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- All Subjects: medicine
- Creators: LaBelle, Jeffrey
Description
The effects of a long-term combat deployment on a soldier's physical fitness are not well understood. In active duty soldiers, combat deployment reduced physical fitness compared to pre-deployment status, but no similar research has been performed on Army National Guard soldiers. This study is the first to identify physical fitness changes in Arizona National Guard (AZNG) soldiers following deployment to a combat zone and to assess the relationships between physical fitness and non-combat injuries and illness (NCII). Sixty soldiers from the Arizona National Guard (AZNG) completed a battery of physical fitness tests prior to deployment and within 1-7 days of returning from a 12-month deployment to Iraq. Pre and post-deployment measures assessed body composition (Bod Pod), muscular strength (1RM bench press, back-squat), muscular endurance (push-up, sit-up), power (Wingate cycle test), cardiorespiratory fitness (treadmill run to VO2 peak), and flexibility (sit-and-reach, trunk extension, shoulder elevation). Post deployment, medical records were reviewed by a blinded researcher and inventoried for NCII that occurred during deployment. Data were analyzed for changes between pre and post-deployment physical fitness. Relationships between fitness and utilization of medical resources for NCII were then determined. Significant declines were noted in mean cardiorespiratory fitness (-10.8%) and trunk flexibility (-6.7%). Significant improvements were seen in mean level of fat mass (-11.1%), relative strength (bench press, 10.2%, back-squat 14.2%) and muscular endurance (push-up 16.4%, sit-up 11.0%). Significant (p < 0.05) negative correlations were detected between percentage change in fat mass and gastrointestinal visits (r = -0.37); sit-and-reach and lower extremity visits (r= -0.33); shoulder elevation and upper extremity visits (r= -0.36); and cardiorespiratory fitness and back visits (r= -0.31); as well as behavioral health visits (r= -0.28). Cardiorespiratory fitness changes were grouped into tertiles. Those who lost the greatest fitness had significantly greater number of NCII visits (8.0 v 3.1 v 2.6, p = .03). These data indicate a relationship between the decline in cardiorespiratory fitness and an overall increase in utilization of medical resources. The results may provide incentive to military leaders to ensure that soldiers maintain their cardiorespiratory fitness throughout the extent of their deployment.
ContributorsWarr, Bradley (Author) / Swan, Pamela (Thesis advisor) / Lee, Chong (Committee member) / Campbell, Kathryn (Committee member) / Erickson, Steven (Committee member) / Alvar, Brent (Committee member) / Arizona State University (Publisher)
Created2011
Description
In the search for chemical biosensors designed for patient-based physiological applications, non-invasive diagnostic approaches continue to have value. The work described in this thesis builds upon previous breath analysis studies. In particular, it seeks to assess the adsorptive mechanisms active in both acetone and ethanol biosensors designed for breath analysis. The thermoelectric biosensors under investigation were constructed using a thermopile for transduction and four different materials for biorecognition. The analytes, acetone and ethanol, were evaluated under dry-air and humidified-air conditions. The biosensor response to acetone concentration was found to be both repeatable and linear, while the sensor response to ethanol presence was also found to be repeatable. The different biorecognition materials produced discernible thermoelectric responses that were characteristic for each analyte. The sensor output data is presented in this report. Additionally, the results were evaluated against a mathematical model for further analysis. Ultimately, a thermoelectric biosensor based upon adsorption chemistry was developed and characterized. Additional work is needed to characterize the physicochemical action mechanism.
ContributorsWilson, Kimberly (Author) / Guilbeau, Eric (Thesis advisor) / Pizziconi, Vincent (Thesis advisor) / LaBelle, Jeffrey (Committee member) / Arizona State University (Publisher)
Created2011
Description
The American Diabetes Association reports that diabetes costs $322 billion annually and affects 29.1 million Americans. The high out-of-pocket cost of managing diabetes can lead to noncompliance causing serious and expensive complications. There is a large market potential for a more cost-effective alternative to the current market standard of screen-printed self-monitoring blood glucose (SMBG) strips. Additive manufacturing, specifically 3D printing, is a developing field that is growing in popularity and functionality. 3D printers are now being used in a variety of applications from consumer goods to medical devices. Healthcare delivery will change as the availability of 3D printers expands into patient homes, which will create alternative and more cost-effective methods of monitoring and managing diseases, such as diabetes. 3D printing technology could transform this expensive industry. A 3D printed sensor was designed to have similar dimensions and features to the SMBG strips to comply with current manufacturing standards. To make the sensor electrically active, various conductive filaments were tested and the conductive graphene filament was determined to be the best material for the sensor. Experiments were conducted to determine the optimal print settings for printing this filament onto a mylar substrate, the industry standard. The reagents used include a mixture of a ferricyanide redox mediator and flavin adenine dinucleotide dependent glucose dehydrogenase. With these materials, each sensor only costs $0.40 to print and use. Before testing the 3D printed sensor, a suitable design, voltage range, and redox probe concentration were determined. Experiments demonstrated that this novel 3D printed sensor can accurately correlate current output to glucose concentration. It was verified that the sensor can accurately detect glucose levels from 25 mg/dL to 400 mg/dL, with an R2 correlation value as high as 0.97, which was critical as it covered hypoglycemic to hyperglycemic levels. This demonstrated that a 3D-printed sensor was created that had characteristics that are suitable for clinical use. This will allow diabetics to print their own test strips at home at a much lower cost compared to SMBG strips, which will reduce noncompliance due to the high cost of testing. In the future, this technology could be applied to additional biomarkers to measure and monitor other diseases.
ContributorsAdams, Anngela (Author) / LaBelle, Jeffrey (Thesis advisor) / Pizziconi, Vincent (Committee member) / Abbas, James (Committee member) / Arizona State University (Publisher)
Created2017
Description
Statistical process control (SPC) and predictive analytics have been used in industrial manufacturing and design, but up until now have not been applied to threshold data of vital sign monitoring in remote care settings. In this study of 20 elders with COPD and/or CHF, extended months of peak flow monitoring (FEV1) using telemedicine are examined to determine when an earlier or later clinical intervention may have been advised. This study demonstrated that SPC may bring less than a 2.0% increase in clinician workload while providing more robust statistically-derived thresholds than clinician-derived thresholds. Using a random K-fold model, FEV1 output was predictably validated to .80 Generalized R-square, demonstrating the adequate learning of a threshold classifier. Disease severity also impacted the model. Forecasting future FEV1 data points is possible with a complex ARIMA (45, 0, 49), but variation and sources of error require tight control. Validation was above average and encouraging for clinician acceptance. These statistical algorithms provide for the patient's own data to drive reduction in variability and, potentially increase clinician efficiency, improve patient outcome, and cost burden to the health care ecosystem.
ContributorsFralick, Celeste (Author) / Muthuswamy, Jitendran (Thesis advisor) / O'Shea, Terrance (Thesis advisor) / LaBelle, Jeffrey (Committee member) / Pizziconi, Vincent (Committee member) / Shea, Kimberly (Committee member) / Arizona State University (Publisher)
Created2013