Association of lifestyle with deep learning predicted electrocardiographic age.
Association of lifestyle with deep learning predicted electrocardiographic age.
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DOI：
10.3389/fcvm.2023.1160091
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发表时间：
2023
影响因子：
3.6
通讯作者：
Lin, Honghuang
中科院分区：
文献类型：
--
作者：
Zhang, Cuili;Miao, Xiao;Wang, Biqi;Thomas, Robert J. J.;Ribeiro, Antonio H.;Brant, Luisa C. C.;Ribeiro, Antonio L. P.;Lin, Honghuang
人们衰老的速度不同。生物年龄是许多慢性病的危险因素，与实际年龄无关。众所周知，良好的生活方式可以改善整体健康状况，但其与生物年龄的关系尚不清楚。这项研究包括来自英国生物银行的参与者，他们接受了12导联静息心电图（ECG）。通过深度学习模型估计生物年龄（定义为脑电图年龄），脑电图年龄与实足年龄之间的差异定义为Δage。参与者进一步被分为理想生活方式（得分4）、中等生活方式（得分2和3）或不良生活方式（得分0或1）。调查了四种生活方式因素，包括饮食、饮酒、体育活动和吸烟。使用线性回归模型来检验生活方式因素与Δage之间的关系，并根据性别和实足年龄对模型进行了调整。本研究纳入44,094例个体（平均年龄64±8岁，女性占51.4%）。预测生物年龄与实足年龄之间存在显著相关（相关系数= 0.54,P < 0.001），平均Δage（生物年龄与实足年龄的绝对误差）为9.8±7.4岁。Δage与所有四种生活方式因素均显著相关，效应值范围从健康饮食的0.41±0.11到不吸烟的2.37±0.30。与理想的生活方式相比，不良的生活方式与预测心电图年龄平均延长2.50±0.29岁相关。在这个庞大的当代人群中，观察到所有四种被研究的健康生活方式因素与延缓衰老之间存在很强的关联。我们的研究强调了健康的生活方式对减少与衰老有关的疾病负担的重要性。
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 12-lead resting electrocardiography (ECG). Biological age was estimated by a deep learning model (defined as ECG-age), and the difference between ECG-age and chronological age was defined as Δage. Participants were further categorized into an ideal (score 4), intermediate (scores 2 and 3) or unfavorable lifestyle (score 0 or 1). Four lifestyle factors were investigated, including diet, alcohol consumption, physical activity, and smoking. Linear regression models were used to examine the association between lifestyle factors and Δage, and the models were adjusted for sex and chronological age. This study included 44,094 individuals (mean age 64 ± 8, 51.4% females). A significant correlation was observed between predicted biological age and chronological age (correlation coefficient = 0.54, P < 0.001) and the mean Δage (absolute error of biological age and chronological age) was 9.8 ± 7.4 years. Δage was significantly associated with all of the four lifestyle factors, with the effect size ranging from 0.41 ± 0.11 for the healthy diet to 2.37 ± 0.30 for non-smoking. Compared with an ideal lifestyle, an unfavorable lifestyle was associated with an average of 2.50 ± 0.29 years of older predicted ECG-age. In this large contemporary population, a strong association was observed between all four studied healthy lifestyle factors and deaccelerated aging. Our study underscores the importance of a healthy lifestyle to reduce the burden of aging-related diseases.
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影响因子：
16.6
作者：
Lima EM;Ribeiro AH;Paixão GMM;Ribeiro MH;Pinto-Filho MM;Gomes PR;Oliveira DM;Sabino EC;Duncan BB;Giatti L;Barreto SM;Meira W Jr;Schön TB;Ribeiro ALP
通讯作者：
Ribeiro ALP
影响因子：
37.8
作者：
Khurshid S;Friedman S;Reeder C;Di Achille P;Diamant N;Singh P;Harrington LX;Wang X;Al-Alusi MA;Sarma G;Foulkes AS;Ellinor PT;Anderson CD;Ho JE;Philippakis AA;Batra P;Lubitz SA
通讯作者：
Lubitz SA
全基因组甲基化谱揭示了人类衰老速度的定量观点。
影响因子：
16
作者：
Hannum, Gregory;Guinney, Justin;Zhao, Ling;Zhang, Li;Hughes, Guy;Sadda, SriniVas;Klotzle, Brandy;Bibikova, Marina;Fan, Jian-Bing;Gao, Yuan;Deconde, Rob;Chen, Menzies;Rajapakse, Indika;Friend, Stephen;Ideker, Trey;Zhang, Kang
通讯作者：
Zhang, Kang
DOI：
10.1056/nejmoa1605086
发表时间：
2016-12-15
期刊：
The New England journal of medicine
影响因子：
--
作者：
Khera AV;Emdin CA;Drake I;Natarajan P;Bick AG;Cook NR;Chasman DI;Baber U;Mehran R;Rader DJ;Fuster V;Boerwinkle E;Melander O;Orho-Melander M;Ridker PM;Kathiresan S
通讯作者：
Kathiresan S
影响因子：
168.9
作者：
Attia, Zachi, I;Noseworthy, Peter A.;Friedman, Paul A.
通讯作者：
Friedman, Paul A.