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The Influence Of Ambient Lighting Levels On Postural Sway In Healthy Children Ages 9 To 11, Yvette Blanchard, Rebecca Mcveigh, Megan Graham, Melissa Cadet, Kabulo Mwilambwe, Christi Scott Sep 2007

The Influence Of Ambient Lighting Levels On Postural Sway In Healthy Children Ages 9 To 11, Yvette Blanchard, Rebecca Mcveigh, Megan Graham, Melissa Cadet, Kabulo Mwilambwe, Christi Scott

All PTHMS Faculty Publications

The purpose of this study was to determine whether postural sway in healthy children varied in different levels of ambient lighting. Twelve boys and 26 girls with a mean age of 118 months stood on a force platform under three conditions: eyes closed, eyes opened in regular light (200 lx) and eyes opened in dim light (3 lx). Analysis of variance and pairwise comparisons revealed significantly more postural sway with the eyes closed condition compared to the regular and dim light conditions but no differences between the regular and dim light conditions. While our results on postural sway during the …


Symptom Clusters In Acute Myocardial Infarction: A Secondary Data Analysis, Catherine J. Ryan, Holli A. Devon, Rob Horne, Kathleen B. King, Kerry A. Milner, Debra K. Moser, Jill R. Quinn, Anne Rosenfeld, Seon Young Hwang, Julie J. Zerwic Mar 2007

Symptom Clusters In Acute Myocardial Infarction: A Secondary Data Analysis, Catherine J. Ryan, Holli A. Devon, Rob Horne, Kathleen B. King, Kerry A. Milner, Debra K. Moser, Jill R. Quinn, Anne Rosenfeld, Seon Young Hwang, Julie J. Zerwic

Nursing Faculty Publications

Background: Early recognition of acute myocardial infarction (AMI) symptoms and reduced time to treatment may reduce morbidity and mortality. People having AMI experience a constellation of symptoms, but the common constellations or clusters of symptoms have yet to be identified.
Objectives: To identify clusters of symptoms that represent AMI.
Methods: This was a secondary data analysis of nine descriptive, cross-sectional studies that included data from 1,073 people having AMI in the United States and England. Data were analyzed using latent class cluster analysis, an atheoretical method that uses only information contained in the data.
Results: Five distinct clusters of symptoms …