Spatial patterning of self-harm rates within urban areas.

ABSTRACT:

Purpose

Urban areas are usually found to have higher rates of self-harm, with deprivation the strongest predictor at area-level. We use a disease mapping approach to examine how self-harm is patterned within an urban area and its associations with deprivation, urbanness and ethnicity.

Methods

Data from clinical records on individuals admitted for self-harm for 725 small areas in South East London were included. Bayesian hierarchical models explored the spatio-temporal patterns of self-harm admission rates and potential associations with proximity to city centre, population density, percentage greenspace and non-white ethnic-minority populations. All models were adjusted for area-level deprivation, social fragmentation and hospital of admission.

Results

There were 8327

SUBMITTER: Polling C 

PROVIDER: S-EPMC6336929 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature