8 resultados para Dental age estimation
em DigitalCommons@The Texas Medical Center
Resumo:
Cancer of the oral cavity and pharynx remains one of the ten leading causes of cancer death in the United States (US). Besides smoking and alcohol consumption, there are no well established risk factors. While poor dental care had been implicated, it is unknown if the lack of dental care, implying poor dental hygiene predisposes to oral cavity cancer. This study aimed to assess the relationship between dental care utilization during the past twelve months and the prevalence of oral cavity cancer. A cross-sectional design of the National Health Interview Survey of adult, non-institutionalized US residents (n=30,475) was used to assess the association between dental care utilization and self reported diagnosis of oral cavity cancer. Chi square statistic was used to examine the crude association between the predictor variable, dental care utilization and other covariates, while unconditional logistic regression was used to assess the relationship between oral cavity cancer and dental care utilization. There were statistically significant differences between those who utilized dental care during the past twelve months and those who did not with respect to education, income, age, marital status, and gender (p < 0.05), but not health insurance coverage (p = 0.53). Also, those who utilized dental care relative to those who did not were 65% less likely to present with oral cavity cancer, prevalence odds ratio (POR), 0.35, 95% Confidence Interval (CI), 0.12–0.98. Further, higher income advanced age, people of African heritage, and unmarried status were statistically significantly associated with oral cavity cancer, (p < 0.05), but health insurance coverage, alcohol use and smoking were not, p > 0.05. However, after simultaneously controlling for the relevant covariates, the association between dental care and oral cavity cancer did not attenuate nor persist. Thus, compared with those who did not use dental care, those who did wee 62% less likely to present with oral cavity cancer adjusted POR, 0.38, 95% CI, 0.13-1.10. Among US adults residing in community settings, use of dental care during the past twelve months did not significantly reduce the predisposition to oral cavity cancer. However, due to the nature of the data used in this study, which restricts temporal sequence, a large sample prospective study that may identify modifiable factors associated with oral cancer development namely poor dental care, is needed. ^
Resumo:
Objectives. The purpose of this thesis is to understand the underlying socioeconomic characteristics affecting dental insurance coverage, yearly dental visits, and factors related to visiting a dentist in Mexico among border region residents. Methods. Using data from the Border Epidemiological Study of Aging, dental utilization in the previous 12 months, dental visits to Mexico, and dental insurance (proxy) were calculated utilizing logistic regression. Three different models were utilized for the dependent variables adjusting for diverse socioeconomic characteristics such as gender, age, marital status, income, education, years of residence in the United States (for immigrants), English proficiency, general health status, employment and dental insurance. Results. After adjustment, diverse variables were significant for the three different models calculated. Conclusion. Although the Mexican health market constitutes a viable option for dental services for border residents, dental insurance and dental yearly visits were lower in this region when compared to national averages. ^
Resumo:
Reimbursement for dental services performed for children receiving Medicaid is reimbursed per service while dental treatment for military dependents provided at a military installation is neither directly reimbursable to those providing the care nor billed to those receiving the care. The purpose of this study was to compare pediatric dental services provided for a Medicaid population to a federally subsidized military facility to compare treatment choices and subsequent costs of care. It was hypothesized that differences in dental procedures for Medicaid and military dependent children would exist based upon treatment philosophy and payment method. A total of 240 records were reviewed for this study, consisting of 120 Medicaid patients at the University of Texas Health Science Center at San Antonio (UTHSCSA) and 120 military dependents at Wilford Hall Medical Center (WHMC), Lackland Air Force Base, San Antonio. Demographic data and treatment information were abstracted for children receiving dental treatment under general anesthesia between 2002 and 2006. Data was analyzed using the Wilcoxon rank sum test, Kruskal-Wallis test, and Fisher's exact test. The Medicaid recipients treated at UTHSCSA were younger than patients at WHMC (40.2 vs. 49.8 months, p<.001). The university also treated significantly more Hispanic children than WHMC (78.3% vs. 30.0%, p<.001). Children at UTHSCSA had a mean of 9.5 decayed teeth and were treated with 2.3 composite fillings, 0 amalgam fillings, 5.6 stainless steel crowns, 1.1 pulp