Comportamiento psicométrico de la Zung Self-Rating Anxiety Scale-15 (SAS-15) versión español, durante el aislamiento físico por pandemia por Covid-19
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Publicado:
abr. 18, 2020
Palabras clave:
SAS-15, Covid-19
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Resumen
En diciembre del año 2019 surgió un brote sin precedentes de neumonía de etiología desconocida en la ciudad de Wuhan (Hubei, China) y a partir de ahí un nuevo coronavirus fue identificado como el agente causal y posteriormente la enfermedad fue denominada COVID-19 por la Organización Mundial de la Salud (OMS), considerado un pariente del síndrome respiratorio agudo severo (SARS) y del síndrome respiratorio de Medio Oriente (MERS), causado por un betacoronavirus llamado SARS-CoV-2 que afecta el tracto respiratorio inferior y se manifiesta como neumonía en humanos1. Es así que, desde todo el mes de febrero de 2020, la pandemia de la enfermedad por coronavirus 2019 (COVID-19) en la provincia de Hubei, China, estaba en su apogeo, lo que requería el aislamiento físico de la población. Esta circunstancia se extendió por todo el mundo y el Aislamiento Físico es la estrategia fundamental para contener la velocidad de expansión de la enfermedad y evitar que los sistemas de salud en países como Colombia colapsen.
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Rodríguez-de Avila, U. E. ., Leon-Valle, Z. L. ., & Ceballos-Ospino, G. A. . (2020). Comportamiento psicométrico de la Zung Self-Rating Anxiety Scale-15 (SAS-15) versión español, durante el aislamiento físico por pandemia por Covid-19 . Duazary, 17(3), 7–9. https://doi.org/10.21676/2389783X.3469
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1. Sohrabia C, Alsafib Z, O'Neilla N, Khanb M, Kerwanc A, et al. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). International Journal of Surgery. 2020; 76 (2020): 71–6. https://doi.org/10.1016/j.ijsu.2020.02.034
2. Xiao H, Zhang Y, Kong D, Li S, Yang N. Social Capital and Sleep Quality in Individuals Who Self-Isolated for 14 Days During the Coronavirus Disease 2019 (covid-19) Outbreak in January 2020 in China. Med SciMonit. 2020A; 26: e923921. http://dx.doi.org/ http://dx.doi.org/10.12659/MSM.923921
3. Xiao H, Zhang Y, Kong D, Li S, Yang N. The Effects of Social Support on Sleep Quality of Medical Staff Treating Patients with Coronavirus Disease 2019 (COVID-19) in January and February 2020 in China. Med SciMonit. 2020B; 26: e923549. http://dx.doi.org/10.12659/MSM.923549
4. Cai H, Tu B, Chen L, Fu L, Jiang Y, et al. Psychological Impact and Coping Strategies of Frontline Medical Staff in Hunan Between January and March 2020 During the Outbreak of Coronavirus Disease 2019 (COVID 19) in Hubei, China. Med SciMonit. 2020; 26, e924171. http://dx.doi.org/10.12659 / MSM.924171
5. Liu C, Yang Y, Zhang X, Xu X, Dou Q, et al. The Prevalence and Influencing Factors for Anxiety in Medical Workers Fighting COVID-19 in China: A Cross-Sectional Survey. The Lancet. 2020; Available at SSRN: http://dx.doi.org/10.2139/ssrn.3548781
6. Zhu J, Sun L, Zhang L, Wang H, Fan A, et al. Prevalence and influence factors of anxiety and depression symptoms in front-line medical personnel fighting against COVID-19 in Gansu. The Lancet. 2020; Available at SSRN: http://dx.doi.org/10.2139/ssrn.3550054
7. Liu D, Ren Y, Yan F, Li Y, Xu X, et al. Psychological impact and predisposing factors of the 2019 coronavirus disease pandemic (COVID-19) on the general public in China. The Lancet. 2020; Available at SSRN: http://dx.doi.org/10.2139/ssrn.3551415
