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Systematic review and meta-analysis of the effectiveness of chatbots on lifestyle behaviours.

作者信息

Singh Ben, Olds Timothy, Brinsley Jacinta, Dumuid Dot, Virgara Rosa, Matricciani Lisa, Watson Amanda, Szeto Kimberley, Eglitis Emily, Miatke Aaron, Simpson Catherine E M, Vandelanotte Corneel, Maher Carol

机构信息

Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA, Australia.

School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia.

出版信息

NPJ Digit Med. 2023 Jun 23;6(1):118. doi: 10.1038/s41746-023-00856-1.


DOI:10.1038/s41746-023-00856-1
PMID:37353578
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10290125/
Abstract

Chatbots (also known as conversational agents and virtual assistants) offer the potential to deliver healthcare in an efficient, appealing and personalised manner. The purpose of this systematic review and meta-analysis was to evaluate the efficacy of chatbot interventions designed to improve physical activity, diet and sleep. Electronic databases were searched for randomised and non-randomised controlled trials, and pre-post trials that evaluated chatbot interventions targeting physical activity, diet and/or sleep, published before 1 September 2022. Outcomes were total physical activity, steps, moderate-to-vigorous physical activity (MVPA), fruit and vegetable consumption, sleep quality and sleep duration. Standardised mean differences (SMD) were calculated to compare intervention effects. Subgroup analyses were conducted to assess chatbot type, intervention type, duration, output and use of artificial intelligence. Risk of bias was assessed using the Effective Public Health Practice Project Quality Assessment tool. Nineteen trials were included. Sample sizes ranged between 25-958, and mean participant age ranged between 9-71 years. Most interventions (n = 15, 79%) targeted physical activity, and most trials had a low-quality rating (n = 14, 74%). Meta-analysis results showed significant effects (all p < 0.05) of chatbots for increasing total physical activity (SMD = 0.28 [95% CI = 0.16, 0.40]), daily steps (SMD = 0.28 [95% CI = 0.17, 0.39]), MVPA (SMD = 0.53 [95% CI = 0.24, 0.83]), fruit and vegetable consumption (SMD = 0.59 [95% CI = 0.25, 0.93]), sleep duration (SMD = 0.44 [95% CI = 0.32, 0.55]) and sleep quality (SMD = 0.50 [95% CI = 0.09, 0.90]). Subgroup analyses showed that text-based, and artificial intelligence chatbots were more efficacious than speech/voice chatbots for fruit and vegetable consumption, and multicomponent interventions were more efficacious than chatbot-only interventions for sleep duration and sleep quality (all p < 0.05). Findings from this systematic review and meta-analysis indicate that chatbot interventions are efficacious for increasing physical activity, fruit and vegetable consumption, sleep duration and sleep quality. Chatbot interventions were efficacious across a range of populations and age groups, with both short- and longer-term interventions, and chatbot only and multicomponent interventions being efficacious.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/9d71981d8731/41746_2023_856_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/709d869c1003/41746_2023_856_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/b4c78e92636a/41746_2023_856_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/c61c2d4b1ad9/41746_2023_856_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/e3f6f4168dc2/41746_2023_856_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/9d71981d8731/41746_2023_856_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/709d869c1003/41746_2023_856_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/b4c78e92636a/41746_2023_856_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/c61c2d4b1ad9/41746_2023_856_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/e3f6f4168dc2/41746_2023_856_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be1a/10290125/9d71981d8731/41746_2023_856_Fig5_HTML.jpg

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Front Nutr. 2025-8-7

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[3]
The Effectiveness of Instant Messaging-Based Interventions on Health Behavior Change: A Systematic Review and Meta-Analysis.

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[4]
A Personalized, Texting-Based Conversational Agent to Address Sleep Disturbance in Individuals Who Have Survived Breast Cancer: Protocol for a Pilot Waitlist Randomized Controlled Trial.

JMIR Res Protoc. 2025-7-14

[5]
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.

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[6]
Think FAST: a novel framework to evaluate fidelity, accuracy, safety, and tone in conversational AI health coach dialogues.

Front Digit Health. 2025-6-18

[7]
MoveMentor-examining the effectiveness of a machine learning and app-based digital assistant to increase physical activity in adults: protocol for a randomised controlled trial.

Trials. 2025-7-1

[8]
Corrigendum to "Behaviour change techniques, intervention features and usability of diet apps" [Prevent. Med. Rep. 54 (2025) 103085].

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[9]
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[10]
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本文引用的文献

[1]
Artificial Intelligence-Based Chatbots for Promoting Health Behavioral Changes: Systematic Review.

J Med Internet Res. 2023-2-24

[2]
Efficacy of a Smartphone-Based Virtual Companion to Treat Insomniac Complaints in the General Population: Sleep Diary Monitoring Versus an Internet Autonomous Intervention.

J Clin Med. 2022-7-28

[3]
Fitbit Use and Activity Levels From Intervention to 2 Years After: Secondary Analysis of a Randomized Controlled Trial.

JMIR Mhealth Uhealth. 2022-6-30

[4]
The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes.

J Med Internet Res. 2022-6-22

[5]
The Use of Artificial Intelligence-Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations.

JMIR Med Inform. 2022-4-13

[6]
The Implementation of Behavior Change Techniques in mHealth Apps for Sleep: Systematic Review.

JMIR Mhealth Uhealth. 2022-4-4

[7]
Digital health literacy as a super determinant of health: More than simply the sum of its parts.

Internet Interv. 2022-2-7

[8]
Behaviour Change Techniques in Weight Gain Prevention Interventions in Adults of Reproductive Age: Meta-Analysis and Meta-Regression.

Nutrients. 2022-1-3

[9]
A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss.

Int J Behav Nutr Phys Act. 2021-12-11

[10]
Randomized trial of two artificial intelligence coaching interventions to increase physical activity in cancer survivors.

NPJ Digit Med. 2021-12-9

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