Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43979, first published .
Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors

Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors

Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors

Journals

  1. Kytö M, Hotta S, Niinistö S, Marttinen P, Korhonen T, Markussen L, Jacucci G, Sievänen H, Vähä-Ypyä H, Korhonen I, Virtanen S, Heinonen S, Koivusalo S. Periodic mobile application (eMOM) with self-tracking of glucose and lifestyle improves treatment of diet-controlled gestational diabetes without human guidance: a randomized controlled trial. American Journal of Obstetrics and Gynecology 2024;231(5):541.e1 View
  2. Sa'id I, Hotung N, Benton M, Nadal I, Baharom A, Prina M, Nisak Mohd Yusof B, Goldsmith K, Birts S, Siew Mooi C, Forbes A, Ismail K, Chew B. Process Evaluations of Interventions for the Prevention of Type 2 Diabetes in Women With Gestational Diabetes Mellitus: Systematic Review. Interactive Journal of Medical Research 2025;14:e51718 View
  3. Määttänen S, Koivusalo S, Ylinen H, Heinonen S, Kytö M. Supporting Self-Management in Persons with Gestational Diabetes: The Effect of eMOM Mobile Application on Self-Discovery and Psychological Factors – A Mixed-Methods Study (Preprint). JMIR mHealth and uHealth 2024 View

Conference Proceedings

  1. Gordon James S, Armstrong M, Abdallah Z, Emerson H, O'Kane A. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches View