Stoykova Maria, Musurlieva Nina, Boyadzhiev Doychin
Deparment of Social Medicine and Public Health, Faculty of Public Health, Medical University of Plovdiv , Plovdiv , Bulgaria.
Department of Applied Mathematics and Modeling, Faculty of Mathematics and Informatics, Plovdiv University 'Paisii Hilendarski' , Plovdiv , Bulgaria.
Biotechnol Biotechnol Equip. 2014 Nov 2;28(6):1150-1154. doi: 10.1080/13102818.2014.974328. Epub 2014 Nov 12.
The aim of this work was to assess the risks and analyse the risk factors for development of chronic periodontitis in Bulgarian patients. The quality of life was investigated in a cohort of 228 patients with chronic periodontitis. Within the frame of this study, pilot research (a case-control study) was conducted among 80 patients (20 cases and 60 control patients without periodontitis) to evaluate the risk for development of chronic periodontitis. The minimum sample size of patients was determined based on power analysis for sample-size calculation. The mean age of participants in the control group was 31.33 ± 9.38 years and in the case group, 33.00 ± 11.52. Data were accumulated by clinical and sociological methods. Descriptive statistics and multi-factor logistic regression analysis (Backward Conditional procedure) were used. One-factor dispersion analysis showed that, of the 12 studied risk factors, the following variables were significant: stress, diabetes, presence of calculus, overlapping and misaligned teeth ( < 0.05). Multiple logistic regressions were applied to evaluate the association between the variables. Three predictors were selected in the final logistic regression equation: diabetes ( = 4.195; = 0.001), crooked and overlapping teeth ( = 3.022; = 0.010) and stress ( = 2.882; = 0.014). The logistic risk assessment model for development of periodontitis has a predictive value of 93.80% (χ = 63.91; = 0.000). Our results confirmed some proven risk factors for periodontal disease. In the studied population, diabetes was the single, most important predictor for development of periodontitis.
这项工作的目的是评估保加利亚患者患慢性牙周炎的风险并分析其风险因素。对228例慢性牙周炎患者进行了生活质量调查。在本研究框架内，对80例患者（20例病例和60例无牙周炎的对照患者）进行了初步研究（病例对照研究），以评估患慢性牙周炎的风险。根据样本量计算的功效分析确定了患者的最小样本量。对照组参与者的平均年龄为31.33±9.38岁，病例组为33.00±11.52岁。通过临床和社会学方法收集数据。使用描述性统计和多因素逻辑回归分析（向后条件法）。单因素方差分析表明，在研究的12个风险因素中，以下变量具有显著性：压力、糖尿病、牙石的存在、牙齿重叠和排列不齐（<0.05）。应用多元逻辑回归评估变量之间的关联。最终的逻辑回归方程中选择了三个预测因素：糖尿病（=4.195；=0.001）、牙齿弯曲和重叠（=3.022；=0.010）以及压力（=2.882；=0.014）。牙周炎发展的逻辑风险评估模型的预测价值为93.80%（χ=63.91；=0.000）。我们的结果证实了一些已证实的牙周疾病风险因素。在研究人群中，糖尿病是牙周炎发展的唯一最重要的预测因素。
