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Data Analysis, Research Paper Example
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The overall statistical analysis techniques utilized within this study incorporated quantitative analyses using means and variable statistics. Demographic data was analyzed in three separate time periods during the course of this study. African American women were tested to examine changes in weight, glycemic control levels and insulin levels within the body. These changes in diabetes-related biological levels were analyzed prior to intervention, at the mid-way point of intervention and at the conclusion of the intervention techniques. A simple quantitative statistical analysis was utilized to examine simple changes in biological levels in cumulative averages. This multivariate quantitative analysis was found to be most useful to test the effectiveness of intervention strategies utilized throughout the study as these three variables are most likely to translate to an overall decrease in detrimental biological effects caused by diabetes (Miller, Marolen & Beech, 2010).
In order to maintain simplicity, the glycemic control levels and insulin levels are reported in Table 1.1 as an overall average “Decrease” or “Increase” in respective biological response levels. However, further analysis was conducted and utilized on an individualized basis to analyze each variable. Furthermore, each participant within this study was also graded at an overall achievement score based on researcher analysis to analyze the rate at which individuals exerted energy and during physical exercise (Franz, 2007). Quantitative statistics showed that there was a direct proportional response to high energy exertion to individualized weight loss and improvement in biological glycemic and insulin levels. This trend held true throughout each age group.
In relation to Table 1.1, results were tabulated to show the overall change in weight, glycemic control and insulin levels based on five unique age groups. Overall, there was a clear change in weight levels which is more effectively illustrated in Chart 2.1. It is important to note that every age range lost weight in the cumulative average testing; however, the under 25 age group and over 55 age group saw many key issues to be discussed later that altered overall statistical weight loss.
Table 1.1 – Changes in Biological Levels at Completion of Intervention
Age Range | Weight | Glycemic Control | Insulin Levels |
< 25 | – 2.3 lbs | Decrease | Decrease |
26 – 35 | – 24.67 lbs | Increase | Increase |
36 – 45 | – 21.91 lbs | Increase | Increase |
46 – 55 | – 12.44 lbs | Increase | Increase |
> 55 | – 6.02 lbs | Decrease | Increase |
*Change in statistics calculated based on mean statistics |
Chart 2.1
Bibliography
Franz, M. (2007). The Dilemma of Weight Loss in Diabetes. Diabetes Spectrum, 20(3), 133-136. doi:10.2337/diaspect.20.3.133
Miller, S., Marolen, K., & Beech, B. (2010). Perceptions of Physical Activity and Motivational Interviewing Among Rural African-American Women with Type 2 Diabetes. Women’s Health Issues, 20(1), 43-49. doi: 10.1016/j.whi.2009.09.004
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