The Impact of Different Degrees of Feedback on Physical Activity Levels: A 4-Week Intervention Study
Open accessAbstract
Assessing levels of physical activity (PA) and providing feedback about these levels might have an effect on participant’s PA behavior. This study discusses the effect of different levels of feedback—from minimal to use of a feedback display and coach—on PA over a 4-week intervention period. PA was measured at baseline, during and immediately after the intervention. Participants (n = 227) were randomly assigned to a Minimal Intervention Group (MIG-no feedback), Pedometer Group (PG-feedback on steps taken), Display Group (DG-feedback on steps, minutes of moderate to vigorous physical activity and energy expenditure) or Coaching Group (CoachG-same as DG with need-supportive coaching). Two-way ANCOVA showed no significant Group × Time interaction effect for the different PA variables between the MIG and PG. Also no differences emerged between PG and DG. As hypothesized, CoachG had higher PA values throughout the intervention compared with DG. Self-monitoring using a pedometer resulted in more steps compared with a no-feedback condition at the start of the intervention. However, adding individualized coaching seems necessary to increase the PA level until the end of the intervention.
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One further study [54] was assessed as high risk of detection bias because participants were provided with activity level feedback at each assessment with comparisons with previous results.
“One further study [54] was also assessed as a high risk of detection bias as participants were provided with activity level feedback at each assessment with comparisons with previous results.”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [54]
The Methods (2.4, page unavailable) report that participants received activity-level feedback after baseline and post-intervention assessments. But the feedback compared their levels with activity recommendations, not previous results; during the intervention, the minimal-intervention group received no feedback. The high-risk-of-bias rating is the citing authors’ assessment, not a finding reported by this study. (LLM, conf=0.86)
Experimental — accuracy not yet measured3 studies [36,48,54] were assessed as high risk for selective outcome reporting.
“In addition, 3 studies [36,48,54] were assessed as high risk for selective outcome reporting”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [54]
8 studies included more than 1 intervention group.
“Overall, 8 studies included more than 1 intervention group [34,43,45-47,52-54].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [54]
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- Authors
- Van Hoye, K., Boen, F., & Lefevre, J.
- Affiliations
- Department of Kinesiology, Physical Activity, Sports & Health Research Group, KU Leuven, Leuven 3001, Belgium
- KU Leuven (BE)
- ORCID
- Boen, Filip
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2015-06-09
- Volume
- 12
- Issue
- 6
- Pages
- 6561-6581
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC4483716
- OpenAlex
- W1655288004
- Cited by
- 30
- References
- 49
- Citations by year
- 2026: 2 · 2024: 4 · 2023: 6 · 2022: 1 · 2021: 2 · 2020: 4 · 2019: 3 · 2018: 2 · 2017: 1 · 2016: 5
- FWCI
- 1.96
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Lirias (KU Leuven) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Social Sciences › Psychology › Social Psychology › Motivation and Self-Concept in Sports
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- physical activity, feedback, pedometers, self-monitoring, coaching, moderate-to-vigorous physical activity, energy expenditure, step count, behaviour change interventions
- MeSH terms
- Adult, Aged, Belgium, Female, Humans, Male, Middle Aged, Random Allocation, Time Factors, Exercise, Feedback, Psychological, Young Adult
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