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. 2023 Jan 20;54(1):97–101. [Article in Chinese] doi: 10.12182/20230160510

表 4. Multivariate logistic regression analysis of the effect of systemic variables on dentition defect.

全身因素变量对牙列缺损的多因素逻辑回归分析

Characteristic OR 95% CI P
 After adjusting for sex, age, BMI, smoking, hypertesion and other factors, a binary logistic regression model was established (assignment: Group A=0, Group B=1). OR: odds ratio; CI: confidence interval; HbA1c: glycosylated hemoglobin; SBP: systolic blood pressure; BMI: body mass index.
Sex 0.63 0.19-2.16 0.5
Age 1.14 1.08-1.21 <0.001
Smoking 1.26 0.37-4.20 0.7
Hypertension 1.25 0.48-3.36 0.7

Frequency of tooth brushing≥2 times per day

0.82 0.51-1.32 0.4
HbA1c 1.61 1.22-2.20 0.001
SBP 1.03 1.01-1.06 0.015
BMI 0.94 0.83-1.05 0.3