J
Jay S. Kaufman
Researcher at McGill University
Publications - 469
Citations - 22026
Jay S. Kaufman is an academic researcher from McGill University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 75, co-authored 429 publications receiving 19014 citations. Previous affiliations of Jay S. Kaufman include University of North Carolina at Chapel Hill & University of Michigan.
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Journal ArticleDOI
The Development of a Standardized Neighborhood Deprivation Index
Lynne C. Messer,Lynne C. Messer,Barbara A. Laraia,Jay S. Kaufman,Janet Eyster,Claudia Holzman,Jennifer F. Culhane,Irma T. Elo,Jessica G. Burke,Patricia O'Campo,Patricia O'Campo +10 more
TL;DR: The deprivation index was associated with the unadjusted prevalence of preterm birth and low birth weight for white non-Hispanic and to a lesser extent for black non- Hispanic women across the eight sites, suggesting the utility of using a deprivation index for research into neighborhood effects on adverse birth outcomes.
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Socioeconomic status and health in blacks and whites: the problem of residual confounding and the resiliency of race.
TL;DR: It is demonstrated that the effect of residual confounding is to bias interpretation of data toward the conclusion of independent racial/ethnic group effects, and it is proposed that conclusions on the basis of this analytical strategy are generally unwarranted.
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Race and Genomics
TL;DR: These two articles present contrasting views of the usefulness of the concept of race in biomedical research and clinical practice.
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Intimate partner violence against adult women and its association with major depressive disorder, depressive symptoms and postpartum depression: A systematic review and meta-analysis
TL;DR: The meta-analysis suggested two to three-fold increased risk of major depressive disorder and 1.5-2-fold increase risk of elevated depressive symptoms and postpartum depression among women exposed to intimate partner violence relative to non-exposed women.
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Evaluating the evidence for models of life course socioeconomic factors and cardiovascular outcomes: a systematic review
TL;DR: This research reviewed 49 observational studies in the biomedical literature that included socioeconomic measures at a time other than adulthood as independent variables, and assessed subclinical CHD, incident CVD morbidity and/or mortality, and the prevalence of traditional CVD risk factors as their outcomes.