Predictors of households at risk for food insecurity in the United States during the COVID-19 pandemic.

Abstract

To examine associations between sociodemographic and mental health characteristics with household risk for food insecurity during the COVID-19 outbreak. Cross-sectional online survey analysed using univariable tests and a multivariable logistic regression model. The United States during the week of 30 March 2020. A convenience sample of 1965 American adults using Amazon's Mechanical Turk platform. Participants reporting household food insecurity prior to the pandemic were excluded from analyses. One thousand two hundred and fifty participants reported household food security before the COVID-19 outbreak. Among this subset, 41 % were identified as at risk for food insecurity after COVID-19, 55 % were women and 73 % were white. On a multivariable analysis, race, income, relationship status, living situation, anxiety and depression were significantly associated with an incident risk for food insecurity. Black, Asian and Hispanic/Latino respondents, respondents with an annual income <$100000 and those living with children or others were significantly more likely to be newly at risk for food insecurity. Individuals at risk for food insecurity were 2·60 (95 % CI 1·91, 3·55) times more likely to screen positively for anxiety and 1·71 (95 % CI 1·21, 2·42) times more likely to screen positively for depression. An increased risk for food insecurity during the COVID-19 pandemic is common, and certain populations are particularly vulnerable. There are strong associations between being at risk for food insecurity and anxiety/depression. Interventions to increase access to healthful foods, especially among minority and low-income individuals, and ease the socioemotional effects of the outbreak are crucial to relieving the economic stress of this pandemic.