Jarvis Jocelyn E, Perez Jacqueline, Himmelgreen David, Dumford Amber D, Conner Kyaien, Stern Marilyn, DeBate Rita
Child & Family Studies, University of South Florida, Tampa, FL, USA.
College of Public Health, University of South Florida, Tampa, FL, USA.
Am J Health Promot. 2025 Mar;39(3):514-519. doi: 10.1177/08901171241302001. Epub 2024 Nov 19.
Given the high prevalence of food insecurity among college students, there is an interest in identifying whether the use of a single item can adequately screen for food insecurity. The current study aimed to determine the validity of a single-item food insecurity screening question among college students.
Cross-sectional study exploring food insecurity among racial and ethnic undergraduate college students.
Large urban U.S. research university.
Undergraduate students (n = 667) 18 years or older.
Food Insecurity screening was assessed via a single-item from the USDA Household Food Security Short Form (USDA FSSM-SF). Food security was assessed via the USDA FSSM-SF, a validated six-item scale that assesses food insecurity and hunger.
Logistic regression assessed the validity of the single-item food insecurity question tested against the USDA FSSM-SF.
The full model was statistically significant, χ2(1) = 161.44, < .001 explaining 54.5% of the variance in food insecurity status correctly classifying 95.7% of cases. Sensitivity of the model was found to be 97.6%; specificity was found to be 69.6%. Positive predictive value was calculated to be 97.74%; negative predictive value was computed to be 68.09%.
Results support for the test validity of a single-item screening question that can be used to detect food insecurity among college students and inform secondary prevention programs aimed at food insecurity.
鉴于大学生粮食不安全问题的高发生率,人们有兴趣确定使用单个项目是否能充分筛查粮食不安全状况。当前研究旨在确定大学生中单个项目的粮食不安全筛查问题的有效性。
探索种族和族裔本科大学生粮食不安全状况的横断面研究。
美国大型城市研究型大学。
18岁及以上的本科生(n = 667)。
通过美国农业部家庭粮食安全简短形式(USDA FSSM-SF)中的一个单项来评估粮食不安全筛查。通过USDA FSSM-SF评估粮食安全状况,这是一个经过验证的六项量表,用于评估粮食不安全和饥饿情况。
逻辑回归评估了与USDA FSSM-SF相对照测试的单个项目粮食不安全问题的有效性。
完整模型具有统计学意义,χ2(1) = 161.44,P <.001,解释了粮食不安全状况差异的54.5%,正确分类了95.7%的病例。发现该模型的敏感性为97.6%;特异性为69.6%。计算得出阳性预测值为97.74%;阴性预测值为68.09%。
结果支持单个项目筛查问题的测试有效性,该问题可用于检测大学生中的粮食不安全状况,并为针对粮食不安全的二级预防计划提供信息。