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1.
Arzu Karakulak; Beyza Tepe; Radosveta Dimitrova; Mohamed Abdelrahman; Plamen Akaliyski; Rana Rana Alaseel; Yousuf Alkamali; Azzam Amin; Andrii Andres; John Aruta; Hrant Avanesyan; Norzihan Ayub; Maria Bacikova-Sleskova; Raushan Baikanova; Batoul Bakkar; Sunčica Bartoluci; David Benitez; Ivanna Bodnar; Aidos Bolatov; Judyta Borchet; Ksenija Bosnar; Yunier Broche-Pérez; Carmen Buzea; Rosalinda Cassibba; Bin-Bin Chen; Dương Công Doanh; Alejandra Domínguez-Espinosa; Nelli Ferenczi; Regina Fernández-Morales; Jorge Gaete; Yiqun Gan; Wassim Gharz Edine; Suely Giolo; Rubia Carla Giordani; Maria-Therese Friehs; Shahar Gindi; Biljana Gjoneska; Juan Godoy; Maria del Pilar Grazioso; Camellia Hancheva; Given Hapunda; Shogo Hihara; Mohd. Husain; Md. Islam; Anna Janovská; Nino Javakhishvili; Veljko Jovanović; Russell Kabir; Nor Ba’yah Abdul Kadir; Johannes Karl; Darko Katović; Zhumaly Kauyzbay; Tinka Kawashima; Maria Kazmierczak; Richa Khanna; Meetu Khosla; Martina Klicperová; Ana Kozina; Steven Krauss; Rodrigo Landabur; Katharina Lefringhausen; Aleksandra Lewandowska-Walter; Yun-Hsia Liang; Danny Lizarzaburu Aguinaga; Ana Makashvili; Sadia Malik; Marta de la C. Martín-Carbonell; Denisse Manrique-Millones; Stefanos Mastrotheodoros; Breeda McGrath; Enkeleint Mechili; Marinés Mejía; Samson Mhizha; Justyna Michalek-Kwiecien; Diana Miconi; Fatema Mohsen; Rodrigo Moreta-Herrera; Camila Muhl; Mriya Muradyan; Pasquale Musso; Andrej Naterer; Arash Nemat; Félix Neto; Joana Neto; Luz Alonso Palacio; Hassan Okati; Carlos Orellana; Ligia Orellana; Sushanta Mishra; Joonha Park; Iuliia Pavlova; Eddy Peralta; Petro Petrytsa; Saša Pišot; Franjo Prot; José Rasia; Gordana Ristevska-Dimitrovska; Rita Rivera; Benedicta Riyanti; Adil Samekin; Telman Seisembekov; Danielius Serapinas; Fabiola Silletti; Prerna Sharma; Shanu Shukla; Katarzyna Skrzypińska; Iva Poláčková Šolcová; Olga Solomontos-Kountouri; Adrian Stanciu; Delia Stefenel; Lorena Cecilia López Steinmetz; Maria Stoginani; Jaimee Stuart; Laura Sudarnoto; Kazumi Sugimura; Mst. Sultana; Angela Suryani; Ergyul Tair; Lucy Tavitian-Elmadjan; Luciana Thome; Fitim Uka; Rasa Pilkauskaitė Valickienė; Brett Walter; Guilherme Wendt; Pei-Jung Yang; Ebrar Yıldırım; Yue Yu; Maria Angela Yunes; Milene Zanoni da Silva.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-2412449.v1

ABSTRACT

The current study investigated the motives that underlie support for COVID-19 preventive behaviorsin a large, cross-cultural 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 behaviors would be moderated by the individual-level and country-level trust in the government. Results suggest that the association between fear of disease and support for COVID-19 preventive behaviors 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 was high, but this moderation was only found at individual-level scores of governmental trust. We discuss how both fear and empathy motivations to support preventive COVID-19 behaviors may be shaped by socio-cultural context, and outline how the present findings may contribute to a better understanding of collective action during global crises.


Subject(s)
COVID-19 , Cognition Disorders
2.
psyarxiv; 2021.
Preprint in English | PREPRINT-PSYARXIV | ID: ppzbmed-10.31234.osf.io.b8mg3

ABSTRACT

Several governments have implemented strict measures in order to reduce the spread of COVID-19, such as lockdown measures. However, these measures have brought negative consequences at an individual level by increasing the psychological distress already exacerbated by the pandemic. In the present study, we evaluated the role of cognitive emotion regulation strategies and variables related to social support, hobbies, seeking information related to COVID-19, perceived risk of infection, and age on the levels of anxiety and depression during the lockdown in a sample of 663 Spanish-speaking adults. By using multiple regression analyses with a backward model selection procedure, 26% of the variance in anxiety was predicted by specific cognitive emotion regulation strategies, perceived risk of infection, number of hobbies, and seeking information about COVID-19. A similar procedure was used to build a model predicting depression. The resulting model predicted 38% of the variance in depression, and included specific emotion regulation strategies and age. Significant differences were found in the use of emotion regulation strategies and the experience of anxiety and depression between men and women, with women experiencing higher levels of both anxiety and depression. Based on our results, recommendations are provided for improving coping with stressful events where lockdown measures are taken.


Subject(s)
COVID-19 , Anxiety Disorders
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