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Cited by 84Physical Activity and HealthContext-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Effect of wrist-worn activity monitor feedback on physical activity behavior: A randomized controlled trial in Finnish young men

Open access
Jauho, Anna-Maiju, Pyky, Riitta, Ahola, Riikka, Kangas, Maarit, Virtanen, Paula, Korpelainen, Raija, Jämsä, Timo·2015·Preventive Medicine Reports
DOI 10.1016/j.pmedr.2015.07.005PMC PMC4721342
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Abstract

UNLABELLED: The purpose of this study is to evaluate whether the use of an activity monitor providing feedback has an effect on physical activity (PA) in young men. A population-based sample of 276 conscription-aged (mean = 17.9, SD = 0.7 years) men participated in a 3-month randomized controlled trial in Oulu in 2012. Participants were randomized to an intervention group (INT, N = 137) and a control group (CON, N = 139). INT received a wrist-worn monitor (Polar Active) showing daily activity, and CON received identical monitors without feedback. Main outcome was the change from baseline in objectively measured weekly time spent in moderate-to-vigorous PA (MVPA) and sedentary activity (SED), as assessed by generalized estimation equations (GEE). Other lifestyle factors were assessed by a questionnaire at baseline and at 3 months. Weekly physical activity data (≥ 4 days with ≥ 8 h each) were obtained from 72 (53%) and 90 (65%) men in the INT and CON, respectively. Based on GEE, time spent in MVPA increased (p = 0.012) and SED decreased (p = 0.032) in the INT compared with the CON. During the first 7 weeks, the INT spent on average 1 h less sedentary than the CON (t-test, p < 0.05). During the first week, the INT showed 12 minutes more MVPA compared to the CON (t-test, p = 0.034). Based on questionnaire data, the proportion of the most sedentary men decreased in the INT (Wilcoxon test, 28% vs. 10%, p = 0.029), with no change in the CON (20% vs. 19%, p = 0.546). To conclude, a wrist-worn activity monitor providing feedback had a short-term positive effect on PA and SED in young men. TRIAL REGISTRATION: This is a pilot study for a larger randomized controlled trial registered to the clinical trials register NCT01376986.

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  • Less time was spent in sedentary behavior for those receiving a consumer-based wearable activity tracker intervention compared with control groups; however, the finding was not significant, and the quality of the evidence was graded as very low.

    “Less time was spent in sedentary behavior for those receiving a consumer-based wearable activity tracker intervention compared with control groups; however, the finding was not significant, and the quality of the evidence was graded as very low [29,31-33,37-40].”

    From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [38]

    Split into 2 atoms — 1 confirmed, 0 partially supported, 1 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

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  • 4 studies reported low activity tracker wear time, with 1 study reporting that all participants had ceased wearing their activity tracker by the end of the intervention.

    “Furthermore, 4 studies [32,37,38,45] reported low activity tracker wear time, with 1 study [32] reporting that all participants had ceased wearing their activity tracker by the end of the intervention.”

    From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [38]

    The Discussion (page unavailable) reports 53% compliance in providing accelerometer data and says the number of participants with valid data fell by almost half by the trial’s end. That supports declining tracker-data availability, but not necessarily low wear time: the authors say some participants likely wore the monitor without downloading their data. The assertion that all participants ceased wearing a tracker is attached to a different citation, [32], not this source. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

  • 17 studies reported activity tracker adherence data, with 13 of these reporting activity tracker wear on at least 50% of the study intervention days.

    “Moreover, 17 studies reported activity tracker adherence data [21,22,30,32,34,35, 37,38,40,41,43-45,50-52,54], with 13 of these studies [21,22,30,34,35,40,41,43,44,50-52,54] reporting activity tracker wear on at least 50% of the study intervention days.”

    From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [38]

    The Results report valid monitoring days per participant, and the Discussion reports compliance with providing accelerometer data, so this study did report adherence-related data. As one trial, it cannot establish the citing sentence’s totals of 17 studies and 13 studies; its 53% compliance figure concerns participants providing data, not wear on at least 50% of intervention days. The supplied copy gives section labels but no page numbers. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

  • Management of incomplete outcome data was assessed as high risk in 2 studies [29,38].

    “The management of incomplete outcome data was assessed as high risk in 2 studies [29,38].”

    From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [38]

  • 13 studies included young adults (≤39.9 years), 15 included middle-aged adults (40-64.9 years), and 1 included adults over 65 years.

    “Thirteen studies included young adults (≤39.9 years) [30-34,37,38,42,44,46-48,50], 15 included middle-aged adults (40-64.9 years) [21,22,29,35,36,39-41, 43,45,51-54], and 1 study included adults aged over 65 years [49].”

    From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [38]

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Research works printed but not linked: 1

  1. World Health Organization Global recommendations on physical activity for health (Available at:) http://whqlibdoc.who.int/publications/2010/9789241599979_eng.pdf?ua=1 2010 (Accessed May 14 2015) 26180873

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Authors
Jauho, A.-M., Pyky, R., Ahola, R., Kangas, M., Virtanen, P., Korpelainen, R., & Jämsä, T.
Affiliations
Oulu University Hospital (FI)
ORCID
Venue
Preventive Medicine Reports
Publisher
Elsevier BV
Published
2015
Volume
2
Pages
628-634
ISSN
2211-3355 (ISSN-L)
DOI
10.1016/j.pmedr.2015.07.005
PMC
PMC4721342
OpenAlex
W1022288647
Cited by
84
References
40
Citations by year
2026: 5 · 2025: 4 · 2024: 8 · 2023: 8 · 2022: 17 · 2021: 11 · 2020: 9 · 2019: 8 · 2018: 5 · 2017: 7 · 2016: 1
FWCI
3.19
Type
journal article
Language
en
Open access
Licence
Locations
  • Preventive Medicine Reports (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Infotech Oulu
  • Opetus- ja Kulttuuriministeriö (97/627/2011, 98/627/2010, DNRO 125/627/2009)
  • Tekes
  • European Social Fund (S11580)
  • European Regional Development Fund (70035/2011, 70037/2010)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
wrist-worn activity monitors, physical activity behavior, moderate-to-vigorous physical activity, sedentary behavior, young men

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