Published on 10.07.17 in Vol 5, No 7 (2017): July
Works citing "Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7410):
(note that this is only a small subset of citations)
-
Wahl DR, Villinger K, Blumenschein M, König LM, Ziesemer K, Sproesser G, Schupp HT, Renner B. Why We Eat What We Eat: Assessing Dispositional and In-the-Moment Eating Motives by Using Ecological Momentary Assessment. JMIR mHealth and uHealth 2020;8(1):e13191
CrossRef -
. Research Bites. ACSM'S Health & Fitness Journal 2018;22(5):47
CrossRef -
Owens OL, Beer JM, Reyes LI, Thomas TL. Systematic Review of Commercially Available Mobile Phone Applications for Prostate Cancer Education. American Journal of Men's Health 2019;13(1):155798831881691
CrossRef -
Ahmed M, Oh A, Vanderlee L, Franco-Arellano B, Schermel A, Lou W, L’Abbé MR. A randomized controlled trial examining consumers’ perceptions and opinions on using different versions of a FoodFlip© smartphone application for delivery of nutrition information. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1)
CrossRef -
Schmidt-Kraepelin M, Toussaint PA, Thiebes S, Hamari J, Sunyaev A. Archetypes of Gamification: Analysis of mHealth Apps. JMIR mHealth and uHealth 2020;8(10):e19280
CrossRef -
Touyz L, Cohen J, Wakefield C, Grech A, Garnett S, Gohil P, Cohn R. Design and Rationale for a Parent-Led Intervention to Increase Fruit and Vegetable Intake in Young Childhood Cancer Survivors (Reboot): Protocol for a Pilot Study. JMIR Research Protocols 2018;7(5):e129
CrossRef -
Bradley LE, Smith-Mason CE, Corsica JA, Kelly MC, Hood MM. Remotely Delivered Interventions for Obesity Treatment. Current Obesity Reports 2019;8(4):354
CrossRef -
Samoggia A, Bordoni A, Monticone F. Data on the potential of nutrition-information apps from a consumer behaviour perspective. Data in Brief 2020;30:105558
CrossRef -
Nour MM, Rouf AS, Allman-Farinelli M. Exploring young adult perspectives on the use of gamification and social media in a smartphone platform for improving vegetable intake. Appetite 2018;120:547
CrossRef -
Gawlik K, Melnyk BM, Tan A, Amaya M. Heart checks in college-aged students link poor sleep to cardiovascular risk. Journal of American College Health 2019;67(2):113
CrossRef -
Nichols M, Miller S, Treiber F, Ruggiero K, Dawley E, Teufel II R. Patient and Parent Perspectives on Improving Pediatric Asthma Self-Management Through a Mobile Health Intervention: Pilot Study. JMIR Formative Research 2020;4(7):e15295
CrossRef -
Skar JB, Garnweidner-Holme LM, Lukasse M, Terragni L. Women's experiences with using a smartphone app (the Pregnant+ app) to manage gestational diabetes mellitus in a randomised controlled trial. Midwifery 2018;58:102
CrossRef -
Tay W, Kaur B, Quek R, Lim J, Henry CJ. Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment. Nutrients 2020;12(4):1167
CrossRef -
Nikolaou CK, Tay Z, Leu J, Rebello SA, Te Morenga L, Van Dam RM, Lean MEJ. Young People’s Attitudes and Motivations Toward Social Media and Mobile Apps for Weight Control: Mixed Methods Study. JMIR mHealth and uHealth 2019;7(10):e11205
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 -
Ehlers A, Folk LH, Paape BR, Ricciardone E, Sloger HE, Valipour A. Letter to the Editor. The Journal for Nurse Practitioners 2020;16(10):A16
CrossRef -
Neffa-Creech D, Clarke P, Evans SH, Glovinsky J. “Food is something everyone should participate in”: A positive deviance approach to understanding the use of a food and nutrition app in low-income, Latino homes. SAGE Open Medicine 2020;8:205031212093484
CrossRef -
Li Y, Ding J, Wang Y, Tang C, Zhang P. Nutrition-Related Mobile Apps in the China App Store: Assessment of Functionality and Quality. JMIR mHealth and uHealth 2019;7(7):e13261
CrossRef -
Prapkree L, Sadjadi M, Huffman F, Palacios C. Development and Pilot Testing of the Snackability Smartphone Application to Identify Healthy and Unhealthy Snacks. Healthcare Informatics Research 2019;25(3):161
CrossRef -
Alshurafa N, Jain J, Alharbi R, Iakovlev G, Spring B, Pfammatter A. Is More Always Better?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;2(4):1
