890 resultados para BOOTSTRAP CONFIDENCE-INTERVALS


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Background. Colorectal cancer (CRC) is the third most commonly diagnosed cancer (excluding skin cancer) in both men and women in the United States, with an estimated 148,810 new cases and 49,960 deaths in 2008 (1). Racial/ethnic disparities have been reported across the CRC care continuum. Studies have documented racial/ethnic disparities in CRC screening (2-9), but only a few studies have looked at these differences in CRC screening over time (9-11). No studies have compared these trends in a population with CRC and without cancer. Additionally, although there is evidence suggesting that hospital factors (e.g. teaching hospital status and NCI designation) are associated with CRC survival (12-16), no studies have sought to explain the racial/ethnic differences in survival by looking at differences in socio-demographics, tumor characteristics, screening, co-morbidities, treatment, as well as hospital characteristics. ^ Objectives and Methods. The overall goals of this dissertation were to describe the patterns and trends of racial/ethnic disparities in CRC screening (i.e. fecal occult blood test (FOBT), sigmoidoscopy (SIG) and colonoscopy (COL)) and to determine if racial/ethnic disparities in CRC survival are explained by differences in socio-demographic, tumor characteristics, screening, co-morbidities, treatment, and hospital factors. These goals were accomplished in a two-paper format.^ In Paper 1, "Racial/Ethnic Disparities and Trends in Colorectal Cancer Screening in Medicare Beneficiaries with Colorectal Cancer and without Cancer in SEER Areas, 1992-2002", the study population consisted of 50,186 Medicare beneficiaries diagnosed with CRC from 1992 to 2002 and 62,917 Medicare beneficiaries without cancer during the same time period. Both cohorts were aged 67 to 89 years and resided in 16 Surveillance, Epidemiology and End Results (SEER) regions of the United States. Screening procedures between 6 months and 3 years prior to the date of diagnosis for CRC patients and prior to the index date for persons without cancer were identified in Medicare claims. The crude and age-gender-adjusted percentages and odds ratios of receiving FOBT, SIG, or COL were calculated. Multivariable logistic regression was used to assess race/ethnicity on the odds of receiving CRC screening over time.^ Paper 2, "Racial/Ethnic Disparities in Colorectal Cancer Survival: To what extent are racial/ethnic disparities in survival explained by racial differences in socio-demographics, screening, co-morbidities, treatment, tumor or hospital characteristics", included a cohort of 50,186 Medicare beneficiaries diagnosed with CRC from 1992 to 2002 and residing in 16 SEER regions of the United States which were identified in the SEER-Medicare linked database. Survival was estimated using the Kaplan-Meier method. Cox proportional hazard modeling was used to estimate hazard ratios (HR) of mortality and 95% confidence intervals (95% CI).^ Results. The screening analysis demonstrated racial/ethnic disparities in screening over time among the cohort without cancer. From 1992 to 1995, Blacks and Hispanics were less likely than Whites to receive FOBT (OR=0.75, 95% CI: 0.65-0.87; OR=0.50, 95% CI: 0.34-0.72, respectively) but their odds of screening increased from 2000 to 2002 (OR=0.79, 95% CI: 0.72-0.85; OR=0.67, 95% CI: 0.54-0.75, respectively). Blacks and Hispanics were less likely than Whites to receive SIG from 1992 to 1995 (OR=0.75, 95% CI: 0.57-0.98; OR=0.29, 95% CI: 0.12-0.71, respectively), but their odds of screening increased from 2000 to 2002 (OR=0.79, 95% CI: 0.68-0.93; OR=0.50, 95% CI: 0.35-0.72, respectively).^ The survival analysis showed that Blacks had worse CRC-specific survival than Whites (HR: 1.33, 95% CI: 1.23-1.44), but this was reduced for stages I-III disease after full adjustment for socio-demographic, tumor characteristics, screening, co-morbidities, treatment and hospital characteristics (aHR=1.24, 95% CI: 1.14-1.35). Socioeconomic status, tumor characteristics, treatment and co-morbidities contributed to the reduction in hazard ratios between Blacks and Whites with stage I-III disease. Asians had better survival than Whites before (HR: 0.73, 95% CI: 0.64-0.82) and after (aHR: 0.80, 95% CI: 0.70-0.92) adjusting for all predictors for stage I-III disease. For stage IV, both Asians and Hispanics had better survival than Whites, and after full adjustment, survival improved (aHR=0.73, 95% CI: 0.63-0.84; aHR=0.74, 95% CI: 0.61-0.92, respectively).^ Conclusion. Screening disparities remain between Blacks and Whites, and Hispanics and Whites, but have decreased in recent years. Future studies should explore other factors that may contribute to screening disparities, such as physician recommendations and language/cultural barriers in this and younger populations.^ There were substantial racial/ethnic differences in CRC survival among older Whites, Blacks, Asians and Hispanics. Co-morbidities, SES, tumor characteristics, treatment and other predictor variables contributed to, but did not fully explain the CRC survival differences between Blacks and Whites. Future research should examine the role of quality of care, particularly the benefit of treatment and post-treatment surveillance, in racial disparities in survival.^

