Background Clinical dental evaluations are considered complex and costly measurements that epidemiological surveillance studies of multiple simultaneous chronic diseases currently require, for example National Health Surveys (ENS). Accordingly, simpler and more affordable methods need to be validated. The aim of this study was to assess the validity of the self-report on the total number of teeth in the general Chilean adult population. Methods A substudy was conducted on ENS 2016–2017 participants. A stratified random sample of 101 of them was subjected to a telephone questionnaire. This information was then compared with the results obtained from the oral examination performed by a trained nurse during a home visit. Spearman correlations, intraclass correlation coefficients and the Bland-Altman method were used to analyse the data. Results In men, the average number of teeth recorded during the oral examination coincided with the number of teeth in the self-report (22 teeth). In women, the total teeth average was 18 and 19 teeth according to the examination and self-report, respectively. For the total number of participants, a strong and significant Spearman correlation was obtained (ρ = 0.93); in men and women, the Spearman correlation observed was also strong and significant (ρ = 0.90 and ρ = 0.96 respectively). The value of the intraclass correlation coefficient indicated a significant concordance (CCI = 0.96) in both men and women (CCI = 0.93 and 0.98 respectively). A tendency to greater correlation was observed as the number of teeth decreased. Conclusions The number of teeth self-reported by the subjects in this study correlated with the number of teeth recorded in the clinical examination. Self-report is a valid method to determine the number of teeth in national health surveys.
Introduction. Several population studies have addressed oral health inequalities. Edentulism, functional dentition, and number of remaining teeth have been associated with different socioeconomic level measurements. The aim of this study was to evaluate the association between educational level and tooth loss in the Chilean population aged 15 years and above, based on the 2016-2017 National Health Survey (ENS 2016-2017). Material and Methods. The sample for this cross-sectional study comprised 5473 subjects. The main independent variable was educational level (LEL: low, MEL: medium, and HEL: high). To measure tooth loss, we considered the variables number of remaining teeth, edentulism, and functional dentition. We used logistic regressions to assess the condition of dentition according to the subject’s EL. As to the number of teeth variable, linear regressions were conducted. The analyses were carried out considering the complex sampling design in SPSS 24.0. Results. When comparing LEL subjects with HEL subjects, the adjusted difference in number of remaining teeth was 3.11 for the maxilla and 1.72 for the mandible. An individual with LEL had a 7.51 [3.50–16.10] and 6.06 [2.68–13.68] times higher risk of upper edentulism and lower edentulism than a HEL individual, respectively. Regarding functional dentition, the adjusted OR in HEL subjects was 13.33 [8.02–22.15] and in MEL subjects was 2.81 [2.03–3.87], compared to LEL results. Conclusions. LEL was associated with a significant tooth loss in the Chilean population. Subjects with LEL obtained a lower mean of number of remaining teeth and higher prevalence of edentulism and nonfunctional dentition.
Background: Several population studies have addressed oral health inequity-related issues. Edentulism, functional dentition and number of remaining teeth have been linked to different socioeconomic level measurements. The aim of this study was to evaluate the association between educational level (EL) and tooth loss in the Chilean population aged 15 years old and above, based on the recent data collected from the 2016-2017 National Health Survey (ENS 2016-2017). Methods: The sample for this cross-sectional study comprised 5473 subjects. The main independent variable in the study was educational level (LEL: low, MEL: medium, HEL: high). In order to measure tooth loss number of remaining teeth, edentulism and functional dentition were considered. Based on a multivariate logistic regression, it was possible to obtain odds ratios (OR) and, therefore, to assessing the condition of dentition according to the subject’s EL. As to the number of teeth variable, multiple linear regressions were conducted. The analyses were carried out in the SPSS 24.0 program considering the complex sampling design of ENS 2016-2017. Results: When comparing LEL subjects with HEL subjects, the adjusted difference in the number of remaining teeth was 3.11 for maxilla and 1.72 for mandible. An individual with a LEL had a 7.51 [3.50-16.10] and 6.06 [2.68-13.68] times higher risk of upper edentulism and lower edentulism than a HEL individual respectively. Regarding functional dentition, the adjusted OR in HEL subjects was 13.33 [8.02-22.15] and in MEL subjects was 2.81 [2.03-3.87], compared to LEL results. Conclusions: LEL was associated with a significant tooth loss in the Chilean population. Regardless of age, subjects with a LEL obtained a lower mean of number of remaining teeth, higher prevalence of edentulism and lower prevalence of functional dentition.
In this paper we discuss the components and design of each part of an expert system for fault detection and diagnosis in the refrigeration process of a hydraulic power station. Given a minimum group of measurements, it is possible to extract behavior patterns for the whole system. The knowledge base is obtained by simulating the dynamic behavior of the process. The expert system was designed for a 580MW power plant called Central Pehuenche, located in Chile. The system shows a 96% of detection effectiveness under different operation conditions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.