestyle physical activity counseling program with feedback of a pedometer during pulmonary rehabilitation in patients with COPD: a pilot study. Patient Educ Couns 2006 Apr; 61 (1): 48–55

    Article  PubMed  Google Scholar 

  39. Butler L, Dwyer D. Pedometers may not provide a positive effect on walking activity. Health Promot J Austr 2004; 15: 134–6

    Article  Google Scholar 

  40. Croteau KA. A preliminary study on the impact of a pedometer- based intervention on daily steps. Am J Health Promot 2004 Jan-Feb; 18 (3): 217–20

    Article  PubMed  Google Scholar 

  41. Eastep E, Beveridge S, Eisenman P, et al. Does augmented feedback from pedometers increase adults’ walking behavior? Percept Mot Skills 2004 Oct; 99 (2): 392–402

    Article  PubMed  Google Scholar 

  42. Engel L, Lindner H. Impact of using a pedometer on time spent walking in older adults with type 2 diabetes. Diabetes Educ 2006 Jan-Feb; 32 (1): 98–107

    Article  PubMed  Google Scholar 

  43. Hultquist CN, Albright C, Thompson DL. Comparison of walking recommendations in previously inactive women. Med Sci Sports Exerc 2005 Apr; 37 (4): 676–83

    Article  PubMed  Google Scholar 

  44. Izawa KP, Watanabe S, Omiya K, et al. Effect of the selfmonitoring approach on exercise maintenance during cardiac rehabilitation: a randomized, controlled trial. Am J Phys Med Rehabil 2005 May; 84 (5): 313–21

    Article  PubMed  Google Scholar 

  45. Jensen GL, Roy MA, Buchanan AE, et al. Weight loss intervention for obese older women: improvements in performance and function. Obes Res 2004 Nov; 12 (11): 1814–20

    Article  PubMed  Google Scholar 

  46. Kilmer DD, Wright NC, Aitkens S. Impact of a home-based activity and dietary intervention in people with slowly progressive neuromuscular diseases. Arch Phys Med Rehabil 2005 Nov; 86 (11): 2150–6

    Article  PubMed  Google Scholar 

  47. Koulouri AA, Tigbe WW, Lean ME. The effect of advice to walk 2000 extra steps daily on food intake. J Hum Nutr Diet 2006 Aug; 19 (4): 263–6

    Article  PubMed  Google Scholar 

  48. Lindberg R. Active living: on the road with the 10,000 Steps program. J Am Diet Assoc 2000 Aug; 100 (8): 878–9

    Article  CAS  PubMed  Google Scholar 

  49. Moreau KL, Degarmo R, Langley J, et al. Increasing daily walking lowers blood pressure in postmenopausal women. Med Sci Sports Exerc 2001 Nov; 33 (11): 1825–31

    Article  CAS  PubMed  Google Scholar 

  50. Ransdell LB, Robertson L, Ornes L, et al. Generations Exercising Together to Improve Fitness (GET FIT): a pilot study designed to increase physical activity and improve health-related fitness in three generations of women. Women Health 2004; 40 (3): 77–94

    Article  PubMed  Google Scholar 

  51. Schneider PL, Bassett Jr DR, Thompson DL, et al. Effects of a 10,000 steps per day goal in overweight adults. Am J Health Promot 2006 Nov-Dec; 21 (2): 85–9

    Article  PubMed  Google Scholar 

  52. Sidman CL, Corbin CB, Le Masurier G. Promoting physical activity among sedentary women using pedometers. Res Q Exerc Sport 2004 Jun; 75 (2): 122–9

    Article  PubMed  Google Scholar 

  53. Stovitz SD, VanWormer JJ, Center BA, et al. Pedometers as a means to increase ambulatory activity for patients seen at a family medicine clinic. J Am Board Fam Pract 2005 Sep- Oct; 18 (5): 335–43

    Article  PubMed  Google Scholar 

  54. Sugiura H, Kajima K, Mirbod SM, et al. Effects of longterm moderate exercise and increase in number of daily steps on serum lipids in women: randomised controlled trial [ISRCTN21921919]. BMC Womens Health 2002; 2 (1): 3

    Article  PubMed  PubMed Central  Google Scholar 

  55. Swartz AM, Strath SJ, Bassett DR, et al. Increasing daily walking improves glucose tolerance in overweight women. Prev Med 2003 Oct; 37 (4): 356–62

    Article  CAS  PubMed  Google Scholar 

  56. Talbot LA, Gaines JM, Huynh TN, et al. A home-based pedometer-driven walking program to increase physical activity in older adults with osteoarthritis of the knee: a preliminary study. J Am Geriatr Soc 2003 Mar; 51 (3): 387–92

    Article  PubMed  Google Scholar 

  57. Thomas L, Williams M. Promoting physical activity in the workplace: using pedometers to increase daily activity levels. Health Promot J Austr 2006 Aug; 17 (2): 97–102

    Article  PubMed  Google Scholar 

  58. Tudor-Locke C, Bell RC, Myers AM, et al. Controlled outcome evaluation of the First Step Program: a daily physical activity intervention for individualswith type II diabetes. Int J Obes Relat Metab Disord 2004 Jan; 28 (1): 113–9

