Covidistres diverse dataset on psychological and behavioural outcomes one year into the Covid-19 pandemic
Durante el inicio de la pandemia de COVID-19, el Consorcio COVIDiSTRESS lanzó una encuesta global de acceso abierto para comprender y mejorar las experiencias de las personas relacionadas con la crisis. Un año después, ampliamos esta línea de investigación lanzando una nueva encuesta para abordar el...
- Autores:
-
Tamayo Agudelo, William Fernando
Blackburn, Angélique M.
Vestergren, Sara
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Universidad Cooperativa de Colombia
- Repositorio:
- Repositorio UCC
- Idioma:
- OAI Identifier:
- oai:repository.ucc.edu.co:20.500.12494/47403
- Acceso en línea:
- https://doi.org/10.1038/s41597-022-01383-6
https://hdl.handle.net/20.500.12494/47403
- Palabra clave:
- Covid - 19
Ciencia abierta
Estrés
Covid-19
Open science
Stress
- Rights
- openAccess
- License
- Atribución
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dc.title.spa.fl_str_mv |
Covidistres diverse dataset on psychological and behavioural outcomes one year into the Covid-19 pandemic |
title |
Covidistres diverse dataset on psychological and behavioural outcomes one year into the Covid-19 pandemic |
spellingShingle |
Covidistres diverse dataset on psychological and behavioural outcomes one year into the Covid-19 pandemic Covid - 19 Ciencia abierta Estrés Covid-19 Open science Stress |
title_short |
Covidistres diverse dataset on psychological and behavioural outcomes one year into the Covid-19 pandemic |
title_full |
Covidistres diverse dataset on psychological and behavioural outcomes one year into the Covid-19 pandemic |
title_fullStr |
Covidistres diverse dataset on psychological and behavioural outcomes one year into the Covid-19 pandemic |
title_full_unstemmed |
Covidistres diverse dataset on psychological and behavioural outcomes one year into the Covid-19 pandemic |
title_sort |
Covidistres diverse dataset on psychological and behavioural outcomes one year into the Covid-19 pandemic |
dc.creator.fl_str_mv |
Tamayo Agudelo, William Fernando Blackburn, Angélique M. Vestergren, Sara |
dc.contributor.author.none.fl_str_mv |
Tamayo Agudelo, William Fernando Blackburn, Angélique M. Vestergren, Sara |
dc.subject.spa.fl_str_mv |
Covid - 19 Ciencia abierta Estrés |
topic |
Covid - 19 Ciencia abierta Estrés Covid-19 Open science Stress |
dc.subject.other.spa.fl_str_mv |
Covid-19 Open science Stress |
description |
Durante el inicio de la pandemia de COVID-19, el Consorcio COVIDiSTRESS lanzó una encuesta global de acceso abierto para comprender y mejorar las experiencias de las personas relacionadas con la crisis. Un año después, ampliamos esta línea de investigación lanzando una nueva encuesta para abordar el panorama dinámico de la pandemia. Esta encuesta se publicó con el objetivo de abordar la diversidad, la equidad y la inclusión trabajando con más de 150 investigadores de todo el mundo que recopilaron datos en 48 idiomas y dialectos en 137 países. El conjunto de datos limpio resultante que se describe aquí incluye 15 740 de más de 20 000 respuestas. El conjunto de datos permite el estudio transcultural del bienestar psicológico y los comportamientos un año después de la pandemia. Incluye medidas de estrés, resiliencia, actitudes hacia las vacunas, confianza en el gobierno y los científicos, cumplimiento y adquisición de información y percepciones erróneas sobre el COVID-19. Se encuentran disponibles conjuntos de datos sin procesar y limpios de acceso abierto con puntajes calculados. Así como nuestro conjunto de datos COVIDiSTRESS inicial ha facilitado las decisiones de políticas gubernamentales con respecto a las crisis de salud, los investigadores y los responsables de la formulación de políticas pueden utilizar este conjunto de datos para informar la investigación, las decisiones y las políticas. |
publishDate |
2022 |
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2022-12-07T16:46:48Z |
dc.date.available.none.fl_str_mv |
2022-12-07T16:46:48Z |
dc.date.issued.none.fl_str_mv |
2022-06-07 |
