Published on in Vol 15, No 4 (2013): April
Journals
- Dalcin A, Jerome G, Fitzpatrick S, Louis T, Wang N, Bennett W, Durkin N, Clark J, Daumit G, Appel L, Coughlin J. Perceived helpfulness of the individual components of a behavioural weight loss program: results from the Hopkins POWER Trial. Obesity Science & Practice 2015;1(1):23 View
- Zia A, Brassart A, Thomas S, Ye F, Stephenson J, Mullins C, Jones C. Patient-Centric Structural Determinants of Adherence Rates Among Asthma Populations: Exploring the Potential of Patient Activation and Encouragement Tool TRUSTR to Improve Adherence. Journal of Health Economics and Outcomes Research 2020;7(2) 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
- Granado-Font E, Flores-Mateo G, Sorlí-Aguilar M, Montaña-Carreras X, Ferre-Grau C, Barrera-Uriarte M, Oriol-Colominas E, Rey-Reñones C, Caules I, Satué-Gracia E. Effectiveness of a Smartphone application and wearable device for weight loss in overweight or obese primary care patients: protocol for a randomised controlled trial. BMC Public Health 2015;15(1) View
- Hutchesson M, Rollo M, Callister R, Collins C. Self-Monitoring of Dietary Intake by Young Women: Online Food Records Completed on Computer or Smartphone Are as Accurate as Paper-Based Food Records but More Acceptable. Journal of the Academy of Nutrition and Dietetics 2015;115(1):87 View
- Biel J, Martin N, Labbe D, Gatica-Perez D. Bites‘n’Bits. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;1(4):1 View
- Bert F, Giacometti M, Gualano M, Siliquini R. Smartphones and Health Promotion: A Review of the Evidence. Journal of Medical Systems 2014;38(1) View
- Egger G. Defining a Structure and Methodology for the Practice of Lifestyle Medicine. American Journal of Lifestyle Medicine 2018;12(5):396 View
- Ryan B, King R. How ready is ready? Measuring physical preparedness for severe storms. Natural Hazards 2020;104(1):171 View
- Donker T, Petrie K, Proudfoot J, Clarke J, Birch M, Christensen H. Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review. Journal of Medical Internet Research 2013;15(11):e247 View
- Burke L, Ma J, Azar K, Bennett G, Peterson E, Zheng Y, Riley W, Stephens J, Shah S, Suffoletto B, Turan T, Spring B, Steinberger J, Quinn C. Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention. Circulation 2015;132(12):1157 View
- Veríssimo J. Usage intensity of mobile medical apps: A tale of two methods. Journal of Business Research 2018;89:442 View
- Choi J, Park D, Noh G. The effect of Attributes of Exercise/Fitness Apps on App Usage: A Convergence Perspective Based on the Self-Determination Theory. Journal of Digital Convergence 2015;13(6):327 View
- Stevens J, Berlan E. Applying Principles from Behavioral Economics To Promote Long‐Acting Reversible Contraceptive (LARC) Methods. Perspectives on Sexual and Reproductive Health 2014;46(3):165 View
- Han M, Cho B, Kwon H, Son K, Lee H, Lee J, Park J. A Mobile-Based Comprehensive Weight Reduction Program for the Workplace (Health-On): Development and Pilot Study. JMIR mHealth and uHealth 2019;7(11):e11158 View
- Yu Z, Sealey-Potts C, Rodriguez J. Dietary Self-Monitoring in Weight Management: Current Evidence on Efficacy and Adherence. Journal of the Academy of Nutrition and Dietetics 2015;115(12):1931 View
- 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 View
- Hu R, van Velthoven M, Meinert E. Perspectives of People Who Are Overweight and Obese on Using Wearable Technology for Weight Management: Systematic Review. JMIR mHealth and uHealth 2020;8(1):e12651 View
- 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 View
- Lee H, Cho J. What Motivates Users to Continue Using Diet and Fitness Apps? Application of the Uses and Gratifications Approach. Health Communication 2017;32(12):1445 View
- Abaza H, Marschollek M. mHealth Application Areas and Technology Combinations. Methods of Information in Medicine 2017;56(S 01):e105 View
- Cangelosi J, Kim D, Ranelli E, Griffin K. A needs assessment study of what health care consumers seek from social media and social networking. Health Marketing Quarterly 2018;35(4):266 View
- Turner-McGrievy G, Helander E, Kaipainen K, Perez-Macias J, Korhonen I. The use of crowdsourcing for dietary self-monitoring: crowdsourced ratings of food pictures are comparable to ratings by trained observers. Journal of the American Medical Informatics Association 2015;22(e1):e112 View
