Relative residential property value as a socio-economic status indicator for health research

International Journal of Health Geographics

Mark Daniel⁵  Natasha J Howard¹  Catherine Paquet³  Graeme Hugo⁴  Tony Lockwood²  Neil T Coffee⁴ 

[1] Social Epidemiology and Evaluation Research Group, School of Population Health & Sansom Institute for Health Research, Division of Health Sciences, GPO Box 2471, City East Campus, University of South Australia, Adelaide 5001, Australia;Centre for Regulation and Market Analysis, UniSA School of Business, University of South Australia, City West Campus, GPO Box 2471, Adelaide 5001, Australia;Research Centre of the Douglas Mental Health University Institute, 6875 LaSalle Boulevard Montreal, Quebec H4H 1R3, Canada;Discipline of Geography, Environment and Population and the Australian Population and Migration Research Centre, The University of Adelaide, North Terrace Campus, Adelaide 5000, Australia;Department of Medicine, The University of Melbourne, St Vincent's Hospital, Clinical Sciences Building 29 Regent Street, Fitzroy, Melbourne, VIC 3065, Australia

关键词: Relative location factor;    Residential property value;    Geographic information system;    Cardiometabolic risk;    Socio-economic status;   

Others  :  810169
DOI  :  10.1186/1476-072X-12-22

 received in 2012-11-26, accepted in 2013-03-22,  发布年份 2013

【 摘 要 】

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.

【 授权许可】

   
2013 Coffee et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

Figure 2.

