Association between dental scaling and metabolic syndrome and lifestyle

• Published in: PloS one Vol. 19; no. 4; p. e0297545
• Main Authors: Lee, TaeYeon, Han, Kyungdo, Yun, Kyoung-In
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 04.04.2024; Public Library of Science (PLoS)
• Subjects: Adult; Analysis; Blood sugar; Body Mass Index; Care and treatment; Cholesterol, HDL; Dental prophylaxis; Dental Scaling; Development and progression; Diabetes Mellitus - epidemiology; Diabetes therapy; Diabetics; Humans; Hypertension; Hypertension - complications; Life Style; Medical research; Medicine and Health Sciences; Medicine, Experimental; Metabolic Syndrome; Metabolic syndrome X; Methods; National health insurance; Periodontal disease; Risk Factors; Trade and professional associations; Type 2 diabetes; South Korea
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0297545

Periodontal disease is a risk factor for diabetes and metabolic syndrome, and non-surgical periodontal treatment has been shown to help maintain stable blood sugar in diabetic patients. Determining the level of preventive scaling in patients with metabolic syndrome will help manage the disease. The purpose of this study was to investigate the extent to which people with metabolic syndrome or bad lifestyle performed scaling and the association between preventive scaling and metabolic syndrome or lifestyle in a large population. This study was conducted on adults aged 20 years or older from January 2014 to December 2017 in the National Health Insurance System (NHIS) database. Among 558,067 people who underwent health checkups, 555,929 people were included. A total of 543,791 people were investigated for preventive scaling. Metabolic syndrome components were abdominal obesity, lower high density lipoprotein cholesterol (HDL)-C, high triglycerides, high blood pressure and hyperglycemia. Unhealthy lifestyle score was calculated by assigning 1 point each for current smokers, drinkers, and no performing regular exercise. When multiple logistic regression analysis was performed after adjusting for age, sex, income, body mass index (BMI), smoking, drinking and regular exercise, the Odds ratios (OR) and 95% confidence intervals (CI) of the group with 5 metabolic syndrome components were 0.741 (0.710, 0.773) (p<0.0001). After adjustment for age, sex, income, BMI, smoking, drinking, regular exercise, diabetes, hypertension and dyslipidemia, the OR (95% CI) of the group with unhealthy lifestyle score = 3 was 0.612 (0.586, 0.640) (p<0.0001). The more metabolic syndrome components, and the higher unhealthy lifestyle score, the less scaling was performed.