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Food consumption changes among teachers during the COVID-19 pandemic
- Source :
- Obesity Medicine
- Publication Year :
- 2021
- Publisher :
- Elsevier Ltd., 2021.
-
Abstract
- The present study aimed to analyze changes in food consumption among teachers of state schools in Minas Gerais in the context of the pandemic of coronavirus disease 2019 (COVID-19). This is a cross-sectional study of teachers at elementary, middle, and high schools in Minas Gerais. An online questionnaire was made available to all participants through the Google Forms platform. For the analysis, sociodemographic, economic, occupational profile, health conditions, and behavioral/habitual variables were used. Food consumption was assessed through the weekly frequency of eating foods considered healthy and unhealthy before and during the pandemic. The changes observed in the frequency were classified as: decreased intake, no change in intake, and increased intake during the pandemic. Statistical analysis was performed using bivariate and multiple analysis using the Multinomial Logistics Regression model. The data were tabulated with the aid of the Statistical Package for Social Sciences (SPSS), version 18.0. A total of 15,641 teachers participated in this study, with an average age of 42.96 (±9.27) years, and most of them were female (81.9%). During the pandemic, approximately 40% reported altered sleep quality and alcohol consumption, and lack of physical activity with 60.4% of the professionals categorized as overweight. During this period, there was an increase in the consumption of sweets (19.5%), soft drinks (13.3%), sausages (12.0%), frozen foods (8.9%), salty foods (6.3%), vegetables (13.1%), fruits (12.6%), and wholegrain products (8.3%). In the regression analysis, several factors were found to be associated with changes in teachers' food consumption in a bidirectional way when associated with variables related to sociodemographic characteristics, occupational profile, general health, and lifestyle.
- Subjects :
- Consumption (economics)
School teachers
business.industry
Endocrinology, Diabetes and Metabolism
Public Health, Environmental and Occupational Health
COVID-19
Context (language use)
Regression analysis
Bivariate analysis
Computer-assisted web interviewing
Overweight
Logistic regression
Article
Environmental health
Pandemic
Internal Medicine
medicine
Food consumption
medicine.symptom
business
Subjects
Details
- Language :
- English
- ISSN :
- 24518476
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Obesity Medicine
- Accession number :
- edsair.doi.dedup.....0efaba224e1ce4070557f5074e780a10