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

Formative Evaluation of Digital Health Interventions (3282) Web-based and Mobile Health Interventions (4057) Health Coaching for Diabetes Patients (176) Exercise and Diet Tracking for Diabetes Patients (121) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1751) mHealth for Wellness, Behavior Change and Prevention (3343)

Published on in Vol 6, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40739, first published .
Agreement Between Clinically Measured Weight and Self-reported Weight Among Patients With Type 2 Diabetes Through an mHealth Lifestyle Coaching Program in Denmark: Secondary Analysis of a Randomized Controlled Trial

Agreement Between Clinically Measured Weight and Self-reported Weight Among Patients With Type 2 Diabetes Through an mHealth Lifestyle Coaching Program in Denmark: Secondary Analysis of a Randomized Controlled Trial

Agreement Between Clinically Measured Weight and Self-reported Weight Among Patients With Type 2 Diabetes Through an mHealth Lifestyle Coaching Program in Denmark: Secondary Analysis of a Randomized Controlled Trial

Authors of this article:

Albi Imeraj1 Author Orcid Image ;   Thomas Bastholm Olesen2 Author Orcid Image ;   Ditte Hjorth Laursen3 Author Orcid Image ;   Jens Søndergaard1 Author Orcid Image ;   Carl Joakim Brandt1 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

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  2. Whatnall M, Kolokotroni K, Fozard T, Evans T, Marwood J, Ells L, Burrows T. How is online self-reported weight compared with image-captured weight? A comparative study using data from an online longitudinal study of young adults. The American Journal of Clinical Nutrition 2023;118(2):452 View
  3. 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
  4. Ard J, Hong Y, Foster G, Medcalf A, Nadolsky S, Cardel M. Twelve‐month analysis of real‐world evidence from a telehealth obesity‐treatment provider using antiobesity medications. Obesity 2024;32(12):2246 View
  5. Luo D, Zhang Z, Sibomana O, Izere S. Comparison of diagnostic accuracy of electrocardiogram-based versus photoplethysmography-based smartwatches for atrial fibrillation detection. Annals of Medicine & Surgery 2025;87(4):2307 View
  6. Zheng Y, Zhang H, Sun X, Chen Y, Dan T, Feng B, Wang Y, Huang X, Xiong L. Machine learning-driven prediction model of adult body weight based on integrated bioelectrical impedance and infrared imaging. Biosensors and Bioelectronics 2026;293:118152 View
  7. Tchang B, Broffman L, Manalac R, Chai S, Samonas N, Barnes M, Allison D. Real‐World Evidence on Weight Loss and Safety With Semaglutide in Obesity Telehealth: A Large Retrospective Cohort Study. Obesity 2025 View

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  1. Castanheiro M, Teixeira A, Monteiro H, Páscoa R. Proceedings of 20th Iberian Conference on Information Systems and Technologies (CISTI 2025). View