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COVID-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students
OBJECTIVE: The study assessed COVID-19 era-related e-learning cyberchondria, internet addiction and anxiety-related symptomatology among nursing students. The relationships, predictors and differences between the studied concepts were measured. DESIGN: In 2021, a quantitative cross‐sectional researc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414090/ https://www.ncbi.nlm.nih.gov/pubmed/37558438 http://dx.doi.org/10.1136/bmjopen-2023-071971 |
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author | Mrayyan, Majd T Alkhawaldeh, Ja'far M Alfayoumi, Imad Algunmeeyn, Abdullah Abunab, Hamzeh Y Suliman, W A Abu Hasheesh, Mohammad Shudifat, Raed |
author_facet | Mrayyan, Majd T Alkhawaldeh, Ja'far M Alfayoumi, Imad Algunmeeyn, Abdullah Abunab, Hamzeh Y Suliman, W A Abu Hasheesh, Mohammad Shudifat, Raed |
author_sort | Mrayyan, Majd T |
collection | PubMed |
description | OBJECTIVE: The study assessed COVID-19 era-related e-learning cyberchondria, internet addiction and anxiety-related symptomatology among nursing students. The relationships, predictors and differences between the studied concepts were measured. DESIGN: In 2021, a quantitative cross‐sectional research design using a web survey with a sample size of 333 nursing students yielded a response rate of 70%. RESULTS: Nursing students had a moderate level of cyberchondria, low to moderate internet addiction, a moderate to severe level of anxiety and depression, and a normal stress level. Demographic characteristics, cyberchondria, internet addiction and anxiety-related symptomatology were significantly correlated. Grade point average, age, type of organisation where the students were trained and level of education were significant predictors of the studied variables. Significant differences in the studied concepts were found based on the sample’s characteristics such as gender, type of organisations or universities where the students were trained or studied, and age. CONCLUSION: Cyberchondria, internet addiction, depression, anxiety and stress symptomatology are troublesome. Higher education organisations might benefit from examining the variables of interest and investigating the relations between internet addiction and depression and anxiety symptomatology among nursing students. Such research will aid in tailoring treatments to assist vulnerable students by targeting counselling and educational efforts toward building a future generation of nurses with reduced cyberchondria, internet addiction and anxiety-related symptomatology. |
format | Online Article Text |
id | pubmed-10414090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-104140902023-08-11 COVID-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students Mrayyan, Majd T Alkhawaldeh, Ja'far M Alfayoumi, Imad Algunmeeyn, Abdullah Abunab, Hamzeh Y Suliman, W A Abu Hasheesh, Mohammad Shudifat, Raed BMJ Open Nursing OBJECTIVE: The study assessed COVID-19 era-related e-learning cyberchondria, internet addiction and anxiety-related symptomatology among nursing students. The relationships, predictors and differences between the studied concepts were measured. DESIGN: In 2021, a quantitative cross‐sectional research design using a web survey with a sample size of 333 nursing students yielded a response rate of 70%. RESULTS: Nursing students had a moderate level of cyberchondria, low to moderate internet addiction, a moderate to severe level of anxiety and depression, and a normal stress level. Demographic characteristics, cyberchondria, internet addiction and anxiety-related symptomatology were significantly correlated. Grade point average, age, type of organisation where the students were trained and level of education were significant predictors of the studied variables. Significant differences in the studied concepts were found based on the sample’s characteristics such as gender, type of organisations or universities where the students were trained or studied, and age. CONCLUSION: Cyberchondria, internet addiction, depression, anxiety and stress symptomatology are troublesome. Higher education organisations might benefit from examining the variables of interest and investigating the relations between internet addiction and depression and anxiety symptomatology among nursing students. Such research will aid in tailoring treatments to assist vulnerable students by targeting counselling and educational efforts toward building a future generation of nurses with reduced cyberchondria, internet addiction and anxiety-related symptomatology. BMJ Publishing Group 2023-08-09 /pmc/articles/PMC10414090/ /pubmed/37558438 http://dx.doi.org/10.1136/bmjopen-2023-071971 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Nursing Mrayyan, Majd T Alkhawaldeh, Ja'far M Alfayoumi, Imad Algunmeeyn, Abdullah Abunab, Hamzeh Y Suliman, W A Abu Hasheesh, Mohammad Shudifat, Raed COVID-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students |
title | COVID-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students |
title_full | COVID-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students |
title_fullStr | COVID-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students |
title_full_unstemmed | COVID-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students |
title_short | COVID-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students |
title_sort | covid-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students |
topic | Nursing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414090/ https://www.ncbi.nlm.nih.gov/pubmed/37558438 http://dx.doi.org/10.1136/bmjopen-2023-071971 |
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