This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2871) Mobile Health (mhealth) (2939)

Published on in Vol 3, No 2 (2015): Apr-Jun

Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults

Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults

Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults

Authors of this article:

Mashfiqui Rabbi1 Author Orcid Image ;   Angela Pfammatter2 Author Orcid Image ;   Mi Zhang3 Author Orcid Image ;   Bonnie Spring2 Author Orcid Image ;   Tanzeem Choudhury1 Author Orcid Image
Article Authors Cited by (171) Tweetations (25) Metrics

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  123. Xu Z, Smit E. Using a complexity science approach to evaluate the effectiveness of just-in-time adaptive interventions: A meta-analysis. DIGITAL HEALTH 2023;9 View
  124. Waki K, Tsurutani Y, Waki H, Enomoto S, Kashiwabara K, Fujiwara A, Orime K, Kinguchi S, Yamauchi T, Hirawa N, Tamura K, Terauchi Y, Nangaku M, Ohe K. Efficacy of StepAdd, a Personalized mHealth Intervention Based on Social Cognitive Theory to Increase Physical Activity Among Patients With Type 2 Diabetes Mellitus: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e53514 View
  125. Krukowski R, Denton A, König L. Impact of feedback generation and presentation on self-monitoring behaviors, dietary intake, physical activity, and weight: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  126. Harris J, Zaki M. Neural Models for Generating Natural Language Summaries from Temporal Personal Health Data. Journal of Healthcare Informatics Research 2024;8(2):370 View
  127. Lau Y, Wong S, Chee D, Ng B, Ang W, Han C, Cheng L. Technology‐delivered personalized nutrition intervention on dietary outcomes among adults with overweight and obesity: A systematic review, meta‐analysis, and meta‐regression. Obesity Reviews 2024;25(5) View
  128. Zhou S, Levinson A, Zhang X, Portz J, Moore S, Gore M, Ford K, Li Q, Bull S. A Pilot Study and Ecological Model of Smoking Cues to Inform Mobile Health Strategies for Quitting Among Low-Income Smokers. Health Promotion Practice 2021;22(6):850 View
  129. Chan G, Nwagu C, Odenigbo I, Alslaity A, Orji R. The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile Devices. International Journal of Human–Computer Interaction 2024:1 View
  130. Lee S, Kim S, Park S. Dietary Management of Obesity. The Korean Journal of Gastroenterology 2024;83(3):87 View
  131. Chen Y, Woodward J, Shankar M, Bista D, Ugwoaba U, Brockmann A, Ross K, Ruiz J, Anthony L. MyTrack+: Human-centered design of an mHealth app to support long-term weight loss maintenance. Frontiers in Digital Health 2024;6 View
  132. Barrafrem K, Tinghög G, Västfjäll D. Behavioral and contextual determinants of different stages of saving behavior. Frontiers in Behavioral Economics 2024;3 View
  133. Idrees A, Kraft R, Mutter A, Baumeister H, Reichert M, Pryss R, Kisimbi T. Persuasive technologies design for mental and behavioral health platforms: A scoping literature review. PLOS Digital Health 2024;3(5):e0000498 View
  134. Mullick T, Shaaban S, Radovic A, Doryab A. Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized Modeling. JMIR AI 2024;3:e47805 View
  135. Bucher A, Blazek E, Symons C. How are Machine Learning and Artificial Intelligence Used in Digital Behavior Change Interventions? A Scoping Review. Mayo Clinic Proceedings: Digital Health 2024;2(3):375 View
  136. Zhu Y, Long Y, Wang H, Lee K, Zhang L, Wang S. Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review. Journal of Medical Internet Research 2024;26:e54375 View
  137. Ataguba G, Orji R. Toward the design of persuasive systems for a healthy workplace: a real-time posture detection. Frontiers in Big Data 2024;7 View
  138. Gabarron E, Larbi D, Rivera-Romero O, Denecke K. Human Factors in AI-Driven Digital Solutions for Increasing Physical Activity: Scoping Review. JMIR Human Factors 2024;11:e55964 View
  139. Coppens I, De Pessemier T, Martens L. Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial. User Modeling and User-Adapted Interaction 2024 View
  140. Fiedler J, Bergmann M, Sell S, Woll A, Stetter B. Just-in-Time Adaptive Interventions for Behavior Change in Physiological Health Outcomes and the Use Case for Knee Osteoarthritis: Systematic Review. Journal of Medical Internet Research 2024;26:e54119 View
  141. Horwitz A, Mills E, Sen S, Bohnert A. Comparative Effectiveness of Three Digital Interventions for Adults Seeking Psychiatric Services. JAMA Network Open 2024;7(7):e2422115 View
  142. Cai Y, Yu F, Kumar M, Gladney R, Mostafa J. Health Recommender Systems Development, Usage, and Evaluation from 2010 to 2022: A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(22):15115 View
  143. Klooster I, Kip H, van Gemert-Pijnen L, Crutzen R, Kelders S. A systematic review on eHealth technology personalization approaches. iScience 2024;27(9):110771 View
  144. Sabben G, Telfort C, Morales M, Zhang W, Espinoza J, Pasquel F, Winskell K. Technology and Continuous Glucose Monitoring Access, Literacy, and Use Among Patients at the Diabetes Center of an Inner-City Safety-Net Hospital: Mixed Methods Study. JMIR Diabetes 2024;9:e54223 View
  145. Hsu T, Whelan P, Gandrup J, Armitage C, Cordingley L, McBeth J. Personalized interventions for behaviour change: A scoping review of just‐in‐time adaptive interventions. British Journal of Health Psychology 2024 View
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Books/Policy Documents

  1. Cho P, Singh K, Dunn J. Artificial Intelligence in Medicine. View
  2. Wright K. The Handbook of Applied Communication Research. View
  3. McLaughlin A, Matalenas L, Coleman M. Aging, Technology and Health. View
  4. de Moraes Lopes M, Ferreira D, Ferreira A, da Silva G, Caetano A, Braz V. Artificial Intelligence in Precision Health. View
  5. Rabbi M, Hane Aung M, Choudhury T. Mobile Health. View
  6. Ofori M, El-Gayar O. Optimizing Health Monitoring Systems With Wireless Technology. View
  7. Ensari I, Elhadad N. Digital Health. View
  8. Chinnakali P, Kumar S. Principles and Application of Evidence-based Public Health Practice. View
  9. Yuasa T, Harada F, Shimakawa H. Proceedings of Eighth International Congress on Information and Communication Technology. View
  10. Werder O. Transformational Health Communication. View
  11. Mungloo-Dilmohamud Z, Jodheea-Jutton A, Khedo K, Cheerkoot-Jalim S, Nagowah L, Nagowah S, Peerally A, Baichoo S. Wireless Mobile Communication and Healthcare. View