Exercise & Training

Linking Attainment of Wearable-Derived Sleep and Physical Activity Recommendations with Cardiometabolic Biomarkers and Employer Health Care Claims: A Feasibility Study.

TL;DR

Among 80 wearable members stratified into quartiles of attainment of combined physical-activity and sleep recommendations, higher attainment showed age-adjusted associations with lower resting heart rate and BMI and higher heart rate variability, and the lowest-attainment quartile incurred approximately 12-fold higher annual per-member health care spending than the other quartiles.

Key Findings

Higher attainment of combined wearable-derived physical activity and sleep recommendations was associated with a more favorable cardiometabolic profile, specifically lower resting heart rate and BMI and higher heart rate variability.

  • The sample was 80 wearable members stratified into quartiles of attainment of combined physical-activity and sleep recommendations.
  • The associations were age-adjusted.
  • The abstract reports no effect sizes or p-values for these associations.

The lowest-attainment quartile had approximately 12-fold higher annual per-member health care spending than the other quartiles.

  • Spending was measured using employer health care claims linked to wearable data.
  • The comparison was between the lowest quartile of attainment of combined physical-activity and sleep recommendations and the other quartiles.
  • The sample was small (n = 80), and the study was described as a feasibility study.

The study showed that wearable-derived behavior data, cardiometabolic biomarkers, and employer health care claims can be linked within a single analysis.

  • The title and design describe the work as a feasibility study linking attainment of wearable-derived sleep and physical activity recommendations with biomarkers and claims.
  • Members were stratified into quartiles by combined attainment of activity and sleep recommendations.

What This Means

This small feasibility study looked at 80 people who wore fitness and sleep trackers. Researchers grouped them into four equal-sized groups based on how well they met recommendations for both physical activity and sleep. People who met the recommendations more often tended to have a lower resting heart rate, a lower BMI, and higher heart rate variability (a marker often linked to heart and nervous-system health), after accounting for age. The researchers also linked the wearable data to employer health care claims. The group that met the recommendations least often had about 12 times higher yearly health care spending per person than the other three groups. This suggests that wearable-tracked sleep and activity habits might be connected to both health markers and health care costs. The study was small and was designed mainly to test whether these data sources can be combined, so it cannot show that better sleep and activity habits cause lower costs or better health. Larger studies would be needed to confirm the patterns.

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Citation

Grosicki G, von Hippel W, Fielding F, Holden L, Cheung C, Cohen J, et al.. (2026). Linking Attainment of Wearable-Derived Sleep and Physical Activity Recommendations with Cardiometabolic Biomarkers and Employer Health Care Claims: A Feasibility Study.. JMIR formative research. https://doi.org/10.2196/109259