dc.type.none.fl_str_mv |
Artículo |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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2052-4463 |
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https://doi.org/10.1038/s41597-022-01383-6 |
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https://hdl.handle.net/20.500.12494/47403 |
dc.identifier.bibliographicCitation.spa.fl_str_mv |
Blackburn, A.M., Vestergren, S. & the COVIDiSTRESS II Consortium. COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic. Sci Data 9, 331 (2022). https://doi.org/10.1038/s41597-022-01383-6 |
identifier_str_mv |
2052-4463 Blackburn, A.M., Vestergren, S. & the COVIDiSTRESS II Consortium. COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic. Sci Data 9, 331 (2022). https://doi.org/10.1038/s41597-022-01383-6 |
url |
https://doi.org/10.1038/s41597-022-01383-6 https://hdl.handle.net/20.500.12494/47403 |
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https://www.nature.com/articles/s41597-022-01383-6#Abs1 |
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Scientific Data |
dc.relation.references.spa.fl_str_mv |
Yamada, Y. et al. COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak. Sci. Data 8, 1–23, https://doi.org/10.1038/s41597-020-00784-9 (2021). Lieberoth, A. et al. Stress and worry in the 2020 coronavirus pandemic: relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey. R. Soc. Open Sci. 8, 200589, https://doi.org/10.1098/rsos.200589 (2021). COVIDiSTRESS Consortium. COVIDiSTRESS global survey. Open Science Framework, https://doi.org/10.17605/OSF.IO/Z39US (2020). Schuster, C. et al. Responding to COVID-19 through surveys of public servants. Public. Adm. Rev. 80, 792–796, https://doi.org/10.1111/puar.13246 (2020). Lim, J. M. et al. Population anxiety and positive behaviour change during the COVID-19 epidemic: Cross-sectional surveys in Singapore, China and Italy. Influenza and other Respir. Viruses 15, 45–55, https://doi.org/10.1111/irv.12785 (2021). Aran, M. A., Aktakke, N., Kibar, Z. S. & Üçkardeşler, E. How to assess the child poverty and distributional impact of COVID-19 using household budget surveys: An application using Turkish data. Eur. J. Dev. Res. https://doi.org/10.1057/s41287-021-00451-8 (2021). Wise, J. Covid-19: Surveys indicate low infection level in community. BMJ (Clinical Res. Ed.) 369, m1992, https://doi.org/10.1136/bmj.m1992 (2020). Willie, M. M. & Skosana, E. COVID-19 Vaccines Report Medical Schemes Member Survey Policy, Research and Monitoring Council for Medical Schemes (2021). Yamada, Y. et al. Remarks on rapid, remote international collaborations under lockdown. Nature, Research Data at Springer (2021). Yamada, Y. et al. COVIDiSTRESS: One of the world’s largest consortia of researchers for investigating psychological, social, and behavioral consequences of the COVID-19 pandemic. Nature, Research Data at Springer (2021). Den Faglige Referencegruppe Nationalt Varslingssystem til Risikovurdering og Tiltag til Håndtering af COVID-19. Vurdering Vedrørende Genåbning fra Faglig Referencegruppe til COVID-19 Nationalt Varslingssystem. (2021). Tyson, A., Johnson, C. & Funk, C. U.S. public now divided over whether to get COVID-19 vaccine. (2020). Goodman, E. et al. Adolescents’ perceptions of social status: development and evaluation of a new indicator. Pediatrics 108, E31, https://doi.org/10.1542/peds.108.2.e31 (2001). Adler, N. E., Epel, E. S., Castellazzo, G. & Ickovics, J. R. Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy white women. Health Psychol. 19, 586–592, https://doi.org/10.1037//0278-6133.19.6.586 (2000). Vignoles, V. L., Jaser, Z., Taylor, F. & Ntontis, E. Harnessing shared identities to mobilize resilient responses to the COVID-19 pandemic. Political Psychol. 42, 817–826, https://doi.org/10.1111/pops.12726 (2021). Postmes, T., Haslam, S. A. & Jans, L. A single-item measure of social identification: reliability, validity, and utility. Br. J. Soc. Psychol. 52, 597–617, https://doi.org/10.1111/bjso.12006 (2013). Cohen, S., Kamarck, T. & Mermelstein, R. A global measure of perceived stress. J. Health Soc. Behav. 