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

mHealth for Wellness, Behavior Change and Prevention (2922) Innovations and Technology for Healthy Eating Education (425)

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 Kliemann1, 2 Author Orcid Image ;   Helen Croker2 Author Orcid Image ;   Fiona Johnson2 Author Orcid Image ;   Rebecca J Beeken2, 3 Author Orcid Image
Article Authors Cited by (18) Tweetations (4) Metrics

Journals

  1. Sattar N, Gill J, Alazawi W. Improving prevention strategies for cardiometabolic disease. Nature Medicine 2020;26(3):320 View
  2. Price M, Higgs S, Wilkinson L, Lee M, Embling R, Kuberka P, Hamill A, Collier J, Keable-Steer S, Reitmaier T, Mukhopadhyay S, Lindsay S. Construal beliefs moderate the usability and effectiveness of a novel healthy eating mobile app. Physiology & Behavior 2020;222:112941 View
  3. Milne-Ives M, Lam C, De Cock C, Van Velthoven M, Meinert E. Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review. JMIR mHealth and uHealth 2020;8(3):e17046 View
  4. Jiang J, Gu X, Cheng C, Li H, Sun X, Duan R, Zhu Y, Sun L, Chen F, Bao Z, Zhang Y, Shen J. The Hospital-Community-Family–Based Telemedicine (HCFT-AF) Program for Integrative Management of Patients With Atrial Fibrillation: Pilot Feasibility Study. JMIR mHealth and uHealth 2020;8(10):e22137 View
  5. Valle C, Nezami B, Tate D. Designing in-app messages to nudge behavior change: Lessons learned from a weight management app for young adults. Organizational Behavior and Human Decision Processes 2020;161:95 View
  6. Sattar N, Valabhji J. Obesity as a Risk Factor for Severe COVID-19: Summary of the Best Evidence and Implications for Health Care. Current Obesity Reports 2021;10(3):282 View
  7. Pape M, Färber T, Seiferth C, Roth T, Schroeder S, Wolstein J, Herpertz S, Steins-Loeber S. A Tailored Gender-Sensitive mHealth Weight Loss Intervention (I-GENDO): Development and Process Evaluation. JMIR Formative Research 2022;6(10):e38480 View
  8. van Beurden S, Greaves C, Abraham C, Lawrence N, Smith J. ImpulsePal: The systematic development of a smartphone app to manage food temptations using intervention mapping. DIGITAL HEALTH 2021;7 View
  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
  14. Grady A, Pearson N, Lamont H, Leigh L, Wolfenden L, Barnes C, Wyse R, Finch M, Mclaughlin M, Delaney T, Sutherland R, Hodder R, Yoong S. The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e47987 View
  15. Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2) View
  16. Liu Z, Zhang Y, Zhang J, Song X. Run for the group: Examining the effects of group-level social interaction features of fitness apps on exercise participation. Decision Support Systems 2024;187:114335 View
  17. Eaton C, Vallejo N, McDonald X, Wu J, Rodríguez R, Muthusamy N, Mathioudakis N, Riekert K. User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review. Journal of Medical Internet Research 2024;26:e50508 View
  18. McClelland J, Gallagher D, Moore S, McGirr C, Beeken R, Croker H, Eastwood K, O’Neill R, Woodside J, McGowan L, McKinley M. Development of a habit-based intervention to support healthy eating and physical activity behaviours for pregnant women with overweight or obesity: Healthy Habits in Pregnancy and Beyond (HHIPBe). BMC Pregnancy and Childbirth 2024;24(1) View