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Full-Text Articles in Epidemiology
Epidemiology Of Non-Alcoholic Fatty Liver Disease And Risk Of Hepatocellular Carcinoma Progression, Krishna Chaitanya Thandra, Adam Barsouk, Kalyan Saginala, John Sukumar Aluru, Prashanth Rawla, Alexander Barsouk
Epidemiology Of Non-Alcoholic Fatty Liver Disease And Risk Of Hepatocellular Carcinoma Progression, Krishna Chaitanya Thandra, Adam Barsouk, Kalyan Saginala, John Sukumar Aluru, Prashanth Rawla, Alexander Barsouk
Kimmel Cancer Center Faculty Papers
Non-alcoholic fatty liver disease (NAFLD) has become the most common chronic liver disease worldwide. Its incidence has grown alongside the increasing global prevalence of type 2 diabetes, obesity, and metabolic syndrome. The risk of progression to hepatocellular carcinoma for nonalcoholic steatohepatitis patients over 5 years is 8%, and despite targeted and immunotherapy treatment advances, HCC maintains a bleak 5-year survival of 19%. NAFLD’s primary risk factors are components of metabolic syndrome as well as possible sleep disturbances. NAFLD is most common among men 50-60 years of age, though incidence in women catches up after menopause. In the US, Hispanics are …
A Spatial Cluster Analysis Of Tractor Overturns In Kentucky From 1960 To 2002, Daniel M. Saman, Henry P. Cole, Agricola Odoi, Melvin L. Myers, Daniel I. Carey, Susan C. Westneat
A Spatial Cluster Analysis Of Tractor Overturns In Kentucky From 1960 To 2002, Daniel M. Saman, Henry P. Cole, Agricola Odoi, Melvin L. Myers, Daniel I. Carey, Susan C. Westneat
Epidemiology and Environmental Health Faculty Publications
BACKGROUND: Agricultural tractor overturns without rollover protective structures are the leading cause of farm fatalities in the United States. To our knowledge, no studies have incorporated the spatial scan statistic in identifying high-risk areas for tractor overturns. The aim of this study was to determine whether tractor overturns cluster in certain parts of Kentucky and identify factors associated with tractor overturns.
METHODS: A spatial statistical analysis using Kulldorff's spatial scan statistic was performed to identify county clusters at greatest risk for tractor overturns. A regression analysis was then performed to identify factors associated with tractor overturns.
RESULTS: The spatial analysis …