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

Fitness Trackers and Smart Pedometers/Accelerometers (792) Mobile Health (mhealth) (5167) mHealth for Wellness, Behavior Change and Prevention (4263) Wearable Devices and Sensors (1580)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81123, first published .
Person checking a smartwatch with a black band and a circular display

Determining a Likely Mechanism of Missingness in Repeated Measures Sleep Data From Wearable Fitness Trackers: Longitudinal Analysis

Determining a Likely Mechanism of Missingness in Repeated Measures Sleep Data From Wearable Fitness Trackers: Longitudinal Analysis

Authors of this article:

Kate Mobley1 Author Orcid Image ;   Kevin B Gittner1, 2 Author Orcid Image ;   Karen Nielsen3 Author Orcid Image ;   Lauren M Matheny1 Author Orcid Image ;   Gita Taasoobshirazi1 Author Orcid Image ;   Charles Natuhamya4 Author Orcid Image ;   Monica H Swahn5 Author Orcid Image
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Journals

  1. Caulier-Cisterna R, Vega-Moraga A, Ramos-López D, Contreras-Briceño F. The Effectiveness of NIRS-Based Wearable Devices in Estimating Physical Activity Intensity in Patients with Chronic Non-Communicable Diseases: A Structured Narrative Review. Medical Sciences 2026;14(2):317 View