Faculty of Medicine, Medical Campus, Universiti Sultan Zainal Abidin, Kuala Terengganu, Terengganu 20400, Malaysia.
Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Terengganu, Terengganu 20400, Malaysia.
Int J Environ Res Public Health. 2021 Jul 26;18(15):7910. doi: 10.3390/ijerph18157910.
The aim of this study was to evaluate the performance of a set of sociodemographic and habits measures on estimating periodontal disease among south Indian adults. This cross-sectional study was carried out among 288 individuals above 18 years old in Tamil Nadu, India. The outcome of the study was periodontal disease, measured by WHO criteria. The covariates were age, ethnicity, smoking and alcohol habit. The assessment of factors predicting periodontal disease was carried out by multiple logistic regression analysis using R version 3.6.1. The demographic factors like age group (AOR = 3.56; 95% CI 1.69-7.85), ethnicity (AOR = 6.07; 95% CI 2.27-18.37), non-alcoholic (AOR = 0.31; 95% CI 0.13-0.64) and non-smoking (AOR = 0.33; 95% CI 0.15-0.67) were found to be associated with the outcome. The maximum log likelihood estimate value was -30.5 and AIC was 385 for the final model, respectively. Receiver operating characteristic (ROC) curve for the periodontal disease was 0.737. We can conclude that sociodemographic factors and habits were useful for predicting periodontal diseases.
本研究旨在评估一组社会人口学和习惯因素在评估南印度成年人牙周病中的表现。这是一项在印度泰米尔纳德邦进行的横断面研究，共纳入 288 名 18 岁以上的个体。研究结果为牙周病，采用世界卫生组织（WHO）标准进行测量。协变量为年龄、种族、吸烟和饮酒习惯。采用 R 版本 3.6.1 进行多因素逻辑回归分析，评估预测牙周病的因素。年龄组（AOR = 3.56；95%CI 1.69-7.85）、种族（AOR = 6.07；95%CI 2.27-18.37）、非饮酒（AOR = 0.31；95%CI 0.13-0.64）和非吸烟（AOR = 0.33；95%CI 0.15-0.67）等人口统计学因素与结果相关。最终模型的最大对数似然估计值为-30.5，AIC 为 385。牙周病的受试者工作特征（ROC）曲线为 0.737。我们可以得出结论，社会人口学因素和习惯因素可用于预测牙周病。
