Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries
- Autores
- Pagliaro, Stefano; Sacchi, Simona; Pacilli, Maria Giuseppina; Brambilla, Marco; Lionetti, Francesca; Bettache, Karim; Bianchi, Mauro; Biella, Marco; Bonnot, Virginie; Boza, Mihaela; Butera, Fabrizio; Batur, Suzan Ceylan; Chong, Kristy; Chopova, Tatiana; Crimston, Charlie R.; Alvarez, Belen; Cuadrado, Isabel; Ellemers, Naomi; Formanowicz, Magdalena; Graupmann, Verena; Gkinopoulos, Theofilos; Jeong, Evelyn Hye Kyung; Lahti, Inga Jasinskaja; Jetten, Jolanda; Bin, Kabir Muhib; Mao, Yanhui; McCoy, Christine; Mehnaz, Farah; Minescu, Anca; Sirlopu, David; Simic, Andrej; Travaglino, Giovanni; Uskul, Ayse K.; Zanetti, Cinzia; Zinn, Anna; Zubieta, Elena Mercedes
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The worldwide spread of a new coronavirus (SARS-CoV-2) since December 2019 has posed a severe threat to individuals well-being. While the world at large is waiting that the released vaccines immunize most citizens, public health experts suggest that, in the meantime, it is only through behavior change that the spread of COVID-19 can be controlled. Importantly, the required behaviors are aimed not only at safeguarding one s own health. Instead, individuals are asked to adapt their behaviors to protect the community at large. This raises the question of which social concerns and moral principles make people willing to do so. We considered in 23 countries (N = 6948) individuals willingness to engage in prescribed and discretionary behaviors, as well as country-level and individual-level factors that might drive such behavioral intentions. Results from multilevel multiple regressions, with country as the nesting variable, showed that publicized number of infections were not significantly related to individual intentions to comply with the prescribed measures and intentions to engage in discretionary prosocial behaviors. Instead, psychological differences in terms of trust in government, citizens, and in particular toward science predicted individuals behavioral intentions across countries. The more people endorsed moral principles of fairness and care (vs. loyalty and authority), the more they were inclined to report trust in science, which, in turn, statistically predicted prescribed and discretionary behavioral intentions. Results have implications for the type of intervention and public communication strategies that should be most effective to induce the behavioral changes that are needed to control the COVID-19 outbreak.
Fil: Pagliaro, Stefano. Universidad de Chieti Pescara; Italia
Fil: Sacchi, Simona. University of Milano Bicocca; Italia
Fil: Pacilli, Maria Giuseppina. Università di Perugia; Italia
Fil: Brambilla, Marco. Università degli Studi di Milano; Italia
Fil: Lionetti, Francesca. Universidad de Chieti Pescara; Italia
Fil: Bettache, Karim. Monash University; Australia
Fil: Bianchi, Mauro. Universidade Lusófona; Portugal
Fil: Biella, Marco. Eberhard Karls Universitat Tubingen; Alemania
Fil: Bonnot, Virginie. Universite de Paris; Francia
Fil: Boza, Mihaela. University Alexandru Ioan Cuza; Rumania
Fil: Butera, Fabrizio. Universite de Lausanne; Suiza
Fil: Batur, Suzan Ceylan. University of Economics and Technology; Turquía
Fil: Chong, Kristy. Monash University; Australia
Fil: Chopova, Tatiana. Utrecht University; Países Bajos
Fil: Crimston, Charlie R.. University of Queensland; Australia
Fil: Alvarez, Belen. University of Queensland; Australia
Fil: Cuadrado, Isabel. Universidad de Almería; España
Fil: Ellemers, Naomi. University of Utrecht; Países Bajos
Fil: Formanowicz, Magdalena. University Social Sciences and Humanities; Polonia. Nicolaus Copernicus University; Polonia
Fil: Graupmann, Verena. DePaul University; Estados Unidos
Fil: Gkinopoulos, Theofilos. University of Greenwich; Reino Unido
Fil: Jeong, Evelyn Hye Kyung. University of Limerick; Irlanda
Fil: Lahti, Inga Jasinskaja. University of Helsinki; Finlandia
Fil: Jetten, Jolanda. University of Queensland; Australia
