Certified into the record
The exact text we saved
This is the version exactly as it was saved, character for character. The SHA-256 hash below is a 64-character code worked out from that text. Run the same text through SHA-256 and you get the same code; change a single letter and the code comes out completely different. Each version also stores the previous version’s hash, which chains them together so no version can be swapped out quietly.
TRUVACE RECORD VERSION record: TRV-2026-2741 version: 1 kind: certified reason: Certified into the record timestamp: 2026-11-12T17:17:36.854958Z status: published lens: g_space sector: health headline: 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 dek: 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… gain_title: 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). problem_title: (none) trace_subject: (none) gain_reading: 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). gain_evidence: The chatbot-based EIs significantly enhanced PA compared to control groups (SMD = 0.20, 95% CI = 0.04–0.37, p = 0.02; I² = 51%, p = 0.04). problem_reading: (none) problem_evidence: (none) quick_read: A systematic review and meta-analysis pooled 12 randomized controlled trials run between 2013 and 2024, covering 2,446 participants and 240 parent-child dyads aged 8 to 71. Chatbot-based exercise interventions raised physical activity compared with control groups, with a standardized mean difference of 0.20 (95% CI 0.04–0.37). The effect is small. Chatbots did not significantly change exercise habits overall (SMD 0.29, 95% CI −0.48 to 1.06) or reduce sedentary behavior (SMD 0.32, 95% CI −0.54 to 1.19). A subgroup analysis did find a small short-term increase in exercise habits (SMD 0.29, 95% CI 0.08–0.50). The authors say chatbots look most promising for moderate to vigorous physical activity. They call for larger trials, low-resource settings, accelerometer-measured sedentary time, longer follow-up, and tests of newer tools such as ChatGPT. limitation: 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. tag: Evidence-backed gain key_points: The review searched Embase, Web of Science, PubMed and Cochrane for studies published from January 2010 to October 2024. | Twelve randomized trials from 2013 to 2024 were included, with 2,446 participants and 240 parent-child dyads. | Participants ranged in age from 8 to 71 years. | Physical activity rose significantly versus controls (SMD 0.20, 95% CI 0.04–0.37, p = 0.02), with moderate heterogeneity (I² = 51%). | Overall exercise habits did not change significantly (SMD 0.29, 95% CI −0.48 to 1.06, p = 0.46). | Sedentary behavior did not fall significantly (SMD 0.32, 95% CI −0.54 to 1.19, p = 0.46). | A subgroup analysis found a small, significant short-term increase in exercise habits (SMD 0.29, 95% CI 0.08–0.50, p = 0.006). rundown: The authors searched four databases for randomized controlled trials of chatbot-based exercise interventions published from January 2010 to October 2024. They analyzed the characteristics of the studies and the chatbots, then pooled results for physical activity, exercise habits and sedentary behavior. The review was registered in PROSPERO (CRD42024609852). Twelve studies met the criteria. Pooled results showed a significant gain in physical activity over control groups, with moderate heterogeneity across trials. Exercise habits and sedentary behavior showed no significant overall effect, and the confidence intervals for both were wide. Subgroup analyses were run to look for modifying effects and found a short-term rise in exercise habits. The authors conclude chatbots appear promising for physical activity, especially moderate to vigorous activity, and recommend trials with more diverse chatbot designs, larger samples, low-resource settings and longer follow-up. sources: - peer_reviewed | DIGITAL HEALTH | https://doi.org/10.1177/20552076251353731 | 2025-05-01 prev: 0000000000000000000000000000000000000000000000000000000000000000
- SHA-256 hash
- 5b9ff0896886637a51045d84828088618ebac18023f606fd3c16150bad19a88a
- Previous version’s hash
- 0000000000000000000000000000000000000000000000000000000000000000
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