Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data

Birga M. Schumpe; Caspar J. van Lissa; Jocelyn J. Bélanger; Kai Ruggeri; Jochen Mierau; Claudia F. Nisa; Erica Molinario; Michele J. Gelfand; Wolfgang Stroebe; Maximilian Agostini; Ben Gützkow; Bertus F. Jeronimus; Jannis Kreienkamp; Maja Kutlaca; Edward P. Lemay; Anne-Margit Reitsema; Michelle R. vanDellen; Georgios Abakoumkin; Jamilah Hanum Abdul Khaiyom; Vjolica Ahmedi; Handan Akkas; Carlos A. Almenara; Mohsin Atta; Sabahat Cigdem Bagci; Sima Basel; Edona Berisha Kida; Allan B. I. Bernardo; Nicholas R. Buttrick; Phatthanakit Chobthamkit; Hoon-Seok Choi; Mioara Cristea; Sára Csaba; Kaja Damnjanović; Ivan Danyliuk; Arobindu Dash; Daniela Di Santo; Karen M. Douglas; Violeta Enea; Daiane Gracieli Faller; Gavan J. Fitzsimons; Alexandra Gheorghiu; Ángel Gómez; Ali Hamaidia; Qing Han; Mai Helmy; Joevarian Hudiyana; Ding-Yu Jiang; Veljko Jovanović; Željka Kamenov; Anna Kende; Shian-Ling Keng; Tra Thi Thanh Kieu; Yasin  Koç; Kamila Kovyazina; Inna Kozytska; Joshua Krause; Arie W. Kruglanski; Anton Kurapov; Nóra Anna Lantos; Cokorda Bagus Jaya Lesmana; Winnifred R. Louis; Adrian Lueders; Najma Iqbal Malik; Anton P. Martinez; Kira O. McCabe; Jasmina Mehulić; Mirra Noor Milla; Idris Mohammed; Manuel Moyano; Hayat Muhammad; Silvana Mula; Hamdi Muluk; Solomiia Myroniuk; Reza Najafi; Boglárka Nyúl; Paul A. O'Keefe; Jose Javier Olivas Osuna; Evgeny N. Osin; Joonha Park; Gennaro Pica; Antonio Pierro; Jonas H. Rees; Elena Resta; Marika Rullo; Michelle K. Ryan; Adil Samekin; Pekka Santtila; Edyta  Sasin; Heyla A. Selim; Michael Vicente Stanton; Samiah Sultana; Robbie M. Sutton; Eleftheria Tseliou; Akira Utsugi; Jolien Anne van Breen; Kees van Veen; Alexandra Vázquez; Robin Wollast; Victoria Wai-Lan Yeung; Somayeh Zand; Iris Lav Žeželj; Bang Zheng; Andreas Zick; Claudia Zúñiga; N. Pontus Leander

doi:10.1038/s41598-021-04703-9

Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data

Birga M. Schumpe, Caspar J. van Lissa, Jocelyn J. Bélanger, Kai Ruggeri, Jochen Mierau, Claudia F. Nisa, Erica Molinario, Michele J. Gelfand, Wolfgang Stroebe, Maximilian Agostini, Ben Gützkow, Bertus F. Jeronimus, Jannis Kreienkamp, Maja Kutlaca, Edward P. Lemay, Anne-Margit Reitsema, Michelle R. vanDellen, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjolica AhmediHandan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B. I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanović, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M. Douglas, Violeta Enea, Daiane Gracieli Faller, Gavan J. Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Ding-Yu Jiang, Veljko Jovanović, Željka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koç, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanski, Anton Kurapov, Nóra Anna Lantos, Cokorda Bagus Jaya Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton P. Martinez, Kira O. McCabe, Jasmina Mehulić, Mirra Noor Milla, Idris Mohammed, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Boglárka Nyúl, Paul A. O'Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas H. Rees, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta Sasin, Heyla A. Selim, Michael Vicente Stanton, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Kees van Veen, Alexandra Vázquez, Robin Wollast, Victoria Wai-Lan Yeung, Somayeh Zand, Iris Lav Žeželj, Bang Zheng, Andreas Zick, Claudia Zúñiga, N. Pontus Leander

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Abstract

The present paper examines longitudinally how subjective perceptions about COVID-19, one’s community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception. At social level, social distancing behaviors such as abstaining from face-to-face contact were predicted by perceived social norms. Support for behavioral mandates was predicted by confidence in the government and cultural tightness, whereas support for anti-lockdown protests was predicted by (lower) perceived clarity of communication about the virus. Results are discussed in light of policy implications and creating effective interventions.