Fil: Bin, Kabir Muhib. University of Limerick; Irlanda
Fil: Mao, Yanhui. Southwest Jiaotong University; China
Fil: McCoy, Christine. The University of Queensland; Australia
Fil: Mehnaz, Farah. University of Limerick; Irlanda
Fil: Minescu, Anca. University of Limerick; Irlanda
Fil: Sirlopu, David. Universidad del Desarrollo; Chile
Fil: Simic, Andrej. Università degli Studi di Milano; Italia
Fil: Travaglino, Giovanni. University Of Kent; Reino Unido. Chinese University Of Hong Kong; Hong Kong
Fil: Uskul, Ayse K.. University Of Kent; Reino Unido
Fil: Zanetti, Cinzia. Universite de Lausanne; Suiza
Fil: Zinn, Anna. University of Exeter; Reino Unido
Fil: Zubieta, Elena Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Psicología; Argentina - Materia
-
SARS-CoV-2
WELL-BEING
DISCRETIONARY BEHAVIORAL INTENTIONS
COVID-19 - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/138493
Ver los metadatos del registro completo
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Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countriesPagliaro, StefanoSacchi, SimonaPacilli, Maria GiuseppinaBrambilla, MarcoLionetti, FrancescaBettache, KarimBianchi, MauroBiella, MarcoBonnot, VirginieBoza, MihaelaButera, FabrizioBatur, Suzan CeylanChong, KristyChopova, TatianaCrimston, Charlie R.Alvarez, BelenCuadrado, IsabelEllemers, NaomiFormanowicz, MagdalenaGraupmann, VerenaGkinopoulos, TheofilosJeong, Evelyn Hye KyungLahti, Inga JasinskajaJetten, JolandaBin, Kabir MuhibMao, YanhuiMcCoy, ChristineMehnaz, FarahMinescu, AncaSirlopu, DavidSimic, AndrejTravaglino, GiovanniUskul, Ayse K.Zanetti, CinziaZinn, AnnaZubieta, Elena MercedesSARS-CoV-2WELL-BEINGDISCRETIONARY BEHAVIORAL INTENTIONSCOVID-19https://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5The worldwide spread of a new coronavirus (SARS-CoV-2) since December 2019 has posed a severe threat to individuals well-being. While the world at large is waiting that the released vaccines immunize most citizens, public health experts suggest that, in the meantime, it is only through behavior change that the spread of COVID-19 can be controlled. Importantly, the required behaviors are aimed not only at safeguarding one s own health. Instead, individuals are asked to adapt their behaviors to protect the community at large. This raises the question of which social concerns and moral principles make people willing to do so. We considered in 23 countries (N = 6948) individuals willingness to engage in prescribed and discretionary behaviors, as well as country-level and individual-level factors that might drive such behavioral intentions. Results from multilevel multiple regressions, with country as the nesting variable, showed that publicized number of infections were not significantly related to individual intentions to comply with the prescribed measures and intentions to engage in discretionary prosocial behaviors. Instead, psychological differences in terms of trust in government, citizens, and in particular toward science predicted individuals behavioral intentions across countries. The more people endorsed moral principles of fairness and care (vs. loyalty and authority), the more they were inclined to report trust in science, which, in turn, statistically predicted prescribed and discretionary behavioral intentions. Results have implications for the type of intervention and public communication strategies that should be most effective to induce the behavioral changes that are needed to control the COVID-19 outbreak.Fil: Pagliaro, Stefano. Universidad de Chieti Pescara; ItaliaFil: Sacchi, Simona. University of Milano Bicocca; ItaliaFil: Pacilli, Maria Giuseppina. Università di Perugia; ItaliaFil: Brambilla, Marco. Università degli Studi di Milano; ItaliaFil: Lionetti, Francesca. Universidad de Chieti Pescara; ItaliaFil: Bettache, Karim. Monash University; AustraliaFil: Bianchi, Mauro. Universidade Lusófona; PortugalFil: Biella, Marco. Eberhard Karls Universitat Tubingen; AlemaniaFil: