Evidence mapPaperPMID 41201595Full record

ArticleJournal of sport and health science2025

Associations of accelerometer-measured light-intensity physical activity with mortality and incidence of cardiovascular diseases and cancers: A prospective cohort study.

Jiahong Sun, Yanan Qiao, Fei Li, Ruilang Lin, Yongfu Yu, Mingming Wang, Min Zhao, Bo Xi

Abstract read
In one paragraph

Article in Journal of sport and health science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Review
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.

Jiahong SunDepartment of Preventive Medicine, The First Dongguan Affiliated Hospital, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Yanan QiaoDepartment of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Fei LiDepartment of Childcare and Wellness, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan 523710, China.
Ruilang LinDepartment of Biostatistics, Key Laboratory of Public Health Safety of Ministry of Education, National Health Commission Key Laboratory for Health Technology Assessment, School of Public Health, Fudan University, Shanghai 200032, China.
Yongfu YuDepartment of Biostatistics, Key Laboratory of Public Health Safety of Ministry of Education, National Health Commission Key Laboratory for Health Technology Assessment, School of Public Health, Fudan University, Shanghai 200032, China.
Mingming WangInstitute of Epidemiology, Helmholtz Zentrum München‒German Research Center for Environmental Health, Neuherberg 85764, Germany; Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Ludwig Maximilian University of Munich (LMU Munich), Pettenkofer School of Public Health, Munich 80539, Germany.
Min ZhaoDepartment of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China. Electronic address: zhaomin1986zm@126.com.
Bo XiDepartment of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, China. Electronic address: xibo2007@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough light-intensity physical activity (LPA) has been suggested to be associated with a lower risk of mortality, the minimal and optimal volumes of LPA remain unclear. We aimed to examine the minimal and optimal volumes of LPA associated with the risks of mortality and disease incidence (i.e., cardiovascular diseases and cancer).

methodsData were derived from the population-based UK Biobank cohort study, including 69,492 adults aged 43-78 years. Accelerometer-measured LPA was defined using a validated, published machine learning-based Random Forest activity method, which was categorized into 4 quartile groups. All-cause and cause-specific mortality (cardiovascular disease- and cancer-specific) were determined according to the International Classification of Diseases, 10th version codes. Disease incidence was defined based on primary care, hospitalization, or death records.

resultsDuring a median follow-up period of 8.04 years, 2024 adults died from all causes, 539 from cardiovascular disease, and 1175 from cancer. For all-cause mortality, compared with participants in the lowest quartile of LPA (<3.9 h/day), the hazard ratios (HRs) and 95% confidence intervals (95%CIs) were 0.82 (95%CI: 0.73‒0.93) for those with 3.9 to <5.0 h/day, 0.75 (95%CI: 0.66‒0.85) for those with 5.0 to <6.1 h/day, and 0.77 (95%CI: 0.68‒0.88) for those with ≥6.1 h/day, respectively. There was an inverse non-linear dose-response association between LPA and all-cause mortality, with an optimal dose of 5.72 h/day (95%CI: 5.45‒6.41; HR = 0.63, 95%CI: 0.56‒0.71) and a minimal dose of 3.59 h/day (95%CI: 3.53-8.56; HR = 0.81, 95%CI: 0.78‒0.86), with the 5th percentile as the reference. Similar patterns were observed for cause-specific mortality and disease incidence (cardiovascular disease and cancer).

conclusionEngaging in LPA for ∼3.5 h/day was conservatively associated with lower risk of mortality and disease incidence, with further risk reductions observed up to an optimal dose of ∼6.0 h/day. These findings suggest that sufficient LPA offers important health benefits, which can inform the development of future PA guidelines.

Indexed as

CancerCardiovascular diseaseLight-intensity physical activityMortality

Identifiers

PMID41201595
PMCPMC12887192

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.