Published on 14.05.15 in Vol 3, No 2 (2015): Apr-Jun
Works citing "Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4160):
(note that this is only a small subset of citations)
-
Naughton F, Hopewell S, Lathia N, Schalbroeck R, Brown C, Mascolo C, McEwen A, Sutton S. A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR mHealth and uHealth 2016;4(3):e106
CrossRef -
Zhao J, Freeman B, Li M. Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review. Journal of Medical Internet Research 2016;18(11):e287
CrossRef -
Huberty J, Vranceanu A, Carney C, Breus M, Gordon M, Puzia ME. Characteristics and Usage Patterns Among 12,151 Paid Subscribers of the Calm Meditation App: Cross-Sectional Survey. JMIR mHealth and uHealth 2019;7(11):e15648
CrossRef -
Schembre SM, Liao Y, Robertson MC, Dunton GF, Kerr J, Haffey ME, Burnett T, Basen-Engquist K, Hicklen RS. Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework. Journal of Medical Internet Research 2018;20(3):e106
CrossRef -
Rabbi M, Aung MS, Gay G, Reid MC, Choudhury T. Feasibility and Acceptability of Mobile Phone–Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults. Journal of Medical Internet Research 2018;20(10):e10147
CrossRef -
Chrisman M, Chow W, Daniel CR, Wu X, Zhao H. Mobile Phone Use and its Association With Sitting Time and Meeting Physical Activity Recommendations in a Mexican American Cohort. JMIR mHealth and uHealth 2016;4(2):e54
CrossRef -
Cornet VP, Holden RJ. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2018;77:120
CrossRef -
Gough A, Prior L, Kee F, Hunter RF. Physical activity and behaviour change: the role of distributed motivation. Critical Public Health 2020;30(2):153
CrossRef -
Hosseinpour M, Terlutter R. Your Personal Motivator is with You: A Systematic Review of Mobile Phone Applications Aiming at Increasing Physical Activity. Sports Medicine 2019;49(9):1425
CrossRef -
Covolo L, Ceretti E, Moneda M, Castaldi S, Gelatti U. Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials. Patient Education and Counseling 2017;100(12):2231
CrossRef -
Lee M, Lee H, Kim Y, Kim J, Cho M, Jang J, Jang H. Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature. International Journal of Environmental Research and Public Health 2018;15(12):2838
CrossRef -
Feldman DI, Theodore Robison W, Pacor JM, Caddell LC, Feldman EB, Deitz RL, Feldman T, Martin SS, Nasir K, Blaha MJ. Harnessing mHealth technologies to increase physical activity and prevent cardiovascular disease. Clinical Cardiology 2018;41(7):985
CrossRef -
Lee U, Han K, Cho H, Chung K, Hong H, Lee S, Noh Y, Park S, Carroll JM. Intelligent positive computing with mobile, wearable, and IoT devices: Literature review and research directions. Ad Hoc Networks 2019;83:8
CrossRef -
Kim Y, Oh B, Shin H. Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(1):e13273
CrossRef -
Hales S, Turner-McGrievy GM, Wilcox S, Fahim A, Davis RE, Huhns M, Valafar H. Social networks for improving healthy weight loss behaviors for overweight and obese adults: A randomized clinical trial of the social pounds off digitally (Social POD) mobile app. International Journal of Medical Informatics 2016;94:81
CrossRef -
Valle CG, Queen TL, Martin BA, Ribisl KM, Mayer DK, Tate DF. Optimizing Tailored Communications for Health Risk Assessment: A Randomized Factorial Experiment of the Effects of Expectancy Priming, Autonomy Support, and Exemplification. Journal of Medical Internet Research 2018;20(3):e63
CrossRef -
Kunkle S, Christie G, Yach D, El-Sayed AM. The Importance of Computer Science for Public Health Training: An Opportunity and Call to Action. JMIR Public Health and Surveillance 2016;2(1):e10
CrossRef -
