Division of Periodontology, Department of Developmental and Surgical Sciences, School of Dentistry, University of Minnesota, Minneapolis, MN.
School of Dentistry, University of Minnesota, Minneapolis, MN.
J Periodontol. 2018 Aug;89(8):924-932. doi: 10.1002/JPER.17-0586.
The objective of the present study was to assess self-reported periodontal screening questions, demographic characteristics, systemic medical conditions, and tobacco use for predicting periodontal disease among individuals seeking dental therapy in a university dental clinic.
In this retrospective study, a total of 4,890 randomly selected dental charts were evaluated from among patients who had attended the University of Minnesota School of Dentistry clinics for treatment. Radiographic bone loss measurements were used to assess the severity of periodontal disease. Demographic characteristics as well as medical history of the patients were also recorded. Five self-reported periodontal screening questions were included, with answers limited to Yes/No. Generalized logit models were used to assess the association between bone loss and the predictors.
The sample's mean age was 54.1 years and included 52.6% males and 14.9% smokers, with a mean of 3.5 missing teeth. Self-reported tooth mobility, history of "gum treatment," and the importance of retaining teeth as well as age, tobacco use, and cancer were statistically significant predictors (P < 0.05) of a radiographic diagnosis of moderate and severe periodontal disease. With respect to severe periodontal disease, significant associations (P < 0.05) were also found with "bleeding while brushing," gender, diabetes, anxiety, and arthritis.
Self-reported periodontal screening questions as well as demographic characteristics, smoking, and systemic medical conditions were significant predictors of periodontal disease, and they could be used as valid, economic, and practical measures.
本研究的目的是评估自我报告的牙周筛查问题、人口统计学特征、系统性医学状况和烟草使用情况，以预测在大学牙科诊所寻求牙科治疗的个体的牙周病。
在这项回顾性研究中，从曾在明尼苏达大学牙科学院诊所接受治疗的患者中随机选择了 4890 份牙科图表进行评估。使用放射照相骨丢失测量来评估牙周病的严重程度。还记录了患者的人口统计学特征和病史。纳入了 5 个自我报告的牙周筛查问题，答案仅限于是/否。广义逻辑模型用于评估骨丢失与预测因子之间的关联。
样本的平均年龄为 54.1 岁，包括 52.6%的男性和 14.9%的吸烟者，平均缺牙 3.5 颗。自我报告的牙齿松动、“牙龈治疗”史以及保留牙齿的重要性以及年龄、吸烟和癌症是影像学诊断中度和重度牙周病的统计学显著预测因子（P<0.05）。对于严重的牙周病，与“刷牙时出血”、性别、糖尿病、焦虑和关节炎也存在显著关联（P<0.05）。
自我报告的牙周筛查问题以及人口统计学特征、吸烟和系统性医学状况是牙周病的显著预测因子，可作为有效、经济和实用的措施。