Original language	English
Article number	3824
Journal	Scientific Reports
Volume	12
DOIs	https://doi.org/10.1038/s41598-021-04703-9
Publication status	Published - 9 Mar 2022

Keywords

Covid-19
Health behaviours
Political views

ASJC Scopus subject areas

General Psychology
Social Psychology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Schumpe, B. M., van Lissa, C. J., Bélanger, J. J., Ruggeri, K., Mierau, J., Nisa, C. F., Molinario, E., Gelfand, M. J., Stroebe, W., Agostini, M., Gützkow, B., Jeronimus, B. F., Kreienkamp, J., Kutlaca, M., Lemay, E. P., Reitsema, A.-M., vanDellen, M. R., Abakoumkin, G., Khaiyom, J. H. A., ... Leander, N. P. (2022). Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data. Scientific Reports, 12, Article 3824. https://doi.org/10.1038/s41598-021-04703-9

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title = "Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data",

abstract = "The present paper examines longitudinally how subjective perceptions about COVID-19, one{\textquoteright}s community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception. At social level, social distancing behaviors such as abstaining from face-to-face contact were predicted by perceived social norms. Support for behavioral mandates was predicted by confidence in the government and cultural tightness, whereas support for anti-lockdown protests was predicted by (lower) perceived clarity of communication about the virus. Results are discussed in light of policy implications and creating effective interventions.",

keywords = "Covid-19, Health behaviours, Political views",

author = "Schumpe, {Birga M.} and {van Lissa}, {Caspar J.} and B{\'e}langer, {Jocelyn J.} and Kai Ruggeri and Jochen Mierau and Nisa, {Claudia F.} and Erica Molinario and Gelfand, {Michele J.} and Wolfgang Stroebe and Maximilian Agostini and Ben G{\"u}tzkow and Jeronimus, {Bertus F.} and Jannis Kreienkamp and Maja Kutlaca and Lemay, {Edward P.} and Anne-Margit Reitsema and vanDellen, {Michelle R.} and Georgios Abakoumkin and Khaiyom, {Jamilah Hanum Abdul} and Vjolica Ahmedi and Handan Akkas and Almenara, {Carlos A.} and Mohsin Atta and Bagci, {Sabahat Cigdem} and Sima Basel and Kida, {Edona Berisha} and Bernardo, {Allan B. I.} and Buttrick, {Nicholas R.} and Phatthanakit Chobthamkit and Hoon-Seok Choi and Mioara Cristea and S{\'a}ra Csaba and Kaja Damnjanovi{\'c} and Ivan Danyliuk and Arobindu Dash and {Di Santo}, Daniela and Douglas, {Karen M.} and Violeta Enea and Faller, {Daiane Gracieli} and Fitzsimons, {Gavan J.} and Alexandra Gheorghiu and {\'A}ngel G{\'o}mez and Ali Hamaidia and Qing Han and Mai Helmy and Joevarian Hudiyana and Ding-Yu Jiang and Veljko Jovanovi{\'c} and {\v Z}eljka Kamenov and Anna Kende and Shian-Ling Keng and Kieu, {Tra Thi Thanh} and Yasin Ko{\c c} and Kamila Kovyazina and Inna Kozytska and Joshua Krause and Kruglanski, {Arie W.} and Anton Kurapov and Lantos, {N{\'o}ra Anna} and Lesmana, {Cokorda Bagus Jaya} and Louis, {Winnifred R.} and Adrian Lueders and Malik, {Najma Iqbal} and Martinez, {Anton P.} and McCabe, {Kira O.} and Jasmina Mehuli{\'c} and Milla, {Mirra Noor} and Idris Mohammed and Manuel Moyano and Hayat Muhammad and Silvana Mula and Hamdi Muluk and Solomiia Myroniuk and Reza Najafi and Bogl{\'a}rka Ny{\'u}l and O'Keefe, {Paul A.} and Osuna, {Jose Javier Olivas} and Osin, {Evgeny N.} and Joonha Park and Gennaro Pica and Antonio Pierro and Rees, {Jonas H.} and Elena Resta and Marika Rullo and Ryan, {Michelle K.} and Adil Samekin and Pekka Santtila and Edyta Sasin and Selim, {Heyla A.} and Stanton, {Michael Vicente} and Samiah Sultana and Sutton, {Robbie M.} and Eleftheria Tseliou and Akira Utsugi and {van Breen}, {Jolien Anne} and {van Veen}, Kees and Alexandra V{\'a}zquez and Robin Wollast and Yeung, {Victoria Wai-Lan} and Somayeh Zand and {\v Z}e{\v z}elj, {Iris Lav} and Bang Zheng and Andreas Zick and Claudia Z{\'u}{\~n}iga and Leander, {N. Pontus}",