Abu-Saad K, Murad H, Barid R, Olmer L, Ziv A, Younis-Zeidan N, Kaufman-Shriqui V, Gillon-Keren M, Rigler S, Berchenko Y, Kalter-Leibovici O. Development and Efficacy of an Electronic, Culturally Adapted Lifestyle Counseling Tool for Improving Diabetes-Related Dietary Knowledge: Randomized Controlled Trial Among Ethnic Minority Adults With Type 2 Diabetes Mellitus. Journal of Medical Internet Research 2019;21(10):e13674
CrossRef -
Iribagiza C, Sharpe T, Wilson D, Thomas EA. User-centered design of an air quality feedback technology to promote adoption of clean cookstoves. Journal of Exposure Science & Environmental Epidemiology 2020;30(6):925
CrossRef -
Siriwoen R, Chongsuwat R, Tansakul S, Siri S. Effectiveness of a Weight Management Program Applying Mobile Health Technology as a Supporting Tool for Overweight and Obese Working Women. Asia Pacific Journal of Public Health 2018;30(6):572
CrossRef -
Feter N, dos Santos TS, Caputo EL, da Silva MC. What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis. International Journal of Public Health 2019;64(5):679
CrossRef -
Hardeman W, Houghton J, Lane K, Jones A, Naughton F. A systematic review of just-in-time adaptive interventions (JITAIs) to promote physical activity. International Journal of Behavioral Nutrition and Physical Activity 2019;16(1)
CrossRef -
Samoggia A, Riedel B. Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge. Food Research International 2020;128:108766
CrossRef -
Muroff J, Robinson W. Tools of Engagement: Practical Considerations for Utilizing Technology-Based Tools in CBT Practice. Cognitive and Behavioral Practice 2022;29(1):81
CrossRef -
Lyzwinski LN, Caffery LJ, Bambling M, Edirippulige S. Consumer perspectives on mHealth for weight loss: a review of qualitative studies. Journal of Telemedicine and Telecare 2018;24(4):290
CrossRef -
Imschloss M, Lorenz J. How Mobile App Design Impacts User Responses to Mixed Self-Tracking Outcomes: Randomized Online Experiment to Explore the Role of Spatial Distance for Hedonic Editing. JMIR mHealth and uHealth 2018;6(4):e81
CrossRef -
Vogel J, Auinger A, Riedl R, Kindermann H, Helfert M, Ocenasek H, Tang D. Digitally enhanced recovery: Investigating the use of digital self-tracking for monitoring leisure time physical activity of cardiovascular disease (CVD) patients undergoing cardiac rehabilitation. PLOS ONE 2017;12(10):e0186261
CrossRef -
. Adaptive Intervention Designs to Promote Behavioral Change in Adults: What Is the Evidence?. Current Diabetes Reports 2019;19(2)
CrossRef -
Hoffmann A, Faust-Christmann CA, Zolynski G, Bleser G. Toward Gamified Pain Management Apps: Mobile Application Rating Scale–Based Quality Assessment of Pain-Mentor’s First Prototype Through an Expert Study. JMIR Formative Research 2020;4(5):e13170
CrossRef -
Miyamoto SW, Henderson S, Young HM, Pande A, Han JJ. Tracking Health Data Is Not Enough: A Qualitative Exploration of the Role of Healthcare Partnerships and mHealth Technology to Promote Physical Activity and to Sustain Behavior Change. JMIR mHealth and uHealth 2016;4(1):e5
CrossRef -
Gordon EJ, Sohn M, Chang C, McNatt G, Vera K, Beauvais N, Warren E, Mannon RB, Ison MG. Effect of a Mobile Web App on Kidney Transplant Candidates' Knowledge About Increased Risk Donor Kidneys. Transplantation 2017;101(6):1167
CrossRef -
Paruthi G, Raj S, Colabianchi N, Klasnja P, Newman MW. Finding the Sweet Spot(s). Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;2(1):1
CrossRef -
Huang Y, Benford S, Blake H. Digital Interventions to Reduce Sedentary Behaviors of Office Workers: Scoping Review. Journal of Medical Internet Research 2019;21(2):e11079
CrossRef -
