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2024 (Engelska)Ingår i: Journal of criminal justice, ISSN 0047-2352, E-ISSN 1873-6203, Vol. 94, artikel-id 102271Artikel i tidskrift (Refereegranskat) 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.
Ort, förlag, år, upplaga, sidor
Elsevier, 2024
Nyckelord
Depression, Criminal convictions, Crime types, Crime severity
Nationell ämneskategori
Psykiatri Freds- och konfliktforskning Övrig annan samhällsvetenskap
Identifikatorer
urn:nbn:se:oru:diva-116285 (URN)10.1016/j.jcrimjus.2024.102271 (DOI)001313232500001 ()2-s2.0-85202584047 (Scopus ID)
Forskningsfinansiär
Vetenskapsrådet, 2018–01041; 2021–02105EU, Horisont 2020, 101030220
Anmärkning
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.
2024-10-022024-10-022025-02-20Bibliografiskt granskad