Background/Objectives: Wearable devices provide multidimensional measures of cardiometabolic health. We aimed to derive latent physiological dimensions from ECG and motion variables collected by a wearable device and evaluate their associations with the individual health metrics of the Longevity Check-Up 8+ (LC8+) programme. Methods: Community-dwelling adults voluntarily participating in four Longevity Check-Up 8+ (LC8+) events underwent 24-h multiparameter recording using a wearable device. Eight wearable-derived variables were entered into principal component analysis (PCA) to derive latent physiological dimensions. Component scores were subsequently evaluated for associations with overall LC8+ health, while exploratory analyses examined associations with individual health metric domains. Results: Ninety-seven participants (mean age 51.3 ± 13.4 years; 36% female) were enrolled. Among the 96 participants with complete data for the PCA, three latent physiological components were identified, explaining 70.1% of the total variance. PC1, which was characterised by high SDNN, high RMSSD, and low nocturnal heart rate, was independently associated with overall LC8+ health (LM: B = +0.402, 95% CI [+0.103, +0.700], p = 0.009). Among the eight LC8+ domains, only the association between PC1 and glycaemic health remained statistically significant after Benjamini–Hochberg correction in the primary fixed-effects analysis (95% CI [1.32, 4.62], adjusted p = 0.039). Conclusions: A wearable-derived autonomic component was associated with overall cardiometabolic health in community-dwelling adults. Among the individual LC8+ domains, the strongest association was observed for glycaemic health. These preliminary findings support further investigation of wearable device monitoring as a complementary tool for cardiovascular health assessment in preventive medicine.
Calvani, R., Sollazzo, F., Sarti, L. M., Gallo, A., Picca, A., Coelho-Júnior, H. J., Russo, A., Salini, S., Bianco, M., Marzetti, E., Palmieri, V., Landi, F., Tosato, M., A Wearable-Derived Autonomic Component Is Associated with Cardiovascular Health in Community-Dwelling Adults: A Cross-Sectional Analysis from the Longevity Check-Up 8+ Study, <<MEDICAL SCIENCES>>, 2026; 14 (5): N/A-N/A. [doi:10.3390/medsci14050540] [https://hdl.handle.net/10807/345656]
A Wearable-Derived Autonomic Component Is Associated with Cardiovascular Health in Community-Dwelling Adults: A Cross-Sectional Analysis from the Longevity Check-Up 8+ Study
Calvani, RiccardoPrimo
;Sollazzo, Fabrizio;Gallo, Antonella;Bianco, Massimiliano;Marzetti, Emanuele
;Palmieri, Vincenzo;Landi, Francesco;Tosato, MatteoUltimo
2026
Abstract
Background/Objectives: Wearable devices provide multidimensional measures of cardiometabolic health. We aimed to derive latent physiological dimensions from ECG and motion variables collected by a wearable device and evaluate their associations with the individual health metrics of the Longevity Check-Up 8+ (LC8+) programme. Methods: Community-dwelling adults voluntarily participating in four Longevity Check-Up 8+ (LC8+) events underwent 24-h multiparameter recording using a wearable device. Eight wearable-derived variables were entered into principal component analysis (PCA) to derive latent physiological dimensions. Component scores were subsequently evaluated for associations with overall LC8+ health, while exploratory analyses examined associations with individual health metric domains. Results: Ninety-seven participants (mean age 51.3 ± 13.4 years; 36% female) were enrolled. Among the 96 participants with complete data for the PCA, three latent physiological components were identified, explaining 70.1% of the total variance. PC1, which was characterised by high SDNN, high RMSSD, and low nocturnal heart rate, was independently associated with overall LC8+ health (LM: B = +0.402, 95% CI [+0.103, +0.700], p = 0.009). Among the eight LC8+ domains, only the association between PC1 and glycaemic health remained statistically significant after Benjamini–Hochberg correction in the primary fixed-effects analysis (95% CI [1.32, 4.62], adjusted p = 0.039). Conclusions: A wearable-derived autonomic component was associated with overall cardiometabolic health in community-dwelling adults. Among the individual LC8+ domains, the strongest association was observed for glycaemic health. These preliminary findings support further investigation of wearable device monitoring as a complementary tool for cardiovascular health assessment in preventive medicine.| File | Dimensione | Formato | |
|---|---|---|---|
|
medsci-14-00540.pdf
accesso aperto
Licenza:
Creative commons
Dimensione
469.6 kB
Formato
Adobe PDF
|
469.6 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



