935 resultados para Secondary Data
Resumo:
Research has indicated that day laborers engage in higher risk occupations and suffer a high number of occupationally related fatal and non-fatal injuries. Although there have been some studies focusing on immigrant workers and their occupational injuries, none to our knowledge has studied Houston’s day laborers. An exploratory study of Houston’s day laborer population was conducted in 2008 by Dr. Fernández-Esquer from the University of Texas. ^ The aims of the current study are to analyze secondary data from this parent study and describe the prevalence of the self reported occupational injuries among Houston immigrant day laborers seeking work during the months of October through December 2008. The study also aims to determine if the reported injuries varied by age group, education level, length of time living in the U.S. and length of time working as day laborers and describe if injuries were more common by the number of different job types or job conditions reported or the use of personal protective equipment used (PPE). ^ This study analyzed 325 questionnaires that included job-related information from the parent study. One hundred and nine workers (35 %) reported an occupational injury or illness in the year before the interview. The most frequent injuries or illnesses reported were falls (26.7 %), cuts and lacerations (23.3 %) and being struck by an object (18.3 %). Over half of the workers (57 %) reported working 4 to 6 different jobs in the year before the interview, followed by 22.5 % reporting 1 to 3 different jobs. A combined 79 % of day laborers in Houston reported exposure to 7 or more of the job conditions listed and 69 % of those workers also reported an injury or illness. PPE use varied from 44 % of workers reporting using 4 to 6 PPE items to 6.8 % reporting not using any type of PPE. Thirty two percent of workers reporting not using any PPE also reported an injury or illness. ^ Injuries were found not to have varied significantly by age group, time living in the US, time working as a day laborer, numbers of different job types and the number of PPE used. Injuries did vary significantly by education level of the participants and the number of different job conditions reported (education, X2 (4, N = 315) = 12.651, p =0.013; and job conditions, X2 (3, N = 319) = 14.698, p = 0.002). ^ Although this first study of Houston’s day laborers was successful at engaging the population and getting background information regarding the occupational health of these workers, more studies are needed to further characterize the day laborers occupational experiences and injuries along with determining what specific job types and job conditions were present when injuries occurred and what kind of PPE was being used at the time. It is also clear that these workers need better safety training programs regarding working in potentially dangerous jobs and job conditions. They would also benefit from programs that would help empower them to negotiate for safer conditions.^
Resumo:
Objective: In this secondary data analysis, three statistical methodologies were implemented to handle cases with missing data in a motivational interviewing and feedback study. The aim was to evaluate the impact that these methodologies have on the data analysis. ^ Methods: We first evaluated whether the assumption of missing completely at random held for this study. We then proceeded to conduct a secondary data analysis using a mixed linear model to handle missing data with three methodologies (a) complete case analysis, (b) multiple imputation with explicit model containing outcome variables, time, and the interaction of time and treatment, and (c) multiple imputation with explicit model containing outcome variables, time, the interaction of time and treatment, and additional covariates (e.g., age, gender, smoke, years in school, marital status, housing, race/ethnicity, and if participants play on athletic team). Several comparisons were conducted including the following ones: 1) the motivation interviewing with feedback group (MIF) vs. the assessment only group (AO), the motivation interviewing group (MIO) vs. AO, and the intervention of the feedback only group (FBO) vs. AO, 2) MIF vs. FBO, and 3) MIF vs. MIO.^ Results: We first evaluated the patterns of missingness in this study, which indicated that about 13% of participants showed monotone missing patterns, and about 3.5% showed non-monotone missing patterns. Then we evaluated the assumption of missing completely at random by Little's missing completely at random (MCAR) test, in which the Chi-Square test statistic was 167.8 with 125 degrees of freedom, and its associated p-value was p=0.006, which indicated that the data could not be assumed to be missing completely at random. After that, we compared if the three different strategies reached the same results. For the comparison between MIF and AO as well as the comparison between MIF and FBO, only the multiple imputation with additional covariates by uncongenial and congenial models reached different results. For the comparison between MIF and MIO, all the methodologies for handling missing values obtained different results. ^ Discussions: The study indicated that, first, missingness was crucial in this study. Second, to understand the assumptions of the model was important since we could not identify if the data were missing at random or missing not at random. Therefore, future researches should focus on exploring more sensitivity analyses under missing not at random assumption.^
