Evidence map›Paper›PMID 38347339›Full record

ArticleEndocrine2024

Screen time in the development of type 2 diabetes mellitus (T2DM) : a two-sample Mendelian randomization study.

Zhengqi Qiu, Xueyuan Jia, Yufei Li, Yancheng Fu, Ying Xiao

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Article in Endocrine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Zhengqi QiuFaculty of Medicine, Macau University of Science and Technology, Est. Seak Pai Van Praia Park, Rés-Do-Chão R, Coloane, Macao, 999078, China.
Xueyuan JiaFaculty of Medicine, Macau University of Science and Technology, Est. Seak Pai Van Praia Park, Rés-Do-Chão R, Coloane, Macao, 999078, China.
Yufei LiFaculty of Medicine, Macau University of Science and Technology, Est. Seak Pai Van Praia Park, Rés-Do-Chão R, Coloane, Macao, 999078, China.
Yancheng FuDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Health Science Center, Shenzhen University, Shenzhen, 518060, China.
Ying XiaoFaculty of Medicine, Macau University of Science and Technology, Est. Seak Pai Van Praia Park, Rés-Do-Chão R, Coloane, Macao, 999078, China. yxiao@must.edu.mo.ORCID 0000-0001-5178-1706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to investigate the potential causal relationship between screen time and the risk of developing type 2 diabetes mellitus (T2DM) using Mendelian randomization.

methodsTwo-sample Mendelian randomization was conducted, utilizing genetic variants associated with different types of screen time as instrumental variables. Single nucleotide polymorphisms (SNPs) were used to assess the primary outcome, which was the risk of developing T2DM.

resultsThe analysis revealed a significant positive causal association between television viewing time and the risk of T2DM. Specifically, excessive television viewing time was found to increase the risk of developing T2DM (OR: 2.39, 95% CI: 1.90 to 3.00, P < 0.01). However, no significant causal relationship was observed between computer usage time and the risk of T2DM. Additionally, mobile phone use time showed a positive correlation with the risk of T2DM (OR: 1.31, 95% CI: 1.04 to 1.64, P = 0.02), albeit to a lesser extent than television viewing time.

conclusionThe findings of this study indicate a significant causal association between certain types of screen time, specifically television viewing and mobile phone use, and an increased risk of T2DM.

Indexed as

Diabetes Mellitus, Type 2Mendelian Randomization AnalysisPolymorphism, Single NucleotideScreen TimeCell PhoneGenetic Predisposition to DiseaseHumansRisk FactorsTelevisionCausal inferenceGenome-wide association studyMendelian randomizationScreen timeType 2 diabetes mellitus (T2DM)

Identifiers

PMID38347339

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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.