Published on 15.04.13 in Vol 15, No 4 (2013): April
Works citing "Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2283):
(note that this is only a small subset of citations)
-
Dalcin AT, Jerome GJ, Fitzpatrick SL, Louis TA, Wang N, Bennett WL, Durkin N, Clark JM, Daumit GL, Appel LJ, Coughlin JW. 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
CrossRef -
Zia A, Brassart A, Thomas S, Ye F, Stephenson J, Mullins CD, Jones CA. 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)
CrossRef -
Griffiths C, Harnack L, Pereira MA. Assessment of the accuracy of nutrient calculations of five popular nutrition tracking applications. Public Health Nutrition 2018;21(8):1495
CrossRef -
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)
CrossRef -
Hutchesson MJ, Rollo ME, Callister R, Collins CE. 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
CrossRef -
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
CrossRef -
Bert F, Giacometti M, Gualano MR, Siliquini R. Smartphones and Health Promotion: A Review of the Evidence. Journal of Medical Systems 2014;38(1)
CrossRef -
. Defining a Structure and Methodology for the Practice of Lifestyle Medicine. American Journal of Lifestyle Medicine 2018;12(5):396
CrossRef -
Ryan B, King R. How ready is ready? Measuring physical preparedness for severe storms. Natural Hazards 2020;104(1):171
CrossRef -
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
CrossRef -
Burke LE, Ma J, Azar KM, Bennett GG, Peterson ED, Zheng Y, Riley W, Stephens J, Shah SH, Suffoletto B, Turan TN, Spring B, Steinberger J, Quinn CC. Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention. Circulation 2015;132(12):1157
CrossRef -
. Usage intensity of mobile medical apps: A tale of two methods. Journal of Business Research 2018;89:442
CrossRef -
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
CrossRef -
Stevens J, Berlan ED. Applying Principles from Behavioral Economics To Promote Long‐Acting Reversible Contraceptive (LARC) Methods. Perspectives on Sexual and Reproductive Health 2014;46(3):165
CrossRef -
Han MK, Cho B, Kwon H, Son KY, Lee H, Lee JK, 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
CrossRef -
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
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 -
Hu R, van Velthoven MH, 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
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 -
Lee HE, 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
CrossRef -
Abaza H, Marschollek M. mHealth Application Areas and Technology Combinations. Methods of Information in Medicine 2017;56(S 01):e105
CrossRef -
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
CrossRef -
Turner-McGrievy GM, Helander EE, Kaipainen K, Perez-Macias JM, 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
CrossRef -
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
CrossRef -
Darcy AM, 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
CrossRef -
Ali ZC, Shakir S, Aslam TM. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86
CrossRef -
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
CrossRef -
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
CrossRef -
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
CrossRef -
. Interventions to accelerate change towards a healthier diet. Proceedings of the Nutrition Society 2018;77(2):106
CrossRef -
Mangieri CW, Johnson RJ, Sweeney LB, Choi YU, Wood JC. Mobile health applications enhance weight loss efficacy following bariatric surgery. Obesity Research & Clinical Practice 2019;13(2):176
CrossRef -
Zhang H, Jiang Y, Nguyen HD, Poo DCC, 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)
CrossRef -
Bobian M, Kandinov A, El‐Kashlan N, Svider PF, Folbe AJ, Mayerhoff R, Eloy JA, Raza SN. Mobile applications and patient education: Are currently available GERD mobile apps sufficient?. The Laryngoscope 2017;127(8):1775
CrossRef -
Brown T, Banks M, Hughes BG, 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
CrossRef -
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
CrossRef -
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
CrossRef -
Pope Z, Lee JE, Zeng N, Lee HY, Gao Z. Feasibility of smartphone application and social media intervention on breast cancer survivors’ health outcomes. Translational Behavioral Medicine 2019;9(1):11
CrossRef -
Fakih El Khoury C, Karavetian M, Halfens RJ, Crutzen R, Khoja L, Schols JM. 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
CrossRef -
Feigin VL, 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 PA, Arroll B, Poulton R, Ratnasabathy Y, Tobias M, Cabral N, Martins SC, Furtado LE, Lindsay P, Saposnik G, Giroud M, Béjot Y, Hacke W, Mehndiratta MM, Pandian JD, Gupta S, Padma V, Mandal DK, Kokubo Y, Ibrahim NM, Sahathevan R, Fu H, Wang W, Liu L, Hou Z, Goncalves AF, Correia M, Varakin Y, Kravchenko M, Piradov M, Saadah M, Thrift AG, Cadilhac D, Davis S, Donnan G, Lopez AD, Hankey GJ, Maujean A, Kendall E, Brainin M, Abd-Allah F, Bornstein NM, Caso V, Marquez-Romero JM, Akinyemi RO, Bin Dhim NF, Norrving B, Sindi S, Kivipelto M, Mendis S, Ikram MA, Hofman A, Mirza SS, Rothwell PM, Sandercock P, Shakir R, Sacco RL, Culebras A, Roth GA, Moradi-Lakeh M, Murray C, Narayan KV, Mensah GA, Wiebers D, Moran AE. New Strategy to Reduce the Global Burden of Stroke. Stroke 2015;46(6):1740
CrossRef -
Rodriguez Hermosa JL, Fuster Gomila A, Puente Maestu L, Amado Diago CA, Callejas González FJ, Malo De Molina Ruiz R, Fuentes Ferrer ME, Álvarez Sala-Walther JL, 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
CrossRef -
Tanenbaum ML, Ross KM, Wing RR. Overeat today, skip the scale tomorrow: An examination of caloric intake predicting nonadherence to daily self‐weighing. Obesity 2016;24(11):2341
CrossRef -
Braz VN, Lopes MHBDM. Evaluation of mobile applications related to nutrition. Public Health Nutrition 2018;:1
CrossRef -
Butryn ML, Godfrey KM, Martinelli MK, Roberts SR, Forman EM, Zhang F. Digital self‐monitoring: Does adherence or association with outcomes differ by self‐monitoring target?. Obesity Science & Practice 2020;6(2):126
CrossRef -
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
CrossRef -
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):205427041984382
CrossRef -
Feigin VL, Norrving B, Mensah GA. Primary prevention of cardiovascular disease through population-wide motivational strategies: insights from using smartphones in stroke prevention. BMJ Global Health 2017;2(2):e000306
CrossRef -
Alqahtani AS, BinDhim NF, Tashani M, Willaby HW, Wiley KE, Heywood AE, 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
CrossRef -
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
CrossRef -
Ahn JS, Lee H, Kim J, Park H, Kim DW, Lee JE. 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
CrossRef -
Ehlers DK, Fanning J, Awick EA, Kramer AF, McAuley E, Buchowski M. Contamination by an Active Control Condition in a Randomized Exercise Trial. PLOS ONE 2016;11(10):e0164246
CrossRef -
Gregory-Smith D, Manika D. Consumers’ identities and compartmentalisation tendencies in alcohol consumption. Journal of Marketing Management 2017;33(11-12):942
CrossRef -
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
CrossRef -
. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348
CrossRef -
Burke LE, Zheng Y, Ma Q, Mancino J, Loar I, Music E, Styn M, Ewing L, French B, Sieworek D, Smailagic A, Sereika SM. The SMARTER pilot study: Testing feasibility of real-time feedback for dietary self-monitoring. Preventive Medicine Reports 2017;6:278
CrossRef -
. Mobile Technology for the Practice of Pathology. Advances in Anatomic Pathology 2016;23(2):118
CrossRef -
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
CrossRef -
Serrano KJ, Yu M, Coa KI, Collins LM, Atienza AA. Mining Health App Data to Find More and Less Successful Weight Loss Subgroups. Journal of Medical Internet Research 2016;18(6):e154
CrossRef -
. 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
CrossRef -
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
CrossRef -
Lee JY, Park H, Min YH. Transtheoretical Model-based Nursing Intervention on Lifestyle Change: A Review Focused on Intervention Delivery Methods. Asian Nursing Research 2015;9(2):158
CrossRef -
. Doing Away with the Agential Bias: Agency and Patiency in Health Monitoring Applications. Philosophy & Technology 2019;32(1):135
CrossRef -
Dute DJ, Bemelmans WJE, 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
CrossRef -
Schippers M, Adam PCG, Smolenski DJ, Wong HTH, de Wit JBF. 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
CrossRef -
Lancaster R, Radd‐Vagenas S, Fiatarone Singh M, Noble Y, Daniel K, Mavros Y, Sachdev PS, Lautenschlager N, Cox K, Brodaty H, O'Leary F, Flood VM. Electronic food records among middle‐aged and older people: A comparison of self‐reported and dietitian‐assisted information. Nutrition & Dietetics 2021;78(2):145
CrossRef -
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
CrossRef -
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
CrossRef -
Ashrafzadeh S, Hamdy O. Patient-Driven Diabetes Care of the Future in the Technology Era. Cell Metabolism 2019;29(3):564
CrossRef -
Dutton GR, Laitner MH, Perri MG. 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)
CrossRef -
