Published on in Vol 3, No 4 (2015): Oct-Dec
Journals
- Zhang L, Nawijn E, Boshuizen H, Ocké M. Evaluation of the Recipe Function in Popular Dietary Smartphone Applications, with Emphasize on Features Relevant for Nutrition Assessment in Large-Scale Studies. Nutrients 2019;11(1):200 View
- Puigdomenech Puig E, Robles N, Saigí-Rubió F, Zamora A, Moharra M, Paluzie G, Balfegó M, Cuatrecasas Cambra G, Garcia-Lorda P, Carrion C. Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review. JMIR mHealth and uHealth 2019;7(10):e12612 View
- Chen J, Lieffers J, Bauman A, Hanning R, Allman‐Farinelli M. The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: a three country study. Journal of Human Nutrition and Dietetics 2017;30(4):439 View
- Willcox J, Dobson R, Whittaker R. Old-Fashioned Technology in the Era of “Bling”: Is There a Future for Text Messaging in Health Care?. Journal of Medical Internet Research 2019;21(12):e16630 View
- Griffiths C, Harnack L, Pereira M. Assessment of the accuracy of nutrient calculations of five popular nutrition tracking applications. Public Health Nutrition 2018;21(8):1495 View
- Wang Y, Wang Y, Greene B, Sun L. An analysis and evaluation of quality and behavioral change techniques among physical activity apps in China. International Journal of Medical Informatics 2020;133:104029 View
- Chen J, Allman-Farinelli M. Impact of Training and Integration of Apps Into Dietetic Practice on Dietitians’ Self-Efficacy With Using Mobile Health Apps and Patient Satisfaction. JMIR mHealth and uHealth 2019;7(3):e12349 View
- Castellano-Tejedor C, Moreno J, Ciudin A, Parramón G, Lusilla-Palacios P. PREventive Care Infrastructure based On Ubiquitous Sensing (PRECIOUS): A Study Protocol. JMIR Research Protocols 2017;6(5):e105 View
- Nikolaou C, Lean M. Mobile applications for obesity and weight management: current market characteristics. International Journal of Obesity 2017;41(1):200 View
- Liu H, Chia R, Setiawan I, Crytzer T, Ding D. Development of “My Wheelchair Guide” app: a qualitative study. Disability and Rehabilitation: Assistive Technology 2019;14(8):839 View
- Villasana M, Pires I, Sá J, Garcia N, Zdravevski E, Chorbev I, Lameski P, Flórez-Revuelta F. Mobile Applications for the Promotion and Support of Healthy Nutrition and Physical Activity Habits: A Systematic Review, Extraction of Features and Taxonomy Proposal. The Open Bioinformatics Journal 2019;12(1):50 View
- Holzmann S, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31 View
- Zhou L, Saptono A, Setiawan I, Parmanto B. Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study. JMIR mHealth and uHealth 2020;8(1):e15060 View
- Honary M, Bell B, Clinch S, Wild S, McNaney R. Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People. JMIR mHealth and uHealth 2019;7(6):e14239 View
- Kim M, Kim Y, Go Y, Lee S, Na M, Lee Y, Choi S, Choi H. Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14817 View
- Liu Y, Wu S, Lin S, Chen C, Lin Y, Chen H. Usability of Food Size Aids in Mobile Dietary Reporting Apps for Young Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14543 View
- Azar K, Bennett G, Nolting L, Rosas L, Burke L, Ma J. A framework for examining the function of digital health technologies for weight management. Translational Behavioral Medicine 2018;8(2):280 View
- Hoppe C, Cade J, Carter M. An evaluation of diabetes targeted apps for Android smartphone in relation to behaviour change techniques. Journal of Human Nutrition and Dietetics 2017;30(3):326 View
- Abrahams M, Matusheski N. Personalised nutrition technologies: a new paradigm for dietetic practice and training in a digital transformation era. Journal of Human Nutrition and Dietetics 2020;33(3):295 View
- Alnasser A, Kyle J, Alkhalifah A, Marais D. Relationship Between Evidence Requirements, User Expectations, and Actual Experiences: Usability Evaluation of the Twazon Arabic Weight Loss App. JMIR Human Factors 2018;5(2):e16 View
- Wang Y, Min J, Khuri J, Xue H, Xie B, A Kaminsky L, J Cheskin L. Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews. JMIR mHealth and uHealth 2020;8(4):e15400 View