Brand L, Beltran A, Hughes S, O'Connor T, Baranowski J, Nicklas T, Chen T, Dadabhoy HR, Diep CS, Buday R, Baranowski T. Assessing Feedback in a Mobile Videogame. Games for Health Journal 2016;5(3):203
CrossRef -
Villinger K, Wahl DR, Boeing H, Schupp HT, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465
CrossRef -
Conroy DE, Lagoa CM, Hekler E, Rivera DE. Engineering Person-Specific Behavioral Interventions to Promote Physical Activity. Exercise and Sport Sciences Reviews 2020;48(4):170
CrossRef -
Kim BY, Lee J. Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review. JMIR mHealth and uHealth 2017;5(5):e69
CrossRef -
Rabbi M, Li K, Yan HY, Hall K, Klasnja P, Murphy S. ReVibe. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(4):1
CrossRef -
Wongvibulsin S, Martin SS, Saria S, Zeger SL, Murphy SA. An Individualized, Data-Driven Digital Approach for Precision Behavior Change. American Journal of Lifestyle Medicine 2020;14(3):289
CrossRef -
Allen LN, Christie GP. The Emergence of Personalized Health Technology. Journal of Medical Internet Research 2016;18(5):e99
CrossRef -
Salwen-Deremer JK, Khan AS, Martin SS, Holloway BM, Coughlin JW. Incorporating Health Behavior Theory into mHealth: an Examination of Weight Loss, Dietary, and Physical Activity Interventions. Journal of Technology in Behavioral Science 2020;5(1):51
CrossRef -
Ghanvatkar S, Kankanhalli A, Rajan V. User Models for Personalized Physical Activity Interventions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11098
CrossRef -
Recio-Rodriguez JI, Agudo Conde C, Calvo-Aponte MJ, Gonzalez-Viejo N, Fernandez-Alonso C, Mendizabal-Gallastegui N, Rodriguez-Martin B, Maderuelo-Fernandez JA, Rodriguez-Sanchez E, Gomez-Marcos MA, Garcia-Ortiz L. The Effectiveness of a Smartphone Application on Modifying the Intakes of Macro and Micronutrients in Primary Care: A Randomized Controlled Trial. The EVIDENT II Study. Nutrients 2018;10(10):1473
CrossRef -
. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544
CrossRef -
Chib A, Lin SH. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909
CrossRef -
Lentferink AJ, Oldenhuis HK, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen JE. Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review. Journal of Medical Internet Research 2017;19(8):e277
CrossRef -
Milne-Ives M, Lam C, De Cock C, Van Velthoven MH, Meinert E. Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review. JMIR mHealth and uHealth 2020;8(3):e17046
CrossRef -
Dempsey W, Liao P, Klasnja P, Nahum-Shani I, Murphy SA. Randomised Trials for the Fitbit Generation. Significance 2015;12(6):20
CrossRef -
Yamamoto K, Ebara T, Matsuda F, Matsukawa T, Yamamoto N, Ishii K, Kurihara T, Yamada S, Matsuki T, Tani N, Kamijima M. Can self-monitoring mobile health apps reduce sedentary behavior? A randomized controlled trial. Journal of Occupational Health 2020;62(1)
CrossRef -
Kunkle S, Christie G, Hajat C, Yach D. The Role of the Private Sector in Tilting Health Systems Toward Chronic Disease Prevention. Global Heart 2016;11(4):451
CrossRef -
Pollard CM, Howat PA, Pratt IS, Boushey CJ, Delp EJ, Kerr DA. Preferred Tone of Nutrition Text Messages for Young Adults: Focus Group Testing. JMIR mHealth and uHealth 2016;4(1):e1
CrossRef -
Kankanhalli A, Shin J, Oh H. Mobile-Based Interventions for Dietary Behavior Change and Health Outcomes: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11312
CrossRef -
van den Boer J, van der Lee A, Zhou L, Papapanagiotou V, Diou C, Delopoulos A, Mars M. The SPLENDID Eating Detection Sensor: Development and Feasibility Study. JMIR mHealth and uHealth 2018;6(9):e170
CrossRef -
