Pandemic mental fatigue scale due to COVID-19: Development and initial validation
Mental fatigue may be an unintended result of restrictions to minimize contagion during the COVID-19 pandemic. Even so, valid and reliable instruments to study the phenomenon are not available in Latin America. Objective: To analyze the psychometric properties of the new FaCov19 scale that assesses...
- Autores:
-
Puerta-Cortés, Diana Ximena
González-Santos, Bianda Jeni
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Universidad de Ibagué
- Repositorio:
- Repositorio Universidad de Ibagué
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unibague.edu.co:20.500.12313/5803
- Acceso en línea:
- https://hdl.handle.net/20.500.12313/5803
https://www.sciencedirect.com/science/article/abs/pii/S0034745024000386
- Palabra clave:
- Covid-19 - Fatiga mental
COVID-19
Mental fatigue
Pandemic
Quarantine
- Rights
- closedAccess
- License
- © 2024 Asociación Colombiana de Psiquiatría
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Pandemic mental fatigue scale due to COVID-19: Development and initial validation |
| dc.title.translated.none.fl_str_mv |
Escala de fatiga mental por la pandemia debida a la COVID-19: desarrollo y validación inicial |
| title |
Pandemic mental fatigue scale due to COVID-19: Development and initial validation |
| spellingShingle |
Pandemic mental fatigue scale due to COVID-19: Development and initial validation Covid-19 - Fatiga mental COVID-19 Mental fatigue Pandemic Quarantine |
| title_short |
Pandemic mental fatigue scale due to COVID-19: Development and initial validation |
| title_full |
Pandemic mental fatigue scale due to COVID-19: Development and initial validation |
| title_fullStr |
Pandemic mental fatigue scale due to COVID-19: Development and initial validation |
| title_full_unstemmed |
Pandemic mental fatigue scale due to COVID-19: Development and initial validation |
| title_sort |
Pandemic mental fatigue scale due to COVID-19: Development and initial validation |
| dc.creator.fl_str_mv |
Puerta-Cortés, Diana Ximena González-Santos, Bianda Jeni |
| dc.contributor.author.none.fl_str_mv |
Puerta-Cortés, Diana Ximena González-Santos, Bianda Jeni |
| dc.subject.armarc.none.fl_str_mv |
Covid-19 - Fatiga mental |
| topic |
Covid-19 - Fatiga mental COVID-19 Mental fatigue Pandemic Quarantine |
| dc.subject.proposal.eng.fl_str_mv |
COVID-19 Mental fatigue Pandemic Quarantine |
| description |
Mental fatigue may be an unintended result of restrictions to minimize contagion during the COVID-19 pandemic. Even so, valid and reliable instruments to study the phenomenon are not available in Latin America. Objective: To analyze the psychometric properties of the new FaCov19 scale that assesses pandemic fatigue in a non-clinical sample. Methods: Exploratory study with cross-sectional design. The 10-item FaCov19 questionnaire was designed and applied online to 369 Colombian participants. Psychometric analyses were performed to identify the reliability and validity of the instrument. Results: The reliability of the instrument from McDonald's Omega was ω = 0.83. In the exploratory factor analysis the Kaiser-Meyer-Olkin coefficient (KMO) was 0.84 and Bartlett's test of sphericity χ2 of 1074.57; P = .00. In confirmatory factor analysis, the proposed FaCov19 test model was tested (χ2/gl = 2.79; CFI = 0.94; GFI = 0.95; TLI = 0.92; NFI = 0.91; IFI = 0.94 and RMSEA = 0.07). Conclusions: The FaCov19 questionnaire presents a three-dimensional structure, good internal consistency and acceptable validity. The study provides empirical and methodological evidence of a new questionnaire to assess mental fatigue due to the FaCov19 pandemic. It is an instrument adaptable to future pandemics, since the phenomenon of mental fatigue is prevalent in these circumstances and could possibly explain the cause of the reduction in self-care measures. |
