Literature DB >> 19902981

Why do pedometers work?: a reflection upon the factors related to successfully increasing physical activity.

Catrine Tudor-Locke1, Lesley Lutes.   

Abstract

The results of two recent independent meta-analyses focused on pedometer-based 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 activity-promoting 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 on men 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 evidence-based applications of pedometer-based programmes.

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Year:  2009        PMID: 19902981     DOI: 10.2165/11319600-000000000-00000

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  69 in total

1.  Lifestyle behavior change and coronary artery disease: effectiveness of a telephone-based counseling program.

Authors:  Jeffrey J VanWormer; Jackie L Boucher; Nicolaas P Pronk; Jolene J Thoennes
Journal:  J Nutr Educ Behav       Date:  2004 Nov-Dec       Impact factor: 3.045

2.  Impact of using a pedometer on time spent walking in older adults with type 2 diabetes.

Authors:  Lisa Engel; Helen Lindner
Journal:  Diabetes Educ       Date:  2006 Jan-Feb       Impact factor: 2.140

3.  Walking behaviors reported in the American Time Use Survey 2003-2005.

Authors:  Catrine Tudor-Locke; Sandra A Ham
Journal:  J Phys Act Health       Date:  2008-09

4.  Ethnic and cultural issues in assessing physical activity.

Authors:  A Kriska
Journal:  Res Q Exerc Sport       Date:  2000-06       Impact factor: 2.500

5.  Pedometers as a means to increase ambulatory activity for patients seen at a family medicine clinic.

Authors:  Steven D Stovitz; Jeffrey J VanWormer; Bruce A Center; Karin Lindstrom Bremer
Journal:  J Am Board Fam Pract       Date:  2005 Sep-Oct

6.  The effects of a lifestyle physical activity counseling program with feedback of a pedometer during pulmonary rehabilitation in patients with COPD: a pilot study.

Authors:  Bertine M J de Blok; Mathieu H G de Greef; Nick H T ten Hacken; Siska R Sprenger; Klaas Postema; Johan B Wempe
Journal:  Patient Educ Couns       Date:  2006-02-07

7.  Preliminary outcome evaluation of the First Step Program: a daily physical activity intervention for individuals with type 2 diabetes.

Authors:  Catrine E Tudor-Locke; Anita M Myers; Rhonda C Bell; Stewart B Harris; N Wilson Rodger
Journal:  Patient Educ Couns       Date:  2002-05

8.  BMI-referenced standards for recommended pedometer-determined steps/day in children.

Authors:  Catrine Tudor-Locke; Robert P Pangrazi; Charles B Corbin; William J Rutherford; Susan D Vincent; Anders Raustorp; L Michaud Tomson; Thomas F Cuddihy
Journal:  Prev Med       Date:  2004-06       Impact factor: 4.018

9.  A meta-analysis of pedometer-based walking interventions and weight loss.

Authors:  Caroline R Richardson; Tiffany L Newton; Jobby J Abraham; Ananda Sen; Masahito Jimbo; Ann M Swartz
Journal:  Ann Fam Med       Date:  2008 Jan-Feb       Impact factor: 5.166

10.  Anthropometric changes using a walking intervention in African American breast cancer survivors: a pilot study.

Authors:  Diane B Wilson; Jerlym S Porter; Gwen Parker; James Kilpatrick
Journal:  Prev Chronic Dis       Date:  2005-03-15       Impact factor: 2.830

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  63 in total

1.  Capturing ambulatory activity decline in Parkinson's disease.

Authors:  James T Cavanaugh; Terry D Ellis; Gammon M Earhart; Matthew P Ford; K Bo Foreman; Leland E Dibble
Journal:  J Neurol Phys Ther       Date:  2012-06       Impact factor: 3.649

2.  Identifying activity levels and steps of people with stroke using a novel shoe-based sensor.

Authors:  George D Fulk; S Ryan Edgar; Rebecca Bierwirth; Phil Hart; Paulo Lopez-Meyer; Edward Sazonov
Journal:  J Neurol Phys Ther       Date:  2012-06       Impact factor: 3.649

3.  Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial.

Authors:  Liam G Glynn; Patrick S Hayes; Monica Casey; Fergus Glynn; Alberto Alvarez-Iglesias; John Newell; Gearóid OLaighin; David Heaney; Martin O'Donnell; Andrew W Murphy
Journal:  Br J Gen Pract       Date:  2014-07       Impact factor: 5.386

4.  Combining Fast-Walking Training and a Step Activity Monitoring Program to Improve Daily Walking Activity After Stroke: A Preliminary Study.

Authors:  Kelly A Danks; Ryan Pohlig; Darcy S Reisman
Journal:  Arch Phys Med Rehabil       Date:  2016-05-27       Impact factor: 3.966

5.  Developing a Fitbit-supported lifestyle physical activity intervention for depressed alcohol dependent women.

Authors:  Ana M Abrantes; Claire E Blevins; Cynthia L Battle; Jennifer P Read; Alan L Gordon; Michael D Stein
Journal:  J Subst Abuse Treat       Date:  2017-07-08

6.  A Feasibility Study for Improved Physical Activity After Total Knee Arthroplasty.

Authors:  Roger J Paxton; Jeri E Forster; Matthew J Miller; Kristine L Gerron; Jennifer E Stevens-Lapsley; Cory L Christiansen
Journal:  J Aging Phys Act       Date:  2017-11-30       Impact factor: 1.961

Review 7.  Considerations for development of sensing and monitoring tools to facilitate treatment and care of persons with lower-limb loss: a review.

Authors:  Brian J Hafner; Joan E Sanders
Journal:  J Rehabil Res Dev       Date:  2014

Review 8.  The Impact of Interventions that Integrate Accelerometers on Physical Activity and Weight Loss: A Systematic Review.

Authors:  Adam P Goode; Katherine S Hall; Bryan C Batch; Kim M Huffman; S Nicole Hastings; Kelli D Allen; Ryan J Shaw; Frances A Kanach; Jennifer R McDuffie; Andrzej S Kosinski; John W Williams; Jennifer M Gierisch
Journal:  Ann Behav Med       Date:  2017-02

9.  Can weight loss improve migraine headaches in obese women? Rationale and design of the Women's Health and Migraine (WHAM) randomized controlled trial.

Authors:  Dale S Bond; Kevin C O'Leary; J Graham Thomas; Richard B Lipton; George D Papandonatos; Julie Roth; Lucille Rathier; Richard Daniello; Rena R Wing
Journal:  Contemp Clin Trials       Date:  2013-03-22       Impact factor: 2.226

10.  Steps to Better Cardiovascular Health: How Many Steps Does It Take to Achieve Good Health and How Confident Are We in This Number?

Authors:  Catrine Tudor-Locke
Journal:  Curr Cardiovasc Risk Rep       Date:  2010-04-30
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