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The Prevalence of Food Security and Insecurity Among Illinois University Students: Reporting the Strength of Association

      We were interested to read the article by Morris and colleagues
      • Morris L.M.
      • Smith S.
      • Davis J.
      • Null D.B.
      The prevalence of food security and insecurity among Illinois university students.
      published in the Journal. The authors aimed to estimate the prevalence of the food security status of Illinois university students and to evaluate the association between sociodemographic characteristics and food security status. Their study demonstrated that the prevalence of food insecurity was 35.0% and that there were a significant association between sociodemographic characteristics including race, grade point average, loan use, and living location and food-insecure status.
      • Morris L.M.
      • Smith S.
      • Davis J.
      • Null D.B.
      The prevalence of food security and insecurity among Illinois university students.
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      References

        • Morris L.M.
        • Smith S.
        • Davis J.
        • Null D.B.
        The prevalence of food security and insecurity among Illinois university students.
        J Nutr Educ Behav. 2016; 48: 376-382
        • Field A.
        Discovering Statistics Using IBM SPSS statistics.
        SAGE Publication, Thousand Oaks, CA2013

      Linked Article

      • The Prevalence of Food Security and Insecurity Among Illinois University Students
        Journal of Nutrition Education and BehaviorVol. 48Issue 6
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          This study aims to define the food security status of Illinois university students and whether sociodemographic characteristics are related to that status.
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      • The Prevalence of Food Security and Insecurity Among Illinois University Students Response Letter
        Journal of Nutrition Education and BehaviorVol. 48Issue 9
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          Thank you for your comments1 concerning our findings on food insecurity among Illinois university students.2 We appreciate your insight and suggestions to use additional statistical methods to observe the demographic results of the study more closely. I was not familiar with the odds ratio analysis and chi-square testing of dichotomous variables. However, in our study and reported results, we did not use dichotomous variables, but for the purposes of your inquiry and suggestions I have created dichotomous variables for the following items: food insecurity (yes/no), race (African American/other), grade point average (GPA) (0–1.99/≥ 2.00), repay loans (yes/no), and live (off campus without parent/other).
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