SynthesisSleep & breathing = Schlaf & Atmung2022
Sleep duration and risk of hyperlipidemia: a systematic review and meta-analysis of prospective studies.
Synthesis in Sleep & breathing = Schlaf & Atmung, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06420817 (Effect of a Customised Lifestyle Medicine Strategy on Lowering Blood Lipid Levels in Indian Physicians), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.
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.
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.
Effect of a Customised Lifestyle Medicine Strategy on Lowering Blood Lipid Levels in Indian Physicians
Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Nighttime sleep duration and the prevalence of hyperuricemia: a systematic review and network meta-analysis.Frontiers in neuroscience · 2025Pooled it
- Sleep Duration and Risk of Periodontitis-A Systematic Review and Meta-Analysis.International dental journal · 2024Pooled it
- Sleep disorders as risk factors for calcific aortic stenosis.American journal of preventive cardiology · 2025Article
- Association between sleep duration and long-term changes in novel anthropometric and atherogenic indices: a cohort study.BMC public health · 2025Article
- Article
- Association of Insomnia, Lipid Profile, and Lipid-Lowering Medications: A Narrative Review.Reviews in cardiovascular medicine · 2025Review
- Short sleep duration is a significant risk factor of obesity: A multicenter observational study of healthy adults in Japan.PloS one · 2025Observational
- Correlation between sleep and multimorbidity in community-dwelling older adults in Hunan Province: a cross-sectional study.Frontiers in public health · 2025Article
- Factors associated with acquiring exercise habits through health guidance for metabolic syndrome among middle-aged Japanese workers: A machine learning approach.Preventive medicine reports · 2024Article
- Sleep duration and food intake in people with type 2 diabetes mellitus and factors affecting confectionery intake.Journal of diabetes investigation · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeCurrent studies indicate that the association between sleep duration and risk of hyperlipidemia is uncertain. This systematic review aimed to evaluate relevant prospective studies and make a definite conclusion.
methodsThree databases were searched for prospective studies on the relationship between sleep duration and hyperlipidemia risk from their inception to October 2020.
resultsWe identified twelve studies involving 114,439 participants. Follow-up for incident hyperlipidemia ranged from 200 days to 10 years. Neither long (RR:1.00, 95%CI:0.90-1.11, P > 0.05) nor short (RR:0.99, 95%CI:0.94-1.05, P > 0.05) sleep duration had a significant association with increased hyperlipidemia risk in adults. However, long sleep duration was decidedly associated with low HDL-C (RR:0.19, 95%CI: - 0.03-0.40, P < 0.05) and high triglycerides (RR: - 0.20, 95%CI: - 0.43-0.03, P < 0.05) in children and adolescents.
conclusionLong sleep duration has strong associations with risks of low HDL-C and high triglycerides in children and adolescents. The mechanisms underlying this association deserves to be explored in future studies.
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Registered trials
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.