Life Sciences Commons^™

School Day Segmented Physical Activity Patterns Of High And Low Active Children, Stuart J. Fairclough, Aaron Beighle, Heather Erwin, Nicola D. Ridgers

Kinesiology and Health Promotion Faculty Publications

BACKGROUND: Variability exists in children's activity patterns due to the association with environmental, social, demographic, and inter-individual factors. This study described accelerometer assessed physical activity patterns of high and low active children during segmented school week days whilst controlling for potential correlates.

METHODS: Two hundred and twenty-three children (mean age: 10.7 ± 0.3 yrs, 55.6% girls, 18.9% overweight/obese) from 8 north-west England primary schools wore ActiGraph GT1M accelerometers for 7 consecutive days during autumn of 2009. ActiGraph counts were converted to minutes of moderate (MPA), vigorous (VPA) and moderate-to-vigorous (MVPA) physical activity. Children were classified as high active (HIGH) or …

Active Site Mutations Change The Cleavage Specificity Of Neprilysin., Travis Sexton, Lisa J. Hitchcook, David W. Rodgers, Luke H. Bradley, Louis B. Hersh

Molecular and Cellular Biochemistry Faculty Publications

Neprilysin (NEP), a member of the M13 subgroup of the zinc-dependent endopeptidase family is a membrane bound peptidase capable of cleaving a variety of physiological peptides. We have generated a series of neprilysin variants containing mutations at either one of two active site residues, Phe⁵⁶³ and Ser⁵⁴⁶. Among the mutants studied in detail we observed changes in their activity towards leucine⁵-enkephalin, insulin B chain, and amyloid β_1-40. For example, NEP^F563I displayed an increase in preference towards cleaving leucine⁵-enkephalin relative to insulin B chain, while mutant NEP^S546E was less discriminating …

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 …