32 research outputs found

    DEXA Body Composition and Cardiovascular Risk Factors Weakly Related in Police Officers

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    There is currently little research on whether fat mass and distribution is a predictive factor of cardiovascular risk. PURPOSE: To determine if obesity measures, such as fat mass and distribution (android vs gynoid), could be used to predict cardiovascular risk, particularly lipid levels, systolic blood pressure (SBP) and blood glucose. Our hypothesis was that fat mass is not an accurate predictor of these cardiovascular risk factors. METHODS: 182 police officers (166 males, 16 females; age 37.6±8.1 yrs; ht 1.7±0.1 m; wt 92.2±17.8 kg; BMI 28.9±4.8) were part of an annual cardiovascular risk profile testing group. We measured resting heart rate and blood pressure, and body composition via DEXA scan (SBP 127.16±10.33 mmHg; fat mass 26.85±9.99 kg; lean mass 62.01±9.90 kg; percent android fat 35.54±10.07; percent gynoid fat 29.65±6.91). Fasting blood samples were drawn and analyzed by a clinically certified lab to determine total blood cholesterol (TC) (191.79±37.31 mg/dL), LDL (119.23±34.74 mg/dL), HDL (46.39±10.48 mg/dL), triglycerides (128.94±99.25 mg/dL), and glucose (86.67±18.65 mg/dL). Correlations were determined by using a bivariate Pearson correlation matrix, significance was set at and p\u3c0.01**. RESULTS: As fat mass increased, total cholesterol and LDL increased and HDL decreased. Triglycerides, glucose, and SBP also increased as fat mass increased. There were also significant increases in total cholesterol, LDL, triglycerides, glucose and SBP as android fat percentage increased. HDL decreased significantly as android fat percentage increased. CONCLUSION: Fat mass weakly correlates with blood cholesterol levels. We suggest that factors other than fat mass affect cholesterol, such as genetics and lifestyle. More research is needed to see if this correlation holds or is stronger in similar and different populations

    The Presidency and the Executive Branch in Latin America: What We Know and What We Need to Know

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    The presidential politics literature depicts presidents either as all- powerful actors or figureheads and seeks to explain outcomes accordingly. Th e president and the executive branch are nonetheless usually treated as black boxes, particularly i n developing countries, even though the presidency has evolved into an extremely complex branch of government. While these developments have been studied in the U nited States, far less i s known in other countries, particularly in Latin America, where presi dential systems have been considered the source of all goods and evils. To help close the knowledge gap and explore differences in policymaking characteristics not only between Latin America and the US but also across Latin American countries, this paper s ummarizes the vast literature on the organization and resources of the Executive Branch in the Americas and sets a research agenda for the study of Latin American presidencies.Fil: Bonvecchi, Alejandro. Universidad Torcuato Di Tella. Departamento de Ciencia Política y Estudios Internacionales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Scartascini, Juan Carlos. Banco Interamericano de Desarrollo; Estados Unido

    A National Measurement Framework to Assess and Improve Sickle Cell Care in 4 US Regions

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    ObjectivesCoordinated measurement strategies are needed to inform collaborative approaches to improve access to and quality of care for persons with sickle cell disease (SCD). The objective of our study was to develop a multilevel measurement strategy to assess improvements in access to and quality of care for persons with SCD in 4 US regions.MethodsFrom 2014 through 2017, regional grantees in the Sickle Cell Disease Treatment Demonstration Program collected administrative and patient-level electronic health record (EHR) data to assess quality improvement initiatives. Four grantees-covering 29 US states and territories and an SCD population of 56 720-used a collective impact model to organize their work. The grantees collected administrative data from state Medicaid and Medicaid managed care organizations (MCOs) at multiple points during 2014-2017 to assess improvements at the population level, and local patient-level data were abstracted from site-level EHRs at regular intervals to track improvements over time.ResultsAdministrative data were an important source of understanding population-level improvements but were delayed, whereas patient-level data were more sensitive to small-scale quality improvements.ConclusionsWe established a shared measurement approach in partnership with Medicaid and Medicaid MCO stakeholders that can be leveraged to effectively support quality improvement initiatives for persons with SCD in the United States
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