note = "Funding Information: This research received support from the New York University Abu Dhabi (VCDSF/75-71015), the University of Groningen (Sustainable Society & Ubbo Emmius Fund), and the Instituto de Salud Carlos III (COV20/00086), co-funded by the European Regional Development Fund (ERDF) “A way to make Europe.” Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = mar,

day = "9",

doi = "10.1038/s41598-021-04703-9",

language = "English",

volume = "12",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Nature Publishing Group",

}

Schumpe, BM, van Lissa, CJ, Bélanger, JJ, Ruggeri, K, Mierau, J, Nisa, CF, Molinario, E, Gelfand, MJ, Stroebe, W, Agostini, M, Gützkow, B, Jeronimus, BF, Kreienkamp, J, Kutlaca, M, Lemay, EP, Reitsema, A-M, vanDellen, MR, Abakoumkin, G, Khaiyom, JHA, Ahmedi, V, Akkas, H, Almenara, CA, Atta, M, Bagci, SC, Basel, S, Kida, EB, Bernardo, ABI, Buttrick, NR, Chobthamkit, P, Choi, H-S, Cristea, M, Csaba, S, Damnjanović, K, Danyliuk, I, Dash, A, Di Santo, D, Douglas, KM, Enea, V, Faller, DG, Fitzsimons, GJ, Gheorghiu, A, Gómez, Á, Hamaidia, A, Han, Q, Helmy, M, Hudiyana, J, Jiang, D-Y, Jovanović, V, Kamenov, Ž, Kende, A, Keng, S-L, Kieu, TTT, Koç, Y, Kovyazina, K, Kozytska, I, Krause, J, Kruglanski, AW, Kurapov, A, Lantos, NA, Lesmana, CBJ, Louis, WR, Lueders, A, Malik, NI, Martinez, AP, McCabe, KO, Mehulić, J, Milla, MN, Mohammed, I, Moyano, M, Muhammad, H, Mula, S, Muluk, H, Myroniuk, S, Najafi, R, Nyúl, B, O'Keefe, PA, Osuna, JJO, Osin, EN, Park, J, Pica, G, Pierro, A, Rees, JH, Resta, E, Rullo, M, Ryan, MK, Samekin, A, Santtila, P, Sasin, E, Selim, HA, Stanton, MV, Sultana, S, Sutton, RM, Tseliou, E, Utsugi, A, van Breen, JA, van Veen, K, Vázquez, A, Wollast, R, Yeung, VW-L, Zand, S, Žeželj, IL, Zheng, B, Zick, A, Zúñiga, C & Leander, NP 2022, 'Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data', Scientific Reports, vol. 12, 3824. https://doi.org/10.1038/s41598-021-04703-9

TY - JOUR

T1 - Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data

AU - Schumpe, Birga M.

AU - van Lissa, Caspar J.

AU - Bélanger, Jocelyn J.

AU - Ruggeri, Kai

AU - Mierau, Jochen

AU - Nisa, Claudia F.

AU - Molinario, Erica

AU - Gelfand, Michele J.

AU - Stroebe, Wolfgang

AU - Agostini, Maximilian

AU - Gützkow, Ben

AU - Jeronimus, Bertus F.

AU - Kreienkamp, Jannis

AU - Kutlaca, Maja

AU - Lemay, Edward P.

AU - Reitsema, Anne-Margit

AU - vanDellen, Michelle R.

AU - Abakoumkin, Georgios

AU - Khaiyom, Jamilah Hanum Abdul

AU - Ahmedi, Vjolica

AU - Akkas, Handan

AU - Almenara, Carlos A.

AU - Atta, Mohsin

AU - Bagci, Sabahat Cigdem

AU - Basel, Sima

AU - Kida, Edona Berisha

AU - Bernardo, Allan B. I.

AU - Buttrick, Nicholas R.

