Association of wearable-device-measured fragmented sedentary behavior with cardiovascular disease, mortality, and life expectancy.

Q3 Medicine
Tianhua Xing, Xu Tian, Jin Liu, Xunjie Cheng, Jeffrey W Ripley-Gonzalez, Liwen He, Yaoshan Dun, Suixin Liu
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引用次数: 0

Abstract

Objectives: It remains unclear whether the degree of fragmentation modifies the adverse health outcomes associated with prolonged sedentary behavior. This study aims to investigate the associations of objectively measured sedentary patterns with incident cardiovascular disease (CVD), mortality, and life expectancy.

Methods: This prospective cohort study included 89 010 UK Biobank participants (median age 63.5 years, 56.5% women) who provided 3 to 7 valid days of wrist accelerometer data. Daily sedentary time and number of sedentary breaks were the metrics of interest. Four overall sedentary behavior patterns were identified by joint classification of sedentary time and number of sedentary breaks. Outcomes were all-cause mortality, CVD incidence and mortality, CVD-free life expectancy, and total life expectancy. Multivariable Cox proportional hazards models were used to evaluate the associations of sedentary behavior metrics with all-cause mortality and CVD incidence, whereas Fine-Gray competing-risk models were used to evaluate their associations with cardiovascular mortality, with non-CVD death treated as a competing event. Restricted cubic splines were used to assess potential nonlinear associations. Multi-state survival analyses were performed to estimate CVD-free life expectancy. Isotemporal substitution models were used to estimate the effects of replacing sedentary time with moderate-to-vigorous physical activity (MVPA).

Results: During a median follow-up of 8.0 years, 3 730 deaths occurred, including 1 223 CVD deaths and 8 883 incident CVD cases. Total sedentary time showed J-shaped dose-response associations with all-cause and cardiovascular mortality and a linear association with increased CVD incidence. The number of sedentary breaks showed L-shaped associations with risks of all-cause mortality and CVD mortality. Compared to the least sedentary group, participants with prolonged sedentary time (≥10 h/d) and a low degree of fragmentation (sedentary break <12 bouts/d) had a 51.5% higher risk of all-cause mortality [hazard ratio (HR)=1.515, 95% confidence interval (CI) 1.380 to 1.663], a 55.3% higher risk of cardiovascular mortality (subdistribution HR=1.553, 95% CI 1.325 to 1.820), and a 10.0% higher risk of incident CVD (HR=1.100, 95% CI 1.030 to 1.174). At age 50, the loss of life expectancy was primarily observed in CVD-free years (men: -2.770 years, 95% CI -3.392 to -2.148; women: -3.113 years, 95% CI -3.794 to -2.432). Notably, a higher frequency of sedentary breaks attenuated the increased mortality risk and the loss of CVD-free life expectancy associated with prolonged sedentary time. Nevertheless, replacing sedentary behavior with MVPA reduced the risk of mortality and CVD incidence among all sedentary participants, regardless of levels of fragmentation.

Conclusions: Prolonged sedentary time and its uninterrupted accumulation patterns are associated with greater risks of mortality and CVD, alongside reductions in CVD-free life expectancy. The increased mortality risk and the loss of CVD-free years may be mitigated by frequent interruptions to sedentary behavior.

可穿戴设备测量的碎片化久坐行为与心血管疾病、死亡率和预期寿命的关联
目的:目前尚不清楚碎片化程度是否会改变与长时间久坐行为相关的不良健康结果。本研究旨在探讨客观测量的久坐模式与心血管疾病(CVD)、死亡率和预期寿命之间的关系。方法:这项前瞻性队列研究包括89010名英国生物银行参与者(中位年龄63.5岁,56.5%为女性),他们提供了3至7天的有效腕加速度计数据。每天久坐的时间和久坐休息的次数是他们感兴趣的指标。通过对久坐时间和久坐休息次数的联合分类,确定了四种总体久坐行为模式。结果包括全因死亡率、心血管疾病发病率和死亡率、无心血管疾病预期寿命和总预期寿命。多变量Cox比例风险模型用于评估久坐行为指标与全因死亡率和心血管疾病发病率的关联,而Fine-Gray竞争风险模型用于评估其与心血管死亡率的关联,非心血管疾病死亡被视为竞争事件。限制三次样条用于评估潜在的非线性关联。进行多状态生存分析以估计无cvd的预期寿命。使用等时间替代模型来估计用中等到剧烈的身体活动(MVPA)代替久坐时间的效果。结果:在中位随访8.0年期间,发生3 730例死亡,其中1 223例CVD死亡,8 883例CVD发病。总久坐时间与全因死亡率和心血管死亡率呈j型剂量反应关系,与CVD发病率增加呈线性关系。久坐休息的次数与全因死亡率和心血管疾病死亡率的风险呈l型相关。与最少久坐组相比,久坐时间延长(≥10小时/天)且碎片化程度低(久坐休息HR= 1.515, 95%可信区间(CI) 1.380 ~ 1.663)的参与者心血管死亡风险高55.3%(亚分布HR=1.553, 95% CI 1.325 ~ 1.820),心血管疾病发生风险高10.0% (HR=1.100, 95% CI 1.030 ~ 1.174)。在50岁时,预期寿命的减少主要发生在无心血管疾病的年份(男性:-2.770岁,95% CI -3.392至-2.148;女性:-3.113岁,95% CI -3.794至-2.432)。值得注意的是,久坐休息的频率越高,就越能降低因久坐而增加的死亡风险和无心血管疾病预期寿命的损失。然而,用MVPA代替久坐行为降低了所有久坐参与者的死亡率和心血管疾病发病率,无论碎片化程度如何。结论:久坐时间的延长及其不间断的累积模式与更高的死亡率和心血管疾病风险相关,同时降低无心血管疾病的预期寿命。死亡风险的增加和无心血管疾病年数的减少可以通过频繁中断久坐行为来减轻。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
中南大学学报(医学版)
中南大学学报(医学版) Medicine-Medicine (all)
CiteScore
1.00
自引率
0.00%
发文量
8237
期刊介绍: Journal of Central South University (Medical Sciences), founded in 1958, is a comprehensive academic journal of medicine and health sponsored by the Ministry of Education and Central South University. The journal has been included in many important databases and authoritative abstract journals at home and abroad, such as the American Medline, Pubmed and its Index Medicus (IM), the Netherlands Medical Abstracts (EM), the American Chemical Abstracts (CA), the WHO Western Pacific Region Medical Index (WPRIM), and the Chinese Science Citation Database (Core Database) (CSCD); it is a statistical source journal of Chinese scientific and technological papers, a Chinese core journal, and a "double-effect" journal of the Chinese Journal Matrix; it is the "2nd, 3rd, and 4th China University Excellent Science and Technology Journal", "2008 China Excellent Science and Technology Journal", "RCCSE China Authoritative Academic Journal (A+)" and Hunan Province's "Top Ten Science and Technology Journals". The purpose of the journal is to reflect the new achievements, new technologies, and new experiences in medical research, medical treatment, and teaching, report new medical trends at home and abroad, promote academic exchanges, improve academic standards, and promote scientific and technological progress.
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