Selvaraj Siddharthan, Naing Nyi Nyi, Wan-Arfah Nadiah, Djearamane Sinouvassane, Wong Ling Shing, Subramaniyan Vetriselvan, Fuloria Neeraj Kumar, Sekar Mahendran, Fuloria Shivkanya, de Abreu Mauro Henrique Nogueira Guimarães
Faculty of Medicine, Medical Campus, Universiti Sultan Zainal Abidin, Kuala Terengganu, Terengganu, 20400, Malaysia.
Faculty of Dentistry, AIMST University, Bedong, Kedah, 08100, Malaysia.
J Multidiscip Healthc. 2022 Jul 20;15:1547-1557. doi: 10.2147/JMDH.S374480. eCollection 2022.
Oral conditions exist worldwide, and are related with astounding morbidity. Indian adults' incidence of mild and moderate periodontal conditions was nearly 25%, while about 19% of adults experience severe periodontitis.
The aim of this study was to analyse epidemiological factors of periodontal disease among a south Indian population based on the role of sociodemographic factors, habitual factors and set of oral health knowledge, attitude, and behaviour measures.
A sample of 288 participants above 18 years of age residing in Tamil Nadu, India took part in this cross-sectional study. Based on WHO criteria, periodontal disease was measured in our study. Age, ethnicity, smoking, education, and oral health behavior were found to be the covariates. Ordinal logistic regression analysis using R version 3.6.1 was utilized to study the various factors that influence periodontal disease among south Indian adults.
Various demographic factors such as age between 25 and 34 years (AOR = 2.25; 95% CI 1.14-4.55), 35-44 years (AOR = 1.80; 95% CI 0.89-3.64), ≥ 45 years old (AOR = 2.89; 95% CI 1.41-6.01), ethnicity (AOR = 2.71; 95% CI 1.25-5.81), smoking (AOR = 0.38; 95% CI 0.16-0.65), primary level education (AOR = 0.07; 95% CI 0.01-0.50) high school level education (AOR = 0.06; 95% CI 0.01-0.27), university level education (AOR = 0.08; 95% CI 0.01-0.36) and an individual's oral health behavior (AOR = 0.59; 95% CI 0.32-1.08) were found to be related with periodontal disease among the south Indian population. The maximum log likelihood residual deviance value was 645.94 in the final model.
Based on our epidemiological findings, sociodemographic, habitual factors and oral health behavior play a vital role in an individual's periodontal status among south Indian adults. An epidemiological model derived from the factors from our study will help to bring better understanding of the disease and to implement various preventive strategies to eliminate the causative factors.
口腔疾病在全球范围内存在,且发病率惊人。印度成年人中轻度和中度牙周疾病的发病率接近25%,而约19%的成年人患有重度牙周炎。
本研究旨在基于社会人口学因素、习惯因素以及一系列口腔健康知识、态度和行为指标,分析印度南部人群中牙周疾病的流行病学因素。
居住在印度泰米尔纳德邦的288名18岁以上参与者的样本参与了这项横断面研究。在我们的研究中,根据世界卫生组织标准对牙周疾病进行测量。发现年龄、种族、吸烟、教育程度和口腔健康行为为协变量。使用R 3.6.1版本进行有序逻辑回归分析,以研究影响印度南部成年人牙周疾病的各种因素。
发现各种人口学因素,如25至34岁(比值比=2.25;95%置信区间1.14 - 4.55)、35至44岁(比值比=1.80;95%置信区间0.89 - 3.64)、≥45岁(比值比=2.89;95%置信区间1.41 - 6.01)、种族(比值比=2.71;95%置信区间1.25 - 5.8I)、吸烟(比值比=0.38;95%置信区间0.16 - 0.65)、小学教育程度(比值比=0.07;95%置信区间0.01 - 0.50)、高中教育程度(比值比=0.06;95%置信区间0.01 - 0.27)、大学教育程度(比值比=0.08;95%置信区间0.01 - 0.36)以及个人的口腔健康行为(比值比=0.59;95%置信区间0.32 - 1.08)与印度南部人群的牙周疾病有关。最终模型中的最大对数似然残差偏差值为645.94。
基于我们的流行病学研究结果,社会人口学、习惯因素和口腔健康行为在印度南部成年人的个人牙周状况中起着至关重要的作用。从我们研究的因素中得出的流行病学模型将有助于更好地理解该疾病,并实施各种预防策略以消除致病因素。