Cargando…
The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China
Cyberchondria is considered “the anxiety-amplifying effects of online health-related searches.” During the COVID-19 pandemic, people are likely to search health-related information online for reassurance because of fear and related physical symptoms, while cyberchondria may be triggered due to the e...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632535/ https://www.ncbi.nlm.nih.gov/pubmed/34858254 http://dx.doi.org/10.3389/fpsyg.2021.712703 |
_version_ | 1784607770371162112 |
---|---|
author | Peng, Xiao-Qing Chen, Yang Zhang, Yi-Chuan Liu, Fei He, Hai-Yan Luo, Ting Dai, Ping-Ping Xie, Wen-Zhao Luo, Ai-Jing |
author_facet | Peng, Xiao-Qing Chen, Yang Zhang, Yi-Chuan Liu, Fei He, Hai-Yan Luo, Ting Dai, Ping-Ping Xie, Wen-Zhao Luo, Ai-Jing |
author_sort | Peng, Xiao-Qing |
collection | PubMed |
description | Cyberchondria is considered “the anxiety-amplifying effects of online health-related searches.” During the COVID-19 pandemic, people are likely to search health-related information online for reassurance because of fear and related physical symptoms, while cyberchondria may be triggered due to the escalation of health anxiety, different online seeking behavior preference, information overload, and insufficient e-health literacy. This study aimed to investigate the status and influencing factors of cyberchondria in residents in China during the epidemic period of COVID-19. The participants were 674 community residents of Nanyang city surveyed from February 1 to 15, 2020. We administered online measures, including the Chinese Short Form of the Cyberchondria Severity Scale (C-CSS-12), Short Health Anxiety Inventory (SHAI), eHealth Literacy Scale (eHEALS), Patient Health Questionnaire-15 (PHQ-15), and COVID-19-related online information seeking behavior questionnaire. In our study, the average C-CSS-12 total score of residents was 30.65 ± 11.53 during the virus epidemic; 25% of participants scored 22 or below, 50% scored 23 to 38, and 21.9% scored 39 to 60. The SHAI total score (β = 0.598 > 0, P < 0.001), the use of general search engines (β = 1.867 > 0, P = 0.039), and searching for information on how to diagnose COVID-19 (β = 2.280 > 0, P = 0.020) were independent risk factors for cyberchondria, while searching lasting less than 10 min each (β = −2.992 < 0, P = 0.048), the use of traditional media digital platforms (β = −1.650 < 0, P = 0.024) and professional medical communication platforms (β = −4.189 < 0, P = 0.007) were independent protective factors. Our findings showed that nearly a quarter of the participants scored 39 or higher on the C-CSS-12 in Nanyang city during the pandemic, which should be taken seriously. Health anxiety and COVID-19-related online information seeking behavior including online duration, topics and choice on different information channels were important influencing factors of cyberchondria. These findings have implications for further research and clinical practice on cyberchondria in China. |
format | Online Article Text |
id | pubmed-8632535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86325352021-12-01 The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China Peng, Xiao-Qing Chen, Yang Zhang, Yi-Chuan Liu, Fei He, Hai-Yan Luo, Ting Dai, Ping-Ping Xie, Wen-Zhao Luo, Ai-Jing Front Psychol Psychology Cyberchondria is considered “the anxiety-amplifying effects of online health-related searches.” During the COVID-19 pandemic, people are likely to search health-related information online for reassurance because of fear and related physical symptoms, while cyberchondria may be triggered due to the escalation of health anxiety, different online seeking behavior preference, information overload, and insufficient e-health literacy. This study aimed to investigate the status and influencing factors of cyberchondria in residents in China during the epidemic period of COVID-19. The participants were 674 community residents of Nanyang city surveyed from February 1 to 15, 2020. We administered online measures, including the Chinese Short Form of the Cyberchondria Severity Scale (C-CSS-12), Short Health Anxiety Inventory (SHAI), eHealth Literacy Scale (eHEALS), Patient Health Questionnaire-15 (PHQ-15), and COVID-19-related online information seeking behavior questionnaire. In our study, the average C-CSS-12 total score of residents was 30.65 ± 11.53 during the virus epidemic; 25% of participants scored 22 or below, 50% scored 23 to 38, and 21.9% scored 39 to 60. The SHAI total score (β = 0.598 > 0, P < 0.001), the use of general search engines (β = 1.867 > 0, P = 0.039), and searching for information on how to diagnose COVID-19 (β = 2.280 > 0, P = 0.020) were independent risk factors for cyberchondria, while searching lasting less than 10 min each (β = −2.992 < 0, P = 0.048), the use of traditional media digital platforms (β = −1.650 < 0, P = 0.024) and professional medical communication platforms (β = −4.189 < 0, P = 0.007) were independent protective factors. Our findings showed that nearly a quarter of the participants scored 39 or higher on the C-CSS-12 in Nanyang city during the pandemic, which should be taken seriously. Health anxiety and COVID-19-related online information seeking behavior including online duration, topics and choice on different information channels were important influencing factors of cyberchondria. These findings have implications for further research and clinical practice on cyberchondria in China. Frontiers Media S.A. 2021-11-11 /pmc/articles/PMC8632535/ /pubmed/34858254 http://dx.doi.org/10.3389/fpsyg.2021.712703 Text en Copyright © 2021 Peng, Chen, Zhang, Liu, He, Luo, Dai, Xie and Luo. 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 Peng, Xiao-Qing Chen, Yang Zhang, Yi-Chuan Liu, Fei He, Hai-Yan Luo, Ting Dai, Ping-Ping Xie, Wen-Zhao Luo, Ai-Jing The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China |
title | The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China |
title_full | The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China |
title_fullStr | The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China |
title_full_unstemmed | The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China |
title_short | The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China |
title_sort | status and influencing factors of cyberchondria during the covid-19 epidemic. a cross-sectional study in nanyang city of china |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632535/ https://www.ncbi.nlm.nih.gov/pubmed/34858254 http://dx.doi.org/10.3389/fpsyg.2021.712703 |
work_keys_str_mv | AT pengxiaoqing thestatusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT chenyang thestatusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT zhangyichuan thestatusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT liufei thestatusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT hehaiyan thestatusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT luoting thestatusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT daipingping thestatusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT xiewenzhao thestatusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT luoaijing thestatusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT pengxiaoqing statusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT chenyang statusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT zhangyichuan statusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT liufei statusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT hehaiyan statusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT luoting statusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT daipingping statusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT xiewenzhao statusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina AT luoaijing statusandinfluencingfactorsofcyberchondriaduringthecovid19epidemicacrosssectionalstudyinnanyangcityofchina |