Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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Background: Hispanic women are at high risk for Type 2 Diabetes (T2D), in part due to their high prevalence of obesity, which may influence the development of insulin resistance and disease onset. Unhealthy eating contributes to T2D risk. Dietary patterns are the combination of total foods and beverages among individual’s over time, but there is limited information regarding its role on T2D risk factors among Hispanic women. Objective: To identify a posteriori dietary patterns and their associations with diabetes risk factors (age, BMI, abdominal obesity, elevated fasting blood glucose, and hemoglobin A1c) among overweight/obese Hispanic women. Design: Cross-sectional dietary data were collected among 191 women with or at risk for T2D using the Southwestern Food Frequency Questionnaire capturing the prior three months of intake. Dietary patterns were derived using exploratory factor analysis. Regression scores were used to explore associations between dietary patterns and diabetes risk factors. Results: The patterns derived were: 1) “sugar and fat-laden”, with high loads of sweets, drinks, pastries, and fats; 2) “plant foods and fish”, with high loads of vegetables, fruits, fish, and beans; 3) “soups and starchy dishes”, with high loads of soups, starchy foods, and mixed dishes; 4) “meats and snacks”, with high loads of red meat, salty snacks, and condiments; 5) “beans and grains”, with high loads of beans and seeds, whole-wheat and refined grain foods, fish, and alcohol; and 6) “eggs and dairy”, with high loads of eggs, dairy, and fats. The “sugar and fat-laden” and “meats and snacks” patterns were negatively associated with age (r= -0.230, p= 0.001 and r= -0.298, p<0.001, respectively). Scores for “plant foods and fish” were associated with fasting blood glucose (r= 0.152, p= 0.037). There were no other statistically significant relationships between the dietary patterns and risk factors for T2D. Conclusions: A variety of patterns with healthy and unhealthy traits among Hispanic women were observed. Being younger may play an important role in adhering to a dietary pattern rich in sugary and high-fat foods and highlights the importance of assessing dietary patterns among young women to early identify dietary traits detrimental for their health.
ContributorsArias-Gastelum, Mayra (Author) / Vega-Lopez, Sonia (Thesis advisor) / Der Ananian, Cheryl (Committee member) / Whisner, Corrie (Committee member) / Bruening, Meg (Committee member) / Hooker, Steven (Committee member) / Arizona State University (Publisher)
Created2018
Description
Introduction: The incidence of type 2 diabetes (T2D) in youth is projected to increase through 2060, especially in minority youth. Every Little Step Counts (ELSC) has demonstrated efficacy in reducing T2D risk factors in Latino youth. Documenting the adaptation of ELSC to a family diabetes prevention program (FDPP) could support future adaptation and scaling of FDPPs.Purpose: To describe the process that guided the adaptation of a culturally grounded evidenced-based DPP tailored to Latino families, with the aim of using the Framework for Reporting Adaptations and Modifications-Enhanced (FRAME) to classify adaptations.
Methods/Design: The approach that guided the adaptation involved community-based participatory research (CBPR) and phases commonly used to adapt health interventions. Inductive and deductive content analysis guided by the FRAME was conducted on data collected throughout the phases to identify and classify adaptations. Data was then triangulated with the entities involved in the adaptation, analyzed to determine the frequency and proportion of adaptations across the FRAME categories and levels, and cross tabulated.
Results: A total of N=66 adaptations were identified. Adaptations occurred with the highest frequency during the grant preparation and after the pilot study. Most adaptations were led by both the academic institution and community partners. Content modifications were most common. Prominent reasons for adaptation included organization/setting time constraints and integrating community partners’ and interventionists’ feedback.
Discussion: Study results align with the CBPR approach that guided the adaptation and the ELSC core tenet of integrating community partnerships throughout all aspects of the intervention. To efficiently track adaptations, consensus as to what constitutes varying levels of adaptation granularity (i.e., macro, meso, micro) is needed. While tracking adaptations can be time and resource intensive, tracking adaptations may support the development of strategies to tie adaptations to outcomes.
Conclusion: It is critical to determine when adaptations are needed to avoid a “culture of adaptation hyperactivity”. There is an opportunity to analyze past and future ELSC adaptations to better understand the intervention’s core tenets and the relationship between adaptations and outcomes. Future ELSC adaptations would benefit from considering how to incorporate feedback from diverse stakeholders and populations in preparation for scaling.
ContributorsDiaz, Monica (Author) / Shaibi, Gabriel Q (Thesis advisor) / Bruening, Meg (Committee member) / Shepard, Christina (Committee member) / Arizona State University (Publisher)
Created2024