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The recent hurricanes of Katrina, Rita, and Dolly have brought to light the precarious situation populations place themselves in when they are unprepared to face a storm, or do not follow official orders to evacuate when a destructive hurricane is poised to hit the area. Three counties in southern Texas lie within 60 miles of the Gulf of Mexico, and along the Mexican border. Determining the barriers to hurricane evacuation in this distinct and highly impoverished area of the United States would help aid local, state, and federal agencies to respond more effectively to persons living here.^ The aim of this study was to examine intention to comply with mandatory hurricane evacuation orders among persons living in three counties in South Texas by gender, income, education, acculturation and county of residence. A questionnaire was administered to 3,088 households across the three counties using a two-stage cluster sampling strategy, stratified by all three counties. The door-to-door survey was a 73-item instrument that included demographics, reasons for and against evacuation, and preparedness for a hurricane. Weighted data were used for the analyses.^ Chi-square tests were run to determine whether differences between observed and expected frequencies were statistically significant. A logistic regression model was developed based on that univariate analysis. Results from the logistic regression estimated odds ratios and their 95 percent confidence intervals for the independent variables.^ Logistic regression results indicate that females were less likely than men to follow an evacuation order. Having a higher education meant more likelihood of evacuating. Those respondents with a higher affiliation with Spanish than English were more likely to follow the evacuation orders. Hidalgo County residents were less likely to evacuate than Cameron or Willacy Counties' residents. Local officials need to implement communication efforts specifically tailored for females, residents with less of an affiliation with Spanish, and Hidalgo County residents to ensure their successful evacuation prior to a strong hurricane's landfall.^

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Purpose. To determine the risk of late breast cancer recurrence (5 years after treatment) in a population of women diagnosed with early-stage breast cancer at The University of Texas M.D. Anderson Cancer Center (MDACC) between 1985-2000 and to examine the effect of this population’s BMI, smoking history, reproductive history, hormone use, and alcohol intake at the time of diagnosis on risk of late recurrence.^ Methods. Patients included 1,913 members of the Early Stage Breast Cancer Repository recruited at MDACC who had survived without a recurrence for at least five years after their initial diagnosis of early stage breast cancer. Clinical and epidemiological information was ascertained twice on participants during the study—first by medical record abstraction then by patient interview at least five years after receipt of adjuvant treatment. A total of 223 late breast cancer recurrences were captured, with an average follow-up of 10.6 years. Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (CI). ^

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The relationship between occupational exposures and glioma has not been adequately assessed due to the lack of studies in current scientific literature. To address this disparity, the Harris County Brain Tumor Study, an ongoing population-based case-control study, began in January 2001. Longest-held occupation for 382 cases and 629 controls were frequency matched on age (within 5 years), sex, and race and placed into 14 predetermined occupational categories. Adjusted odds ratios and 95% confidence intervals were calculated for each category using multiple logistic regression. Potential confounders assessed included sex, age, smoking status, education and income. For all subjects, significantly elevated adjusted odds ratios were found in health-related (aOR=1.66; 95%CI=1.03, 2.68), teaching (aOR=1.84; 95%CI=1.17, 2.88), and protective service (aOR=3.6; 95%CI=1.05, 12.31) occupational categories after controlling for sex and education. A significantly lowered odds ratio was seen in the writers, artists, and entertainers category (aOR=0.14; 95%CI=0.03, 0.58). In the stratified analyses, which controlled for education, males had a significantly elevated odds ratio for protective service workers (aOR=4.83; 95%CI=1.24, 18.83) while a significantly lower odds ratio was found in mechanics and machine operators (aOR=0.33; 95%CI=0.12,0.87). In females, we observed a significantly elevated odds ratio in teachers (aOR=1.99; 95%CI=1.20,3.31) and a significantly lower odds ratio in clerical workers (aOR=0.63; 95%CI=0.45,0.90). These analyses revealed several significant associations and allowed for separate analyses by gender, distinguishing this study from many glioma studies. Further analyses should provide a large enough sample size to stratify by gender as well as histological subtype.^