Resumo:
Multiple studies have shown an association between periodontitis and coronary heart disease due to the chronic inflammatory nature of periodontitis. Also, studies have indicated similar risk factors and patho-physiologic mechanisms for periodontitis and CHD. Among these factors, smoking has been the most discussed common risk factor and some studies suggested the periodontitis - CHD association to be largely a result of confounding due to smoking or inadequate adjustment for it. We conducted a secondary data analysis of the Dental ARIC Study, an ancillary study to the ARIC Study, to evaluate the effect of smoking on the periodontitis - CHD association using three periodontitis classifications namely, BGI, AAP-CDC, and Dental-ARIC classification (Beck et al 2001). We also compared these results with edentulous ARIC participants. Using Cox proportional hazard models, we found that the individuals with the most severe form of periodontitis in each of the three classifications (BGI: HR = 1.56, 95%CI: 1.15 – 2.13; AAP-CDC: HR = 1.42, 95%CI: 1.13 – 1.79; and Dental-ARIC: HR = 1.49, 95%CI: 1.22 – 1.83) were at a significantly higher risk of incident CHD in the unadjusted models; whereas only BGI-P3 showed statistically significant increased risk in the smoking adjusted models (HR = 1.43, 95%CI: 1.04 – 1.96). However none of the categories in any of the classifications showed significant association when a list of traditional CHD risk factors was introduced into the models. On the other hand, edentulous participants showed significant results when compared to the dentate ARIC participants in the crude (HR = 1.56, 95%CI: 1.34 – 1.82); smoking adjusted (HR = 1.39, 95%CI: 1.18 – 1.64) age, race and sex adjusted (HR = 1.52, 95%CI: 1.30 – 1.77); and ARIC traditional risk factors (except smoking) adjusted (HR = 1.27, 95%CI: 1.02 – 1.57) models. Also, the risk remained significantly higher even when smoking was introduced in the age, sex and race adjusted model (HR = 1.38, 95%CI: 1.17 – 1.63). Smoking did not reduce the hazard ratio by more than 8% when it was included in any of the Cox models. ^ This is the first study to include the three most recent case definitions of periodontitis simultaneously while looking at its association with incident coronary heart disease. We found smoking to be partially confounding the periodontitis and coronary heart disease association and edentulism to be significantly associated with incident CHD even after adjusting for smoking and the ARIC traditional risk factors. The difference in the three periodontitis classifications was not found to be statistical significant when they were tested for equality of the area under their ROC curves but this should not be confused with their clinical significance.^
Resumo:
To reach the goals established by the Institute of Medicine (IOM) and the Centers for Disease Control's (CDC) STOP TB USA, measures must be taken to curtail a future peak in Tuberculosis (TB) incidence and speed the currently stagnant rate of TB elimination. Both efforts will require, at minimum, the consideration and understanding of the third dimension of TB transmission: the location-based spread of an airborne pathogen among persons known and unknown to each other. This consideration will require an elucidation of the areas within the U.S. that have endemic TB. The Houston Tuberculosis Initiative (HTI) was a population-based active surveillance of confirmed Houston/Harris County TB cases from 1995–2004. Strengths in this dataset include the molecular characterization of laboratory confirmed cases, the collection of geographic locations (including home addresses) frequented by cases, and the HTI time period that parallels a decline in TB incidence in the United States (U.S.). The HTI dataset was used in this secondary data analysis to implement a GIS analysis of TB cases, the locations frequented by cases, and their association with risk factors associated with TB transmission. ^ This study reports, for the first time, the incidence of TB among the homeless in Houston, Texas. The homeless are an at-risk population for TB disease, yet they are also a population whose TB incidence has been unknown and unreported due to their non-enumeration. The first section of this dissertation identifies local areas in Houston with endemic TB disease. Many Houston TB cases who reported living in these endemic areas also share the TB risk factor of current or recent homelessness. Merging the 2004–2005 Houston enumeration of the homeless with historical