Cargando…
Addiction to medical websites post COVID-19 pandemic: a predictor of illness anxiety disorder among Arabian youth
BACKGROUND: The coronavirus (COVID-19) pandemic has significantly impacted every region of the world. During these unprecedented times, college students have been experiencing severe mental health issues concerning excessive internet usage. On average, 42.9% of students in Egypt utilized the interne...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027275/ http://dx.doi.org/10.1007/s44202-023-00067-5 |
_version_ | 1784909689926975488 |
---|---|
author | Hamid, Mohamed S. Abo Hamza, Eid Rivera, Rita M. Carballea, Denise Mohamed, Nagwa Ibrahim A. |
author_facet | Hamid, Mohamed S. Abo Hamza, Eid Rivera, Rita M. Carballea, Denise Mohamed, Nagwa Ibrahim A. |
author_sort | Hamid, Mohamed S. |
collection | PubMed |
description | BACKGROUND: The coronavirus (COVID-19) pandemic has significantly impacted every region of the world. During these unprecedented times, college students have been experiencing severe mental health issues concerning excessive internet usage. On average, 42.9% of students in Egypt utilized the internet (Anwar et al. in J Public Health 30:1753–1762, 2022). Arabs quickly diagnose themselves online using medical websites. The issue is exacerbated by drugs bought without a prescription (Alghadeer et al. in Saudi Pharm J 26:719–724, 2018). METHODS: This study examined he relationship between addiction to medical websites and behaviors related to Illness Anxiety Disorder among a population of Arabic university students. A sample consisting of N = 368 youths was examined. RESULTS: Bivariate linear regression, Z score, R2, t-test, ANOVA, mean, and standard deviation were used for statistical analysis. The findings of the study revealed a linear equation that predicts illness anxiety in adolescents. The correlation between medical website addiction and hypochondria was found to be 0.69. Furthermore, male participants were more addicted to medical websites than female participants. CONCLUSIONS: Findings supported the notion that addiction to medical websites significantly predicts hypochondria. |
format | Online Article Text |
id | pubmed-10027275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-100272752023-03-21 Addiction to medical websites post COVID-19 pandemic: a predictor of illness anxiety disorder among Arabian youth Hamid, Mohamed S. Abo Hamza, Eid Rivera, Rita M. Carballea, Denise Mohamed, Nagwa Ibrahim A. Discov Psychol Research BACKGROUND: The coronavirus (COVID-19) pandemic has significantly impacted every region of the world. During these unprecedented times, college students have been experiencing severe mental health issues concerning excessive internet usage. On average, 42.9% of students in Egypt utilized the internet (Anwar et al. in J Public Health 30:1753–1762, 2022). Arabs quickly diagnose themselves online using medical websites. The issue is exacerbated by drugs bought without a prescription (Alghadeer et al. in Saudi Pharm J 26:719–724, 2018). METHODS: This study examined he relationship between addiction to medical websites and behaviors related to Illness Anxiety Disorder among a population of Arabic university students. A sample consisting of N = 368 youths was examined. RESULTS: Bivariate linear regression, Z score, R2, t-test, ANOVA, mean, and standard deviation were used for statistical analysis. The findings of the study revealed a linear equation that predicts illness anxiety in adolescents. The correlation between medical website addiction and hypochondria was found to be 0.69. Furthermore, male participants were more addicted to medical websites than female participants. CONCLUSIONS: Findings supported the notion that addiction to medical websites significantly predicts hypochondria. Springer International Publishing 2023-03-20 2023 /pmc/articles/PMC10027275/ http://dx.doi.org/10.1007/s44202-023-00067-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Hamid, Mohamed S. Abo Hamza, Eid Rivera, Rita M. Carballea, Denise Mohamed, Nagwa Ibrahim A. Addiction to medical websites post COVID-19 pandemic: a predictor of illness anxiety disorder among Arabian youth |
title | Addiction to medical websites post COVID-19 pandemic: a predictor of illness anxiety disorder among Arabian youth |
title_full | Addiction to medical websites post COVID-19 pandemic: a predictor of illness anxiety disorder among Arabian youth |
title_fullStr | Addiction to medical websites post COVID-19 pandemic: a predictor of illness anxiety disorder among Arabian youth |
title_full_unstemmed | Addiction to medical websites post COVID-19 pandemic: a predictor of illness anxiety disorder among Arabian youth |
title_short | Addiction to medical websites post COVID-19 pandemic: a predictor of illness anxiety disorder among Arabian youth |
title_sort | addiction to medical websites post covid-19 pandemic: a predictor of illness anxiety disorder among arabian youth |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027275/ http://dx.doi.org/10.1007/s44202-023-00067-5 |
work_keys_str_mv | AT hamidmohameds addictiontomedicalwebsitespostcovid19pandemicapredictorofillnessanxietydisorderamongarabianyouth AT abohamzaeid addictiontomedicalwebsitespostcovid19pandemicapredictorofillnessanxietydisorderamongarabianyouth AT riveraritam addictiontomedicalwebsitespostcovid19pandemicapredictorofillnessanxietydisorderamongarabianyouth AT carballeadenise addictiontomedicalwebsitespostcovid19pandemicapredictorofillnessanxietydisorderamongarabianyouth AT mohamednagwaibrahima addictiontomedicalwebsitespostcovid19pandemicapredictorofillnessanxietydisorderamongarabianyouth |