Public Health Seminar Series:

Health in Context: From Genotypes to Geocodes by Jennifer Robinette, Ph.D.

Thursday, November 30, 2017 12:00pm - 1:00pm AIRB 2086 OCW Video Archive
Seminar Abstract

People living in low income neighborhoods often have poor health because these neighborhoods typically expose residents to more hazards and fewer resources. This talk will review biological, affective, and behavioral processes that serve as pathways linking adverse neighborhood features with health. Evidence from twin models provides more defensible causal inferences about neighborhood effects. Further, investigations of gene x environment interactions suggest that some subgroups of the population may be more vulnerable than others to neighborhood adversity.

Speaker Biography - Jennifer Robinette, Ph.D.

Jennifer Robinette, Ph.D.
Jennifer Robinette, Ph.D. Postdoctoral Scholar, University of Southern California, Davis School of Gerontology
Jennifer Robinette is a social epidemiologist who studies the associations between social aspects of neighborhoods and people’s mental, physiological, and physical health. Her work utilizes several national, longitudinal, multi-level data sets that enable analysis of molecular, biological, psychological, behavioral, social, and environmental health determinants. Robinette is among the first researchers to examine indicators of biological risk in the context of neighborhoods, and examines affective and behavioral pathways linking neighborhoods to health. She received her Ph.D. in Psychology and Social Behavior (2015) from the University of California, Irvine, with a concentration in health psychology. She is a previous National Science Foundation Graduate Research Fellow, and has just completed a two-year position as a postdoctoral scholar in the Davis School of Gerontology at the University of Southern California. She recently received a K99/R00 Career Development award from the National Institute on Aging. With this award, she will focus on behavioral and molecular genetic approaches to examine potential causality in neighborhood and health connections as well as differential vulnerability to neighborhood adversity.

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