Cited by 189Mobile Health and mHealth ApplicationsPhysical Activity and HealthDigital Mental Health Interventions

Using Smartphone Technology to Monitor Physical Activity in the 10,000 Steps Program: A Matched Case–Control Trial

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Kirwan, Morwenna, Duncan, Mitch J, Vandelanotte, Corneel, Mummery, W Kerry·2012·Journal of Medical Internet Research

Abstract

BACKGROUND: Website-delivered physical activity interventions are successful in producing short-term behavior change. However, problems with engagement and retention of participants in these programs prevent long-term behavior change. New ways of accessing online content (eg, via smartphones) may enhance engagement in these interventions, which in turn may improve the effectiveness of the programs. OBJECTIVE: To measure the potential of a newly developed smartphone application to improve health behaviors in existing members of a website-delivered physical activity program (10,000 Steps, Australia). The aims of the study were to (1) examine the effect of the smartphone application on self-monitoring and self-reported physical activity levels, (2) measure the perceived usefulness and usability of the application, and (3) examine the relationship between the perceived usefulness and usability of the application and its actual use. METHODS: All participants were existing members of the 10,000 Steps program. We recruited the intervention group (n = 50) via email and instructed them to install the application on their smartphone and use it for 3 months. Participants in this group were able to log their steps by using either the smartphone application or the 10,000 Steps website. Following the study, the intervention group completed an online questionnaire assessing perceived usability and usefulness of the smartphone application. We selected control group participants (n = 150), matched for age, gender, level of self-monitoring, preintervention physical activity level, and length of membership in the 10,000 Steps program, after the intervention was completed. We collected website and smartphone usage statistics during the entire intervention period. RESULTS: Over the study period (90 days), the intervention group logged steps on an average of 62 days, compared with 41 days in the matched group. Intervention participants used the application 71.22% (2210/3103) of the time to log their steps. Logistic regression analyses revealed that use of the application was associated with an increased likelihood to log steps daily during the intervention period compared with those not using the application (odds ratio 3.56, 95% confidence interval 1.72-7.39). Additionally, use of the application was associated with an increased likelihood to log greater than 10,000 steps on each entry (odds ratio 20.64, 95% confidence interval 9.19-46.39). Linear regression analysis revealed a nonsignificant relationship between perceived usability (r = .216, P = .21) and usefulness (r = .229, P = .17) of the application and frequency of logging steps in the intervention group. CONCLUSION: Using a smartphone application as an additional delivery method to a website-delivered physical activity intervention may assist in maintaining participant engagement and behavior change. However, due to study design limitations, these outcomes should be interpreted with caution. More research, using larger samples and longer follow-up periods, is needed to replicate the findings of this study.

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References 40 · Cited by 189

Research works printed but not linked: 2

  1. [23]research2guidance The Impact Of Smartphone Applications On The Mobile Health Industry (Vol. 2) 2012 1 09 2012-03-28 Mobile Health Market Report 2011-2016 http://www.research2guidance.com/shop/index.php/downloadable/download/sample/sample_id/160/
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Authors
Kirwan, M., Duncan, M. J., Vandelanotte, C., & Mummery, W. K.
Affiliations
  • Central Queensland University (AU)
  • University of Alberta (CA)
Corresponding author
Kirwan, Morwenna
Venue
Journal of Medical Internet Research
Published
2012-04-20
Volume
14
Issue
2
Pages
e55
ISSN
1438-8871 (ISSN-L)
OpenAlex
W2017848404
Cited by
189
References
40
Citations by year
2026: 2 · 2025: 3 · 2024: 8 · 2023: 3 · 2022: 6 · 2021: 10 · 2020: 9 · 2019: 27 · 2018: 17 · 2017: 14 · 2016: 25 · 2015: 24 · 2014: 22 · 2013: 15 · 2012: 4
FWCI
36.91
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Medical Internet Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Acquire (CQUniversity) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • Queensland Health
  • National Heart Foundation of Australia (PH 07B 3303, 07B 3303)
  • Central Queensland University
  • Queensland Government
  • Medical Research Council
  • National Health and Medical Research Council
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
mobile application, physical activity monitoring, self-monitoring, step counting, perceived usefulness, perceived usability, online health interventions, participant engagement, retention, mobile health, behavior change, app usage behavior, Canada
MeSH terms
Humans, Motor Activity, Health Behavior, Case-Control Studies, Cell Phone

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