Moderate evidence
Published recordHealthGood Space
More
The effect of chatbot-based exercise interventions on physical activity, exercise habits, and sedentary behavior: A systematic review and meta-analysis of randomized controlled trials
- Truvace record
- TRV-2026-2741raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
- sha256
- 5b9ff0896886…check it
Objectives Chatbots, transcending the limitations of space and time while reducing user resistance, offer a personalized and autonomous approach potentially enhancing digital health interventions. This systematic review aims to quantitatively evaluate the effectiveness of chatbot-based exercise interventions (EIs) in randomized controlled trials (RCTs), emphasizing physical activity (PA), exercise habits (EH), and sedentary behavior (SB). Methods A comprehensive search was carried out across Embase, Web of Scien…
The gain
A meta-analysis of 12 randomized trials with 2,446 participants found chatbot-based exercise interventions raised physical activity more than control groups did (SMD 0.20, 95% CI 0.04–0.37).
What this doesn’t fix
The authors say more trials are needed with larger samples, low-resource settings, objective measures of sedentary behavior such as accelerometers, and longer follow-up before the findings can be corroborated.
Sources
1 on file- DIGITAL HEALTHdoi:10.1177/20552076251353731
What the review found when it combined the studies
These are the review’s own pooled results, copied from its abstract. Truvace did not recalculate them.
Sedentary time with chatbot-based exercise interventions compared with control groups
SMD 0.32 (95% CI −0.54 to 1.19)
12 studies · 2,446 people · search to October 2024
The review’s own words
The analysis indicated that chatbot-based interventions were not associated with a significant reduction in sedentary time relative to control groups (SMD = 0.32, 95% CI = −0.54–1.19, p = 0.46; I² = 0%, p = 0.91).
Exercise habits with chatbot-based exercise interventions compared with control groups
SMD 0.29 (95% CI −0.48 to 1.06)
12 studies · 2,446 people · search to October 2024
The review’s own words
The difference observed was not statistically significant (SMD = 0.29, 95% CI = −0.48–1.06, p = 0.46; I² = 54%, p = 0.11).
Moderate to vigorous physical activity with chatbot-based exercise interventions compared with controls
SMD 0.26 (95% CI 0.05 to 0.46)
search to October 2024
The review’s own words
A pronounced effect was noted in the subgroup engaging in MVPA, where the intervention group demonstrated a significant increase compared to controls (SMD = 0.26, 95% CI = 0.05–0.46, p < 0.05 ).
Short-term physical activity (8 weeks or less) with chatbot-based exercise interventions compared with controls
SMD 0.29 (95% CI 0.08 to 0.50)
search to October 2024
The review’s own words
In the analysis stratified by duration, the chat-based EI was linked with a modest increase in PA in the short term (SMD = 0.29, 95% CI = 0.08–0.50, p < 0.05 ), which had statistical significance ( p < 0.05; see Figure 4 ).
Physical activity with chatbot-based exercise interventions compared with control groups
SMD 0.20 (95% CI 0.04 to 0.37)
12 studies · 2,446 people · search to October 2024
The review’s own words
The chatbot-based EI significantly improved PA compared to the control group, as indicated by a standardized mean difference (SMD = 0.20, 95% CI = 0.04–0.37, p < 0.05 ; I² = 51%, p = 0.04; Figure 3 ).
Code checks every number above against the review’s text before it is shown. The short labels are an AI model’s reading of that text, so the review’s own sentence sits under each one. A pooled figure is only as strong as the studies behind it. How Truvace uses pooled results
Cite this record
v1Truvace Impact Record TRV-2026-2741, v1: “The effect of chatbot-based exercise interventions on physical activity, exercise habits, and sedentary behavior: A systematic review and meta-analysis of randomized controlled trials.” Truvace, 2026-11-12. /record/TRV-2026-2741 (accessed on the day you copy it). sha256 5b9ff0896886637a…
Change history
1 versionEvery change made to this record since it was first published, and why. Nothing has changed since it went up.
Certified into the record
Check this record hasn’t been altered
How to check it yourself, without trusting this page
Download any version from /api/record/TRV-2026-2741 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.
ace