Keywords
FCS Scale
Spanish validation
EFA
CFA
Covid-19 fears
How to Cite
Abstract
Due to the role that pandemic fears may play functionally and in terms of prevention, there is a need to monitor the changes and evolution of these fears. The present study aims to validate the revised Fear of Covid-19 Scale (FCS), which is used to measure Covid-19 fears, one year after the onset of the pandemic and the inception of the lockdown in Spain. Data were reported by 3 083 Spanish adults who answered the "Spaniards’ mental health during the COVID-19 pandemic Survey" of the Sociological Research Center (February 2021). Results of EFA, CFA (RMSEA = 0.052, CFI = 0.965, TLI = 0.955, and SRMR = 0.029), and other validity and reliability indices (e.g., Cronbach α ranged between 0.76 and 0.84) supported a four-factor solution: personal health-related fears, loved ones’ health-related fears, economic-employment-related fears, and social-related fears. Given the possibilities of having another crisis like the one created by Covid, it is important to have validated scales that can assess pandemic fears, due to the consequences these emotions can have for both individuals and society.
Adams, T. G., Sawchuk, C. N., Cisler, J. M., Lohr, J. M., & Olalunji, B. O. (2012). Specific phobias. In P. Emmelkamp y T. Ehring (Eds.). The Wiley handbook of anxiety disorders (vol. 1, pp. 297-320). Chichester, UK: Wiley. https://doi.org/10.1002/9781118775349.ch18
Ahorsu, D. K., Lin, C. -Y., Imani, V., Saffari, M., Griffiths, M.D., & Pakpour, A. H. (2020). The fear of COVID-19 scale: development and initial validation. International Journal of Mental Health and Addiction, 20, 1537-1545. https://doi.org/10.1007/s11469-020-00270-8
Ali, M., Uddin, Z., Banik, P. C., Hegazy, F. A., Zaman, S., Ambia, A. S. M., Siddique, K. B., Islam, R., Khanam, F., Bahalul, S. M., Sharker, M. A., Hossain, F., & Ahsan, G. U. (2021). Knowledge, attitude, practice, and fear of COVID-19: An online-based cross-cultural study. International Journal of Mental Health and Addiction, 21, 1025 - 1040. https://doi.org/10.1007/s11469-021-00638-4 Baumgartner, H., Pieters, R., & Bagozzi, R. P. (2008). Future-oriented emotions: Conceptualization and behavioral effects. European Journal of Social Psychology, 38(4), 685–696. https://doi.org/10.1002/ejsp.467
Brown, T.A. (2006). Confirmatory factor analysis for applied research. 1th ed.; Guilford Press: New York.
Cao, W., Fang, Z., Hou, G., Han, M., Xu, X., Dong, J., & Zheng, J. (2020). The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Research, 287, 112934. https://doi.org/10.1016/j.psychres.2020.112934
Centro de Investigaciones Sociológicas [CIS]. (2021). Código ético y de buenas prácticas. Ministerio de la Presidencia, relaciones con las cortes y memoria democrática: Spain. https://www.cis.es/documents/d/cis/codigo_etico
Centro de Investigaciones Sociológicas [CIS] (2021). Encuesta sobre la salud mental de los/as españoles/as durante la pandemia de la COVID-19. Spain. https://consaludmental.org/centro-documentacion/encuesta-salud-mental-covid19-cis/
Cerda, A. A., & García, L.Y. (2022). Factors explaining the fear of being infected with COVID-19. Health Expectations, 25(2), 506– 512. https://doi.org/10.1111/hex.13274
Coelho, C. M., Suttiwan, P., Arato, N., & Zsido, A. N. (2020) On the nature of fear and anxiety triggered by COVID-19. Frontiers in Psychololy. 11, 581314. https://doi.org/10.3389/fpsyg.2020.581314
Ferrando, P. J., & Anguiano-Carrasco, C. (2010). El análisis factorial como técnica de investigación en psicología. Papeles del psicólogo, 31(1), 18-33. https://www.redalyc.org/pdf/778/77812441003.pdf
Fernández-Millán, J. M., & Bretones, F. D. (2021). Salud mental y factores de resiliencia durante el confinamiento por COVID-19. Universitas Psychologica, 19, 1–13. https://doi.org/10.11144/Javeriana.upsy19.smfr
Garfin, D. R., Silver, R. C., & Holman, E. A. (2020). The novel coronavirus (COVID-2019) outbreak: Amplification of public health consequences by media exposure. Health Psychology, 39(5), 355-357. https://doi.org/10.1037/hea0000875
Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C. (1998). Multivariate data analysis with readings (5th ed.). Upper Saddle River, NJ: Prentice-Hall.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis: International Version, 7th ed.; Pearson Education: Saddle River, NJ, USA. https://www.drnishikantjha.com/papersCollection/Multivariate%20Data%20Analysis.pdf
Hu, L. -T., & Bentler, P. M. (2009). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., Liu, M., . . . Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497–506. https://doi.org/10.1016/S0140-6736(20)30183-5
IBM Corp. (2019). IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY: IBM Corp.
Kiers, H. A. (1994). Simplimax: Oblique rotation to an optimal target with simple structure. Psychometrika, 59(4), 567-579. https://doi.org/10.1007/BF02294392
Lin, C. -Y. (2020). Social reaction toward the 2019 novel coronavirus (COVID-19). Social Health and Behavior, 3(1), 1–2. https://doi.org/10.4103/SHB.SHB_11_20
Little, T. D. (2013). Longitudinal structural equation modeling. 1th ed. Guilford press: New York.