CrossRef -
. Utilization of Mobile Nutrition Applications by Patients With Chronic Kidney Disease. Journal of Renal Nutrition 2019;29(1):e5
CrossRef -
Rapp A, Tirassa M, Tirabeni L. Rethinking Technologies for Behavior Change. ACM Transactions on Computer-Human Interaction 2019;26(4):1
CrossRef -
Paramastri R, Pratama SA, Ho DKN, Purnamasari SD, Mohammed AZ, Galvin CJ, Hsu YE, Tanweer A, Humayun A, Househ M, Iqbal U. Use of mobile applications to improve nutrition behaviour: A systematic review. Computer Methods and Programs in Biomedicine 2020;192:105459
CrossRef -
Tonkin E, Jeffs L, Wycherley TP, Maher C, Smith R, Hart J, Cubillo B, Brimblecombe J. A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing. JMIR mHealth and uHealth 2017;5(12):e192
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 -
Bardus M, Ali A, Demachkieh F, Hamadeh G. Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University. JMIR mHealth and uHealth 2019;7(1):e9836
CrossRef -
Kim K, Lee C. Examining an Integrative Cognitive Model of Predicting Health App Use: Longitudinal Observational Study. JMIR mHealth and uHealth 2021;9(2):e24539
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 -
Choi J, Chung C, Woo H. Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment. International Journal of Environmental Research and Public Health 2021;18(7):3496
CrossRef -
Hu EA, Pasupuleti M, Nguyen V, Langheier J, Shurney D. Sustaining weight loss among adults with obesity using a digital meal planning and food purchasing platform for 12, 24, and 36 months: a longitudinal study. Nutrition Journal 2021;20(1)
CrossRef -
Gonzalez-Ramirez M, Cejudo-Lopez A, Lozano-Navarrete M, Salamero Sánchez-Gabriel E, Torres-Bengoa A, Segura-Balbuena M, Sanchez-Cordero MJ, Barroso-Vazquez M, Perez-Barba FJ, Troncoso AM, Garcia-Parrilla MC, Cerezo AB. SAlBi educa: A promising, tailored nutrition app for promoting healthy eating habits (Preprint). JMIR Formative Research 2020;
CrossRef -
Zečević M, Mijatović D, Kos Koklič M, Žabkar V, Gidaković P. User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling. Journal of Medical Internet Research 2021;23(4):e25160
CrossRef -
Fahey MC, Klesges RC, Kocak M, Gladney LA, Talcott GW, Krukowski RA. Counselor Efficiency at Providing Feedback in a Technology-Based Behavioral Weight Loss Intervention: Longitudinal Analysis. JMIR Formative Research 2021;5(5):e23974
CrossRef -
Lemke M, Schifferstein HN. The use of ICT devices as part of the solo eating experience. Appetite 2021;165:105297
CrossRef -
König LM, Attig C, Franke T, Renner B. Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework. JMIR mHealth and uHealth 2021;9(6):e20037
CrossRef -
Farage G, Simmons C, Kocak M, Klesges RC, Talcott GW, Richey P, Hare M, Johnson KC, Sen S, Krukowski R. Assessing the Contribution of Self-Monitoring Through a Commercial Weight Loss App: Mediation and Predictive Modeling Study. JMIR mHealth and uHealth 2021;9(7):e18741
CrossRef -
KC B, Alrasheedy A, Goh BH, Blebil A, Bangash NSA, Mohamed Ibrahim MI, Rehman IU. The Types and Pattern of Use of Mobile Health Applications Among the General Population: A Cross-Sectional Study from Selangor, Malaysia. Patient Preference and Adherence 2021;Volume 15:1755
CrossRef -
. The ethics of dietary apps: Technology, health, and the capability approach. Technology in Society 2022;68:101873
CrossRef -
Dias SB, Oikonomidis Y, Diniz JA, Baptista F, Carnide F, Bensenousi A, Botana JM, Tsatsou D, Stefanidis K, Gymnopoulos L, Dimitropoulos K, Daras P, Argiriou A, Rouskas K, Wilson-Barnes S, Hart K, Merry N, Russell D, Konstantinova J, Lalama E, Pfeiffer A, Kokkinopoulou A, Hassapidou M, Pagkalos I, Patra E, Buys R, Cornelissen V, Batista A, Cobello S, Milli E, Vagnozzi C, Bryant S, Maas S, Bacelar P, Gravina S, Vlaskalin J, Brkic B, Telo G, Mantovani E, Gkotsopoulou O, Iakovakis D, Hadjidimitriou S, Charisis V, Hadjileontiadis LJ. Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach. Frontiers in Nutrition 2022;9
CrossRef -
Valinskas S, Aleknavicius K, Jonusas J. KetoCycle mobile app for ketogenic diet: a retrospective study of weight loss and engagement. BMC Nutrition 2022;8(1)
