ArticleEpidemiology and psychiatric sciences2019
Spatial patterning and correlates of self-harm in Manchester, England.
Article in Epidemiology and psychiatric sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The application of spatial analysis to understanding the association between area-level socio-economic factors and suicide: a systematic review.Social psychiatry and psychiatric epidemiology · 2023Pooled it
- Identifying high-risk groups for self-harm in adolescents using the Avon Longitudinal Study of Parents and Children (ALSPAC): a cross-cohort comparison latent class analysis study.European child & adolescent psychiatry · 2025Article
- The Relationship between Major and Everyday Discrimination and Suicide Thoughts and Behaviors among a Sample of Socially Anxious Job Seekers.Stigma and health · 2025Article
- Self-harm hospitalizations and neighbourhood level material and social deprivation in Canada: an ecological study.BMC psychiatry · 2024Article
- Care gaps among people presenting to the hospital following self-harm: observational study of three emergency departments in England.BMJ open · 2024Observational
- Australian Youth Self-Harm Atlas: spatial modelling and mapping of self-harm prevalence and related risk and protective factors to inform youth suicide prevention strategies.Epidemiology and psychiatric sciences · 2024Article
- Comparing times of self-harm presentations to hospital emergency departments in children, adolescents, young adults and adults: a national registry study 2007-2019.BMC psychiatry · 2024Article
- Longitudinal associations among dimensional symptoms of depression and anxiety and first onset suicidal ideation in adolescents.Suicide & life-threatening behavior · 2023Article
- The relationship between rurality, travel time to care and death by suicide.BMC psychiatry · 2023Article
- Time of self-harm presentations to hospital emergency departments: a scoping review.Social psychiatry and psychiatric epidemiology · 2023Article
- Variation in rates of self-harm hospital admission and re-admission by ethnicity in London: a population cohort study.Social psychiatry and psychiatric epidemiology · 2021Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo investigate the spatial distribution of self-harm incidence rates, their socioeconomic correlates and sex/age differences using data on self-harm presentations to emergency departments from The Manchester Self-Harm Project (2003-2013).
methodsSmoothed standardised incidence ratios for index self-harm episodes (n = 14 771) and their associations with area-level socioeconomic factors across 258 small areas (median population size = 1470) in the City of Manchester municipality were estimated using Bayesian hierarchical models.
resultsHigher numbers and rates of self-harm were found in the north, east and far southern zones of the city, in contrast to below average rates in the city centre and the inner city zone to the south of the centre. Males and females aged 10-24, 25-44 and 45-64 years showed similar geographical patterning of self-harm. In contrast, there was no clear pattern in the group aged 65 years and older. Fully adjusted analyses showed a positive association of self-harm rates with the percentage of the unemployed population, households privately renting, population with limiting long-term illness and lone-parent households, and a negative association with the percentage of ethnicity other than White British and travel distance to the nearest hospital emergency department. The area-level characteristics investigated explained a large proportion (four-fifths) of the variability in area self-harm rates. Most associations were restricted to those aged under 65 years and some associations (e.g. with unemployment) were present only in the youngest age group.
conclusionsThe findings have implications for allocating prevention and intervention resources targeted at high-risk groups in high incidence areas. Targets for area-based interventions might include tackling the causes and consequences of joblessness, better treatment of long-term illness and consideration of the accessibility of health services.
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