Gerrard-Longworth S, Preece SJ, Clarke-Cornwell AM, Goulermas Y. The Performance of an Algorithm for Classifying Gym-based Tasks across Individuals with Different Body Mass Index. Measurement in Physical Education and Exercise Science 2020;24(4):282
CrossRef -
Hollis V, Konrad A, Springer A, Antoun M, Antoun C, Martin R, Whittaker S. What Does All This Data Mean for My Future Mood? Actionable Analytics and Targeted Reflection for Emotional Well-Being. Human–Computer Interaction 2017;32(5-6):208
CrossRef -
Direito A, Tooley M, Hinbarji M, Albatal R, Jiang Y, Whittaker R, Maddison R. Tailored Daily Activity: An Adaptive Physical Activity Smartphone Intervention. Telemedicine and e-Health 2020;26(4):426
CrossRef -
Kovacs G, Wu Z, Bernstein MS. Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition. Proceedings of the ACM on Human-Computer Interaction 2018;2(CSCW):1
CrossRef -
Schoeppe S, Alley S, Van Lippevelde W, Bray NA, Williams SL, Duncan MJ, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
CrossRef -
Silacci A, Taiar R, Caon M. Towards an AI-Based Tailored Training Planning for Road Cyclists: A Case Study. Applied Sciences 2020;11(1):313
CrossRef -
Davis A, Sweigart R, Ellis R. A systematic review of tailored mHealth interventions for physical activity promotion among adults. Translational Behavioral Medicine 2020;10(5):1221
CrossRef -
Marchant G, Bonaiuto F, Bonaiuto M, Guillet Descas E. Exercise and Physical Activity eHealth in COVID-19 Pandemic: A Cross-Sectional Study of Effects on Motivations, Behavior Change Mechanisms, and Behavior. Frontiers in Psychology 2021;12
CrossRef -
Samoggia A, Monticone F, Bertazzoli A. Innovative Digital Technologies for Purchasing and Consumption in Urban and Regional Agro-Food Systems: A Systematic Review. Foods 2021;10(2):208
CrossRef -
Chew HSJ, Ang WHD, Lau Y. The potential of artificial intelligence in enhancing adult weight loss: a scoping review. Public Health Nutrition 2021;24(8):1993
CrossRef -
Kramer LL, Blok M, van Velsen L, Mulder BC, de Vet E. Supporting eating behaviour of community-dwelling older adults: co-design of an embodied conversational agent. Design for Health 2021;5(1):120
CrossRef -
Tong HL, Quiroz JC, Kocaballi AB, Fat SCM, Dao KP, Gehringer H, Chow CK, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Preventive Medicine 2021;148:106532
CrossRef -
Normand MP, Dallery J, Slanzi CM. Leveraging applied behavior analysis research and practice in the service of public health. Journal of Applied Behavior Analysis 2021;54(2):457
CrossRef -
Blanchard CM, Chin MK, Gilhooly CH, Barger K, Matuszek G, Miki AJ, Côté RG, Eldridge AL, Green H, Mainardi F, Mehers D, Ronga F, Steullet V, Das SK. Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake. The Journal of Nutrition 2021;151(5):1347
CrossRef -
Daryabeygi-Khotbehsara R, Shariful Islam SM, Dunstan D, McVicar J, Abdelrazek M, Maddison R. Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review. Journal of Medical Internet Research 2021;23(9):e26315
CrossRef -
Thomas Craig KJ, Morgan LC, Chen C, Michie S, Fusco N, Snowdon JL, Scheufele E, Gagliardi T, Sill S. Systematic review of context-aware digital behavior change interventions to improve health. Translational Behavioral Medicine 2021;11(5):1037
CrossRef -
Varela C, Oda-Montecinos C, Andrés A, Saldaña C. Effectiveness of web-based feedback interventions for people with overweight and obesity: systematic review and network meta-analysis of randomized controlled trials. Journal of Eating Disorders 2021;9(1)
CrossRef -
Eckert T, Wunsch K, Fiedler J, Woll A. SMARTMOVE – Einbezug von Familien in die Entwicklung und Implementierung digitaler Gesundheitsangebote. Prävention und Gesundheitsförderung 2022;17(3):313
