Published on in Vol 3, No 1 (2015): Jan-Mar
Journals
- Braz V, Lopes M. Evaluation of mobile applications related to nutrition. Public Health Nutrition 2018:1 View
- Li K, White F, Tipoe T, Liu T, Wong M, Jesuthasan A, Baranchuk A, Tse G, Yan B. The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review. JMIR mHealth and uHealth 2019;7(2):e11606 View
- Wardenaar F, Hoogervorst D, van der Burg N, Versteegen J, Yoo W, Tasevska N. Validity of a Food and Fluid Exercise Questionnaire for Macronutrient Intake during Exercise against Observations. Nutrients 2019;11(10):2391 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
- Vasiloglou M, Christodoulidis S, Reber E, Stathopoulou T, Lu Y, Stanga Z, Mougiakakou S. What Healthcare Professionals Think of “Nutrition & Diet” Apps: An International Survey. Nutrients 2020;12(8):2214 View
- Al Mheid I, Kelli H, Ko Y, Hammadah M, Ahmed H, Hayek S, Vaccarino V, Ziegler T, Gibson G, Lampl M, Alexander R, Brigham K, Martin G, Quyyumi A. Effects of a Health‐Partner Intervention on Cardiovascular Risk. Journal of the American Heart Association 2016;5(10) View
- Wang Q, Egelandsdal B, Amdam G, Almli V, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33 View
- Waldman H, Krings B, Basham S, Smith J, Fountain B, McAllister M. Effects of a 15-Day Low Carbohydrate, High-Fat Diet in Resistance-Trained Men. Journal of Strength and Conditioning Research 2018;32(11):3103 View
- Xie Z, Nacioglu A, Or C. Prevalence, Demographic Correlates, and Perceived Impacts of Mobile Health App Use Amongst Chinese Adults: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2018;6(4):e103 View
- Régnier F, Dugré M, Darcel N, Adamiec C. Providing a Smart Healthy Diet for the Low-Income Population: Qualitative Study on the Usage and Perception of a Designed Cooking App. JMIR mHealth and uHealth 2018;6(11):e11176 View
- Régnier F, Adamiec C. Les outils numériques pour réduire la fracture alimentaire ? Étude sociologique de deux dispositifs à destination des catégories modestes. Cahiers de Nutrition et de Diététique 2019;54(6):326 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
- Forster H, Walsh M, Gibney M, Brennan L, Gibney E. Personalised nutrition: the role of new dietary assessment methods. Proceedings of the Nutrition Society 2016;75(1):96 View
- Karduck J, Chapman-Novakofski K. Results of the Clinician Apps Survey, How Clinicians Working With Patients With Diabetes and Obesity Use Mobile Health Apps. Journal of Nutrition Education and Behavior 2018;50(1):62 View
- Heikkilä M, Lehtovirta M, Autio O, Fogelholm M, Valve R. The Impact of Nutrition Education Intervention with and Without a Mobile Phone Application on Nutrition Knowledge Among Young Endurance Athletes. Nutrients 2019;11(9):2249 View
- Ahmed M, Mandic I, Lou W, Goodman L, Jacobs I, L’Abbé M. Validation of a Tablet Application for Assessing Dietary Intakes Compared with the Measured Food Intake/Food Waste Method in Military Personnel Consuming Field Rations. Nutrients 2017;9(3):200 View
- Simpson A, Gemming L, Baker D, Braakhuis A. Do Image-Assisted Mobile Applications Improve Dietary Habits, Knowledge, and Behaviours in Elite Athletes? A Pilot Study. Sports 2017;5(3):60 View
- Régnier F, Chauvel L. Digital Inequalities in the Use of Self-Tracking Diet and Fitness Apps: Interview Study on the Influence of Social, Economic, and Cultural Factors. JMIR mHealth and uHealth 2018;6(4):e101 View
- Fallaize R, Zenun Franco R, Pasang J, Hwang F, Lovegrove J. Popular Nutrition-Related Mobile Apps: An Agreement Assessment Against a UK Reference Method. JMIR mHealth and uHealth 2019;7(2):e9838 View
- Khoury J, de Freitas A, Roque M, Albuquerque M, das Neves M, Garcia F, Jiménez-Murcia S. Assessment of the accuracy of a new tool for the screening of smartphone addiction. PLOS ONE 2017;12(5):e0176924 View
- Tam R, Beck K, Manore M, Gifford J, Flood V, O’Connor H. Effectiveness of Education Interventions Designed to Improve Nutrition Knowledge in Athletes: A Systematic Review. Sports Medicine 2019;49(11):1769 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
- Mueller R. Exploring Family Nurse Practitioners' Practices in Recommending mHealth Apps to Patients. CIN: Computers, Informatics, Nursing 2020;38(2):71 View
- Xu X, Wang J, Hou L, Guo Z, Li J. A Dietary Management System Using Radio-Frequency Identification Technology to Collect Information on Chinese Food Consumption: Development and Feasibility Study. JMIR mHealth and uHealth 2018;6(8):e166 View
- Mobley C, Haun C, Roberson P, Mumford P, Romero M, Kephart W, Anderson R, Vann C, Osburn S, Pledge C, Martin J, Young K, Goodlett M, Pascoe D, Lockwood C, Roberts M. Effects of Whey, Soy or Leucine Supplementation with 12 Weeks of Resistance Training on Strength, Body Composition, and Skeletal Muscle and Adipose Tissue Histological Attributes in College-Aged Males. Nutrients 2017;9(9):972 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