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2024 |
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2024 |
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2025-10-17T23:09:38Z |
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2025-10-17T23:09:38Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Text |
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Puerta-Cortés, D y González-Santos, B. (2024). Pandemic mental fatigue scale due to COVID-19: Development and initial validation. Revista Colombiana de Psiquiatria. DOI: 10.1016/j.rcp.2024.04.005 |
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10.1016/j.rcp.2024.04.005 |
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00347450 |
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https://hdl.handle.net/20.500.12313/5803 |
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https://www.sciencedirect.com/science/article/abs/pii/S0034745024000386 |
| identifier_str_mv |
Puerta-Cortés, D y González-Santos, B. (2024). Pandemic mental fatigue scale due to COVID-19: Development and initial validation. Revista Colombiana de Psiquiatria. DOI: 10.1016/j.rcp.2024.04.005 10.1016/j.rcp.2024.04.005 00347450 |
| url |
https://hdl.handle.net/20.500.12313/5803 https://www.sciencedirect.com/science/article/abs/pii/S0034745024000386 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartofjournal.none.fl_str_mv |
Revista Colombiana de Psiquiatria |
| dc.relation.references.none.fl_str_mv |
T. Li et al. Modeling and optimal control of mutated COVID-19 (Delta strain) with imperfect vaccination Chaos Solitons Fractals. (2022) F. Rahimi et al. Is Omicron the last SARS-CoV-2 variant of concern? Arch Med Res. (2022) R. El-Shabasy et al. Three waves changes, new variant strains, and vaccination effect against COVID-19 pandemic Int J Biol Macromol. (2022) F. Ghasemi et al. Exploring unprecedented problems of academicians during the COVID 19 pandemic and their relationships with fatigue and mental health Gene Rep. (2021) B. Tendal et al. Weekly updates of national living evidence-based guidelines: Methods for the Australian living guidelines for care of people with COVID-19 J Clin Epidemiol. (2021) Y. Zhou et al. Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: A modelling study using mobile phone data Lancet Digit Health. (2020) S.K. Brooks et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence Lancet. (2020) H. Yao et al. Patients with mental health disorders in the COVID-19 epidemic Lancet Psychiatry. (2020) B.J. Quilty et al. Quarantine and testing strategies in contact tracing Lancet Public Health. (2021) J. Sha et al. Clinical and upper airway characteristics of 3715 patients with the Omicron variant of SARS-CoV-2 in Changchun, China J Infect Public Health. (2023) J.B. Krakowczyk et al. Pandemic fatigue, psychopathological risk factors, and vaccination attitudes during the COVID-19 pandemic in 2021 — a network analysis J Affect Disord Rep. (2022) M.B. Herlambang et al. Modeling motivation using goal competition in mental fatigue studies J Math Psychol. (2021) A.K.M. Islam et al. Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective Technol Forecast Soc Change. (2020) Z. Teng et al. Psychological status and fatigue of frontline staff two months after the COVID-19 pandemic outbreak in China: A cross-sectional study J Affect Disord. (2020) T. Chalder et al. Development of a fatigue scale J Psychosom Res. (1993) E.M. Smets et al. The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue J Psychosom Res. (1995) A. Dhir et al. Online social media fatigue and psychological wellbeing — A study of compulsive use, fear of missing out, fatigue, anxiety and depression Int J Inf Manag. (2018) E. Morgul et al. COVID-19 pandemic and psychological fatigue in Turkey Int J Soc Psychiatry. (2021) J.B. Li et al. Chinese public's knowledge, perceived severity, and perceived controllability of COVID-19 and their associations with emotional and behavioural reactions, social participation, and precautionary behaviour: A national survey BMC Public Health. (2020) Organización Mundial de la Salud [OMS]. Infecciones por coronavirus. 