5 resultados para Rochester Transit Company.

em DigitalCommons@The Texas Medical Center


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The Renin-Angiotensin system (RAS) regulates blood pressure through its effects on vascular tone, renal hemodynamics, and renal sodium and fluid balance. The genes encoding the four major components of the RAS, angiotensinogen, renin, angiotensin I-converting enzyme (ACE), and angiotensin II receptor type 1 (AT1), have been investigated as candidate genes in the pathogenesis of essential hypertension. However, studies have primarily focused on small samples of diseased individuals, and, therefore, have provided little information about the determinants of interindividual variation in blood pressure (BP) in the general population.^ Using data from a large population-based sample from Rochester, MN, I have evaluated the contribution of variation in the region of the RAS genes to interindividual variation in systolic, diastolic, and mean arterial pressure in the population-at-large. Marker genotype data from four polymorphisms located within or very near these genes were first collected on 3,974 individuals from 583 randomly ascertained three-generation pedigrees. Haseman-Elston regression and variance component methods of linkage analysis were then carried out to estimate the proportion of interindividual variance in BP attributable to the effects of variation at these four measured loci.^ A significant effect of the ACE locus on interindividual variation in mean arterial pressure (MAP) was detected in a sample of siblings belonging to the youngest generation. After allowing for measured covariates, this effect accounted for 15-25% of the interindividual variance in MAP, and was even greater in a subset with a positive family history of hypertension. When gender-specific analyses were carried out, this effect was significant in males but not in females. Extended pedigree analyses also provided evidence for an effect of the ACE locus on interindividual variation in MAP, but no difference between males and females was observed. Circumstantial evidence suggests that the ACE gene itself may be responsible for the observed effects on BP, although the possibility that other genes in the region may be at play cannot be excluded.^ No definitive evidence for an effect of the renin, angiotensinogen, or AT1 loci on interindividual variation in BP was obtained in this study, suggesting that the impact of these genes on BP may not be great in the Caucasian population-at-large. However, this does not preclude a larger effect of these genes in some subsets of individuals, especially among those with clinically manifest hypertension or coronary heart disease, or in other populations. ^

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The primary objectives of the study were to measure the incidence of pelvic endometriosis among white females of reproductive age (15-49 years) in Rochester, Minnesota, during the period 1970-1979 and to determine the risk of endometriosis by age, marital status, nun status, and educational attainment in this population. An historical prospective design was used. Incident (newly diagnosed) cases were identified from community medical records, and person-years of risk in the study population were estimated from census data.^ Almost two-thirds of the incident cases had surgically verified endometriosis, while the remainder were diagnosed by clinical findings alone. Incidence rates were prepared first with histologically confirmed cases only and then with the successive inclusion of less certain cases: surgically visualized, clinically probable, and clinically possible. On this basis, overall incidence rates were 108.8 to 246.9 newly diagnosed cases per 100,000 person-years. The incidence of pelvic endometriosis was lowest for women 15-19 years of age, increased markedly through age 44, and then declined for women 45-49 years of age. A significantly greater risk of pelvic endometriosis in never married women was detected only when the numerator was limited to histologically confirmed cases. Among never married women 20-49 years of age, no significant difference in the risk of pelvic endometriosis by nun status was detected, but a trend toward a lower incidence in nuns was observed. Women with education beyond high school had a significantly higher incidence of endometriosis than women with less education.^ Cases in the four diagnostic groups differed greatly by age and marital status but were similar with respect to virtually all other characteristics, once age differences were considered. Reproductive history characteristics described included: age of menarche; history of menopause; total pregnancies; ages of first pregnancy, marriage, and sexual intercourse; years from menarche to first intercourse; years of ovulatory cycling; difficulty becoming pregnant; and delay of the first pregnancy by choice. How these characteristics of incident cases differ from those of women free of endometriosis needs to be studied in future research. ^