CrossRef -
Morillo P, Navarro-Pérez JJ, Orduña JM, Fernández M. Evaluation of an Intervention Program Based on Mobile Apps to Learn Sexism Prevention in Teenagers. ACM Transactions on Multimedia Computing, Communications, and Applications 2022;18(2):1
CrossRef -
Baer N, Vietzke J, Schenk L, Jutai J. Middle-aged and older adults’ acceptance of mobile nutrition and fitness apps: A systematic mixed studies review. PLOS ONE 2022;17(12):e0278879
CrossRef -
Abdul Basir SM, Abdul Manaf Z, Mohd. Noor N, Mat Ludin AF, Shahar S, Abdul Manaf MR. The Challenges and Strategies towards Healthy Eating during COVID-19 Home Confinement Period among Working Adults with BMI ≥ 25 kg/m2 Enrolled in a Weight Loss Program: Qualitative Findings. International Journal of Environmental Research and Public Health 2022;19(11):6656
CrossRef -
Hinojosa-Nogueira D, Ortiz-Viso B, Navajas-Porras B, Pérez-Burillo S, González-Vigil V, de la Cueva SP, Rufián-Henares J. Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition. Nutrients 2023;15(2):276
CrossRef -
Martínez-Rodríguez A, Martínez-Olcina M, Mora J, Navarro P, Caturla N, Jones J. New App-Based Dietary and Lifestyle Intervention on Weight Loss and Cardiovascular Health. Sensors 2022;22(3):768
CrossRef -
Salas-Groves E, Galyean S, Alcorn M, Childress A. Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review. JMIR mHealth and uHealth 2023;11:e41235
CrossRef -
Valinskas S, Aleknavicius K, Nakrys M, Jonusas J. Fasting and weight loss: mobile application-based approach. BMC Nutrition 2022;8(1)
CrossRef -
Slazus C, Ebrahim Z, Koen N. Mobile health apps: An assessment of needs, perceptions, usability, and efficacy in changing dietary choices. Nutrition 2022;101:111690
CrossRef -
Bocking H, Russell-Bennett R, Letheren K. I'm no expert, but … ? Consumer use of supportive digital tools in health services. Journal of Service Theory and Practice 2022;32(2):105
CrossRef -
Frick M, Neu L, Liebhaber N, Sperner-Unterweger B, Stötter J, Keller L, Hüfner K. Why Do We Harm the Environment or Our Personal Health despite Better Knowledge? The Knowledge Action Gap in Healthy and Climate-Friendly Behavior. Sustainability 2021;13(23):13361
CrossRef -
Agher D, Sedki K, Despres S, Albinet J, Jaulent M, Tsopra R. Encouraging Behavior Changes and Preventing Cardiovascular Diseases Using the Prevent Connect Mobile Health App: Conception and Evaluation of App Quality. Journal of Medical Internet Research 2022;24(1):e25384
CrossRef -
Jiang S, Zhang L, Teo K. Social Use of Fitness Apps and Physical Activity Knowledge: The Roles of Information Elaboration and Interpersonal Communication. Journal of Broadcasting & Electronic Media 2021;65(4):549
CrossRef -
McAleese D, Linardakis M, Papadaki A. Quality and Presence of Behaviour Change Techniques in Mobile Apps for the Mediterranean Diet: A Content Analysis of Android Google Play and Apple App Store Apps. Nutrients 2022;14(6):1290
CrossRef -
Knowlden AP, Wilkerson AH, Dunlap KB, Stellefson M, Elijah OA. Systematic review of electronically delivered behavioral obesity prevention interventions targeting men. Obesity Reviews 2022;23(9)
CrossRef -
Ulfa M, Setyonugroho W, Lestari T, Widiasih E, Nguyen Quoc A, Schiavo L. Nutrition-Related Mobile Application for Daily Dietary Self-Monitoring. Journal of Nutrition and Metabolism 2022;2022:1
CrossRef -
Sajjadi P, Edwards CG, Zhao J, Fatemi A, Long JW, Klippel A, Masterson TD. Remote iVR for Nutrition Education: From Design to Evaluation. Frontiers in Computer Science 2022;4
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 -
Kral TVE, O’Malley L, Johnson K, Benvenuti T, Chittams J, Quinn RJ, Thomas JG, Pinto-Martin JA, Levy SE, Kuschner ES. Effects of a mobile health nutrition intervention on dietary intake in children who have autism spectrum disorder. Frontiers in Pediatrics 2023;11
CrossRef -
An R, Perez-Cruet J, Wang J. We got nuts! use deep neural networks to classify images of common edible nuts. Nutrition and Health 2022;:026010602211139
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 -
