1. The association between insomnia and the risk of metabolic syndrome: A systematic review and meta-analysis
- Author
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Juan Liu, Yazhen Liu, Yuanfeng Zhang, Xiaojiang Jiang, and Ying Lang
- Subjects
medicine.medical_specialty ,03 medical and health sciences ,0302 clinical medicine ,Sleep Initiation and Maintenance Disorders ,Physiology (medical) ,Internal medicine ,Hyperlipidemia ,medicine ,Humans ,Metabolic Syndrome ,Sleep disorder ,business.industry ,General Medicine ,Odds ratio ,medicine.disease ,Obesity ,Confidence interval ,Neurology ,Hyperglycemia ,030220 oncology & carcinogenesis ,Meta-analysis ,Hypertension ,Surgery ,Observational study ,Neurology (clinical) ,Metabolic syndrome ,business ,030217 neurology & neurosurgery - Abstract
Objective The purpose of this study was to perform a systematic review and meta-analysis on the association between insomnia and the risk of developing into metabolic syndrome (including hypertension, hyperglycemia, hyperlipidemia and obesity). Method We conducted our research according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta Analyses). After the search term was determined, we searched Pubmed and Embase databases until December 1, 2020 for the observational studies. We used random effects models to aggregate risk estimates for individual studies and the odds ratio (OR) as well as 95% confidence intervals (CI) were calculated for pooled data. Heterogeneity in this study was assessed by using I2 statistic. Results 12 studies were eventually included in this meta-analysis which contained metabolic syndrome related symptoms (hypertension, hyperglycemia, hyperlipidemia and obesity). The combined OR value and 95% CI of the hypertension group was 1.41 (1.19–1.67). The hyperglycemia group was 1.29 (1.11–1.50). The hyperlipidemia group was 1.12 (0.92–1.37) and the obesity group was 1.31 (1.03–1.67). Conclusion The risk of insomnia patients suffering from hypertension, hyperglycemia, hyperlipidemia and obesity in metabolic syndrome was 1.41 times, 1.29 times and 1.31 times than people without insomnia respectively.
- Published
- 2021
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