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Ecological study of social fragmentation, poverty, and suicide
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Abstract Objectives: To investigate the association between suicide and area based measures of deprivation and social fragmentation. Design: Ecological study. Setting: 633 parliamentary constituencies of Great Britain as defined in 1991. Main outcome measures: Age and sex specific mortality rates for suicide and all other causes for 1981-92. Results: Mortality from suicide and all other causes increased with increasing Townsend deprivation score, social fragmentation score, and abstention from voting in all age and sex groups. Suicide mortality was most strongly related to social fragmentation, whereas deaths from other causes were more closely associated with Townsend score. Constituencies with absolute increases in social fragmentation and Townsend scores between 1981 and 1991 tended to have greater increases in suicide rates over the same period. The relation between change in social fragmentation and suicide was largely independent of Townsend score, whereas the association with Townsend score was generally reduced after adjustment for social fragmentation. Conclusions: Suicide rates are more strongly associated with measures of social fragmentation than with poverty at a constituency level. Key messages Place of residence may affect health, and mortality from most common diseases tends to be higher in areas characterised by low socioeconomic position Research dating back over 100 years suggests that social fragmentation may influence suicide In the 1980s and 1990s, parliamentary constituencies with high levels of social fragmentation had high rates of suicide, independent of deprivation Constituencies with the greatest increases in social fragmentation between 1981 and 1991 also had the greatest increases in suicide rates over the same period Any targeting of suicide prevention may be more effective if aimed at socially fragmented rather than deprived areas
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“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 [53]
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Metadata
- Authors
- Whitley, E., Gunnell, D., Dorling, D., & Smith, G. D.
- Affiliations
- University of Bristol (GB)
- Corresponding author
- Whitley, E.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 1999-10-16
- Volume
- 319
- Issue
- 7216
- Pages
- 1034-1037
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC28254
- OpenAlex
- W1996434420
- Cited by
- 250
- References
- 35
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 3 · 2022: 4 · 2021: 7 · 2020: 10 · 2019: 8 · 2018: 6 · 2017: 4 · 2016: 12 · 2015: 6 · 2014: 12 · 2013: 9 · 2012: 13
- FWCI
- 9.97
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- BMJ (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Sociology and Political Science › Homicide, Infanticide, and Child Abuse
- Keywords
- suicide, social fragmentation, poverty, area deprivation, suicide mortality, all-cause mortality, electoral abstention, parliamentary constituencies
- MeSH terms
- Adult, Aged, Female, United Kingdom, Humans, Male, Middle Aged, Poverty, Regression Analysis, Risk Factors, Social Environment, Suicide, Urban Health, Age Distribution, Sex Distribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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