McCarroll ML, Armbruster S, Pohle-Krauza RJ, Lyzen AM, Min S, Nash DW, Roulette GD, Andrews SJ, von Gruenigen VE. Feasibility of a lifestyle intervention for overweight/obese endometrial and breast cancer survivors using an interactive mobile application. Gynecologic Oncology 2015;137(3):508
CrossRef -
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
CrossRef -
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
CrossRef -
Partridge SR, Allman-Farinelli M, McGeechan K, Balestracci K, Wong AT, Hebden L, Harris MF, 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)
CrossRef -
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
CrossRef -
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
CrossRef -
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
CrossRef -
Darby A, Strum MW, Holmes E, Gatwood J. A Review of Nutritional Tracking Mobile Applications for Diabetes Patient Use. Diabetes Technology & Therapeutics 2016;18(3):200
CrossRef -
Eikey EV, Reddy MC, Booth KM, Kvasny L, Blair JL, Li V, Poole ES. 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
CrossRef -
Lim S, O'Reilly S, Behrens H, Skinner T, Ellis I, Dunbar JA. Effective strategies for weight loss in post‐partum women: a systematic review and meta‐analysis. Obesity Reviews 2015;16(11):972
CrossRef -
Peng W, Kanthawala S, Yuan S, Hussain SA. A qualitative study of user perceptions of mobile health apps. BMC Public Health 2016;16(1)
CrossRef -
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
CrossRef -
Mata J, Pecorelli N, Kaneva P, Moldoveanu D, Gosselin-Tardiff A, Alhashemi M, Robitaille S, Balvardi S, Lee L, Stein BL, Liberman S, Charlebois P, Fiore JF, Feldman LS. 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
CrossRef -
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)
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 -
Holzmann SL, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31
CrossRef -
Quante M, Kaplan ER, Rueschman M, Cailler M, Buxton OM, Redline S. Practical considerations in using accelerometers to assess physical activity, sedentary behavior, and sleep. Sleep Health 2015;1(4):275
CrossRef -
Sharp DB, Allman-Farinelli M. Feasibility and validity of mobile phones to assess dietary intake. Nutrition 2014;30(11-12):1257
CrossRef -
Mason AE, Jhaveri K, Cohn M, Brewer JA. Testing a mobile mindful eating intervention targeting craving-related eating: feasibility and proof of concept. Journal of Behavioral Medicine 2018;41(2):160
CrossRef -
Morrison LG, Hargood C, Lin SX, Dennison L, Joseph J, Hughes S, Michaelides DT, Johnston D, Johnston M, Michie S, Little P, Smith PW, Weal MJ, 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
CrossRef -
Tort E, Aguilar-Martínez A, Medina FX, 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
CrossRef -
Park E, Lee HY. Environment Factors Affecting Childhood Obesity: Voices from Students, Parents, and Teachers with Photograph. Journal of Korean Academy of Nursing 2019;49(3):254
CrossRef -
. Behavioral Nutrition Interventions Using e- and m-Health Communication Technologies: A Narrative Review. Annual Review of Nutrition 2016;36(1):647
CrossRef -
Payne HE, Lister C, West JH, Bernhardt JM. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20
CrossRef -
Wills AM, Garry J, Hubbard J, Mezoian T, Breen CT, Ortiz-Miller C, Nalipinski P, Sullivan S, Berry JD, Cudkowicz M, Paganoni S, Chan J, Macklin EA. Nutritional counseling with or without mobile health technology: a randomized open-label standard-of-care-controlled trial in ALS. BMC Neurology 2019;19(1)
CrossRef -
Nierenberg AA, Hearing CM, Sande Mathias I, Young LT, Sylvia LG. 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
CrossRef -
Wilson T, Garcia-Perez I, Posma JM, Lloyd AJ, Chambers ES, Tailliart K, Zubair H, Beckmann M, Mathers JC, 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
CrossRef -
Buchan K, Morgan HM. Using the Onitor® Track for weight loss: A mixed methods study among overweight and obese women. Health Informatics Journal 2020;26(3):1841
CrossRef -
Raaijmakers LC, Pouwels S, Berghuis KA, Nienhuijs SW. Technology-based interventions in the treatment of overweight and obesity: A systematic review. Appetite 2015;95:138
CrossRef -
Pourzanjani A, Quisel T, Foschini L, Earnest CP. Adherent Use of Digital Health Trackers Is Associated with Weight Loss. PLOS ONE 2016;11(4):e0152504
CrossRef -
Lieffers JR, Vance VA, Hanning RM. Use of Mobile Device Applications In Canadian Dietetic Practice. Canadian Journal of Dietetic Practice and Research 2014;75(1):41
CrossRef -
Ho TJH, Lee CCS, Wong SN, 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
CrossRef -
Singh K, Drouin K, Newmark LP, Filkins M, Silvers E, Bain PA, Zulman DM, Lee J, Rozenblum R, Pabo E, Landman A, Klinger EV, Bates DW. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136
CrossRef -
Adamo KB, Shen GX, Mottola M, Nascimento S, Jean-Philippe S, Ferraro ZM, Nerenberg K, Smith G, Ohari R, Gaudet L, Piccinini-Vallis H, McDonald S, Atkinson S, Godbout A, Robitaille J, Davidge ST, Gruslin A, Prud'homme D, Stacey D, Rossiter M, Goldfield GS, 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:NMI.S14146
CrossRef -
Zeng EY, Heffner JL, Copeland WK, Mull KE, Bricker JB. Get with the program: Adherence to a smartphone app for smoking cessation. Addictive Behaviors 2016;63:120
CrossRef -
Vangeepuram N, Williams N, Constable J, Waldman L, Lopez-Belin P, Phelps-Waldropt L, Horowitz CR. TEEN HEED: Design of a clinical-community youth diabetes prevention intervention. Contemporary Clinical Trials 2017;57:23
CrossRef -
Carter MC, Burley VJ, Cade JE. Handheld Electronic Technology for Weight Loss in Overweight/Obese Adults. Current Obesity Reports 2014;3(3):307
CrossRef -
Kim JY, Wineinger NE, Steinhubl SR. 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
CrossRef -
Paldan K, Sauer H, Wagner N. Promoting inequality? Self-monitoring applications and the problem of social justice. AI & SOCIETY 2023;38(6):2597
CrossRef -
Lewis TL, Wyatt JC. mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use. Journal of Medical Internet Research 2014;16(9):e210
CrossRef -
. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544
CrossRef -
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
CrossRef -
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
CrossRef -
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
CrossRef -
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
CrossRef -
Patel ML, Hopkins CM, Brooks TL, Bennett GG. Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(2):e12209
CrossRef -
Frie K, Hartmann-Boyce J, Jebb SA, 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
CrossRef -
. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics 2016;87:75
CrossRef -
Thompson-Felty C, Johnston CS. 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
CrossRef -
Du H, Venkatakrishnan A, Youngblood GM, 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
CrossRef -
Ong AA, Gillespie MB. Overview of smartphone applications for sleep analysis. World Journal of Otorhinolaryngology - Head and Neck Surgery 2016;2(1):45
CrossRef -
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
CrossRef -
Wang Q, Egelandsdal B, Amdam GV, Almli VL, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33
CrossRef -
Arens-Volland AG, 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
CrossRef -
Fuller NR, Fong M, Gerofi J, Ferkh F, Leung C, Leung L, Zhang S, Skilton M, Caterson ID. Comparison of an electronic versus traditional food diary for assessing dietary intake—A validation study. Obesity Research & Clinical Practice 2017;11(6):647
CrossRef -
Szmeja MA, Cramp C, Grivell RM, Deussen AR, Yelland LN, Dodd JM. 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)
CrossRef -
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
CrossRef -
Lim SL, Johal J, Ong KW, Han CY, Chan YH, Lee YM, Loo WM. 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
CrossRef -
Kim JY, Wineinger NE, Taitel M, Radin JM, 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
CrossRef -
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
CrossRef -
Cho J, Lee HE, Quinlan M. Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones. Journal of American College Health 2017;65(7):437
CrossRef -
Tilston TW, Brown RD, Wateridge MJ, Arms-Williams B, Walker JJ, Sun Y, Wells T. A Novel Automated System Yields Reproducible Temporal Feeding Patterns in Laboratory Rodents. The Journal of Nutrition 2019;149(9):1674
CrossRef -
Rodgers RF, Pernal W, Matsumoto A, Shiyko M, Intille S, Franko DL. Capitalizing on mobile technology to support healthy eating in ethnic minority college students. Journal of American College Health 2016;64(2):125
CrossRef -
Cho J, Kim SJ. Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory. Journal of Internet Computing and Services 2015;16(1):101
CrossRef -
Ni Mhurchu C, Whittaker R, McRobbie H, Ball K, Crawford D, Michie J, Jiang Y, Maddison R, Waterlander W, Myers K. Feasibility, acceptability and potential effectiveness of a mobile health (mHealth) weight management programme for New Zealand adults. BMC Obesity 2014;1(1)
CrossRef -
. La comunicazione della salute attraverso i social media e le applicazioni. SOCIOLOGIA DELLA COMUNICAZIONE 2014;(48):39
CrossRef -
Eldridge A, Piernas C, Illner A, Gibney M, Gurinović M, de Vries J, Cade J. Evaluation of New Technology-Based Tools for Dietary Intake Assessment—An ILSI Europe Dietary Intake and Exposure Task Force Evaluation. Nutrients 2018;11(1):55
