Social fragmentation, severe mental illness and suicide
Open accessAbstract
Background Geographic patterns of suicide are associated with area levels of social fragmentation. It is unknown whether this reflects higher levels of severe mental illness in socially fragmented areas.Method Data on psychiatric inpatient admissions and suicides amongst people aged 15-64 living in the City of Bristol [1991-1992] were postcode matched to the city's 34 electoral wards. Ecological associations of psychiatric admission (used as a 'proxy' measure of prevalence of severe mental illness) and suicide rates with levels of social fragmentation were investigated using negative binomial regression models.Results Psychiatric hospital admission rates were higher in areas with high levels of socioeconomic deprivation than in areas with high levels of social fragmentation. In contrast, associations with suicide were stronger in relation to social fragmentation than socioeconomic deprivation. Association of suicide with social fragmentation was only moderately attenuated in models controlling for psychiatric admission rate and socio-economic deprivation, RR 1.23 (95 % C. I. 1.09-1.38) per quartile increase in social fragmentation, compared to 1.29 (95% C. I. 1.16-1.44) before adjustment.Conclusion The association between social fragmentation and suicide is not explained by socioeconomic deprivation or the prevalence of severe mental illness within socially fragmented areas as measured by psychiatric admission rate.
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Small-area characteristics cluster into two dimensions associated with variation in suicide rates: neighborhood deprivation and neighborhood fragmentation.
“previous research has shown to cluster into two dimensions associated with variation in suicide rates: neighborhood deprivation (22 indicators; e.g., low median education, high unemployment and poverty rates, percent of households receiving public assistance) and neighborhood fragmentation (5 indicators: proportions of households with single-person occupant, vacant, occupant unmarried, occupant”
From Using Administrative Data to Predict Suicide After Psychiatric Hospitalization in the Veterans Health Administration System (2020) · cites this paper as [51]
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- Authors
- Middleton, N., Evans, J., & Gunnell, D.
- Affiliations
- University of Bristol (GB)
- Corresponding author
- Evans, Jonathan
- Venue
- Social Psychiatry and Psychiatric Epidemiology
- Published
- 2004-03-01
- Volume
- 39
- Issue
- 3
- Pages
- 165-170
- ISSN
- 0933-7954 (ISSN-L)
- 1433-9285
- OpenAlex
- W1977122084
- Cited by
- 76
- References
- 2
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 1 · 2021: 5 · 2020: 3 · 2019: 3 · 2018: 5 · 2016: 3 · 2015: 1 · 2014: 4 · 2013: 2 · 2012: 7
- FWCI
- 4.79
- Type
- journal article
- Language
- en
- Open access
- green
- ktisis.cut.ac.cy
- Licence
- cc-by-nc-nd
- www.springer.com/tdm (tdm)
- Locations
- Social Psychiatry and Psychiatric Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Explore Bristol Research (publishedVersion)
- Ktisis at Cyprus University of Technology (Cyprus University of Technology) (submittedVersion, cc-by-nc-nd)
- Bristol Research (University of Bristol) (submittedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- social fragmentation, suicide, severe mental illness, psychiatric hospital admissions, socioeconomic deprivation, electoral wards
- MeSH terms
- Adolescent, Adult, Age Factors, Mental Disorders, Female, Humans, Interpersonal Relations, Male, Middle Aged, Severity of Illness Index, Sex Factors, Suicide
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