Evidence map›Paper›PMID 38499679›Full record

ArticleScientific reports2024

Association between circadian physical activity trajectories and incident type 2 diabetes in the UK Biobank.

Pufei Bai, Xian Shao, Lianqin Chen, Saijun Zhou, Yao Lin, Hongyan Liu, Pei Yu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Pufei BaiNHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, China.
Xian ShaoNHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, China.
Lianqin ChenNHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, China.
Saijun ZhouNHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, China.
Yao LinNHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, China.
Hongyan LiuNHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, China.
Pei YuNHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, China. yupei@tmu.edu.cn.
Tianjin Medical University · CN

Funding

Key Project of Natural Science Foundation of Tianjin no.22JCZDJC00590Scientific Research Funding of Tianjin Medical University Chu Hsien-I Memorial Hospital ZXY-ZDSYSZD-1Tianjin Key Medical Discipline (Specialty) Construct Project no.TJYXZDXK-032A"Tianjin Medical Talents" project no.TJSJMYXYC-D2-014Tianjin Science and Technology Major Special Project and Engineering Public Health Science and Technology Major Special Project no.21ZXGWSY00100
6 · The paper itself

Abstract

Physical activity (PA) is linked to a decreased risk of type 2 diabetes mellitus (T2DM). However, the influence of circadian PA trajectories remains uncertain. This study aims to explore the optimal circadian PA trajectory pattern for reducing the risk of T2DM. Methods: A total of 502,400 participants were recruited from the UK Biobank between 2006 and 2010, and 102,323 participants provided valid accelerometer-captured acceleration data. After excluding individuals with prior T2DM, 99,532 participants were included in the final analysis. We initially investigated the association between PA intensity at 24 hourly time points and T2DM. Subsequently, PA trajectories were identified using K-means cluster analysis. Cox proportional hazard models were employed to estimate hazard ratios (HR). Four distinct PA trajectories were identified: consistently low, single peak, double peak, and intense trajectories. Compared to consistently low, single peak, double peak and intense PA trajectory reduced the risk of T2DM progressively. Sensitivity analyses, further excluding individuals with glycated hemoglobin (HbA1c) ≥ 6.5% or random glucose ≥ 11.1 mmol/L and adjusted for daily average acceleration, yielded consistent results. This confirms that the ideal circadian PA trajectory serves as a protective factor, independently of PA intensity. Subgroup analyses indicated that these effects were more pronounced in men and individuals with eGFR < 60 mL/(min*1.73 m

Indexed as

Diabetes Mellitus, Type 2Biological Specimen BanksExerciseFemaleGlycated HemoglobinHumansMaleRisk FactorsUK BiobankGlycated Hemoglobin

Identifiers

PMID38499679
PMCPMC10948909
OpenAlexW4392918336

What OpenQuestion holds

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LicenceCC BY
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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.