CrossRef -
Aguilar-Martínez A, Tort E, Medina FX, Saigí-Rubió F. Posibilidades de las aplicaciones móviles para el abordaje de la obesidad según los profesionales. Gaceta Sanitaria 2015;29(6):419
CrossRef -
Steinert A, Haesner M, Tetley A, Steinhagen-Thiessen E. Self-Monitoring of Health-Related Goals in Older Adults with Use of a Smartphone Application. Activities, Adaptation & Aging 2016;40(2):81
CrossRef -
Jimoh F, Lund EK, Harvey LJ, Frost C, Lay WJ, Roe MA, Berry R, Finglas PM. Comparing Diet and Exercise Monitoring Using Smartphone App and Paper Diary: A Two-Phase Intervention Study. JMIR mHealth and uHealth 2018;6(1):e17
CrossRef -
Chin SO, Keum C, Woo J, Park J, Choi HJ, Woo J, Rhee SY. Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity. Scientific Reports 2016;6(1)
CrossRef -
Palacios C, Torres M, López D, Trak-Fellermeier M, Coccia C, Pérez C. Effectiveness of the Nutritional App “MyNutriCart” on Food Choices Related to Purchase and Dietary Behavior: A Pilot Randomized Controlled Trial. Nutrients 2018;10(12):1967
CrossRef -
Gomis-Pastor M, Rodriguez-Murphy E, Feliu A, Ontiveros G, Garcia-Cuy�s F, Salazar A, Roig E, Mangues MA. Strategies for the follow-up of patients with chronic diseases and polypharmacy: development and implementation of a new health care approach based on mobile technology (DIPP-mHeart Study). (Preprint). JMIR Formative Research 2018;
CrossRef -
. Measuring diet in the 21st century: use of new technologies. Proceedings of the Nutrition Society 2017;76(3):276
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 -
Miller T, Chandler L, Mouttapa M. A Needs Assessment, Development, and Formative Evaluation of a Health Promotion Smartphone Application for College Students. American Journal of Health Education 2015;46(4):207
CrossRef -
Isetta V, Torres M, González K, Ruiz C, Dalmases M, Embid C, Navajas D, Farré R, Montserrat JM. A New mHealth application to support treatment of sleep apnoea patients. Journal of Telemedicine and Telecare 2017;23(1):14
CrossRef -
Fazzino TL, Sporn NJ, Befort CA. A qualitative evaluation of a group phone-based weight loss intervention for rural breast cancer survivors: Themes and mechanisms of success. Supportive Care in Cancer 2016;24(7):3165
CrossRef -
Nieroda M, Keeling K, Keeling D. Healthcare Self-Management Tools: Promotion or Prevention Regulatory Focus? A Scale (PR-PV) Development and Validation. Journal of Marketing Theory and Practice 2015;23(1):57
CrossRef -
Han M, Lee E. Effectiveness of Mobile Health Application Use to Improve Health Behavior Changes: A Systematic Review of Randomized Controlled Trials. Healthcare Informatics Research 2018;24(3):207
CrossRef -
Walawender L, Patterson J, Strouse R, Ketz J, Saxena V, Alexy E, Schwaderer A. Mobile Technology Application for Improved Urine Concentration Measurement Pilot Study. Frontiers in Pediatrics 2018;6
CrossRef -
Zhang X, Xu X. Continuous use of fitness apps and shaping factors among college students: A mixed-method investigation. International Journal of Nursing Sciences 2020;7:S80
CrossRef -
Plow M, Golding M. Using mHealth Technology in a Self-Management Intervention to Promote Physical Activity Among Adults With Chronic Disabling Conditions: Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e185
CrossRef -
Zhou M, Fukuoka Y, Mintz Y, Goldberg K, Kaminsky P, Flowers E, Aswani A. Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(1):e28
CrossRef -
Payne JE, Turk MT, Kalarchian MA, Pellegrini CA. Defining Adherence to Dietary Self-Monitoring Using a Mobile App: A Narrative Review. Journal of the Academy of Nutrition and Dietetics 2018;118(11):2094
CrossRef -
Rodriguez-Paras C, Tippey K, Brown E, Sasangohar F, Creech S, Kum H, Lawley M, Benzer JK. Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review. JMIR mHealth and uHealth 2017;5(10):e156
CrossRef -
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
CrossRef -
Akdur G, Aydin MN, Akdur G. Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik. JMIR mHealth and uHealth 2020;8(10):e16911
CrossRef -
Serdarevic M, Fazzino TL, MacLean CD, Rose GL, Helzer JE. Recruiting 9126 Primary Care Patients by Telephone: Characteristics of Participants Reached on Landlines, Basic Cell Phones, and Smartphones. Population Health Management 2016;19(3):212
CrossRef -
Sieverink F, Kelders SM, van Gemert-Pijnen JE. Clarifying the Concept of Adherence to eHealth Technology: Systematic Review on When Usage Becomes Adherence. Journal of Medical Internet Research 2017;19(12):e402
CrossRef -
Triantafyllidis AK, Velardo C, Salvi D, Shah SA, Koutkias VG, Tarassenko L. A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare. IEEE Journal of Biomedical and Health Informatics 2017;21(1):218
CrossRef -
Azar KM, Lesser LI, Laing BY, Stephens J, Aurora MS, Burke LE, Palaniappan LP. Mobile Applications for Weight Management. American Journal of Preventive Medicine 2013;45(5):583
CrossRef -
Jiang Y, Sereika S, DeVito Dabbs A, Handler S, Schlenk E. Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation. Applied Clinical Informatics 2016;07(02):430
CrossRef -
Claudel SE, Bertoni AG. Exploring the Use of Personal Technology in Type 2 Diabetes Management Among Ethnic Minority Patients: Cross-Sectional Analysis of Survey Data from the Lifestyle Intervention for the Treatment of Diabetes Study (LIFT Diabetes). JMIR Diabetes 2018;3(1):e5
CrossRef -
Barnett J, Harricharan M, Fletcher D, Gilchrist B, Coughlan J. myPace: An Integrative Health Platform for Supporting Weight Loss and Maintenance Behaviors. IEEE Journal of Biomedical and Health Informatics 2015;19(1):109
CrossRef -
Santoro E, Castelnuovo G, Zoppis I, Mauri G, Sicurello F. Social media and mobile applications in chronic disease prevention and management. Frontiers in Psychology 2015;6
CrossRef -
Frie K, Hartmann-Boyce J, Pilbeam C, Jebb S, Aveyard P. Analysing self-regulatory behaviours in response to daily weighing: a think-aloud study with follow-up interviews. Psychology & Health 2020;35(1):16
CrossRef -
Lev-On A, Lowenstein-Barkai H. Viewing diaries in an age of new media: An exploratory analysis of mobile phone app diaries versus paper diaries. Methodological Innovations 2019;12(1):205979911984444
CrossRef -
Chen L, Wang W, Du X, Rao X, van Velthoven MH, Yang R, Zhang L, Koepsell JC, Li Y, Wu Q, Zhang Y. Effectiveness of a smart phone app on improving immunization of children in rural Sichuan Province, China: study protocol for a paired cluster randomized controlled trial. BMC Public Health 2014;14(1)
CrossRef -
Knight E, Petrella RJ. Prescribing Physical Activity for Healthy Aging: Longitudinal Follow-Up and Mixed Method Analysis of a Primary Care Intervention. The Physician and Sportsmedicine 2014;42(4):30
CrossRef -
Kim M, Kim Y, Go Y, Lee S, Na M, Lee Y, Choi S, Choi HJ. 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
CrossRef -
Chu IJH, Lim AYT, Ng CLW. Effects of meaningful weight loss beyond symptomatic relief in adults with knee osteoarthritis and obesity: a systematic review and meta‐analysis. Obesity Reviews 2018;19(11):1597
CrossRef -
Kliemann N, Croker H, Johnson F, Beeken RJ. Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study. JMIR mHealth and uHealth 2019;7(5):e12326
CrossRef -
DiFilippo KN, Huang W, Andrade JE, Chapman-Novakofski KM. The use of mobile apps to improve nutrition outcomes: A systematic literature review. Journal of Telemedicine and Telecare 2015;21(5):243
CrossRef -
Choo S, Kim JY, Jung SY, Kim S, Kim JE, Han JS, Kim S, Kim JH, Kim J, Kim Y, Kim D, Steinhubl S. Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship. JMIR mHealth and uHealth 2016;4(1):e24
CrossRef -
Cho J, Park D, Lee HE. Cognitive Factors of Using Health Apps: Systematic Analysis of Relationships Among Health Consciousness, Health Information Orientation, eHealth Literacy, and Health App Use Efficacy. Journal of Medical Internet Research 2014;16(5):e125
CrossRef -
Alnasser A, Kyle J, Aloumi N, Al-Khalifa A, Marais D. The Twazon Arabic Weight Loss App: App-Based Intervention for Saudi Women With Obesity. JMIR mHealth and uHealth 2019;7(5):e10923
CrossRef -
Arean PA, Hallgren KA, Jordan JT, Gazzaley A, Atkins DC, Heagerty PJ, Anguera JA. The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial. Journal of Medical Internet Research 2016;18(12):e330
CrossRef -
van Beurden SB, Simmons SI, Tang JCH, Mewse AJ, Abraham C, Greaves CJ. Informing the development of online weight management interventions: a qualitative investigation of primary care patient perceptions. BMC Obesity 2018;5(1)
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 -
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
CrossRef -
Frie K, Hartmann-Boyce J, Jebb S, Oke J, Aveyard P. Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis. Journal of Medical Internet Research 2020;22(3):e15790
CrossRef -
Oh B, Cho B, Han MK, Choi H, Lee MN, Kang H, Lee CH, Yun H, Kim Y. The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial. JMIR mHealth and uHealth 2015;3(3):e83
CrossRef -
Lee J, Song S, Ahn J, Kim Y, Lee J. Use of a Mobile Application for Self-Monitoring Dietary Intake: Feasibility Test and an Intervention Study. Nutrients 2017;9(7):748
CrossRef -