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Health departments, research institutions, policy-makers, and healthcare providers are often interested in knowing the health status of their clients/constituents. Without the resources, financially or administratively, to go out into the community and conduct health assessments directly, these entities frequently rely on data from population-based surveys to supply the information they need. Unfortunately, these surveys are ill-equipped for the job due to sample size and privacy concerns. Small area estimation (SAE) techniques have excellent potential in such circumstances, but have been underutilized in public health due to lack of awareness and confidence in applying its methods. The goal of this research is to make model-based SAE accessible to a broad readership using clear, example-based learning. Specifically, we applied the principles of multilevel, unit-level SAE to describe the geographic distribution of HPV vaccine coverage among females aged 11-26 in Texas.^ Multilevel (3 level: individual, county, public health region) random-intercept logit models of HPV vaccination (receipt of ≥ 1 dose Gardasil® ) were fit to data from the 2008 Behavioral Risk Factor Surveillance System (outcome and level 1 covariates) and a number of secondary sources (group-level covariates). Sampling weights were scaled (level 1) or constructed (levels 2 & 3), and incorporated at every level. Using the regression coefficients (and standard errors) from the final models, I simulated 10,000 datasets for each regression coefficient from the normal distribution and applied them to the logit model to estimate HPV vaccine coverage in each county and respective demographic subgroup. For simplicity, I only provide coverage estimates (and 95% confidence intervals) for counties.^ County-level coverage among females aged 11-17 varied from 6.8-29.0%. For females aged 18-26, coverage varied from 1.9%-23.8%. Aggregated to the state level, these values translate to indirect state estimates of 15.5% and 11.4%, respectively; both of which fall within the confidence intervals for the direct estimates of HPV vaccine coverage in Texas (Females 11-17: 17.7%, 95% CI: 13.6, 21.9; Females 18-26: 12.0%, 95% CI: 6.2, 17.7).^ Small area estimation has great potential for informing policy, program development and evaluation, and the provision of health services. Harnessing the flexibility of multilevel, unit-level SAE to estimate HPV vaccine coverage among females aged 11-26 in Texas counties, I have provided (1) practical guidance on how to conceptualize and conduct modelbased SAE, (2) a robust framework that can be applied to other health outcomes or geographic levels of aggregation, and (3) HPV vaccine coverage data that may inform the development of health education programs, the provision of health services, the planning of additional research studies, and the creation of local health policies.^

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The cross-sectional study was performed to quantify the prevalence of symtomatology in residents of mobile homes as a function of indoor formaldehyde concentration. Formaldehyde concentrations were monitored for a seven hour period with an automated wet-chemical colorimetric analyzer. The health status of family members was ascertained by administration of questionnaires and physical exams. This is the first investigation to perform clinical assessments on residents undergoing concurrent exposure assessment in the home.^ Only 22.8% of households eligible for participation chose to cooperate. Monitoring data and health evaluations were obtained from 155 households in four Texas counties. A total of 428 residents (86.1%) were available for examination during the sampling hours. The study population included 45 infants, 126 children, and 257 adults.^ Formaldehyde concentration was not found to be significantly associated with increased risks for symptoms and signs of ocular irritation, dermal anomalies, or malaise. Three associations were identified that warrant further investigation. The relative odds associated with a doubling of formaldehyde concentration was significantly associated with parenchymal rales in adults and children. However, risk was modified by log respirable suspended particulate concentrations. Due to the presence of modification by a continuous variable, prevalence odds ratios (POR) and 95% confidence intervals (95% CI) for these associations are presented in tables. A doubling of formaldehyde concentration was also associated with an increased risk of perceived tightness in the chest in adults. Prevalence odds ratios are presented in a table due to effect modification by the average number of hours spent indoors on weekdays. Furthermore, a doubling of formaldehyde concentration was associated with an increased risk of drowsiness in children (POR = 2.60; 95% CI 1.04-6.51) and adults (POR = 1.94; 95% CI 1.20-3.14). ^