【 参考文献 】

• [1]Di ZX, Yang Y, Liu X: The Importance of Housing to the Accumulation of Household Net Wealth. Joint Center for Housing Studies of Harvard University, Working Paper W01-6; 2003. http://www.jchs.harvard.edu/publications/finance/w03-5_di.pdf webcite
• [2]Gibb K, Hoesli M: Developments in Urban Housing and Property Markets. Urban Studies 2003, 40:887-896.
• [3]Rothenberg J, Galster G, Butler R, Pitkin N: The Maze of Urban Housing Markets. Theory, Evidence, and Policy. Chicago: University of Chicago Press; 1991.
• [4]Bourassa SC, Hoesli M, Peng VS: Do housing submarkets really matter? J Housing Econ 2003, 125:12-28.
• [5]Shevky E, Bell W: Social area analysis. Theory, illustrative application and computational procedures. Stanford California: Stanford University Press; 1955.
• [6]Galster G: William Grigsby and the Analysis of Housing Sub-markets and Filtering. Urban Studies 1996, 33:1797-1805.
• [7]Thrall GI: Business Geography and New Real Estate Market Analysis. New York: Oxford University Press; 2002.
• [8]Watkins C: The definition and identification of housing submarkets. Environmental and Planning A: 2001, 33:2235-2253.
• [9]Adair A, Berry J, McGreal WS: Hedonic Modelling, housing submarkets and residential valuation. J Prop Res 1996, 13:67-83.
• [10]Maclennan D, Tu Y: Economic Perspectives on the structure of Local Housing Systems. Housing Stud 1996, 11:387-405.
• [11]Bourassa S, Hameling F, Hoesli M, Macgregor B: Defining Housing Submarkets. J Housing Econ 1999, 8:160-183.
• [12]Pryce G: The Micro and Macro Effects of the Location of Interim Technical Report for the Office of the Deputy Prime Minister. New Housing Supply; March 2004.
• [13]Orford S: Valuing the Built Environment: GIS and house price analysis. Aldershot: Ashgate; 1999.
• [14]Pavlov A: Space-Varying Regression Coefficients: A Semi-parametric Approach Applied to Real Estate Markets. Real Estate Economics 2000, 28:249-283.
• [15]Gallimore P, Fletcher M, Carter M: Modelling the Influence of Location on Value. J Property Valuation Investment 1996, 14:6-19.
• [16]Coffee N, Lockwood T: The Property Wealth Metric and Socio Economic Indicators. In Proceedings of the 18th Annual Conference Pacific Rim Real Estate Society January 15–18. Edited by Society PRRE. Adelaide, Australia: Pacific Rim Real Estate Society; 2012.
• [17]Openshaw S: The Modifiable Areal Unit Problem. Norwich: Concepts and Techniques in Modern Geography; 1984.
• [18]Fotheringham AS, Wong DWS: The modifiable areal unit problem in multivariate statistical analysis. Environment and Planning A 1991, 23:1025-1044.
• [19]Learnihan V, Van Niel KP, Giles-Corti B, Knuiman M: Effect of scale on the links between walking and urban design. Geogr Res 2011, 49:183-191.
• [20]Parenteau M-P, Sawada M: The modifiable areal unit problem (MAUP) in the relationship between exposure to NO2 and respiratory health. Int J Heal Geogr 2011, 10:58. BioMed Central Full Text
• [21]Kitchin R, Thrift N: International Encyclopedia of Human Geography. 2009.
• [22]Haghdoost AA: Complexity of the Socioeconomic Status and its Disparity as a Determinant of Health. International Journal of Preventative Medicine 2012, 3:75-76.
• [23]Julia C, Valleron A-J: Louis-René Villermé (1782–1863), a pioneer in social epidemiology: re-analysis of his data on comparative mortality in Paris in the early 19th century. Journal of Epidemiology and Community Health 2011, 65:666-670.
• [24]Waitzkin H: One and a half Centuries of Forgetting and Rediscovering: Virchow's Lasting Contributions to Social Medicine. Social Medicine 2006, 1:6.
• [25]Völker S, Kistemann T: The impact of blue space on human health and well-being - salutogenetic health effects of inland surface waters: a review. Int J Hyg Environ Health 2011, 214:449-460. In Press, Corrected Proof:12pp
• [26]Ross N, Dorling D, Dunn J, Henriksson G, Glover J, Lynch J, Weitoft G: Metropolitan income inequality and working-age mortality: A cross-sectional analysis using comparable data from five countries. Journal of Urban Health 2005, 82:101-110.
• [27]Chaix B, Isacsson SO, Råstam L, Lindström M, Merlo J: Income change at retirement, neighbourhood-based social support, and ischaemic heart disease: results from the prospective cohort study "Men born in 1914". Social Science and Medicine 2007, 64:818-829.
• [28]Chaix B, Rosvall M, Merlo J: Recent increase of neighborhood socioeconomic effects on ischemic heart disease mortality: a multilevel survival analysis of two large Swedish cohorts. Am J Epidemiol 2007, 165:22-26.
• [29]Korda RJ, Butler JR, Clements MS, Kunitz SJ: Differential impacts of health care in Australia: trend analysis of socioeconomic inequalities in avoidable mortality. International Journal of Epidemiology 2007, 36:157-165.
