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Jennifer Gillman

Researcher at Hospital of the University of Pennsylvania

Publications -  17
Citations -  227

Jennifer Gillman is an academic researcher from Hospital of the University of Pennsylvania. The author has contributed to research in topics: Oily fish & Population. The author has an hindex of 9, co-authored 15 publications receiving 160 citations. Previous affiliations of Jennifer Gillman include New York University.

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Dietary fish intake and sleep quality: a population-based study

TL;DR: Even in people who ingest more than the recommended amount of fish, an increase in fish intake is associated with further improvement in the quality of sleep.
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Dietary Oily Fish Intake and Blood Pressure Levels: A Population-Based Study

TL;DR: An inverse relationship between oily fish consumption and systolic pressure is shown, suggesting currently recommended amounts of dietary oily fish intake per week might be insufficient to exert beneficial effects of fish in the control of blood pressure.
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Calcifications in the carotid siphon correlate with silent cerebral small vessel disease in community-dwelling older adults: A population-based study in rural Ecuador

TL;DR: Using a population‐based, cross‐sectional design, whether the presence of calcifications in the carotid siphon is associated with silent markers of cerebral small vessel disease in apparently healthy older adults living in Atahualpa, a rural Ecuadorian village is assessed.
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Oily Fish Intake and Cognitive Performance in Community-Dwelling Older Adults: The Atahualpa Project

TL;DR: Simple preventive measures, such as modifying dietary habits, might be of value to reduce the rate of cognitive decline in community-dwelling older adults living in underserved populations.
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The role of dynamic contrast-enhanced screening breast MRI in populations at increased risk for breast cancer.

TL;DR: The current literature on the use of screening MRI in high- and intermediate-risk populations is described and novel applications of breast MRI including abbreviated breast MRI protocols, background parenchymal enhancement and diffusion-weighted imaging are described.