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Citing this Article

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Published on 13.03.18 in Vol 6, No 3 (2018): March

This paper is in the following e-collection/theme issue:

Works citing "Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.8261):

(note that this is only a small subset of citations)

  1. 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
  2. Jahnel T, Schüz B. Partizipative Entwicklung von Digital-Public-Health-Anwendungen: Spannungsfeld zwischen Nutzer*innenperspektive und Evidenzbasierung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):153
    CrossRef
  3. De Bruijn G, Dallinga JM, Deutekom M. Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study. JMIR mHealth and uHealth 2021;9(5):e13391
    CrossRef
  4. Attig C, Franke T. Abandonment of personal quantification: A review and empirical study investigating reasons for wearable activity tracking attrition. Computers in Human Behavior 2020;102:223
    CrossRef
  5. Wunsch K, Eckert T, Fiedler J, Cleven L, Niermann C, Reiterer H, Renner B, Woll A. Effects of a Collective Family-Based Mobile Health Intervention Called “SMARTFAMILY” on Promoting Physical Activity and Healthy Eating: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(11):e20534
    CrossRef
  6. Szymczak H, Keller L, Debbeler LJ, Kollmann J, Lages NC, Gollwitzer PM, Schupp HT, Renner B. An Increase in Vigorous but Not Moderate Physical Activity Makes People Feel They Have Changed Their Behavior. Frontiers in Psychology 2020;11
    CrossRef
  7. König LM, Sproesser G, Schupp HT, Renner B. Preference for Intuition and Deliberation in Eating Decision‐making: Scale validation and associations with eating behaviour and health. British Journal of Health Psychology 2021;26(1):109
    CrossRef
  8. Stehr P, Karnowski V, Rossmann C. The multi-faceted usage patterns of nutrition apps: a survey on the appropriation of nutrition apps among German-speaking users of MyFitnessPal. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  9. Wang Y, König LM, Reiterer H. A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning (SedVis): Development and Pilot Study. JMIR Formative Research 2021;5(1):e15369
    CrossRef
  10. Kollmann J, Nussbeck FW, Lages NC, Debbeler LJ, Schupp HT, Renner B. Lack of reassurance after unexpected positive health risk feedback – an analysis of temporal dynamics. Health Psychology and Behavioral Medicine 2021;9(1):322
    CrossRef
  11. 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
  12. Flaherty SJ, McCarthy M, Collins AM, McCafferty C, McAuliffe FM. Exploring engagement with health apps: the emerging importance of situational involvement and individual characteristics. European Journal of Marketing 2021;55(13):122
    CrossRef
  13. Vasiloglou MF, Christodoulidis S, Reber E, Stathopoulou T, Lu Y, Stanga Z, Mougiakakou S. Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study. JMIR mHealth and uHealth 2021;9(7):e27885
    CrossRef
  14. Popper-Giveon A, Keshet Y. Non-Vaccination Stage Model (NVST): The decision-making process among Israeli ultra-orthodox Jewish parents. Health: An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine 2022;26(6):777
    CrossRef
  15. 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
  16. Hohberg V, Kreppke J, Kohl J, Seelig E, Zahner L, Streckmann F, Gerber M, König D, Faude O. Effectiveness of a personal health coaching intervention (diabetescoach) in patients with type 2 diabetes: protocol for an open-label, pragmatic randomised controlled trial. BMJ Open 2022;12(6):e057948
    CrossRef
  17. . Self-tracking via smartphone app: Potential tool for athletes’ recovery self-management?. German Journal of Exercise and Sport Research 2022;52(2):253
    CrossRef
  18. Sproesser G, Aulbach M, Gültzow T, König LM. Do nutrition knowledge, food preferences, and habit strength moderate the association between preference for intuition and deliberation in eating decision‐making and dietary intake?. Applied Psychology: Health and Well-Being 2023;15(3):957
    CrossRef
  19. Wu J, Fuchs K, Lian J, Haldimann ML, Schneider T, Mayer S, Byun J, Gassmann R, Brombach C, Fleisch E. Estimating Dietary Intake from Grocery Shopping Data—A Comparative Validation of Relevant Indicators in Switzerland. Nutrients 2021;14(1):159
    CrossRef
