可穿戴设备测量的昼夜休息-活动节律与癌症患者的死亡风险。

IF 4.4 Q1 HEALTH CARE SCIENCES & SERVICES
Xionge Mei, Nana Zheng, Biao Li, Yue Liu, Lulu Yang, Tong Luo, Ngan Yin Chan, Joey Wy Chan, Yaping Liu, Xiao Tan, Christian Benedict, Yun Kwok Wing, Jihui Zhang, Hongliang Feng
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引用次数: 0

摘要

目的:目的是检查加速度计测量的昼夜节律休息活动节律(CRAR)(人类最突出的昼夜节律)与癌症患者全因死亡风险、癌症和心血管疾病(CVD)之间的关系。方法:7456名来自UK Biobank的癌症参与者被纳入研究。所有参与者在2013年至2015年期间佩戴加速度计,并随访至2024年1月24日,中位随访时间为9年。利用在自由生活条件下采集的7 d加速度计数据计算CRAR的多维参数。采用Cox比例风险模型评估CRAR与全因、癌症和心血管疾病死亡率之间的关系。结果:7456例44-79岁的癌症患者(平均年龄:65.7±6.87岁,58.85%为女性)中,934例(12.5%)死亡发生在9岁以上(64 525人-年)。CRAR中断,包括低振幅、低中端和高碎片化,与癌症患者全因死亡率(调整HR范围,1.30-2.00)、癌症(调整HR范围,1.46-1.83)和CVD死亡率(调整HR范围,1.73-2.66)的风险增加显著相关。讨论:这些关联在各种癌症类型中都很明显。此外,在预测死亡率方面,CRAR中断,特别是低振幅,超过了睡眠不良、吸烟、饮酒、肥胖和不健康饮食等多种传统风险因素。结论:CRAR参数可作为癌症患者死亡率的新颖且可靠的预测指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wearable device-measured circadian rest-activity rhythm with mortality risk in patients with cancer.

Objectives: The objectives were to examine the associations between accelerometer-measured circadian rest-activity rhythm (CRAR), the most prominent circadian rhythm in humans and the risk of mortality from all-cause, cancer and cardiovascular disease (CVD) in patients with cancer.

Methods: 7456 cancer participants from the UK Biobank were included. All participants wore accelerometers from 2013 to 2015 and were followed up until 24 January 2024, with a median follow-up of 9.00 years. The multidimensional parameters of the CRAR were calculated using the 7-day accelerometer data collected under free-living conditions. Cox proportional hazard models were used to evaluate the associations between CRAR and all-cause, cancer and CVD mortality.

Results: Among 7456 cancer patients (mean age: 65.7±6.87 years; 58.85% women) aged 44-79 years, 934 (12.5%) deaths occurred over 9.00 years (64 525 person-years). CRAR disruptions, including low amplitude, low mesor and high fragmentation, were significantly associated with an increased risk of all-cause mortality (adjusted HR range, 1.30-2.00), cancer (adjusted HR range, 1.46-1.83) and CVD mortality (adjusted HR range, 1.73-2.66) in patients with cancer.

Discussion: These associations were robust across various cancer types. In addition, CRAR disruptions, particularly low amplitude, exceeded multiple traditional risk factors such as poor sleep, smoking, alcohol consumption, obesity and unhealthy diet in predicting mortality.

Conclusion: CRAR parameters may serve as novel and robust predictors of mortality in patients with cancer.

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来源期刊
CiteScore
6.10
自引率
4.90%
发文量
40
审稿时长
18 weeks
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