| Affiliations: | |
| Project Leader: | Alexandra MacMillan Uribe, Ph.D. macmillanuribe@ag.tamu.edu Nutrition and Food Science |
| Faculty Mentor: | |
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Meeting Times:
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TBA |
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Team Size:
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7 |
| Open Spots: | 0 |
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Special Opportunities:
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Team members who are creative or have strong writing/analytic skills may have additional opportunities to publish or coauthor conference abstracts, manuscripts, or generate products that share information with community stakeholders. Team members in the Dallas area may have opportunities to be involved with additional data collection (i.e., in-person interviews or surveys)
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Team Needs:
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Required competencies/skills include 1) familiarity with nutrition/dietetics, 2) ability to work well with other team members, 3) demonstrated commitment to health equity, 4) excellent organization and time management skills. Ability to speak and write in Spanish is strongly preferred. Most team meetings will occur virtually, but 1-2 meetings per semester may occur in person |
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Description:
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Increased fruit and vegetable (FV) intake is associated with a myriad of positive health outcomes (e.g., reduced risk of obesity, cardiovascular disease, cancer), yet only 33% of children (1-3 years old) met the recommended fruit servings and 13% met the vegetable recommendations, with income and neighborhood access playing a strong role in impeding FV intake. To help resolve this issue through effective health promotion interventions, it is critical to better understand how to increase FV intake using a community-informed approach. This project will characterize FV consumption among infants and their caregivers from low-income, low-healthy-food access neighborhoods in Dallas, TX through a cross-sectional survey and understand strategies for increasing FV consumption using a qualitative positive deviance approach. Participation in this project will help students increase their knowledge about health equity, food access, and maternal and child nutrition. Additionally, students will gain skills in quantitative methods through analysis of a cross-sectional survey and qualitative methods skills through moderating and analyzing in-depth interviews |