Macridis S, Johnston N, Johnson S, Vallance JK, Jan Y. Consumer physical activity tracking device ownership and use among a population-based sample of adults. PLOS ONE 2018;13(1):e0189298
CrossRef -
Azevedo ARP, de Sousa HML, Monteiro JAF, Lima ARNP. Future perspectives of Smartphone applications for rheumatic diseases self-management. Rheumatology International 2015;35(3):419
CrossRef -
Melton BF, Bigham LE, Wilson C, Buman MP. Feasibility and Acceptability of Smartphones and Wearable Devices as an Intervention Tool for College-Aged African American Females in an Experimental Physical Activity Study. International Journal of Kinesiology in Higher Education 2017;1(2):63
CrossRef -
. Research Methods in Medicine and Health Sciences. MOJ Anatomy & Physiology 2016;2(4)
CrossRef -
Subhi MA, Ali SH, Mohammed MA. Vision-Based Approaches for Automatic Food Recognition and Dietary Assessment: A Survey. IEEE Access 2019;7:35370
CrossRef -
Jacobs S, Radnitz C, Hildebrandt T. Adherence as a predictor of weight loss in a commonly used smartphone application. Obesity Research & Clinical Practice 2017;11(2):206
CrossRef -
Barkley JE, Lepp A, Santo A, Glickman E, Dowdell B. The relationship between fitness app use and physical activity behavior is mediated by exercise identity. Computers in Human Behavior 2020;108:106313
CrossRef -
Lee C, Lee K, Lee D. Mobile Healthcare Applications and Gamification for Sustained Health Maintenance. Sustainability 2017;9(5):772
CrossRef -
Salgado García FI, Derefinko KJ, Bursac Z, Klesges RC, Ebbert JO, Womack CR, Krukowski RA. Fit & quit: An efficacy trial of two behavioral post-cessation weight gain interventions. Contemporary Clinical Trials 2019;76:31
CrossRef -
Asbjørnsen RA, Smedsrød ML, Solberg Nes L, Wentzel J, Varsi C, Hjelmesæth J, van Gemert-Pijnen JE. Persuasive System Design Principles and Behavior Change Techniques to Stimulate Motivation and Adherence in Electronic Health Interventions to Support Weight Loss Maintenance: Scoping Review. Journal of Medical Internet Research 2019;21(6):e14265
CrossRef -
Rodgers RF, Franko DL, Shiyko M, Intille S, Wilson K, O’Carroll D, Lovering M, Matsumoto A, Iannuccilli A, Luk S, Shoemaker H. Exploring healthy eating among ethnic minority students using mobile technology: Feasibility and adherence. Health Informatics Journal 2016;22(3):440
CrossRef -
Ali ZC, Shakir S, Aslam TM. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86
CrossRef -
Ziesemer K, König LM, Boushey CJ, Villinger K, Wahl DR, Butscher S, Müller J, Reiterer H, Schupp HT, Renner B. Occurrence of and Reasons for “Missing Events” in Mobile Dietary Assessments: Results From Three Event-Based Ecological Momentary Assessment Studies. JMIR mHealth and uHealth 2020;8(10):e15430
CrossRef -
. ‘I Just Want It to Be Done, Done, Done!’ Food Tracking Apps, Affects, and Agential Capacities. Multimodal Technologies and Interaction 2018;2(2):29
CrossRef -
Smith KL, Kerr DA, Fenner AA, Straker LM. Adolescents Just Do Not Know What They Want: A Qualitative Study to Describe Obese Adolescents’ Experiences of Text Messaging to Support Behavior Change Maintenance Post Intervention. Journal of Medical Internet Research 2014;16(4):e103
CrossRef -
Jung J, Jeon SH, Bae HJ, Cho Y, Hur Y, Sung EJ, Kang J. Development of a Smartphone Application for 4th-6th Grade Elementary Students Aimed to Prevent Childhood Obesity. The Korean Journal of Obesity 2016;25(2):99
CrossRef -
Elaheebocus SMRA, Weal M, Morrison L, Yardley L. Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review. Journal of Medical Internet Research 2018;20(2):e20
CrossRef -
Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1)
CrossRef -
Luo D, Wang P, Lu F, Elias J, Sparks JA, Lee YC. Mobile Apps for Individuals With Rheumatoid Arthritis. JCR: Journal of Clinical Rheumatology 2019;25(3):133
CrossRef -
López D, Torres M, Vélez J, Grullon J, Negrón E, Pérez CM, Palacios C. Development and Evaluation of a Nutritional Smartphone Application for Making Smart and Healthy Choices in Grocery Shopping. Healthcare Informatics Research 2017;23(1):16
CrossRef -
Nguyen HH, Silva JN. Use of smartphone technology in cardiology. Trends in Cardiovascular Medicine 2016;26(4):376
CrossRef -
Jacobs DR, Petersen KS, Svendsen K, Ros E, Sloan CB, Steffen LM, Tapsell LC, Kris-Etherton PM. Considerations to facilitate a US study that replicates PREDIMED. Metabolism 2018;85:361
CrossRef -
Simpson SA, 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
CrossRef -
Nikniaz Z, Shirmohammadi M, Akbari Namvar Z. Development and effectiveness assessment of a Persian-language smartphone application for celiac patients: A randomized controlled clinical trial. Patient Education and Counseling 2021;104(2):337
CrossRef -
Okorodudu DE, Bosworth HB, Corsino L. Innovative interventions to promote behavioral change in overweight or obese individuals: A review of the literature. Annals of Medicine 2015;47(3):179
CrossRef -
Menon U, Ashing K, Chang MW, Christy SM, Friberg-Felsted K, Rivas VG, Gwede CK, Lu Q, Meade CD, Sly J, Wang M, Yanez B, Yeary K, Yi JC, Alcaraz KI. Application of the ConNECT Framework to Precision Health and Health Disparities. Nursing Research 2019;68(2):99
CrossRef -
Banerjee P, Mendu VVR, Korrapati D, Gavaravarapu SM. 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
CrossRef -
Darcy AM, Lock J. Using Technology to Improve Treatment Outcomes for Children and Adolescents with Eating Disorders. Child and Adolescent Psychiatric Clinics of North America 2017;26(1):33
CrossRef -
Lee H, Uhm KE, Cheong IY, Yoo JS, Chung SH, Park YH, Lee JY, Hwang JH. Patient Satisfaction with Mobile Health (mHealth) Application for Exercise Intervention in Breast Cancer Survivors. Journal of Medical Systems 2018;42(12)
CrossRef -
Guertler D, Vandelanotte C, Kirwan M, Duncan MJ. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176
CrossRef -
Feigin VL, Norrving B, George MG, Foltz JL, Roth GA, Mensah GA. Prevention of stroke: a strategic global imperative. Nature Reviews Neurology 2016;12(9):501
CrossRef -
Painter SL, Ahmed R, Hill JO, Kushner RF, Lindquist R, Brunning S, Margulies A. What Matters in Weight Loss? An In-Depth Analysis of Self-Monitoring. Journal of Medical Internet Research 2017;19(5):e160
CrossRef -
Piwek L, Ellis DA, Andrews S, Joinson A. The Rise of Consumer Health Wearables: Promises and Barriers. PLOS Medicine 2016;13(2):e1001953
CrossRef -
Rangan AM, O'Connor S, Giannelli V, Yap ML, Tang LM, Roy R, Louie JCY, Hebden L, Kay J, Allman-Farinelli M. Electronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls. JMIR mHealth and uHealth 2015;3(4):e98
CrossRef -
Maringer M, van’t Veer P, Klepacz N, Verain MCD, Normann A, Ekman S, Timotijevic L, Raats MM, 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)
CrossRef -
Direito A, Rawstorn J, Mair J, Daryabeygi-Khotbehsara R, Maddison R, Tai ES. Multifactorial e- and mHealth interventions for cardiovascular disease primary prevention: Protocol for a systematic review and meta-analysis of randomised controlled trials. DIGITAL HEALTH 2019;5:205520761989048
CrossRef -
Ahmed AH, Roumani AM, Szucs K, Zhang L, King D. The Effect of Interactive Web-Based Monitoring on Breastfeeding Exclusivity, Intensity, and Duration in Healthy, Term Infants After Hospital Discharge. Journal of Obstetric, Gynecologic & Neonatal Nursing 2016;45(2):143
CrossRef -
Bhattarai P, Newton-John TRO, Phillips JL. Quality and Usability of Arthritic Pain Self-Management Apps for Older Adults: A Systematic Review. Pain Medicine 2018;19(3):471
CrossRef -
. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11
CrossRef -
Turner-McGrievy GM, Wilcox S, Kaczynski AT, Spruijt-Metz D, Hutto BE, Muth ER, Hoover A. Crowdsourcing for self-monitoring: Using the Traffic Light Diet and crowdsourcing to provide dietary feedback. DIGITAL HEALTH 2016;2:205520761665721
CrossRef -
Pah AR, Rasmussen-Torvik LJ, Goel S, Greenland P, Kho AN. Big Data: What Is It and What Does It Mean for Cardiovascular Research and Prevention Policy. Current Cardiovascular Risk Reports 2015;9(1)
CrossRef -
Tárraga Marcos M, Panisello Royo J, Carbayo Herencia J, Rosich Domenech N, Alins Presas J, Castell Panisello E, Tárraga López P. Análisis de relevancia clínica aplicado a 3 métodos de reducción de peso en pacientes con sobrepeso u obesidad seguidos durante un año. Hipertensión y Riesgo Vascular 2018;35(1):5
CrossRef -
Singh K, Diamantidis CJ, Ramani S, Bhavsar NA, Mara P, Warner J, Rodriguez J, Wang T, Wright-Nunes J. Patients’ and Nephrologists’ Evaluation of Patient-Facing Smartphone Apps for CKD. Clinical Journal of the American Society of Nephrology 2019;14(4):523
CrossRef -
Bonilla C, Brauer P, Royall D, Keller H, Hanning RM, DiCenso A. Use of electronic dietary assessment tools in primary care: an interdisciplinary perspective. BMC Medical Informatics and Decision Making 2015;15(1)
CrossRef -
Barrett MA, Humblet O, Hiatt RA, Adler NE. Big Data and Disease Prevention: From Quantified Self to Quantified Communities. Big Data 2013;1(3):168
CrossRef -
Prins-van Ginkel AC, de Hoog ML, Uiterwaal C, Smit HA, Bruijning-Verhagen PC. Detecting Acute Otitis Media Symptom Episodes Using a Mobile App: Cohort Study. JMIR mHealth and uHealth 2017;5(11):e181
CrossRef -
Dharma KK, Parellangi . Use of mobile-stroke risk scale and lifestyle guidance promote healthy lifestyles and decrease stroke risk factors. International Journal of Nursing Sciences 2020;7(4):401
CrossRef -
. Dr. Google, The Specialist in Diabetes and Metabolic Diseases. Romanian Journal of Diabetes Nutrition and Metabolic Diseases 2014;21(3):221
CrossRef -
Sarcona A, Kovacs L, Wright J, Williams C. Differences in Eating Behavior, Physical Activity, and Health-related Lifestyle Choices between Users and Nonusers of Mobile Health Apps. American Journal of Health Education 2017;48(5):298
CrossRef -
Mao L, Bai W, Huo Y, Zhou Y, Yao C, Xi S, Chen X, Sun Y. Cross-sectional study of contraceptive use among Chinese women of reproductive age: results based on a mobile application (APP)-derived data. Archives of Gynecology and Obstetrics 2018;297(5):1193
CrossRef -
Shen C, Wang MP, Chu JT, Wan A, Viswanath K, Chan SSC, Lam TH. Health App Possession Among Smartphone or Tablet Owners in Hong Kong: Population-Based Survey. JMIR mHealth and uHealth 2017;5(6):e77
CrossRef -
Rijsbergen M, Niemeyer‐van der Kolk T, Rijneveld R, Pinckaers J, Meshcheriakov I, Bouwes Bavinck J, van Doorn M, Hogendoorn G, Feiss G, Cohen A, Burggraaf J, van Poelgeest M, Rissmann R. Mobile e‐diary application facilitates the monitoring of patient‐reported outcomes and a high treatment adherence for clinical trials in dermatology. Journal of the European Academy of Dermatology and Venereology 2020;34(3):633
CrossRef -
Bell K, Warnick E, Nicholson K, Ulcoq S, Kim SJ, Schroeder GD, Vaccaro A. Patient Adoption and Utilization of a Web-Based and Mobile-Based Portal for Collecting Outcomes After Elective Orthopedic Surgery. American Journal of Medical Quality 2018;33(6):649
CrossRef -
Chen J, Berkman W, Bardouh M, Ng CYK, 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
CrossRef -
Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039
CrossRef -
Kozak AT, Buscemi J, Hawkins MAW, Wang ML, Breland JY, Ross KM, Kommu A. Technology-based interventions for weight management: current randomized controlled trial evidence and future directions. Journal of Behavioral Medicine 2017;40(1):99
CrossRef -
Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894
CrossRef -
Manika D, Gregory‐Smith D, Antonetti P. Pride in Technology‐Based Health Interventions: A Double‐Edged Sword. Psychology & Marketing 2017;34(4):410
CrossRef -
BinDhim NF, McGeechan K, Trevena L. Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol. BMJ Open 2014;4(7):e005371
CrossRef -
Steinert A, Haesner M, Tetley A, Steinhagen-Thiessen E. Nutzungsverhalten einer Gesundheitsapplikation zum Selbstmonitoring von Senioren. Prävention und Gesundheitsförderung 2015;10(4):281
CrossRef -
Safran Naimark J, Madar Z, R Shahar D. The Impact of a Web-Based App (eBalance) in Promoting Healthy Lifestyles: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(3):e56
CrossRef -
Kinderman P, Hagan P, King S, Bowman J, Chahal J, Gan L, McKnight R, Waldon C, Smith M, Gilbertson J, Tai S. The feasibility and effectiveness of Catch It, an innovative CBT smartphone app. BJPsych Open 2016;2(3):204
CrossRef -
Palmer M, Sutherland J, Barnard S, Wynne A, Rezel E, Doel A, Grigsby-Duffy L, Edwards S, Russell S, Hotopf E, Perel P, Free C, Niaura R. The effectiveness of smoking cessation, physical activity/diet and alcohol reduction interventions delivered by mobile phones for the prevention of non-communicable diseases: A systematic review of randomised controlled trials. PLOS ONE 2018;13(1):e0189801
CrossRef -
Kwon M, Mun K, Lee JK, McLeod DM, D’Angelo J. Is mobile health all peer pressure? The influence of mass media exposure on the motivation to use mobile health apps. Convergence: The International Journal of Research into New Media Technologies 2017;23(6):565
CrossRef -
Lieffers JR, Arocha JF, Grindrod K, Hanning RM. Experiences and Perceptions of Adults Accessing Publicly Available Nutrition Behavior-Change Mobile Apps for Weight Management. Journal of the Academy of Nutrition and Dietetics 2018;118(2):229
CrossRef -
Ledford CJW, Womack JJ, Rider HA, Seehusen AB, Conner SJ, Lauters RA, Hodge JA. Unexpected Effects of a System-Distributed Mobile Application in Maternity Care: A Randomized Controlled Trial. Health Education & Behavior 2018;45(3):323
CrossRef -
Fino E, Mazzetti M. Monitoring healthy and disturbed sleep through smartphone applications: a review of experimental evidence. Sleep and Breathing 2019;23(1):13
CrossRef -
Terhorst Y, Rathner E, Baumeister H, Sander L. «Hilfe aus dem App-Store?»: Eine systematische Übersichtsarbeit und Evaluation von Apps zur Anwendung bei Depressionen. Verhaltenstherapie 2018;28(2):101
CrossRef -
Chen J, Cade JE, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104
CrossRef -
Nadal C, Sas C, Doherty G. Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement. Journal of Medical Internet Research 2020;22(7):e17256
CrossRef -
Riaz S, Sykes C. Are smartphone health applications effective in modifying obesity and smoking behaviours? A systematic review. Health and Technology 2015;5(2):73
CrossRef -
Wyatt JC, Thimbleby H, Rastall P, Hoogewerf J, Wooldridge D, Williams J. What makes a good clinical app? Introducing the RCP Health Informatics Unit checklist. Clinical Medicine 2015;15(6):519
CrossRef -
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
CrossRef -
Ivanova E, Lindner P, Ly KH, Dahlin M, Vernmark K, Andersson G, Carlbring P. Guided and unguided Acceptance and Commitment Therapy for social anxiety disorder and/or panic disorder provided via the Internet and a smartphone application: A randomized controlled trial. Journal of Anxiety Disorders 2016;44:27
CrossRef -
Marcano Belisario JS, Jamsek J, Huckvale K, O'Donoghue J, Morrison CP, Car J. Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods. Cochrane Database of Systematic Reviews 2015;2015(7)
CrossRef -
Senecal C, Widmer RJ, Larrabee BR, de Andrade M, Lerman LO, Lerman A, Lopez-Jimenez F. A Digital Health Weight Loss Program in 250,000 Individuals. Journal of Obesity 2020;2020:1
CrossRef -
Islam MM, Poly TN, Walther BA, (Jack) Li Y. Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis. JMIR mHealth and uHealth 2020;8(7):e17039
CrossRef -
Richter JM, Ha JB, Marx M, Campbell EJ, Pandolfi MC. A Digital Preprocedure Instruction Program for Outpatient Colonoscopy. Telemedicine and e-Health 2020;26(4):468
CrossRef -
Abdul Manaf Z, Hadi Ruslan A, Mat Ludin AF, Abdul Basir SM. Motivations, barriers and preferences to exercise among overweight and obese desk-based employees. International Journal of Sport and Exercise Psychology 2021;19(5):723
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 -
Dowd AJ, Warbeck CB, Tang KT, Fung T, Culos-Reed SN. MyHealthyGut: Findings from a pilot randomized controlled trial on adherence to a gluten-free diet and quality of life among adults with celiac disease or gluten intolerance. DIGITAL HEALTH 2020;6:205520762090362
CrossRef -
Naslund JA, Aschbrenner KA, Barre LK, Bartels SJ. Feasibility of Popular m-Health Technologies for Activity Tracking Among Individuals with Serious Mental Illness. Telemedicine and e-Health 2015;21(3):213
CrossRef -
Khokhar B, Jones J, Ronksley PE, Armstrong MJ, Caird J, Rabi D. Effectiveness of mobile electronic devices in weight loss among overweight and obese populations: a systematic review and meta-analysis. BMC Obesity 2014;1(1)
CrossRef -
Rohde A, Duensing A, Dawczynski C, Godemann J, Lorkowski S, Brombach C. An App to Improve Eating Habits of Adolescents and Young Adults (Challenge to Go): Systematic Development of a Theory-Based and Target Group–Adapted Mobile App Intervention. JMIR mHealth and uHealth 2019;7(8):e11575
CrossRef -
Ghelani DP, Moran LJ, 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
CrossRef -
West JH, Belvedere LM, Andreasen R, Frandsen C, Hall PC, Crookston BT. Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change. JMIR mHealth and uHealth 2017;5(7):e95
CrossRef -
Kim H, Faw M, Michaelides A. Mobile But Connected: Harnessing the Power of Self-Efficacy and Group Support for Weight Loss Success through mHealth Intervention. Journal of Health Communication 2017;22(5):395
CrossRef -
Haggerty AF, Huepenbecker S, Sarwer DB, Spitzer J, Raggio G, Chu CS, Ko E, Allison KC. The use of novel technology-based weight loss interventions for obese women with endometrial hyperplasia and cancer. Gynecologic Oncology 2016;140(2):239
CrossRef -
Koch MC, Lermann J, van de Roemer N, Renner SK, Burghaus S, Hackl J, Dittrich R, Kehl S, Oppelt PG, Hildebrandt T, Hack CC, Pöhls UG, Renner SP, Thiel FC. RETRACTED ARTICLE: Improving usability and pregnancy rates of a fertility monitor by an additional mobile application: results of a retrospective efficacy study of Daysy and DaysyView app. Reproductive Health 2018;15(1)
CrossRef -
Nwolise CH, Carey N, Shawe J. Exploring the acceptability and feasibility of a preconception and diabetes information app for women with pregestational diabetes: A mixed-methods study protocol. DIGITAL HEALTH 2017;3:205520761772641
CrossRef -
Carter M, Burley V, Cade J. Frequency of electronic dietary self monitoring using a smartphone app and weight loss. Proceedings of the Nutrition Society 2015;74(OCE4)
CrossRef -
Jun M, Ha J. Effect of Smartphone Apps Applying BodyThink Program on Obesity in Adolescent Girls. Journal of Korean Academy of Nursing 2016;46(3):390
CrossRef -
Hartmann-Boyce J, Jebb SA, Fletcher BR, Aveyard P. Self-Help for Weight Loss in Overweight and Obese Adults: Systematic Review and Meta-Analysis. American Journal of Public Health 2015;105(3):e43
