Exploring COVID-19 anxiety in Iranian adult based on health literacy by moderating demographic variables: A structural equation model

The COVID-19 (coronavirus disease 2019) pandemic is associated with far-reaching psychological consequences, such as anxiety. The incidence and severity of this anxiety depend on several individual, family and social factors that need to be identified and planned for effective interventions. One of...

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Main Authors: Fatemeh Mohammadkhah, Abbas Shamsalinia, Fatemeh Shirinkam, Mahboubeh Daneshnia, Amaneh Mahmoudian, Nastaran Rafiei, Abolfazl Atashpoosh, Fatemeh Ghaffari
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021014390
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spelling doaj-c0becb7c2890471ca20e30a30fbb5dae2021-07-05T16:34:48ZengElsevierHeliyon2405-84402021-06-0176e07336Exploring COVID-19 anxiety in Iranian adult based on health literacy by moderating demographic variables: A structural equation modelFatemeh Mohammadkhah0Abbas Shamsalinia1Fatemeh Shirinkam2Mahboubeh Daneshnia3Amaneh Mahmoudian4Nastaran Rafiei5Abolfazl Atashpoosh6Fatemeh Ghaffari7Nursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, IranNursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, IranNursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, IranNursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, IranGolestan University of Medical Sciences, IranMazandaran University of Medical Sciences, Ramsar Health Network, Health Education Department, Ramsar, IranDepartment of Psychology, Lahijan Branch, Islamic Azad University, Lahijan, IranNursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran; Corresponding author.The COVID-19 (coronavirus disease 2019) pandemic is associated with far-reaching psychological consequences, such as anxiety. The incidence and severity of this anxiety depend on several individual, family and social factors that need to be identified and planned for effective interventions. One of these factors is health literacy (HL). The aim of this study was to determine the relationship between HL and demographic characteristics with COVID-19 anxiety in adults living in Iran at the time of coronavirus outbreak. This is a descriptive and correlational study conducted in Iran in 2021. Convenience and snowball sampling methods were used, and as the result, the number of samples reached to 560. Data were collected online through the demographic questionnaire, COVID-19 anxiety scale (CAS) and health literacy questionnaire for adults (HLQ for adults). Data were analyzed using Amos 26, SPSS 26 software and structural equational modeling (SEM) based on covariance. Significance level in this study was considered 0.05. The results of this study showed that the fit of the modify model is confirmed and HL explains 54% of the changes in anxiety in the model (β = -0.709). The variables of gender, history of chronic disease, positive history of COVID 19 and receiving social support have a moderating role in the relationship between HL and COVID-19 anxiety. Due to the great predicting role of HL in COVID-19 anxiety, it is recommended that programs be developed and implemented during the outbreak of the disease by experts and the public health policy makers to increase HL in physical and mental dimensions.http://www.sciencedirect.com/science/article/pii/S2405844021014390Structural equation modelingCoronavirus anxietyHealth literacyAdult populationCoronavirus outbreakCoronavirus disease 2019
collection DOAJ
language English
format Article
sources DOAJ
author Fatemeh Mohammadkhah
Abbas Shamsalinia
Fatemeh Shirinkam
Mahboubeh Daneshnia
Amaneh Mahmoudian
Nastaran Rafiei
Abolfazl Atashpoosh
Fatemeh Ghaffari
spellingShingle Fatemeh Mohammadkhah
Abbas Shamsalinia
Fatemeh Shirinkam
Mahboubeh Daneshnia
Amaneh Mahmoudian
Nastaran Rafiei
Abolfazl Atashpoosh
Fatemeh Ghaffari
Exploring COVID-19 anxiety in Iranian adult based on health literacy by moderating demographic variables: A structural equation model
Heliyon
Structural equation modeling
Coronavirus anxiety
Health literacy
Adult population
Coronavirus outbreak
Coronavirus disease 2019
author_facet Fatemeh Mohammadkhah
Abbas Shamsalinia
Fatemeh Shirinkam
Mahboubeh Daneshnia
Amaneh Mahmoudian
Nastaran Rafiei
Abolfazl Atashpoosh
Fatemeh Ghaffari
author_sort Fatemeh Mohammadkhah
title Exploring COVID-19 anxiety in Iranian adult based on health literacy by moderating demographic variables: A structural equation model
title_short Exploring COVID-19 anxiety in Iranian adult based on health literacy by moderating demographic variables: A structural equation model
title_full Exploring COVID-19 anxiety in Iranian adult based on health literacy by moderating demographic variables: A structural equation model
title_fullStr Exploring COVID-19 anxiety in Iranian adult based on health literacy by moderating demographic variables: A structural equation model
title_full_unstemmed Exploring COVID-19 anxiety in Iranian adult based on health literacy by moderating demographic variables: A structural equation model
title_sort exploring covid-19 anxiety in iranian adult based on health literacy by moderating demographic variables: a structural equation model
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2021-06-01
description The COVID-19 (coronavirus disease 2019) pandemic is associated with far-reaching psychological consequences, such as anxiety. The incidence and severity of this anxiety depend on several individual, family and social factors that need to be identified and planned for effective interventions. One of these factors is health literacy (HL). The aim of this study was to determine the relationship between HL and demographic characteristics with COVID-19 anxiety in adults living in Iran at the time of coronavirus outbreak. This is a descriptive and correlational study conducted in Iran in 2021. Convenience and snowball sampling methods were used, and as the result, the number of samples reached to 560. Data were collected online through the demographic questionnaire, COVID-19 anxiety scale (CAS) and health literacy questionnaire for adults (HLQ for adults). Data were analyzed using Amos 26, SPSS 26 software and structural equational modeling (SEM) based on covariance. Significance level in this study was considered 0.05. The results of this study showed that the fit of the modify model is confirmed and HL explains 54% of the changes in anxiety in the model (β = -0.709). The variables of gender, history of chronic disease, positive history of COVID 19 and receiving social support have a moderating role in the relationship between HL and COVID-19 anxiety. Due to the great predicting role of HL in COVID-19 anxiety, it is recommended that programs be developed and implemented during the outbreak of the disease by experts and the public health policy makers to increase HL in physical and mental dimensions.
topic Structural equation modeling
Coronavirus anxiety
Health literacy
Adult population
Coronavirus outbreak
Coronavirus disease 2019
url http://www.sciencedirect.com/science/article/pii/S2405844021014390
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