Evidence map›Paper›PMID 42763296›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2026

Association of wearable

Tianhua Xing, Xu Tian, Jin Liu, Xunjie Cheng, Jeffrey W Ripley-Gonzalez, Liwen He, Yaoshan Dun, Suixin Liu

Abstract read
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Tianhua XingDepartment of Physical Medicine and Rehabilitation, Division of Cardiac Rehabilitation, Xiangya Hospital, Central South University, Changsha 410008. tianhuaxing@csu.edu.cn.
Xu TianSchool of Computer Science and Engineering, Hunan Provincial Key Laboratory on Bioinformatics, Central South University, Changsha 410083. tianxu@csu.edu.cn.
Jin LiuSchool of Computer Science and Engineering, Hunan Provincial Key Laboratory on Bioinformatics, Central South University, Changsha 410083.
Xunjie ChengNational Clinical Research Center for Geriatric Diseases (Xiangya Hospital of Central South University), Changsha 410008.
Jeffrey W Ripley-GonzalezDepartment of Physical Medicine and Rehabilitation, Division of Cardiac Rehabilitation, Xiangya Hospital, Central South University, Changsha 410008.
Liwen HeDepartment of Physical Medicine and Rehabilitation, Division of Cardiac Rehabilitation, Xiangya Hospital, Central South University, Changsha 410008.
Yaoshan DunDepartment of Physical Medicine and Rehabilitation, Division of Cardiac Rehabilitation, Xiangya Hospital, Central South University, Changsha 410008. dunyaoshan@csu.edu.cn.
Suixin LiuDepartment of Physical Medicine and Rehabilitation, Division of Cardiac Rehabilitation, Xiangya Hospital, Central South University, Changsha 410008. liusuixin@csu.edu.cn.

Funding

the Excellent Youth Science Foundation of Xiangya Hospital of Central South University 2024YQ04the GanPo Talents Program-Innovation Leading Talent Project gpyc20250228the Health Research Project of Health Commission of Hunan Province 20257661the Hunan Furong Distinguished Health Scholar Program 2025-8the National Natural Science Foundation 82272613
6 · The paper itself

Abstract

objectivesIt 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.

methodsThis 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).

resultsDuring 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 (

conclusionsProlonged 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.

Indexed as

Cardiovascular DiseasesLife ExpectancySedentary BehaviorWearable Electronic DevicesAccelerometryAgedExerciseFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk Factorscardiovascular diseaseslife expectancymortalitysedentary behaviorsedentary breakswearable devices

Identifiers

PMID42763296
PMCPMC13589761

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.