CrossRef -
Saliasi I, Martinon P, Darlington E, Smentek C, Tardivo D, Bourgeois D, Dussart C, Carrouel F, Fraticelli L. Promoting Health via mHealth Applications Using a French Version of the Mobile App Rating Scale: Adaptation and Validation Study. JMIR mHealth and uHealth 2021;9(8):e30480
CrossRef -
Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308
CrossRef -
Sandal LF, Bach K, Øverås CK, Svendsen MJ, Dalager T, Stejnicher Drongstrup Jensen J, Kongsvold A, Nordstoga AL, Bardal EM, Ashikhmin I, Wood K, Rasmussen CDN, Stochkendahl MJ, Nicholl BI, Wiratunga N, Cooper K, Hartvigsen J, Kjær P, Sjøgaard G, Nilsen TIL, Mair FS, Søgaard K, Mork PJ. Effectiveness of App-Delivered, Tailored Self-management Support for Adults With Lower Back Pain–Related Disability. JAMA Internal Medicine 2021;181(10):1288
CrossRef -
Basuodan RM, Bin sheeha BH, Basoudan NE, Abdljabbarl NA, Aldhahi MI. Tele-Physical Activity Promotion Program among College Students during the COVID-19 Pandemic. Medicina 2023;59(2):332
CrossRef -
Al-Saedi AA, Boeva V, Casalicchio E, Exner P. Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview. Sensors 2022;22(15):5544
CrossRef -
Tonkin E, Brimblecombe J, Wycherley TP. Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review. Advances in Nutrition 2017;8(2):308
CrossRef -
Jiang Y, Ding X, Liu D, Gui X, Zhang W, Zhang W. Designing intelligent self-checkup based technologies for everyday healthy living. International Journal of Human-Computer Studies 2022;166:102866
CrossRef -
König LM, Van Emmenis M, Nurmi J, Kassavou A, Sutton S. Characteristics of smartphone-based dietary assessment tools: a systematic review. Health Psychology Review 2022;16(4):526
CrossRef -
Kawai Y, Waki K, Yamaguchi S, Shibuta T, Miyake K, Kimura S, Toyooka T, Nakajima R, Uneda K, Wakui H, Tamura K, Nangaku M, Ohe K. The Use of Information and Communication Technology–Based Self-management System DialBeticsLite in Treating Abdominal Obesity in Japanese Office Workers: Prospective Single-Arm Pilot Intervention Study. JMIR Diabetes 2022;7(4):e40366
CrossRef -
Domin A, Uslu A, Schulz A, Ouzzahra Y, Vögele C. A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study. JMIR Formative Research 2022;6(6):e35118
CrossRef -
Diaz C, Caillaud C, Yacef K. Unsupervised Early Detection of Physical Activity Behaviour Changes from Wearable Accelerometer Data. Sensors 2022;22(21):8255
CrossRef -
Becerro de Bengoa Vallejo R, Losa Iglesias ME, Robles Sanchez OD. Repeatability, Reproducibility, and Concurrent Validity of a Stethoscope and Health App System for the Quantification of Breath Rate in Healthy Adults: Repeatability and Validity Study. Journal of Medical Internet Research 2023;25:e41845
CrossRef -
Chong MS, Sit JWH, Karthikesu K, Chair SY. Effectiveness of technology-assisted cardiac rehabilitation: A systematic review and meta-analysis. International Journal of Nursing Studies 2021;124:104087
CrossRef -
Zhao Q, Li Z, Shah D, Fischer H, Solís P, Wentz E. Understanding the interaction between human activities and physical health under extreme heat environment in Phoenix, Arizona. Health & Place 2023;79:102691
CrossRef -
Diaz C, Caillaud C, Yacef K. Mining Sensor Data to Assess Changes in Physical Activity Behaviors in Health Interventions: Systematic Review. JMIR Medical Informatics 2023;11:e41153
CrossRef -
Niemiec SLS, Wagas R, Vigen CL, Blanchard J, Barber SJ, Schoenhals A. Preliminary User Evaluation of a Physical Activity Smartphone App for Older Adults. Health Policy and Technology 2022;11(3):100639
CrossRef -
Chen J, Grech A, Allman-Farinelli M. Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring. Nutrients 2022;14(22):4822