- Derbyshire E, Dancey D. Smartphone Medical Applications for Women’s Health: What Is the Evidence-Base and Feedback?. International Journal of Telemedicine and Applications 2013;2013:1 View
- Darcy A, Adler S, Miner A, Lock J. How smartphone applications may be implemented in the treatment of eating disorders: case reports and case series data. Advances in Eating Disorders 2014;2(3):217 View
- Ali Z, Shakir S, Aslam T. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86 View
- Springer A, Venkatakrishnan A, Mohan S, Nelson L, Silva M, Pirolli P. Leveraging Self-Affirmation to Improve Behavior Change: A Mobile Health App Experiment. JMIR mHealth and uHealth 2018;6(7):e157 View
- Anastasiadou D, Folkvord F, Lupiañez‐Villanueva F. A systematic review of mHealth interventions for the support of eating disorders. European Eating Disorders Review 2018;26(5):394 View
- Jankowski J, Saganowski S, Bródka P. Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials. Mobile Information Systems 2016;2016:1 View
- Jebb S. Interventions to accelerate change towards a healthier diet. Proceedings of the Nutrition Society 2018;77(2):106 View
- Mangieri C, Johnson R, Sweeney L, Choi Y, Wood J. Mobile health applications enhance weight loss efficacy following bariatric surgery. Obesity Research & Clinical Practice 2019;13(2):176 View
- Zhang H, Jiang Y, Nguyen H, Poo D, Wang W. The effect of a smartphone-based coronary heart disease prevention (SBCHDP) programme on awareness and knowledge of CHD, stress, and cardiac-related lifestyle behaviours among the working population in Singapore: a pilot randomised controlled trial. Health and Quality of Life Outcomes 2017;15(1) View
- Bobian M, Kandinov A, El‐Kashlan N, Svider P, Folbe A, Mayerhoff R, Eloy J, Raza S. Mobile applications and patient education: Are currently available GERD mobile apps sufficient?. The Laryngoscope 2017;127(8):1775 View
- Brown T, Banks M, Hughes B, Lin C, Kenny L, Bauer J. Tube feeding during treatment for head and neck cancer – Adherence and patient reported barriers. Oral Oncology 2017;72:140 View
- Gibson A, Sainsbury A. Strategies to Improve Adherence to Dietary Weight Loss Interventions in Research and Real-World Settings. Behavioral Sciences 2017;7(3):44 View
- Pentikäinen S, Tanner H, Karhunen L, Kolehmainen M, Poutanen K, Pennanen K. Mobile Phone App for Self-Monitoring of Eating Rhythm: Field Experiment. JMIR mHealth and uHealth 2019;7(3):e11490 View
- Pope Z, Lee J, Zeng N, Lee H, Gao Z. Feasibility of smartphone application and social media intervention on breast cancer survivors’ health outcomes. Translational Behavioral Medicine 2019;9(1):11 View
- Fakih El Khoury C, Karavetian M, Halfens R, Crutzen R, Khoja L, Schols J. The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis. Journal of the Academy of Nutrition and Dietetics 2019;119(4):626 View
- Feigin V, Krishnamurthi R, Bhattacharjee R, Parmar P, Theadom A, Hussein T, Purohit M, Hume P, Abbott M, Rush E, Kasabov N, Crezee I, Frielick S, Barker-Collo S, Barber P, Arroll B, Poulton R, Ratnasabathy Y, Tobias M, Cabral N, Martins S, Furtado L, Lindsay P, Saposnik G, Giroud M, Béjot Y, Hacke W, Mehndiratta M, Pandian J, Gupta S, Padma V, Mandal D, Kokubo Y, Ibrahim N, Sahathevan R, Fu H, Wang W, Liu L, Hou Z, Goncalves A, Correia M, Varakin Y, Kravchenko M, Piradov M, Saadah M, Thrift A, Cadilhac D, Davis S, Donnan G, Lopez A, Hankey G, Maujean A, Kendall E, Brainin M, Abd-Allah F, Bornstein N, Caso V, Marquez-Romero J, Akinyemi R, Bin Dhim N, Norrving B, Sindi S, Kivipelto M, Mendis S, Ikram M, Hofman A, Mirza S, Rothwell P, Sandercock P, Shakir R, Sacco R, Culebras A, Roth G, Moradi-Lakeh M, Murray C, Narayan K, Mensah G, Wiebers D, Moran A. New Strategy to Reduce the Global Burden of Stroke. Stroke 2015;46(6):1740 View
- Rodriguez Hermosa J, Fuster Gomila A, Puente Maestu L, Amado Diago C, Callejas González F, Malo De Molina Ruiz R, Fuentes Ferrer M, Álvarez Sala-Walther J, Calle Rubio M. Compliance and Utility of a Smartphone App for the Detection of Exacerbations in Patients With Chronic Obstructive Pulmonary Disease: Cohort Study. JMIR mHealth and uHealth 2020;8(3):e15699 View
- Tanenbaum M, Ross K, Wing R. Overeat today, skip the scale tomorrow: An examination of caloric intake predicting nonadherence to daily self‐weighing. Obesity 2016;24(11):2341 View
- Braz V, Lopes M. Evaluation of mobile applications related to nutrition. Public Health Nutrition 2018:1 View
