Natto Zuhair S, Aladmawy Majdi, Alasqah Mohammed, Papas Athena
Department of Periodontology, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA; Department of Dental Public Health, King Abdualziz University, School of Dentistry, Jeddah, Saudi Arabia.
Department of Periodontology, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA.
Singapore Dent J. 2014 Dec;35:17-22. doi: 10.1016/j.sdj.2014.11.002.
The present study evaluates the influence of several demographic, health, personal, and clinical factors on the number of missing teeth in old age sample.
The number of patients included was 259; they received a full mouth examination and answered a questionnaire provided by one examiner. All the variables related to teeth loss based on the literature were included. These variables focused on age, gender, race, marital status, clinical attachment level, pocket depth, year of smoking, number of cigarettes smoked per day, number of medications, root decay, coronal decay, health status, and year of education. Statistical analysis involved stepwise multivariate linear regression.
Teeth loss was statistically associated with clinical attachment level (CAL)(p value 0.0001), pocket depth (PD) (0.0007) and education level (0.0048). When smoking was included in the model, age was significantly associated with teeth loss (0.0037). At least one of these four factors was also related to teeth loss in several specific groups such as diabetes mellitus, male, and White. The multiple linear regressions for all the proposed variables showed that they contributed to teeth loss by about 23%.
It can be concluded that less education or increased clinical attachment level loss may increase number of missing teeth. Additionally, age may cause teeth loss in the presence of smoking.
本研究评估了若干人口统计学、健康、个人和临床因素对老年样本中缺失牙数量的影响。
纳入患者259例;他们接受了全口检查,并回答了由一名检查者提供的问卷。纳入了所有基于文献的与牙齿缺失相关的变量。这些变量集中在年龄、性别、种族、婚姻状况、临床附着水平、牙周袋深度、吸烟年份、每日吸烟量、用药数量、根龋、冠龋、健康状况和受教育年限。统计分析采用逐步多元线性回归。
牙齿缺失与临床附着水平(CAL)(p值0.0001)、牙周袋深度(PD)(0.0007)和教育水平(0.0048)在统计学上相关。当将吸烟纳入模型时,年龄与牙齿缺失显著相关(0.0037)。在糖尿病、男性和白人等几个特定群体中,这四个因素中至少有一个也与牙齿缺失有关。对所有提出的变量进行的多元线性回归表明,它们对牙齿缺失的贡献率约为23%。
可以得出结论,受教育程度较低或临床附着水平降低可能会增加缺失牙的数量。此外,在吸烟的情况下,年龄可能导致牙齿缺失。