    Article  CAS  PubMed  Google Scholar 

  59. VanWormer JJ, Boucher JL, Pronk NP, et al. Lifestyle behavior change and coronary artery disease: effectiveness of a telephone-based counseling program. J Nutr Educ Behav 2004 Nov-Dec; 36 (6): 333–4

    Article  Google Scholar 

  60. Williams BR, Bezner J, Chesbro SB, et al. The effect of a behavioral contract on adherence to a walking program in postmenopausal African American women. Top Geriatr Rehabil 2005; 21 (4): 332–4

    Article  Google Scholar 

  61. Wilson DB, Porter JS, Parker G, et al. Anthropometric changes using a walking intervention in African American breast cancer survivors: a pilot study. Prev Chronic Dis 2005 Apr; 2 (2): A16

    Google Scholar 

  62. Wyatt HR, Peters JC, Reed GW, et al. Using electronic step counters to increase lifestyle physical activity: Colorado on the move. J Phys Act Health 2004; 1: 181–90

    Article  Google Scholar 

  63. Izawa KP, Yamada S, Oka K, et al. Long-term exercise maintenance, physical activity, and health-related quality of life after cardiac rehabilitation. Am J Phys Med Rehabil 2004 Dec; 83 (12): 884–92

    Article  PubMed  Google Scholar 

  64. Marlatt GA, Gordon JR. Relapse prevention: maintenance strategies in the treatment of addictive behaviors. New York (NY): Guilford Press, 1985

    Google Scholar 

  65. Bandura A. Social foundations of thought and action: a social-cognitive theory. Englewood Cliffs (NJ): Prentice- Hall, 1986

    Google Scholar 

  66. Richardson CR, Mehari KS, McIntyre LG, et al. A randomized trial comparing structured and lifestyle goals in an internet-mediated walking program for people with type 2 diabetes. Int J Behav Nutr Phys Act 2007; 4: 59

    Article  PubMed  PubMed Central  Google Scholar 

  67. Richardson CR, Brown BB, Foley S, et al. Feasibility of adding enhanced pedometer feedback to nutritional counseling for weight loss. J Med Internet Res 2005; 7 (5): e56

    Article  Google Scholar 

  68. Carr LJ, Bartee RT, Dorozynski C, et al. Internet-delivered behavior change program increases physical activity and improves cardiometabolic disease risk factors in sedentary adults: results of a randomized controlled trial. Prev Med 2008 May; 46 (5): 431–8

    Article  PubMed  Google Scholar 

  69. Craig CL, Tudor-Locke C, Bauman A. Twelve-month effects of Canada on the Move: a population-wide campaign to promote pedometer use and walking. Health Educ Res 2007 Jun; 22 (3): 406–13

    Article  CAS  PubMed  Google Scholar 

  70. Croteau KA. Strategies used to increase lifestyle physical activity in a pedometer-based intervention. J Allied Health 2004 Winter; 33 (4): 278–81

    PubMed  Google Scholar 

  71. Tudor-Locke C, Bassett DR, Swartz AM, et al. A preliminary study of one year of pedometer self-monitoring. Ann Behav Med 2004 Dec; 28 (3): 158–62

    Article  PubMed  Google Scholar 

  72. Tudor-Locke C, Lauzon N, Myers AM, et al. Effectiveness of the First Step Program delivered by professionals versus peers. J Phys Act Health 2009; 6: 456–62

    Article  PubMed  Google Scholar 

  73. Kroeze W, Werkman A, Brug J. A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors. Ann Behav Med 2006 Jun; 31 (3): 205–23

    Article  PubMed  Google Scholar 

  74. van den Berg MH, Schoones JW, Vliet Vlieland TP. Internetbased physical activity interventions: a systematic review of the literature. J Med Internet Res 2007; 9 (3): e26

    Article  Google Scholar 

  75. Chan CB, Tudor-Locke C. Real-world evaluation of a community-based pedometerintervention. J Phys Act Health 2008 Sep; 5 (5): 648–64

    Article  PubMed  Google Scholar 

  76. Burton NW, Walsh A, Brown WJ. It just doesn’t speak to me: mid-aged men’s reactions to ‘10,000 Steps a Day’. Health Promot J Austr 2008 Apr; 19 (1): 52–9

    Article  PubMed  Google Scholar 

  77. Tudor-Locke C, Chan CB. An exploratory analysis of adherence patterns and program completion of a pedometerbased physical activity intervention. J Phys Act Health 2006; 3 (2): 210–20

    Article  PubMed  Google Scholar 

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Acknowledgments

No sources of funding were used to assist in the preparation of this article. Dr Tudor-Locke receives royalties from the sale of a self-help book focused on using pedometers to increase physical activity. The authors have no other conflicts of interest that are directly relevant to the content of this article.

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Correspondence to Catrine Tudor-Locke.

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Tudor-Locke, C., Lutes, L. Why Do Pedometers Work?. Sports Med 39, 981–993 (2009). https://doi.org/10.2165/11319600-000000000-00000

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