CrossRef -
Goh YS, Ow Yong JQY, Chee BQH, Kuek JHL, Ho CSH. Machine Learning in Health Promotion and Behavioral Change: Scoping Review. Journal of Medical Internet Research 2022;24(6):e35831
CrossRef -
Kwon HE, Dewan S, Oh W, Kim T. Self-Regulation and External Influence: The Relative Efficacy of Mobile Apps and Offline Channels for Personal Weight Management. Information Systems Research 2023;34(1):50
CrossRef -
Park G, Lee H, Lee M. Artificial Intelligence-based Healthcare Interventions: A Systematic Review. Korean Journal of Adult Nursing 2021;33(5):427
CrossRef -
Zhou T, Wang Y, Yan L, Tan Y. Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multiarmed Bandit Approach. Information Systems Research 2023;34(4):1493
CrossRef -
Ulaszewska K, Jodczyk AM, Długołęcki P, Emerla S, Stańska W, Kasiak PS, Gąsior JS, Parol D, Mamcarz A, Śliż D. Factors Associated with Willingness to Receive a COVID-19 Vaccine in Adult Polish Population—A Cross-Sectional Survey. Vaccines 2022;10(10):1715
CrossRef -
Standen EC, Rothman AJ. Capitalizing on the potential of mobile health applications as behavioral interventions: A research agenda for calorie‐tracking and activity‐tracking applications. Social and Personality Psychology Compass 2023;17(3)
CrossRef -
Zhang H, Ibrahim A, Parsia B, Poliakoff E, Harper S. Passive social sensing with smartphones: a systematic review. Computing 2023;105(1):29
CrossRef -
Kornfield R, Mohr DC, Ranney R, Lattie EG, Meyerhoff J, Williams JJ, Reddy M. Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1
CrossRef -
Alhasani M, Mulchandani D, Oyebode O, Baghaei N, Orji R. A Systematic and Comparative Review of Behavior Change Strategies in Stress Management Apps: Opportunities for Improvement. Frontiers in Public Health 2022;10
CrossRef -
Simmons LA, Phipps JE, Whipps M, Smith P, Carbajal KA, Overstreet C, McLaughlin J, De Lombaert K, Noonan D. From hybrid to fully remote clinical trial amidst the COVID-19 pandemic: Strategies to promote recruitment, retention, and engagement in a randomized mHealth trial. DIGITAL HEALTH 2022;8:205520762211290
CrossRef -
Albers N, Neerincx MA, Brinkman W, Wang FL. Addressing people’s current and future states in a reinforcement learning algorithm for persuading to quit smoking and to be physically active. PLOS ONE 2022;17(12):e0277295
CrossRef -
Ozkaynak M, Voida S, Dunn E. Opportunities and Challenges of Integrating Food Practice into Clinical Decision-Making. Applied Clinical Informatics 2022;13(01):252
CrossRef -
Tong HL, Quiroz JC, Kocaballi AB, Ijaz K, Coiera E, Chow CK, Laranjo L. A personalized mobile app for physical activity: An experimental mixed-methods study. DIGITAL HEALTH 2022;8:205520762211150
CrossRef -
Horwitz AG, Hong V, Eisenberg D, Zheng K, Albucher R, Coryell W, Pistorello J, Favorite T, King CA. Engagement With Personalized Feedback for Emotional Distress Among College Students at Elevated Suicide Risk. Behavior Therapy 2022;53(2):365
CrossRef -
Chew HSJ, Lim SL, Kim G, Kayambu G, So BYJ, Shabbir A, Gao Y. Essential elements of weight loss apps for a multi-ethnic population with high BMI: a qualitative study with practical recommendations. Translational Behavioral Medicine 2023;
CrossRef -
Li Z, Das S, Codella J, Hao T, Lin K, Maduri C, Chen C. An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity. IEEE Journal of Biomedical and Health Informatics 2019;23(3):999
CrossRef -
Wang Z, Xiong H, Zhang J, Yang S, Boukhechba M, Zhang D, Barnes LE, Dou D. From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet of Things Journal 2022;9(17):15413
CrossRef -
