Prevention Research Center for Healthy Neighborhoods, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio.
Case Western Reserve University, 11000 Cedar Ave, BioEnterprise Building, 4th Fl, Cleveland, OH 44106. Email:
Prev Chronic Dis. 2023 Jan 19;20:E03. doi: 10.5888/pcd20.220212.
The objective of this study was to characterize population-level trajectories in the probability of food insecurity in the US during the first year of the COVID-19 pandemic and to examine sociodemographic correlates associated with identified trajectories.
We analyzed data from the Understanding America Study survey, a nationally representative panel (N = 7,944) that assessed food insecurity every 2 weeks from April 1, 2020, through March 16, 2021. We used latent class growth analysis to determine patterns (or classes) of pandemic-related food insecurity during a 1-year period.
We found 10 classes of trajectories of food insecurity, including 1 class of consistent food security (64.7%), 1 class of consistent food insecurity (3.4%), 5 classes of decreasing food insecurity (15.8%), 2 classes of increasing food insecurity (4.6%), and 1 class of stable but elevated food insecurity (11.6%). Relative to the class that remained food secure, other classes were younger, had a greater proportion of women, and tended to identify with a racial or ethnic minority group.
We found heterogeneous longitudinal patterns in the development, resolution, or persistence of food insecurity during the first year of the COVID-19 pandemic. Experiences of food insecurity were highly variable across the US population, with one-third experiencing some form of food insecurity risk. Findings have implications for identifying population groups who are at increased risk of food insecurity and related health disparities beyond the first year of the pandemic.
本研究旨在描述美国在 COVID-19 大流行第一年食物无保障概率的人群水平轨迹,并探讨与确定轨迹相关的社会人口学因素。
我们分析了“理解美国研究”调查的数据,这是一个全国代表性的小组(N=7944),从 2020 年 4 月 1 日至 2021 年 3 月 16 日,每两周评估一次食物无保障情况。我们使用潜在类别增长分析来确定在 1 年内与大流行相关的食物无保障的模式(或类别)。
我们发现了 10 种食物无保障的轨迹类别,包括 1 种持续食物安全(64.7%)、1 种持续食物不安全(3.4%)、5 种食物无保障程度降低(15.8%)、2 种食物无保障程度增加(4.6%)和 1 种稳定但食物无保障程度升高(11.6%)。与保持食物安全的类别相比,其他类别更年轻,女性比例更大,并且倾向于认同少数种族或族裔群体。
我们发现,在 COVID-19 大流行的第一年,食物无保障的发展、解决或持续存在存在异质的纵向模式。美国人口中食物无保障的经历高度多样化,三分之一的人面临某种形式的食物无保障风险。这些发现对于确定在大流行后的第一年中,哪些人群面临更高的食物无保障风险以及相关的健康差距具有重要意义。