therapies, 1.6 extractions, and 1.0 sealant. Children at WHMC had a mean of 8.7 decayed teeth and were treated with 1.4 composite fillings, 0.9 amalgam fillings, 5.6 stainless steel crowns, 1.7 pulp therapies, 0.9 extractions, and 2.1 sealants. The means of decayed teeth, total fillings, and stainless steel crowns were not statistically different. UTHSCSA provided more composite fillings (p<.001), fewer amalgam fillings (p<.001), fewer pulp therapies (p <.001), more extractions (p=.01), and fewer sealants (p<.001) when compared to WHMC. Age and gender did not effect decay rates, but those of Hispanic ethnicity did experience more decay than non-Hispanics (9.5 vs. 8.6, p=.02). Based upon Texas Medicaid reimbursement rates from 2006, the cost for dental treatment at both sites was approximately $650 per child. The results of this study do not support the hypothesis that Medicaid providers provide less conservative therapies, which would be more costly, care when compared to a military treatment center. ^
Resumo:
Lack of access to oral health care frequently affects those of lower socio-economic level; individuals in this group experience more dental decay, and the caries experience is more likely to be untreated. Inadequate dental care access may be attributed to exclusion that is due to income, geography, age, race or ethnicity. Objective: The present study aims were to: (1) determine how oral disease prevalence and access to dental services in four US-Mexico Border unincorporated low socioeconomic settlements identified as colonias compare to each other and Laredo, Texas, and (2) determine if insurance status affects dental care access and/or disease prevalence. Methods: A secondary analysis of data from a retrospective chart review of 672 patients attending a Mobile Dental Van Program in the Webb County colonias. Demographic information, (ethnicity, age, gender, insurance coverage and colonia site), dental visits within past year, insurance status, presence of dental sealants, prevalence of untreated dental decay (caries), and presence of gum disease (gingivitis and periodontitis) were extracted. Pearson's chi-square tests (χ2) were computed to compare the prevalence of these outcomes between colonias and Laredo and their potential association with insurance status. Results: For 6 - 11 year olds, dental visits in the past year were lower for colonias (39%), than Laredo (58.5%) (p<0.002). Caries prevalence was higher for colonias (56.6%), than Laredo (37.1%) (p<0.001). Gum disease prevalence was higher in colonias (73%), than in Laredo (21.4%) (p<0.001). No significant differences were noted for caries (χ2=1.73; p<0.188) and gum disease (χ2=0.0098; p<0.921) by patient's insurance status. For adults 36 - 64 years of age, dental visits in the past year were lower in colonias (22.4%), than Laredo (36.3%) (p<0.001). Caries prevalence was higher for colonias (78.3%), than Laredo (54.0%) (p<0.001). Gum disease prevalence was also higher among colonias (91.3%) than Laredo (61.3%) (p<0.001). No significant differences were noted for caries (χ2=0.0010; p<0.975) and gum disease (χ2=0.0607; p<0.805) by patient's insurance status. Conclusion: Colonia residents seeking dental care at a Mobile Dental Van Program in Webb County have significantly higher prevalence of oral disease regardless of insurance status.^
Resumo:
The need for timely population data for health planning and Indicators of need has Increased the demand for population estimates. The data required to produce estimates is difficult to obtain and the process is time consuming. Estimation methods that require less effort and fewer data are needed. The structure preserving estimator (SPREE) is a promising technique not previously used to estimate county population characteristics. This study first uses traditional regression estimation techniques to produce estimates of county population totals. Then the structure preserving estimator, using the results produced in the first phase as constraints, is evaluated.^ Regression methods are among the most frequently used demographic methods for estimating populations. These methods use symptomatic indicators to predict population change. This research evaluates three regression methods to determine which will produce the best estimates based on the 1970 to 1980 indicators of population change. Strategies for stratifying data to improve the ability of the methods to predict change were tested. Difference-correlation using PMSA strata produced the equation which fit the data the best. Regression diagnostics were used to evaluate the residuals.^ The second phase of this study is to evaluate use of the structure preserving estimator in making estimates of population characteristics. The SPREE estimation approach uses existing data (the association structure) to establish the relationship between the variable of interest and the associated variable(s) at the county level. Marginals at the state level (the allocation structure) supply the current relationship between the variables. The full allocation structure model uses current estimates of county population totals to limit the magnitude of county estimates. The limited full allocation structure model has no constraints on county size. The 1970 county census age - gender population provides the association structure, the allocation structure is the 1980 state age - gender distribution.^ The full allocation model produces good estimates of the 1980 county age - gender populations. An unanticipated finding of this research is that the limited full allocation model produces estimates of county population totals that are superior to those produced by the regression methods. The full allocation model is used to produce estimates of 1986 county population characteristics. ^
Resumo:
Data derived from 1,194 gravidas presenting at the observation unit of a city/county hospital between October 11, 1979 through December 7, 1979 were evaluated with respect to the proportion ingesting drugs during pregnancy. The mean age of the mother at the time of the interview was 22.0 years; 43.0 percent were Black; 34.0 percent Latin-American, 21.0 percent White and 2.0 percent other; mean gravida was 2.5 pregnancies; mean parity was 1.0; and mean number of previous abortions was 0.34. Completed interview data was available for 1,119 gravida, corresponding urinalyses for 997 subjects. Ninety and one-tenth percent (90.1 percent) of the subjects reported ingestion of one or more drug preparation(s) (prescription, OTC, or substances used for recreational purposes) during pregnancy with a range of 0 to 11 substances and a mean of 2.7. Dietary supplements (vitamins and minerals) were most frequently reported followed by non-narcotic analgesics. Seventy-six and one tenth percent (76.1 percent) of the population reported consumption of prescription medication, 42.5 percent reported consumption of over-the-counter medications, 45.7 percent reported consumption of a substance for recreational purposes and 4.3 percent reported illicit consumption of a substance. For selected substances, no measurable difference was found between obtaining the information from the interview method or from a urinalysis assay. ^
Resumo:
The purpose of this study was to examine, in the context of an economic model of health production, the relationship between inputs (health influencing activities) and fitness.^ Primary data were collected from 204 employees of a large insurance company at the time of their enrollment in an industrially-based health promotion program. The inputs of production included medical care use, exercise, smoking, drinking, eating, coronary disease history, and obesity. The variables of age, gender and education known to affect the production process were also examined. Two estimates of fitness were used; self-report and a physiologic estimate based on exercise treadmill performance. Ordinary least squares and two-stage least squares regression analyses were used to estimate the fitness production functions.^ In the production of self-reported fitness status the coefficients for the exercise, smoking, eating, and drinking production inputs, and the control variable of gender were statistically significant and possessed theoretically correct signs. In the production of physiologic fitness exercise, smoking and gender were statistically significant. Exercise and gender were theoretically consistent while smoking was not. Results are compared with previous analyses of health production. ^
Resumo:
Objectives. The purpose of this study was to elucidate behavioral determinants (prevailing attitudes and beliefs) of hand hygiene practices among undergraduate dental students in a dental school. ^ Methods. Statistical modeling using the Integrative Behavioral Model (IBM) prediction was utilized to develop a questionnaire for evaluating behavioral perceptions of hand hygiene practices by dental school students. Self-report questionnaires were given to second, third and fourth year undergraduate dental students. Models representing two distinct hand hygiene practices, termed "elective in-dental school hand hygiene practice" and "inherent in-dental school hand hygiene practice" were tested using linear regression analysis. ^ Results. 58 responses were received (24.5%); the sample mean age was 26.6 years old and females comprised 51%. In our models, elective in-dental school hand hygiene practice and inherent in-dental school hand hygiene practice, explained 40% and 28%, respectively, of the variance in behavioral intention. Translation of community hand hygiene practice to the dental school setting is the predominant driver of elective hand hygiene practice. Intended elective in-school hand hygiene practice is further significantly predicted by students' self-efficacy. Students' attitudes, peer pressure of other dental students and clinic administrators, and role modeling had minimal effects. Inherent hand hygiene intent was strongly predicted by students' beliefs in the benefits of the activity and, to a lesser extent, role modeling. Inherent and elective community behaviors were insignificant. ^ Conclusions. This study provided significant insights into dental student's hand hygiene behavior and can form the basis for an effective behavioral intervention program designed to improve hand hygiene compliance.^