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The Structure of Social Networks and Its Link to Higher Education Students’ Socio-Emotional Loneliness During COVID-19

Lonely students typically underperform academically. According to several studies, the COVID-19 pandemic is an important risk factor for increases in loneliness, as the contact restrictions and the switch to mainly online classes potentially burden the students. The previously familiar academic envi...

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Autores principales: Hopp, Manuel D. S., Händel, Marion, Bedenlier, Svenja, Glaeser-Zikuda, Michaela, Kammerl, Rudolf, Kopp, Bärbel, Ziegler, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792991/
https://www.ncbi.nlm.nih.gov/pubmed/35095637
http://dx.doi.org/10.3389/fpsyg.2021.733867
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author Hopp, Manuel D. S.
Händel, Marion
Bedenlier, Svenja
Glaeser-Zikuda, Michaela
Kammerl, Rudolf
Kopp, Bärbel
Ziegler, Albert
author_facet Hopp, Manuel D. S.
Händel, Marion
Bedenlier, Svenja
Glaeser-Zikuda, Michaela
Kammerl, Rudolf
Kopp, Bärbel
Ziegler, Albert
author_sort Hopp, Manuel D. S.
collection PubMed
description Lonely students typically underperform academically. According to several studies, the COVID-19 pandemic is an important risk factor for increases in loneliness, as the contact restrictions and the switch to mainly online classes potentially burden the students. The previously familiar academic environment (campus), as well as the exchange with peers and lecturers on site, were no longer made available. In our cross-sectional study, we examine factors that could potentially counteract the development of higher education student loneliness during the COVID-19 pandemic from a social network perspective. During the semester, N = 283 students from across all institutional faculties of a German comprehensive university took part in an online survey. We surveyed their social and emotional experiences of loneliness, their self-reported digital information-sharing behavior, and their current egocentric networks. Here, we distinguished between close online contacts (i.e., mainly online exchanges) and close offline contacts (i.e., mainly in-person face-to-face exchanges). In addition, we derived the interconnectedness (i.e., the densities of the egocentric networks) and heterogeneity (operationalized with the entropy) of students’ contacts. To obtain the latter, we used a novel two-step method combining t-distributed stochastic neighbor embedding (t-SNE) and cluster analysis. We explored the associations of the aforementioned predictors (i.e., information-sharing behavior, number of online and offline contacts, as well as interconnectedness and heterogeneity of the close contacts network) on social and emotional loneliness separately using two hierarchical multiple linear regression models. Our results suggest that social loneliness is strongly related to digital information-sharing behavior and the network structure of close contacts. In particular, high information-sharing behavior, high number of close contacts (whether offline or online), a highly interconnected network, and a homogeneous structure of close contacts were associated with low social loneliness. Emotional loneliness, on the other hand, was mainly related to network homogeneity, in the sense that students with homogeneous close contacts networks experienced low emotional loneliness. Overall, our study highlights the central role of students’ close social network on feelings of loneliness in the context of COVID-19 restrictions. Limitations and implications are discussed.
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spelling pubmed-87929912022-01-28 The Structure of Social Networks and Its Link to Higher Education Students’ Socio-Emotional Loneliness During COVID-19 Hopp, Manuel D. S. Händel, Marion Bedenlier, Svenja Glaeser-Zikuda, Michaela Kammerl, Rudolf Kopp, Bärbel Ziegler, Albert Front Psychol Psychology Lonely students typically underperform academically. According to several studies, the COVID-19 pandemic is an important risk factor for increases in loneliness, as the contact restrictions and the switch to mainly online classes potentially burden the students. The previously familiar academic environment (campus), as well as the exchange with peers and lecturers on site, were no longer made available. In our cross-sectional study, we examine factors that could potentially counteract the development of higher education student loneliness during the COVID-19 pandemic from a social network perspective. During the semester, N = 283 students from across all institutional faculties of a German comprehensive university took part in an online survey. We surveyed their social and emotional experiences of loneliness, their self-reported digital information-sharing behavior, and their current egocentric networks. Here, we distinguished between close online contacts (i.e., mainly online exchanges) and close offline contacts (i.e., mainly in-person face-to-face exchanges). In addition, we derived the interconnectedness (i.e., the densities of the egocentric networks) and heterogeneity (operationalized with the entropy) of students’ contacts. To obtain the latter, we used a novel two-step method combining t-distributed stochastic neighbor embedding (t-SNE) and cluster analysis. We explored the associations of the aforementioned predictors (i.e., information-sharing behavior, number of online and offline contacts, as well as interconnectedness and heterogeneity of the close contacts network) on social and emotional loneliness separately using two hierarchical multiple linear regression models. Our results suggest that social loneliness is strongly related to digital information-sharing behavior and the network structure of close contacts. In particular, high information-sharing behavior, high number of close contacts (whether offline or online), a highly interconnected network, and a homogeneous structure of close contacts were associated with low social loneliness. Emotional loneliness, on the other hand, was mainly related to network homogeneity, in the sense that students with homogeneous close contacts networks experienced low emotional loneliness. Overall, our study highlights the central role of students’ close social network on feelings of loneliness in the context of COVID-19 restrictions. Limitations and implications are discussed. Frontiers Media S.A. 2022-01-13 /pmc/articles/PMC8792991/ /pubmed/35095637 http://dx.doi.org/10.3389/fpsyg.2021.733867 Text en Copyright © 2022 Hopp, Händel, Bedenlier, Glaeser-Zikuda, Kammerl, Kopp and Ziegler. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Hopp, Manuel D. S.
Händel, Marion
Bedenlier, Svenja
Glaeser-Zikuda, Michaela
Kammerl, Rudolf
Kopp, Bärbel
Ziegler, Albert
The Structure of Social Networks and Its Link to Higher Education Students’ Socio-Emotional Loneliness During COVID-19
title The Structure of Social Networks and Its Link to Higher Education Students’ Socio-Emotional Loneliness During COVID-19
title_full The Structure of Social Networks and Its Link to Higher Education Students’ Socio-Emotional Loneliness During COVID-19
title_fullStr The Structure of Social Networks and Its Link to Higher Education Students’ Socio-Emotional Loneliness During COVID-19
title_full_unstemmed The Structure of Social Networks and Its Link to Higher Education Students’ Socio-Emotional Loneliness During COVID-19
title_short The Structure of Social Networks and Its Link to Higher Education Students’ Socio-Emotional Loneliness During COVID-19
title_sort structure of social networks and its link to higher education students’ socio-emotional loneliness during covid-19
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792991/
https://www.ncbi.nlm.nih.gov/pubmed/35095637
http://dx.doi.org/10.3389/fpsyg.2021.733867
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