- DiFilippo K, Huang W, Chapman-Novakofski K. A New Tool for Nutrition App Quality Evaluation (AQEL): Development, Validation, and Reliability Testing. JMIR mHealth and uHealth 2017;5(10):e163 View
- Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301 View
- Flaherty S, McCarthy M, Collins A, McAuliffe F. Can existing mobile apps support healthier food purchasing behaviour? Content analysis of nutrition content, behaviour change theory and user quality integration. Public Health Nutrition 2018;21(2):288 View
- Li Y, Ding J, Wang Y, Tang C, Zhang P. Nutrition-Related Mobile Apps in the China App Store: Assessment of Functionality and Quality. JMIR mHealth and uHealth 2019;7(7):e13261 View
- Simpson S, Matthews L, Pugmire J, McConnachie A, McIntosh E, Coulman E, Hughes K, Kelson M, Morgan-Trimmer S, Murphy S, Utkina-Macaskill O, Moore L. An app-, web- and social support-based weight loss intervention for adults with obesity: the HelpMeDoIt! feasibility RCT. Public Health Research 2020;8(3):1 View
- Christmann C, Hoffmann A, Bleser G. Stress Management Apps With Regard to Emotion-Focused Coping and Behavior Change Techniques: A Content Analysis. JMIR mHealth and uHealth 2017;5(2):e22 View
- Chen R, Santo K, Wong G, Sohn W, Spallek H, Chow C, Irving M. Mobile Apps for Dental Caries Prevention: Systematic Search and Quality Evaluation. JMIR mHealth and uHealth 2021;9(1):e19958 View
- Maheu M, Nicolucci V, Pulier M, Wall K, Frye T, Hudlicka E. The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System. Journal of Technology in Behavioral Science 2016;1(1-4):3 View
- Smyth B, Fehlberg B. Australian post-separation parenting on the smartphone: What’s ‘App-ening?. Journal of Social Welfare and Family Law 2019;41(1):53 View
- Khazen W, Jeanne J, Demaretz L, Schäfer F, Fagherazzi G. Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research. Journal of Medical Internet Research 2020;22(6):e15619 View
- Rivera J, McPherson A, Hamilton J, Birken C, Coons M, Peters M, Iyer S, George T, Nguyen C, Stinson J. User-Centered Design of a Mobile App for Weight and Health Management in Adolescents With Complex Health Needs: Qualitative Study. JMIR Formative Research 2018;2(1):e7 View
- Balapour A, Reychav I, Sabherwal R, Azuri J. Mobile technology identity and self-efficacy: Implications for the adoption of clinically supported mobile health apps. International Journal of Information Management 2019;49:58 View
- Aromatario O, Van Hoye A, Vuillemin A, Foucaut A, Crozet C, Pommier J, Cambon L. How do mobile health applications support behaviour changes? A scoping review of mobile health applications relating to physical activity and eating behaviours. Public Health 2019;175:8 View
- Wills A, Garry J, Hubbard J, Mezoian T, Breen C, Ortiz-Miller C, Nalipinski P, Sullivan S, Berry J, Cudkowicz M, Paganoni S, Chan J, Macklin E. Nutritional counseling with or without mobile health technology: a randomized open-label standard-of-care-controlled trial in ALS. BMC Neurology 2019;19(1) View
- Lupton D. ‘I Just Want It to Be Done, Done, Done!’ Food Tracking Apps, Affects, and Agential Capacities. Multimodal Technologies and Interaction 2018;2(2):29 View
- Hendrie G, Hussain M, Brindal E, James-Martin G, Williams G, Crook A. Impact of a Mobile Phone App to Increase Vegetable Consumption and Variety in Adults: Large-Scale Community Cohort Study. JMIR mHealth and uHealth 2020;8(4):e14726 View
- Forman E, Goldstein S, Crochiere R, Butryn M, Juarascio A, Zhang F, Foster G. Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss. Translational Behavioral Medicine 2019;9(6):989 View
- Teixeira V, Voci S, Mendes‐Netto R, da Silva D. The relative validity of a food record using the smartphone application MyFitnessPal. Nutrition & Dietetics 2018;75(2):219 View
- Flaherty S, McCarthy M, Collins A, McAuliffe F. A different perspective on consumer engagement: exploring the experience of using health apps to support healthier food purchasing. Journal of Marketing Management 2019;35(3-4):310 View
- Chen J, Lieffers J, Bauman A, Hanning R, Allman-Farinelli M. Designing Health Apps to Support Dietetic Professional Practice and Their Patients: Qualitative Results From an International Survey. JMIR mHealth and uHealth 2017;5(3):e40 View
