Who Self-Weighs and What Do They Gain From It? A Retrospective Comparison Between Smart Scale Users and the General Population in England

Who Self-Weighs and What Do They Gain From It? A Retrospective Comparison Between Smart Scale Users and the General Population in England

Who Self-Weighs and What Do They Gain From It? A Retrospective Comparison Between Smart Scale Users and the General Population in England

Journals

  1. Lin P, Grambow S, Intille S, Gallis J, Lazenka T, Bosworth H, Voils C, Bennett G, Batch B, Allen J, Corsino L, Tyson C, Svetkey L. The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(10):e10471 View
  2. Mendez D, Sanders S, Karimi H, Gharani P, Rathbun S, Gary-Webb T, Wallace M, Gianakas J, Burke L, Davis E. Understanding Pregnancy and Postpartum Health Using Ecological Momentary Assessment and Mobile Technology: Protocol for the Postpartum Mothers Mobile Study. JMIR Research Protocols 2019;8(6):e13569 View
  3. Evans E, Sainsbury K, Marques M, Santos I, Pedersen S, Lähteenmäki L, Teixeira P, Stubbs R, Heitmann B, Sniehotta F. Prevalence and predictors of weight loss maintenance: a retrospective population‐based survey of European adults with overweight and obesity. Journal of Human Nutrition and Dietetics 2019;32(6):745 View
  4. Vuorinen A, Erkkola M, Fogelholm M, Kinnunen S, Saarijärvi H, Uusitalo L, Näppilä T, Nevalainen J. Characterization and Correction of Bias Due to Nonparticipation and the Degree of Loyalty in Large-Scale Finnish Loyalty Card Data on Grocery Purchases: Cohort Study. Journal of Medical Internet Research 2020;22(7):e18059 View
  5. Karampela M, Isomursu M, Porat T, Maramis C, Mountford N, Giunti G, Chouvarda I, Lehocki F. The Extent and Coverage of Current Knowledge of Connected Health: Systematic Mapping Study. Journal of Medical Internet Research 2019;21(9):e14394 View
  6. Fagherazzi G, El Fatouhi D, Bellicha A, El Gareh A, Affret A, Dow C, Delrieu L, Vegreville M, Normand A, Oppert J, Severi G. An International Study on the Determinants of Poor Sleep Amongst 15,000 Users of Connected Devices. Journal of Medical Internet Research 2017;19(10):e363 View
  7. Hicks J, Althoff T, Sosic R, Kuhar P, Bostjancic B, King A, Leskovec J, Delp S. Best practices for analyzing large-scale health data from wearables and smartphone apps. npj Digital Medicine 2019;2(1) View
  8. El Fatouhi D, Delrieu L, Goetzinger C, Malisoux L, Affret A, Campo D, Fagherazzi G. Associations of Physical Activity Level and Variability With 6-Month Weight Change Among 26,935 Users of Connected Devices: Observational Real-Life Study. JMIR mHealth and uHealth 2021;9(4):e25385 View
  9. Frija-Masson J, Mullaert J, Vidal-Petiot E, Pons-Kerjean N, Flamant M, d'Ortho M. Accuracy of Smart Scales on Weight and Body Composition: Observational Study. JMIR mHealth and uHealth 2021;9(4):e22487 View
  10. Vuorinen A, Helander E, Pietilä J, Korhonen I. Frequency of Self-Weighing and Weight Change: Cohort Study With 10,000 Smart Scale Users. Journal of Medical Internet Research 2021;23(6):e25529 View
  11. Johannessen E, Johansson J, Hartvigsen G, Horsch A, Årsand E, Henriksen A. Collecting health-related research data using consumer-based wireless smart scales. International Journal of Medical Informatics 2023;173:105043 View
  12. Pulantara I, Wang Y, Burke L, Sereika S, Bizhanova Z, Kariuki J, Beatrice B, Loar I, Cedillo M, Conroy M, Parmanto B. Streamlining data collection and management of mHealth, Wearable, and IoT in Digital Behavioral Health Intervention with ADAM: Development of A Novel Informatics Architecture (Preprint). JMIR mHealth and uHealth 2023 View