Social and Behavioral Sciences Commons^™

Exploring Overlaps Between The Genomic And Environmental Determinants Of Lvh And Stroke: A Multicenter Study In West Africa, Abiodun M. Adeoye, Bruce Ovbiagele, Philip Kolo, Lambert Appiah, Akinyemi Aje, Oladimeji Adebayo, Fred Sarfo, Joshua Akinyemi, Gregory Adekunle, Francis Agyekum, Vincent Shidali, Okechukwu Ogah, Dan Lackland, Mulugeta Gebregziabher, Donna K. Arnett, Hemant K. Tiwari, Rufus Akinyemi, Ojo Olakanmi Olagoke, Ayodipupo Sikiru Oguntade, Taiwo Olunuga, Kelechi Uwanruochi, Carolyn Jenkins, Patrick Adadey, Henry Iheonye, Lukman Owolabi, Reginald Obiako, Samuel Akinjopo, Kevin Armstrong, Albert Akpalu, Adekunle Fakunle

Epidemiology and Environmental Health Faculty Publications

Background

Whether left ventricular hypertrophy (LVH) is determined by similar genomic and environmental risk factors with stroke, or is simply an intermediate stroke marker, is unknown.

Objectives

We present a research plan and preliminary findings to explore the overlap in the genomic and environmental determinants of LVH and stroke among Africans participating in the SIREN (Stroke Investigative Research and Education Network) study.

Methods

SIREN is a transnational, multicenter study involving acute stroke patients and age-, ethnicity-, and sex-matched control subjects recruited from 9 sites in Ghana and Nigeria. Genomic and environmental risk factors and other relevant phenotypes for stroke and …

Accuracy Of Name And Age Data Provided About Network Members In A Social Network Study Of People Who Use Drugs: Implications For Constructing Sociometric Networks, April M. Young, Abby E. Rudolph, Amanda E. Su, Lee King, Susan Jent, Jennifer R. Havens

Epidemiology and Environmental Health Faculty Publications

Purpose—Network analysis has become increasingly popular in epidemiologic research, but the accuracy of data key to constructing risk networks is largely unknown. Using network data from people who use drugs (PWUD), the study examined how accurately PWUD reported their network members’ (i.e., alters’) names and ages.

Methods—Data were collected from 2008 to 2010 from 503 PWUD residing in rural Appalachia. Network ties (n=897) involved recent (past 6 months) sex, drug co-usage, and/or social support. Participants provided alters’ names, ages, and relationship-level characteristics; these data were cross-referenced to that of other participants to identify participant-participant relationships and to determine …