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Traumatic Injury Rates In Meatpacking Plant Workers, Kennith Culp, M. Brooks, Kerri Rupe, C. Zwerling
Traumatic Injury Rates In Meatpacking Plant Workers, Kennith Culp, M. Brooks, Kerri Rupe, C. Zwerling
Kennith R. Culp
This was a 3-year retrospective cohort study of traumatic injuries in a midwestern pork meatpacking plant. Based on n = 5410 workers, this was a diverse workforce: Caucasian (56.6%), Hispanic (38.9%), African American (2.7%), Asian (1.1%) and Native American (0.8%). There were n = 1655 employees with traumatic injuries during this period. At 6 months of employment, the probability of injury was 33% in the harvest workers who were responsible for slaughter operations. The overall incidence injury rate was 22.76 per 100 full-time employees per year. Women experienced a higher incidence for injury than men. The risk ratio (RR) for …
Modeling Mortality Risk In Hemodialysis Patients Using Laboratory Values As Time-Dependent Covariates, Kennith Culp, M. Flanigan, E. Lowrie, N. Lew, B. Zimmerman
Modeling Mortality Risk In Hemodialysis Patients Using Laboratory Values As Time-Dependent Covariates, Kennith Culp, M. Flanigan, E. Lowrie, N. Lew, B. Zimmerman
Kennith R. Culp
Proportional hazards analyses assume that the magnitude of mortality risk for a predictor variable remains proportional over time. In a time-dependent model, the explanatory variable violates this assumption, and repeat observations are required to accommodate the change in risk that occurs over time. Using a retrospective cohort design, we tested the following laboratory values for a time-by-covariate interaction: hematocrit (HCT), serum albumin (ALB), and serum creatinine (CR). A random sample of 4,083 hemodialysis patients whose specimens were analyzed in a central laboratory over a 3-year period served as the study group. Using the baseline observation, we discovered significant probability values …