HTI surveillance data of TB cases in Houston enabled this first-time report of TB risk among the homeless in Houston. The homeless were more likely to be US-born, belong to a genotypic cluster, and belong to a cluster of a larger size. The calculated average incidence among homeless persons was 411/100,000, compared to 9.5/100,000 among housed. These alarming rates are not driven by a co-infection but by social determinants. The unsheltered persons were hospitalized more days and required more follow-up time by staff than those who reported a steady housing situation. The homeless are a specific example of the increased targeting of prevention dollars that could occur if TB rates were reported for specific areas with known health disparities rather than as a generalized rate normalized over a diverse population. ^ It has been estimated that 27% of Houstonians use public transportation. The city layout allows bus routes to run like veins connecting even the most diverse of populations within the metropolitan area. Secondary data analysis of frequent bus use (defined as riding a route weekly) among TB cases was assessed for its relationship with known TB risk factors. The spatial distribution of genotypic clusters associated with bus use was assessed, along with the reported routes and epidemiologic-links among cases belonging to the identified clusters. ^ TB cases who reported frequent bus use were more likely to have demographic and social risk factors associated with poverty, immune suppression and health disparities. An equal proportion of bus riders and non-bus riders were cultured for Mycobacterium tuberculosis, yet 75% of bus riders were genotypically clustered, indicating recent transmission, compared to 56% of non-bus riders (OR=2.4, 95%CI(2.0, 2.8), p<0.001). Bus riders had a mean cluster size of 50.14 vs. 28.9 (p<0.001). Second order spatial analysis of clustered fingerprint 2 (n=122), a Beijing family cluster, revealed geographic clustering among cases based on their report of bus use. Univariate and multivariate analysis of routes reported by cases belonging to these clusters found that 10 of the 14 clusters were associated with use. Individual Metro routes, including one route servicing the local hospitals, were found to be risk factors for belonging to a cluster shown to be endemic in Houston. The routes themselves geographically connect the census tracts previously identified as having endemic TB. 78% (15/23) of Houston Metro routes investigated had one or more print groups reporting frequent use for every HTI study year. We present data on three specific but clonally related print groups and show that bus-use is clustered in time by route and is the only known link between cases in one of the three prints: print 22. (Abstract shortened by UMI.)^
Resumo:
Objective: My study aimed at determining the association between obesity and diabetes prevalence in South Asian Indian immigrants in Houston, Texas. To also compare the prevalence odds of diabetes given obesity, using WHO-BMI criteria and recommended Asian ethnic-specific BMI criteria for obesity, as well as using WHO-standard waist circumference criteria and ethnic-specific criteria for abdominal obesity, across gender and age, in this population. ^ Methods: My study was a secondary data analysis based on a cross-sectional study carried out on adult South Asian Indians who attended a local community health fair in Houston, in 2007. They recruited 213 voluntary, eligible, South Asian Indian participants aged between 18 to 79 years. Self reported history of Diabetes was obtained and height, weight, waist and hip circumference were measured. I classified BMI based on WHO-standard and ethnic-specific criteria, according to gender and age groups of 18–35 years, 36–64 years and 65 years and over. Waist circumference was also classified based on WHO-standard NCEP criteria and currently recommended ethnic-specific IDF criteria and analysis was done stratifying by gender and age groups. ^ Results: The prevalence of diabetes in this population was 14.6%, significantly higher in older age groups (25.8%) and males (19.2%). The prevalence of DM was statistically similar in individuals who were overweight/obese compared to those not overweight/obese, however in overweight/obese individuals, there was a statistically significant difference in the prevalence of DM between WHO and ethnic-specific criteria for both BMI and waist circumference. In older adults and in males, ethnic-specific criteria identified significantly more as overweight/obese compared to WHO-standard criteria. ^ Conclusions: Ethnic-specific criteria for both BMI and waist circumference give a better estimate for obesity in this South Asian Indian population. Diabetes is highly prevalent in migrant South Asian Indians even at low BMI or waist circumference levels and significantly more in males and older age groups, hence adequate awareness should be created for early prevention and intervention.^
Resumo:
