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

Formative Evaluation of Digital Health Interventions (2847) mHealth for Wellness, Behavior Change and Prevention (3115) Methods and Feasibility Studies (398) Wearable Devices and Sensors (1009) Depression and Mood Disorders; Suicide Prevention (1527) New Methods (1034) Fitness Trackers and Smart Pedometers/Accelerometers (613)

Published on in Vol 6, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33952, first published .
Fitbits for Monitoring Depressive Symptoms in Older Aged Persons: Qualitative Feasibility Study

Fitbits for Monitoring Depressive Symptoms in Older Aged Persons: Qualitative Feasibility Study

Fitbits for Monitoring Depressive Symptoms in Older Aged Persons: Qualitative Feasibility Study

Authors of this article:

Fiza Mughal1 Author Orcid Image ;   William Raffe1 Author Orcid Image ;   Peter Stubbs2 Author Orcid Image ;   Ian Kneebone3 Author Orcid Image ;   Jaime Garcia1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

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  2. Piotr Łapiński , Mateusz Świątko , Anna Tokarska , Marcin Grzebyk , Aleksandra Arnista , Joanna Rybak , Katarzyna Gawrońska , Agnieszka Waszczuk , Aleksandra Kołodziejczyk , Paweł Sosnowski . PREDICTING AFFECTIVE EPISODES THROUGH DIGITAL MONITORING OF CIRCADIAN RHYTHM DISTURBANCES: A SYSTEMATIC REVIEW OF MODERN TECHNOLOGY APPLICATIONS. International Journal of Innovative Technologies in Social Science 2025;(2(46)) View