CrossRef -
Lemacks J, Adams K, Lovetere A. Dietary Intake Reporting Accuracy of the Bridge2U Mobile Application Food Log Compared to Control Meal and Dietary Recall Methods. Nutrients 2019;11(1):199
CrossRef -
Shemesh T, Barnoy S. Assessment of the Intention to Use Mobile Health Applications Using a Technology Acceptance Model in an Israeli Adult Population. Telemedicine and e-Health 2020;26(9):1141
CrossRef -
Brindal E, Hendrie GA, Freyne J, Noakes M. Incorporating a Static Versus Supportive Mobile Phone App Into a Partial Meal Replacement Program With Face-to-Face Support: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(4):e41
CrossRef -
Quee FA, de Hoog MLA, Schuurman R, Bruijning-Verhagen P. Community burden and transmission of acute gastroenteritis caused by norovirus and rotavirus in the Netherlands (RotaFam): a prospective household-based cohort study. The Lancet Infectious Diseases 2020;20(5):598
CrossRef -
Apovian CM, Garvey WT, Ryan DH. Challenging obesity: Patient, provider, and expert perspectives on the roles of available and emerging nonsurgical therapies. Obesity 2015;23(S2)
CrossRef -
Ben Neriah D, Geliebter A. Weight Loss Following Use of a Smartphone Food Photo Feature: Retrospective Cohort Study. JMIR mHealth and uHealth 2019;7(6):e11917
CrossRef -
Gilmore LA, Duhé AF, Frost EA, Redman LM. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596
CrossRef -
Gibson AA, Hsu MSH, Rangan AM, Seimon RV, Lee CMY, Das A, Finch CH, Sainsbury A. Accuracy of handsv. household measures as portion size estimation aids. Journal of Nutritional Science 2016;5
CrossRef -
Carter MC, Burley VJ, Cade JE. Weight Loss Associated With Different Patterns of Self-Monitoring Using the Mobile Phone App My Meal Mate. JMIR mHealth and uHealth 2017;5(2):e8
CrossRef -
Huang C, Yang M. Empirical Investigation of Factors Influencing Consumer Intention to Use an Artificial Intelligence-Powered Mobile Application for Weight Loss and Health Management. Telemedicine and e-Health 2020;26(10):1240
CrossRef -
Hackshaw-McGeagh LE, Sutton E, Persad R, Aning J, Bahl A, Koupparis A, Millett C, Martin RM, Lane JA. Acceptability of dietary and physical activity lifestyle modification for men following radiotherapy or radical prostatectomy for localised prostate cancer: a qualitative investigation. BMC Urology 2017;17(1)
CrossRef -
Vashist S, Schneider E, Luong J. Commercial Smartphone-Based Devices and Smart Applications for Personalized Healthcare Monitoring and Management. Diagnostics 2014;4(3):104
CrossRef -
Ipjian ML, Johnston CS. Smartphone technology facilitates dietary change in healthy adults. Nutrition 2017;33:343
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 -
Hezarjaribi N, Mazrouee S, Hemati S, Chaytor NS, Perrigue M, Ghasemzadeh H. Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data. ACM Transactions on Interactive Intelligent Systems 2019;9(4):1
CrossRef -
Hundert AS, Huguet A, McGrath PJ, Stinson JN, Wheaton M. Commercially Available Mobile Phone Headache Diary Apps: A Systematic Review. JMIR mHealth and uHealth 2014;2(3):e36
CrossRef -
Fukuoka Y, Gay CL, Joiner KL, Vittinghoff E. A Novel Diabetes Prevention Intervention Using a Mobile App. American Journal of Preventive Medicine 2015;49(2):223
CrossRef -
Sherifali D, Nerenberg KA, Wilson S, Semeniuk K, Ali MU, Redman LM, Adamo KB. The Effectiveness of eHealth Technologies on Weight Management in Pregnant and Postpartum Women: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2017;19(10):e337
CrossRef -
McCullough MB, Guilkey H, Stark L. Cookie or fruit? Relative reinforcing value of snack foods among preschoolers with overweight/obesity compared to healthy weight. Appetite 2017;111:187
CrossRef -
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
CrossRef -
Lugaresi A, Rottoli MR, Patti F. Fostering adherence to injectable disease-modifying therapies in multiple sclerosis. Expert Review of Neurotherapeutics 2014;14(9):1029
CrossRef -
Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar NB, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393
CrossRef -
Cradock KA, ÓLaighin G, Finucane FM, Gainforth HL, Quinlan LR, Ginis KAM. Behaviour change techniques targeting both diet and physical activity in type 2 diabetes: A systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
CrossRef -
Piwek L, Ellis DA. Can Programming Frameworks Bring Smartphones into the Mainstream of Psychological Science?. Frontiers in Psychology 2016;7
CrossRef -
Cashin M, Wroe J, Campbell LE. What parents want to know in the first postnatal year: A Delphi consensus study. Child: Care, Health and Development 2021;47(1):47
CrossRef -
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)
CrossRef -
Simpson SA, Matthews L, Pugmire J, McConnachie A, McIntosh E, Coulman E, Hughes K, Kelson M, Morgan-Trimmer S, Murphy S, Utkina-Macaskill O, Moore LAR. An app-, web- and social support-based weight loss intervention for adults with obesity: the ‘HelpMeDoIt!’ feasibility randomised controlled trial. Pilot and Feasibility Studies 2020;6(1)
CrossRef -
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
CrossRef -
Bennett GG, Steinberg D, Bolton J, Gallis JA, Treadway C, Askew S, Kay MC, Pollak KI, Turner EL. Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial. JMIR Research Protocols 2021;10(1):e19506
CrossRef -
Nakabayashi J, Melo GR, Toral N. Transtheoretical model-based nutritional interventions in adolescents: a systematic review. BMC Public Health 2020;20(1)
CrossRef -
. Promoting Weight Management Using Technology. ACSM'S Health & Fitness Journal 2015;19(5):5
CrossRef -
Rumbo-Rodríguez L, Sánchez-SanSegundo M, Ruiz-Robledillo N, Albaladejo-Blázquez N, Ferrer-Cascales R, Zaragoza-Martí A. Use of Technology-Based Interventions in the Treatment of Patients with Overweight and Obesity: A Systematic Review. Nutrients 2020;12(12):3634
CrossRef -
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
CrossRef -
Yuan SLK, Couto LA, Marques AP. Effects of a six-week mobile app versus paper book intervention on quality of life, symptoms, and self-care in patients with fibromyalgia: a randomized parallel trial. Brazilian Journal of Physical Therapy 2021;25(4):428
CrossRef -
Chlebowski RT, Kim J, Haque R. Adherence to Endocrine Therapy in Breast Cancer Adjuvant and Prevention Settings. Cancer Prevention Research 2014;7(4):378
CrossRef -
. Self-Monitoring for Supporting Change. ACSM'S Health & Fitness Journal 2016;20(4):31
CrossRef -
Kurscheid T, Redaélli M, Heinen A, Hahmann P, Behle K, Froböse I. App-gesteuerte Feedbackgeräte unterstützen Nachhaltigkeit einer Gewichtsreduktion. Zeitschrift für Psychosomatische Medizin und Psychotherapie 2019;65(3):224
CrossRef -
Adafer R, Messaadi W, Meddahi M, Patey A, Haderbache A, Bayen S, Messaadi N. Food Timing, Circadian Rhythm and Chrononutrition: A Systematic Review of Time-Restricted Eating’s Effects on Human Health. Nutrients 2020;12(12):3770
CrossRef -
Huntriss R, Haines M, Jones L, Mulligan D. A service evaluation exploring the effectiveness of a locally commissioned tier 3 weight management programme offering face‐to‐face, telephone and digital dietetic support. Clinical Obesity 2021;11(3)
CrossRef -
Turner-McGrievy GM, Yang C, Monroe C, Pellegrini C, West DS. 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
CrossRef -
Andersen T, Byrne DV, Wang QJ. How Digital Food Affects Our Analog Lives: The Impact of Food Photography on Healthy Eating Behavior. Frontiers in Psychology 2021;12
CrossRef -
Eicher-Miller HA, Prapkree L, Palacios C. Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications. Advances in Nutrition 2021;12(3):1032
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 -
Andrade AQ, Beleigoli A, Diniz MDF, Ribeiro AL. Influence of Baseline User Characteristics and Early Use Patterns (24-Hour) on Long-Term Adherence and Effectiveness of a Web-Based Weight Loss Randomized Controlled Trial: Latent Profile Analysis. Journal of Medical Internet Research 2021;23(6):e26421
CrossRef -
Prasad M, Fine K, Gee A, Nair N, Popp CJ, Cheng B, Manoogian ENC, Panda S, Laferrère B. A Smartphone Intervention to Promote Time Restricted Eating Reduces Body Weight and Blood Pressure in Adults with Overweight and Obesity: A Pilot Study. Nutrients 2021;13(7):2148
CrossRef -
Kim O, Dadaeva V, Telkhigova A, Drapkina O. Mobile medical applications: opportunities, challenges and prospects. Profilakticheskaya meditsina 2021;24(7):96
CrossRef -
Briggs T, Quick V, Hallman WK. Feature Availability Comparison in Free and Paid Versions of Popular Smartphone Weight Management Applications. Journal of Nutrition Education and Behavior 2021;53(9):732
CrossRef -
Laursen SL, Helweg-Jørgensen S, Langergaard A, Søndergaard J, Sørensen SS, Mathiasen K, Lichtenstein MB, Ehlers LH. Mobile Diary App Versus Paper-Based Diary Cards for Patients With Borderline Personality Disorder: Economic Evaluation. Journal of Medical Internet Research 2021;23(11):e28874
CrossRef -
Payne JE, Turk MT, Kalarchian MA, Pellegrini CA. Adherence to mobile‐app‐based dietary self‐monitoring—Impact on weight loss in adults. Obesity Science & Practice 2022;8(3):279
CrossRef -
Berry MP, Chwyl C, Metzler AL, Sun JH, Dart H, Forman EM. Associations between behaviour change technique clusters and weight loss outcomes of automated digital interventions: a systematic review and meta-regression. Health Psychology Review 2023;17(4):521
