Trust in government moderates the association between fear of COVID-19 as well as empathic concern and preventive behaviour

Karakulak, Arzu, Tepe, Beyza, Dimitrova, Radosveta, Abdelrahman, Mohamed, Akaliyski, Plamen, Stuart, Jaimee and et al, (2023). Trust in government moderates the association between fear of COVID-19 as well as empathic concern and preventive behaviour. Communications Psychology, 1(43), n/a-n/a

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  • Sub-type Journal article
    Author Karakulak, Arzu
    Tepe, Beyza
    Dimitrova, Radosveta
    Abdelrahman, Mohamed
    Akaliyski, Plamen
    Stuart, Jaimee
    et al
    Title Trust in government moderates the association between fear of COVID-19 as well as empathic concern and preventive behaviour
    Appearing in Communications Psychology
    Volume 1
    Issue No. 43
    Publication Date 2023-12
    Place of Publication Online
    Publisher Nature Publishing Group
    Start page n/a
    End page n/a
    Language eng
    Abstract With the COVID-19 pandemic, behavioural scientists aimed to illuminate reasons why people comply with (or not) large-scale cooperative activities. Here we investigated the motives that underlie support for COVID-19 preventive behaviours in a sample of 12,758 individuals from 34 countries. We hypothesized that the associations of empathic prosocial concern and fear of disease with support towards preventive COVID-19 behaviours would be moderated by trust in the government. Results suggest that the association between fear of disease and support for COVID-19 preventive behaviours was strongest when trust in the government was weak (both at individual- and country-level). Conversely, the association with empathic prosocial concern was strongest when trust in the government was high, but this moderation was only found at individual-level scores of governmental trust. We discuss how motivations may be shaped by socio-cultural context, and outline how findings may contribute to a better understanding of collective action during global crises.
    Copyright Holder The Author(s)
    Copyright Year 2023
    Copyright type Creative commons
    DOI 10.1038/s44271-023-00046-5
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    Created: Fri, 30 Aug 2024, 18:28:29 JST by Qian Dai on behalf of UNU CS