Exploring Spatial Variability in the Relationship between Long Term Limiting Illness and Area Level Deprivation at the City Level Using Geographically Weighted Regression.

Morrissey, Karyn ORCID: 0000-0001-7259-1047 (2015) Exploring Spatial Variability in the Relationship between Long Term Limiting Illness and Area Level Deprivation at the City Level Using Geographically Weighted Regression. AIMS public health, 2 (3). pp. 426-440.

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Official URL: http://dx.doi.org/10.3934/publichealth.2015.3.426

Abstract

Ecological influences on health outcomes are associated with the spatial stratification of health. However, the majority of studies that seek to understand these ecological influences utilise aspatial methods. Geographically weighted regression (GWR) is a spatial statistics tool that expands standard regression by allowing for spatial variance in parameters. This study contributes to the urban health literature, by employing GWR to uncover geographic variation in Limiting Long Term Illness (LLTI) and area level effects at the small area level in a relatively small, urban environment. Using GWR it was found that each of the three contextual covariates, area level deprivation scores, the percentage of the population aged 75 years plus and the percentage of residences of white ethnicity for each LSOA exhibited a non-stationary relationship with LLTI across space. Multicollinearity among the predictor variables was found not to be a problem. Within an international policy context, this research indicates that even at the city level, a "one-size fits all" policy strategy is not the most appropriate approach to address health outcomes. City "wide" health polices need to be spatially adaptive, based on the contextual characteristics of each area.

Item Type:	Article
Uncontrolled Keywords:	area level deprivation, geographically weighted regression, long term limiting illness
Depositing User:	Symplectic Admin
Date Deposited:	06 Aug 2015 10:18
Last Modified:	16 Mar 2024 13:08
DOI:	10.3934/publichealth.2015.3.426
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/2019101