- Alamoodi A, Garfan S, Zaidan B, Zaidan A, Shuwandy M, Alaa M, Alsalem M, Mohammed A, Aleesa A, Albahri O, Al-Hussein W, Alobaidi O. A systematic review into the assessment of medical apps: motivations, challenges, recommendations and methodological aspect. Health and Technology 2020;10(5):1045 View
- Forman E, Goldstein S, Zhang F, Evans B, Manasse S, Butryn M, Juarascio A, Abichandani P, Martin G, Foster G. OnTrack: development and feasibility of a smartphone app designed to predict and prevent dietary lapses. Translational Behavioral Medicine 2019;9(2):236 View
- Mummah S, Robinson T, King A, Gardner C, Sutton S. IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior. Journal of Medical Internet Research 2016;18(12):e317 View
- Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750 View
- Pulier M, Daviss S. A Call for a Global Digital Health Consortium. Journal of Technology in Behavioral Science 2016;1(1-4):16 View
- Nouri R, R Niakan Kalhori S, Ghazisaeedi M, Marchand G, Yasini M. Criteria for assessing the quality of mHealth apps: a systematic review. Journal of the American Medical Informatics Association 2018;25(8):1089 View
- Eikey E, Reddy M, Booth K, Kvasny L, Blair J, Li V, Poole E. Desire to Be Underweight: Exploratory Study on a Weight Loss App Community and User Perceptions of the Impact on Disordered Eating Behaviors. JMIR mHealth and uHealth 2017;5(10):e150 View
- Partridge S, Redfern J. Strategies to Engage Adolescents in Digital Health Interventions for Obesity Prevention and Management. Healthcare 2018;6(3):70 View
- Allman-Farinelli M, Gemming L. Technology Interventions to Manage Food Intake: Where Are We Now?. Current Diabetes Reports 2017;17(11) View
- Cade J. Measuring diet in the 21st century: use of new technologies. Proceedings of the Nutrition Society 2017;76(3):276 View
- Hood M, Wilson R, Corsica J, Bradley L, Chirinos D, Vivo A. What do we know about mobile applications for diabetes self-management? A review of reviews. Journal of Behavioral Medicine 2016;39(6):981 View
- Gabizon I, Bhagirath V, Lokker C, Bhavnani S, Lonn E. What do Physicians Need to Know in Order to ‘Prescribe’ Mobile Applications to Patients with Cardiovascular Disease?. Personalized Medicine 2019;16(4):263 View
- Huang Z, Lum E, Car J. Medication Management Apps for Diabetes: Systematic Assessment of the Transparency and Reliability of Health Information Dissemination. JMIR mHealth and uHealth 2020;8(2):e15364 View
- Maringer M, van’t Veer P, Klepacz N, Verain M, Normann A, Ekman S, Timotijevic L, Raats M, Geelen A. User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research. Nutrition Journal 2018;17(1) View
- Chen J, Bauman A, Allman-Farinelli M. A Study to Determine the Most Popular Lifestyle Smartphone Applications and Willingness of the Public to Share Their Personal Data for Health Research. Telemedicine and e-Health 2016;22(8):655 View
- Bouslimani A, Melnik A, Xu Z, Amir A, da Silva R, Wang M, Bandeira N, Alexandrov T, Knight R, Dorrestein P. Lifestyle chemistries from phones for individual profiling. Proceedings of the National Academy of Sciences 2016;113(48) View
- Bland C, Dalrymple K, White S, Moore A, Poston L, Flynn A. Smartphone applications available to pregnant women in the United Kingdom: An assessment of nutritional information. Maternal & Child Nutrition 2020;16(2) View
- Albrecht U, Malinka C, Long S, Raupach T, Hasenfuß G, von Jan U. Quality Principles of App Description Texts and Their Significance in Deciding to Use Health Apps as Assessed by Medical Students: Survey Study. JMIR mHealth and uHealth 2019;7(2):e13375 View
- Franco R, Fallaize R, Lovegrove J, Hwang F. Popular Nutrition-Related Mobile Apps: A Feature Assessment. JMIR mHealth and uHealth 2016;4(3):e85 View
- Chen J, Berkman W, Bardouh M, Ng C, Allman-Farinelli M. The use of a food logging app in the naturalistic setting fails to provide accurate measurements of nutrients and poses usability challenges. Nutrition 2019;57:208 View
