Prevalence and Predictors of Household Food Insecurity Among iCook 4-H Participants at Baseline: A Multivariable Binomial Logistic Modeling Approach

Authors

S. McElrone, University of Tennessee
S. Colby, University of TennesseeFollow
Adrienne A. White, University of MaineFollow
Lisa Franzen-Castle, University of Nebraska-LincolnFollow
Melissa D. Olfert, West Virginia UniversityFollow
Kendra Kattelmann, South Dakota State UniversityFollow

Document Type

Abstract

Publication Date

10-2017

Abstract

Learning Outcome: Determine baseline food insecurity prevalence and predictors among adult/youth dyads enrolled in the iCook 4-H childhood obesity prevention cooking-based intervention. Background: Food insecurity has been associated with socioeconomic factors (including income, education, and race/ethnicity) and weight status. Objective: Determine baseline food insecurity prevalence and predictors among adult/ youth dyads enrolled in the iCook 4-H childhood obesity prevention cooking-based intervention.

Publication Title

Journal of the Academy of Nutrition and Dietetics

Volume

117

Issue

10

First Page

A141

DOI of Published Version

10.1016/j.jand.2017.08.083

Recommended Citation

McElrone, S.; Colby, S.; White, Adrienne A.; Franzen-Castle, Lisa; Olfert, Melissa D.; and Kattelmann, Kendra, "Prevalence and Predictors of Household Food Insecurity Among iCook 4-H Participants at Baseline: A Multivariable Binomial Logistic Modeling Approach" (2017). Health and Nutritional Sciences Faculty Publications. 173.
https://openprairie.sdstate.edu/hns_pubs/173