- 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
- 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
- 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
- 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
- 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
- Akdur G, Aydin M, Akdur G. Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik. JMIR mHealth and uHealth 2020;8(10):e16911 View
- Raguzzini A, Toti E, Sciarra T, Fedullo A, Peluso I, Saso L. Cranberry for Bacteriuria in Individuals with Spinal Cord Injury: A Systematic Review and Meta-Analysis. Oxidative Medicine and Cellular Longevity 2020;2020:1 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
- Evenepoel C, Clevers E, Deroover L, Van Loo W, Matthys C, Verbeke K. Accuracy of Nutrient Calculations Using the Consumer-Focused Online App MyFitnessPal: Validation Study. Journal of Medical Internet Research 2020;22(10):e18237 View
- Che K, Qiu J, Yi L, Zou M, Li Z, Carr A, Snipe R, Benardot D. Effects of a Short-Term “Fat Adaptation with Carbohydrate Restoration” Diet on Metabolic Responses and Exercise Performance in Well-Trained Runners. Nutrients 2021;13(3):1033 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
- Peart D, Briggs M, Shaw M. Mobile applications for the sport and exercise nutritionist: a narrative review. BMC Sports Science, Medicine and Rehabilitation 2022;14(1) View
- Tovar A, Richardson C, Keim N, Van Loan M, Davis B, Casazza G. Four Weeks of 16/8 Time Restrictive Feeding in Endurance Trained Male Runners Decreases Fat Mass, without Affecting Exercise Performance. Nutrients 2021;13(9):2941 View
- Slazus C, Ebrahim Z, Koen N. Mobile health apps: An assessment of needs, perceptions, usability, and efficacy in changing dietary choices. Nutrition 2022;101:111690 View
- Vaughan G, Prizeman G, Eustace-Cook J, Byrne G. Use of mHealth apps by nurses in the management of chronic wounds: a scoping review protocol. JBI Evidence Synthesis 2021;19(10):2783 View
- Yeh M, Lau W, Gong Z, Horlyck-Romanovsky M, Tung H, Zhu L, Ma G, Wylie-Rosett J. Development of a Web-Based Diabetes Prevention Program (DPP) for Chinese Americans: A Formative Evaluation Approach. International Journal of Environmental Research and Public Health 2022;20(1):599 View
- Dalakleidi K, Papadelli M, Kapolos I, Papadimitriou K. Applying Image-Based Food-Recognition Systems on Dietary Assessment: A Systematic Review. Advances in Nutrition 2022;13(6):2590 View
- Mohamed Kelli H, Witbrodt B, Shah A. The Future of Mobile Health Applications and Devices in Cardiovascular Health. EMJ Innovations 2017:92 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
- Régnier F. « Goût de liberté » et self-quantification. Réseaux 2018;n° 208-209(2):95 View
- Hinojosa-Nogueira D, Ortiz-Viso B, Navajas-Porras B, Pérez-Burillo S, González-Vigil V, de la Cueva S, Rufián-Henares J. Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition. Nutrients 2023;15(2):276 View
- Venkataramanan R, Padhee S, Rao S, Kaoshik R, Sundara Rajan A, Sheth A. Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning. Frontiers in Big Data 2023;6 View
- Ramaraj K, Narayan V, Dhivyaprabha T, Subashini P. A healthy nutrition suggestion model for indian women sports players & active youth using long short‐term memory. Internet Technology Letters 2024;7(5) View
- Ho D, Chiu W, Kao J, Tseng H, Yao C, Su H, Wei P, Le N, Nguyen H, Chang J. Mitigating errors in mobile-based dietary assessments: Effects of a data modification process on the validity of an image-assisted food and nutrition app. Nutrition 2023;116:112212 View
- DiFilippo K, Chapman-Novakofski K. Mobile Apps for Hypertension Management. Topics in Clinical Nutrition 2024;39(2):147 View
- Liang Y, Xiao R, Huang F, Lin Q, Guo J, Zeng W, Dong J. AI nutritionist: Intelligent software as the next generation pioneer of precision nutrition. Computers in Biology and Medicine 2024;178:108711 View
- Ho D, Chiu W, Kao J, Tseng H, Lin C, Huang P, Fang Y, Chen K, Su T, Yang C, Yao C, Su H, Wei P, Chang J. Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study. JMIR mHealth and uHealth 2024;12:e54509 View
- Curtis C, Hills S, Arjomandkhah N, Cooke C, Ranchordas M, Russell M. The test–retest reliability and validity of food photography and food diary analyses. Nutrition & Dietetics 2024 View
Books/Policy Documents
- Galhotra R. Nutrients in Dairy and their Implications on Health and Disease. View
- Giazitzi K, Karathanos V, Boskou G. Quality Assurance in the Era of Individualized Medicine. View
- de Moraes Lopes M, Ferreira D, Ferreira A, da Silva G, Caetano A, Braz V. Artificial Intelligence in Precision Health. View
- Ahmad M, Khan M, Bibi M, Ullah Z, Shah S. Mobile Devices and Smart Gadgets in Medical Sciences. View
- Xu X, Hou L, Guo Z, Wang J, Li J. Big Data – BigData 2018. View
- Sartori F, Shala K, Moglia A, Talpini J, Savi M. Metadata and Semantic Research. View