Objectives. Obesity is a growing problem in the United States among children. Great efforts are being made to target this problem, both at home and at school. While parents and peers have proven an effective means of distributing information, the well of the influence of teacher encouragement of health behaviors remains untapped. The purpose of this study is to assess the association of teacher encouragement with diet and physical activity behaviors and obesity in a sample of eighth grade students in central Texas. ^ Methods. In the spring of 2011, the Coordinated Approach to Child Health (CATCH) study distributed teacher surveys to each of the teachers in the schools on the grant. In addition to questions concerning the implementation of CATCH, this survey employed social support questions to gauge the prevalence of teacher encouragement of health behaviors in the classroom. During the same time frame, eighth graders in these same schools completed student surveys which assessed dietary and physical activity knowledge and behaviors and demographics and participated in objective measures of student height and weight. A cross-sectional secondary data analysis was conducted in order to compare self-reported teacher encouragement to student behaviors and several student obesity measures on a by school basis. ^ Results. 1150 teachers and 2582 students from 29 of the 30 measurement schools returned completed surveys. No statistically significant relationship was found between the six teacher encouragement measures and their corresponding student reported health behaviors, nor was one found the mean support per school and child percent overweight. A menial positive relationship was found between the mean support per school and child BMI z-scores, BMI, and percent obese (p = 0.035, 0.003 and 0.003, respectively); however, these relationships were not in the predicted direction. ^ Conclusion. While the findings of this investigation show primarily null results, motivating questions as to the impact to teacher encouragement on middle school student's health remain. It is possible that in order to draw more effective conclusions, more comprehensive studies are warranted which specifically target these relationships.^
Resumo:
Left ventricular outflow tract (LVOT) defects are an important group of congenital heart defects (CHDs) because of their associated mortality and long-term complications. LVOT defects include aortic valve stenosis (AVS), coarctation of aorta (CoA), and hypoplastic left heart syndrome (HLHS). Despite their clinical significance, their etiology is not completely understood. Even though the individual component phenotypes (AVS, CoA, and HLHS) may have different etiologies, they are often "lumped" together in epidemiological studies. Though "lumping" of component phenotypes may improve the power to detect associations, it may also lead to ambiguous findings if these defects are etiologically distinct. This is due to potential for effect heterogeneity across component phenotypes. ^ This study had two aims: (1) to identify the association between various risk factors and both the component (i.e., split) and composite (i.e., lumped) LVOT phenotypes, and (2) to assess the effect heterogeneity of risk factors across component phenotypes of LVOT defects. ^ This study was a secondary data analysis. Primary data were obtained from the Texas Birth Defect Registry (TBDR). TBDR uses an active surveillance method to ascertain birth defects in Texas. All cases of non complex LVOT defects which met our inclusion criteria during the period of 2002–2008 were included in the study. The comparison groups included all unaffected live births for the same period (2002–2008). Data from vital statistics were used to evaluate associations. Statistical associations between selected risk factors and LVOT defects was determined by calculating crude and adjusted prevalence ratio using Poisson regression analysis. Effect heterogeneity was evaluated using polytomous logistic regression. ^ There were a total of 2,353 cases of LVOT defects among 2,730,035 live births during the study period. There were a total of 1,311 definite cases of non-complex LVOT defects for analysis after excluding "complex" cardiac cases and cases associated with syndromes (n=168). Among infant characteristics, males were at a significantly higher risk of developing LVOT defects compared to females. Among maternal characteristics, significant associations were seen with maternal age > 40 years (compared to maternal age 20–24 years) and maternal residence in Texas-Mexico border (compared to non-border residence). Among birth characteristics, significant associations were seen with preterm birth and small for gestation age LVOT defects. ^ When evaluating effect heterogeneity, the following variables had significantly different effects among the component LVOT defect phenotypes: infant sex, plurality, maternal age, maternal race/ethnicity, and Texas-Mexico border residence. ^ This study found significant associations between various demographic factors and LVOT defects. While many findings from this study were consistent with results from previous studies, we also identified new factors associated with LVOT defects. Additionally, this study was the first to assess effect heterogeneity across LVOT defect component phenotypes. These findings contribute to a growing body of literature on characteristics associated with LVOT defects. ^