CrossRef -
. Ernährungs-Apps für den Ernährungsversorgungsalltag – Hindernisse und Chancen. Public Health Forum 2016;24(3):209
CrossRef -
Price JC, Santos HO, Bueno AA. The effectiveness of automated digital health solutions at successfully managing obesity and obesity-associated disorders: A PICO-structured investigation. DIGITAL HEALTH 2022;8:205520762210913
CrossRef -
Chew HSJ, Koh WL, Ng JSHY, Tan KK. Sustainability of Weight Loss Through Smartphone Apps: Systematic Review and Meta-analysis on Anthropometric, Metabolic, and Dietary Outcomes. Journal of Medical Internet Research 2022;24(9):e40141
CrossRef -
Shi Y, Wakaba K, Kiyohara K, Hayashi F, Tsushita K, Nakata Y. Effectiveness and Components of Web-Based Interventions on Weight Changes in Adults Who Were Overweight and Obese: A Systematic Review with Meta-Analyses. Nutrients 2022;15(1):179
CrossRef -
Martinon P, Saliasi I, Bourgeois D, Smentek C, Dussart C, Fraticelli L, Carrouel F. Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality. JMIR mHealth and uHealth 2022;10(3):e35879
CrossRef -
Lim WX, Fook-Chong S, Lim JW, Gan WH. The Outcomes of App-Based Health Coaching to Improve Dietary Behavior Among Nurses in a Tertiary Hospital: Pilot Intervention Study. JMIR Nursing 2022;5(1):e36811
CrossRef -
Chakradeo P, Rasmussen HE, Swanson GR, Swanson B, Fogg LF, Bishehsari F, Burgess HJ, Keshavarzian A. Psychometric Testing of a Food Timing Questionnaire and Food Timing Screener. Current Developments in Nutrition 2022;6(2):nzab148
CrossRef -
Tavoian D, Craighead DH. Deep breathing exercise at work: Potential applications and impact. Frontiers in Physiology 2023;14
CrossRef -
Taylor VA, Moseley I, Sun S, Smith R, Roy A, Ludwig VU, Brewer JA. Awareness drives changes in reward value which predict eating behavior change: Probing reinforcement learning using experience sampling from mobile mindfulness training for maladaptive eating. Journal of Behavioral Addictions 2021;10(3):482
CrossRef -
Helland MH, Nordbotten GL. Dietary Changes, Motivators, and Barriers Affecting Diet and Physical Activity among Overweight and Obese: A Mixed Methods Approach. International Journal of Environmental Research and Public Health 2021;18(20):10582
CrossRef -
Martinel N, Micheloni C, Piciarelli C. An ensemble feature method for food classification. Machine Graphics and Vision 2017;26(1/4):13
CrossRef -
Wiechert M, Holzapfel C. Nutrition Concepts for the Treatment of Obesity in Adults. Nutrients 2021;14(1):169
CrossRef -
Yang Y, Boulton E, Todd C. Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework. Journal of Medical Internet Research 2022;24(6):e30817
CrossRef -
Modrzejewska J, Modrzejewska A, Czepczor-Bernat K, Matusik P, Mahmoud AB. The role of body mass index, healthy eating-related apps and educational activities on eating motives and behaviours among women during the COVID-19 pandemic: A cross sectional study. PLOS ONE 2022;17(3):e0266016
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 -
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 -
Butryn ML, Kerrigan S, Hagerman CJ, Crane NT, Godfrey K. Do monthly coaching calls influence proximal participant adherence in a behavioral weight loss program?. Journal of Behavioral Medicine 2023;46(4):699
CrossRef -
Allenson K, Turner K, Gonzalez BD, Gurd E, Zhu S, Misner N, Chin A, Adams M, Cooper L, Nguyen D, Naffouje S, Castillo DL, Kocab M, James B, Denbo J, Pimiento JM, Malafa M, Powers BD, Fleming JB, Anaya DA, Hodul PJ. Pilot trial of remote monitoring to prevent malnutrition after hepatopancreatobiliary surgery. BMC Nutrition 2021;7(1)
CrossRef -
Vasselli JR, Juray S, Trasino SE. Success and failures of telehealth during COVID‐19 should inform digital applications to combat obesity. Obesity Science & Practice 2022;8(2):254
CrossRef -
Bayliss L, Wu L. Should you “picture” this? Effects of picture-taking features of food diary apps on memory, liking, and wanting. Appetite 2022;168:105682
CrossRef -
. Delivering Behaviour Change Techniques via Short Text Messages to Promote Active Travel. Trafik ve Ulaşım Araştırmaları Dergisi 2022;5(1):22
CrossRef -
Vasiloglou MF, Marcano I, Lizama S, Papathanail I, Spanakis EK, Mougiakakou S. Multimedia Data-Based Mobile Applications for Dietary Assessment. Journal of Diabetes Science and Technology 2023;17(4):1056
CrossRef -
Threapleton DE, Beer SL, Foley DJ, Gibson LE, Trevillion S, Burke D, Wheatstone P, Gath J, Hex N, Setters J, Greenwood DC, Cade JE. Usability of myfood24 Healthcare and Mathematical Diet Optimisation in Clinical Populations: A Pilot Feasibility Randomised Controlled Trial. Nutrients 2022;14(9):1768
CrossRef -
Kellier DJ, Marquez de Prado B, Haagen D, Grabner P, Raj NR, Lechtenberg L, Velasquez G, Hsu JY, Farrar JT, Hershey AD, Szperka CL. Development of a text message-based headache diary in adolescents and children. Cephalalgia 2022;42(10):1013
CrossRef -
YEKE S, SELÇUK AG. COVID-19 SÜRECİNDE MOBİL SAĞLIK UYGULAMALARI: HES UYGULAMASINA YÖNELİK KRİTİK BAŞARI FAKTÖRLERİ ANALİZİ. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi 2022;12(4):1887
CrossRef -
Singh A, Wall C, Levine A, Midha V, Mahajan R, Sood A. Nutritional screening and assessment in inflammatory bowel disease. Indian Journal of Gastroenterology 2022;41(1):5
CrossRef -
Buss VH, Varnfield M, Harris M, Barr M. Remotely Conducted App-Based Intervention for Cardiovascular Disease and Diabetes Risk Awareness and Prevention: Single-Group Feasibility Trial. JMIR Human Factors 2022;9(3):e38469
CrossRef -
Ang SM, Chen J, Liew JH, Johal J, Dan YY, Allman-Farinelli M, Lim SL. 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
CrossRef -
Gornyi B, Kalinina A, Kulikova M, Voilova S, Yarmolko M, Kutumova O, Drapkina O. The use of modern information technologies in a program to reduce overweight: results of a pilot study. Profilakticheskaya meditsina 2022;25(4):35
CrossRef -
Nikniaz Z, Namvar ZA, Shirmohammadi M, Maserat E, Albahri AS. Smartphone Application for Celiac Patients: Assessing Its Effect on Gastrointestinal Symptoms in a Randomized Controlled Clinical Trial. International Journal of Telemedicine and Applications 2022;2022:1
CrossRef -
Cheng Y, Liu H, Hsu C, Lee I. Duration of Treatment in a Weight Loss Program Using a Mobile App is Associated with Successful Weight Loss During the COVID-19 Pandemic. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2022;Volume 15:1737
CrossRef -
Kong NA, Moy FM, Ong SH, Tahir GA, Loo CK. MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application. DIGITAL HEALTH 2023;9:205520762211493
CrossRef -
Boruchowicz C, Lopez Boo F, Roseth B, Tejerina L. Default options: a powerful behavioral tool to increase COVID-19 contact tracing app acceptance in Latin America?. Behavioural Public Policy 2023;7(3):662
CrossRef -
Kinouchi K, Ohashi K. Assessing Engagement With Patient-Generated Health Data Recording and Its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis. JMIR Formative Research 2022;6(5):e35471
CrossRef -
van der Lubbe LM, Klein MCA, Visser M, Wijnhoven HAH, Reinders I. Insights on the Effect and Experience of a Diet-Tracking Application for Older Adults in a Diet Trial. Technologies 2022;10(1):31
CrossRef -
Lee H, Huang T, Yen L, Wu P, Chen K, Kung H, Liu C, Hsu C. Precision Nutrient Management Using Artificial Intelligence Based on Digital Data Collection Framework. Applied Sciences 2022;12(9):4167
CrossRef -
Vázquez-Paz AM, Michel-Nava RM, Delgado-Pérez EE, Lares-Michel M, Espinosa-Curiel IE. Parents’ mHealth App for Promoting Healthy Eating Behaviors in Children: Feasibility, Acceptability, and Pilot Study. Journal of Medical Systems 2022;46(11)
CrossRef -
Kulikova M, Gornyi B, Kontsevaya A, Karaulova V, Kalinina A, Drapkina O. The performance of remote technologies in management and self-management of overweight and obesity in primary care. Profilakticheskaya meditsina 2021;24(10):24
CrossRef -
. The ethics of dietary apps: Technology, health, and the capability approach. Technology in Society 2022;68:101873
CrossRef -
Zhou M, Zhang N, Zhang Y, Yan X, Li M, Guo W, Guo X, He H, Guo K, Ma G. Effect of Mobile-Based Lifestyle Intervention on Weight Loss among the Overweight and Obese Elderly Population in China: A Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2021;18(16):8825
CrossRef -
Valinskas S, Nakrys M, Aleknavičius K, Jonusas J, Lileikienė A. User Engagement and Weight Loss Facilitated by a Mobile App: Retrospective Review of Medical Records. JMIR Formative Research 2023;7:e42266
CrossRef -
Lee JH, Jeong JH, Ji W, Lee HJ, Lee Y, Jo M, Chung S, Yun S, Choi C, Lee GD, Lee SW, Lee JW. Comparative effectiveness of smartphone healthcare applications for improving quality of life in lung cancer patients: study protocol. BMC Pulmonary Medicine 2022;22(1)
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 -
Kong J, Chen Y, Zheng Y, Zhu L, Chen B, Cheng X, Song M, Patrick DL, Beresford SAA, Wang H. Effectiveness of a Worksite-Based Lifestyle Intervention on Employees’ Obesity Control and Prevention in China: A Group Randomized Experimental Study. International Journal of Environmental Research and Public Health 2022;19(11):6738
CrossRef -
