Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: Relative residential property value as a socio-economic status indicator for health research
Author: Coffee, N.
Lockwood, T.
Hugo, G.
Paquet, C.
Howard, N.
Daniel, M.
Citation: International Journal of Health Geographics, 2013; 12(22):1-10
Publisher: BioMed Central Ltd.
Issue Date: 2013
ISSN: 1476-072X
Statement of
Neil T Coffee, Tony Lockwood, Graeme Hugo, Catherine Paquet, Natasha J Howard and Mark Daniel
Abstract: Background: Residential property is reported as the most valuable asset people will own and therefore provides the potential to be used as a socio-economic status (SES) measure. Location is generally recognised as the most important determinant of residential property value. Extending the well-established relationship between poor health and socio-economic disadvantage and the role of residential property in the overall wealth of individuals, this study tested the predictive value of the Relative Location Factor (RLF), a SES measure designed to reflect the relationship between location and residential property value, and six cardiometabolic disease risk factors, central obesity, hypertriglyceridemia, reduced high density lipoprotein (HDL), hypertension, impaired fasting glucose, and high low density lipoprotein (LDL). These risk factors were also summed and expressed as a cumulative cardiometabolic risk (CMR) score. Methods: RLF was calculated using a global hedonic regression model from residential property sales transaction data based upon several residential property characteristics, but deliberately blind to location, to predict the selling price of the property. The predicted selling price was divided by the actual selling price and the results interpolated across the study area and classified as tertiles. The measures used to calculate CMR were collected via clinic visits from a population-based cohort study. Models with individual risk factors and the cumulative cardiometabolic risk (CMR) score as dependent variables were respectively tested using log binomial and Poisson generalised linear models. Results: A statistically significant relationship was found between RLF, the cumulative CMR score and all but one of the risk factors. In all cases, participants in the most advantaged and intermediate group had a lower risk for cardio-metabolic diseases. For the CMR score the RR for the most advantaged was 19% lower (RR = 0.81; CI 0.76-0.86; p <0.0001) and the middle group was 9% lower (RR = 0.91; CI 0.86-0.95; p <0.0001) than the least advantaged group. Conclusions: This paper advances the understanding of the nexus between place, health and SES by providing an objective spatially informed SES measure for testing health outcomes and reported a robust association between RLF and several health measures.
Keywords: Socio-economic status; Cardiometabolic risk; Geographic information system; Residential property value; Relative location factor
Description: Extent: 10p.
Rights: © 2013 Coffee et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
RMID: 0020128217
DOI: 10.1186/1476-072X-12-22
Appears in Collections:Geography, Environment and Population publications
Australian Population and Migration Research Centre publications

Files in This Item:
File Description SizeFormat 
hdl_78708.pdfPublished version897.3 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.