Unknown

Dataset Information

0

Association of environmental and socioeconomic indicators with serious mental illness diagnoses identified from general practitioner practice data in England: A spatial Bayesian modelling study.


ABSTRACT:

SUBMITTER: Cruz J 

PROVIDER: S-EPMC9286217 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Association of environmental and socioeconomic indicators with serious mental illness diagnoses identified from general practitioner practice data in England: A spatial Bayesian modelling study.

Cruz Joana J   Li Guangquan G   Aragon Maria Jose MJ   Coventry Peter A PA   Jacobs Rowena R   Prady Stephanie L SL   White Piran C L PCL  

PLoS medicine 20220630 6


<h4>Background</h4>The evidence is sparse regarding the associations between serious mental illnesses (SMIs) prevalence and environmental factors in adulthood as well as the geographic distribution and variability of these associations. In this study, we evaluated the association between availability and proximity of green and blue space with SMI prevalence in England as a whole and in its major conurbations (Greater London, Birmingham, Liverpool and Manchester, Leeds, and Newcastle).<h4>Methods  ...[more]

Similar Datasets

| S-EPMC6890489 | biostudies-literature
| S-EPMC6097392 | biostudies-literature
| S-EPMC4629823 | biostudies-literature
| S-EPMC9489605 | biostudies-literature
| S-EPMC5724116 | biostudies-literature
| S-EPMC10756685 | biostudies-literature
| S-EPMC8256502 | biostudies-literature
| S-EPMC8241377 | biostudies-literature
| S-EPMC5256430 | biostudies-literature
| S-EPMC3373639 | biostudies-literature