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

Area of Science:

• Digital health
• Gerontology
• Mental health technology

Background:

• Smart wearables are increasingly popular, with growing evidence for physical health benefits.
• Research is needed on their feasibility for mental health and well-being, especially for remote monitoring.
• Existing emotion recognition studies often rely on external cues, not true emotional states.

Purpose of the Study:

• To assess the feasibility and acceptability of using consumer activity trackers for remote mental health monitoring in older adults.
• To evaluate the potential of these devices in collecting physiological data for mental well-being.

Main Methods:

• Recruited older adults using criterion sampling.
• Participants used a Fitbit Alta HR for 4 weeks, completing weekly online questionnaires (including Geriatric Depression Scale).
• Semistructured qualitative interviews were conducted pre- and post-study to assess acceptance and feasibility.

Main Results:

• 12 participants enrolled; 9 completed interviews.
• 78% reported no inconvenience, and 67% expressed interest in a prototype.
• Participants preferred remote monitoring of mental well-being by carers.

Conclusions:

• Fitbit-like devices are unobtrusive and convenient for collecting physiological user data.
• Future research should integrate physiological data to predict depressive tendencies.
• Consumer-grade wearables show promise for remote mental health monitoring in older populations.