Zenun Franco R, Fallaize R, Weech M, Hwang F, Lovegrove JA. Effectiveness of Web-Based Personalized Nutrition Advice for Adults Using the eNutri Web App: Evidence From the EatWellUK Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(4):e29088
CrossRef -
. mHealth Research Applied to Regulated and Unregulated Behavioral Health Sciences. Journal of Law, Medicine & Ethics 2020;48(S1):49
CrossRef -
Oc Y, Plangger K. GIST do it! How motivational mechanisms help wearable users develop healthy habits. Computers in Human Behavior 2022;128:107089
CrossRef -
Alonso-Bernáldez M, Palou-March A, Zamanillo-Campos R, Palou A, Palou M, Serra F. A Diet Profiling Algorithm (DPA) to Rank Diet Quality Suitable to Implement in Digital Tools—A Test Study in a Cohort of Lactating Women. Nutrients 2023;15(6):1337
CrossRef -
Mobley AR, Jake-Schoffman DE, Fedele DA, Varela EG, Zeldman J. BabyByte: Qualitative Research to Inform the Development of an App to Improve Responsive Feeding Practices in Parents of Infants and Toddlers. International Journal of Environmental Research and Public Health 2023;20(6):4769
CrossRef -
Wei HX, Yang YL, Luo TY, Chen WQ. Effectiveness of mobile health interventions for pregnant women with gestational diabetes mellitus: a systematic review and meta-analysis. Journal of Obstetrics and Gynaecology 2023;43(2)
CrossRef -
Sophasath M, Brisset A, Rose CF, Bémeur C. Nutritional education strategies for patients with cirrhosis: A narrative review. Patient Education and Counseling 2023;115:107878
CrossRef -
Rapp A, Boldi A. Exploring the Lived Experience of Behavior Change Technologies: Towards an Existential Model of Behavior Change for HCI. ACM Transactions on Computer-Human Interaction 2023;30(6):1
CrossRef -
Ayyanu R, Arul A, Song N, Anand Babu Christus A, Li X, Tamilselvan G, Bu Y, Kavitha S, Zhang Z, Liu N. Wearable sensor platforms for real-time monitoring and early warning of metabolic disorders in humans. The Analyst 2023;148(19):4616
CrossRef -
Abdul Khalil NM, Mohd Mydin FH, Moy FM, Diviani N. Healthy adults’ views and experiences on behavior change strategies in mobile applications for diet monitoring: A single centre qualitative study. PLOS ONE 2023;18(11):e0292390
CrossRef -
Yuan S, Liu M, Peng Y, Hu J, Li B, Ding X, Xie L. “Internet+Nursing Service” Mobile Apps in China App Stores: Functionality and Quality Assessment Study. JMIR mHealth and uHealth 2024;12:e52169
CrossRef -
Shannon OM, Townsend R, Malcomson FC, Matu J, Griffiths A, Jennings A, Ward N, Papier K, Best N, French C, Scheelbeek P, Kim C, Ochieng B, Jay F, Shepherd K, Corfe B, Fairley A, McEvoy CT, Minihane A, Sim YJ, Stevenson E, Gregory S. Adherence to the Eatwell Guide and population and planetary health: A Rank Prize Forum report. Nutrition Bulletin 2024;49(1):108
CrossRef -
Avila-Montiel D, Vilchis-Gil J, Miranda-Lora AL, Velázquez-López L, Klünder-Klünder M. The Effects of an Educational Intervention About Front-of-Package Labeling on Food and Beverage Selection Among Children and Their Caregivers: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e54783
CrossRef -
Reséndiz-Martínez L, Ronquillo-González D, Vázquez-Bravo F, de la Torre-Carbot K, Caamaño MDC. Exploración de necesidades, motivaciones y limitaciones en relación con la alimentación saludable y recursos digitales: un estudio cualitativo en un entorno de educación primaria en México. Atención Primaria 2024;56(8):102933
CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7410):
-
. Food Tech Transitions. 2019. Chapter 8:129
CrossRef -
Azaria B, Kaye R, Ron R, Chen O, Bar-Ilan M, Zlatkin AS, Rotlevi E, Yeshayahu M, Roca J, Cano I, Baltaxe E, de Batlle J, Torres G, Lahr M. Impacts of Information Technology on Patient Care and Empowerment. 2020. chapter 15:291
CrossRef -
. Nutrition, Fitness, and Mindfulness. 2020. Chapter 16:225
CrossRef -
Bhanote VS, Pandey AK, Agrawal A, Manohar S. Big Data Analytics and Artificial Intelligence in the Healthcare Industry. 2022. chapter 9:213
CrossRef -
Li S, Wang J. Diabetes Digital Health and Telehealth. 2022. :201
CrossRef