English language proficiency, complete tooth loss, and recent dental visits among older adults in the United States (original) (raw)
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Tooth-Loss Experience and Associated Variables among Adult Mexicans 60 Years and Older
Puerto Rico health sciences journal, 2016
This study was conducted to determine the experience of tooth loss, as well as its associated variables, in a sample of adult Mexicans, aged 60 years and older. This cross-sectional study was part of a larger project to measure diverse oral health indicators in a convenience sample: it included 139 adult Mexican seniors (69.1% of whom were women), ages 60 years and older, either living in long-term care facilities or living independently and participating in adult day care services. Each participant underwent an oral examination to determine the number of missing teeth. Questionnaires were administered to collect sociodemographic, socioeconomic, and behavioral data. Statistical analyses were performed using nonparametric tests and negative binomial regression. The mean age was 79.06 (±9.78 years). The mean number of missing teeth was 20.02 (±8.61; median, 24); 99.3% of the participants had at least 1 missing tooth, and only 14 had 20 teeth or more. Using a negative binomial regressi...
Objective: To explore the association between tooth loss and cognitive functioning among persons 65 years and older. Methods: Data from the Hispanic Established Populations for Epidemiologic Studies of the Elderly (Wave 1: 1993-1994, n= 3,032; Wave 2: 1995-1996, n= 2,424; and Wave 3: 1998-1999, n= 1,967). The dependent variables were the scores from the total Mini-Mental State Examination (MMSE: score 0-30) and its global domains (memory: score 0-6; and no-memory: score 0-24). Independent variables included the number of teeth (0-12 vs. 13-32), socio-demographic characteristics, last dental office visit, medical conditions, depressive symptoms, and functional limitations which were tested for associations with the dependent variables. Results: In bivariate analyses, participants with fewer teeth (0-12) tended to have significantly lower mean scores for memory, no-memory, and total MMSE when compared to those with more teeth (13-32), both at baseline and at follow-up. In fully adjust...
International Journal of Environmental Research and Public Health, 2022
Background. Many older adults suffer from poor oral health, including tooth loss, and disparities among racial/ethnic and socially disadvantaged populations continue to exist. Methods. Data were obtained from the National Health and Nutrition Examination Survey among the adult population in the U.S. The prevalence of edentulism and multiple regression models were conducted on 15,821 adults, including Asians, Blacks, Hispanics, Whites, and others to assess the relationships between tooth loss and their predictors. Results. The prevalence of complete tooth loss increased with age from 0.7% for ages 20–44 to 20.2% for ages 65 and over. There are disparities in complete tooth loss regarding race/ethnicity, with the highest percentages (9%) among Whites and Blacks and the lowest percentages among Asians (3%) and Hispanics (4%). After adjusting for predictors, their impact on tooth loss was not consistent within racial/ethnic groups, as Asians had more tooth loss from Model 1 (β = −1.974,...
BioMed Research International
The objective of this study was to determine the experience of tooth loss and associated factors in older adults and elderly residing in nursing homes. A cross-sectional study was conducted in Mexican older adults and elderly aged ≥60 years living in four nursing homes (two in Mexico City, Mexico: one in Cuernavaca, Morelos, and one in Oaxaca, Oaxaca). The data were collected at the facility (home nursing) by two dentists in 2019. To determine the number of tooth loss and DMFT, a clinical oral examination was performed. In addition, a questionnaire was applied to determine diverse independent variables (demographic, socioeconomic, and behavioral). The analysis was performed using nonparametric tests and negative binomial regression ( p < 0.05 ). 257 subjects were included. The mean age was 81.25 ± 9.02 years, and 60.7% were women. The mean number of lost teeth was 18.78 ± 9.05 ( women = 19.43 ± 8.59 and men = 17.77 ± 9.68 ; p > 0.05 ). In the multivariate negative binomial reg...
