Weight and Sleep Health in OSA: Fitbit Data from a 12-Month Intervention Study

Caroline J. Beatty's dataset contains Fitbit-derived sleep metrics for 28 participants newly diagnosed with obstructive sleep apnea (OSA). The data was collected over a 12-month period, including a 6-month weight-loss intervention in a step-wedge design. It includes variables such as sleep duration, sleep regularity, and sleep efficiency, analyzed against weight and weight change.

Use Cases

• Analyze associations between body weight and sleep regularity based on Fitbit-derived metrics
• Model the impact of weight change interventions on sleep duration and efficiency in OSA patients
• Validate wearable device data for sleep health monitoring in clinical populations

Strengths

• Includes longitudinal data from a 12-month study with a 6-month intervention period
• Contains Fitbit-derived sleep metrics (duration, regularity, efficiency) for 28 participants
• Participants are clinically characterized (middle-aged, obesity, severe OSA with AHI 30.5 events/h)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect bias inherent to a small, specific clinical sample

Provenance

Source

Caroline J. Beatty via figshare

Collection Method

Sleep data analyzed from participants in a clinical study using Fitbit devices

Time Range

12-month observation period

Freshness

Last updated 2026-05-18 04:17:02; freshness should be verified