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제2형 당뇨병 환자에서 자가 인식한 치은 출혈 및 구취와 당화혈색소 간의 연관성Association between self-assessed gingival bleeding and halitosis, and glycated hemoglobin levels in patients with diabetes

Other Titles
Association between self-assessed gingival bleeding and halitosis, and glycated hemoglobin levels in patients with diabetes
Authors
최준선
Issue Date
Feb-2020
Publisher
한국치위생학회
Keywords
구취; 당뇨병; 당화혈색소; 치은출혈; 치주질환 증상; Diabetes mellitus; Gingival bleeding; Glycated hemoglobin A; Halitosis; Periodontal symptoms
Citation
한국치위생학회지, v.20, no.1, pp.19 - 27
Journal Title
한국치위생학회지
Volume
20
Number
1
Start Page
19
End Page
27
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/26229
DOI
10.13065/jksdh.20200003
ISSN
2287-1705
Abstract
Objectives: This study aimed to analyze the association between self-assessed periodontal symptoms and glycated hemoglobin levels in patients with type 2 diabetes. Methods: This cross-sectional study involved 156 patients with type 2 diabetes who were aged 50 years or older. Structured questionnaires were used to investigate the self-assessed periodontal symptoms of the patients. The glycated hemoglobin test was performed to evaluate their long-term blood glycemic control. Chi-square test and logistic multiple regression were performed to analyze the factors associated with glycated hemoglobin levels. Results: Compared with patients aged 65 years and above, more patients aged 64 years and below showed poor glycemic control (p=0.020). Further, compared with patients without self-perceived gingival bleeding and halitosis, more patients with these two conditions showed poor glycemic control (p<0.05). Compared with the group of patients without any periodontal symptoms, the group of patients that had at least one periodontal symptom had a higher proportion of patients with poor glycemic control (p<0.001). In the logistic regression model, gingival bleeding and halitosis were the factors most associated with hyperglycemia (p<0.05). Conclusions: The results of our study suggest that gingival bleeding and halitosis can predict hyperglycemia in patients with type 2 diabetes.
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