Society-related Fears and Personal Mental Health

Abstract This paper explores the relationship between society-related fears and personal mental health. Respondents of an online survey representing the German population (18 + years) answered how much they are worried about eight societal developments (armed conflicts, social inequality, rise of right-wing extremism, crime and terror, immigration, climate change, artificial intelligence, pandemics). The analysis demonstrate that the sum score of society-related fears is significantly associated with higher levels of anxiety and depression. Particularly concerns about poverty, digitalization and pandemics are associated with higher anxiety and depression scores. Further explorations show that specific fears are intermingled with political ideologies, i.e. people fear different societal developments according to their ideological standpoints. Politically left-leaning individuals regard climate change and rising right-wing extremism as more threatening, while politically right-leaning individuals’ fears relate more strongly to migrants, terror and crime. The fears with the largest negative effect on mental health are poverty and armed conflicts for individuals who identify as left and digitalization for individuals who identify as right. Overall, findings lend support to the general notion that the world’s current ‘polycrisis’ is highly relevant and generally detrimental for mental health and human wellbeing.

Authors

Institutions

Publication Details

Journal
Applied Research in Quality of Life
Published
2024-08-31
DOI
https://doi.org/10.1007/s11482-024-10367-0
Citations
1
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Society-related Fears and Personal Mental Health

Michael Mutz
1 citations
Applied Research in Quality of Life
Employment and Welfare Studies
0.85
article

Society-related Fears and Personal Mental Health

Michael Mutz
article en
1 citations

Abstract

Abstract This paper explores the relationship between society-related fears and personal mental health. Respondents of an online survey representing the German population (18 + years) answered how much they are worried about eight societal developments (armed conflicts, social inequality, rise of right-wing extremism, crime and terror, immigration, climate change, artificial intelligence, pandemics). The analysis demonstrate that the sum score of society-related fears is significantly associated with higher levels of anxiety and depression. Particularly concerns about poverty, digitalization and pandemics are associated with higher anxiety and depression scores. Further explorations show that specific fears are intermingled with political ideologies, i.e. people fear different societal developments according to their ideological standpoints. Politically left-leaning individuals regard climate change and rising right-wing extremism as more threatening, while politically right-leaning individuals’ fears relate more strongly to migrants, terror and crime. The fears with the largest negative effect on mental health are poverty and armed conflicts for individuals who identify as left and digitalization for individuals who identify as right. Overall, findings lend support to the general notion that the world’s current ‘polycrisis’ is highly relevant and generally detrimental for mental health and human wellbeing.

Applied Research in Quality of LifeVol. 19(5)
Justus-Liebig-Universität Gießen (DE)
No poverty
Openalex Percentile: Top 22%
Employment and Welfare Studies
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.