Electronic Theses and Dissertations

Identifier

2527

Author

Ayesha Ghani

Date

2015

Date of Award

12-14-2015

Document Type

Thesis

Degree Name

Master of Science

Major

Clinical Nutrition

Committee Chair

Ruth Williams-Hooker

Committee Member

Karen Smith

Committee Member

Chad Touchberry

Abstract

Background: Body composition is negatively affected in pediatric patients with chronic disease such as HIV, Sickle Cell Disease, and Cancer due to the effect of disease itself on the body and the various treatment regiments these children must be on. Monitoring the changing body composition in these children may help clinicians’ better address these effects in a timely manner in order to promote better growth and development and improve survival rate. The Tanita® BIA is an inexpensive and portable tool that can be used to access body composition. However, few studies have been conducted to determine its accuracy in measuring body composition in pediatric patients with chronic disease.Objective: To compare two anthropometrical methods, the Tanita® body composition analyzer (BIA) to the gold standard, the DXA, to determine if the Tanita® BIA is an accurate tool for measuring lean body mass in pediatric chronically ill patientsDesign: A convenience sample was obtained from the St. Jude EMR of children already scheduled for a DXA scan who met the inclusion criteria. The selected children also had their body composition analyzed by the B-C 418 Tanita® Body Composition Analyzer during their scheduled DXA scan appointment. These pediatric patients with chronic disease had the following measured: fat free mass (Tanita®) and lean + bone mineral content (DXA). The sample size consisted of 29 patients, 14 male subjects and 15 female subjects. All data was recorded on a data collection sheet (appendix A). The purpose of this study was to determine if the fat free mass obtained by standard Tanita® BIA correlates with the lean + bone mineral content obtained from the gold standard DXA among pediatric patients with a chronic disease.Statistical Analysis: Patient demographics were summarized for each group by descriptive statistics (mean and standard deviation). Gender, age (y), body weight (kg), height (cm), BMI (kg/m2), and fat mass (kg), and fat free mass (kg) as measured by both the Tanita-BIA and DXA were taken into account. Because males and females tend to differ by height, weight, BMI, and body composition results were presented for the total group and by gender. For correlation between groups, Pearson correlation coefficients were used. Bland-Altman plots were created to further test the agreement of the Tanita BIA and the DXA in measuring body composition. The mean bias and 95% limits of agreement between fat free mass and fat mass were estimated in the Bland-Altman plots, with the DXA as the gold standard and the Tanita BIA as the comparison. Bland–Altman regression analysis was used to assess whether the two measurements (DXA and BIA) agree with one another to an acceptable degree. Results: Overall, the Tanita and the DXA are highly correlated; however, there is better agreement between the Tanita and the DXA in males for fat free mass and fat mass measurements than in the females.Conclusion: The data collected from this study indicates that the Tanita® is an accurate tool for measuring lean body mass in pediatric chronically ill patients in order to monitor health status and appropriate growth and development. However, there is better agreement between the Tanita-BIA and the DXA in males for Fat Free mass and fat mass measurements than in the females

Comments

Data is provided by the student.

Library Comment

dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

Share

COinS