Primary Language Spoken at Home and Children's Dental Service Utilization in the United States
Journal of Public Health Dentistry, 2009
Objective: Language barriers have been well documented as a contributing factor to disparities in the receipt of medical services, especially for Hispanic children. However, there is a paucity of information on the effect of language barriers on children's dental service utilization. We examined the association of primary language spoken at home with the receipt of preventive and routine dental care for children in the United States. Methods: We analyzed data from the Medical Expenditure Panel Survey (2002)(2003)(2004), which contains data on 21,049 children weighted to represent 75.8 million children nationally. Results: Among children aged 1-18 years, 13 percent spoke a language other than English at home. Whites, females, children between the ages of 7 and 12 years, and those whose parents spoke English at home had the highest marginal rates of preventive and routine dental visits. However, the large marginal effect of language, even among Hispanics, was not significant after adjusting for other covariates. Parental education and having a primary provider were the strongest predictors of preventive and routine dental visits. Conclusion: Children that did not speak English at home were less likely to receive preventive or routine dental care. However, after adjusting for other socio-economic factors, our study suggests that language barriers may not play as pronounced a role in the receipt of dental care as that documented for medical services.
Predictors of Tooth Loss in Two US Adult Populations
Journal of Public Health Dentistry, 2004
Objectives: This study determines tooth loss rate over a 1 O-year period and identifies predictors of tooth loss in two separate US adult longitudinal study populations. Methods: Subjects from the Baltimore Longitudinal Study of Aging (BLSA), consisting of 47 men and 47 women, ages ranging from 30 to 69 years, were compared to subjects from the VA Dental Longitudinal Study (VADLS) in Boston, MA, consisting Of 481 men in the same age range. Baseline and follow-up examinations were performed on each cohort over a 10-year period. Using multivariate regression models, significant predictors of tooth loss were identified. Results: A mean rate of tooth loss of 1.5 teeth lost per 10 years was noted in the VADLS cohort compared to 0.6 teeth lost per 10 years in the BLSA (Pe.001).
Do Socioeconomic Conditions Explain Ethnic Inequalities in Tooth Loss among US Adults?
Ethnicity & Disease, 2018
Objective: To assess whether there are ethnic differences in tooth loss among adult Americans aged <40 years and whether socioeconomic position attenuates these differences if they exist.Methods: Data were from the 2014 Behavioral Risk Factor Surveillance System, a health-related telephone cross-sectional survey of a nationally representative sample of US adults. Tooth loss (one tooth or more) was used as the outcome variable. Ethnicity was the main explanatory variable. Family income, education and health insurance were also used in the analysis. Logistic regression models for tooth loss were constructed adjusting for demographic (age, sex, and ethnicity), socioeconomic indicators (income and education), health insurance, dental visits, smoking and diabetes.Results: A total of 76,273 participants were included in the analysis. The prevalence of tooth loss was highest among Blacks (33.7%). Hispanics and other ethnic groups had a higher prevalence of tooth loss than Whites, 29.1...
Derivation of the short form of the Oral Health Impact Profile in Spanish (OHIP-EE-14)
Gerodontology, 2012
Background and Objective: The Oral Health Impact Profile is the most frequently used and validated of the Oral Health Quality of Life instruments. Several short versions have been developed; and a validation of the OHIP-49 in Spanish has been published. The objective was to develop the short version of the Oral Health Impact Profile in Spanish (OHIP-EE-14). Methods: Cross-sectional study. One hundred and thirty-one persons aged ‡60 years attending a social centre for the elderly, residents of a nursing home and persons seeking dental care at a dental school in Mexico City were interviewed and examined. The validity of each of the 49 questions was evaluated, and, to construct the short version, 14 items were selected. The perceived need for dental treatment, number of teeth, presence of coronal caries, root caries, presence of dental plaque and utilisation of removable prosthesis were measured. Internal consistency, repeatability and discriminant validity were calculated. Results: The OHIP-EE-14 was reliable (Cronbach's-a = 0.918, ICC = 0.825). Significant associations were found between OHIP-EE-14 and the number of teeth and perceived need for dental treatment. Conclusions: The OHIP-EE-14 is a reliable and valid instrument and can be used in subjects aged 60 years and over from Mexico City.
Factors contributing to tooth loss among the elderly: A cross sectional study
Singapore Dental Journal, 2014
Background: The present study evaluates the influence of several demographic, health, personal, and clinical factors on the number of missing teeth in old age sample. Methods: 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. Results: 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%. Conclusions: 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.