Evidence map›Paper›PMID 40165316›Full record

ArticleThe international journal of behavioral nutrition and physical activity2025

Accelerometer-derived physical activity patterns and incident type 2 diabetes: a prospective cohort study.

Dan-Qing Liao, Hao-Jie Chen, Hong-Min Li, Jian Gao, Xu-Lian Tang, Li-Ying Du, Shu-Min Lai, Wen-Fang Zhong, Hong-Xuan Huang, Zhi-Yuan Xiong and 9 more

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Article in The international journal of behavioral nutrition and physical activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–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

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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

6 citing papers in PubMed.

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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

19 authors.

Dan-Qing Liao *Department of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Hao-Jie Chen *Department of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Hong-Min LiDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Jian GaoDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Xu-Lian TangDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Li-Ying DuDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Shu-Min LaiDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Wen-Fang ZhongDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Hong-Xuan HuangDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Zhi-Yuan XiongDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Pei-Liang ChenDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Ling KuangDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Bing-Yun ZhangDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Jin YangDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Qing-Mei HuangDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Dan LiuDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China.
Pei-Dong ZhangDepartment of Neurosurgery, Institute of Brain Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Chen MaoDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China. maochen9@smu.edu.cn.
Zhi-Hao LiDepartment of Epidemiology, School of Public Health, Southern Medical University, No.1023-1063, South Shatai Road, Guangzhou, 510515, Guangdong, China. zhihaoli2013@smu.edu.cn.

Funding

Zhi-Hao Li 82204115;SKXRC202408;2024A04J4571
6 · The paper itself

Abstract

backgroundEmerging evidence suggests a significant relationship between the duration of physical activity (PA) and the incidence of type 2 diabetes (T2D). However, the association between the "weekend warrior" (WW) pattern-characterized by concentrated moderate-to-vigorous PA (MVPA) over one to two days-and T2D remains unclear.

methodsThis prospective cohort study aims to utilize device-measured PA data to investigate the associations between PA patterns and T2D. Individuals were divided into three MVPA patterns on the basis of WHO guidelines: inactive (< 150 min), active WW (≥ 150 min with ≥ 50% of total MVPA achieved in one to two days), and active regular (≥ 150 min but not active WW). These patterns were also evaluated using sample percentile thresholds. The relationships between PA patterns and the risk of T2D were analysed employing Cox proportional hazards models.

resultsA total of 1972 participants developed T2D over a 7.9-year median follow-up period. In the fully adjusted model, both active patterns demonstrated comparable reductions in the risk of developing T2D (active WW: hazard ratio [HR] 0.64, 95% confidence interval [CI] 0.58-0.71; active regular: 0.56, 0.49-0.64). Moreover, the risk of T2D exhibited a progressive decline as the duration of MVPA increased across both active patterns.

conclusionsEngaging in MVPA for one or two days per week provides comparable protective benefits against the incidence of T2D as more evenly distributed PA. Additionally, exceeding the current guidelines may confer even greater advantages.

Indexed as

AccelerometryDiabetes Mellitus, Type 2ExerciseAdultAgedFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsTime FactorsAccelerometerPhysical activity patternProspective studyType 2 diabetesWeekend warrior

Identifiers

PMID40165316
PMCPMC11956271

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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.