Impacts of Digital Healthy Diet Literacy and Healthy Eating Behavior on Fear of COVID-19, Changes in Mental Health, and Health-Related Quality of Life among Front-Line Health Care Workers

Nutrients. 2021 Jul 30;13(8):2656. doi: 10.3390/nu13082656.

Abstract

Background: We aimed to examine the impacts of digital healthy diet literacy (DDL) and healthy eating behaviors (HES) on fear of COVID-19, changes in mental health, and health-related quality of life (HRQoL) among front-line healthcare workers (HCWs).

Methods: An online survey was conducted at 15 hospitals and health centers from 6-19 April 2020. Data of 2299 front-line HCWs were analyzed-including socio-demographics, symptoms like COVID-19, health literacy, eHealth literacy, DDL, HES, fear of COVID-19, changes in mental health, and HRQoL. Regression models were used to examine the associations.

Results: HCWs with higher scores of DDL and HES had lower scores of FCoV-19S (regression coefficient, B, -0.04; 95% confidence interval, 95% CI, -0.07, -0.02; p = 0.001; and B, -0.10; 95% CI, -0.15, -0.06; p < 0.001); had a higher likelihood of stable or better mental health status (odds ratio, OR, 1.02; 95% CI, 1.00, 1.05; p = 0.029; and OR, 1.04; 95% CI, 1.00, 1.07; p = 0.043); and HRQoL (OR, 1.02; 95% CI, 1.01, 1.03; p = 0.006; and OR, 1.04; 95% CI, 1.02, 1.06; p = 0.001), respectively.

Conclusions: DDL and HES were found as independent predictors of fear of COVID-19, changes in mental health status, and HRQoL in front-line HCWs. Improving DDL and HES should be considered as a strategic approach for hospitals and healthcare systems.

Keywords: Vietnam; digital healthy diet literacy; epidemic containment experience; fear of COVID-19; front-line health care workers; health literacy; health-related quality of life; healthy eating behavior; mental health; symptoms like COVID-19.

MeSH terms

  • Adult
  • COVID-19 / epidemiology
  • COVID-19 / psychology*
  • Cross-Sectional Studies
  • Diet, Healthy / methods
  • Digital Technology / methods
  • Fear
  • Feeding Behavior*
  • Female
  • Health Literacy / methods*
  • Health Personnel / psychology*
  • Health Status
  • Humans
  • Logistic Models
  • Male
  • Mental Health*
  • Middle Aged
  • Quality of Life*
  • SARS-CoV-2
  • Surveys and Questionnaires
  • Young Adult