- Butryn M, Godfrey K, Martinelli M, Roberts S, Forman E, Zhang F. Digital self‐monitoring: Does adherence or association with outcomes differ by self‐monitoring target?. Obesity Science & Practice 2020;6(2):126 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
- Alnuaimi A, Rawaf S, Hassounah S, Chehab M. Use of mobile applications in the management of overweight and obesity in primary and secondary care. JRSM Open 2019;10(3) View
- Feigin V, Norrving B, Mensah G. Primary prevention of cardiovascular disease through population-wide motivational strategies: insights from using smartphones in stroke prevention. BMJ Global Health 2017;2(2):e000306 View
- Alqahtani A, BinDhim N, Tashani M, Willaby H, Wiley K, Heywood A, Booy R, Rashid H. Pilot use of a novel smartphone application to track traveller health behaviour and collect infectious disease data during a mass gathering: Hajj pilgrimage 2014. Journal of Epidemiology and Global Health 2015;6(3):147 View
- Anastasiadou D, Folkvord F, Serrano-Troncoso E, Lupiañez-Villanueva F. Mobile Health Adoption in Mental Health: User Experience of a Mobile Health App for Patients With an Eating Disorder. JMIR mHealth and uHealth 2019;7(6):e12920 View
- Ahn J, Lee H, Kim J, Park H, Kim D, Lee J. Use of a Smartphone App for Weight Loss Versus a Paper-Based Dietary Diary in Overweight Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e14013 View
- Ehlers D, Fanning J, Awick E, Kramer A, McAuley E, Buchowski M. Contamination by an Active Control Condition in a Randomized Exercise Trial. PLOS ONE 2016;11(10):e0164246 View
- Gregory-Smith D, Manika D. Consumers’ identities and compartmentalisation tendencies in alcohol consumption. Journal of Marketing Management 2017;33(11-12):942 View
- Poppe L, Van der Mispel C, Crombez G, De Bourdeaudhuij I, Schroé H, Verloigne M. How Users Experience and Use an eHealth Intervention Based on Self-Regulation: Mixed-Methods Study. Journal of Medical Internet Research 2018;20(10):e10412 View
- Cowan S. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348 View
- Burke L, Zheng Y, Ma Q, Mancino J, Loar I, Music E, Styn M, Ewing L, French B, Sieworek D, Smailagic A, Sereika S. The SMARTER pilot study: Testing feasibility of real-time feedback for dietary self-monitoring. Preventive Medicine Reports 2017;6:278 View
- Hartman D. Mobile Technology for the Practice of Pathology. Advances in Anatomic Pathology 2016;23(2):118 View
- Holtz B, Vasold K, Cotten S, Mackert M, Zhang M. Health Care Provider Perceptions of Consumer-Grade Devices and Apps for Tracking Health: A Pilot Study. JMIR mHealth and uHealth 2019;7(1):e9929 View
- Serrano K, Yu M, Coa K, Collins L, Atienza A. Mining Health App Data to Find More and Less Successful Weight Loss Subgroups. Journal of Medical Internet Research 2016;18(6):e154 View
- Lyzwinski L. A Systematic Review and Meta-Analysis of Mobile Devices and Weight Loss with an Intervention Content Analysis. Journal of Personalized Medicine 2014;4(3):311 View
- Cavero-Redondo I, Martinez-Vizcaino V, Fernandez-Rodriguez R, Saz-Lara A, Pascual-Morena C, Álvarez-Bueno C. Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis. Nutrients 2020;12(7):1977 View
- Lee J, Park H, Min Y. Transtheoretical Model-based Nursing Intervention on Lifestyle Change: A Review Focused on Intervention Delivery Methods. Asian Nursing Research 2015;9(2):158 View
- Wagner N. Doing Away with the Agential Bias: Agency and Patiency in Health Monitoring Applications. Philosophy & Technology 2019;32(1):135 View
- Dute D, Bemelmans W, Breda J. Using Mobile Apps to Promote a Healthy Lifestyle Among Adolescents and Students: A Review of the Theoretical Basis and Lessons Learned. JMIR mHealth and uHealth 2016;4(2):e39 View
- Schippers M, Adam P, Smolenski D, Wong H, de Wit J. A meta‐analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration. Obesity Reviews 2017;18(4):450 View
- Lancaster R, Radd‐Vagenas S, Fiatarone Singh M, Noble Y, Daniel K, Mavros Y, Sachdev P, Lautenschlager N, Cox K, Brodaty H, O'Leary F, Flood V. Electronic food records among middle‐aged and older people: A comparison of self‐reported and dietitian‐assisted information. Nutrition & Dietetics 2021;78(2):145 View
- Verwey R, van der Weegen S, Spreeuwenberg M, Tange H, van der Weijden T, de Witte L. Process evaluation of physical activity counselling with and without the use of mobile technology: A mixed methods study. International Journal of Nursing Studies 2016;53:3 View
- McCarroll R, Eyles H, Ni Mhurchu C. Effectiveness of mobile health (mHealth) interventions for promoting healthy eating in adults: A systematic review. Preventive Medicine 2017;105:156 View
- Ashrafzadeh S, Hamdy O. Patient-Driven Diabetes Care of the Future in the Technology Era. Cell Metabolism 2019;29(3):564 View
- Dutton G, Laitner M, Perri M. Lifestyle Interventions for Cardiovascular Disease Risk Reduction: A Systematic Review of the Effects of Diet Composition, Food Provision, and Treatment Modality on Weight Loss. Current Atherosclerosis Reports 2014;16(10) View
- McCarroll M, Armbruster S, Pohle-Krauza R, Lyzen A, Min S, Nash D, Roulette G, Andrews S, von Gruenigen V. Feasibility of a lifestyle intervention for overweight/obese endometrial and breast cancer survivors using an interactive mobile application. Gynecologic Oncology 2015;137(3):508 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
- Flores Mateo G, Granado-Font E, Ferré-Grau C, Montaña-Carreras X. Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2015;17(11):e253 View
- Partridge S, Allman-Farinelli M, McGeechan K, Balestracci K, Wong A, Hebden L, Harris M, Bauman A, Phongsavan P. Process evaluation of TXT2BFiT: a multi-component mHealth randomised controlled trial to prevent weight gain in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
- Gilliland J, Sadler R, Clark A, O’Connor C, Milczarek M, Doherty S. Using a Smartphone Application to Promote Healthy Dietary Behaviours and Local Food Consumption. BioMed Research International 2015;2015:1 View
- Waki K, Aizawa K, Kato S, Fujita H, Lee H, Kobayashi H, Ogawa M, Mouri K, Kadowaki T, Ohe K. DialBetics With a Multimedia Food Recording Tool, FoodLog. Journal of Diabetes Science and Technology 2015;9(3):534 View
- Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine 2017;7(2):254 View
- Darby A, Strum M, Holmes E, Gatwood J. A Review of Nutritional Tracking Mobile Applications for Diabetes Patient Use. Diabetes Technology & Therapeutics 2016;18(3):200 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
- Lim S, O'Reilly S, Behrens H, Skinner T, Ellis I, Dunbar J. Effective strategies for weight loss in post‐partum women: a systematic review and meta‐analysis. Obesity Reviews 2015;16(11):972 View
- Peng W, Kanthawala S, Yuan S, Hussain S. A qualitative study of user perceptions of mobile health apps. BMC Public Health 2016;16(1) View
- Gordon G, Rhoads A. Field-deployable measurements of free-living individuals to determine energy balance: fuel substrate usage through δ13C in breath CO2 and diet through hair δ13C and δ15N values. Isotopes in Environmental and Health Studies 2019;55(1):70 View
- Mata J, Pecorelli N, Kaneva P, Moldoveanu D, Gosselin-Tardiff A, Alhashemi M, Robitaille S, Balvardi S, Lee L, Stein B, Liberman S, Charlebois P, Fiore J, Feldman L. A mobile device application (app) to improve adherence to an enhanced recovery program for colorectal surgery: a randomized controlled trial. Surgical Endoscopy 2020;34(2):742 View
- Hamdy O, Ashrafzadeh S, Mottalib A. Weight Management in Patients with Type 2 Diabetes: a Multidisciplinary Real-world Approach. Current Diabetes Reports 2018;18(9) View
- Lyzwinski L, Caffery L, 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 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
- Quante M, Kaplan E, Rueschman M, Cailler M, Buxton O, Redline S. Practical considerations in using accelerometers to assess physical activity, sedentary behavior, and sleep. Sleep Health 2015;1(4):275 View
- Sharp D, Allman-Farinelli M. Feasibility and validity of mobile phones to assess dietary intake. Nutrition 2014;30(11-12):1257 View
- Mason A, Jhaveri K, Cohn M, Brewer J. Testing a mobile mindful eating intervention targeting craving-related eating: feasibility and proof of concept. Journal of Behavioral Medicine 2018;41(2):160 View
- Morrison L, Hargood C, Lin S, Dennison L, Joseph J, Hughes S, Michaelides D, Johnston D, Johnston M, Michie S, Little P, Smith P, Weal M, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201 View
- Tort E, Aguilar-Martínez A, Medina F, Saigí-Rubió F. Visión de los profesionales sobre las posibilidades de uso y las funcionalidades de las aplicaciones móviles para el tratamiento de la obesidad y el sobrepeso. Atención Primaria 2016;48(2):138 View
