Feasibility and Acceptability of Chatbots for Nutrition and Physical Activity Health Promotion Among Adolescents: Systematic Scoping Review With Adolescent Consultation

Journals

1. Ashton L, Adam M, Whatnall M, Rollo M, Burrows T, Hansen V, Collins C. Exploring the design and utility of an integrated web-based chatbot for young adults to support healthy eating: a qualitative study. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
2. Boesch M, Baty F, Rassouli F, Kowatsch T, Joerger M, Früh M, Brutsche M. Non-pharmaceutical interventions to optimize cancer immunotherapy. OncoImmunology 2023;12(1) View
3. Kirk D, van Eijnatten E, Camps G, Gumpricht E. Comparison of Answers between ChatGPT and Human Dieticians to Common Nutrition Questions. Journal of Nutrition and Metabolism 2023;2023:1 View
4. Kiuchi K, Otsu K, Hayashi Y. Psychological insights into the research and practice of embodied conversational agents, chatbots and social assistive robots: a systematic meta-review. Behaviour & Information Technology 2024;43(15):3696 View
5. Mandoh M, Raeside R, Todd A, Redfern J, Mihrshahi S, Cheng H, Phongsavan P, Partridge S. Evaluating the effect of a 12-month youth advisory group on adolescent’s leadership skills and perceptions related to chronic disease prevention research: a mixed-methods study. BMC Public Health 2023;23(1) View
6. Peuters C, Maenhout L, Cardon G, De Paepe A, DeSmet A, Lauwerier E, Leta K, Crombez G. A mobile healthy lifestyle intervention to promote mental health in adolescence: a mixed-methods evaluation. BMC Public Health 2024;24(1) View
7. Aiumtrakul N, Thongprayoon C, Arayangkool C, Vo K, Wannaphut C, Suppadungsuk S, Krisanapan P, Garcia Valencia O, Qureshi F, Miao J, Cheungpasitporn W. Personalized Medicine in Urolithiasis: AI Chatbot-Assisted Dietary Management of Oxalate for Kidney Stone Prevention. Journal of Personalized Medicine 2024;14(1):107 View
8. Young A, Johnson M, Beattie R. The use of machine learning in paediatric nutrition. Current Opinion in Clinical Nutrition & Metabolic Care 2024;27(3):290 View
9. McBee J, Han D, Liu L, Ma L, Adjeroh D, Xu D, Hu G. Assessing ChatGPT’s Competency in Addressing Interdisciplinary Inquiries on Chatbot Uses in Sports Rehabilitation: Simulation Study. JMIR Medical Education 2024;10:e51157 View
10. Nguyen M, Sedoc J, Taylor C. Usability, Engagement, and Report Usefulness of Chatbot-Based Family Health History Data Collection: Mixed Methods Analysis. Journal of Medical Internet Research 2024;26:e55164 View
11. Tse K, Zeng M, Gibson A, Partridge S, Raeside R, Valanju R, McMahon E, Ren B, Yan F, Allman‐Farinelli M, Jia S. Retrospective analysis of regional and metropolitan school food environments using Google Street View: A case study in New South Wales, Australia with youth consultation. Health Promotion Journal of Australia 2025;36(2) View
12. Yang F, Wang C, Lindsey M, An R. Use of Artificial-Intelligence-Based Chatbots to Promote Physical Activity: A Systematic Review of Interventions. Kinesiology Review 2025;14(1):80 View
13. Andrews J, Shifren R, Wahl R, Parent-Johnson W, Klewer S. A mixed methods exploratory study assessing youth knowledge, self-efficacy and mental health outcomes in transition to adult healthcare. Health Care Transitions 2025;3:100096 View
14. Betolin-Schermann D, Shinan-Altman S. A cross-cultural examination of physical activity and healthy food consumption among Ethiopian immigrants in Israel and the general population in regard to type 2 diabetes. Psychology, Health & Medicine 2025;30(8):1723 View
15. Yang J, Casey A, Cale L. The role of healthy lifestyle technologies in supporting young adults’ healthy active lifestyles. Sport, Education and Society 2025:1 View
16. Lobczowska K, Kulis E, Banik A, Siwa M, Boberska M, Szczuka Z, Zaleskiewicz H, Wietrzykowska D, Krzywicka P, Misiakowska J, Kornafel A, Kuzminska J, Paduszynska N, Zalewska-Lunkiewicz K, Luszczynska A. Implementers’ perceptions of barriers and facilitators in the implementation setting is associated with physical activity changes among participants of a planning intervention. Psychology & Health 2025:1 View
17. Chen J, Hu R, Zhuang Y, Zhang J, Shan R, Yang Y, Liu Z. Natural Language Processing Chatbot–Based Interventions for Improvement of Diet, Physical Activity, and Tobacco Smoking Behaviors: Systematic Review. JMIR mHealth and uHealth 2025;13:e66403 View
18. Metin Karaaslan M, Basaran B. Dietary Acrylamide Exposure and Its Correlation with Nutrition and Exercise Behaviours Among Turkish Adolescents. Nutrients 2025;17(15):2534 View
19. Lim S, Yang Q, Meng J, Rains S. The role of communication in health-focused conversational AI: a review of systematic reviews examining conversational features, design characteristics, and interaction functions. Behaviour & Information Technology 2025:1 View
20. Harding N, Bovopoulos N, Caspi D, Martin C, McPhie S, Bouadjenek M, Aryal S, Hobbs M. A Scoping Review of Large Language Model Chatbot Use for Alcohol and Other Drug Health Information. Drug and Alcohol Review 2025 View

Books/Policy Documents

1. Karki S, Pokhrel S, Thakuri S, Chhetry A, Singh Y. Advances in Machine Learning and Big Data Analytics II. View

Conference Proceedings

1. Natarajan B, Harini S, Fathima M, Subhashini S. 2024 4th International Conference on Soft Computing for Security Applications (ICSCSA). Nutrition and Food Suggestions for Healthcare using Chatbot View
2. Dewanti L, Sitoayu L, Melani V. 2025 4th International Conference on Creative Communication and Innovative Technology (ICCIT). Feasibility of a Digital Platform for Enhancing Nutrition Counseling Education and Public Health Access View
3. S J, A A, S S, C S, S J, P F. 2025 3rd International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). AI-based Chatbot for Daily Activity and Healthy Life View