Center for Research on Child and Family Wellbeing, School of Public and International Affairs, Princeton University, Princeton, NJ, United States.
Department of Psychology, Dornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA, United States; Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, United States; Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, United States; Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States.
J Nutr. 2024 Aug;154(8):2566-2574. doi: 10.1016/j.tjnut.2024.05.020. Epub 2024 May 25.
National surveillance shows that food insecurity affects ∼1 in 10 Americans each year. Recently, experts have advocated for surveillance of nutrition insecurity alongside food insecurity. Nutrition security refers to the nutritional adequacy of accessible food and factors that impact one's ability to meet food preferences.
This study presents representative estimates of food insecurity and nutrition insecurity for Los Angeles County, CA, United States; compares predictors of these constructs; and examines whether they independently predict diet-related health outcomes.
In December 2022, a representative sample of Los Angeles County adults participating in the Understanding America Study (N = 1071) was surveyed about household food insecurity and nutrition insecurity over the past 12 months. Data were analyzed in 2023.
Reported rates were similar for food insecurity (24%) and nutrition insecurity (25%), but the overlap of these subgroups was less than 60%. Logistic regression models indicated that non-Hispanic Asian individuals had higher odds of nutrition insecurity but not food insecurity. Moreover, nutrition insecurity was a stronger predictor of diabetes compared with food insecurity, and both constructs independently predicted poor mental health.
Food and nutrition insecurity affect somewhat different populations. Both constructs are valuable predictors of diet-related health outcomes. Monitoring nutrition insecurity in addition to food insecurity can provide new information about populations with barriers to healthy diets.
国家监测显示,美国每年约有十分之一的人面临粮食不安全问题。最近,专家们提倡对营养不安全与粮食不安全进行同时监测。营养安全是指可获得食物的充足性以及影响人们满足食物偏好能力的因素。
本研究提出了美国加利福尼亚州洛杉矶县粮食不安全和营养不安全的代表性估计值;比较了这些结构的预测因素;并检验了它们是否独立预测与饮食相关的健康结果。
2022 年 12 月,参加“了解美国研究”的洛杉矶县代表性成年人样本(N=1071)接受了关于过去 12 个月家庭粮食不安全和营养不安全的调查。数据于 2023 年进行分析。
报告的粮食不安全(24%)和营养不安全(25%)发生率相似,但这些亚组的重叠率低于 60%。逻辑回归模型表明,非西班牙裔亚裔个体营养不安全的几率更高,但粮食不安全的几率则不然。此外,与粮食不安全相比,营养不安全是糖尿病的更强预测因素,而且这两个结构都独立预测了心理健康状况不佳。
粮食和营养不安全影响的人群略有不同。这两个结构都是与饮食相关的健康结果的有价值预测因素。除了监测粮食不安全外,监测营养不安全可以提供有关健康饮食障碍人群的新信息。