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Georgia State University

Public Health Faculty Publications

Prevalence

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Prevalence And Risk Factors For Methicillin-Resistant Staphylococcus Aureus In An Hiv-Positive Cohort, Jason E. Farley, Matthew Hayat, Paul L. Sacamano, Tracy Ross, Karen Carroll Feb 2015

Prevalence And Risk Factors For Methicillin-Resistant Staphylococcus Aureus In An Hiv-Positive Cohort, Jason E. Farley, Matthew Hayat, Paul L. Sacamano, Tracy Ross, Karen Carroll

Public Health Faculty Publications

Background: Persons living with HIV (PLWH) are disproportionately burdened with methicillin-resistant Staphylococcus aureus (MRSA). Our objective was to evaluate prevalence and risks for MRSA colonization in PLWH. Methods: Adults were recruited from Johns Hopkins University AIDS Service in Baltimore, Maryland. A risk questionnaire and specimen collection from anatomic sites with culture susceptibility and genotyping were completed. Generalized estimating equation modeling identified MRSA colonization risk factors. Results: Of 500 participants,mostwere black (69%), on antiretroviral therapy (ART) (87%),with undetectable viral loads (73.4%). Median CD4 count was 487 cells/mm3 (interquartile range, 316-676.5 cells/mm3). MRSA prevalence was 15.4%, predominantly from the nares (59.7%). Forty …


Prevalence Of Youth Access To Alcohol Or A Gun In The Home, Monica H. Swahn, B J. Hammig, R M. Ikeda Sep 2002

Prevalence Of Youth Access To Alcohol Or A Gun In The Home, Monica H. Swahn, B J. Hammig, R M. Ikeda

Public Health Faculty Publications

Objectives: To estimate the national prevalence of youth access to alcohol, a gun, or both alcohol and a gun, in their home and to describe the demographic characteristics associated with access to either alcohol or a gun.

Methods: Cross sectional data from the 1995 in-home survey of the National Longitudinal Study of Adolescent Health, which used a nationally representative randomly selected school based sample (n=18 924) of adolescents in grades 7-12, were analyzed. The current analyses were restricted to those adolescents 12-18 years of age (n=18 454). Crude logistic regression analyses was used to determine the demographic characteristics associated with …