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Current statistical methods for estimation of parametric effect sizes from a series of experiments are generally restricted to univariate comparisons of standardized mean differences between two treatments. Multivariate methods are presented for the case in which effect size is a vector of standardized multivariate mean differences and the number of treatment groups is two or more. The proposed methods employ a vector of independent sample means for each response variable that leads to a covariance structure which depends only on correlations among the $p$ responses on each subject. Using weighted least squares theory and the assumption that the observations are from normally distributed populations, multivariate hypotheses analogous to common hypotheses used for testing effect sizes were formulated and tested for treatment effects which are correlated through a common control group, through multiple response variables observed on each subject, or both conditions.^ The asymptotic multivariate distribution for correlated effect sizes is obtained by extending univariate methods for estimating effect sizes which are correlated through common control groups. The joint distribution of vectors of effect sizes (from $p$ responses on each subject) from one treatment and one control group and from several treatment groups sharing a common control group are derived. Methods are given for estimation of linear combinations of effect sizes when certain homogeneity conditions are met, and for estimation of vectors of effect sizes and confidence intervals from $p$ responses on each subject. Computational illustrations are provided using data from studies of effects of electric field exposure on small laboratory animals. ^

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A population-based case-control study of risk factors for ectopic pregnancy has been conducted. The investigation includes 274 cases diagnosed in Rochester, Minnesota residents from 1935 through 1982, and 548 matched controls selected from live birth deliveries. Risk factor information documented prior to the last index menstrual period was obtained via medical record abstract for 22 potential risk factor variables.^ Univariate matched analyses revealed nine variables with significantly elevated odds ratios (ORs). Following conditional logistic regression for matched sets, four variables remained as significant risk factors for ectopic pregnancy. These risk factors with ORs and 95% confidence intervals (Cls) were: current intrauterine device use (OR = 13.7, Cl = 1.6 - 120.6), infertility (OR = 2.6, Cl = 1.6 - 4.2), pelvic inflammatory disease (OR = 3.3, Cl = 1.6 - 6.6), and tubal surgery (OR = 4.5, Cl = 1.5 - 13.9). After adjusting for these four major risk factors, the following variables did not have statistically significant ORs: abdominal/pelvic surgery (OR = 2.0), acute appendicitis (OR = 2.0), anovulation (OR = 1.2), clomiphene citrate use during the index conception (OR = 3.5), induced abortion (OR = 2.1), in utero exposure to diethylstilbestrol (OR = 1.6), myomas (OR = 0.7), ovarian cysts (OR = 1.0), and past intrauterine device use (OR = 1.2). ^

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Tumor-specific chromosomal abnormalities have been demonstrated in bone marrow of approximately 50% of newly diagnosed acute nonlymphocytic (ANLL) patients. This study examined two hypotheses: (1) Aneuploid (AA) patients are diagnosed later in the course of their disease than diploid (NN) patients; and (2) AA patients are more likely to have been exposed to environmental agents. Of 324 patients eligible for study, environmental exposure data were obtained for 236 (73%) of them. No evidence was found to suggest that AA patients had more advanced disease than NN patients. Aneuploid patients were more likely than NN patients to: (a) report treatment with cytotoxic drugs for a prior medical condition (odds ratio, adjusted for age, sex and other exposures (OR) = 4.25, 95% confidence intervals, 1.38 to 13.17); (b) smoke cigarettes, OR = 1.82 (1.02, 3.26) and (c) drink alcoholic beverages, OR = 1.91 (1.05, 3.48). No statistically significant associations between aneuploidy and occupational exposures were present, OR = 3.59 (0.76, 17.13). Problems in interpreting these ORs are discussed. ^

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The effect of caffeine consumption on mortality was evaluated in a historical cohort study of 10064 hypertensive individuals participating in the Hypertension Detection and Follow-Up Program (HDFP) from 1973 to 1979. The study cohort was stratified into caffeine consumption groups (none, low, medium and high) based on their total level of caffeine intake from beverages (coffee and tea) and certain medications at the One-year follow-up home visit. Stratification was also made by sex, race, type of care and age. The total relative risks (RRs) when computed across strata for each caffeine consumer group (low, medium and high) were not significantly different when compared to the noncaffeine consumer group for all-cause or cause-specific mortality rates. The point estimates and 95 per cent confidence intervals for relative risks of all-cause mortality when compared to nonconsumers were as follows: Low = 0.82 (0.65-1.03), Medium: = 0.82 (0.62-1.82) and High = 0.90 (0.63-1.28). For all sex, race combinations there was an increase in the per cent of current smokers within each caffeine consumer group as the level of caffeine consumption increased. Cigarette smoking was an important confounder correlated with caffeine consumption and associated with mortality in this cohort. When confounding by cigarette smoking was adjusted for in the analysis, no association was found between the level of caffeine consumption and all-cause or cause-specific mortality. ^

