Factors associated with periodontal diseases in Jordan: principal component and factor analysis approach.
Factors associated with periodontal diseases in Jordan: principal component and factor analysis approach.
复制标题
DOI：
10.2334/josnusd.48.77
复制
发表时间：
2006-06-01
影响因子：
1.9
通讯作者：
Khader, Yousef Saleh
中科院分区：
文献类型：
--
作者：
Khader, Yousef Saleh
这项研究是利用主成分和因子分析技术在约旦人群中确定与牙周病相关的因素。受试者是在约旦科技大学牙科教学诊所就诊的603名齿状患者，年龄在15-65岁之间。用菌斑指数、牙龈指数、探诊袋深度、临床附着水平、牙龈退缩和缺牙数来评估他们的口腔卫生和牙周状况。采用因子分析、主成分分析和二元Logistic回归分析确定与牙周病相关的因素。探诊袋深度、临床附着水平、牙龈退缩和缺牙数被归类为相同的因素，可以组合在一个量表中来衡量牙周病的严重程度。另一方面，菌斑指数和牙龈指数被归类为另一个因素，并可以在另一个量表中组合起来，以确定口腔卫生和牙龈状况之间的关系。结果表明，年龄增加、文化程度低、菌斑指数评分增加、不刷牙、吸烟15包以上、有糖尿病与牙周病的严重程度显著相关。总之，基于牙周指数和参数的线性组合，可以形成一个标准的量表来衡量牙周病的严重程度，并确定其风险指标。
This study was conducted to identify factors associated with periodontal disease in a Jordanian population using principal component and factor analysis techniques. Subjects were 603 dentate patients aged 15-65 years attending dental teaching clinics at the Jordan University of Science and Technology. Their oral hygiene and periodontal status were assessed using plaque index, gingival index, probing pocket depth, clinical attachment level, gingival recession, and number of missing teeth. Factor and principal component analysis and binary logistic regression were conducted to identify factors related to periodontal disease. Probing pocket depth, clinical attachment level, gingival recession, and number of missing teeth were sorted as the same factor and could be combined in one scale to measure the severity of periodontal disease. On the other hand, plaque index and gingival index were sorted as another factor and could be combined in another scale to correlate between oral hygiene and gingival status. The results demonstrated that increased age, low level of education, increased plaque index score, not brushing teeth, smoking more than 15 pack-years, and having diabetes were significantly associated with increased severity of periodontal disease. In conclusion, it was possible to form a standard scale, based on linear combinations of periodontal indices and parameters, to measure the severity of periodontal disease and determine its risk indicators.