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author:("szlarek, Michael")
1.  The Correlation between Global Health Experiences in Low-Income Countries on Choice of Primary Care Residencies for Graduates of an Urban US Medical School 
This study sought to determine whether medical students who participate in a global health elective in a low-income country select residencies in primary care at higher rates compared with their classmates and US medical graduates in general. Given the projected increase in demand for primary care physicians, particularly in underserved areas, understanding possible factors that encourage training in primary care or enhance interest in the care of underserved populations may identify opportunities in medical school training. The authors used data from the Office of Student Affairs, SUNY Downstate College of Medicine and the National Residency Matching Program to compare rates of primary care residency selection from 2004 to 2012. Residency selections for students who participated in the SUNY Downstate School of Public Health Global Health Elective were compared with those of their classmates and with residency match data for US seniors. In 7 of the 8 years reviewed, students who participated in the SUNY Downstate School of Public Health Global Health Elective selected primary care residencies at rates higher than their classmates. Across years, 57 % of the students who completed the elective matched to primary care residences, which was significantly higher than the 44 % for the remainder of Downstate's medical student class (p = 0.0023). In 6 of the 8 years, Downstate students who participated in the Global Health Elective selected primary care residencies at rates higher than US medical school seniors in general; rates were the same for both Downstate Global Health Elective students and US medical school seniors in 2009. Students who participated in a global health experience in a low-income country selected primary care residencies at higher rates than their classmates and US medical school graduates in general. Understanding how these experiences correlate with residency selection requires further investigation; areas of future study are discussed.
PMCID: PMC3978151  PMID: 24091733
Medical school graduates; Primary care residency choice; Urban medical school graduates; Global health electives for medical students; Global health experience in low-income countries; Underserved populations; Residency selections; Factors influencing medical residency choice; Primary care residencies
2.  Maximum carotid artery wall thickness and risk factors in a young primary prevention population 
Brain and Behavior  2012;2(5):590-594.
Maximum carotid artery wall thickness was utilized in a primary prevention population and compared with baseline risk factors. Carotid wall thickness was measured between the blood–intima and media–adventitia interfaces by B-mode ultrasonography using software calipers at points of protrusion. Long-axis measures were confirmed by short-axis assessment. The maximum carotid wall thickness for each subject was divided by age in years to yield an annual accretion rate (called carotid intima–media thickness accretion rate [CIMTAR]). The entire study population was then divided by median CIMTAR to investigate the association with baseline variables used in standard risk assessments with the bifurcated groups. Traditional risk factors such as age, diabetes, smoking, hyperlipidemia, and obesity were not associated with greater than median CIMTAR. Only male gender (P = 0.02) and systolic blood pressure (P = 0.002) in baseline variables were associated with an elevated CIMTAR for the entire population. Among those not taking lipid-lowering therapy at baseline, only systolic blood pressure remained significant (P = 0.0002). Correlations between low-density lipoprotein (LDL) cholesterol level and maximum carotid wall thickness/CIMTAR were weak for the entire population (r = −0.17/r = −0.12, respectively). Measure of maximum carotid wall thickness may select patients earlier for treatment than traditional risk factors. The addition of CIMTAR to risk algorithms may permit a single-point assignation of subsequent vascular risk that is more efficacious than traditional risk factors.
PMCID: PMC3489811  PMID: 23139904
Atherogenesis; carotid wall thickness; IMT; stroke

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