Resumo:
Clinical trials are often not successful because of the inability to recruit a sufficient number of patients. The Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT), the largest antihypertensive trial ever conducted, provided highly generalized results and successful recruitment of over 42,000 participants. The overall purpose of this study was to examine the association of investigator characteristics with anti-hypertensive (AHT) participant recruitment in ALLHAT. This secondary data analyses collected data from the ALLHAT investigator profile survey and related investigator characteristics to recruitment success. The sample size was 502 investigators, with recruitment data from 37,947AHT participants. Recruitment was dichotomized by categorizing all sites with recruitment numbers at or above the overall median recruitment number of 46 as "Successful Recruitment". Frequency distributions and univariate and multivariate logistic regression were conducted. When adjusting for all other factors, Hispanic ethnicity, suburban setting, Department of Veterans Affairs Medical Centers (VAMC) site type, number of clinical site staff working on the trial, study coordinator hours per week, medical conference sessions attended, the investigator's primary goal and the likelihood that a physician will convince a patient to continue on randomized treatment, have significant impacts on the recruitment success of ALLHAT investigators. Most of the ALLHAT investigators described their primary commitment as being towards their patients and not to scientific knowledge alone. However, investigators that distinguished themselves as leaders in research had greater recruitment success than investigators who were leaders in clinical practice. ALLHAT was a highly successful trial that proved that community based cardiovascular trials can be implemented on a large scale. Exploring characteristics of ALLHAT investigators provides data that can be generalized to sponsors, sites, and others interested in maximizing clinical trial recruitment numbers. Future studies should further evaluate investigator and study coordinator factors that impact cardiovascular clinical trial recruitment success.^
Resumo:
The purpose of this thesis was to investigate the association between parent acculturation and parental fruit and vegetable intake, child fruit and vegetable intake, and child access and availability to fruits and vegetables. Secondary data analysis was performed on a convenience sample of low-income Hispanic-identifying parents (n = 177) and children from a baseline survey from the Sprouting Healthy Kids intervention. T tests were used to examine the association between parent acculturation status (acculturated or non-acculturated) and fruit intake, vegetable intake and combined fruit and vegetable intake of both the parent and the child. T tests were also used to determine the relationship between parent acculturation and child access and availability to fruits, vegetables, and combined fruits and vegetables. Statistical significance was set at a p level of 0.05. The mean FVI for the parents and children were 3.41 servings and 2.96 servings, respectively. Statistical significance was found for the relationships between parent acculturation and parent fruit intake and parent acculturation and child fruit access. Lower acculturation of the parent was significantly related to higher fruit intake. Counter to the hypothesis, higher acculturation was found to be associated with greater access to fruits for the child. These findings suggest the necessity for not only culturally specific nutrition interventions, but the need for interventions to target behaviors for specific levels of acculturation within a culture. ^
Resumo:
Introduction: Both a systems approach to change and a focus on multi-sector interventions ensures obesity prevention programming within the community is equitable, sustainable, and cost-effective. An authentic community engagement approach is required to implement interventions guided by best-evidence research and practice. Although there are examples illustrating the benefits of community engagement, there is no standardized method to implement it. The San Antonio Sports Foundation (SA Sports), a non-profit community-based organization, implements a variety of free events and programs promoting active life styles. One such program is the Fit Family Challenge which is a summer-long program implemented at the school level targeted at families. ^ Aims: This thesis was a culmination of the experience from the student collaborating with SA Sports as part of a practicum opportunity. Using secondary data collected by the Fit Family Challenge during the 2011 