Comportamiento de autocuidado y de búsqueda de información en internet sobre la COVID-19

Caso jóvenes españoles

Autores/as

  • Belén Rodríguez-Cánovas Universidad Complutense de Madrid
  • Anna Rogala Universidad de Poznan
  • Alfredo Guzmán Rincón Corporación Universitaria de Asturias

DOI:

https://doi.org/10.37467/revvisual.v9.3639

Palabras clave:

Autocuidado, COVID-19, Comunicación de la salud, Coronavirus, Información de salud

Resumen

El objetivo del presente artículo fue identificar qué comportamientos de búsqueda de información online mostraron los jóvenes españoles durante la pandemia por COVID-19, y la incidencia de estos en los comportamientos de autocuidado. Para su cumplimiento se planteó un estudio de carácter cuantitativo de tipo transversal, se aplicó las escalas eHEALS, CSS y se desarrolló una escala propia de comportamientos de autocuidado a un total de 161 jóvenes españoles. El análisis de datos se baso en modelación de clústeres, estadística descriptiva y correlación de Spearman. Los principales hallazgos permitieron establecer dos conglomerados, que se diferencian por el nivel de competencias de búsqueda de información, así mismo no se evidenció correlaciones altas entre la búsqueda de información online de salud y los comportamientos de autocuidado.

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Citas

Ahorsu, D. K., Lin, C.-Y., Alimoradi, Z., Griffiths, M. D., Chen, H.-P., Broström, A., Timpka, T., & Pakpour, A. H. (2022). Cyberchondria, Fear of COVID-19, and Risk Perception Mediate the Association between Problematic Social Media Use and Intention to Get a COVID-19 Vaccine. Vaccines, 10(1), 122. https://doi.org/10.3390/vaccines10010122 DOI: https://doi.org/10.3390/vaccines10010122

Aulia, A., Marchira, C. R., Supriyanto, I., & Pratiti, B. (2020). Cyberchondria in First Year Medical Students of Yogyakarta. Journal of Consumer Health on the Internet, 24(1), 1–9. https://doi.org/10.1080/15398285.2019.1710096 DOI: https://doi.org/10.1080/15398285.2019.1710096

Barke, A., Bleichhardt, G., Rief, W., & Doering, B. K. (2016). The Cyberchondria Severity Scale (CSS): German Validation and Development of a Short Form. International Journal of Behavioral Medicine, 23(5), 595–605.https://doi.org/10.1007/s12529-016-9549-8 DOI: https://doi.org/10.1007/s12529-016-9549-8

Behimehr, S., & Jamali, H. R. (2020). Relations between Cognitive Biases and Some Concepts of Information Behavior. Data and Information Management, 4(2), 109–118. https://doi.org/10.2478/dim-2020-0007 DOI: https://doi.org/10.2478/dim-2020-0007

Bergner, R. M. (2011). What is behavior? And so what? New Ideas in Psychology, 29(2), 147–155. https://doi.org/10.1016/j.newideapsych.2010.08.001 DOI: https://doi.org/10.1016/j.newideapsych.2010.08.001

Burzyńska, J., Rękas, M., & Januszewicz, P. (2022). Evaluating the Psychometric Properties of the eHealth Literacy Scale (eHEALS) among Polish Social Media Users. International Journal of Environmental Research and Public Health, 19(7), 4067. https://doi.org/10.3390/ijerph19074067 DOI: https://doi.org/10.3390/ijerph19074067

Carlsson, M. E. (2009). Cancer patients seeking information from sources outside the health care system: change over a decade. European Journal of Oncology Nursing: The Official Journal of European Oncology Nursing Society, 13(4), 304–305. https://doi.org/10.1016/j.ejon.2009.03.005 DOI: https://doi.org/10.1016/j.ejon.2009.03.005

Castro, E. K. de, & Moro, L. (2012). Factores psicosociales relacionados con el autocuidado en la prevención, tratamiento y postratamiento del cáncer de mama. Psicooncología, 9(2–3), 453–465. https://doi.org/10.5209/rev_PSIC.2013.v9.n2-3.40916 DOI: https://doi.org/10.5209/rev_PSIC.2013.v9.n2-3.40916

Durak, A., Şenkal, İ., Gör, N., & Kömürcü, B. (2021). The pathways from distress tolerance to Cyberchondria: A multiple-group path model of young and middle adulthood samples. Current Psychology, 40(11), 5718–5726. https://doi.org/10.1007/s12144-020-01038-y DOI: https://doi.org/10.1007/s12144-020-01038-y

Epstein, H.-A. B. (2017). Cyberchondriacs. Journal of Hospital Librarianship, 17(4), 317–322. https://doi.org/10.1080/15323269.2017.1367901 DOI: https://doi.org/10.1080/15323269.2017.1367901

Farooq, A., Laato, S., & Islam, A. K. M. N. (2020). Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study. Journal of Medical Internet Research, 22(5), e19128. https://doi.org/10.2196/19128 DOI: https://doi.org/10.2196/19128

Fergus, T. A., & Dolan, S. L. (2014). Problematic Internet Use and Internet Searches for Medical Information: The Role of Health Anxiety. Cyberpsychology, Behavior, and Social Networking, 17(12), 761–765. https://doi.org/10.1089/cyber.2014.0169 DOI: https://doi.org/10.1089/cyber.2014.0169

Ferguson, T. (1980). Medical Self-Care: Self-Responsibility for Health. In Health for the Whole Person. Routledge.

Han, L., Zhan, Y., Li, W., Xu, Y., Xu, Y., & Zhao, J. (2021). Associations Between the Perceived Severity of the COVID-19 Pandemic, Cyberchondria, Depression, Anxiety, Stress, and Lockdown Experience: Cross-sectional Survey Study. JMIR Public Health and Surveillance, 7(9), e31052. https://doi.org/10.2196/31052 DOI: https://doi.org/10.2196/31052

Honora, A., Wang, K.-Y., & Chih, W.-H. (2022). How does information overload about COVID-19 vaccines influence individuals’ vaccination intentions? The roles of cyberchondria, perceived risk, and vaccine skepticism. Computers in Human Behavior, 130, 107176. https://doi.org/10.1016/j.chb.2021.107176 DOI: https://doi.org/10.1016/j.chb.2021.107176

Irwan, A. M., Kato, M., Kitaoka, K., Kido, T., Taniguchi, Y., & Shogenji, M. (2016). Self-care practices and health-seeking behavior among older persons in a developing country: Theories-based research. International Journal of Nursing Sciences, 3(1), 11–23. https://doi.org/10.1016/j.ijnss.2016.02.010 DOI: https://doi.org/10.1016/j.ijnss.2016.02.010

Jacobs, W., Amuta, A. O., & Jeon, K. C. (2017). Health information seeking in the digital age: An analysis of health information seeking behavior among US adults. Cogent Social Sciences, 3(1), 1302785. https://doi.org/10.1080/23311886.2017.1302785 DOI: https://doi.org/10.1080/23311886.2017.1302785

Jokic-Begic, N., Lauri Korajlija, A., & Mikac, U. (2020). Cyberchondria in the age of COVID-19. PLOS ONE, 15(12), e0243704. https://doi.org/10.1371/journal.pone.0243704 DOI: https://doi.org/10.1371/journal.pone.0243704

Jokić-Begić, N., Mikac, U., Čuržik, D., & Sangster Jokić, C. (2019). The Development and Validation of the Short Cyberchondria Scale (SCS). Journal of Psychopathology and Behavioral Assessment, 41(4), 662–676. https://doi.org/10.1007/s10862-019-09744-z DOI: https://doi.org/10.1007/s10862-019-09744-z

Jungmann, S. M., & Witthöft, M. (2020a). Health anxiety, cyberchondria, and coping in the current COVID-19 pandemic: Which factors are related to coronavirus anxiety? Journal of Anxiety Disorders, 73, 102239. https://doi.org/10.1016/j.janxdis.2020.102239 DOI: https://doi.org/10.1016/j.janxdis.2020.102239

Kaplan, B. (2020). Revisiting health information technology ethical, legal, and social issues and evaluation: telehealth/telemedicine and covid-19. International Journal of Medical Informatics, 143, 104239. https://doi.org/10.1016/j.ijmedinf.2020.104239 DOI: https://doi.org/10.1016/j.ijmedinf.2020.104239

Köse, S., & Murat, M. (2021). Examination of the relationship between smartphone addiction and cyberchondria in adolescents. Archives of Psychiatric Nursing, 35(6), 563–570. https://doi.org/10.1016/j.apnu.2021.08.009 DOI: https://doi.org/10.1016/j.apnu.2021.08.009

Laato, S., Islam, A. K. M. N., Islam, M. N., & Whelan, E. (2020). What drives unverified information sharing and cyberchondria during the COVID-19 pandemic? European Journal of Information Systems, 29(3), 288–305. https://doi.org/10.1080/0960085X.2020.1770632 DOI: https://doi.org/10.1080/0960085X.2020.1770632

Lagoe, C., & Atkin, D. (2015). Health anxiety in the digital age: An exploration of psychological determinants of online health information seeking. Computers in Human Behavior, 52, 484–491. https://doi.org/10.1016/j.chb.2015.06.003 DOI: https://doi.org/10.1016/j.chb.2015.06.003

Lambert, S. D., & Loiselle, C. G. (2007). Health information seeking behavior. Qualitative Health Research, 17(8), 1006–1019. https://doi.org/10.1177/1049732307305199 DOI: https://doi.org/10.1177/1049732307305199

Lazzeri, F. (2014). On Defining Behavior: Some Notes. Behavior and Philosophy, 42, 65–82. https://www.jstor.org/stable/behaphil.42.65

Marino, C., Fergus, T. A., Vieno, A., Bottesi, G., Ghisi, M., & Spada, M. M. (2020). Testing the Italian version of the Cyberchondria Severity Scale and a metacognitive model of cyberchondria. Clinical Psychology & Psychotherapy, 27(4), 581–596. https://doi.org/10.1002/cpp.2444 DOI: https://doi.org/10.1002/cpp.2444

McElroy, E., & Shevlin, M. (2014). The development and initial validation of the cyberchondria severity scale (CSS). Journal of Anxiety Disorders, 28(2), 259–265. https://doi.org/10.1016/j.janxdis.2013.12.007 DOI: https://doi.org/10.1016/j.janxdis.2013.12.007

Mischel, W. (2004). Toward an integrative science of the person. Annual Review of Psychology, 55, 1–22. https://doi.org/10.1146/annurev.psych.55.042902.130709 DOI: https://doi.org/10.1146/annurev.psych.55.042902.130709

Muse, K., McManus, F., Leung, C., Meghreblian, B., & Williams, J. M. G. (2012). Cyberchondriasis: Fact or fiction? A preliminary examination of the relationship between health anxiety and searching for health information on the Internet. Journal of Anxiety Disorders, 26(1), 189–196. https://doi.org/10.1016/j.janxdis.2011.11.005 DOI: https://doi.org/10.1016/j.janxdis.2011.11.005

Narasimhan, M., & Kapila, M. (2019). Implications of self-care for health service provision. Bulletin of the World Health Organization, 97(2), 76-76A. https://doi.org/10.2471/BLT.18.228890 DOI: https://doi.org/10.2471/BLT.18.228890

Norr, A. M., Albanese, B. J., Oglesby, M. E., Allan, N. P., & Schmidt, N. B. (2015). Anxiety sensitivity and intolerance of uncertainty as potential risk factors for cyberchondria. Journal of Affective Disorders, 174, 64–69. https://doi.org/10.1016/j.jad.2014.11.023 DOI: https://doi.org/10.1016/j.jad.2014.11.023

Oniszczenko, W. (2021). Anxious temperament and cyberchondria as mediated by fear of COVID-19 infection: A cross-sectional study. PLOS ONE, 16(8), e0255750. https://doi.org/10.1371/journal.pone.0255750 DOI: https://doi.org/10.1371/journal.pone.0255750

Popescu, G. (2014). Human Behavior, from Psychology to a Transdisciplinary Insight. Procedia - Social and Behavioral Sciences, 128, 442–446. https://doi.org/10.1016/j.sbspro.2014.03.185 DOI: https://doi.org/10.1016/j.sbspro.2014.03.185

Power, A., & Kirwan, G. (Eds.). (2014). Cyberpsychology and new media: a thematic reader. Psychology Press. DOI: https://doi.org/10.4324/9780203796610

Rahme, C., Akel, M., Obeid, S., & Hallit, S. (2021). Cyberchondria severity and quality of life among Lebanese adults: the mediating role of fear of COVID-19, depression, anxiety, stress and obsessive–compulsive behavior—a structural equation model approach. BMC Psychology, 9(1), 169. https://doi.org/10.1186/s40359-021-00674-8 DOI: https://doi.org/10.1186/s40359-021-00674-8

Sbaffi, L., & Rowley, J. (2017). Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research. Journal of Medical Internet Research, 19(6), e7579. https://doi.org/10.2196/jmir.7579 DOI: https://doi.org/10.2196/jmir.7579

Soong, A., Au, S. T., Kyaw, B. M., Theng, Y. L., & Tudor Car, L. (2020). Information needs and information seeking behaviour of people with dementia and their non-professional caregivers: a scoping review. BMC Geriatrics, 20(1), 61. https://doi.org/10.1186/s12877-020-1454-y DOI: https://doi.org/10.1186/s12877-020-1454-y

Starcevic, V. (2017). Cyberchondria: Challenges of Problematic Online Searches for Health-Related Information. Psychotherapy and Psychosomatics, 86(3), 129–133. https://doi.org/10.1159/000465525 DOI: https://doi.org/10.1159/000465525

Starcevic, V., & Berle, D. (2013). Cyberchondria: towards a better understanding of excessive health-related Internet use. Expert Review of Neurotherapeutics, 13(2), 205–213. https://doi.org/10.1586/ern.12.162 DOI: https://doi.org/10.1586/ern.12.162

Starcevic, V., Berle, D., & Arnáez, S. (2020). Recent Insights Into Cyberchondria. Current Psychiatry Reports, 22(11), 56. https://doi.org/10.1007/s11920-020-01179-8 DOI: https://doi.org/10.1007/s11920-020-01179-8

Starcevic, V., Schimmenti, A., Billieux, J., & Berle, D. (2021). Cyberchondria in the time of the COVID ‐19 pandemic. Human Behavior and Emerging Technologies, 3(1), 53–62. https://doi.org/10.1002/hbe2.233 DOI: https://doi.org/10.1002/hbe2.233

Tanis, M., Hartmann, T., & te Poel, F. (2016). Online health anxiety and consultation satisfaction: A quantitative exploratory study on their relations. Patient Education and Counseling, 99(7), 1227–1232. https://doi.org/10.1016/j.pec.2016.01.021 DOI: https://doi.org/10.1016/j.pec.2016.01.021

Uzun, S. U., & Zencir, M. (2021). Reliability and validity study of the Turkish version of cyberchondria severity scale. Current Psychology, 40(1), 65–71. https://doi.org/10.1007/s12144-018-0001-x DOI: https://doi.org/10.1007/s12144-018-0001-x

Vismara, M., Vitella, D., Biolcati, R., Ambrosini, F., Pirola, V., Dell’Osso, B., & Truzoli, R. (2021). The Impact of COVID-19 Pandemic on Searching for Health-Related Information and Cyberchondria on the General Population in Italy. Frontiers in Psychiatry, 12, 754870. https://doi.org/10.3389/fpsyt.2021.754870 DOI: https://doi.org/10.3389/fpsyt.2021.754870

Wijaya, M. C., & Kloping, Y. P. (2021). Validity and reliability testing of the Indonesian version of the eHealth Literacy Scale during the COVID-19 pandemic. Health Informatics Journal, 27(1), 146045822097546. https://doi.org/10.1177/1460458220975466 DOI: https://doi.org/10.1177/1460458220975466

Wilkinson, A., & Whitehead, L. (2009). Evolution of the concept of self-care and implications for nurses: a literature review. International Journal of Nursing Studies, 46(8), 1143–1147. https://doi.org/10.1016/j.ijnurstu.2008.12.011 DOI: https://doi.org/10.1016/j.ijnurstu.2008.12.011

Wu, X., Nazari, N., & Griffiths, M. D. (2021). Using Fear and Anxiety Related to COVID-19 to Predict Cyberchondria: Cross-sectional Survey Study. Journal of Medical Internet Research, 23(6), e26285. https://doi.org/10.2196/26285 DOI: https://doi.org/10.2196/26285

Zakar, R., Iqbal, S., Zakar, M. Z., & Fischer, F. (2021). COVID-19 and Health Information Seeking Behavior: Digital Health Literacy Survey amongst University Students in Pakistan. International Journal of Environmental Research and Public Health, 18(8), 4009. https://doi.org/10.3390/ijerph18084009 DOI: https://doi.org/10.3390/ijerph18084009

Zhang, X., Foo, S., Majid, S., Chang, Y.-K., Dumaual, H. T. J., & Suri, V. R. (2020). Self-Care and Health-Information-Seeking Behaviours of Diabetic Patients in Singapore. Health Communication, 35(8), 994–1003. https://doi.org/10.1080/10410236.2019.1606134 DOI: https://doi.org/10.1080/10410236.2019.1606134

Ziaee, M., Khajavi, A., Najafzadeh, A., Tavakolizadeh, M., & Karkon Shayan, S. (2022). Information Resources Trust and Self-care Behaviors in Prevention of COVID-19 Among Health Workers in Gonabad City, Iran. Journal of Research and Health, 12(1), 49–56. https://doi.org/10.32598/JRH.12.1.1901.2 DOI: https://doi.org/10.32598/JRH.12.1.1901.2

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Publicado

2022-11-10

Cómo citar

Rodríguez-Cánovas, B., Rogala, A. ., & Guzmán Rincón, A. (2022). Comportamiento de autocuidado y de búsqueda de información en internet sobre la COVID-19: Caso jóvenes españoles . VISUAL REVIEW. International Visual Culture Review Revista Internacional De Cultura Visual, 11(1), 1–11. https://doi.org/10.37467/revvisual.v9.3639