Bonnot, Virginie. Universite de Paris; FranciaFil: Boza, Mihaela. University Alexandru Ioan Cuza; RumaniaFil: Butera, Fabrizio. Universite de Lausanne; SuizaFil: Batur, Suzan Ceylan. University of Economics and Technology; TurquíaFil: Chong, Kristy. Monash University; AustraliaFil: Chopova, Tatiana. Utrecht University; Países BajosFil: Crimston, Charlie R.. University of Queensland; AustraliaFil: Alvarez, Belen. University of Queensland; AustraliaFil: Cuadrado, Isabel. Universidad de Almería; EspañaFil: Ellemers, Naomi. University of Utrecht; Países BajosFil: Formanowicz, Magdalena. University Social Sciences and Humanities; Polonia. Nicolaus Copernicus University; PoloniaFil: Graupmann, Verena. DePaul University; Estados UnidosFil: Gkinopoulos, Theofilos. University of Greenwich; Reino UnidoFil: Jeong, Evelyn Hye Kyung. University of Limerick; IrlandaFil: Lahti, Inga Jasinskaja. University of Helsinki; FinlandiaFil: Jetten, Jolanda. University of Queensland; AustraliaFil: Bin, Kabir Muhib. University of Limerick; IrlandaFil: Mao, Yanhui. Southwest Jiaotong University; ChinaFil: McCoy, Christine. The University of Queensland; AustraliaFil: Mehnaz, Farah. University of Limerick; IrlandaFil: Minescu, Anca. University of Limerick; IrlandaFil: Sirlopu, David. Universidad del Desarrollo; ChileFil: Simic, Andrej. Università degli Studi di Milano; ItaliaFil: Travaglino, Giovanni. University Of Kent; Reino Unido. Chinese University Of Hong Kong; Hong KongFil: Uskul, Ayse K.. University Of Kent; Reino UnidoFil: Zanetti, Cinzia. Universite de Lausanne; SuizaFil: Zinn, Anna. University of Exeter; Reino UnidoFil: Zubieta, Elena Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Psicología; ArgentinaPublic Library of Science2021-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/138493Pagliaro, Stefano; Sacchi, Simona; Pacilli, Maria Giuseppina; Brambilla, Marco; Lionetti, Francesca; et al.; Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries; Public Library of Science; Plos One; 16; 3; 3-2021; 1-161932-6203CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0248334info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0248334info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:16:39Zoai:ri.conicet.gov.ar:11336/138493instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:16:40.194CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries |
| title |
Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries |
| spellingShingle |
Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries Pagliaro, Stefano SARS-CoV-2 WELL-BEING DISCRETIONARY BEHAVIORAL INTENTIONS COVID-19 |
| title_short |
Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries |
| title_full |
Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries |
| title_fullStr |
Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries |
| title_full_unstemmed |
Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries |
| title_sort |
Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries |
| dc.creator.none.fl_str_mv |
Pagliaro, Stefano Sacchi, Simona Pacilli, Maria Giuseppina Brambilla, Marco Lionetti, Francesca Bettache, Karim Bianchi, Mauro Biella, Marco Bonnot, Virginie Boza, Mihaela Butera, Fabrizio Batur, Suzan Ceylan Chong, Kristy Chopova, Tatiana Crimston, Charlie R. Alvarez, Belen Cuadrado, Isabel Ellemers, Naomi Formanowicz, Magdalena Graupmann, Verena Gkinopoulos, Theofilos Jeong, Evelyn Hye Kyung Lahti, Inga Jasinskaja Jetten, Jolanda Bin, Kabir Muhib Mao, Yanhui McCoy, Christine Mehnaz, Farah Minescu, Anca Sirlopu, David Simic, Andrej Travaglino, Giovanni Uskul, Ayse K. Zanetti, Cinzia Zinn, Anna Zubieta, Elena Mercedes |
| author |
Pagliaro, Stefano |
| author_facet |
Pagliaro, Stefano Sacchi, Simona Pacilli, Maria Giuseppina Brambilla, Marco Lionetti, Francesca Bettache, Karim Bianchi, Mauro Biella, Marco Bonnot, Virginie Boza, Mihaela Butera, Fabrizio Batur, Suzan Ceylan Chong, Kristy Chopova, Tatiana Crimston, Charlie R. Alvarez, Belen Cuadrado, Isabel Ellemers, Naomi Formanowicz, Magdalena Graupmann, Verena Gkinopoulos, Theofilos Jeong, Evelyn Hye Kyung Lahti, Inga Jasinskaja Jetten, Jolanda Bin, Kabir Muhib Mao, Yanhui McCoy, Christine Mehnaz, Farah Minescu, Anca Sirlopu, David Simic, Andrej Travaglino, Giovanni Uskul, Ayse K. Zanetti, Cinzia Zinn, Anna Zubieta, Elena Mercedes |
| author_role |
author |
| author2 |
Sacchi, Simona Pacilli, Maria Giuseppina Brambilla, Marco Lionetti, Francesca Bettache, Karim Bianchi, Mauro Biella, Marco Bonnot, Virginie Boza, Mihaela Butera, Fabrizio Batur, Suzan Ceylan Chong, Kristy Chopova, Tatiana Crimston, Charlie R. Alvarez, Belen Cuadrado, Isabel Ellemers, Naomi Formanowicz, Magdalena Graupmann, Verena Gkinopoulos, Theofilos Jeong, Evelyn Hye Kyung Lahti, Inga Jasinskaja Jetten, Jolanda Bin, Kabir Muhib Mao, Yanhui McCoy, Christine Mehnaz, Farah Minescu, Anca Sirlopu, David Simic, Andrej Travaglino, Giovanni Uskul, Ayse K. Zanetti, Cinzia Zinn, Anna Zubieta, Elena Mercedes |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
SARS-CoV-2 WELL-BEING DISCRETIONARY BEHAVIORAL INTENTIONS COVID-19 |
| topic |
SARS-CoV-2 WELL-BEING DISCRETIONARY BEHAVIORAL INTENTIONS COVID-19 |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/5.1 https://purl.org/becyt/ford/5 |
| dc.description.none.fl_txt_mv |
The worldwide spread of a new coronavirus (SARS-CoV-2) since December 2019 has posed a severe threat to individuals well-being. While the world at large is waiting that the released vaccines immunize most citizens, public health experts suggest that, in the meantime, it is only through behavior change that the spread of COVID-19 can be controlled. Importantly, the required behaviors are aimed not only at safeguarding one s own health. Instead, individuals are asked to adapt their behaviors to protect the community at large. This raises the question of which social concerns and moral principles make people willing to do so. We considered in 23 countries (N = 6948) individuals willingness to engage in prescribed and discretionary behaviors, as well as country-level and individual-level factors that might drive such behavioral intentions. Results from multilevel multiple regressions, with country as the nesting variable, showed that publicized number of infections were not significantly related to individual intentions to comply with the prescribed measures and intentions to engage in discretionary prosocial behaviors. Instead, psychological differences in terms of trust in government, citizens, and in particular toward science predicted individuals behavioral intentions across countries. The more people endorsed moral principles of fairness and care (vs. loyalty and authority), the more they were inclined to report trust in science, which, in turn, statistically predicted prescribed and discretionary behavioral intentions. Results have implications for the type of intervention and public communication strategies that should be most effective to induce the behavioral changes that are needed to control the COVID-19 outbreak. Fil: Pagliaro, Stefano. Universidad de Chieti Pescara; Italia Fil: Sacchi, Simona. University of Milano Bicocca; Italia Fil: Pacilli, Maria Giuseppina. Università di Perugia; Italia Fil: Brambilla, Marco. Università degli Studi di Milano; Italia Fil: Lionetti, Francesca. Universidad de Chieti Pescara; Italia Fil: Bettache, Karim. Monash University; Australia Fil: Bianchi, Mauro. Universidade Lusófona; Portugal Fil: Biella, Marco. Eberhard Karls Universitat Tubingen; Alemania Fil: Bonnot, Virginie. Universite de Paris; Francia Fil: Boza, Mihaela. University Alexandru Ioan Cuza; Rumania Fil: Butera, Fabrizio. Universite de Lausanne; Suiza Fil: Batur, Suzan Ceylan. University of Economics and Technology; Turquía Fil: Chong, Kristy. Monash University; Australia Fil: Chopova, Tatiana. Utrecht University; Países Bajos Fil: Crimston, Charlie R.. University of Queensland; Australia Fil: Alvarez, Belen. University of