Evidence mapPaperPMID 40171979Full record

ArticleJournal of the American Heart Association2025

Association of Accelerometer-Derived Physical Activity Pattern With the Risks of All-Cause, Cardiovascular Disease, and Cancer Death.

Dan-Qing Liao, Hong-Min Li, Hao-Jie Chen, Shu-Min Lai, Xu-Lian Tang, Cheng-Shen Qiu, Li-Ying Du, Hong-Xuan Huang, Zhi-Yuan Xiong, Ling Kuang and 10 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Third Year in Review, Fourth Year in Preview, and the 2025Journal of the American Heart Association · 2026
    Article
  4. Review
  5. Article
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

20 authors.

Dan-Qing LiaoDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.
Hong-Min LiDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.ORCID 0009-0009-3306-6608
Hao-Jie ChenDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.ORCID 0009-0002-2875-0068
Shu-Min LaiDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.
Xu-Lian TangDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.
Cheng-Shen QiuDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.
Li-Ying DuDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.ORCID 0009-0001-0826-6968
Hong-Xuan HuangDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.ORCID 0009-0004-2666-6561
Zhi-Yuan XiongDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.ORCID 0009-0005-7660-2846
Ling KuangDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.
Bing-Yun ZhangDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.
Pei-Dong ZhangDepartment of Neurosurgery, Institute of Brain Diseases, Nanfang Hospital Southern Medical University Guangzhou Guangdong China.
Jian GaoDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.
Wen-Fang ZhongDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.
Pei-Liang ChenDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.
Dan LiuDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.ORCID 0009-0004-6245-6027
Jin YangDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.
Qing-Mei HuangDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.ORCID 0000-0002-4404-9418
Chen MaoDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.ORCID 0000-0002-6537-6215
Zhi-Hao LiDepartment of Epidemiology, School of Public Health Southern Medical University Guangzhou Guangdong China.ORCID 0000-0002-1597-2676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent guidelines suggest engaging in a minimum of 150 minutes of moderate to vigorous physical activity (MVPA) each week to support overall health. However, the effect of concentrated versus evenly distributed physical activity (PA) on health outcomes remains uncertain. This study aims to investigate the associations of "weekend warrior" pattern, where most MVPA is completed in 1 to 2 days, and a more evenly spread MVPA pattern with mortality risk.

methodsData from the UK Biobank were used, with participants having a full week of device-measured PA data from 2013 to 2015. Three MVPA patterns were defined: inactive, active weekend warrior, and active regular. The relationships between PA patterns and mortality risk were investigated using the Cox proportional hazards model.

resultsDuring an 8.1-year median follow-up, 3965 adults died from all causes, including 667 from cardiovascular disease and 1780 from cancer. Both the active weekend warrior group (all-cause death: hazard ratio [HR], 0.68 [95% CI, 0.64-0.74]; cardiovascular disease death: HR, 0.69 [95% CI, 0.58-0.83]; cancer death: HR, 0.79 [95% CI, 0.71-0.89]) and the active regular group (all-cause death: HR, 0.74 [95% CI, 0.68-0.81]; cardiovascular disease death: HR, 0.76 [95% CI, 0.61-0.94]; cancer death: HR, 0.87 [95% CI, 0.76-0.99]) demonstrated a lower mortality risk compared with the inactive group after following the recommended 150 minutes of MVPA per week. Furthermore, there was no discernible difference in the mortality risk between the active regular group and the active weekend warrior group.

conclusionsEngaging in PA concentrated within 1 to 2 days was related with a similar reduction in mortality risk as more evenly spread activity. Our findings are particularly significant for individuals who find it challenging to engage in regular PA due to time constraints.

Indexed as

AccelerometryCardiovascular DiseasesExerciseNeoplasmsAdultAgedCause of DeathFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsTime FactorsUnited Kingdomaccelerometerdeathphysical activity patternprospective studyweekend warrior

Identifiers

PMID40171979
PMCPMC12132846

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.