24, 385–396, https://doi.org/10.2307/2136404 (1983). Lock, S. et al. Secondary stressors and extreme events and disasters: a systematic review of primary research from 2010-2011. PLoS Curr.4, https://doi.org/10.1371/currents.dis.a9b76fed1b2dd5c5bfcfc13c87a2f24f (2012). Kaniasty, K. & Norris, F. H. In search of altruistic community: patterns of social support mobilization following Hurricane Hugo. Am. J. Community Psychol. 23, 447–477, https://doi.org/10.1007/bf02506964 (1995). Rubin, G. J. et al. The design of a survey questionnaire to measure perceptions and behaviour during an influenza pandemic: the Flu TElephone Survey Template (FluTEST). (NIHR Journals Library, 2014). Guess, A. M., Nyhan, B., O’Keeffe, Z. & Reifler, J. The sources and correlates of exposure to vaccine-related (mis)information online. Vaccine 38, 7799–7805, https://doi.org/10.1016/j.vaccine.2020.10.018 (2020). Smith, B. W. et al. The brief resilience scale: assessing the ability to bounce back. Int. J. Behav. Med. 15, 194–200, https://doi.org/10.1080/10705500802222972 (2008). Bottesi, G. et al. A short-form version of the Intolerance of Uncertainty Scale: Initial developmetn of the IUS-5. https://doi.org/10.31234/osf.io/b62wf (2020). Brown-Johnson, C. G. et al. Trust in health information sources: Survey analysis of variation by sociodemographic and tobacco use status in Oklahoma. Public Health Surveill. 4, e8, https://doi.org/10.2196/publichealth.6260 (2018). Plaster, A. N., Painter, J. E., Tjersland, D. H. & Jacobsen, K. H. University students’ knowledge, attitudes, and sources of information about Zika Virus. J. Community Health 43, 647–655, https://doi.org/10.1007/s10900-017-0463-z (2018). Uscinski, J. E. et al. Why do people believe COVID-19 conspiracy theories? The Harvard Kennedy School (HKS) Misinformation Review https://doi.org/10.37016/mr-2020-015 (2020). Uscinski, J. E., Klofstad, C. & Atkinson, M. D. What drives conspiratorial beliefs? The role of informational cues and predispositions. Political Res. Q. 69, 57–71, https://doi.org/10.1177/1065912915621621 (2016). Graham, J. et al. Mapping the moral domain. J. Pers. Soc. Psychol. 101, 366–385, https://doi.org/10.1037/a0021847 (2011). Graham, J., Haidt, J. & Nosek, B. A. Liberals and conservatives rely on different sets of moral foundations. J. Pers. Soc. Psychol. 96, 1029–1046, https://doi.org/10.1037/a0015141 (2009). Balzarotti, S. The emotion regulation questionnaire: Factor structure and measurement invariance in an Italian sample of community dwelling adults. Current Psychology, https://doi.org/10.1007/s12144-019-00426-3 (2019). COVIDiSTRESS Consortium II. COVIDiSTRESS Global Survey - Round II. Open Science Framework https://doi.org/10.17605/OSF.IO/36TSD (2021). Arend, M. G. & Schäfer, T. Statistical power in two-level models: A tutorial based on Monte Carlo simulation. Psychol. Methods 24, 1–19, https://doi.org/10.1037/met0000195 (2019). Cronbach, L. J. Coefficient alpha and the internal structure of tests. Psychometrika 16, 297–334 (1951). Blackburn, A. M. A Study of the Relationship between Code Switching and the Bilingual Advantage: Evidence that language use modulates neural indices of language processing and cognitive control Ph.D. Neurobiology thesis, University of Texas at San Antonio, (2013). Taber, K. S. The use of Cronbach’s Alpha when developing and reporting research instruments in science education. Res. Sci. Edu. 48, 1273–1296, https://doi.org/10.1007/s11165-016-9602-2 (2018). Gierveld, J. D. J. & Tilburg, T. V. A 6-item scale for overall, emotional, and social loneliness: Confirmatory tests on survey data. Res.Aging 28, 582–598, https://doi.org/10.1177/0164027506289723 (2006). DeVellis, R. F. Scale Development: Theory and Applications. Second edn, (SAGE Publications, 2003). Nunnally, J. C. Psychometric theory. 