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Correlations between the properties of saliva and metabolic syndrome: A prospective observational study.

Authors :
Suzuki D
Yamada SI
Sakurai A
Karasawa I
Kondo E
Sakai H
Tanaka H
Shimane T
Kurita H
Source :
Medicine [Medicine (Baltimore)] 2020 Dec 18; Vol. 99 (51), pp. e23688.
Publication Year :
2020

Abstract

Abstract: Saliva tests, which are easy to perform and non-invasive, can be used to monitor both oral disease (especially periodontal disease) and physical conditions, including metabolic syndrome (MetS). Therefore, in the present study the associations between saliva test results and MetS were investigated based on medical health check-up data for a large population. In total, 1,888 and 2,296 individuals underwent medical check-ups for MetS and simultaneous saliva tests in 2017 and 2018, respectively. In the saliva tests, the buffer capacity of saliva, salivary pH, the salivary white blood cell count, the number of cariogenic bacteria in saliva, salivary occult blood, protein, and ammonia levels were tested using a commercially available kit. The relationships between the results of the saliva tests and MetS components were examined in cross-sectional and longitudinal multivariate analyses. Significant relationships were detected between salivary protein levels and serum HbA1c levels or blood pressure levels and between the buffer capacity of saliva and serum triglyceride levels. In addition, salivary pH was increased irreversibly by impaired renal function. This study suggested that saliva tests conducted during health check-ups of large populations might be a useful screening tool for periodontal disease and MetS/MetS components.<br />Competing Interests: The authors declare that they have no conflicts of interest.<br /> (Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc.)

Details

Language :
English
ISSN :
1536-5964
Volume :
99
Issue :
51
Database :
MEDLINE
Journal :
Medicine
Publication Type :
Academic Journal
Accession number :
33371111
Full Text :
https://doi.org/10.1097/MD.0000000000023688