• [30]Næss Ø, Claussen B, Thelle DS, Smith GD: Four indicators of socioeconomic position: relative ranking across causes of death. Scandinavian Journal of Public Health 2005, 33:215-221.
• [31]Blanc PD, Yen IH, Chen H, Katz PP, Earnest G, Balmes JR, Trupin L, Friedling N, Yelin EH, Eisner MD: Area-level socio-economic status and health status among adults with asthma and rhinitis. Eur Respir J 2006, 27:85-94.
• [32]Chen Y, Breithaupt K, Muhajarine N: Occurrence of chronic obstructive pulmonary disease among Canadians and sex-related risk factors. Journal of Clinical Epidemiology 2000, 53:755-761.
• [33]Auchincloss A, Diez Roux AV, Brown DG, O'Meara ES, Raghunathan T: Association of insulin resistance with distance to wealthy areas: The Multi-Ethnic Study of Atherosclerosis. Am J Epidemiol 2007, 165:389-397.
• [34]Auchincloss AH, Diez Roux AV, Mujahid MS, Shen M, Bertoni AG, Carnethon MR: Neighborhood resources for physical activity and healthy foods and incidence of Type 2 Diabetes Mellitus: The Multi-Ethnic Study of Atherosclerosis. Arch Intern Med 2009, 169:1698-1704.
• [35]Chichlowska KL, Rose KM, Diez-Roux AV, Golden SH, McNeill AM, Heiss G: Life Course Socioeconomic Conditions and Metabolic Syndrome in Adults: The Atherosclerosis Risk in Communities (ARIC) Study. Ann Epidemiol 2009, 19:875-883.
• [36]Loucks EB, Rehkopf DH, Thurston RC, Kawachi I: Socioeconomic Disparities in Metabolic Syndrome Differ by Gender: Evidence from NHANES III. Ann Epidemiol 2007, 17:19-26.
• [37]Dragano N, Bobak M, Wege N, Peasey A, Verde P, Kubinova R, Weyers S, Moebus S, Mohlenkamp S, Stang A: Neighbourhood socioeconomic status and cardiovascular risk factors: a multilevel analysis of nine cities in the Czech Republic and Germany. BMC Publ Health 2007, 7:255. BioMed Central Full Text
• [38]Clarke PJ, O'Malley PM, Schulenberg JE, Johnston LD: Midlife Health and Socioeconomic Consequences of Persistent Overweight Across Early Adulthood: Findings From a National Survey of American Adults (1986–2008). Am J Epidemiol 2010, 172:540-548.
• [39]Adams R, Howard N, Tucker G, Appleton S, Taylor A, Chittleborough C, Gill T, Ruffin R, Wilson D: Effects of area deprivation on health risks and outcomes: a multilevel, cross-sectional, Australian population study. International Journal of Public Health 2009, 54:183-192.
• [40]Fonda SJ, Fultz NH, Jenkins KR, Wheeler LM, Wray LA: Relationship of Body Mass and Net Worth for Retirement-Aged Men and Women. Research on Aging 2004, 26:153-176.
• [41]Rehm CD, Moudon AV, Hurvitz PM, Drewnowski A: Residential property values are associated with obesity among women in King County, WA, USA. Social Science & Medicine 2012, 75:491-495.
• [42]Sabanayagam C, Shankar A, Wong TY, Saw SM, Foster PJ: Socioeconomic status and overweight/obesity in an adult Chinese population in Singapore. Journal of epidemiology / Japan Epidemiological Association 2007, 17:161-168.
• [43]Perera I, Ekanayake L: Conventional Versus Asset Approaches: Comparative Appraisal of Socioeconomic Indicators for Oral Health Research Among Adolescents in a Developing Country. Asia-Pacific Journal of Public Health 2010, 22:407-414.
• [44]Chuang Y-C, Cubbin C, Ahn D, Winkleby MA: Effects of neighbourhood socioeconomic status and convenience store concentration on individual level smoking. Journal of Epidemiology and Community Health 2005, 59:568-573.
• [45]De Vries H: Socio-economic differences in smoking: Dutch adolescents' beliefs and behaviour. Social Science & Medicine 1995, 41:419-424.
• [46]Gilman SE, Abrams DB, Buka SL: Socioeconomic status over the life course and stages of cigarette use: initiation, regular use, and cessation. Journal of Epidemiology and Community Health 2003, 57:802-808.
• [47]Laaksonen M, Rahkonen O, Karvonen S, Lahelma E: Socioeconomic status and smoking. The European Journal of Public Health 2005, 15:262-269.
• [48]Curran GM, Stoltenberg SF, Hill EM, Mudd SA, Blow FC, Zucker RA: Gender Differences in the Relationships among SES, Family History of Alcohol Disorders and Alcohol Dependence. Journal of Studies on Alcohol 1999, 60:825-832.
• [49]Parker DA, Harford TC: The epidemiology of alcohol consumption and dependence across occupations in the United States. Alcohol Health and Research World 1992, 16:95-95.
• [50]Marmot M: Social Determinants of Health. 2nd edition. Edited by Wilkinson R. Oxford: Oxford University Press; 2006.
• [51]Lewis G, Bebbington P, Brugha T, Farrell M, Gill B, Jenkins R, Meltzer H: Socioeconomic status, standard of living, and neurotic disorder. Lancet 1998, 352:605-609.
• [52]Sykes DH, Hanley M, Boyle DM, Higginson JDS, Wilson C: Socioeconomic status, social environment, depression and postdischarge adjustment of the cardiac patient. J Psychosom Res 1999, 46:83-98.