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One of the difficulties in the practical application of ridge regression is that, for a given data set, it is unknown whether a selected ridge estimator has smaller squared error than the least squares estimator. The concept of the improvement region is defined, and a technique is developed which obtains approximate confidence intervals for the value of ridge k which produces the maximum reduction in mean squared error. Two simulation experiments were conducted to investigate how accurate these approximate confidence intervals might be. ^

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Invasive pneumococcal disease (IPD) causes significant health burden in the US, is responsible for the majority of bacterial meningitis, and causes more deaths than any other vaccine preventable bacterial disease in the US. The estimated National IPD rate is 14.3 cases per 100,000 population with a case-fatality rate of 1.5 cases per 100,000 population. Although cases of IPD are routinely reported to the local health department in Harris County Texas, the incidence (IR) and case-fatality (CFR) rates have not been reported. Additionally, it is important to know which serotypes of S. pneumoniae are circulating in Harris County Texas and to determine if ‘replacement disease’ is occurring. ^ This study reported incidence and case-fatality rates from 2003 to 2009, and described the trends in IPD, including the IPD serotypes circulating in Harris County Texas during the study period, particularly in 2008 and 2010. Annual incidence rates were calculated and reported for 2003 to 2009, using complete surveillance-year data. ^ Geographic information system (GIS) software was used to create a series of maps of the data reported during the study period. Cluster and outlier analysis and hot spot analysis were conducted using both case counts by census tract and disease rate by census tract. ^ IPD age- and race-adjusted IR for Harris County Texas and their 95% confidence intervals (CIs) were 1.40 (95% CI 1.0, 1.8), 1.71 (95% CI 1.24, 2.17), 3.13 (95% CI 2.48, 3.78), 3.08 (95% CI 2.43, 3.74), 5.61 (95% CI 4.79, 6.43), 8.11 (95% CI 7.11, 9.1), and 7.65 (95% CI 6.69, 8.61) for the years 2003 to 2009, respectively (rates were age- and race-adjusted to each year's midyear US population estimates). A Poisson regression model demonstrated a statistically significant increasing trend of about 32 percent per year in the IPD rates over the course of the study period. IPD age- and race-adjusted case-fatality rates (CFR) for Harris County Texas were also calculated and reported. A Poisson regression model demonstrated a statistically significant increasing trend of about 26 percent per year in the IPD case-fatality rates from 2003 through 2009. A logistic regression model associated the risk of dying from IPD to alcohol abuse (OR 4.69, 95% CI 2.57, 8.56) and to meningitis (OR 2.42, 95% CI 1.46, 4.03). ^ The prevalence of non-vaccine serotypes (NVT) among IPD cases with serotyped isolates was 98.2 percent. In 2008, the year with the sample more geographically representative of all areas of Harris County Texas, the prevalence was 96 percent. Given these findings, it is reasonable to conclude that ‘replacement disease’ is occurring in Harris County Texas, meaning that, the majority of IPD is caused by serotypes not included in the PCV7 vaccine. Also in conclusion, IPD rates increased during the study period in Harris County Texas.^

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Background: As obesity increases among U.S. workers, employers are implementing programs to increase physical activity and improve diets. Although programs to address individual determinants of obesity have been evaluated, less is known about the effects of workplace programs that change environmental factors, because most reviews have not isolated environmental programs; the one that did was published in 2005. ^ Objective: To update the 2005 review to determine the effectiveness of workplace environmental interventions. ^ Methods: The Medline database was searched for published English language reports (2003-2011) of randomized controlled (RCTs) or quasi-experimental trials (NRCTs) that evaluated strategies to modify physical activity opportunities or food services, targeting employees at least 18 years, not including retirees and that provided data for at least one physical activity, dietary, or health risk indicator. Three coders independently extracted study characteristics and scored the quality of study methods. Program effectiveness was determined using the 2005 review's best evidence approach. ^ Results: Seven studies represented in nine reports met eligibility criteria; three focused on diet and the remainder targeted diet and physical activity interventions. All but one study received a high quality score for internal validity. The evidence for the effectiveness of workplace environmental interventions was at best, inconclusive for diet and physical activity and limited for health risk indicators. The outcome constructs were inconsistent across the studies. ^ Conclusions: Limitations in the methods of the 2005 review made it challenging to draw conclusions about findings for this review that include: variation in outcome measures, reliance on distal measures without proximal behavior change measures, no distinction between changes at the workplace versus outside the workplace, and inappropriate analyses of cluster designs that biased findings toward statistical significance. The best evidence approach relied on vote-counting, using statistical significance alone rather than effect size and confidence intervals. Future research should address these limitations and use more rigorous methods; systematic reviews should use methods of meta-analysis to summarize study findings. These recommendations will help employers to better understand how environmental modifications in the workplace can support their efforts to combat the effects of obesity among employees.^