- Park E, Lee H. Environment Factors Affecting Childhood Obesity: Voices from Students, Parents, and Teachers with Photograph. Journal of Korean Academy of Nursing 2019;49(3):254 View
- Olson C. Behavioral Nutrition Interventions Using e- and m-Health Communication Technologies: A Narrative Review. Annual Review of Nutrition 2016;36(1):647 View
- Payne H, Lister C, West J, Bernhardt J. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20 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
- Nierenberg A, Hearing C, Sande Mathias I, Young L, Sylvia L. Getting to wellness: The potential of the athletic model of marginal gains for the treatment of bipolar disorder. Australian & New Zealand Journal of Psychiatry 2015;49(12):1207 View
- Wilson T, Garcia-Perez I, Posma J, Lloyd A, Chambers E, Tailliart K, Zubair H, Beckmann M, Mathers J, Holmes E, Frost G, Draper J. Spot and Cumulative Urine Samples Are Suitable Replacements for 24-Hour Urine Collections for Objective Measures of Dietary Exposure in Adults Using Metabolite Biomarkers. The Journal of Nutrition 2019;149(10):1692 View
- Buchan K, Morgan H. Using the Onitor® Track for weight loss: A mixed methods study among overweight and obese women. Health Informatics Journal 2020;26(3):1841 View
- Raaijmakers L, Pouwels S, Berghuis K, Nienhuijs S. Technology-based interventions in the treatment of overweight and obesity: A systematic review. Appetite 2015;95:138 View
- Pourzanjani A, Quisel T, Foschini L, Earnest C. Adherent Use of Digital Health Trackers Is Associated with Weight Loss. PLOS ONE 2016;11(4):e0152504 View
- Lieffers J, Vance V, Hanning R. Use of Mobile Device Applications In Canadian Dietetic Practice. Canadian Journal of Dietetic Practice and Research 2014;75(1):41 View
- Ho T, Lee C, Wong S, Lau Y. Internet-based self-monitoring interventions for overweight and obese adolescents: A systematic review and meta-analysis. International Journal of Medical Informatics 2018;120:20 View
- Singh K, Drouin K, Newmark L, Filkins M, Silvers E, Bain P, Zulman D, Lee J, Rozenblum R, Pabo E, Landman A, Klinger E, Bates D. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136 View
- Adamo K, Shen G, Mottola M, Nascimento S, Jean-Philippe S, Ferraro Z, Nerenberg K, Smith G, Ohari R, Gaudet L, Piccinini-Vallis H, McDonald S, Atkinson S, Godbout A, Robitaille J, Davidge S, Gruslin A, Prud'homme D, Stacey D, Rossiter M, Goldfield G, Dodd J. Obesity Prevention from Conception: A Workshop to Guide the Development of a Pan-Canadian Trial Targeting the Gestational Period. Nutrition and Metabolic Insights 2014;7 View
- Zeng E, Heffner J, Copeland W, Mull K, Bricker J. Get with the program: Adherence to a smartphone app for smoking cessation. Addictive Behaviors 2016;63:120 View
- Vangeepuram N, Williams N, Constable J, Waldman L, Lopez-Belin P, Phelps-Waldropt L, Horowitz C. TEEN HEED: Design of a clinical-community youth diabetes prevention intervention. Contemporary Clinical Trials 2017;57:23 View
- Carter M, Burley V, Cade J. Handheld Electronic Technology for Weight Loss in Overweight/Obese Adults. Current Obesity Reports 2014;3(3):307 View
- Kim J, Wineinger N, Steinhubl S. The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e116 View
- Paldan K, Sauer H, Wagner N. Promoting inequality? Self-monitoring applications and the problem of social justice. AI & SOCIETY 2023;38(6):2597 View
- Lewis T, Wyatt J. mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use. Journal of Medical Internet Research 2014;16(9):e210 View
- Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544 View
- Forgács A, Bóna E, Csíkos T, Metercsik H. Media messages and eating disorders: Taste and price of a message. Society and Economy 2018;40(3):401 View
- Gill S, Panda S. A Smartphone App Reveals Erratic Diurnal Eating Patterns in Humans that Can Be Modulated for Health Benefits. Cell Metabolism 2015;22(5):789 View
- Rodriguez-Paras C, Sasangohar F. Usability Assessment of a Post-Traumatic Stress Disorder (PTSD) mHealth App. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2017;61(1):1824 View
- Bissell K, Conlin Maxwell L, Zhang X, Bie B, McLemore D. Let Go of My iPad: Testing the Effectiveness of New Media Technologies to Measure Children’s Food Intake and Health Behaviors. Mass Communication and Society 2017;20(4):550 View
- Patel M, Hopkins C, Brooks T, Bennett G. Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(2):e12209 View
