4 resultados para first-year students

em DigitalCommons@The Texas Medical Center


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Introduction: The Pre-Entry Program at The University of Texas Medical School at Houston is presented to assist entering students who are judged to be at risk for academic difficulty. It requires a significant commitment of time on the part of faculty, staff and students. The effectiveness of this program needs to be evaluated. [See PDF for complete abstract]

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The pattern of change in cardiovascular risk factors, blood pressure (SBP and DBP) and plasma total cholesterol (TC), over time, their tracking and their relation to anthropometric measurements during the first year of life were investigated. Also, the effect of breast feeding on TC and the relationship of blood pressure measurements and family history of CVD risk factors were examined. One hundred five newborn term, healthy infants who were seen at a pediatric clinic in The Woodlands, Texas were followed longitudinally from 2 weeks to 1 year of age. TC, blood pressure, weight and length of the infants were measured at age 2 weeks, and again at 2, 4, 6, 9 and 12 months. In addition, family history, maternal and paternal, of CVD risk factors was obtained. Data analyses included only 40 infants who completed one year of follow up.^ At 2 weeks of age, the median value for TC was 23 mg/dl higher for females than for males. This difference disappeared as infants got older. For males, most of the increase in TC median levels, from 114 to 137 mg/dl, occurred between the ages of 2 weeks and 2 months, whereas for the female group, TC levels increased moderately, about 10 mg/dl, between 9 and 12 months of age. Tracking of TC was examined by using Spearman's correlation analysis. There were strong correlations between measurements taken as early as 2 weeks of age with later measurements. These correlations were stronger and more significant for males than for females (for males, r varied between 0.51 to 0.70, whereas for females, r varied between 0.11 to 0.70). The association of body measurements with TC is no more than modest and is closer for female infants than for male infants. Analysis, also, showed that infants who received breast milk had a TC mean value 47 mg/dl higher than that for infants who received formula milk only during the period of breast feeding and this difference disappeared by age 12 months.^ In both genders, most of the increase in blood pressure (about 10-15 mmHg in both SBP and DBP) occurred during the first 4 months of life. Most of the increase for male infants occurred during the first 2 months of life, while for females, the increase in SBP and DBP was between the age of 2 and 4 months. Neither SBP nor DBP track well during the first year of life and most of the correlations between measurements at different ages were not significant for either gender. The cross-sectional relationship of blood pressure measurements and selected body measurements was assessed. For females, only at age of 12 months did DBP have positive and significant correlations with weight, length and Quetelet index (r = 0.57, 0.60 and 0.57, respectively). There were no significant correlations between blood pressure and body measurements for males. Finally, analysis showed that maternal history of CV risk factors was significantly related to SBP in the female infant group, but not for males. For DBP, neither maternal nor paternal history was related. ^

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Congenital anomalies have been a leading cause of infant mortality for the past twenty years in the United States. Few registry-based studies have investigated the mortality experience of infants with congenital anomalies. Therefore, a registry-based mortality study was conducted of 2776 infants from the Texas Birth Defects Registry who were born January 1, 1995 to December 31, 1997, with selected congenital anomalies. Infants were matched to linked birth-infant death files from the Texas Department of Health, Bureau of Vital Statistics. One year Kaplan-Meier survival curves, and mortality estimates were generated for each of the 23 anomalies by maternal race/ethnicity, infant sex, birth weight, gestational age, number of life-threatening anomalies, prenatal diagnosis, hospital of birth and other variables. ^ There were 523 deaths within the first year of life (mortality rate = 191.0 per 1,000 infants). Infants with gastroschisis, trisomy 21, and cleft lip ± palate had the highest first year survival (92.91%, 92.32%, and 87.59%, respectively). Anomalies with the lowest survival were anencephaly (5.13%), trisomy 13 (7.41%), and trisomy 18 (10.29%). ^ Infants born to White, Non-Hispanic women had the highest first year survival (83.57%; 95% CI: 80.91, 85.88), followed by African-Americans (82.43%; 95% CI: 76.98, 86.70) and Hispanics (79.28%; 95% CI: 77.19, 81.21). Infants with birth weights ≥2500 grams and gestational ages ≥37 weeks also had the highest first year survival. First year mortality drastically increased as the number of life-threatening anomalies increased. Mortality was also higher for infants with anomalies that were prenatally diagnosed. Slight differences existed in survival based on infant's place of delivery. ^ In logistic regression analysis, birth weight (<1500 grams: OR = 7.48; 95% CI: 5.42, 10.33; 1500–2499 grams: OR = 3.48; 95% CI: 2.74, 4.42), prenatal diagnosis (OR = 1.92; 95% CI: 1.43, 2.58) and number of life-threatening anomalies (≥3: OR = 22.45; 95% CI: 11.67, 43.18) were the strongest predictors of death within the first year of life for all infants with selected congenital anomalies. To achieve further reduction in the infant mortality rate in the United States, additional research is needed to identify ways to reduce mortality among infants with congenital anomalies. ^

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Existing data, collected from 1st-year students enrolled in a major Health Science Community College in the south central United States, for Fall 2010, Spring 2011, Fall 2011 and Spring 2012 semesters as part of the "Online Navigational Assessment Vehicle, Intervention Guidance, and Targeting of Risks (NAVIGATOR) for Undergraduate Minority Student Success" with CPHS approval number HSC-GEN-07-0158, was used for this thesis. The Personal Background and Preparation Survey (PBPS) and a two-question risk self-assessment subscale were administered to students during their 1st-year orientation. The PBPS total risk score, risk self-assessment total and overall scores, and Under Representative Minority Student (URMS) status were recorded. The purpose of this study is to evaluate and report the predictive validity of the indicators identified above for Adverse Academic Status Events (AASE) and Nonadvancement Adverse Academic Status Events (NAASE) as well as the effectiveness of interventions targeted using the PBPS among a diverse population of health science community college students. The predictive validity of the PBPS for AASE has previously been demonstrated among health science professions and graduate students (Johnson, Johnson, Kim, & McKee, 2009a; Johnson, Johnson, McKee, & Kim, 2009b). Data will be analyzed using binary logistic regression and correlation using SPSS 19 statistical package. Independent variables will include baseline- versus intervention-year treatments, PBPS, risk self-assessment, and URMS status. The dependent variables will be binary AASE and NAASE status. ^ The PBPS was the first reliable diagnostic and prescriptive instrument to establish documented predictive validity for student Adverse Academic Status Events (AASE) among students attending health science professional schools. These results extend the documented validity for the PBPS in predicting AASE to a health science community college student population. Results further demonstrated that interventions introduced using the PBPS were followed by approximately one-third reduction in the odds of Nonadvancement Adverse Academic Status Events (NAASE), controlling for URMS status and risk self-assessment scores. These results indicate interventions introduced using the PBPS may have potential to reduce AASE or attrition among URMS and nonURMS attending health science community colleges on a broader scale; positively impacting costs, shortages, and diversity of health science professionals.^