Evidence map›Paper›PMID 40656859›Full record

ReviewDigital health

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.

Qian Wang, Wenxian Yang, Kai Xu, Lawrence T Lam

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Qian WangFaculty of Medicine, Macau University of Science and Technology, Macau SAR, China.ORCID https://orcid.org/0009-0005-2772-8127
Wenxian YangJiangsu Research Institute of Sports Science, Nanjing, China.ORCID https://orcid.org/0009-0007-2451-4750
Kai XuNanjing Sport Institute, Nanjing, China.ORCID https://orcid.org/0000-0002-5849-2664
Lawrence T LamFaculty of Medicine, Macau University of Science and Technology, Macau SAR, China.ORCID https://orcid.org/0000-0001-6183-6854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 Science, PubMed, and Cochrane databases for studies published from January 2010 to October 2024. The characteristics of the included studies and the employed chatbots were analyzed. A meta-analysis was performed to synthesize the impact of chatbot-based EIs on PA, EH, and SB. We carried out subgroup analyses (SAs) for investigating potential modifying effects. Results: This review includes 12 studies conducted between 2013 and 2024, encompassing 2446 participants and 240 parent-child dyads, with participant ages ranging from 8 to 71 years. The chatbot-based EIs significantly enhanced PA compared to control groups (SMD = 0.20, 95% CI = 0.04-0.37, Conclusion: Chatbot-based EIs appear promising in improving PA, particularly moderate to vigorous PA (MVPA). Nonetheless, further RCTs with diverse chatbot designs, larger sample sizes, low-resource settings, objective measures of SB (e.g., accelerometers), and extended follow-ups are essential to corroborate these findings. Future research should also explore the adaptation of chatbots to various socioeconomic and cultural contexts and the integration of technologies like ChatGPT into EIs.

Indexed as

Chatbotexercise habitexercise interventionphysical activitysedentary behavior

Identifiers

PMID40656859
PMCPMC12254675

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.