Changes in Food Consumption Patterns After the Onset of the COVID-19 Pandemic Based on Age and Sex

<b>Background</b>: The global outbreak of Coronavirus Disease 2019 (COVID-19) has significantly altered everyday routines, even influencing dietary behaviors and food choices. This study aimed to investigate the impact of the COVID-19 pandemic on changes in the consumption of various food sources and to examine the likelihood of nutritional vulnerability while exploring potential age and sex differences. <b>Methods</b>: This study employed a cross-sectional design through an online survey using the Qualtrics platform. Participants' nutritional risk was assessed both before and after the onset of the COVID-19 pandemic (retrospectively) using the Dietary Screening Tool. This study involved a large sample of 10,050 participants aged between 40 and 100 years. The main outcome measures included changes in food consumption after the onset of the COVID-19 pandemic (from 9 August to 15 September 2020) and the likelihood of being classified as "nutritionally vulnerable" across different age and sex groups. Paired-samples <i>t</i>-tests were used to compare dietary changes before and after the onset of the COVID-19 pandemic, chi-square tests were used to explore categorical differences, and binary logistic regression was used to assess the likelihood of nutritional vulnerability. <b>Results</b>: The analysis revealed significant sex- and age-related differences in food consumption patterns after the onset of the pandemic. Men had a 30% greater likelihood of decreased dairy and processed meat consumption than women after the onset of the COVID-19 pandemic. Significant reductions in the consumption of processed meats (130%), vegetables (96%), lean protein (33%), and dairy (11%) were observed among individuals aged 40-60 years compared to those aged 81-100 years. The 61-80-year age group had a greater reduction in dairy consumption (21%) than the 81-100-year age group. Furthermore, women exhibited 17% greater odds of being classified as "nutritionally vulnerable" after the onset of the COVID-19 pandemic. However, age did not emerge as a significant predictor of nutritional vulnerability. <b>Conclusions</b>: The findings of this study can inform public health practitioners when developing interventions for improving dietary habits during and after pandemics, especially among vulnerable populations.

Authors

Institutions

Publication Details

Journal
Nutrients
Published
2025-05-22
DOI
https://doi.org/10.3390/nu17111754
Citations
1
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Changes in Food Consumption Patterns After the Onset of the COVID-19 Pandemic Based on Age and Sex

Lillie Monroe-Lord, Tia Jeffery, Azam Ardakani, Phronie Jackson et al.
1 citations
Nutrients
COVID-19 and Mental Health
2.31
article

Changes in Food Consumption Patterns After the Onset of the COVID-19 Pandemic Based on Age and Sex

Lillie Monroe-Lord, Tia Jeffery, Azam Ardakani, Phronie Jackson, Xuejing Duan, Elmira T. Asongwed, Ricardo A. Brown
article en
1 citations

Abstract

<b>Background</b>: The global outbreak of Coronavirus Disease 2019 (COVID-19) has significantly altered everyday routines, even influencing dietary behaviors and food choices. This study aimed to investigate the impact of the COVID-19 pandemic on changes in the consumption of various food sources and to examine the likelihood of nutritional vulnerability while exploring potential age and sex differences. <b>Methods</b>: This study employed a cross-sectional design through an online survey using the Qualtrics platform. Participants' nutritional risk was assessed both before and after the onset of the COVID-19 pandemic (retrospectively) using the Dietary Screening Tool. This study involved a large sample of 10,050 participants aged between 40 and 100 years. The main outcome measures included changes in food consumption after the onset of the COVID-19 pandemic (from 9 August to 15 September 2020) and the likelihood of being classified as "nutritionally vulnerable" across different age and sex groups. Paired-samples <i>t</i>-tests were used to compare dietary changes before and after the onset of the COVID-19 pandemic, chi-square tests were used to explore categorical differences, and binary logistic regression was used to assess the likelihood of nutritional vulnerability. <b>Results</b>: The analysis revealed significant sex- and age-related differences in food consumption patterns after the onset of the pandemic. Men had a 30% greater likelihood of decreased dairy and processed meat consumption than women after the onset of the COVID-19 pandemic. Significant reductions in the consumption of processed meats (130%), vegetables (96%), lean protein (33%), and dairy (11%) were observed among individuals aged 40-60 years compared to those aged 81-100 years. The 61-80-year age group had a greater reduction in dairy consumption (21%) than the 81-100-year age group. Furthermore, women exhibited 17% greater odds of being classified as "nutritionally vulnerable" after the onset of the COVID-19 pandemic. However, age did not emerge as a significant predictor of nutritional vulnerability. <b>Conclusions</b>: The findings of this study can inform public health practitioners when developing interventions for improving dietary habits during and after pandemics, especially among vulnerable populations.

NutrientsVol. 17(11)
McDaniel College (US), University of the District of Columbia (US)
Zero hunger
Openalex Percentile: Top 14%
COVID-19 and Mental Health
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.