Physical distancing and economic impacts of the COVID-19 pandemic may influence dietary behaviors. Using a parallel mixed method design, we examined the relationships between structural and perceived social relationships on dietary behaviors across the adult lifespan and by food security status. A representative sample of 360 adults (18–78 years old) living in the United States were recruited through Prolific Academic to complete an online cross-sectional survey. Participants provided data about demographics, food insecurity, structural and perceived social relationships, diet quality, and unhealthy snacking at the onset of the pandemic. Participants responded to open-ended questions about perceived changes in social connections and dietary behavior since COVID-19. Quantitative findings indicated food insecure emerging and older adults were at highest risk for low diet quality and frequent unhealthy snacking. Friend support was associated with higher diet quality. Qualitative findings suggested overall decreases in social connection and changes in dietary behavior, with food insecure adults describing decreases in diet quality. Participants who reported increases in emotional eating also reported decreases in social connection. Findings suggest the pandemic may exacerbate inequalities, particularly among food insecure emerging and older adults. Scaling up preventive interventions to increase social connection and reduce food insecurity during unprecedented challenges may promote healthier dietary behaviors now and in the long-term.

The COVID-19 pandemic led to unique, pervasive, and changing global impacts. It is imperative to characterize groups of individuals based on modifiable factors, and to describe how groups have been impacted by the continuing pandemic in the United States to promote health and well-being and to inform preventive interventions. We used latent transition analysis to identify subgroups of modifiable psychosocial, economic, and health risk factors; to explore subgroup shifts across time; and to assess the prevalence of non-modifiable factors associated with subgroup membership. We recruited 450 participants 18 years and older living in the United States to complete a longitudinal survey exploring health during the pandemic. Participants completed three waves of data collection from April to November 2020. We used latent transition analysis to identify statuses, shifts in prevalence over three waves, and the relationships of non-modifiable covariates with each status. Five statuses were identified: high risk together, low risk together, high risk alone, low risk alone, and financial risk together. Statuses were relatively stable over time; the majority (60%–66%) of participants were in statuses categorized by multiple indicators of high modifiable risk, and the largest transitions were to lower risk subgroups. Increasing age, being male, and living in an urban area were the only non-modifiable covariates associated with status membership. It is imperative to continue to scale up targeted interventions aimed at promoting resilience, well-being, financial well-being, delays in healthcare use, food insecurity, and depression among individuals in higher-risk subgroups to promote health and well-being.