- Frie K, Hartmann-Boyce J, Jebb S, Aveyard P. Testing the effectiveness of a weight loss intervention to enhance self-regulation in adults who are obese: protocol for a randomised controlled trial. BMJ Open 2019;9(12):e031572 View
- Cho J. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics 2016;87:75 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
- Du H, Venkatakrishnan A, Youngblood G, Ram A, Pirolli P. A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study. JMIR mHealth and uHealth 2016;4(1):e4 View
- Ong A, Gillespie M. Overview of smartphone applications for sleep analysis. World Journal of Otorhinolaryngology - Head and Neck Surgery 2016;2(1):45 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
- 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
- Arens-Volland A, Spassova L, Bohn T. Promising approaches of computer-supported dietary assessment and management—Current research status and available applications. International Journal of Medical Informatics 2015;84(12):997 View
- Fuller N, Fong M, Gerofi J, Ferkh F, Leung C, Leung L, Zhang S, Skilton M, Caterson I. Comparison of an electronic versus traditional food diary for assessing dietary intake—A validation study. Obesity Research & Clinical Practice 2017;11(6):647 View
- Szmeja M, Cramp C, Grivell R, Deussen A, Yelland L, Dodd J. Use of a DVD to provide dietary and lifestyle information to pregnant women who are overweight or obese: a nested randomised trial. BMC Pregnancy and Childbirth 2014;14(1) View
- Maramis C, Moulos I, Ioakimidis I, Papapanagiotou V, Langlet B, Lekka I, Bergh C, Maglaveras N. A smartphone application for semi-controlled collection of objective eating behavior data from multiple subjects. Computer Methods and Programs in Biomedicine 2020;194:105485 View
- Lim S, Johal J, Ong K, Han C, Chan Y, Lee Y, Loo W. Lifestyle Intervention Enabled by Mobile Technology on Weight Loss in Patients With Nonalcoholic Fatty Liver Disease: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14802 View
- Kim J, Wineinger N, Taitel M, Radin J, Akinbosoye O, Jiang J, Nikzad N, Orr G, Topol E, Steinhubl S. Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors. Journal of Medical Internet Research 2016;18(11):e292 View
- Yasutake K, Umeki Y, Horita N, Morita R, Murata Y, Ohe K, Tsuchihashi T, Enjoji M. A self‐monitoring urinary salt excretion level measurement device for educating young women about salt reduction: A parallel randomized trial involving two groups. The Journal of Clinical Hypertension 2019;21(6):730 View
- Cho J, Lee H, Quinlan M. Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones. Journal of American College Health 2017;65(7):437 View
- Tilston T, Brown R, Wateridge M, Arms-Williams B, Walker J, Sun Y, Wells T. A Novel Automated System Yields Reproducible Temporal Feeding Patterns in Laboratory Rodents. The Journal of Nutrition 2019;149(9):1674 View
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- Domguia E, Hymette L, Nzomo J, Ngassam S, Donfouet O. How important is ICT for reducing undernourishment in Africa?. Telematics and Informatics Reports 2023;11:100098 View
- Nadal C, Earley C, Enrique A, Sas C, Richards D, Doherty G. Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction 2024;31(1):1 View
- De La Cruz M, Zegarra C, Vega R, Sime C, Narro J, Ferrer-Peñaranda L, Dávila-Morán R. Evaluation of the effectiveness of personal electronic health assistants in monitoring patients with chronic diseases. EAI Endorsed Transactions on Pervasive Health and Technology 2023;9 View
- Detopoulou P, Papandreou P, Papadopoulou L, Skouroliakou M. Implementation of a Nutrition-Oriented Clinical Decision Support System (CDSS) for Weight Loss during the COVID-19 Epidemic in a Hospital Outpatient Clinic: A 3-Month Controlled Intervention Study. Applied Sciences 2023;13(16):9448 View
- Silva L, Ankrah E, Huai Y, Epstein D. Exploring Opportunities for Multimodality and Multiple Devices in Food Journaling. Proceedings of the ACM on Human-Computer Interaction 2023;7(MHCI):1 View
- Crumbley C, Cepni A, Taylor A, Thompson D, Moran N, Olvera N, O’Connor D, Johnston C, Ledoux T. Exploring Factors Associated With Accelerometer Validity Among Ethnically Diverse Toddlers. Pediatric Exercise Science 2024;36(2):66 View
- Frisancho V, Herrera A, Prina S. Can a Mobile-App-Based Behavioral Intervention Teach Financial Skills to Youth? Experimental Evidence from a Financial Diaries Study. SSRN Electronic Journal 2023 View