year, the goals of this thesis were: to assess individual changes; evaluate short-term impact; and describe the community engagement process. ^ Methods: SA Sports collected quantitative and qualitative data during the implementation and evaluation of the FFC program. SA Sports allowed the used of de-identified data to be analyzed to study the aims of this thesis. ^ Results: The program was able to provide families with the knowledge, information, and opportunity to exercise as a family and cook healthier meals. School district coordinators were generally satisfied and illustrated the benefits of a community partnership. An authentic community engagement was present highlighting the importance of communication, collaboration and the sustainability of such partnerships in the community. ^ Conclusion: The success of an obesity program should focus on triggers that initiate behavioral change rather than physiological changes. The evaluation was guided by a community engagement approach, which illustrated the development of new partnerships and the strengthening of other collaborations. Ultimately, the engagement approach empowered the community to identify their own problems and build collaboration, rather than tackling obesity prevention alone. ^
Resumo:
Habitual consumption of sugar-sweetened beverages (SSB) has been reliably linked to obesity in adolescents. A wide variety of beverages sweetened with sugar are available to this population. The objective of this secondary data analysis was to assess the consumption of SSB by category and to identify behaviors that occur concurrently with the consumption of soda, sport drinks and fruit-flavored drinks in high school students. The analysis used self-reported survey data from 97 adolescents ages 14 to 18. SSB categories considered in the consumption analysis included regular soda, sports drinks, fruit-flavored drinks (FFD), iced tea, coffee drinks and energy drinks. The mean weekly sweetened beverage load in this population, calculated from the frequency and amount of consumption, was 145 ounces when all categories were considered. When SSB categories were considered independently, sports drinks (45 oz.) had the highest contribution to the mean sweetened beverage load followed by FFD (41 oz.), iced tea (27 oz.), soda (26 oz.) coffee drinks (15 oz.) and energy drinks (2 oz.). Sweetened beverage load was higher in boys (151 oz.) than girls (138 oz.) and was highest in Hispanics (159 oz.) followed by whites (152 oz.), blacks (137 oz.) and others (104 oz.). Behaviors that occurred on a usual basis during SSB consumption included watching TV, eating a family meal, eating salty and fried foods, being on the computer and hanging out with friends. Activities concurrent with sports drink consumption included physical activity behaviors whereas soda and FFD did not. Sports drink and FFD consumption commonly co-occurred with fruit consumption. Multiple SSB categories contribute to the total SSB consumption and the common dietary and activity behaviors are distinct between categories. Several of the concurrent behaviors point to the importance of home beverage availability, and to the influence that parents and peers have on SSB consumption. Identifying and assessing intervention strategies targeted to specific beverage categories could be an important step in behavioral intervention research aimed at reducing added sugar consumption, and ultimately, promote a healthy weight in adolescents. ^
Resumo:
Objectives: This study included two overarching objectives. Through a systematic review of the literature published between 1990 and 2012, the first objective aimed to assess whether insuring the uninsured would result in higher costs compared to insuring the currently insured. Studies that quantified the actual costs associated with insuring the uninsured in the U.S. were included. Based upon 2009 data from the Medical Expenditure Panel Survey (MEPS), the second objective aimed to assess and compare the self-reported health of populations with four different insurance statuses. The second part of this study involved a secondary data analysis of both currently insured and currently uninsured individuals who participated in the MEPS in 2009. The null hypothesis was that there were no differences across the four categories of health insurance status for self-reported health status and healthcare service use. The alternative hypothesis was that were differences across the four categories of health insurance status for self-reported health status and healthcare service use. Methods: For the systematic review, three databases were searched using search terms to identify studies that actually quantified the cost of insuring the uninsured. Thirteen studies were selected, discussed, and summarized in tables. For the secondary data analysis of MEPS data, this study compared four categories of health insurance status: (1) currently uninsured persons who will become eligible for Medicaid under the Patient Protection and Affordable Care Act (PPACA) healthcare reforms