Exploring a combined quantitative and qualitative research approach in developing a culturally competent dietary behavior assessment instrument

Show full item record

Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/29718

Title: Exploring a combined quantitative and qualitative research approach in developing a culturally competent dietary behavior assessment instrument
Author: Jones, Willie Brad
Abstract: Cultural competence is widely recognized as an essential strategy for reducing health disparities. As the United States' population becomes increasingly ethno-culturally diverse, these disparities are becoming even more pronounced. One particular challenge in this regard concerns overweight/obesity prevalence among American adults, as a disproportionately high number of racial and ethnic minority adults are classified as overweight or obese. Dietary behavior assessments are often utilized by health and human services professionals to obtain the data necessary to promote goals such as the reduction and elimination of overweight/obesity across all ethno-cultural groups. The primary objective of this research study was to develop, test, and evaluate a culturally-competent dietary behavior assessment instrument by effectively synthesizing qualitative methods from Cognitive Anthropology with appropriate survey research and quantitative statistical methods. Specifically, a quantitative methods triangle of hierarchical cluster analysis, binary logistic regression, and Poisson regression in conjunction with the free listing qualitative research technique from Cognitive Anthropology was explored as a possible combined methodological approach for researchers and public health professionals wishing to develop a comprehensive understanding of dietary behaviors at the local community level. Binary logistic regression and Poisson regression enabled the relationship between selected food categories and certain demographic/cultural indicators to be modeled, while hierarchical cluster analyses enabled modeling of the distinct patterns of food category groupings that comprise individuals' regular diet. Additionally, initial qualitative analyses of the raw data promoted an understanding of the influence that the local fast food and dine-in restaurant environment has on the dietary behaviors of the target population. The results of this study suggest that a quantitative methods triangle of hierarchical cluster analysis, binary logistic regression analysis, and Poisson regression analysis founded upon qualitative research principles has potential for use as a combined methodological approach for researchers and public health professionals wishing to develop a comprehensive understanding of dietary behaviors at the local community level. By employing these techniques, researchers can analyze individual dietary behaviors and eating patterns from a multifaceted perspective. In turn, public health professionals can develop community-based, cross-culturally relevant programs and interventions that are equally effective across all ethno-cultural groups in their target population.
Type: Dissertation
URI: http://hdl.handle.net/1853/29718
Date: 2009-06-22
Publisher: Georgia Institute of Technology
Subject: Rural Georgia
Latino immigrants
Survey research
Poisson regression
Mixed methods
Dietary behavior assessments
Community health assessments
Cultural competence
Hierachical clustering analysis
Binary logistic regression
Cultural pluralism
Minorities
Food habits
Diet
Obesity
Logistic regression analysis
Department: Industrial and Systems Engineering
Advisor: Committee Chair: Vidakovic, Branislav; Committee Member: Edwards, Paula; Committee Member: Griffin, Paul; Committee Member: Grinter, Rebecca; Committee Member: Mullis, Rebecca
Degree: Ph.D.

All materials in SMARTech are protected under U.S. Copyright Law and all rights are reserved, unless otherwise specifically indicated on or in the materials.

Files in this item

Files Size Format View
jones_willie_b_200908_phd.pdf 955.3Kb PDF View/ Open

This item appears in the following Collection(s)

Show full item record