Lorenzo-Seva, U. (1999.). Promin: A method for oblique factor rotation. Multivariate behavioral research, 34(3), 347-365. https://doi.org/10.1207/S15327906MBR3403_3
Luo, F., Gheshlagh, R. G., Dalvand, S., Saedmoucheshi, S., & Li, Q. (2021). Systematic review and meta-analysis of fear of COVID-19. Frontiers in psychology, 12, 661078. https://doi.org/10.3389/fpsyg.2021.661078
Mertens, G., Gerritsen, L., Duijndam, S., Salemink, E., & Engelhard, I. M. (2020). Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. Journal of anxiety disorders, 74, 102258. https://doi.org/10.1016/j.janxdis.2020.102258
Muthén, L. K., & Muthén, B. O. (1998-2017). Mplus User's Guide. Eight Edition. Los Angeles, CA: Muthén & Muthén.
Peiró, J. M., Luque-García, A., Soriano, A., & Martínez-Tur, V. (2023). Fears during the Covid-19 pandemics and their influence on physical health: A cross-sectional study on the general population in Spain. International journal of clinical and health psychology, 23(2), 100361. https://doi.org/10.1016/j.ijchp.2022.100361
Pakpour, A. H., & Griffiths, M. D. (2020). The fear of COVID-19 and its role in preventive behaviors. Journal of Concurrent Disorders, 2(1), 58-63. https://doi.org/10.54127/WCIC8036
Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47(5), 667–696. https://doi.org/10.1080/00273171.2012.715555
Reise, S. P., Bonifay, W. E., & Haviland, M. G. (2013). Scoring and modeling psychological measures in the presence of multidimensionality. Journal of Personality Assessment, 95(2), 129–140. https://doi.org/10.1080/00223891.2012.725437
Rodríguez-Hidalgo, A. J., Pantaleón, Y., Dios, I., & Falla, D. (2020). Fear of COVID-19, stress, and anxiety in university undergraduate students: a predictive model for depression. Frontiers in psychology, 11, 591797. https://doi.org/10.3389/fpsyg.2020.591797
Salari, N., Hosseinian-Far, A., Jalali, R., Vaisi-Raygani, A., Rasoulpoor, S., Mohammadi, M., Rasoulpoor, S., & Khaledi-Paveh, B. (2020). Prevalence of Stress, Anxiety, Depression among the General Population during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis. Globalization and Health, 16(57), 1-11. https://doi.org/10.1186/s12992-020-00589-w
Sánchez, A., Contreras, A., Corrales, J. C., & de la Fe, C. (2022). En el principio fue la zoonosis: One Health para combatir esta y futuras pandemias. Informe SESPAS 2022 [In the beginning it was zoonosis: One Health to combat this and future pandemics. SESPAS Report 2022]. Gaceta sanitaria, 36(1), S61–S67. https://doi.org/10.1016/j.gaceta.2022.01.012
Sánchez-Teruel, D., Robles-Bello, M. A., & Valencia-Naranjo, N. (2021). Do psychological strengths protect college students confined by COVID-19 to emotional distress? The role of gender. Personality and Individual Differences, 171, 110507. https://doi.org/10.1016/j.paid.2020.110507
Sandín, B., Valiente, R. M., García-Escalera, J., & Chorot, P. (2020). Impacto psicológico de la pandemia de COVID-19: Efectos negativos y positivos en población española asociados al periodo de confinamiento nacional. Revista de Psicopatología y Psicología Clínica, 25(1), 1-22. https://doi.org/10.5944/rppc.27569
Santabárbara, J., Bueno-Notivol, J., Lipnicki, D. M., Olaya, B., Pérez-Moreno, M., Gracia-García, P., Idoiaga-Mondragon, N. & Ozamiz-Etxebarria, N. (2021). Prevalence of anxiety in health care professionals during the COVID-19 pandemic: A rapid systematic review (on published articles in Medline) with meta-analysis. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 107, 110244. https://doi.org/10.1016/j.pnpbp.2021.110244
Seibel, S., Volmer, J., & Syrek, C. J. (2020). Get a taste of your leisure time: The relationship between leisure thoughts, pleasant anticipation, and work engagement. European Journal of Work and Organizational Psychology, 29(6), 889–906. https://doi.org/10.1080/1359432X.2020.1804875
Van den Bulck, J., & Custers, K. (2009). Television exposure is related to fear of avian flu, an Ecological Study across 23 member states of the European Union. European Journal of Public Health, 19(4), 370–374. https://doi.org/10.1093/eurpub/ckp061
World Health Organization [WHO]. (2021). WHO COVID-19 dashboard. https://covid19.who.int/
World Health Organization [WHO]. (2020). WHO COVID-19 preparedness and response progress report-1 February to 30 June 2020. https://www.who.int/publications/m/item/who-covid-19-preparedness-and-response-progress-report---1-february-to-30-june-2020
Zhang, Z., & Yuan, K. -H. (2015). Robust coefficients alpha and omega and confidence intervals with outlying observations and missing data: Methods and software. Educational and Psychological Measurement, 76(3), 387-411. https://doi.org/10.1177/0013164415594658
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