Premium
Association of short sleep with risk of periodontal disease: A meta‐analysis and Mendelian randomization study
Author(s) -
Zhou Feixiang,
Liu Zongyan,
Guo Yicong,
Xu Huilan
Publication year - 2021
Publication title -
journal of clinical periodontology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.456
H-Index - 151
eISSN - 1600-051X
pISSN - 0303-6979
DOI - 10.1111/jcpe.13483
Subject(s) - mendelian randomization , medicine , meta analysis , odds ratio , confidence interval , periodontitis , tooth loss , sleep (system call) , disease , sleep bruxism , dentistry , genotype , psychiatry , oral health , gene , electromyography , biochemistry , chemistry , genetic variants , computer science , operating system
Aim The aim of this meta‐analysis and Mendelian randomization (MR) study was to assess the association between short sleep and periodontal disease, including tooth loss and periodontitis. Materials and Methods The meta‐analysis of relevant studies was conducted to assess the association between short sleep and periodontal disease. MR analyses were conducted with the inverse‐variance‐weighted (IVW) method, weighted median method, MR‐Egger method, and MR‐Robust Adjusted Profile Score (RAPS) method to assess the causal effect of short sleep on tooth loss and periodontitis. Results Seven cross‐sectional studies involving 40,196 individuals were included in the meta‐analysis. The association between short sleep and periodontal disease was not statistically significant (odds ratios (OR) =1.13, 95% confidence interval (CI): 0.99, 1.28; p = 0.076). In the MR analysis, we did not observe statistically significant causal associations of genetically determined short sleep with tooth loss ( β : −0.056; 95% CI: −0.181 to 0.068; p = 0.376) and periodontitis ( β : −0.112; 95% CI: −0.340 to 0.117; p = 0.339). Conclusions Short sleep is not associated with the risk of periodontal disease according to current evidence. Future studies need to pay attention to the measurement of sleep duration, the choice of statistical models, and other domains of sleep health.