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Context-Dependent Responses to the Spread of COVID-19 Among National and International Students During the First Lockdown: An Online Survey

Published online by Cambridge University Press:  08 September 2023

Marta Andreatta*
Affiliation:
Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Netherlands
Joran Jongerling
Affiliation:
Department of Methodology and Statistics, Tilburg School of Social and Behavioral Science, Tilburg, Netherlands
Matthias J. Wieser
Affiliation:
Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Netherlands
*
Corresponding author: Marta Andreatta; Email: andreatta@essb.eur.nl.
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Abstract

Background:

Restrictions to minimize social contact was necessary to prevent the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus but may have impacted individuals’ mental well-being. Emotional responses are modulated by contextual information. Living abroad during the coronavirus disease 2019 (COVID-19) pandemic may have boosted the feeling of isolation as the context is unfamiliar.

Objectives:

This study compared the psychological impact of social distancing in national students (living in a familiar context) versus international students (living in an unfamiliar context).

Methods:

During March/April 2020 (first lockdown in the Netherlands), 850 university students completed an online survey. Structural equation modeling (SEM) was conducted to compare how students’ responses to the virus were predicted by health anxiety, emotional distress, and personal traits.

Results:

Compared with national students, international students showed higher levels in 4 identified factors (COVID-19-related worry, perceived risk of infection, distance from possibly contaminated objects, distance from social situations). The factors were mainly predicted by health anxiety across international students, while emotional distress and individual traits (eg, intolerance of uncertainty) played a role across national students.

Conclusions:

In the familiar context, individual characteristics (traits) predicted the responses to the virus, while the unfamiliar context drove individuals’ health-focused responses. Living in a foreign country is associated with psychological burdens and this should be considered by universities for more pronounced social support and clear references to health-related institutions.

Information

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health
Figure 0

Table 1.Overview of sociodemographic variables and mental health questionnaires, separated for national and international students

Figure 1

Table 2.Items for the COVID-inventory

Figure 2

Table 3.Parallel factor analysis merged for the COVID-Inventory and COVID-Behavior

Figure 3

Figure 1.Confirmatory factor analysis (CFA). The boxes on the bottom depict the observed variables (ie, the items of the 2 COVID-related questionnaires) with the intercepts and the variance (in grey). The circles depict the latent variables (ie, the factors). The solid black lines indicate the betas for each item in relation to the factors. The dotted lines on the top represent the covariance between the factors.

Figure 4

Figure 2.Results of the structural equation model (SEM). The boxes on the bottom and the top depict the questionnaires (and their sum scores). Blue lines depict negative predictions, while blue lines positive predictions. The factor perceived risk of infection (infection) was predicted by any questionnaire, and ASI predicted any factor. COVID-19-related worry (worry), physical (physical) and social (social) distancing were predicted negatively by trait anxiety (STAI X2) but positively by fear of contamination (FoC). Both body vigilance (BVS) and Beck Depression Inventory (BDI) positively predicted safety behaviors, while state anxiety (STAI X1) predicted COVID-19-related worry and social distancing. COVID-19-related worry was additionally predicted by intolerance for uncertainty (IUS) and health anxiety (SHAI).

Figure 5

Figure 3.Results of the structural equation model (SEM) separately for the groups. The boxes depict the questionnaires (and their sum scores). Blue lines depict negative predictions, while black lines positive predictions. The factors were predicted by different questionnaires between the two groups. Health anxiety (SHAI) predicted any factor across Dutch students, while across international students the intolerance of uncertainty (IUS), depression (BDI), and body vigilance (BVS) were not significant predictors. Across international students, social distancing were exclusively predicted by fear of contamination (FoC), while across Dutch students this factor was additionally predicted by trait anxiety (STAI X2), BDI, and BVS. Physical distancing was predicted by STAI X2 and FoC in both groups, but among Dutch students the BDI was additionally predictive. Lastly, COVID-19-related worry was predicted in both groups by FoC, trait and state (STAI X1) anxiety, but for Dutch students the IUS additionally predicted the preoccupations for the virus, while across internationals the SHAI.