Associations between affective temperament, perceived stress, and helping among Ukrainians and Poles in the context of the war in Ukraine.
Published In: Applied Psychology: Health & Well-Being, 2024, v. 16, n. 3. P. 944 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Piskunowicz, Małgorzata Tatiana; Kołodziej, Kosma; Altukhova, Valeriia; Wojtasik, Jakub; Jaremko, Tatiana; Borkowska, Alina 3 of 3
Abstract
The Russian aggression of Ukraine has put millions of civilians under immense stress and forced many of them to leave their homes for safety and help. Poland became one of the leading destinations for waves of Ukrainians fleeing this war. The level of perceived stress in people who experienced war depends on various factors, including individual psychological variables. The main aim of this study was to analyze perceived stress levels and the predictive role of affective temperaments, as defined by Akiskal, for perceived stress in Ukrainians and Poles during the first year of the Russo‐Ukrainian war. Secondly, we studied the relationship between affective temperament, stress, and commitment to help Ukrainian refugees. Self‐report data from 410 Ukrainians and 146 Poles were collected. The results of this study shed light on perceived stress in war‐affected populations and the role of affective temperaments in predicting its levels. We also demonstrated the links between affective temperament, perceived stress, and involvement in helping Ukrainian refugees. Understanding the mental status of people affected by war and its predictors is crucial to providing appropriate support and assistance to those in need. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Applied Psychology: Health & Well-Being. 2024/08, Vol. 16, Issue 3, p944
- Document Type:Article
- Subject Area:Psychology
- Publication Date:2024
- ISSN:1758-0846
- DOI:10.1111/aphw.12487
- Accession Number:178946048
- Copyright Statement:Copyright of Applied Psychology: Health & Well-Being is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.