2nd edn, (McGraw-Hill, 1978). United Nations, Department of Economic and Social Affairs, Population Division. World Population Prospects 2019: Volume II: Demographic Profiles. (2019). The World Bank. World Development Indicators, Population, female (% of total population). https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS (2019). UNESCO Institute for Statistics. The World Bank. Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative), https://data.worldbank.org/indicator/SE.SEC.CUAT.UP.ZS (2021). Barro, R. & Lee, J.-W. A New Data Set of Educational Attainment in the World, 1950-2010. Journal of Development Economics 104, 184–198 (2013). Ortiz-Ospina, E. & Roser, M. Marriages and Divorces, https://ourworldindata.org/marriages-and-divorces (2020). Dong, E., Du, H. & Gardner, L. An interactive web-based dashboard to track COVID-19 in real time. The Lancet Infectious Diseases 20, 533–534, https://doi.org/10.1016/S1473-3099(20)30120-1 (2020). Ritchie, H. et al. Coronavirus Pandemic (COVID-19), https://ourworldindata.org/coronavirus (2020). |
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Tamayo Agudelo, William FernandoBlackburn, Angélique M.Vestergren, Sara92022-12-07T16:46:48Z2022-12-07T16:46:48Z2022-06-072052-4463https://doi.org/10.1038/s41597-022-01383-6https://hdl.handle.net/20.500.12494/47403Blackburn, A.M., Vestergren, S. & the COVIDiSTRESS II Consortium. COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic. Sci Data 9, 331 (2022). https://doi.org/10.1038/s41597-022-01383-6Durante el inicio de la pandemia de COVID-19, el Consorcio COVIDiSTRESS lanzó una encuesta global de acceso abierto para comprender y mejorar las experiencias de las personas relacionadas con la crisis. Un año después, ampliamos esta línea de investigación lanzando una nueva encuesta para abordar el panorama dinámico de la pandemia. Esta encuesta se publicó con el objetivo de abordar la diversidad, la equidad y la inclusión trabajando con más de 150 investigadores de todo el mundo que recopilaron datos en 48 idiomas y dialectos en 137 países. El conjunto de datos limpio resultante que se describe aquí incluye 15 740 de más de 20 000 respuestas. El conjunto de datos permite el estudio transcultural del bienestar psicológico y los comportamientos un año después de la pandemia. Incluye medidas de estrés, resiliencia, actitudes hacia las vacunas, confianza en el gobierno y los científicos, cumplimiento y adquisición de información y percepciones erróneas sobre el COVID-19. Se encuentran disponibles conjuntos de datos sin procesar y limpios de acceso abierto con puntajes calculados. Así como nuestro conjunto de datos COVIDiSTRESS inicial ha facilitado las decisiones de políticas gubernamentales con respecto a las crisis de salud, los investigadores y los responsables de la formulación de políticas pueden utilizar este conjunto de datos para informar la investigación, las decisiones y las políticas.During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000168041https://orcid.org/0000-0002-5858-4964https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000004241william.tamayoa@campusucc.edu.cohttps://scholar.google.es/citations?user=RBbJI3sAAAAJ&hl=es25 p.Universidad Cooperativa de Colombia, Facultad de Ciencias Sociales, Psicología, Medellín y EnvigadoPsicologíaMedellínhttps://www.nature.com/articles/s41597-022-01383-6#Abs1Scientific DataYamada, Y. et al. COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak. Sci. Data 8, 1–23, https://doi.org/10.1038/s41597-020-00784-9 (2021).Lieberoth, A. et al. Stress and worry in the 2020 coronavirus pandemic: relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey. R. Soc. Open Sci. 8, 200589, https://doi.org/10.1098/rsos.200589 (2021).COVIDiSTRESS Consortium. COVIDiSTRESS global survey. Open Science Framework, https://doi.org/10.17605/OSF.IO/Z39US (2020).Schuster, C. et al. Responding to COVID-19 through surveys of public servants. Public. Adm. Rev. 80, 792–796, https://doi.org/10.1111/puar.13246 (2020).Lim, J. M. et al. Population anxiety and positive behaviour change during the COVID-19 epidemic: Cross-sectional surveys in Singapore, China and Italy. Influenza and other Respir. Viruses 15, 45–55, https://doi.org/10.1111/irv.12785 (2021).Aran, M. A., Aktakke, N., Kibar, Z. S. & Üçkardeşler, E. How to assess the child poverty and distributional impact of COVID-19 using household budget surveys: An application using Turkish data. Eur. J. Dev. Res. https://doi.org/10.1057/s41287-021-00451-8 (2021).Wise, J. Covid-19: Surveys indicate low infection level in community. BMJ (Clinical Res. Ed.) 369, m1992, https://doi.org/10.1136/bmj.m1992 (2020).Willie, M. M. & Skosana, E. COVID-19 Vaccines Report Medical Schemes Member Survey Policy, Research and Monitoring Council for Medical Schemes (2021).Yamada, Y. et al. Remarks on rapid, remote international collaborations under lockdown. Nature, Research Data at Springer (2021).Yamada, Y. et al. COVIDiSTRESS: One of the world’s largest consortia of researchers for investigating psychological, social, and behavioral consequences of the COVID-19 pandemic. Nature, Research Data at Springer (2021).Den Faglige Referencegruppe Nationalt Varslingssystem til Risikovurdering og Tiltag til Håndtering af COVID-19. Vurdering Vedrørende Genåbning fra Faglig Referencegruppe til COVID-19 Nationalt Varslingssystem. (2021).Tyson, A., Johnson, C. & Funk, C. U.S. public now divided over whether to get COVID-19 vaccine. (2020).Goodman, E. et al. Adolescents’ perceptions of social status: development and evaluation of a new indicator. Pediatrics 108, E31, https://doi.org/10.1542/peds.108.2.e31 (2001).Adler, N. E., Epel, E. S., Castellazzo, G. & Ickovics, J. R. Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy white women. Health Psychol. 19, 586–592, https://doi.org/10.1037//0278-6133.19.6.586 (2000).Vignoles, V. L., Jaser, Z., Taylor, F. & Ntontis, E. Harnessing shared identities to mobilize resilient responses to the COVID-19 pandemic. Political Psychol. 42, 817–826, https://doi.org/10.1111/pops.12726 (2021).Postmes, T., Haslam, S. A. & Jans, L. A single-item measure of social identification: reliability, validity, and utility. Br. J. Soc. Psychol. 52, 597–617, https://doi.org/10.1111/bjso.12006 (2013).Cohen, S., Kamarck, T. & Mermelstein, R. A global measure of perceived stress. J. Health Soc. Behav. 24, 385–396, https://doi.org/10.2307/2136404 (1983).Lock, S. et al. Secondary stressors and extreme events and disasters: a systematic review of primary research from 2010-2011. PLoS Curr.4, https://doi.org/10.1371/currents.dis.a9b76fed1b2dd5c5bfcfc13c87a2f24f (2012).Kaniasty, K. & Norris, F. H. In search of altruistic community: patterns of social support mobilization following Hurricane Hugo. Am. J. Community Psychol. 23, 447–477, https://doi.org/10.1007/bf02506964 (1995).Rubin, G. J. et al. The design of a survey questionnaire to measure perceptions and behaviour during an influenza pandemic: the Flu TElephone Survey Template (FluTEST). (NIHR Journals Library, 2014).Guess, A. M., Nyhan, B., O’Keeffe, Z. & Reifler, J. The sources and correlates of exposure to vaccine-related (mis)information online. Vaccine 38, 7799–7805, https://doi.org/10.1016/j.vaccine.2020.10.018 (2020).Smith, B. W. et al. The brief resilience scale: assessing the ability to bounce back. Int. J. Behav. Med. 15, 194–200, https://doi.org/10.1080/10705500802222972 (2008).Bottesi, G. et al. A short-form version of the Intolerance of Uncertainty Scale: Initial developmetn of the IUS-5. https://doi.org/10.31234/osf.io/b62wf (2020).Brown-Johnson, C. G. et al. Trust in health information sources: Survey analysis of variation by sociodemographic and tobacco use status in Oklahoma. Public Health Surveill. 4, e8, https://doi.org/10.2196/publichealth.6260 (2018).Plaster, A. N., Painter, J. E., Tjersland, D. H. & Jacobsen, K. H. University students’ knowledge, attitudes, and sources of information about Zika Virus. J. Community Health 43, 647–655, https://doi.org/10.1007/s10900-017-0463-z (2018).Uscinski, J. E. et al. Why do people believe COVID-19 conspiracy theories? The Harvard Kennedy School (HKS) Misinformation Review https://doi.org/10.37016/mr-2020-015 (2020).Uscinski, J. E., Klofstad, C. & Atkinson, M. D. 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