Abdul Basir SM, Abdul Manaf Z, Mohd. Noor N, Mat Ludin AF, Shahar S, Abdul Manaf MR. The Challenges and Strategies towards Healthy Eating during COVID-19 Home Confinement Period among Working Adults with BMI ≥ 25 kg/m2 Enrolled in a Weight Loss Program: Qualitative Findings. International Journal of Environmental Research and Public Health 2022;19(11):6656
CrossRef -
Vos AL, de Bruijn G, Klein MCA, Lakerveld J, Boerman SC, Smit EG. SNapp, a Tailored Smartphone App Intervention to Promote Walking in Adults of Low Socioeconomic Position: Development and Qualitative Pilot Study. JMIR Formative Research 2023;7:e40851
CrossRef -
Albers N, Neerincx MA, Penfornis KM, Brinkman W. Users’ needs for a digital smoking cessation application and how to address them: A mixed-methods study. PeerJ 2022;10:e13824
CrossRef -
Plana D, Shung DL, Grimshaw AA, Saraf A, Sung JJY, Kann BH. Randomized Clinical Trials of Machine Learning Interventions in Health Care. JAMA Network Open 2022;5(9):e2233946
CrossRef -
Yu S, Chen Z, Wu X. The Impact of Wearable Devices on Physical Activity for Chronic Disease Patients: Findings from the 2019 Health Information National Trends Survey. International Journal of Environmental Research and Public Health 2023;20(1):887
CrossRef -
Oinas-Kukkonen H, Pohjolainen S, Agyei E. Mitigating Issues With/of/for True Personalization. Frontiers in Artificial Intelligence 2022;5
CrossRef -
Wang W, Su Y, Gao G. Social Determinants of mHealth Effectiveness: Evidence from a Large-Scale Experiment. SSRN Electronic Journal 2018;
CrossRef -
Zhou T, Wang Y, Yan L, Tan Y. Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach with a Dynamic Discrete-Choice Scheme. SSRN Electronic Journal 2019;
CrossRef -
Cox DJ, Jennings AM. The Promises and Possibilities of Artificial Intelligence in the Delivery of Behavior Analytic Services. Behavior Analysis in Practice 2024;17(1):123
CrossRef -
Yfantidou S, Sermpezis P, Vakali A. 14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF Framework. ACM Transactions on Computing for Healthcare 2023;4(3):1
CrossRef -
An R, Shen J, Wang J, Yang Y. A scoping review of methodologies for applying artificial intelligence to physical activity interventions. Journal of Sport and Health Science 2024;13(3):428
CrossRef -
Marcuzzi A, Nordstoga AL, Bach K, Aasdahl L, Nilsen TIL, Bardal EM, Boldermo N, Falkener Bertheussen G, Marchand GH, Gismervik S, Mork PJ. Effect of an Artificial Intelligence–Based Self-Management App on Musculoskeletal Health in Patients With Neck and/or Low Back Pain Referred to Specialist Care. JAMA Network Open 2023;6(6):e2320400
CrossRef -
Schmitz KH, Kanski B, Gordon B, Caru M, Vasakar M, Truica CI, Wang M, Doerksen S, Lorenzo A, Winkels R, Qiu L, Abdullah S. Technology-based supportive care for metastatic breast cancer patients. Supportive Care in Cancer 2023;31(7)
CrossRef -
Sze WT, Waki K, Enomoto S, Nagata Y, Nangaku M, Yamauchi T, Ohe K. StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients. Journal of Biomedical Informatics 2023;145:104481
CrossRef -
Brombacher H, Houben S, Vos S. Tangible interventions for office work well-being: approaches, classification, and design considerations. Behaviour & Information Technology 2024;43(10):2151
CrossRef -
Bulathsinghala R, Ding W, Dharmasena R. Triboelectric nanogenerators for wearable sensing applications: A system level analysis. Nano Energy 2023;116:108792
CrossRef -
Coppens I, De Pessemier T, Martens L. Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders. User Modeling and User-Adapted Interaction 2024;34(1):147
CrossRef -
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
CrossRef -
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
CrossRef -