8. Gao J, Zheng P, Jia Y, Chen H, Mao, Y, et al. Mental Health Problems and Social Media Exposure During COVID-19 Outbreak. The Lancet. 2020; Available at SSRN: http://dx.doi.org/10.2139/ssrn.3541120
9. Brooks S, Webster R, Smith L, Woodland L, Wessely S, Greenberg N, Rubin G. The Psychological Impact of Quarantine and How to Reduce It: Rapid Review of the Evidence. The Lancet. 2020; 395 (10227): 912-920. http://dx.doi.org/10.1016/S0140-6736(20)30460-8
10. Guo, J. Liao, L., Wang, B., Li, X., Guo, L, et al. Psychological Effects of COVID-19 on Hospital Staff: A National Cross-Sectional Survey of China Mainland. The Lancet. 2020; Available at SSRN http://dx.doi.org/10.2139/ssrn.3550050
11. Liu X, Liu J, Zhong X. Psychological State of College Students During COVID-19 Epidemic. The Lancet. 2020; Available at SSRN: http://dx.doi.org/10.2139/ssrn.3552814
12. Zung W. A R.ating Instrument For Anxiety Disorders. Psychosomatics. 1971; 12(6): 371-379. DOI:10.1016/S0033-3182(71)71479-0
13. Kaiser H F. An index of factorial simplicity. Psychometrika. 1974; 34: 31-6
2. Xiao H, Zhang Y, Kong D, Li S, Yang N. Social Capital and Sleep Quality in Individuals Who Self-Isolated for 14 Days During the Coronavirus Disease 2019 (covid-19) Outbreak in January 2020 in China. Med SciMonit. 2020A; 26: e923921. http://dx.doi.org/ http://dx.doi.org/10.12659/MSM.923921
3. Xiao H, Zhang Y, Kong D, Li S, Yang N. The Effects of Social Support on Sleep Quality of Medical Staff Treating Patients with Coronavirus Disease 2019 (COVID-19) in January and February 2020 in China. Med SciMonit. 2020B; 26: e923549. http://dx.doi.org/10.12659/MSM.923549
4. Cai H, Tu B, Chen L, Fu L, Jiang Y, et al. Psychological Impact and Coping Strategies of Frontline Medical Staff in Hunan Between January and March 2020 During the Outbreak of Coronavirus Disease 2019 (COVID 19) in Hubei, China. Med SciMonit. 2020; 26, e924171. http://dx.doi.org/10.12659 / MSM.924171
5. Liu C, Yang Y, Zhang X, Xu X, Dou Q, et al. The Prevalence and Influencing Factors for Anxiety in Medical Workers Fighting COVID-19 in China: A Cross-Sectional Survey. The Lancet. 2020; Available at SSRN: http://dx.doi.org/10.2139/ssrn.3548781
6. Zhu J, Sun L, Zhang L, Wang H, Fan A, et al. Prevalence and influence factors of anxiety and depression symptoms in front-line medical personnel fighting against COVID-19 in Gansu. The Lancet. 2020; Available at SSRN: http://dx.doi.org/10.2139/ssrn.3550054
7. Liu D, Ren Y, Yan F, Li Y, Xu X, et al. Psychological impact and predisposing factors of the 2019 coronavirus disease pandemic (COVID-19) on the general public in China. The Lancet. 2020; Available at SSRN: http://dx.doi.org/10.2139/ssrn.3551415
8. Gao J, Zheng P, Jia Y, Chen H, Mao, Y, et al. Mental Health Problems and Social Media Exposure During COVID-19 Outbreak. The Lancet. 2020; Available at SSRN: http://dx.doi.org/10.2139/ssrn.3541120
9. Brooks S, Webster R, Smith L, Woodland L, Wessely S, Greenberg N, Rubin G. The Psychological Impact of Quarantine and How to Reduce It: Rapid Review of the Evidence. The Lancet. 2020; 395 (10227): 912-920. http://dx.doi.org/10.1016/S0140-6736(20)30460-8
10. Guo, J. Liao, L., Wang, B., Li, X., Guo, L, et al. Psychological Effects of COVID-19 on Hospital Staff: A National Cross-Sectional Survey of China Mainland. The Lancet. 2020; Available at SSRN http://dx.doi.org/10.2139/ssrn.3550050
11. Liu X, Liu J, Zhong X. Psychological State of College Students During COVID-19 Epidemic. The Lancet. 2020; Available at SSRN: http://dx.doi.org/10.2139/ssrn.3552814
12. Zung W. A R.ating Instrument For Anxiety Disorders. Psychosomatics. 1971; 12(6): 371-379. DOI:10.1016/S0033-3182(71)71479-0
13. Kaiser H F. An index of factorial simplicity. Psychometrika. 1974; 34: 31-6