in 2014; (2) currently uninsured persons who will be required to buy private insurance through the PPACA health insurance exchanges in 2014; (3) persons currently insured under Medicaid or SCHIP; and (4) persons currently insured with private insurance. The four categories were compared on the basis of demographic information, health status information, and health conditions with relatively high prevalence. Chi-square tests were run to determine if there were differences between the four groups in regard to health insurance status and health status. With some exceptions, the two currently insured groups had worse self-reported health status compared to the two currently uninsured groups. Results: The thirteen studies that met the inclusion criteria for the systematic review included: (1) three cost studies from 1993, 1995, and 1997; (2) four cost studies from 2001, 2003, and 2004; (3) one study of disabilities and one study of immigrants; (4) two state specific studies of uninsured status; and (5) two current studies of healthcare reform. Of the thirteen studies reviewed, four directly addressed the study question about whether insuring the uninsured was more or less expensive than insuring the currently insured. All four of the studies provided support for the study finding that the cost of insuring the uninsured would generally not be higher than insuring those already insured. One study indicated that the cost of insuring the uninsured would be less expensive than insuring the population currently covered by Medicaid, but more expensive to insure than the populations of those covered by employer-sponsored insurance and non-group private insurance. While the nine other studies included in the systematic review discussed the costs associated with insuring the uninsured population, they did not directly compare the costs of insuring the uninsured population with the costs associated with insuring the currently insured population. For the MEPS secondary data analysis, the results of the chi-square tests indicated that there were differences in the distribution of disease status by health insurance status. As anticipated, with some exceptions, the uninsured reported lower rates of disease and healthcare service use. However, for the variable attention deficit disorder, the uninsured reported higher disease rates than the two insured groups. Additionally, for the variables high blood pressure, high cholesterol, and joint pain, the currently insured under Medicaid or SCHIP group reported a lower rate of disease than the two currently insured groups. This result may be due to the lower mean age of the currently insured under Medicaid or SCHIP group. Conclusion: Based on this study, with some exceptions, the costs for insuring the uninsured should not exceed healthcare-related costs for insuring the currently uninsured. The results of the systematic review indicated that the U.S. is already paying some of the costs associated with insuring the uninsured. PPACA will expand health insurance coverage to millions of Americans who are currently uninsured, as the individual mandate and insurance market reforms will require. Because many of the currently uninsured are relatively healthy young persons, the costs associated with expanding insurance coverage to the uninsured are anticipated to be relatively modest. However, for the purposes of construing these results, it is important to note that once individuals obtain insurance, it is anticipated that they will use more healthcare services, which will increase costs. (Abstract shortened by UMI.)^
Resumo:
Background: Cancer is the second-leading cause of death in the United States, and Asian Americans/Pacific Islanders are the only racial/ethnic group for which cancer is the leading cause of death. Regular cancer screenings help to identify precancerous lesions and cancer at an earlier stage, when the cancer is more treatable. Ethnic disparities in participation in cancer screenings are also striking, and evidence indicates that Asian Americans may have lower rates of cancer screening participation than other racial/ethnic groups. The Health of Houston Survey 2010 (HHS 2010) is an address-based survey, administered via telephone, website, and mail, of over 5,000 respondents in Houston and Harris County that provides recent data on the health status and needs of the Houston community. HHS 2010 researchers oversampled for Asians and Vietnamese Americans in order to obtain a sample size large enough to obtain statistical power. This dataset provides a unique opportunity to examine the cancer screening behaviors and predictors of Vietnamese and Chinese Americans living in Houston, Texas.^ Methods: This study was a secondary data analysis of HHS 2010 data. The data were analyzed to compare the breast, cervical, and colorectal cancer screening compliance rates of Vietnamese and Chinese Americans with other racial/ethnic groups in Houston, Texas. Key predictors of participation and barriers to cancer screening were identified.