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

Birga M. Schumpe; Caspar J. Van Lissa; Jocelyn J. Belanger; Kai Ruggeri; Jochen Mierau; Claudia F. Nisa; Erica Molinario; Michele J. Gelfand; Wolfgang Stroebe; Maximilian Agostini; Ben Gutzkow; Bertus F. Jeronimus; Jannis Kreienkamp; Maja Kutlaca; Edward P. Lemay; Anne Margit Reitsema; Michelle R. VanDellen; Georgios Abakoumkin; Jamilah Hanum Abdul Khaiyom; Vjollca Ahmedi; Handan Akkas; Carlos A. Almenara; Mohsin Atta; Sabahat Cigdem Bagci; Sima Basel; Edona Berisha Kida; Allan B. Bernardo; Nicholas R. Buttrick; Phatthanakit Chobthamkit; Hoon-Seok Choi; Mioara Cristea; Sara Csaba; Kaja Damnjanovic; Ivan Danyliuk; Arobindu Dash; Daniela Di Santo; Karen M. Douglas; Violeta Enea; Daiane Faller; Gavan J. Fitzsimons; Alexandra Gheorghiu; Angel Gomez; Ali Hamaidia; Qing Han; Mai Helmy; Joevarian Hudiyana; Ding-Yu Jiang; Veljko Jovanovic; Zeljka Kamenov; Anna Kende; Shian-Ling Keng; Tra Thi Thanh Kieu; Yasin Koc; Kamila Kovyazina; Inna Kozytska; Joshua Krause; Arie W. Kruglanski; Anton Kurapov; Nora Anna Lantos; Cokorda Bagus J. Lesmana; Winnifred R. Louis; Adrian Lueders; Najma Iqbal Malik; Anton P. Martinez; Kira O. McCabe; Jasmina Mehulic; Mirra Noor Milla; Idris Mohammed; Manuel Moyano; Hayat Muhammad; Silvana Mula; Hamdi Muluk; Solomiia Myroniuk; Reza Najafi; Boglarka Nyul; 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 A. van Breen; Kees Van Veen; Alexandra Vazquez; Robin Wollast; Victoria Wai-Lan Yeung; Somayeh Zand; Iris Lav Zezelj; Bang Zheng; Andreas Zick; Claudia Zuniga; 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. Belanger, Kai Ruggeri, Jochen Mierau, Claudia F. Nisa, Erica Molinario, Michele J. Gelfand, Wolfgang Stroebe, Maximilian Agostini, Ben Gutzkow, Bertus F. Jeronimus, Jannis Kreienkamp, Maja Kutlaca, Edward P. Lemay, Anne Margit Reitsema, Michelle R. VanDellen, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjollca AhmediHandan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sara Csaba, Kaja Damnjanovic, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M. Douglas, Violeta Enea, Daiane Faller, Gavan J. Fitzsimons, Alexandra Gheorghiu, Angel Gomez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Ding-Yu Jiang, Veljko Jovanovic, Zeljka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanski, Anton Kurapov, Nora Anna Lantos, Cokorda Bagus J. Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton P. Martinez, Kira O. McCabe, Jasmina Mehulic, Mirra Noor Milla, Idris Mohammed, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Boglarka Nyul, 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 A. van Breen, Kees Van Veen, Alexandra Vazquez, Robin Wollast, Victoria Wai-Lan Yeung, Somayeh Zand, Iris Lav Zezelj, Bang Zheng, Andreas Zick, Claudia Zuniga, N. Pontus Leander

^*Corresponding author for this work

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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 - 2022

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Schumpe, B. M., Van Lissa, C. J., Belanger, J. J., Ruggeri, K., Mierau, J., Nisa, C. F., Molinario, E., Gelfand, M. J., Stroebe, W., Agostini, M., Gutzkow, 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

