Study
IDATA
(Learn more about this study)
Project ID
IDATA-3
Initial CDAS Request Approval
Jul 26, 2016
Title
Accuracy of physical activity and eating behavior assessment with diverse outcome measures in 50 - 74-year-old adults
Summary
The array of assessment tools to measure physical activity and eating behaviors in diverse populations is vast. However, the accuracy of these assessment tools to estimate energy expenditure is questionable even more in the elderly population. We will explore which of these combination of outcomes can help estimate more accurately total energy expenditure. Although self-reported measures of physical activity have the convenience for large-scale studies they have shown low correlations with objective measures of physical activity due to over or under estimation depending in the population of interest. Therefore, this proposal will aid determine which self-reported measures correlate with objective measures of physical activity in the elderly population. All these assessments of physical activity and eating behaviors pursue to elucidate part of the obesity epidemic in our Nation. Assessment of the different eating behaviors and physical activity patterns of this population will help predict specific categories of body composition, such as normal, overweight, and obese.
Aims
Aim: Lifestyle behaviors such as physical activity and eating patterns are related to body composition. Our research question is:
What physical activity measures (self-reported or objective) and eating behaviors predict specific categories of body composition, such as normal, overweight, and obese? This question will be answered by looking at the association between Physical Activity and eating behavior as predictors on ordinal variables of body composition as an outcome.
Data Analysis: Multiple Linear Regression will be performed to examine the effect of PA and eating behavior on the measurement of body composition.
Collaborators
1. Dr. Mindy Maziarz, PhD, RDN; Department of Nutrition & Food Sciences, Texas Woman's University-Houston
2. Wanyi Wang, PhD; Office of Research & Sponsored Programs, Texas Woman's University-Houston