Queensland; Australia Fil: Cuadrado, Isabel. Universidad de Almería; España Fil: Ellemers, Naomi. University of Utrecht; Países Bajos Fil: Formanowicz, Magdalena. University Social Sciences and Humanities; Polonia. Nicolaus Copernicus University; Polonia Fil: Graupmann, Verena. DePaul University; Estados Unidos Fil: Gkinopoulos, Theofilos. University of Greenwich; Reino Unido Fil: Jeong, Evelyn Hye Kyung. University of Limerick; Irlanda Fil: Lahti, Inga Jasinskaja. University of Helsinki; Finlandia Fil: Jetten, Jolanda. University of Queensland; Australia Fil: Bin, Kabir Muhib. University of Limerick; Irlanda Fil: Mao, Yanhui. Southwest Jiaotong University; China Fil: McCoy, Christine. The University of Queensland; Australia Fil: Mehnaz, Farah. University of Limerick; Irlanda Fil: Minescu, Anca. University of Limerick; Irlanda Fil: Sirlopu, David. Universidad del Desarrollo; Chile Fil: Simic, Andrej. Università degli Studi di Milano; Italia Fil: Travaglino, Giovanni. University Of Kent; Reino Unido. Chinese University Of Hong Kong; Hong Kong Fil: Uskul, Ayse K.. University Of Kent; Reino Unido Fil: Zanetti, Cinzia. Universite de Lausanne; Suiza Fil: Zinn, Anna. University of Exeter; Reino Unido Fil: Zubieta, Elena Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Psicología; Argentina |
| description |
The worldwide spread of a new coronavirus (SARS-CoV-2) since December 2019 has posed a severe threat to individuals well-being. While the world at large is waiting that the released vaccines immunize most citizens, public health experts suggest that, in the meantime, it is only through behavior change that the spread of COVID-19 can be controlled. Importantly, the required behaviors are aimed not only at safeguarding one s own health. Instead, individuals are asked to adapt their behaviors to protect the community at large. This raises the question of which social concerns and moral principles make people willing to do so. We considered in 23 countries (N = 6948) individuals willingness to engage in prescribed and discretionary behaviors, as well as country-level and individual-level factors that might drive such behavioral intentions. Results from multilevel multiple regressions, with country as the nesting variable, showed that publicized number of infections were not significantly related to individual intentions to comply with the prescribed measures and intentions to engage in discretionary prosocial behaviors. Instead, psychological differences in terms of trust in government, citizens, and in particular toward science predicted individuals behavioral intentions across countries. The more people endorsed moral principles of fairness and care (vs. loyalty and authority), the more they were inclined to report trust in science, which, in turn, statistically predicted prescribed and discretionary behavioral intentions. Results have implications for the type of intervention and public communication strategies that should be most effective to induce the behavioral changes that are needed to control the COVID-19 outbreak. |
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2021 |
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2021-03 |
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http://hdl.handle.net/11336/138493 Pagliaro, Stefano; Sacchi, Simona; Pacilli, Maria Giuseppina; Brambilla, Marco; Lionetti, Francesca; et al.; Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries; Public Library of Science; Plos One; 16; 3; 3-2021; 1-16 1932-6203 CONICET Digital CONICET |
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http://hdl.handle.net/11336/138493 |
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Pagliaro, Stefano; Sacchi, Simona; Pacilli, Maria Giuseppina; Brambilla, Marco; Lionetti, Francesca; et al.; Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries; Public Library of Science; Plos One; 16; 3; 3-2021; 1-16 1932-6203 CONICET Digital CONICET |
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