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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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The study aim was to determine whether using automated side loader (ASL) trucks in higher proportions compared to other types of trucks for residential waste collection results in lower injury rates (from all causes). The primary hypothesis was that the risk of injury to workers was lower for those who work with ASL trucks than for workers who work with other types of trucks used in residential waste collection. To test this hypothesis, data were collected from one of the nation’s largest companies in the solid waste management industry. Different local operating units (i.e. facilities) in the company used different types of trucks to varying degrees, which created a special opportunity to examine refuse collection injuries and illnesses and the risk reduction potential of ASL trucks.^ The study design was ecological and analyzed end-of-year data provided by the company for calendar year 2007. During 2007, there were a total of 345 facilities which provided residential services. Each facility represented one observation.^ The dependent variable – injury and illness rate, was defined as a facility’s total case incidence rate (TCIR) recorded in accordance with federal OSHA requirements for the year 2007. The TCIR is the rate of total recordable injury and illness cases per 100 full-time workers. The independent variable, percent of ASL trucks, was calculated by dividing the number of ASL trucks by the total number of residential trucks at each facility.^ Multiple linear regression models were estimated for the impact of the percent of ASL trucks on TCIR per facility. Adjusted analyses included three covariates: median number of hours worked per week for residential workers; median number of months of work experience for residential workers; and median age of residential workers. All analyses were performed with the statistical software, Stata IC (version 11.0).^ The analyses included three approaches to classifying exposure, percent of ASL trucks. The first approach included two levels of exposure: (1) 0% and (2) >0 - <100%. The second approach included three levels of exposure: (1) 0%, (2) ≥ 1 - < 100%, and (3) 100%. The third approach included six levels of exposure to improve detection of a dose-response relationship: (1) 0%, (2) 1 to <25%, (3) 25 to <50%, (4) 50 to <75%, (5) 75 to <100%, and (6) 100%. None of the relationships between injury and illness rate and percent ASL trucks exposure levels was statistically significant (i.e., p<0.05), even after adjustment for all three covariates.^ In summary, the present study shows that there is some risk reduction impact of ASL trucks but not statistically significant. The covariates demonstrated a varied yet more modest impact on the injury and illness rate but again, none of the relationships between injury and illness rate and the covariates were statistically significant (i.e., p<0.05). However, as an ecological study, the present study also has the limitations inherent in such designs and warrants replication in an individual level cohort design. Any stronger conclusions are not suggested.^

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The study purpose was to analyze the effects Integrated Health Solutions (IHS), an employee wellness program that has been implemented for one year on the corporate campus of a major private sector petrochemical company in Houston, TX, has on employee health. ^ Chronic diseases are the leading causes of morbidity and mortality in the United States and are the most preventable of all health problems. The costs of chronic diseases in the working-age adult population include not only health problems and a decrease in quality of life, but also an increase the cost of health care and costs to businesses and employers, both directly and indirectly. These emerging costs to employers as well as the fact that adults now spend the majority of waking hours at the office have increased the interest in worksite health promotion programs that address many of the behavioral factors that lead to chronic conditions. Therefore, implementing and evaluating programs that are aimed at promoting health and decreasing the prevalence of chronic diseases at worksites is very important. ^ Data came from existing data that were collected by IHS staff during employee biometric screenings at the company in 2010 and 2011. Data from employees who participated in screenings in both 2010 and 2011 were grouped into a cohort by IHS staff. ^ One-tailed t-tests were conducted to determine if there were significant improvements in the biometric measures of body fat percentage, BMI, waist circumference, systolic and diastolic blood pressures, total, HDL, and LDL cholesterol levels, triglycerides, blood glucose levels, and cardiac risk ratios. Sensitivity analysis was conducted to determine if there were differences in program outcomes when stratified by age, gender, job type, and time between screenings. ^ Mean differences for the variables from 2010 to 2011 were small and not always in the desired direction for health improvement indicators. Through conducting t-tests, it was found that there were significant improvements in HDL, cardiac risk ratio, and glucose levels. There were significant increases in cholesterol, LDL, and diastolic blood pressures. For the IHS program, it appears that gender, job type, and time between screenings were possible modifiers of program effectiveness. When program outcome measures were stratified by these factors, results suggest that corporate employees had better outcomes than field employees, males had better outcomes overall than females, and more positive program effects were seen for employees with less time between their two screenings. ^ Recommendations for the program based on the results include ensuring validity of instruments and initial and periodic training of measurement procedures and equipment handling, using normative data or benchmarks to decrease chances for biased estimates of program effectiveness, measuring behaviors as well as biometric and physiologic statuses and changes, and collecting level of engagement data.^