Key result
Self-reported snoring linked to ~61% greater metabolic syndrome risk in a dose-response pattern.
Why the study?
Previous studies reported inconsistent conclusions regarding the relationships between snoring and metabolic syndrome or its five components, and no comprehensive summary existed.
Does self-reported snoring increase the risk of metabolic syndrome and its components in adults?
Meta-Analysis (n=966,652)
Does self-reported snoring increase the risk of metabolic syndrome and its components in adults?
Effect estimate: OR 1.61 (95% CI 1.43-1.78)
p-value: p=<0.001
Self-reported snoring is significantly associated with an increased risk of metabolic syndrome and its components in a dose-response manner, highlighting its potential as a clinical marker for metabolic risk.
Supports snoring assessment as a metabolic risk marker; leaves open causality and intervention effects pending prospective trials.
Background: Snoring is a common condition. Previous studies have reported the relationships between snoring and metabolic syndrome (MetS) and/or its five components: hypertension, hyperglycemia, low-high density lipoprotein (low-HDL), high-triglyceride level, and abdominal obesity. However, conclusions have been inconsistent and there has been no comprehensive summary on this. Therefore, we performed a systematic review on the relationships between snoring and MetS, including each of MetS’ components. Methods: A systematic review and meta-analysis were conducted following the Meta-analysis of Observational Studies in Epidemiology group (MOOSE) and Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Electronic databases including PubMed, Embase and the Cochrane Library were searched for publications from inception to 15 July 2020. The inverse-variance weighted method was used in the meta-analysis to calculate the pooled odds ratios (ORs) and their 95% confidence intervals (CIs) to determine the association between snoring and MetS (and its components) through a fixed or random effect model. A restricted cubic spline regression model and the linear regression model were used in a two-stage dose-response meta-analysis to evaluate the non-linear and linear trends between snoring frequency and MetS and its components. Results: A total of 40 studies with 966,652 participants were included in this study. The pooled ORs between snoring and MetS and its components, hypertension, hyperglycemia, low-HDL, high-triglyceride level, and abdominal obesity, were 1.61 (95% CI, 1.43-1.78); 1.23 (95% CI, 1.15-1.31); 1.05 (95% CI, 1.04-1.07); 1.09 (95% CI, 1.00-1.18); 1.08 (95% CI, 1.00-1.17) and 1.75 (95% CI, 1.46-2.05), respectively. Non-linear trends were detected in the six associations except for low-HDL. A linear trend was detected in the association of snoring with hypertension, hyperglycemia, low-HDL or abdominal obesity, with ORs of 1.07 (95% CI, 1.01-1.13); 1.05 (95% CI, 1.02-1.08); 1.03 (95% CI, 1.02-1.04); 1.17 (95% CI, 1.16-2.89), respectively. Conclusion: Snoring was a risk factor of MetS, and a dose-response relationship existed between the two. Timely intervention in identifying snorers can minimize as much as possible the risk of metabolic syndrome in those who snore.
No takes yet. Share an insight, caveat, or question.
Ma et al. (2020) conducted a meta-analysis in Metabolic Syndrome (n=966,652). Self-reported snoring vs. Non-snorers was evaluated on Metabolic syndrome (OR 1.61, 95% CI 1.43-1.78, p=<0.001). Self-reported snoring was significantly associated with an increased risk of metabolic syndrome (OR 1.61) compared to non-snorers, demonstrating a dose-response relationship.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: