Maia F-B-M, de Sousa E-T, Sampaio F-C, Freitas C-H-S-M, Forte F-D-S
901 Limeira Avenue, Areião, Piracicaba-SP/Brazil 13414-903,
Med Oral Patol Oral Cir Bucal. 2018 Mar 1;23(2):e203-e210. doi: 10.4317/medoral.22176.
This study aimed to explore the association between tooth loss and social determinants, health self-perceptions, OIDP and self-concept of dental treatment need in middle-aged adults with diabetes and hypertension.
A cross-sectional study was developed with 212 hypertensive and diabetic middle-aged adults (50-65 years). Data were collected from clinical examinations (DMFT) and a questionnaire regarding socioeconomic status, dental health assistance, self-perceptions of oral and general health, OIDP, and the self-concept of dental treatment need. Tooth loss was dichotomized considering the cutoff point of 12 (Model I) or 24 missing teeth (Model II). Data were analyzed using Chi-square, Fisher's exact test and logistic regression (p≤0.05).
Tooth loss was significantly associated with variables such as last dental visit, reason for dental visit, OIDP, perception of dental treatment need, and general self-perception (Model I). Schooling, last dental visit, oral health self-perception and perception of dental treatment need were significantly associated with tooth loss in the Model II. When Model 1 and 2 were adjusted, they demonstrated that last dental visit and perception of dental treatment need were predictor variables.
The annual dental visit and the self-concept of dental treatment need were associated with tooth loss, demonstrating that these variables reduce the tooth loss prevalence.
本研究旨在探讨糖尿病和高血压中年成年人的牙齿缺失与社会决定因素、健康自我认知、口腔疾病影响概况(OIDP)以及牙科治疗需求自我概念之间的关联。
对212名年龄在50至65岁之间的高血压和糖尿病中年成年人开展了一项横断面研究。数据收集自临床检查(DMFT)以及一份关于社会经济状况、牙科保健援助、口腔和总体健康自我认知、OIDP以及牙科治疗需求自我概念的问卷。根据12颗缺失牙(模型I)或24颗缺失牙(模型II)的截断点将牙齿缺失进行二分法划分。使用卡方检验、费舍尔精确检验和逻辑回归分析数据(p≤0.05)。
牙齿缺失与诸如上次看牙、看牙原因、OIDP、牙科治疗需求认知以及总体自我认知等变量显著相关(模型I)。在模型II中,受教育程度、上次看牙、口腔健康自我认知和牙科治疗需求认知与牙齿缺失显著相关。当对模型1和2进行调整时,结果表明上次看牙和牙科治疗需求认知是预测变量。
每年看牙以及牙科治疗需求自我概念与牙齿缺失相关,表明这些变量可降低牙齿缺失患病率。