- Frisancho V, Herrera A, Prina S. Can a mobile-app-based behavioral intervention teach financial skills to youth? Experimental evidence from a financial diaries study. Journal of Economic Behavior & Organization 2023;214:595 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
- Saleh A, Wetik J, Sumaedi S. Smartphone Apps-Based Health Communication Media Usage among Older Individuals During the COVID-19 Pandemic: The Role of System Quality Factors. Sage Open 2023;13(4) View
- Konstantakopoulos F, Georga E, Fotiadis D. A novel approach to estimate the weight of food items based on features extracted from an image using boosting algorithms. Scientific Reports 2023;13(1) View
- Jin T, Kang G, Song S, Lee H, Chen Y, Kim S, Shin M, Park Y, Lee J. The effects of dietary self-monitoring intervention on anthropometric and metabolic changes via a mobile application or paper-based diary: a randomized trial. Nutrition Research and Practice 2023;17(6):1238 View
- Gemesi K, Winkler S, Schmidt-Tesch S, Schederecker F, Hauner H, Holzapfel C. Efficacy of an app-based multimodal lifestyle intervention on body weight in persons with obesity: results from a randomized controlled trial. International Journal of Obesity 2024;48(1):118 View
- Markkanen J, Oikarinen N, Savolainen M, Merikallio H, Nyman V, Salminen V, Virkkula T, Karppinen P, Oinas-Kukkonen H, Hukkanen J. Mobile health behaviour change support system as independent treatment tool for obesity: a randomized controlled trial. International Journal of Obesity 2024;48(3):376 View
- Buss V, Barr M, Parker S, Kabir A, Lau A, Liaw S, Stocks N, Harris M. Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study. JMIR mHealth and uHealth 2024;12:e45942 View
- Konstantakopoulos F, Georga E, Fotiadis D. A Review of Image-Based Food Recognition and Volume Estimation Artificial Intelligence Systems. IEEE Reviews in Biomedical Engineering 2024;17:136 View
- Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2) View
- Altmannshofer S, Flaucher M, Beierlein M, Eskofier B, Beckmann M, Fasching P, Huebner H. A content-based review of mobile health applications for breast cancer prevention and education: Characteristics, quality and functionality analysis. DIGITAL HEALTH 2024;10 View
- DiFilippo K, Chapman-Novakofski K. Mobile Apps for Hypertension Management. Topics in Clinical Nutrition 2024;39(2):147 View
- Prapkree L, Deringer R, Coccia C, Huffman F, Palacios C. Effect of using the snackability app on snack quality among US college students with overweight and obesity: A randomized controlled trial. Journal of American College Health 2024:1 View
- Kim D, Son Y, Khern-am-nuai W, Cohen M. Motivating Runners in Real Time: A Field Experiment. SSRN Electronic Journal 2024 View
- Okube O, Kimani S. Effectiveness of Trans-Theoretical Model-Based Health Education Intervention in the Promotion of Lifestyle Changes among Adults with Metabolic Syndrome: A Randomized Controlled Trial. SAGE Open Nursing 2024;10 View
- Haimi M, Lerner A. Utilizing Telemedicine Applications in Celiac Disease and Other Gluten-Free-Diet-Dependent Conditions: Insights from the COVID-19 Pandemic. Healthcare 2024;12(11):1132 View
- Kim Y, Kang Y, Kim B, Kim J, Kim G. Exploring the role of engagement and adherence in chatbot-based cognitive training for older adults: memory function and mental health outcomes. Behaviour & Information Technology 2024:1 View
- Kang K, Park J. Dual verifications in mHealth apps: Supporting self-regulation or increasing friction?. Electronic Markets 2024;34(1) View
- Domdey P, Potzel K. Medientagebücher als Teil sequenzieller Triangulation in der qualitativen Forschung. MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung 2024;60:121 View
- Chueh T, Wang Z, Ngu Y, Lin P, Owaga E, Hsieh R. A Mobile-Based Nutrition Tracker App Enhanced Dietitian-Guided 2:1:1 Diet-Induced Weight Loss: An 8-Week Retrospective Cohort Study in Taiwan. Nutrients 2024;16(14):2331 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
- Khazaei R, Maleklou F, Bodaghabadi Z, Tavana M, Kluzek S, Sharafi S, Feshki M, Alizadeh Z. Developing an 8‐Week, Tele‐Education Weight Control and Exercise Programme, and Evaluating Its Effects on Weight and Pain Reduction in Patients With Obesity and Knee Osteoarthritis: A Double‐Blinded Randomised Clinical Trial. Musculoskeletal Care 2024;22(3) View
