Bhat M, Do L G, Roberts-Thomson K
Australian Research Centre for Population Oral Health, School of Dentistry, The University of Adelaide, Adelaide, South Australia, Australia.
Int J Dent Hyg. 2018 Nov;16(4):492-502. doi: 10.1111/idh.12351. Epub 2018 Jun 17.
This study aimed to identify risk indicators associated with periodontitis and the contribution of each of the indicators towards the prevalence, extent and severity of periodontitis in a rural Indian population.
A cross-sectional study design was used to collect data according to National Survey of Adult Oral Health Australia guidelines. A multistage stratified random sampling was followed to select 1401 participants, who were in the age group of 35-54 years. The participants were selected from 50 villages belonging to the 5 sub-provinces of 2 Indian districts. Data were collected through face-to-face interviews and oral examination. Statistical analysis was performed using SAS version 9.3. The univariate, bivariate and multivariate analyses were performed to determine the risk indicators of prevalence, extent and severity of periodontitis. Population attributable fraction was estimated for each of the significant risk indicators of prevalence and extent.
In this study, factors such as age, education, tobacco chewing and plaque accumulation were significantly associated with the prevalence of periodontitis. Age, socioeconomic status, method of tooth cleaning, alcohol consumption and plaque accumulation were significant risk indicators for generalized periodontitis. Age, tobacco chewing and plaque were associated with severity of periodontitis in the population.
The rural population had a high prevalence of periodontitis. Sociodemographic factors, poor oral hygiene, tobacco and alcohol were the main risk indicators attributable to periodontitis.
本研究旨在确定与牙周炎相关的风险指标，以及每个指标对印度农村人口牙周炎患病率、范围和严重程度的影响。
采用横断面研究设计，根据澳大利亚成人口腔健康全国调查指南收集数据。采用多阶段分层随机抽样方法，选取1401名年龄在35 - 54岁之间的参与者。参与者来自印度2个邦5个分区的50个村庄。通过面对面访谈和口腔检查收集数据。使用SAS 9.3版进行统计分析。进行单变量、双变量和多变量分析，以确定牙周炎患病率、范围和严重程度的风险指标。对患病率和范围的每个显著风险指标估计人群归因分数。
在本研究中，年龄、教育程度、嚼烟和牙菌斑堆积等因素与牙周炎患病率显著相关。年龄、社会经济地位、牙齿清洁方法、饮酒和牙菌斑堆积是广泛性牙周炎的显著风险指标。年龄、嚼烟和牙菌斑与人群中牙周炎的严重程度相关。
农村人口牙周炎患病率较高。社会人口学因素、口腔卫生差、烟草和酒精是导致牙周炎的主要风险指标。
