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

mHealth for Wellness, Behavior Change and Prevention (2516) Innovations and Technology for Healthy Eating Education (360)

Published on in Vol 7, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12326, first published .
Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study

Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study

Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study

Authors of this article:

Nathalie Kliemann 1, 2 Author Orcid Image ;   Helen Croker 2 Author Orcid Image ;   Fiona Johnson 2 Author Orcid Image ;   Rebecca J Beeken 2, 3 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

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  9. Wilson D, Driller M, Johnston B, Gill N. A Contactless App-Based Intervention to Improve Health Behaviors in Airline Pilots: A Randomized Trial. American Journal of Preventive Medicine 2023;64(5):666 View
  10. Quero C, Crié D. Un modèle d’expérience consommateur et de création de valeur dans un contexte de bien-être : le cas du Quantified-Self dans un but de régulation pondérale. Management & Avenir 2020;N° 119(5):15 View
  11. 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 View
  12. 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
  13. Dias S, Oikonomidis Y, Diniz J, Baptista F, Carnide F, Bensenousi A, Botana J, 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 L. 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 View