The DOI matches its Crossref record; 19 of the 22 references it cites were found in a registry or an index.
Democracy and Depression: A Cross-National Study of Depressive Symptoms and Nonparticipation
Abstract
Depression is the most common mental health disorder. It has consequences not only on individuals but also on social and political levels. We argue that depressive symptoms impair political participation by reducing the motivation and physical energy of sufferers. We test our hypotheses by conducting regression analyses of four nationally representative cross-sectional and longitudinal surveys that collectively span many democracies. Our results are threefold. First, we find that the severest depressive symptoms lower the probability of voting by 0.05–0.25 points, an effect that is exceeded only by education and age. Second, we show that depressive symptoms negatively affect political interest and internal efficacy, thereby confirming that they diminish political motivation. Third, we find that depressive symptoms most strongly affect physically demanding acts, thereby confirming that they reduce the physical energy required for participation. We conclude by urging scholars to take depressive symptoms seriously in the study of political behavior.
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“First, Landwehr and Ojeda (2021) show that, across four countries, depressive symptoms substantially reduce the probability of voting by diminishing political motivation and physical energy (also see Ojeda, 2015, Ojeda & Pacheco, 2019).”
From How to study democratic backsliding (2024) · cites this paper as Landwehr and Ojeda (2021)
Citations
Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
TARGET ARTICLE: "Posttraumatic Growth: Conceptual Foundations and Empirical Evidence"
Tedeschi, R. G., & Calhoun, L. G. (2004) · Psychological Inquiry · doi:10.1207/s15327965pli1501_01 · Cited by 7,154
The increasing burden of depression
Briley, M., & Lépine (2011) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s19617 · Cited by 1,297
Reciprocal Effects of Participation and Political Efficacy: A Panel Analysis
Finkel, S. E. (1985) · American Journal of Political Science · doi:10.2307/2111186 · Cited by 812
Depression as a disease of modernity: explanations for increasing prevalence
Hidaka, B. H. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.12.036 · Cited by 769
You’ve Either Got It or You Don’t? The Stability of Political Interest over the Life Cycle
Prior, M. (2010) · The Journal of Politics · doi:10.1017/s0022381610000149 · Cited by 588
Measuring attitudes cross-nationally : lessons from the European social survey
Jowell, R. M. (2007) · Cited by 456
Vecchione, M., & Caprara, G. V. (2009) · Personality and Individual Differences · doi:10.1016/j.paid.2008.11.021 · Cited by 369
Measuring Attitudes Cross-Nationally
Jowell, R. M., Roberts, C., Fitzgerald, R., & Eva, G. (2007) · SAGE Publications Ltd eBooks · doi:10.4135/9781849209458 · Cited by 224
Depression and self-focused attention
Smith, T. W., & Greenberg, J. (1981) · Motivation and Emotion · doi:10.1007/bf00992551 · Cited by 188
Research works printed but not linked: 5
- 2018, British Household Panel Survey: Waves 1–18, 1991–2009
- Tedeschi, 2004, Posttraumatic Growth: Conceptual Foundations and Empirical Evidence, An International Journal for the Advancement of Psychological Theory, 15, 1
- 2013, Diagnostic and Statistical Manual of Mental Disorders
- 2013, The Global Burden of Disease
- Verba, 1996, Voice and Equality
Cited by
Sorted by citations
Down But Not Yet Out: Depression, Political Efficacy, and Voting
Bernardi, L., Mattila, M., Papageorgiou, A., & Rapeli, L. (2022) · Political Psychology · doi:10.1111/pops.12837 · Cited by 87
The Political Economy of Health: Bringing Political Science In
Lynch, J. F. (2023) · Annual Review of Political Science · doi:10.1146/annurev-polisci-051120-103015 · Cited by 66
How to study democratic backsliding
Druckman, J. N. (2024) · Political Psychology · doi:10.1111/pops.12942 · Cited by 56
Bækgaard, M., Herd, P., & Moynihan, D. P. (2022) · British Journal of Political Science · doi:10.1017/s000712342200031x · Cited by 40
Santana, A., Rama, J., & Bértoa, F. C. (2020) · doi:10.31235/osf.io/3d4ny · Cited by 39
Metadata
- Authors
- LANDWEHR, C., & OJEDA, C.
- Affiliations
- Johannes Gutenberg University Mainz (DE)
- University of Tennessee at Knoxville (US)
- Corresponding author
- LANDWEHR, CLAUDIA
- OJEDA, CHRISTOPHER
- Venue
- American Political Science Review
- Publisher
- Cambridge University Press (CUP)
- Published
- 2020-10-19
- Volume
- 115
- Issue
- 1
- Pages
- 323-330
- ISSN
- 0003-0554 (ISSN-L)
- 1537-5943
- OpenAlex
- W3094416646
- Cited by
- 116
- References
- 22
- Citations by year
- 2026: 15 · 2025: 21 · 2024: 29 · 2023: 34 · 2022: 11 · 2021: 4 · 2020: 2
- FWCI
- 44.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Political Science Review (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Social Sciences › Political Science and International Relations › Political Theory and Democracy
- Keywords
- depressive symptoms, depression, political participation, voting behavior, political interest, internal political efficacy, political motivation, physical energy, democracy
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