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Bioelectrical Impedance Analysis and Vasoconstriction

Bioelectrical Impedance Analysis and Vasoconstriction. Taylor Guffey Lauren Morgan Harry Han Shelby Hassberger Daniel Kim Elizabeth Morris Rachel Patel Radu Reit. Problem Statement.

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Bioelectrical Impedance Analysis and Vasoconstriction

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  1. Bioelectrical Impedance Analysis and Vasoconstriction Taylor Guffey Lauren Morgan Harry Han Shelby Hassberger Daniel Kim Elizabeth Morris Rachel Patel RaduReit

  2. Problem Statement • The purpose of this study is to evaluate whether the temperature of the room can affect the body fat percentage reading for an individual.

  3. Sample Size • Sample size derived from pilot study • 23 estimated for statistical significance • 24 used in experiment Exclusion/Inclusion Criteria: • Only students in BMED1300 will participate in this study as part of a class project.

  4. Hypothesis Null Hypothesis • There will be no difference in the readings of body fat percentage from 24oC to 4oC as measured by the bioelectrical impedance analysis. Alternative Hypothesis • There will be a statistically significant increase in body fat percentage when the readings are taken from 24oC to 4oC as measured by the bioelectrical impedance analysis.

  5. Materials • Instruction Sheet • Name tags • Consent Form • Data Card • Survey • Jackets • Scale • Meter Stick • Omron HBF-360 Fat Analyzer • Thermometer • Space Heater • A room at 24o C • A room at 4o C http://image3.examiner.com/images/blog/wysiwyg/image/omron_HBF-306.jpg

  6. Methodology • 2 groups of 12 subjects each • Read and sign consent form • Assign subject IDs and handout Data Card • Height and weight were measured • Subjects fill out survey • BIA measured after 10 minutes • Subjects transferred to Cold Room • BIA measured again after 10 minutes

  7. Simulation Waiting Area Door Heater Height Ten Minutes Later Ten Minutes Later Waiting Area Survey & Time Table Chair Time & BIA Reading Station Weight BIA Reading Station Door Warm Room 24oC Cold Room 4oC

  8. Data

  9. Statistical Analysis • Student’s Dependent One-Tailed T-test

  10. T-Score Calculation XD = Mean of the differences SD = Standard Deviation of the differences n = Sample size

  11. Analysis T-value Needed= 1.72 for 95% confidence T-score = 9.608 P value = 1.24x 10-9 Null Hypothesis is rejected

  12. Outliers

  13. Discussion • Null hypothesis is rejected • Statistically significant increase in BIA readings • Data supports the alternative hypothesis • Strong correlation

  14. Improvements • Less subjects • Smaller groups • Multiple devices • More time in each room • Specific groups • (e.g. gender, weight class, etc.)

  15. Questions?

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