- Jones A, Mitchell L, O'Connor R, Rollo M, Slater K, Williams L, Ball L. Investigating the Perceptions of Primary Care Dietitians on the Potential for Information Technology in the Workplace: Qualitative Study. Journal of Medical Internet Research 2018;20(10):e265 View
- Banerjee P, Mendu V, Korrapati D, Gavaravarapu S. Calorie counting smart phone apps: Effectiveness in nutritional awareness, lifestyle modification and weight management among young Indian adults. Health Informatics Journal 2020;26(2):816 View
- Ghelani D, Moran L, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Frontiers in Endocrinology 2020;11 View
- Siddiqui N, Hodges S, Sharif M. Availability of orthodontic smartphone apps. Journal of Orthodontics 2019;46(3):235 View
- Maringer M, Wisse-Voorwinden N, Veer P, Geelen A. Food identification by barcode scanning in the Netherlands: a quality assessment of labelled food product databases underlying popular nutrition applications. Public Health Nutrition 2018:1 View
- Tavares B, Pires I, Marques G, Garcia N, Zdravevski E, Lameski P, Trajkovik V, Jevremovic A. Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Information 2020;11(7):343 View
- Sullivan R, Marsh S, Halvarsson J, Holdsworth M, Waterlander W, Poelman M, Salmond J, Christian H, Koh L, Cade J, Spence J, Woodward A, Maddison R. Smartphone Apps for Measuring Human Health and Climate Change Co-Benefits: A Comparison and Quality Rating of Available Apps. JMIR mHealth and uHealth 2016;4(4):e135 View
- Gilmore L, Klempel M, Martin C, Myers C, Burton J, Sutton E, Redman L. Personalized Mobile Health Intervention for Health and Weight Loss in Postpartum Women Receiving Women, Infants, and Children Benefit: A Randomized Controlled Pilot Study. Journal of Women's Health 2017;26(7):719 View
- Bondaronek P, Alkhaldi G, Slee A, Hamilton F, Murray E. Quality of Publicly Available Physical Activity Apps: Review and Content Analysis. JMIR mHealth and uHealth 2018;6(3):e53 View
- Andersson A, Winslott Hiselius L, Adell E. Promoting sustainable travel behaviour through the use of smartphone applications: A review and development of a conceptual model. Travel Behaviour and Society 2018;11:52 View
- Kim J, Talikoti A, Boutin M. A 3-Step Process to Estimate Phenylalanine in Commercial Foods for PKU Management. IEEE Access 2018;6:30758 View
- Gómez-de-Regil L, Avila-Nava A, Gutierrez-Solis A, Lugo R. Mobile Apps for the Management of Comorbid Overweight/Obesity and Depression/Anxiety: A Systematic Review. Journal of Healthcare Engineering 2020;2020:1 View
- 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 View
- Carter M, Hancock N, Albar S, Brown H, Greenwood D, Hardie L, Frost G, Wark P, Cade J. Development of a New Branded UK Food Composition Database for an Online Dietary Assessment Tool. Nutrients 2016;8(8):480 View
- Villasana M, Pires I, Sá J, Garcia N, Zdravevski E, Chorbev I, Lameski P, Flórez-Revuelta F. Mobile Applications for the Promotion and Support of Healthy Nutrition and Physical Activity Habits: A Systematic Review, Extraction of Features and Taxonomy Proposal. The Open Bioinformatics Journal 2019;13(1):50 View
- Fong S, Ng S, Cheng Y, Zhang J, Chung L, Chow G, Chak Y, Chan I, Macfarlane D. Comparison between smartphone pedometer applications and traditional pedometers for improving physical activity and body mass index in community-dwelling older adults. Journal of Physical Therapy Science 2016;28(5):1651 View
- Gentili C, Zetterqvist V, Rickardsson J, Holmström L, Simons L, Wicksell R. ACTsmart – development and feasibility of digital Acceptance and Commitment Therapy for adults with chronic pain. npj Digital Medicine 2020;3(1) View
- Xiao Q, Lu S, Wang Y, Sun L, Wu Y. Current Status of Cardiovascular Disease-Related Smartphone Apps Downloadable in China. Telemedicine and e-Health 2017;23(3):219 View
- Lee K, Kim H, Lee S, Ha H. Changes in Weight and Health-Related Behavior Using Smartphone Applications in Patients With Colorectal Polyps. Journal of Nutrition Education and Behavior 2019;51(5):539 View
- Ryan K, Murphy L, Linehan C, Dockray S. Theory in practice: identifying theory-based techniques in health coaches’ tailored feedback during a weight loss intervention. Psychology & Health 2020;35(11):1384 View
- Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing L, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow P. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1) View
- Zhao J, Freeman B, Li M. How Do Infant Feeding Apps in China Measure Up? A Content Quality Assessment. JMIR mHealth and uHealth 2017;5(12):e186 View
- Hoj T, Covey E, Jones A, Haines A, Hall P, Crookston B, West J. How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms. JMIR mHealth and uHealth 2017;5(8):e114 View
- Thompson-Felty C, Johnston C. Adherence to Diet Applications Using a Smartphone Was Associated With Weight Loss in Healthy Overweight Adults Irrespective of the Application. Journal of Diabetes Science and Technology 2017;11(1):184 View
- Wellard-Cole L, Chen J, Davies A, Wong A, Huynh S, Rangan A, Allman-Farinelli M. Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds. Nutrients 2019;11(3):621 View
- Tosi M, Radice D, Carioni G, Vecchiati T, Fiori F, Parpinel M, Gnagnarella P. Accuracy of applications to monitor food intake: Evaluation by comparison with 3-d food diary. Nutrition 2021;84:111018 View
- Agapito G, Simeoni M, Calabrese B, Caré I, Lamprinoudi T, Guzzi P, Pujia A, Fuiano G, Cannataro M. DIETOS: A dietary recommender system for chronic diseases monitoring and management. Computer Methods and Programs in Biomedicine 2018;153:93 View
- Toro-Ramos T, Lee D, Kim Y, Michaelides A, Oh T, Kim K, Jang H, Lim S. Effectiveness of a Smartphone Application for the Management of Metabolic Syndrome Components Focusing on Weight Loss: A Preliminary Study. Metabolic Syndrome and Related Disorders 2017;15(9):465 View
- DiFilippo K, Huang W, Chapman-Novakofski K. Mobile Apps for the Dietary Approaches to Stop Hypertension (DASH): App Quality Evaluation. Journal of Nutrition Education and Behavior 2018;50(6):620 View
- Ferrara G, Kim J, Lin S, Hua J, Seto E. A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates. JMIR mHealth and uHealth 2019;7(5):e9232 View
- Wellard-Cole L, Jung J, Kay J, Rangan A, Chapman K, Watson W, Hughes C, Ni Mhurchu C, Bauman A, Gemming L, Yacef K, Koprinska I, Allman-Farinelli M. Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional Study. JMIR Research Protocols 2018;7(1):e24 View
- van Beurden S, Smith J, Lawrence N, Abraham C, Greaves C. Feasibility Randomized Controlled Trial of ImpulsePal: Smartphone App–Based Weight Management Intervention to Reduce Impulsive Eating in Overweight Adults. JMIR Formative Research 2019;3(2):e11586 View
- Robbins R, Krebs P, Jagannathan R, Jean-Louis G, Duncan D. Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status. JMIR mHealth and uHealth 2017;5(12):e197 View
- Frie K, Hartmann-Boyce J, Jebb S, Albury C, Nourse R, Aveyard P. Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis. JMIR mHealth and uHealth 2017;5(12):e203 View
- Baretta D, Bondaronek P, Direito A, Steca P. Implementation of the goal-setting components in popular physical activity apps: Review and content analysis. DIGITAL HEALTH 2019;5 View
- Milne-Ives M, Lam C, van Velthoven M, Meinert E. Mobile Fitness and Weight Management Apps: Protocol for a Quality Evaluation. JMIR Research Protocols 2020;9(9):e17685 View
- Lee J, Bae S, Park D, Kim Y, Park J. The effectiveness of a monetary reimbursement model for weight reduction via a smartphone application: a preliminary retrospective study. Scientific Reports 2020;10(1) View
- Asbjørnsen R, Wentzel J, Smedsrød M, Hjelmesæth J, Clark M, Solberg Nes L, Van Gemert-Pijnen J. Identifying Persuasive Design Principles and Behavior Change Techniques Supporting End User Values and Needs in eHealth Interventions for Long-Term Weight Loss Maintenance: Qualitative Study. Journal of Medical Internet Research 2020;22(11):e22598 View
- Joo E, Kononova A, Kanthawala S, Peng W, Cotten S. Smartphone Users’ Persuasion Knowledge in the Context of Consumer mHealth Apps: Qualitative Study. JMIR mHealth and uHealth 2021;9(4):e16518 View
- Trottier C, Lieffers J, Johnson S, Mota J, Gill R, Prado C. The Impact of a Web-Based Mindfulness, Nutrition, and Physical Activity Platform on the Health Status of First-Year University Students: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(3):e24534 View
