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Nora L. Nock

Researcher at Case Western Reserve University

Publications -  70
Citations -  5823

Nora L. Nock is an academic researcher from Case Western Reserve University. The author has contributed to research in topics: Prostate cancer & Cancer. The author has an hindex of 24, co-authored 62 publications receiving 4612 citations.

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Book ChapterDOI

Structural Equation Modeling

TL;DR: The theory of SEM, which allows for the analysis of independent observations for both unrelated and family data, the available software for SEM, and an example of SEM analysis are reviewed.
Journal ArticleDOI

Prostate cancer risk from occupational exposure to polycyclic aromatic hydrocarbons interacting with the GSTP1 Ile105Val polymorphism

TL;DR: Men who carry the GSTP1 Val(105) variant and are exposed at high levels to occupational PAH have increased risk for prostate cancer, and this increased risk is more pronounced in men under age 60 or with a family history of prostate cancer.
Journal ArticleDOI

Grilled Meat Consumption and PhIP-DNA Adducts in Prostate Carcinogenesis

TL;DR: Dietary interventions targeted at lower consumption of grilled red meats may reduce prostate cancer risk via the PhIP prostate carcinogenic pathway, according to this study's results.
Journal ArticleDOI

Racial Differences in Risk of Prostate Cancer Associated with Metabolic Syndrome

TL;DR: The metabolic syndrome was associated with prostate cancer risk in African-American men, but not in white men and the prevalence of this syndrome, coupled with the racial disparity in prostate cancer incidence and outcomes after diagnosis, warrant additional investigation.
Journal ArticleDOI

Empirical Evidence for Syndrome Z : A Hierarchical 5-Factor Model of the Metabolic Syndrome Incorporating Sleep Disturbance Measures

TL;DR: A second-order factor model is evaluated, whereby syndrome Z was described by 5 first-order factors--insulin resistance, obesity, hypertension, dyslipidemia, and sleep disturbance--with the sleep disturbance factor defined using the apnea-hypopnea index, arousal index, percentage of sleep time with oxygen saturation less than 90%, and percentage of slow wave sleep to demonstrate that sleep disturbance coaggregates with other metabolic features to represent a single unifying trait, syndrome Z.