^ Results: The results of this study indicate that in Houston, Vietnamese Americans and Asian Americans as a whole have strikingly lower rates of participation in cancer screenings compared to other ethnic groups. Chinese Americans had the highest rate of noncompliance for mammography of all ethnic groups; Asian Americans and Vietnamese Americans also had high rates of noncompliance. Similarly, Vietnamese and Asian Americans had high rates of noncompliance with colorectal cancer screening recommendations. Importantly, Vietnamese, Chinese, and Asian Americans had by far the worst pap test participation, with noncompliance rates more than double that of all other racial/ethnic groups. In general, the findings indicated several key predictors in cancer screening behaviors, including English language proficiency, years lived in the United States, health insurance, college education, and income; however, the significance and patterns of these variables varied by ethnic group as well as cancer site.^ Conclusions: This secondary analysis highlights the disparities in cancer screening participation among Vietnamese, Chinese, and Asian Americans in Houston, Texas and indicate the need to identify Asian Americans as a high-risk group in need of health promotion attention. Barriers to screening and educational needs appear to be specific to each target ethnic group. Thus, health educators and health professionals in Houston must focus on the specific educational needs of the key ethnic groups that make up the Houston population. Further, more ethnic-specific research is needed to examine the health behaviors and needs of Houston's Asian American subgroups.^
Resumo:
The main aim of this study was to look at the association of Clostridium difficile infection (CDI) and HIV. A secondary goal was to look at the trend of CDI-related deaths in Texas from 1999-2011. To evaluate the coinfection of CDI and HIV, we looked at 2 datasets provided by CHS-TDSHS, for 13 years of study period from 1999-2011: 1) Texas death certificate data and 2) Texas hospital discharge data. An ancillary source of data was national level death data from CDC. We did a secondary data analysis and reported the age-adjusted death rates (mortality) and hospital discharge frequencies (morbidity) for CDI, HIV and for CDI+HIV coinfection.^ Since the turn of the century, CDI has reemerged as an important public health challenge due to the emergence of hypervirulent epidemic strains. From 1999-2011, there has been a significant upward trend in CDI-related death rates; in the state of Texas alone, CDI mortality rate has increased 8.7 fold in this time period at the rate of 0.2 deaths per year per 100,000 individuals. On the contrary, mortality due to HIV has decreased by 46% and has been trending down. The demographic groups in Texas with the highest CDI mortality rates were elderly aged 65+, males, whites and hospital inpatients. The epidemiology of C. difficile has changed in such a way that it is not only staying confined to these traditional high-risk groups, but is also being increasingly reported in low-risk populations such as healthy people in the community (community acquired C. difficile), and most recently immunocompromised patients. Among the latter, HIV can worsen the adverse health outcomes of CDI and vice versa. In patients with CDI and HIV coinfection, higher mortality and morbidity was found in young & middle-aged adults, blacks and males, the same demographic population that is at higher risk for HIV. As with typical CDI, the coinfection was concentrated in the hospital inpatients. Of all the CDI-related deaths in USA from 1999-2010, in the 25-44 year age group, 13% had HIV infection. Of all CDI-related inpatient hospital discharges in Texas from 1999-2011, in patients 44 years and younger, 17% had concomitant HIV infection. Therefore, HIV is a possible novel emerging risk factor for CDI.^
Resumo:
The current study is a secondary data analysis of a prospective cohort study that examined demographic and psychosocial variables and their associations with physical activity levels in Mexican-American adolescents in Houston, Texas. Body image, subjective social status, and anxiety were the main variables of interest. The sample included 952 unrelated Mexican-American adolescents in Houston, Texas. The majority (84.2%) of the study population did not meet physical activity standards prescribed by the CDC.^ In a multivariate model controlling for age, socioeconomic status, gender, general body image, preferred body image, subjective social status, and anxiety, gender and subjective social status were found to be the strongest determinants of physical activity levels. Males and those with a high subjective social status were more likely to participate in physical activity than those with low subjective status. Lower levels of anxiety and a more positive body image were also found to be associated with higher levels of physical activity. In multivariate analyses gender and subjective social status showed the strongest associations with physical activity.^