2020. Disponible en:... L.J. Labrague Pandemic fatigue and clinical nurses’ mental health, sleep quality and job contentment during the COVID-19 pandemic: The mediating role of resilience J Nurs Manag. (2021) OMS. Pandemic fatigue — reinvigorating the public to prevent COVID-19. Policy framework for supporting pandemic... C. Galland-Decker et al. Prevalence and factors associated with fatigue in the Lausanne middle-aged population: A population-based, cross-sectional survey BMJ Open. (2019) |
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© 2024 Asociación Colombiana de Psiquiatría |
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Puerta-Cortés, Diana Ximena42d16ffc-a64a-4702-8ce7-996503e9b1a2-1González-Santos, Bianda Jenia4dbd7d9-92d9-4e5b-8d4a-fe4ee5deacfb-12025-10-17T23:09:38Z2025-10-17T23:09:38Z2024Mental fatigue may be an unintended result of restrictions to minimize contagion during the COVID-19 pandemic. Even so, valid and reliable instruments to study the phenomenon are not available in Latin America. Objective: To analyze the psychometric properties of the new FaCov19 scale that assesses pandemic fatigue in a non-clinical sample. Methods: Exploratory study with cross-sectional design. The 10-item FaCov19 questionnaire was designed and applied online to 369 Colombian participants. Psychometric analyses were performed to identify the reliability and validity of the instrument. Results: The reliability of the instrument from McDonald's Omega was ω = 0.83. In the exploratory factor analysis the Kaiser-Meyer-Olkin coefficient (KMO) was 0.84 and Bartlett's test of sphericity χ2 of 1074.57; P = .00. In confirmatory factor analysis, the proposed FaCov19 test model was tested (χ2/gl = 2.79; CFI = 0.94; GFI = 0.95; TLI = 0.92; NFI = 0.91; IFI = 0.94 and RMSEA = 0.07). Conclusions: The FaCov19 questionnaire presents a three-dimensional structure, good internal consistency and acceptable validity. The study provides empirical and methodological evidence of a new questionnaire to assess mental fatigue due to the FaCov19 pandemic. It is an instrument adaptable to future pandemics, since the phenomenon of mental fatigue is prevalent in these circumstances and could possibly explain the cause of the reduction in self-care measures.application/pdfPuerta-Cortés, D y González-Santos, B. (2024). Pandemic mental fatigue scale due to COVID-19: Development and initial validation. Revista Colombiana de Psiquiatria. DOI: 10.1016/j.rcp.2024.04.00510.1016/j.rcp.2024.04.00500347450https://hdl.handle.net/20.500.12313/5803https://www.sciencedirect.com/science/article/abs/pii/S0034745024000386engAsociacion Colombiana de PsiquiatriaEspañaRevista Colombiana de PsiquiatriaT. Li et al. Modeling and optimal control of mutated COVID-19 (Delta strain) with imperfect vaccination Chaos Solitons Fractals. (2022)F. Rahimi et al. Is Omicron the last SARS-CoV-2 variant of concern? Arch Med Res. (2022)R. El-Shabasy et al. Three waves changes, new variant strains, and vaccination effect against COVID-19 pandemic Int J Biol Macromol. (2022)F. Ghasemi et al. Exploring unprecedented problems of academicians during the COVID 19 pandemic and their relationships with fatigue and mental health Gene Rep. (2021)B. Tendal et al. Weekly updates of national living evidence-based guidelines: Methods for the Australian living guidelines for care of people with COVID-19 J Clin Epidemiol. (2021)Y. Zhou et al. Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: A modelling study using mobile phone data Lancet Digit Health. (2020)S.K. Brooks et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence Lancet. (2020)H. Yao et al. Patients with mental health disorders in the COVID-19 epidemic Lancet Psychiatry. (2020)B.J. Quilty et al. Quarantine and testing strategies in contact tracing Lancet Public Health. (2021)J. Sha et al. Clinical and upper airway characteristics of 3715 patients with the Omicron variant of SARS-CoV-2 in Changchun, China J Infect Public Health. (2023)J.B. Krakowczyk et al. Pandemic fatigue, psychopathological risk factors, and vaccination attitudes during the COVID-19 pandemic in 2021 — a network analysis J Affect Disord Rep. (2022)M.B. Herlambang et al. Modeling motivation using goal competition in mental fatigue studies J Math Psychol. (2021)A.K.M. Islam et al. Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective Technol Forecast Soc Change. (2020)Z. Teng et al. Psychological status and fatigue of frontline staff two months after the COVID-19 pandemic outbreak in China: A cross-sectional study J Affect Disord. (2020)T. Chalder et al. Development of a fatigue scale J Psychosom Res. (1993)E.M. Smets et al. The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue J Psychosom Res. (1995)A. Dhir et al. Online social media fatigue and psychological wellbeing — A study of compulsive use, fear of missing out, fatigue, anxiety and depression Int J Inf Manag. (2018)E. Morgul et al. COVID-19 pandemic and psychological fatigue in Turkey Int J Soc Psychiatry. (2021)J.B. Li et al. Chinese public's knowledge, perceived severity, and perceived controllability of COVID-19 and their associations with emotional and behavioural reactions, social participation, and precautionary behaviour: A national survey BMC Public Health. (2020)Organización Mundial de la Salud [OMS]. Infecciones por coronavirus. 2020. Disponible en:...L.J. Labrague Pandemic fatigue and clinical nurses’ mental health, sleep quality and job contentment during the COVID-19 pandemic: The mediating role of resilience J Nurs Manag. (2021)OMS. Pandemic fatigue — reinvigorating the public to prevent COVID-19. Policy framework for supporting pandemic...C. Galland-Decker et al. Prevalence and factors associated with fatigue in the Lausanne middle-aged population: A population-based, cross-sectional survey BMJ Open. (2019)© 2024 Asociación Colombiana de Psiquiatríainfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbAtribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/Covid-19 - Fatiga mentalCOVID-19Mental fatiguePandemicQuarantinePandemic mental fatigue scale due to COVID-19: Development and initial validationEscala de fatiga mental por la pandemia debida a la COVID-19: desarrollo y validación inicialArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPublicationLICENSElicense.txtlicense.txttext/plain; charset=utf-8134https://repositorio.unibague.edu.co/bitstreams/894793ce-9c1a-447c-a442-ae13bc11cbc1/download2fa3e590786b9c0f3ceba1b9656b7ac3MD51ORIGINALArtículo.pdfArtículo.pdfapplication/pdf132290https://repositorio.unibague.edu.co/bitstreams/1197a76a-4984-4964-a1a9-498c1622b099/download9dc417b1959ad86fc635823abd86cf6fMD52TEXTArtículo.pdf.txtArtículo.pdf.txtExtracted texttext/plain2025https://repositorio.unibague.edu.co/bitstreams/9e4fc118-0e42-49da-9965-e4b75ccd640f/downloadcc78ba5e0f75da217bbcad628e4c7114MD53THUMBNAILArtículo.pdf.jpgArtículo.pdf.jpgIM Thumbnailimage/jpeg24224https://repositorio.unibague.edu.co/bitstreams/8f6904fc-326d-4c9f-ae87-4ecd0f7aa46a/downloada86acd2c98dd536a30decae5ea1f8d56MD5420.500.12313/5803oai:repositorio.unibague.edu.co:20.500.12313/58032025-10-18 03:02:34.275https://creativecommons.org/licenses/by-nc/4.0/© 2024 Asociación Colombiana de Psiquiatríahttps://repositorio.unibague.edu.coRepositorio Institucional Universidad de Ibaguébdigital@metabiblioteca.comQ3JlYXRpdmUgQ29tbW9ucyBBdHRyaWJ1dGlvbi1Ob25Db21tZXJjaWFsLU5vRGVyaXZhdGl2ZXMgNC4wIEludGVybmF0aW9uYWwgTGljZW5zZQ0KaHR0cHM6Ly9jcmVhdGl2ZWNvbW1vbnMub3JnL2xpY2Vuc2VzL2J5LW5jLW5kLzQuMC8= |