Krukowski RA, Denton AH, König LM. 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)
CrossRef -
Harris J, Zaki MJ. Neural Models for Generating Natural Language Summaries from Temporal Personal Health Data. Journal of Healthcare Informatics Research 2024;8(2):370
CrossRef -
Lau Y, Wong SH, Chee DGH, Ng BSP, Ang WW, Han CY, Cheng LJ. 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)
CrossRef -
Zhou S, Levinson AH, Zhang X, Portz JD, Moore SL, Gore MO, Ford KL, 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
CrossRef -
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
CrossRef -
Lee SH, Kim SH, Park SC. Dietary Management of Obesity. The Korean Journal of Gastroenterology 2024;83(3):87
CrossRef -
Chen Y, Woodward J, Shankar MN, Bista D, Ugwoaba U, Brockmann A, Ross KM, 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
CrossRef -
Barrafrem K, Tinghög G, Västfjäll D. Behavioral and contextual determinants of different stages of saving behavior. Frontiers in Behavioral Economics 2024;3
CrossRef -
Idrees AR, Kraft R, Mutter A, Baumeister H, Reichert M, Pryss R, Kisimbi TK. Persuasive technologies design for mental and behavioral health platforms: A scoping literature review. PLOS Digital Health 2024;3(5):e0000498
CrossRef -
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
CrossRef -
Bucher A, Blazek ES, Symons CT. 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
CrossRef -
Zhu Y, Long Y, Wang H, Lee KP, Zhang L, Wang SJ. Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review. Journal of Medical Internet Research 2024;26:e54375
CrossRef -
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
CrossRef -
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
CrossRef -
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;
CrossRef -
Fiedler J, Bergmann MR, Sell S, Woll A, Stetter BJ. Just-in-time adaptive interventions for behavior change in physiological health outcomes and the use case for knee osteoarthritis: a systematic review (Preprint). Journal of Medical Internet Research 2023;
CrossRef -
Horwitz AG, Mills ED, Sen S, Bohnert ASB. Comparative Effectiveness of Three Digital Interventions for Adults Seeking Psychiatric Services. JAMA Network Open 2024;7(7):e2422115
CrossRef -
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
CrossRef -
Klooster IT, Kip H, van Gemert-Pijnen L, Crutzen R, Kelders S. A systematic review on eHealth technology personalization approaches. iScience 2024;27(9):110771
CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4160):
-
Cho PJ, Singh K, Dunn J. Artificial Intelligence in Medicine. 2021. :151
CrossRef -
. The Handbook of Applied Communication Research. 2020. :863
CrossRef -
McLaughlin AC, Matalenas LA, Coleman MG. Aging, Technology and Health. 2018. :261
CrossRef -
de Moraes Lopes MHB, Ferreira DD, Ferreira ACBH, da Silva GR, Caetano AS, Braz VN. Artificial Intelligence in Precision Health. 2020. :465
CrossRef -
Rabbi M, Hane Aung M, Choudhury T. Mobile Health. 2017. Chapter 26:519
CrossRef -
Ofori MQ, El-Gayar OF. Optimizing Health Monitoring Systems With Wireless Technology. 2020. chapter 11:130
CrossRef -
Ensari I, Elhadad N. Digital Health. 2021. :79
CrossRef -
Chinnakali P, Kumar SS. Principles and Application of Evidence-based Public Health Practice. 2024. :239
CrossRef -
Yuasa T, Harada F, Shimakawa H. Proceedings of Eighth International Congress on Information and Communication Technology. 2023. Chapter 52:629
CrossRef -
. Transformational Health Communication. 2024. Chapter 8:171
CrossRef -
Mungloo-Dilmohamud Z, Jodheea-Jutton A, Khedo K, Cheerkoot-Jalim S, Nagowah L, Nagowah S, Peerally A, Baichoo S. Wireless Mobile Communication and Healthcare. 2024. Chapter 30:400
CrossRef