Key result
Longer REM sleep and more daily steps linked to a younger wearable-derived CV fitness age.
Why the study?
Traditional cardiovascular age estimates require clinical testing, but whether consumer wearable-derived cardiorespiratory fitness age estimates capture substantive lifestyle variation had not been examined.
Does wearable-derived cardiovascular fitness age correlate with independent lifestyle metrics in adult users?
Cohort (n=442)
Does wearable-derived cardiovascular fitness age correlate with independent lifestyle metrics in adult users?
Effect estimate: r = -0.203 (95% CI -0.290 to -0.104)
p-value: p=<0.001
Wearable-derived cardiovascular fitness age correlates with independent lifestyle factors like sleep and physical activity, suggesting it captures genuine physiological variation beyond its direct algorithmic inputs.
Wearable Cardio Age associates with independent lifestyle factors; leaves open clinical adoption pending prospective validation.
Introduction Cardiovascular age is a powerful risk-communication tool that translates complex physiological data into an intuitive number, yet traditional estimates require clinical testing. Consumer wearables now estimate cardiorespiratory fitness age from photoplethysmography-derived heart rate data, enabling continuous, passive health monitoring, but whether such estimates capture substantive lifestyle variation has not been examined. Methods We characterized Cardio Age, a wearable-derived cardiorespiratory fitness age estimate, in 442 Ultrahuman Ring users across a 12-month window ending February 2026 (retrospective observational cohort), separating independent lifestyle correlates from direct or indirect algorithmic inputs. Analyses used cross-sectional Spearman rank correlations, extreme-group comparisons between the youngest and oldest cardiovascular ages, and within-person longitudinal trajectories. Results The mean Cardio Age gap (CA gap; mean Cardio Age minus chronological age) was −1.84 ± 2.97 years, with 82.6% of participants exhibiting younger estimated cardiovascular ages. Independent lifestyle metrics with no algorithmic link to Cardio Age showed significant associations: sleep efficiency ( r = −0.194, p < 0.001), rapid eye movement (REM) sleep ( r = −0.203, p < 0.001), sleep duration ( r = −0.200, p < 0.001), and daily steps ( r = −0.145, p = 0.003). A monotonic body mass index (BMI) dose-response was observed, with underweight participants showing a mean CA gap of −3.73 years versus −0.52 for obese participants. Extreme-group comparisons revealed that users with the youngest cardiovascular ages slept 37 minutes longer, achieved 22 more minutes of REM sleep, and had 1.8% higher sleep efficiency than those with the oldest cardiovascular ages (all p < 0.05). Sustained improvers over 12 months showed a mean CA reduction of 3.24 years; across the broader longitudinal improver and worsener groups, improving trajectories were accompanied by decreased resting heart rate (−0.8 bpm, p < 0.001) and increased estimated VO 2 max (+1.3 mL/kg/min, p < 0.001). Discussion These independent lifestyle associations indicate that Cardio Age reflects physiological and behavioral variation beyond its algorithmic inputs. The within-person concordance with decreased resting heart rate and increased estimated VO 2 max, both direct algorithm inputs, is consistent with sensitivity to physiological change over time, supporting Cardio Age as a continuous, intuitive cardiovascular-fitness indicator.
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Shanmugam et al. (2026) conducted a cohort in Healthy adults (General Population) (n=442). Independent lifestyle factors (sleep duration, REM sleep, sleep efficiency, daily steps) vs. Lower levels of lifestyle factors was evaluated on Correlation between REM sleep duration and Cardio Age gap (estimated cardiovascular age minus chronological age) (r = -0.203, 95% CI -0.290 to -0.104, p=<0.001). Independent lifestyle factors, including longer REM sleep, longer sleep duration, higher sleep efficiency, and more daily steps, were significantly associated with a younger wearable-derived cardiovascular fitness age.
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