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

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Presentation on theme: "Bioelectrical Impedance Analysis and Vasoconstriction Taylor Guffey Lauren Morgan Harry Han Shelby Hassberger Daniel Kim Elizabeth Morris Rachel Patel."— Presentation transcript:

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

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 24 o C to 4 o C 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 24 o C to 4 o C 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 24 o C A room at 4 o C http://image3.examiner.com/images/blog/wysi wyg/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 Height Survey & Time Table Weight Heate r BIA Reading Station Chair Door Waiting Area Warm Room 24 o C Time & BIA Reading Station Door Waiting Area Ten Minutes Later Simulation Cold Room 4 o C

8 Data SubjectsHeightWeight (lbs)GenderAgeHot BIACold BIA A16' 2"184Male1913.517.35 A25' 8.5"148Male1815.917.65 A35' 2"137Female1926.3527.55 A45' 11"179Male1916.6516.7 A55' 5"141Female1929.730.5 A65' 8"165Male2018.2519.05 A75' 9.75"166Male1917.2518.25 A85' 4.75"139Female1825.126.35 A95' 8.25"135Female1917.718.7 A105' 8"155Male1915.917.25 A116' 0"164Male1813.215.6 A125' 11.5"182Male1919.4520.6 B16' 2"166Male1911.9513.65 B25' 5.25"148Female1929.1529.3 B35' 10"151Male197.59.85 B46' 4"211Male2013.9514.6 B55' 10.75"153Male1814.716.95 B66' 1"186Male1818.0518.9 B76' 2"163Male1813.714.4 B85' 10"170Male2011.313.1 B96' 0"175Female1924.525.6 B105' 11.75"138Male199.6511.05 B116' 1.5"171Male1910.3511.75 B125' 10.5"195Male1918.619.95

9 Statistical Analysis Statistics t-score 9.608 p-value 1.2423E-09 Standard Deviation 0.617402438 Mean of Difference 1.237 Student’s Dependent One-Tailed T-test

10 T-Score Calculation X D = Mean of the differences S D = Standard Deviation of the differences n = Sample size

11 Analysis T-value Needed= 1.72 for 95% confidence T-score = 9.608 P value = 1.24 x 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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