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This prospective observational cohort study investigated whether diabetic dental patients with poor glycemic control experience a higher risk of post-operative complications and diminished wound healing abilities after an oral surgical procedure such as implant placement. This study compared soft tissue oral wound healing complications between poorly controlled diabetic patients, well controlled diabetic patients and non-diabetic patients following surgical implant placement in the mandible with a total of 131 patients. A one week post-surgical follow-up visit involved an oral wound examination that consisted of evaluating for edema, erythema, exudate, oral pain, problems with flap closure, infection, and hematoma. Analyses were performed to determine significance differences in frequency of oral wound complications between the 3 diabetic groups. Two-by-two contingency tables using chi-square analysis were used to evaluate for significant differences in the proportion of each post-operative oral wound healing complication. This was done separately between non-diabetics and diabetics and between well-controlled and poorly controlled diabetics to calculate odds ratios. Confidence intervals were also calculated. This preliminary study showed that many of the complications were found not to be associated with diabetic status. Other complications such as edema and problems with flap closure were found to be less likely to occur in diabetics compared to non-diabetics and even in poorly controlled diabetics when compared to well-controlled diabetics. The results did not support the hypothesis that diabetic dental patients experience a higher risk than non-diabetic patients of post-operative soft tissue oral wound complications.^

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It has been well documented that inmates incarcerated in prisons and correctional facilities exhibit higher incidence and prevalence of mycobacterium tuberculosis (TB) disease than the general population. This has public health implications because correctional systems may serve as reservoirs for TB disease that can lead to TB outbreaks in the facilities or can be spread to the general public once inmates are released. Although Texas has one of the largest correctional systems in both the US and the world, little is known about TB prevalence and incidence among Texas inmates. The purpose of this study was to elucidate the relationship between TB incidence and incarceration in Texas correctional facilities and investigate differences in various demographic factors. ^ The study used the national TB database from the US Centers for Disease Control and Prevention (CDC) to calculate and compare the overall incidences of TB disease among correctional facility inmates and similar non-inmates in Texas during 2005–2009. Data were also stratified by age, gender, race/ethnicity, birth status, and HIV status and compared between inmates and non-inmates using chi-squared analysis and relative risks with 95% confidence intervals to assess any significant differences. ^ Results suggest that the overall TB incidence among Texas correctional facility inmates per year (88.6 per 100,000) was significantly higher than that of Texas non-inmates (6.3 per 100,000); a 14 fold difference. Relative risk analyses by gender, race/ethnicity, and those with HIV infection found that the TB incidences for all these demographics were significantly and consistently higher in inmates compared to non-inmates. In particular, Hispanic inmates were more likely to develop TB than their non-inmate counterparts by a relative risk of 23.9 (95% CI 19.4–29.4). Likewise, both male and female inmates were more likely to develop TB than non-inmates (RR = 10.2, 95% CI 8.5–12.2; RR = 20.8, 95% CI 12.2–25.3, respectively), although female inmates unconventionally exhibited a higher TB incidence and relative risk than males inmates, which has not been shown. Among those with HIV infections, correctional facility inmates were 2.6 times were likely to develop TB disease than non-inmates (95% CI 1.5–4.4). ^ Inmates in Texas correctional facilities have a higher incidence of TB than non-inmates. Part of this higher risk may be because a large proportion of inmates come from populations already at high risks for TB, such as foreign born immigrants, those infected with HIV, and low SES groups such as many racial/ethnic minorities. Thus, these results may be used as a basis for more controlled and detailed research in the area, and to further characterize incarceration as a risk factor for TB incidence. They may also bring much needed attention about this health disparity to public health officials, legislators, and health administrators to expand and improve TB control in Texas correctional facilities, particularly among inmates released to the community, and reduce the risk of TB transmission to the general population.^