Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA.
Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA.
Int J Environ Res Public Health. 2024 Aug 16;21(8):1078. doi: 10.3390/ijerph21081078.
Food insecurity increased during the COVID-19 pandemic, but the impact varied across different age groups during the prolonged public health emergency. This study sought to describe national food insecurity prevalence by adult age group at multiple stages of the pandemic and explore differences by demographic characteristics. Data were from the nationally representative US Census Bureau's Household Pulse Survey from April 2020 to May 2023 (N = 4,153,462). Locally weighted scatterplot smoothing (LOESS) regression analysis identified change points in food insecurity trends, segmenting the timeline into three periods: (1) April 2020-March 2021, (2) April 2021-May 2022, and (3) June 2022-May 2023. Logistic regression models examined associations between age, time period, and self-reported household food insecurity; covariates included demographics, socioeconomic status, household structure, and food support program usage. Overall, 9.3% of respondents experienced food insecurity, ranging from 3.5% among those aged ≥75 to 12.2% for ages 35-44 years. Significant interaction between age group and time period indicated inconsistency in the age-food insecurity association during the pandemic ( < 0.001). From Period 1 to 3, the proportion of food-insecure adults aged ≥65 rose from 9.2% to 13.9%. Across all age groups, higher odds of food insecurity were found among Black, Hispanic/Latino, or Other/Multiracial respondents; those with less than a Bachelor's degree; those with incomes below USD 35,000; those unemployed for reasons other than retirement; and non-homeowners ( < 0.001). The results show that trends and characteristics associated with food insecurity varied across age groups and time periods. Continuous monitoring of food insecurity during emergencies is critical to identify vulnerable populations and timely interventions.
食品安全在 COVID-19 大流行期间有所增加,但在长期公共卫生紧急情况下,不同年龄组的影响有所不同。本研究旨在描述大流行多个阶段不同成年年龄组的全国食品安全不足发生率,并探讨人口统计学特征的差异。数据来自全国代表性的美国人口普查局家庭脉搏调查,时间为 2020 年 4 月至 2023 年 5 月(N=4153462)。局部加权散点平滑(LOESS)回归分析确定了食品安全趋势变化的转折点,将时间线分为三个时期:(1)2020 年 4 月至 2021 年 3 月,(2)2021 年 4 月至 2022 年 5 月,以及(3)2022 年 6 月至 2023 年 5 月。逻辑回归模型检验了年龄、时间段和自我报告的家庭食品安全之间的关联;协变量包括人口统计学、社会经济地位、家庭结构和食品支持计划的使用。总体而言,9.3%的受访者经历了食品安全不足,其中年龄≥75 岁的受访者为 3.5%,年龄 35-44 岁的受访者为 12.2%。年龄组和时间段之间的显著交互作用表明,大流行期间年龄与食品安全之间的关联不一致(<0.001)。从第 1 期到第 3 期,年龄≥65 岁的食品不安全成年人比例从 9.2%上升到 13.9%。在所有年龄组中,黑人和西班牙裔/拉丁裔或其他/多种族受访者、没有学士学位的受访者、收入低于 35000 美元的受访者、因退休以外的原因失业的受访者以及非房主(<0.001)更有可能出现食品安全不足。结果表明,食品安全不足的趋势和特征因年龄组和时间段而异。在紧急情况下持续监测食品安全对于识别弱势群体和及时干预至关重要。