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

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.

The relationship between the perception of major life events and depression: A systematic scoping review and meta-analysis.

BACKGROUND: Major life events can lead to depression in adulthood. However, as predicted by several depression theories, not only the mere occurrence of major life events but also the way people perceive them determines the onset of a depression. METHODS: Based on a systematic literature search, we identified 276 studies (Ntotal = 89,600) that examined the relationship between the perception of major life events and depression. We provide an overview of how this relationship has been examined. Furthermore, we meta-analytically integrated 420 effect sizes (172 studies) on the association between the perception of major life events and depression. RESULTS: Most studies relied on college student samples, were cross-sectional, and were conducted in the United States. A more negative perception of events was significantly associated with higher levels of depressive symptoms (r = 0.28). This association was robust across several design and sample characteristics. Furthermore, the perception of major life events and depression were also longitudinally associated with each other (event perception predicting later depressive symptoms: r = 0.26; depressive symptoms predicting later event perception: r = 0.17). LIMITATIONS: Longitudinal research on the relationship between depression and the perception of major life events was relatively rare impairing definite conclusions on whether the perception of life events can predict changes in depressive symptoms over time. CONCLUSION: The perception of major life events is related to depression. However, further longitudinal research considering a range of different perceived event characteristics and using non-Western heterogeneous samples is needed to better understand their relationship.

Stability and change of perceived characteristics of major life events.

The occurrence of major life events is associated with changes in well-being and personality. To better understand these effects, it is important to consider how individuals perceive major life events. Although theories such as appraisal theory and affective adaptation theory suggest that event perceptions change over time and that these changes are relevant for personality and well-being, stability and change of perceived event characteristics have not been systematically examined. This article aims to fill this gap using data from a longitudinal study (N = 619 at T1). In this study, participants rated nine perceived characteristics of the same major life event up to five times within 1 year. We estimated rank-order and mean-level stabilities as well as intraclass correlations of these life event characteristics with continuous time models. Furthermore, we computed continuous time models for the stability of affective well-being and the Big Five personality traits to generate benchmarks for the interpretation of the stability of the life event characteristics. Rank-order stabilities for the life event characteristics were lower than for the Big Five, but higher than for affective well-being. Most of the variance in life event characteristics was explained by between-person differences. Furthermore, we found a significant mean-level increase for the life event characteristic change in world views and a significant decrease for extraordinariness. These mean-level changes are in line with the meaning-making literature and affective adaptation theory, whereas the rather high rank-order stability of the life event characteristics challenges the importance of reappraisal processes of major life events. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Who does or does not use the 'Corona-Warn-App' and why?

To slow the spread of SARS-CoV-2, the German government released the 'Corona-Warn-App', a smartphone application that warns users if they have come into contact with other users tested positive for SARS-CoV-2. Since using the 'Corona-Warn-App' is health-relevant behavior, it is essential to understand who is (and who is not) using it and why. In N = 1972 German adults, we found that non-users were on average older, female, healthier, in training and had low general trust in others. The most frequently named reasons by non-users were privacy concerns, doubts about the effectiveness of the app and lack of technical equipment.

Changes in daily loneliness for German residents during the first four weeks of the COVID-19 pandemic.

RATIONALE: The coronavirus disease 2019 (COVID-19) outbreak has dramatically altered people's social lives due to social restriction measures taken to control the coronavirus spread. Early on, increased loneliness has been publicly discussed as a harmful psychological side effect of these measures. Due to the serious adverse health consequences of loneliness, it is essential to take these concerns seriously and investigate them systematically to allow for evidence-based decision making. Thus far, however, high-resolution empirical evidence of such harmful side effects is rare. METHODS: The present preregistered large-scale daily diary study assessed daily loneliness in 4,844 German adults between March 16 and April 12, 2020. RESULTS AND CONCLUSION: Daily loneliness slightly increased during the first two weeks since implementing the pandemic-related measures and slightly decreased thereafter. With increasing age, daily loneliness increased more strongly over the four weeks. Moreover, daily loneliness increased more strongly for parents compared to people without children. Thus, despite some increases in loneliness in some individuals, there was no linear increase in loneliness in response to the first pandemic-related measures in the present sample.