Evidence map›Paper›PMID 42046344›Full record

ArticleJournal of diabetes investigation2026

Causal effects of lifestyle and socioeconomic factors on diabetes and its complications and comorbidities: A Mendelian randomization study.

Qian Yu, Zhaowei Kong, Qingde Shi, Chak Kwong Cheng, Jia Zhang, Jinlei Nie

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2026. 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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0citing papers 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

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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

6 authors.

Qian YuFaculty of Education, University of Macau, Macao, China.ORCID https://orcid.org/0000-0001-8882-1994
Zhaowei KongFaculty of Education, University of Macau, Macao, China.ORCID https://orcid.org/0000-0002-9999-1312
Qingde ShiFaculty of Health Sciences and Sports, Macao Polytechnic University, Macao, China.ORCID https://orcid.org/0000-0002-3959-4526
Chak Kwong ChengDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0002-8969-6029
Jia ZhangDepartment of Epidemiology, Unit of Genetic Epidemiology and Bioinformatics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0001-9982-9983
Jinlei NieFaculty of Health Sciences and Sports, Macao Polytechnic University, Macao, China.ORCID https://orcid.org/0000-0003-2326-3615

Funding

the Science and Technology Development Fund (FDCT) of Macau 0011/2021/ITP
6 · The paper itself

Abstract

aimsDiabetes poses a growing global health burden. This study investigated the causal effects of lifestyle and socioeconomic factors on diabetes risk and related complications and comorbidities. MATERIALS AND

methodsWe applied two-sample univariable and multivariable Mendelian randomization to assess the causal impact of 26 lifestyle and socioeconomic factors on diabetes, 7 complications, and 13 comorbidities.

resultsGenetically predicted protective factors included vigorous physical activity (odds ratio [OR], 0.98 [0.98-0.99]), computer use time (OR, 0.13 [0.05, 0.30]), carbohydrate intake (OR, 0.22 [0.15, 0.34]), short (OR, 0.04 [0.01, 0.16]) and long sleep duration (OR, 0.62 [0.47, 0.82]), moderate alcohol (OR, 0.13 [0.04, 0.50]) and caffeine (OR, 0.72 [0.64, 0.81]) consumption, education (OR, 0.25-0.67), and household income (OR, 0.52-0.65), which were associated with reduced risks of type 2 and gestational diabetes, stroke, coronary heart disease, heart failure, myocardial infarction, sleep apnea, and anxiety disorder (adjusted P-values <0.05). Conversely, genetically predicted factors, such as television watching (OR, 1.39 [1.23, 1.57]) and driving time (OR, 3.28 [1.27, 8.48]), insomnia (OR, 1.21-1.82), smoking behaviors (OR, 1.17-1.77), alcohol dependence (OR, 1.17-1.28), coffee consumption (OR, 1.01 [1.00, 1.02]), and the Townsend deprivation index (OR, 1.51-1.57), are associated with increased risks of diabetes-related outcomes (i.e., all diabetic types, neovascular glaucoma, heart failure, nonalcoholic fatty liver disease, sleep apnea, and eating disorder) (adjusted P-values <0.05).

conclusionsOur findings support causal roles of lifestyle and socioeconomic factors and diabetes-related outcomes, emphasizing the need for targeted public health strategies to promote healthier living and socioeconomic equity.

Indexed as

Diabetes ComplicationsDiabetes MellitusDiabetes Mellitus, Type 2Life StyleMendelian Randomization AnalysisSocioeconomic FactorsComorbidityFemaleHumansRisk FactorsDiabetesLifestyle factorsSocioeconomic status

Identifiers

PMID42046344
PMCPMC13327334

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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.