The association between depression and crime outcomes: A Swedish population-based studyShow others and affiliations
2024 (English)In: Journal of criminal justice, ISSN 0047-2352, E-ISSN 1873-6203, Vol. 94, article id 102271Article in journal (Refereed) Published
Abstract [en]
Background: Research on the association between depression and crime is limited regarding different types of crime and severity of crime.
Aim: Using Swedish national register data, we explored the association between depression and various crime outcomes and the severity of crime.
Methods: We identified 72,057 individuals with an outpatient depression diagnosis between 2001 and 2013. Individuals with depression were age-, sex-, and socioeconomic status (SES)-matched to undiagnosed population controls (n = 1,080,855). Logistic regression models estimated odds of any, violent, property, drug-related and non-violent crime, as well as the severity of crime.
Results: In fully adjusted models, individuals with depression had significantly higher odds of any conviction (adjusted OR [adjOR] 1.66 [95 % CI 1.60-1.71]). This pattern persisted across all crime types (violent, property, drug-related, non-violent), and for crime severity, including increased odds for longer sentences and multiple convictions.
Conclusions: Individuals with depression had an increased risk for convictions across all crime types and more severe crimes. Our results emphasize the importance of early identification of risk factors and targeted treatments, and the necessity for clarification of the underlying mechanisms of our findings.
Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 94, article id 102271
Keywords [en]
Depression, Criminal convictions, Crime types, Crime severity
National Category
Psychiatry Peace and Conflict Studies Other Social Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:oru:diva-116285DOI: 10.1016/j.jcrimjus.2024.102271ISI: 001313232500001Scopus ID: 2-s2.0-85202584047OAI: oai:DiVA.org:oru-116285DiVA, id: diva2:1902712
Funder
Swedish Research Council, 2018–01041; 2021–02105EU, Horizon 2020, 101030220
Note
Catherine Tuvblad acknowledges funding from the Swedish Research Council (2018–01041). Brittany Evans acknowledges funding from the Swedish Research Council (2021–02105). Shichun Ling acknowledges funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101030220.
2024-10-022024-10-022025-02-20Bibliographically approved