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

mHealth for Wellness, Behavior Change and Prevention (2871) Mobile Health (mhealth) (2939) Behavior Change (712) Prevention and Health Promotion (986)

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

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

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

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

Authors of this article:

Laura M König1 Author Orcid Image ;   Gudrun Sproesser1 Author Orcid Image ;   Harald T Schupp1 Author Orcid Image ;   Britta Renner1 Author Orcid Image
Article Authors Cited by (51) Tweetations (14) Metrics

Journals

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  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 View
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  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 View
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  7. König L, Sproesser G, Schupp H, 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 View
  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) View
  9. Wang Y, König L, 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 View
  10. Kollmann J, Nussbeck F, Lages N, Debbeler L, Schupp H, 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 View
  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 View
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  13. Vasiloglou M, 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 View
  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 View
  15. König L, 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 View
  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 View
  17. Jakowski S. Self-tracking via smartphone app: Potential tool for athletes’ recovery self-management?. German Journal of Exercise and Sport Research 2022;52(2):253 View
  18. Sproesser G, Aulbach M, Gültzow T, König L. 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 View
  19. Wu J, Fuchs K, Lian J, Haldimann M, 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 View
  20. Priesterroth L, Grammes J, Strohm E, 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 View
  21. König L, 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 View
  22. König L, 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 View
  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 View
  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 View
  25. Kramer L, van Velsen L, Clark J, Mulder B, 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 View
  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 View
  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 View
  28. Szinay D, Forbes C, Busse H, DeSmet A, Smit E, König L. 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) View
  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) View
  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 View
  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 View
  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 View
  33. Eliashevich S, Nunes Araukho D, Drapkina O. Eating behavior: disorders and how to assess them. Cardiovascular Therapy and Prevention 2023;22(8):3663 View
  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 View
  35. Mahmoodi Kahriz B, Snuggs S, Sah A, Clot S, Lamport D, Forrest J, Helme-Guizon A, Wilhelm M, Caldara C, Anin C, 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 View
  36. Lytvynenko O, König L. Investigation of Ukrainian refugees' eating behavior, food intake, and psychological distress: Study protocol and baseline data. Applied Psychology: Health and Well-Being 2024;16(3):923 View
  37. Wunsch K, Fiedler J, Hubenschmid S, Reiterer H, Renner B, Woll A. An mHealth Intervention Promoting Physical Activity and Healthy Eating in a Family Setting (SMARTFAMILY): Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e51201 View
  38. Ramalho A, Paulo R, Duarte-Mendes P, Serrano J, Petrica J. Age Unplugged: A Brief Narrative Review on the Intersection of Digital Tools, Sedentary and Physical Activity Behaviors in Community-Dwelling Older Adults. Healthcare 2024;12(9):935 View
  39. Jakob R, Narauskas J, Fleisch E, König L, Kowatsch T. Factors associated with adherence to a public mobile nutritional health intervention: Retrospective cohort study. Computers in Human Behavior Reports 2024;15:100445 View
  40. Manzano-Felipe M, Cruz-Cobo C, Bernal-Jiménez M, Santi-Cano M. Effectiveness of a nurse-led mHealth approach in preventing obesity in adolescents: an intervention study. Journal of Research in Nursing 2024;29(4-5):348 View
  41. Sharma V, Payal R, Dutta K, Poulose J, Kapse M. A comprehensive examination of factors influencing intention to continue usage of health and fitness apps: a two-stage hybrid SEM-ML analysis. Cogent Business & Management 2024;11(1) View
  42. König L, Schupp H, Renner B. A matter of the metric? Sugar content overestimation is less pronounced in sugar cubes versus grams. Nutrition Research 2024;131:111 View
  43. Keller V, Ercsey I, Printz-Markó E. Evaluation criteria for lifestyle applications – The role of MAUQ factors in satisfaction. Management & Marketing 2024;19(3):498 View
  44. Schüler J, Bieleke M. Assessing and exploring self-enacted behavior change techniques: frequency, structure, and relevance for physical activity and healthy eating. Current Psychology 2024 View

Books/Policy Documents

  1. John M, Kleppisch M. Prävention und Gesundheitsförderung. View
  2. Boland M, Alam F, Bronlund J. Trends in Personalized Nutrition. View
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