- Blanchard C, Chin M, Gilhooly C, Barger K, Matuszek G, Miki A, Côté R, Eldridge A, Green H, Mainardi F, Mehers D, Ronga F, Steullet V, Das S. Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake. The Journal of Nutrition 2021;151(5):1347 View
- Zugasti Murillo A. Applicability of innovation in clinical nutrition. Nutrición Hospitalaria 2021 View
- Keaver L, Loftus A, Quinn L. A review of iPhone and Android apps for cancer patients and survivors: assessing their quality, nutrition information and behaviour change techniques. Journal of Human Nutrition and Dietetics 2021;34(3):572 View
- Lugones-Sanchez C, Sanchez-Calavera M, Repiso-Gento I, Adalia E, Ramirez-Manent J, Agudo-Conde C, Rodriguez-Sanchez E, Gomez-Marcos M, Recio-Rodriguez J, Garcia-Ortiz L. Effectiveness of an mHealth Intervention Combining a Smartphone App and Smart Band on Body Composition in an Overweight and Obese Population: Randomized Controlled Trial (EVIDENT 3 Study). JMIR mHealth and uHealth 2020;8(11):e21771 View
- Shaw M, Satchell L, Thompson S, Harper E, Balsalobre-Fernández C, Peart D. Smartphone and Tablet Software Apps to Collect Data in Sport and Exercise Settings: Cross-sectional International Survey. JMIR mHealth and uHealth 2021;9(5):e21763 View
- Turner-McGrievy G, Yang C, Monroe C, Pellegrini C, West D. Is Burden Always Bad? Emerging Low-Burden Approaches to Mobile Dietary Self-monitoring and the Role Burden Plays with Engagement. Journal of Technology in Behavioral Science 2021;6(3):447 View
- Choi J, Chung C, Woo H. Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment. International Journal of Environmental Research and Public Health 2021;18(7):3496 View
- Shinozaki N, Murakami K. Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan. Nutrients 2020;12(11):3327 View
- Jacobsen L, Stancu V, Wang Q, Aschemann-Witzel J, Lähteenmäki L. Connecting food consumers to organisations, peers, and technical devices: The potential of interactive communication technology to support consumers’ value creation. Trends in Food Science & Technology 2021;109:622 View
- Hensher M, Cooper P, Dona S, Angeles M, Nguyen D, Heynsbergh N, Chatterton M, Peeters A. Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers. Journal of the American Medical Informatics Association 2021;28(6):1318 View
- Olson K, Goldstein S, Lillis J, Panza E. Weight stigma is overlooked in commercial‐grade mobile applications for weight loss and weight‐related behaviors. Obesity Science & Practice 2021;7(2):244 View
- Kelly J, Collins P, McCamley J, Ball L, Roberts S, Campbell K. Digital disruption of dietetics: are we ready?. Journal of Human Nutrition and Dietetics 2021;34(1):134 View
- Zečević M, Mijatović D, Kos Koklič M, Žabkar V, Gidaković P. User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling. Journal of Medical Internet Research 2021;23(4):e25160 View
- Zhang L, Misir A, Boshuizen H, Ocké M. A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps. Advances in Nutrition 2021;12(6):2321 View
- Tam E, Boas P, Ruaro F, Flesch J, Wu J, Thomas A, Li J, Lopes F. Feasibility and Adoption of a Focused Digital Wellness Program in Older Adults. Geriatrics 2021;6(2):54 View
- Chan V, Davies A, Wellard-Cole L, Lu S, Ng H, Tsoi L, Tiscia A, Signal L, Rangan A, Gemming L, Allman-Farinelli M. Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App. Nutrients 2021;13(6):1806 View
- Yang Q, Mitchell E, Ho A, DeLuca L, Behr H, Michaelides A. Cross-National Outcomes of a Digital Weight Loss Intervention in the United States, Canada, United Kingdom and Ireland, and Australia and New Zealand: A Retrospective Analysis. Frontiers in Public Health 2021;9 View
- Briggs T, Quick V, Hallman W. Feature Availability Comparison in Free and Paid Versions of Popular Smartphone Weight Management Applications. Journal of Nutrition Education and Behavior 2021;53(9):732 View
- Woulfe F, Fadahunsi K, Smith S, Chirambo G, Larsson E, Henn P, Mawkin M, O’ Donoghue J. Identification and Evaluation of Methodologies to Assess the Quality of Mobile Health Apps in High-, Low-, and Middle-Income Countries: Rapid Review. JMIR mHealth and uHealth 2021;9(10):e28384 View