AU - Chobthamkit, Phatthanakit

AU - Choi, Hoon-Seok

AU - Cristea, Mioara

AU - Csaba, Sára

AU - Damnjanović, Kaja

AU - Danyliuk, Ivan

AU - Dash, Arobindu

AU - Di Santo, Daniela

AU - Douglas, Karen M.

AU - Enea, Violeta

AU - Faller, Daiane Gracieli

AU - Fitzsimons, Gavan J.

AU - Gheorghiu, Alexandra

AU - Gómez, Ángel

AU - Hamaidia, Ali

AU - Han, Qing

AU - Helmy, Mai

AU - Hudiyana, Joevarian

AU - Jiang, Ding-Yu

AU - Jovanović, Veljko

AU - Kamenov, Željka

AU - Kende, Anna

AU - Keng, Shian-Ling

AU - Kieu, Tra Thi Thanh

AU - Koç, Yasin

AU - Kovyazina, Kamila

AU - Kozytska, Inna

AU - Krause, Joshua

AU - Kruglanski, Arie W.

AU - Kurapov, Anton

AU - Lantos, Nóra Anna

AU - Lesmana, Cokorda Bagus Jaya

AU - Louis, Winnifred R.

AU - Lueders, Adrian

AU - Malik, Najma Iqbal

AU - Martinez, Anton P.

AU - McCabe, Kira O.

AU - Mehulić, Jasmina

AU - Milla, Mirra Noor

AU - Mohammed, Idris

AU - Moyano, Manuel

AU - Muhammad, Hayat

AU - Mula, Silvana

AU - Muluk, Hamdi

AU - Myroniuk, Solomiia

AU - Najafi, Reza

AU - Nyúl, Boglárka

AU - O'Keefe, Paul A.

AU - Osuna, Jose Javier Olivas

AU - Osin, Evgeny N.

AU - Park, Joonha

AU - Pica, Gennaro

AU - Pierro, Antonio

AU - Rees, Jonas H.

AU - Resta, Elena

AU - Rullo, Marika

AU - Ryan, Michelle K.

AU - Samekin, Adil

AU - Santtila, Pekka

AU - Sasin, Edyta

AU - Selim, Heyla A.

AU - Stanton, Michael Vicente

AU - Sultana, Samiah

AU - Sutton, Robbie M.

AU - Tseliou, Eleftheria

AU - Utsugi, Akira

AU - van Breen, Jolien Anne

AU - van Veen, Kees

AU - Vázquez, Alexandra

AU - Wollast, Robin

AU - Yeung, Victoria Wai-Lan

AU - Zand, Somayeh

AU - Žeželj, Iris Lav

AU - Zheng, Bang

AU - Zick, Andreas

AU - Zúñiga, Claudia

AU - Leander, N. Pontus

N1 - Funding Information: This research received support from the New York University Abu Dhabi (VCDSF/75-71015), the University of Groningen (Sustainable Society & Ubbo Emmius Fund), and the Instituto de Salud Carlos III (COV20/00086), co-funded by the European Regional Development Fund (ERDF) “A way to make Europe.” Publisher Copyright: © 2022, The Author(s).

PY - 2022/3/9

Y1 - 2022/3/9

N2 - The present paper examines longitudinally how subjective perceptions about COVID-19, one’s community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception. At social level, social distancing behaviors such as abstaining from face-to-face contact were predicted by perceived social norms. Support for behavioral mandates was predicted by confidence in the government and cultural tightness, whereas support for anti-lockdown protests was predicted by (lower) perceived clarity of communication about the virus. Results are discussed in light of policy implications and creating effective interventions.

AB - The present paper examines longitudinally how subjective perceptions about COVID-19, one’s community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception. At social level, social distancing behaviors such as abstaining from face-to-face contact were predicted by perceived social norms. Support for behavioral mandates was predicted by confidence in the government and cultural tightness, whereas support for anti-lockdown protests was predicted by (lower) perceived clarity of communication about the virus. Results are discussed in light of policy implications and creating effective interventions.

KW - Covid-19

KW - Health behaviours

KW - Political views

UR - http://www.scopus.com/inward/record.url?scp=85126077662&partnerID=8YFLogxK

U2 - 10.1038/s41598-021-04703-9

DO - 10.1038/s41598-021-04703-9

M3 - Article

C2 - 35264597

SN - 2045-2322

VL - 12

JO - Scientific Reports

JF - Scientific Reports

M1 - 3824

ER -

Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data

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Keywords

ASJC Scopus subject areas

UN SDGs

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