- Johnson K, Gutierrez E, Dionicio P, McConnell J, Sauls R, Alencar M. Telehealth-Based Health Coaching Produces Significant Weight Loss over 12 Months in a Usual Care Setting. International Medical Education 2022;1(2):79 View
- Hallock R, Ufholz K, Patel N. Self-Monitoring of Weight as a Weight Loss Strategy: A Systematic Review. Current Cardiovascular Risk Reports 2024;18(11):163 View
- Hurley L, Nezami B, Sciamanna C, Tate D. Personal goal setting eHealth component associated with improved weight loss at 6 months: A mixed methods secondary analysis. DIGITAL HEALTH 2024;10 View
- Kanmodi K, Salami A, Nwafor J. mHealth interventions to improve public knowledge of HPV-associated oropharyngeal cancer in the UK. Exploration of Digital Health Technologies 2024:271 View
- Bracken M, Waite B. Self-Efficacy and Nutrition-Related Goal Achievement of MyFitnessPal Users. Health Education & Behavior 2020;47(5):677 View
- Levin M, Krafft J, Seifert S, Lillis J. Tracking Valued and Avoidant Functions with Health Behaviors: A Randomized Controlled Trial of the Acceptance and Commitment Therapy Matrix Mobile App. Behavior Modification 2022;46(1):63 View
- Aizawa T, Okudaira H, Kitagawa R, Kuroda S, Owan H. Employee well-being in the digital age: Assessing the impacts of a smartphone application in the workplace. Economics & Human Biology 2024;55:101445 View
- Szálka B, Vassányi I, Máthéné Köteles É, Szabó L, Lada S, Bolgár T, Korom A, Ábrahám J, Bilicki V, Barnai M, Nemes A, Lengyel C, Kósa I. Factors of Weight Loss for Telemedically Supported Metabolic Syndrome Patients in a Controlled Trial. Applied Sciences 2024;14(22):10179 View
Books/Policy Documents
- Chen Y, Yang L, Hu H, Chen J, Shen B. Healthcare and Big Data Management. View
- Ramalho S, Silva C, Pinto-Bastos A, Conceição E. Obesity. View
- Sayed M, Kubalski S. Digitales Betriebliches Gesundheitsmanagement. View
- Brizel F. Interdisciplinary Mobile Media and Communications. View
- Agboola S, Jethwani K. Career Paths in Telemental Health. View
- Ahmad M, Khan M, Bibi M, Ullah Z, Shah S. Mobile Devices and Smart Gadgets in Medical Sciences. View
- Holzapfel C. Handbuch Essstörungen und Adipositas. View
- Egger G, Sagner M, Meldrum H, Katz D, Lawson R. Präventionsmedizin. View
- Brizel F. E-Health and Telemedicine. View
- . Big Data and Ethics. View
- Seçkin G. Emotions, Technology, and Health. View
- Rinaldi G, Rinaldi S. Clinical Handbook of Air Pollution-Related Diseases. View
- Kang S. Information Science and Applications 2018. View
- Woodside J, Welch R, Patterson C, McKinley M. Nutrition Research Methodologies. View
- Chen X, Murtaugh M, Koebnick C, Beddhu S, Garvin J, Conway M, Lee Y, Gouripeddi R, Luo G. Health Information Science. View
- Wali S, Keshavjee K, Demers C. eHealth - Making Health Care Smarter. View
- Al Mazari A. Big Data Analytics in HIV/AIDS Research. View
- Vashist S, Luong J. Point-of-Care Technologies Enabling Next-Generation Healthcare Monitoring and Management. View
- Zheng Y, Mancino J, Burke L, Glanz K. Nutrition in the Prevention and Treatment of Disease. View
- Seçkin G, Kahana E. Encyclopedia of Mobile Phone Behavior. View
- Egger G, Sagner M, Meldrum H, Katz D, Lawson R. Lifestyle Medicine. View
- Ryan D, Anton S. Present Knowledge in Nutrition. View
- Klebbe R, Steinert A, Müller-Werdan U. Perspectives on Wearable Enhanced Learning (WELL). View
- Gavalas D, Kasapakis V, Dzardanova E. Encyclopedia of Computer Graphics and Games. View
- Hasselmann O, Schauerte B, Schröder J. Fehlzeiten-Report 2017. View
- Vashist S, Luong J. Wearable Technology in Medicine and Health Care. View
- Lyzwinski L. Obesity and Diabetes. View
- Clookey S. Self-Management in Chronic Illness. View
- Troxel A. Pragmatic Randomized Clinical Trials. View
- Baby Maruthi P. Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services. View
- Holzapfel C. Handbuch Essstörungen und Adipositas. View
- Al Mazari A. Research Anthology on Big Data Analytics, Architectures, and Applications. View
- Lodha C, Dhingra K, Mondal R, Goyal S. Smart Intelligent Computing and Applications, Volume 2. View
- Folta S, Brown A, Blumberg J. Preventive Nutrition. View
- Khan A, Hamdy O. Diabetes and Cardiovascular Disease. View
- Baker C, Elizabeth L, Crone D, Tutton A, Aitken P. Sport and Exercise Psychology. View
- Gavalas D, Kasapakis V, Dzardanova E. Encyclopedia of Computer Graphics and Games. View
- Holzapfel C. Handbook of Eating Disorders and Obesity. View
- Holzapfel C. Adipositas. View