Evidence map›Paper›PMID 37415875›Full record

ArticleJournal of the Endocrine Society2023

Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis.

Shuai Yuan, Xue Li, Qianwen Liu, Zhe Wang, Xia Jiang, Stephen Burgess, Susanna C Larsson

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
10.6field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
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  6. Assessing the causal impact of leisure-time physical activity and screen time on lifespan: a Mendelian randomization study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
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  9. Observational
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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 5 institutions in 4 countries.

Shuai YuanUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, 17165, Sweden.ORCID https://orcid.org/0000-0001-5055-5627
Xue LiSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China.
Qianwen LiuDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 17165, Sweden.
Zhe WangIcahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY 10029, USA.
Xia JiangDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 17165, Sweden.ORCID https://orcid.org/0000-0001-5878-8986
Stephen BurgessMRC Biostatistics Unit, University of Cambridge, Cambridge CB2 1TN, UK.ORCID https://orcid.org/0000-0001-5365-8760
Susanna C LarssonUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, 17165, Sweden.
Karolinska Institutet · SEIcahn School of Medicine at Mount Sinai · USSecond Affiliated Hospital of Zhejiang University · CNUniversity of Cambridge · GBUppsala University · SE

Funding

Medical Research Council MC_UU_00002/7Wellcome Trust 204623/Z/16/Z
6 · The paper itself

Abstract

Context: The causality and pathways of the associations between physical activity and inactivity and the risk of type 2 diabetes remain inconclusive. Objective: We conducted an updated mendelian randomization (MR) study to explore the associations of moderate-to-vigorous physical activity (MVPA) and leisure screen time (LST) with type 2 diabetes mellitus (T2DM). Methods: Genetic variants strongly associated with MVPA or LST with low linkage disequilibrium were selected as instrumental variables from a genome-wide meta-analysis including more than 600 000 individuals. Summary-level data on T2DM were obtained from the DIAbetes Genetics Replication And Meta-analysis consortium including 898 130 individuals. Data on possible intermediates (adiposity indicators, lean mass, glycemic traits, and inflammatory biomarkers) were extracted from large-scale genome-wide association studies (n = 21 758-681 275). Univariable and multivariable MR analyses were performed to estimate the total and direct effects of MVPA and LST on T2DM. Methylation MR analysis was performed for MVPA in relation to diabetes. Results: The odds ratio of T2DM was 0.70 (95% CI, 0.55-0.88; Conclusion: The study suggests causal associations of MVPA and LST with T2DM that appear to be mediated by obesity, lean mass, and chronic low-grade inflammation.

Indexed as

inflammationmendelian randomizationobesityphysical activitysedentary behaviortype 2 diabetes

Identifiers

PMID37415875
PMCPMC10321115
OpenAlexW4382137204

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.