- Abdul Basir S, Abdul Manaf Z, Mohd. Noor N, Mat Ludin A, Shahar S, Abdul Manaf M. 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 View
- Gadde N, Yap K. Mobile Health Apps That Act as Surgical Preparatory Guides: App Store Search and Quality Evaluation. JMIR Perioperative Medicine 2021;4(2):e27037 View
- Shoneye C, Kwasnicka D, Mullan B, Pollard C, Boushey C, Kerr D. Dietary assessment methods used in adult digital weight loss interventions: A systematic literature review. Journal of Human Nutrition and Dietetics 2023;36(3):997 View
- Miller K, Jerome G. Self-Monitoring Physical Activity, Diet, and Weight Among Adults Who Are Legally Blind: Exploratory Investigation. JMIR Rehabilitation and Assistive Technologies 2022;9(4):e42923 View
- Khazaal Y, Potvin S, Pennou A, Djomo W, Borgeat F, Lecomte T. Des repères pour la conception des apps ?. Santé mentale au Québec 2021;46(1):119 View
- Lin A, Morgan N, Ward D, Tangney C, Alshurafa N, Van Horn L, Spring B. Comparative Validity of Mostly Unprocessed and Minimally Processed Food Items Differs Among Popular Commercial Nutrition Apps Compared with a Research Food Database. Journal of the Academy of Nutrition and Dietetics 2022;122(4):825 View
- Ang S, Chen J, Liew J, Johal J, Dan Y, Allman-Farinelli M, Lim S. Efficacy of Interventions That Incorporate Mobile Apps in Facilitating Weight Loss and Health Behavior Change in the Asian Population: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(11):e28185 View
- Samad S, Ahmed F, Naher S, Kabir M, Das A, Amin S, Islam S. Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps. Intelligent Systems with Applications 2022;15:200103 View
- Corrêa C, Costa B, Dezanetti T, Filipini R, Nunes E. Changes in eating habits, sleep, and physical activity during coronavirus disease (COVID-19) pandemic: A longitudinal study in young Brazilian adult males. Nutrition and Health 2022;28(4):701 View
- Zuppinger C, Taffé P, Burger G, Badran-Amstutz W, Niemi T, Cornuz C, Belle F, Chatelan A, Paclet Lafaille M, Bochud M, Gonseth Nusslé S. Performance of the Digital Dietary Assessment Tool MyFoodRepo. Nutrients 2022;14(3):635 View
- Mistura L, Comendador Azcarraga F, D’Addezio L, Martone D, Turrini A. An Italian Case Study for Assessing Nutrient Intake through Nutrition-Related Mobile Apps. Nutrients 2021;13(9):3073 View
- Stancu V, Frank D, Lähteenmäki L, Grunert K. Motivating consumers for health and fitness: The role of app features. Journal of Consumer Behaviour 2022;21(6):1506 View
- Jung J, Wellard-Cole L, Cai C, Koprinska I, Yacef K, Allman-Farinelli M, Kay J. Foundations for Systematic Evaluation and Benchmarking of a Mobile Food Logger in a Large-scale Nutrition Study. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(2):1 View
- Threapleton D, Beer S, Foley D, Gibson L, Trevillion S, Burke D, Wheatstone P, Gath J, Hex N, Setters J, Greenwood D, Cade J. Usability of myfood24 Healthcare and Mathematical Diet Optimisation in Clinical Populations: A Pilot Feasibility Randomised Controlled Trial. Nutrients 2022;14(9):1768 View
- Castro Sweet C, Kaye L, Alabduljabbar M, Myers V. Training the next generation of behavioral medicine scientists to accelerate digital health. Translational Behavioral Medicine 2022;12(8):834 View
- McNitt K, Hohman E, Rivera D, Guo P, Pauley A, Gernand A, Symons Downs D, Savage J. Underreporting of Energy Intake Increases over Pregnancy: An Intensive Longitudinal Study of Women with Overweight and Obesity. Nutrients 2022;14(11):2326 View
- Siddiqui N, Hodges S, Sharif M. Orthodontic apps: an assessment of quality (using the Mobile App Rating Scale (MARS)) and behaviour change techniques (BCTs). Progress in Orthodontics 2021;22(1) View
- Festic N, Latzer M, Smirnova S. Algorithmic Self-Tracking for Health: User Perspectives on Risk Awareness and Coping Strategies. Media and Communication 2021;9(4):145 View
- Bzikowska-Jura A, Sobieraj P, Raciborski F. Low Comparability of Nutrition-Related Mobile Apps against the Polish Reference Method—A Validity Study. Nutrients 2021;13(8):2868 View
