Changes in Food Consumption Trends among American Adults since the COVID-19 Pandemic.
Lillie Monroe-LordElgloria A HarrisonAzam ArdakaniXuejling DuanLily SpechlerTia D JefferyPhronie JacksonPublished in: Nutrients (2023)
The quality and quantity of food consumption have changed due to the COVID-19 pandemic. In this study, we examined how the COVID-19 pandemic has changed the consumption of different food groups in order to close the research gap by providing current evidence that reflects a later stage of the pandemic compared to other circulating research conducted at earlier stages. Data collection for this cross-sectional study was performed via an online Qualtrics survey from 10,050 adults aged 40-100 years. Nutritional status was measured using the 24-item short-form Dietary Screening Tool (DST) twice: before and since the COVID-19 pandemic. The DST questions were categorized based on MyPlate items, along with fat, sugar, and sweet items, as well as nutritional supplement intake. In addition, the total DST score was calculated for each participant, which categorized them into one of three groups: "at risk", "possible risk", and "not at risk". The results revealed that the consumption of grains, fruit, lean protein, and dairy decreased significantly, while the consumption of fat, sugar, and sweet items increased significantly due to COVID-19. The biggest decreases in consumption of food subcategories were related to whole grain bread and cereal, followed by fruit as a snack, in comparison with other types of grain and fruit. No changes in the consumption of vegetables, processed meat, or supplement intake were seen. The total DST score showed that, before and since COVID-19, the overall nutrition status of adult Americans has been at risk. In addition, of those participants who were not at risk before COVID-19, 28.5% were either at risk or at possible risk since COVID-19; moreover, of those participants who were at possible risk before COVID-19, 21% were at risk since COVID-19. As a good nutritional status can reduce the risk of severe illness or even mortality rate in times of crisis, the findings of this study can help policymakers and health educators to develop heath-protecting behavior sessions against future pandemics to manage crises.
Keyphrases
- coronavirus disease
- sars cov
- respiratory syndrome coronavirus
- human health
- public health
- adipose tissue
- healthcare
- physical activity
- cardiovascular disease
- risk assessment
- body mass index
- risk factors
- weight gain
- weight loss
- big data
- current status
- machine learning
- health information
- binding protein
- climate change
- deep learning
- postmenopausal women