Association of lifestyle with deep learning predicted electrocardiographic age

• Published in: Frontiers in cardiovascular medicine Vol. 10; p. 1160091
• Main Authors: Zhang, Cuili, Miao, Xiao, Wang, Biqi, Thomas, Robert J, Ribeiro, Antônio H, Brant, Luisa C C, Ribeiro, Antonio L P, Lin, Honghuang
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 2023
• Subjects: biological age; Cardiovascular Medicine; deep learning; electrocardiogram; epidemiology-analytic (risk factors); lifestyle; deep learning; electrocardiogram; biological age; epidemiology—analytic (risk factors); lifestyle

People age at different rates. Biological age is a risk factor for many chronic diseases independent of chronological age. A good lifestyle is known to improve overall health, but its association with biological age is unclear. This study included participants from the UK Biobank who had undergone 1...