- van der Linden M, Nahar van Venrooij L, Verdaasdonk E. Personal Devices to Monitor Physical Activity and Nutritional Intake After Colorectal Cancer Surgery: Feasibility Study. JMIR Perioperative Medicine 2022;5(1):e40352 View
- 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 View
- Rahmani Z, Houge Mackenzie S, Carr A. How virtual wellness retreat experiences may influence psychological well-being. Journal of Hospitality and Tourism Management 2024;58:516 View
- Shreya Kharche , Neha Saraf , Omsing Bhonde . A System for Fitness and Health Care. International Journal of Advanced Research in Science, Communication and Technology 2023:294 View
- Martin-Vicario L, Bustos Díaz J, Nicolas-Sans R, Yan Z. Weight Loss App Descriptors in App Stores: A Qualitative Analysis of the Spanish Market. Human Behavior and Emerging Technologies 2023;2023:1 View
- Sithole B, Pappas Y, Randhawa G. eHealth in obesity care. Clinical Medicine 2023;23(4):347 View
- Gioia S, Vlasac I, Babazadeh D, Fryou N, Do E, Love J, Robbins R, Dashti H, Lane J. Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research. JMIR Formative Research 2023;7:e35858 View
- Larson D, Henning J, Burgermaster M. Smartphone Applications (Apps) for Nutrition Education: A Qualitative Analysis of Outpatient Dietitian Perspectives. Journal of Nutrition Education and Behavior 2023;55(8):596 View
- Abdul Khalil N, Mohd Mydin F, Moy F, Diviani N. Healthy adults’ views and experiences on behavior change strategies in mobile applications for diet monitoring: A single centre qualitative study. PLOS ONE 2023;18(11):e0292390 View
- Chew H, Achananuparp P, Dalakoti M, Chew N, Chin Y, Gao Y, So B, Shabbir A, Peng L, Ngiam K. Public acceptance of using artificial intelligence-assisted weight management apps in high-income southeast Asian adults with overweight and obesity: a cross-sectional study. Frontiers in Nutrition 2024;11 View
- Matthews L, Pugmire J, Moore L, Kelson M, McConnachie A, McIntosh E, Morgan-Trimmer S, Murphy S, Hughes K, Coulman E, Utkina-Macaskill O, Simpson S. Study protocol for the ‘HelpMeDoIt!’ randomised controlled feasibility trial: an app, web and social support-based weight loss intervention for adults with obesity. BMJ Open 2017;7(10):e017159 View
- Bondaronek P, Slee A, Hamilton F, Murray E. Relationship between popularity and the likely efficacy: an observational study based on a random selection on top-ranked physical activity apps. BMJ Open 2019;9(11):e027536 View
- Nagarajan I, V A, P A, S D, K R D. NBH (Nutritious Balanced and Healthy) – An AI Enhanced Fitness Analyzer. SSRN Electronic Journal 2024 View
- Tak Y, Lee J, Kim J, Lee Y. Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices. Journal of Medical Internet Research 2024;26:e59444 View
- Li X, Yin A, Choi H, Chan V, Allman-Farinelli M, Chen J. Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care. Nutrients 2024;16(15):2573 View
- Albahri O, Alamoodi A, Pamucar D, Simic V, Chen J, Mahmoud M, Albahri A, Sharaf I. Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework. Engineering Applications of Artificial Intelligence 2024;137:109191 View
- Fernandez-Lazaro C, Santamaría G, Fernandez Milano A, Martin-Vergel M, Fernandez-Lazaro D. Nutrition-Related Mobile Apps in the Spanish App Stores: Quality and Content Analysis. JMIR mHealth and uHealth 2024;12:e52424 View
- Gauthier C, Bally F. Digitalization and power shift in the food market. Journal of Business Research 2025;186:115039 View
Books/Policy Documents
- Valentim Pereira G, Pires I, Marques G, Garcia N, Zdravevski E, Lameski P, Flórez-Revuelta F, Spinsante S. Internet of Things and Big Data Applications. View
- Galhotra R. Nutrients in Dairy and their Implications on Health and Disease. View
- Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View
- Adewumi A, Olatunde G, Misra S, Maskeliūnas R, Damaševičius R. Information Technology Science. View
- Dufort A, Gregory E, Woo T. Humanism and Resilience in Residency Training. View
- Lyzwinski L. Obesity and Diabetes. View
- Weech M, Fallaize R, Kelly E, Hwang F, Franco R, Lovegrove J. Smartphone Apps for Health and Wellness. View
- Lodha C, Dhingra K, Mondal R, Goyal S. Smart Intelligent Computing and Applications, Volume 2. View