• [53]Fuller-Thomson E, Hulchanski JD, Hwang S: The Housing/Health Relationship: What Do We Know? Rev Environ Heal 2000, 15:109-134.
• [54]Ball K, Mishra G, Crawford D: Which aspects of socioeconomic status are related to obesity among men and women? Int J Obes 2002, 26:559-565.
• [55]Corvalán C, Amigo H, Bustos P, Rona RJ: Socioeconomic risk factors for asthma in Chilean young adults. Am J Public Health 2005, 95:1375-1381.
• [56]Bradley RH, Corwyn RF: Socioeconomic status and child development. Annu Rev Psychol 2002, 53:371-399.
• [57]Forastiere F, Agabiti N, Corbo GM, Dell'Orco V, Porta D, Pistelli R, Levenstein S, Perucci CA: Socioeconomic Status, Number of Siblings, and Respiratory Infections in Early Life as Determinants of Atopy in Children. Epidemiology 1997, 8:566-570.
• [58]Lindelow M: Sometimes more equal than others: how health inequalities depend on the choice of welfare indicator. Heal Econ 2006, 15:263-279.
• [59]Pollack CE, Chideya S, Cubbin C, Williams B, Dekker M, Braveman P: Should Health Studies Measure Wealth? A Systematic Review. American Journal of Preventive Medicine 2007, 33:250-264.
• [60]Braveman Pa CCES: Socioeconomic status in health research: One size does not fit all. JAMA 2005, 294:2879-2888.
• [61]Department for Communities and Local Government: The English Indices of Deprivation. London: Communities and Local Government; 2007.
• [62]Payne RA, Abel GA: UK indices of multiple deprivation – a way to make comparisons across constituent countries easier. Health Stat Q 2012, 53:1-16.
• [63]Australian Bureau of Statistics: Socio-Economic Indexes for Areas (SEIFA) - Technical Paper, 2006. Canberra: Australian Bureau of Statistics; 2006.
• [64]Australian Bureau of Statistics: Information Paper: Census of Population and Housing -- Socio-Economic Indexes for Areas, Australia, 2001. Canberra: Australian Bureau of Statistics; 2001.
• [65]Australian Bureau of Statistics: Information paper: An Introduction to Socio-Economic Indexes For Areas (SEIFA), 2006. Canberra: Australian Bureau of Statistics; 2006.
• [66]Australian Bureau of Statistics: Socio-Economic Indexes for Areas. Catalogue No. 2039.0. Canberra: Australian Bureau of Statistics; 1998.
• [67]Podsakoff PM, MacKenzie SB, Lee J-Y, Podsakoff NP: Common method biases in behavioral research: A critical review of the literature and recommended remedies. J Appl Psychol 2003, 88:879-903.
• [68]Barnett J: Sensitive questions and response effects: an evaluation. J Manag Psychol 1998, 13:63-76.
• [69]Steenkamp J-BEM, de Jong MG, Baumgartner H: Socially Desirable Response Tendencies in Survey Research. J Mark Res 2010, 47:199-214.
• [70]Fone D, Dunstan F, Christie S, Jones A, West J, Webber M, Lester N, Watkins J: Council tax valuation bands, socio-economic status and health outcome: a cross-sectional analysis from the Caerphilly Health and Social Needs Study. BMC Publ Health 2006, 6:115. BioMed Central Full Text
• [71]Vernez Moudon A, Cook AJ, Ulmer J, Hurvitz PM, Drewnowski A: A Neighborhood Wealth Metric for Use in Health Studies. American Journal of Preventive Medicine 2011, 41:88-97.
• [72]Reed R: The significance of social influences and established housing values. Australian Property Journal May 2001, 2001:524-527.
• [73]Jackson E, Kupke V, Rossini P: The relationship between socio-economic indicators and residential property values in Darwin. In Proceedings of the Thirteenth Annual Pacific-Rim Real Estate Society Conference; January 21–24. Edited by Society PRRE. Fremantle, Western Australia: Pacific Rim Real Estate Society; 2007.
• [74]Usual Residents Profile. 2001, Catalogue #2004.0. http://www.censusdata.abs.gov.au/ABSNavigation/prenav/ViewData?&action=404&documentproductno=405&documenttype=Details&tabname=Details&areacode=405&issue=2001&producttype=Community%20Profiles&producttype=Community Profiles&javascript?=?true&textversion?=?false&navmapdisplayed?=?true&breadcrumb?=?PLD&#Basic Community Profile webcite
• [75]Grant J, Chittleborough C, Taylor A, Dal Grande E, Wilson D, Phillips P, Adams R, Cheek J, Price K, Gill T: The North West Adelaide Health Study: detailed methods and baseline segmentation of a cohort for selected chronic diseases. Epidemiol Perspect Innov 2006, 3:1-14. BioMed Central Full Text
• [76]GIS Dictionary. http://support.esri.com/en/knowledgebase/GISDictionary/term/Jenksoptimization webcite
• [77]Alberti KGMM, Zimmet P, Shaw J: Metabolic syndrome—a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med 2006, 23:469-480.
• [78]Expert Panel on Detection Evaluation and Treatment of High Blood Cholesterol in Adults: Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). J Am Med Assoc 2001, 285:2486-2497.
• [79]Williamson I, Enemark S, Wallace J, Rajabifard A: Land Administration for Sustainable Development. Redlands, California: ESRI Press Academic; 2010.