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. 2024 Feb 20;15(1):1202.
doi: 10.1038/s41467-024-44693-6.

Psychological well-being in Europe after the outbreak of war in Ukraine

Affiliations

Psychological well-being in Europe after the outbreak of war in Ukraine

Julian Scharbert et al. Nat Commun. .

Abstract

The Russian invasion of Ukraine on February 24, 2022, has had devastating effects on the Ukrainian population and the global economy, environment, and political order. However, little is known about the psychological states surrounding the outbreak of war, particularly the mental well-being of individuals outside Ukraine. Here, we present a longitudinal experience-sampling study of a convenience sample from 17 European countries (total participants = 1,341, total assessments = 44,894, countries with >100 participants = 5) that allows us to track well-being levels across countries during the weeks surrounding the outbreak of war. Our data show a significant decline in well-being on the day of the Russian invasion. Recovery over the following weeks was associated with an individual's personality but was not statistically significantly associated with their age, gender, subjective social status, and political orientation. In general, well-being was lower on days when the war was more salient on social media. Our results demonstrate the need to consider the psychological implications of the Russo-Ukrainian war next to its humanitarian, economic, and ecological consequences.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Number of experience-sampling measurements in European countries between January 24 and March 27, 2022.
The number of measurements per country is indicated by the respective colour.
Fig. 2
Fig. 2. Illustration of the eight models representing different theoretically possible trajectories of well-being over time.
The x-axes represent time; the y-axes represent mean daily well-being. The vertical dashed lines represent the day of the Russian invasion. The statistical operationalization of each model is presented in Table 3. Model 2d is highlighted because it fit the data best and was thus used for interpretation.
Fig. 3
Fig. 3. Slopes of individual and mean well-being over time as predicted by Model 2d.
The solid blue line illustrates the predicted mean well-being trajectories. The thin gray lines represent the predicted well-being trajectories of 100 randomly chosen participants. The two dashed lines represent the predicted well-being trajectories of individuals with Stability scores of one standard deviation above (upper line; +1 SD) and below the mean (lower line, -1SD).
Fig. 4
Fig. 4. Major events of the Russo-Ukrainian war and corresponding well-being levels and Ukraine-related tweets.
The solid blue line illustrates the mean daily well-being scores across participants (standardized across state measurements) and corresponds to the scale on the left. The dashed green line illustrates the number of Ukraine-related tweets each day (standardized across days) and corresponds to the scale on the right. The vertical dashed lines mark a selection of psychologically relevant events during the investigation period.

References

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