@article{d572101f395f406c9e5117dfa833112a,

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.",

author = "Schumpe, {Birga M.} and {Van Lissa}, {Caspar J.} and Belanger, {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 Gutzkow and Jeronimus, {Bertus F.} and Jannis Kreienkamp and Maja Kutlaca and Lemay, {Edward P.} and Reitsema, {Anne Margit} and VanDellen, {Michelle R.} and Georgios Abakoumkin and Khaiyom, {Jamilah Hanum Abdul} and Vjollca 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.} and Buttrick, {Nicholas R.} and Phatthanakit Chobthamkit and Hoon-Seok Choi and Mioara Cristea and Sara Csaba and Kaja Damnjanovic and Ivan Danyliuk and Arobindu Dash and {Di Santo}, Daniela and Douglas, {Karen M.} and Violeta Enea and Daiane Faller and Fitzsimons, {Gavan J.} and Alexandra Gheorghiu and Angel Gomez and Ali Hamaidia and Qing Han and Mai Helmy and Joevarian Hudiyana and Ding-Yu Jiang and Veljko Jovanovic and Zeljka Kamenov and Anna Kende and Shian-Ling Keng and Kieu, {Tra Thi Thanh} and Yasin Koc and Kamila Kovyazina and Inna Kozytska and Joshua Krause and Kruglanski, {Arie W.} and Anton Kurapov and Lantos, {Nora Anna} and Lesmana, {Cokorda Bagus J.} and Louis, {Winnifred R.} and Adrian Lueders and Malik, {Najma Iqbal} and Martinez, {Anton P.} and McCabe, {Kira O.} and Jasmina Mehulic 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 Boglarka Nyul 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 A.} and {Van Veen}, Kees and Alexandra Vazquez and Robin Wollast and Yeung, {Victoria Wai-Lan} and Somayeh Zand and Zezelj, {Iris Lav} and Bang Zheng and Andreas Zick and Claudia Zuniga and Leander, {N. Pontus}",

year = "2022",

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, Belanger, JJ, Ruggeri, K, Mierau, J, Nisa, CF, Molinario, E, Gelfand, MJ, Stroebe, W, Agostini, M, Gutzkow, B, Jeronimus, BF, Kreienkamp, J, Kutlaca, M, Lemay, EP, Reitsema, AM, VanDellen, MR, Abakoumkin, G, Khaiyom, JHA, Ahmedi, V, Akkas, H, Almenara, CA, Atta, M, Bagci, SC, Basel, S, Kida, EB, Bernardo, AB, Buttrick, NR, Chobthamkit, P, Choi, H-S, Cristea, M, Csaba, S, Damnjanovic, K, Danyliuk, I, Dash, A, Di Santo, D, Douglas, KM, Enea, V, Faller, D, Fitzsimons, GJ, Gheorghiu, A, Gomez, A, Hamaidia, A, Han, Q, Helmy, M, Hudiyana, J, Jiang, D-Y, Jovanovic, V, Kamenov, Z, Kende, A, Keng, S-L, Kieu, TTT, Koc, 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, Mehulic, J, Milla, MN, Mohammed, I, Moyano, M, Muhammad, H, Mula, S, Muluk, H, Myroniuk, S, Najafi, R, Nyul, 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, Vazquez, A, Wollast, R, Yeung, VW-L, Zand, S, Zezelj, IL, Zheng, B, Zick, A, Zuniga, 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 - Belanger, 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 - Gutzkow, 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, Vjollca

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.

AU - Buttrick, Nicholas R.

AU - Chobthamkit, Phatthanakit

AU - Choi, Hoon-Seok

AU - Cristea, Mioara

AU - Csaba, Sara

AU - Damnjanovic, Kaja

AU - Danyliuk, Ivan

AU - Dash, Arobindu

AU - Di Santo, Daniela

AU - Douglas, Karen M.

AU - Enea, Violeta

AU - Faller, Daiane

AU - Fitzsimons, Gavan J.

AU - Gheorghiu, Alexandra

AU - Gomez, Angel

AU - Hamaidia, Ali

AU - Han, Qing

AU - Helmy, Mai

AU - Hudiyana, Joevarian

AU - Jiang, Ding-Yu

AU - Jovanovic, Veljko

AU - Kamenov, Zeljka

AU - Kende, Anna

AU - Keng, Shian-Ling

AU - Kieu, Tra Thi Thanh

AU - Koc, Yasin

AU - Kovyazina, Kamila

AU - Kozytska, Inna

AU - Krause, Joshua

AU - Kruglanski, Arie W.

AU - Kurapov, Anton

AU - Lantos, Nora Anna

AU - Lesmana, Cokorda Bagus J.

AU - Louis, Winnifred R.

AU - Lueders, Adrian

AU - Malik, Najma Iqbal

AU - Martinez, Anton P.

AU - McCabe, Kira O.

AU - Mehulic, 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 - Nyul, Boglarka

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 A.

AU - Van Veen, Kees

AU - Vazquez, Alexandra

AU - Wollast, Robin

AU - Yeung, Victoria Wai-Lan

AU - Zand, Somayeh

AU - Zezelj, Iris Lav

AU - Zheng, Bang

AU - Zick, Andreas

AU - Zuniga, Claudia

AU - Leander, N. Pontus

PY - 2022

Y1 - 2022

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.

UR - https://publons.com/wos-op/publon/51704662/

U2 - 10.1038/S41598-021-04703-9

DO - 10.1038/S41598-021-04703-9

M3 - Article

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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