  20. Priesterroth L, Grammes J, Strohm EA, Kubiak T. Disordered eating behaviours and eating disorders in adults with type 1 diabetes (DEBBI): rational and design of an observational longitudinal online study. BMJ Open 2022;12(9):e064863
    CrossRef
  21. König LM, Araújo‐Soares V. Will the Farm to Fork strategy be effective in changing food consumption behavior? A health psychology perspective. Applied Economic Perspectives and Policy 2023;45(2):785
    CrossRef
  22. König LM, Allmeta A, Christlein N, Van Emmenis M, Sutton S. A systematic review and meta-analysis of studies of reactivity to digital in-the-moment measurement of health behaviour. Health Psychology Review 2022;16(4):551
    CrossRef
  23. 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
  24. 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
  25. Kramer LL, van Velsen L, Clark JL, Mulder BC, de Vet E. Use and Effect of Embodied Conversational Agents for Improving Eating Behavior and Decreasing Loneliness Among Community-Dwelling Older Adults: Randomized Controlled Trial. JMIR Formative Research 2022;6(4):e33974
    CrossRef
  26. Vietzke J, Schenk L, Baer N. Middle-aged and older adults’ acceptance of mobile nutrition and fitness tools: A qualitative typology. DIGITAL HEALTH 2023;9:205520762311637
    CrossRef
  27. Wurst R, Brame J, Ramsenthaler C, König D, Fuchs R. A questionnaire to assess eating behavior: Structure, validity and responsiveness of a new German eating behavior scale (SEV). Appetite 2022;168:105668
    CrossRef
  28. 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
  29. Fritsch J, Feil K, Weyland S, Schmidt D, Jekauc D. Effectivity of a mHealth intervention for individuals with obesity: a study protocol for a controlled intervention study. BMC Sports Science, Medicine and Rehabilitation 2021;13(1)
    CrossRef
  30. Alzahrani A, Gay V, Alturki R. Exploring Saudi Individuals’ Perspectives and Needs to Design a Hypertension Management Mobile Technology Solution: Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(19):12956
    CrossRef
  31. Kyytsönen M, Vehko T, Anttila H, Ikonen J, Lai Y. Factors associated with use of wearable technology to support activity, well-being, or a healthy lifestyle in the adult population and among older adults. PLOS Digital Health 2023;2(5):e0000245
    CrossRef
  32. Sanabria G, Bushover B, Ashrafnia S, Cordoba E, Schnall R. Understanding Physical Activity Determinants in an HIV Self-Management Intervention: Qualitative Analysis Guided by the Theory of Planned Behavior. JMIR Formative Research 2023;7:e47666
    CrossRef
  33. Eliashevich SO, Nunes Araukho DD, Drapkina OM. Eating behavior: disorders and how to assess them. Cardiovascular Therapy and Prevention 2023;22(8):3663
    CrossRef
  34. Delestre F, Debailly R, Galiby L, Hansel B. Determinants of motivation and adherence to a web application for health behaviour change: A qualitative study with cancer survivors. Journal of Human Nutrition and Dietetics 2023;36(5):1701
    CrossRef
  35. Mahmoodi Kahriz B, Snuggs S, Sah A, Clot S, Lamport D, Forrest J, Helme-Guizon A, Wilhelm M, Caldara C, Anin CV, Vogt J. Unveiling Consumer Preferences and Intentions for Cocreated Features of a Combined Diet and Physical Activity App: Cross-Sectional Study in 4 European Countries. JMIR Human Factors 2023;10:e44993
    CrossRef
  36. Lytvynenko O, König LM. Investigation of Ukrainian refugees' eating behavior, food intake, and psychological distress: Study protocol and baseline data. Applied Psychology: Health and Well-Being 2023;
    CrossRef
  37. Wunsch K, Fiedler J, Hubenschmid S, Reiterer H, Renner B, Woll A. SMARTFAMILY: A mobile health intervention promoting physical activity and healthy eating in a family setting – A randomized-controlled trial (Preprint). JMIR mHealth and uHealth 2023;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.8261):

  1. John M, Kleppisch M. Prävention und Gesundheitsförderung. 2019. Chapter 108-1:1
    CrossRef
  2. Boland M, Alam F, Bronlund J. Trends in Personalized Nutrition. 2019. :195
    CrossRef
  3. John M, Kleppisch M. Prävention und Gesundheitsförderung. 2021. Chapter 108:1019
    CrossRef
  4. Keller V, Ercsey I. Effective Digital Marketing for Improving Society Behavior Toward DEI and SDGs. 2023. chapter 3:48
    CrossRef
  5. Aljabali RN, Ahmad N. Advances on Intelligent Computing and Data Science. 2023. Chapter 19:221
    CrossRef