ArticleSleep & breathing = Schlaf & Atmung2024
Causal effects of sleep traits on metabolic syndrome and its components: a Mendelian randomization study.
Article in Sleep & breathing = Schlaf & Atmung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Longer napping duration and snoring are associated with increased risk of metabolic syndrome in children and adolescents.Sleep & breathing = Schlaf & Atmung · 2026Article
- Relationship between obstructive sleep apnea and metabolic syndrome based on the NHANES and mendelian randomization study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Observational
- Daytime Napping in Adults: Benefits or Risks? Insights from Mendelian Randomization Studies.Current sleep medicine reports · 2025Article
- Dietary management improves sleep quality in patients with metabolic syndrome: the mediating roles of metabolic, inflammatory, and oxidative stress changes.Frontiers in nutrition · 2025Article
- Napping and Obesity in Adults - What do we Know?Current diabetes reports · 2024Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
purposePrevious observational studies have suggested an association between sleep disturbance and metabolic syndrome (MetS). However, it remains unclear whether this association is causal. This study aims to investigate the causal effects of sleep-related traits on MetS using Mendelian randomization (MR).
methodsSingle-nucleotide polymorphisms strongly associated with daytime napping, insomnia, chronotype, short sleep, and long sleep were selected as genetic instruments from the corresponding genome-wide association studies (GWAS). Summary-level data for MetS were obtained from two independent GWAS datasets. Univariable and multivariable MR analyses were conducted to investigate and verify the causal effects of sleep traits on MetS.
resultsThe univariable MR analysis demonstrated that genetically predicted daytime napping and insomnia were associated with increased risk of MetS in both discovery dataset (OR
conclusionOur study supported daytime napping and insomnia were potential causal factors for MetS characterized by central obesity, hypertension, or elevated triglycerides.
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Registered trials
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