Ristow N, Wilke A, Malte John S, Ludewig M. Development of an app-based maintenance programme to promote skin protection behaviour for patients with work-related skin diseases. Health Education Journal 2022;81(6):731
CrossRef -
Jones AC, Grout L, Wilson N, Nghiem N, Cleghorn C. The Cost-effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Weight Loss: Updated Modeling Study. JMIR Formative Research 2022;6(4):e29291
CrossRef -
Valinskas S, Aleknavicius K, Nakrys M, Jonusas J. Fasting and weight loss: mobile application-based approach. BMC Nutrition 2022;8(1)
CrossRef -
Nwolise CH, Carey N, Shawe J. Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study. Journal of Healthcare Informatics Research 2021;5(4):446
CrossRef -
Huang X, Li M, Shi Y, Yao H, Lei Z, Kou W, Li B, Shi J, Zhang W, Jian W. Self-managed weight loss by smart body fat scales ameliorates obesity-related body composition during the COVID-19 pandemic: A follow-up study in Chinese population. Frontiers in Endocrinology 2022;13
CrossRef -
Evans S, Ashmore C, Daly A, Dhadwar P, Syed A, Lecocq O, Jackson R, Pinto A, MacDonald A. Efficacy of a New Low-Protein Multimedia Diet App for PKU. Nutrients 2022;14(11):2182
CrossRef -
Antoun J, Itani H, Alarab N, Elsehmawy A. The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e35479
CrossRef -
Dobbie LJ, Tahrani A, Alam U, James J, Wilding J, Cuthbertson DJ. Exercise in Obesity—the Role of Technology in Health Services: Can This Approach Work?. Current Obesity Reports 2021;11(3):93
CrossRef -
Jakob R, Harperink S, Rudolf AM, Fleisch E, Haug S, Mair JL, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371
CrossRef -
Szinay D, Forbes CC, Busse H, DeSmet A, Smit ES, König LM. Is the uptake, engagement, and effectiveness of exclusively mobile interventions for the promotion of weight‐related behaviors equal for all? A systematic review. Obesity Reviews 2023;24(3)
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 -
Forbes L, Johnson SK. Online Mindfulness Intervention for Inflammatory Bowel Disease: Adherence and Efficacy. Frontiers in Psychology 2022;12
CrossRef -
BinDhim NF, McGeechan K, Trevena L. Smartphone Smoking Cessation Application (SSC App) trial: a multicountry double-blind automated randomised controlled trial of a smoking cessation decision-aid ‘app’. BMJ Open 2018;8(1):e017105
CrossRef -
Ebrahimi N, Mohammadzadeh N, Ayyoubzadeh SM. Evaluation of overweight control applications with cognitive‐behavioral therapy approach: A systematic review. Health Science Reports 2023;6(3)
CrossRef -
Zhang N, Zhou M, Li M, Ma G. Effects of Smartphone-Based Remote Interventions on Dietary Intake, Physical Activity, Weight Control, and Related Health Benefits Among the Older Population With Overweight and Obesity in China: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e41926
CrossRef -
Bent MA, Valenzuela-Moss JN, Smith KA, Castillo P, Van Speybroeck A, Omar H, Antoniak K, Lin A, Wren TAL. Using a mobile health app in a weight management program for overweight and obese adolescents and young adults with spina bifida. The Journal of Spinal Cord Medicine 2023;:1
CrossRef -
Daud MH, Yusoff FH, Abdul-Razak S, Baharudin N, Mohamed-Yassin M, Badlishah-Sham SF, Nikmat AW, Isa MR, Jamil N, Nawawi H, Ramli AS. Design, development, utility and usability testing of the EMPOWER-SUSTAIN Self-Management Mobile App© among primary care physicians and patients with metabolic syndrome. DIGITAL HEALTH 2023;9:205520762311766
CrossRef -
Domguia EN, Hymette LFN, Nzomo JT, Ngassam SB, Donfouet O. How important is ICT for reducing undernourishment in Africa?. Telematics and Informatics Reports 2023;11:100098
CrossRef -
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
CrossRef -
De La Cruz MBV, Zegarra CIL, Vega RMB, Sime CLT, Narro JBS, Ferrer-Peñaranda L, Dávila-Morán RC. 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
CrossRef -
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
CrossRef -
Silva LM, Ankrah EA, Huai Y, Epstein DA. Exploring Opportunities for Multimodality and Multiple Devices in Food Journaling. Proceedings of the ACM on Human-Computer Interaction 2023;7(MHCI):1
CrossRef -
Crumbley C, Cepni AB, Taylor A, Thompson D, Moran NE, Olvera N, O’Connor DP, Johnston CA, Ledoux TA. Exploring Factors Associated With Accelerometer Validity Among Ethnically Diverse Toddlers. Pediatric Exercise Science 2024;36(2):66
CrossRef -
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;
CrossRef -
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
CrossRef -
Gioia S, Vlasac IM, Babazadeh D, Fryou NL, Do E, Love J, Robbins R, Dashti HS, Lane JM. Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research. JMIR Formative Research 2023;7:e35858
CrossRef -
Saleh A, Wetik JD, 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)
CrossRef -
Konstantakopoulos FS, Georga EI, Fotiadis DI. 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)
CrossRef -
Jin T, Kang G, Song S, Lee H, Chen Y, Kim S, Shin M, Park YH, Lee JE. 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
CrossRef -
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
CrossRef -
Markkanen JO, Oikarinen N, Savolainen MJ, 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
CrossRef -
Buss VH, Barr M, Parker SM, Kabir A, Lau AYS, Liaw S, Stocks N, Harris MF. 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
CrossRef -
Konstantakopoulos FS, Georga EI, Fotiadis DI. A Review of Image-Based Food Recognition and Volume Estimation Artificial Intelligence Systems. IEEE Reviews in Biomedical Engineering 2024;17:136
CrossRef -
Metzendorf M, Wieland LS, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2)
CrossRef -
Altmannshofer S, Flaucher M, Beierlein M, Eskofier BM, Beckmann MW, Fasching PA, 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
CrossRef -
DiFilippo KN, Chapman-Novakofski KM. Mobile Apps for Hypertension Management. Topics in Clinical Nutrition 2024;39(2):147
CrossRef -
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
CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2283):
-
Chen Y, Yang L, Hu H, Chen J, Shen B. Healthcare and Big Data Management. 2017. Chapter 1:1
CrossRef -
Ramalho SM, Silva CB, Pinto-Bastos A, Conceição E. Obesity. 2016. Chapter 20:257
CrossRef -
Sayed M, Kubalski S. Digitales Betriebliches Gesundheitsmanagement. 2018. Chapter 42:553
CrossRef -
. Interdisciplinary Mobile Media and Communications. 2014. chapter 17:305
CrossRef -
Agboola SO, Jethwani K. Career Paths in Telemental Health. 2017. Chapter 3:41
CrossRef -
Ahmad M, Khan MA, Bibi M, Ullah Z, Shah ST. Mobile Devices and Smart Gadgets in Medical Sciences. 2020. chapter 7:121
CrossRef -
. Handbuch Essstörungen und Adipositas. 2015. Chapter 73:581
CrossRef -
Egger G, Sagner M, Meldrum H, Katz D, Lawson R. Präventionsmedizin. 2017. :43
CrossRef -
. E-Health and Telemedicine. 2016. chapter 14:260
CrossRef -
. Big Data and Ethics. 2016. :267
CrossRef -
. Emotions, Technology, and Health. 2016. :41
CrossRef -
Rinaldi G, Rinaldi S. Clinical Handbook of Air Pollution-Related Diseases. 2018. Chapter 27:495
CrossRef -
. Information Science and Applications 2018. 2019. Chapter 11:109
CrossRef -
Woodside JV, Welch RW, Patterson CC, McKinley MC. Nutrition Research Methodologies. 2015. :28
CrossRef -
Chen X, Murtaugh MA, Koebnick C, Beddhu S, Garvin JH, Conway M, Lee Y, Gouripeddi R, Luo G. Health Information Science. 2016. Chapter 7:62
CrossRef -
Wali S, Keshavjee K, Demers C. eHealth - Making Health Care Smarter. 2018. Chapter 4
CrossRef -
. Big Data Analytics in HIV/AIDS Research. 2018. chapter 4:81
CrossRef -
Vashist SK, Luong JHT. Point-of-Care Technologies Enabling Next-Generation Healthcare Monitoring and Management. 2019. Chapter 3:81
CrossRef -
Zheng Y, Mancino J, Burke LE, Glanz K. Nutrition in the Prevention and Treatment of Disease. 2017. :185
CrossRef -
Seçkin G, Kahana E. Encyclopedia of Mobile Phone Behavior. 2015. chapter 73:898
CrossRef -
Egger G, Sagner M, Meldrum H, Katz D, Lawson R. Lifestyle Medicine. 2017. :47
CrossRef -
Ryan DH, Anton S. Present Knowledge in Nutrition. 2020. :159
CrossRef -
Klebbe R, Steinert A, Müller-Werdan U. Perspectives on Wearable Enhanced Learning (WELL). 2019. Chapter 15:313
CrossRef -
Gavalas D, Kasapakis V, Dzardanova E. Encyclopedia of Computer Graphics and Games. 2020. Chapter 207-1:1
CrossRef -
Hasselmann O, Schauerte B, Schröder J. Fehlzeiten-Report 2017. 2017. Chapter 4:39
CrossRef -
Vashist SK, Luong JH. Wearable Technology in Medicine and Health Care. 2018. :235
CrossRef -
. Obesity and Diabetes. 2020. Chapter 64:865
CrossRef -
. Self-Management in Chronic Illness. 2021. Chapter 11:163
CrossRef -
. Pragmatic Randomized Clinical Trials. 2021. :413
CrossRef -
. Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services. 2022. chapter 13:206
CrossRef -
. Handbuch Essstörungen und Adipositas. 2022. Chapter 80:639
CrossRef -
. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 72:1477
CrossRef -
Lodha C, Dhingra K, Mondal R, Goyal S. Smart Intelligent Computing and Applications, Volume 2. 2022. Chapter 39:403
CrossRef -
Folta SC, Brown AGM, Blumberg JB. Preventive Nutrition. 2015. Chapter 1:3
CrossRef -
Khan A, Hamdy O. Diabetes and Cardiovascular Disease. 2023. Chapter 29:825
CrossRef -
Baker C, Elizabeth L, Crone D, Tutton A, Aitken P. Sport and Exercise Psychology. 2016. :417
CrossRef -
Gavalas D, Kasapakis V, Dzardanova E. Encyclopedia of Computer Graphics and Games. 2024. Chapter 207:1169
CrossRef