A neighborhood wealth metric for use in health studies.

BACKGROUND Measures of neighborhood deprivation used in health research are typically based on conventional area-based SES. PURPOSE The aim of this study is to examine new data and measures of SES for use in health research. Specifically, assessed property values are introduced as a new individual-level metric of wealth and tested for their ability to substitute for conventional area-based SES as measures of neighborhood deprivation. METHODS The analysis was conducted in 2010 using data from 1922 participants in the 2008-2009 survey of the Seattle Obesity Study (SOS). It compared the relative strength of the association between the individual-level neighborhood wealth metric (assessed property values) and area-level SES measures (including education, income, and percentage above poverty as single variables, and as the composite Singh index) on the binary outcome fair/poor general health status. Analyses were adjusted for gender, categoric age, race, employment status, home ownership, and household income. RESULTS The neighborhood wealth measure was more predictive of fair/poor health status than area-level SES measures, calculated either as single variables or as indices (lower DIC measures for all models). The odds of having a fair/poor health status decreased by 0.85 (95% CI=0.77, 0.93) per $50,000 increase in neighborhood property values after adjusting for individual-level SES measures. CONCLUSIONS The proposed individual-level metric of neighborhood wealth, if replicated in other areas, could replace area-based SES measures, thus simplifying analyses of contextual effects on health.

[1]  T. Koepsell,et al.  Multi-level analysis in epidemiologic research on health behaviors and outcomes. , 1992, American journal of epidemiology.

[2]  Anne Vernez Moudon,et al.  Built environment and behavior: spatial sampling using parcel data. , 2006, Annals of epidemiology.

[3]  S V Subramanian,et al.  Comparison of a spatial perspective with the multilevel analytical approach in neighborhood studies: the case of mental and behavioral disorders due to psychoactive substance use in Malmo, Sweden, 2001. , 2005, American journal of epidemiology.

[4]  T. Lumley,et al.  Evaluating options for measurement of neighborhood socioeconomic context: evidence from a myocardial infarction case-control study. , 2008, Health & place.

[5]  A. Diez-Roux Multilevel analysis in public health research. , 2000, Annual review of public health.

[6]  Robert M. Hauser,et al.  Context and Consex: A Cautionary Tale , 1970, American Journal of Sociology.

[7]  William Pickett,et al.  Influence of individual- and area-level measures of socioeconomic status on obesity, unhealthy eating, and physical inactivity in Canadian adolescents. , 2006, The American journal of clinical nutrition.

[8]  David R. Williams,et al.  Measuring social class in US public health research: concepts, methodologies, and guidelines. , 1997, Annual review of public health.

[9]  B. Saelens,et al.  Built environment correlates of walking: a review. , 2008, Medicine and science in sports and exercise.

[10]  Anne Vernez Moudon,et al.  The 3Ds + R: Quantifying Land Use and Urban Form Correlates of Walking , 2006 .

[11]  K. Pickett,et al.  Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review , 2001, Journal of epidemiology and community health.

[12]  S. Folkman,et al.  Socioeconomic inequalities in health. No easy solution. , 1993 .

[13]  Jon Wakefield,et al.  Health-exposure modeling and the ecological fallacy. , 2005, Biostatistics.

[14]  J. Wakefield Ecologic studies revisited. , 2008, Annual review of public health.

[15]  Susan E. Mayer,et al.  Growing Up in Poor Neighborhoods: How Much Does It Matter? , 1989, Science.

[16]  Anne Vernez Moudon,et al.  Transportation-Efficient Land Use Mapping Index (TELUMI), a Tool to Assess Multimodal Transportation Options in Metropolitan Regions , 2011 .

[17]  V. Carstairs,et al.  Deprivation and health in Scotland. , 1990, Health bulletin.

[18]  M. Siahpush,et al.  Widening socioeconomic inequalities in US life expectancy, 1980-2000. , 2006, International journal of epidemiology.

[19]  A. Drewnowski,et al.  Child obesity associated with social disadvantage of children's neighborhoods. , 2010, Social science & medicine.

[20]  A. D. Diez Roux,et al.  Neighborhoods and health , 2010, Annals of the New York Academy of Sciences.

[21]  Robert Pampalon,et al.  A comparison of individual and area-based socio-economic data for monitoring social inequalities in health. , 2009, Health reports.

[22]  D. Lawlor,et al.  Aspirin and cognitive function , 2007, BMJ : British Medical Journal.

[23]  J. N. Edwards,et al.  Changes in BMI over 6 years: the role of demographic and neighborhood characteristics , 2010, International Journal of Obesity.

[24]  B. Popkin,et al.  Inequality in the Built Environment Underlies Key Health Disparities in Physical Activity and Obesity , 2006, Pediatrics.

[25]  Gary C. White,et al.  Statistical Applications in the Spatial Sciences. , 1981 .

[26]  R Tye,et al.  Deprived People or Deprived Places? Exploring the Ecological Fallacy in Studies of Deprivation with the Samples of Anonymised Records , 1996 .

[27]  B. Giles-Corti,et al.  Increasing walking: how important is distance to, attractiveness, and size of public open space? , 2005, American journal of preventive medicine.

[28]  E. Reither,et al.  A multilevel analysis of race, community disadvantage, and body mass index among adults in the US. , 2004, Social science & medicine.

[29]  A. Roux The Study of Group-Level Factors in Epidemiology: Rethinking Variables, Study Designs, and Analytical Approaches , 2004 .

[30]  M. Thun,et al.  Individual- and area-level socioeconomic status variables as predictors of mortality in a cohort of 179,383 persons. , 2004, American journal of epidemiology.

[31]  Bruce T. Milne,et al.  Effects of changing spatial scale on the analysis of landscape pattern , 1989, Landscape Ecology.

[32]  J. Besag,et al.  Bayesian image restoration, with two applications in spatial statistics , 1991 .

[33]  S. Piantadosi,et al.  The ecological fallacy. , 1988, American journal of epidemiology.

[34]  S V Subramanian,et al.  The relevance of multilevel statistical methods for identifying causal neighborhood effects. , 2004, Social science & medicine.

[35]  T. Rea,et al.  Socioeconomic status and survival from out-of-hospital cardiac arrest. , 2005, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[36]  Thomas F. Crossley,et al.  The reliability of self-assessed health status. , 2002, Journal of health economics.

[37]  Gillian Lancaster,et al.  Reducing bias in ecological studies: an evaluation of different methodologies , 2006 .

[38]  Ming Zhang,et al.  Metrics of Urban Form and the Modifiable Areal Unit Problem , 2005 .

[39]  L. Mckay,et al.  Socio-economic position and health: what you observe depends on how you measure it. , 2003, Journal of public health medicine.

[40]  N. Krieger,et al.  Women and social class: a methodological study comparing individual, household, and census measures as predictors of black/white differences in reproductive history. , 1991, Journal of epidemiology and community health.

[41]  P. Townsend,et al.  Health and Deprivation: Inequality and the North , 1987 .

[42]  Penny Gordon-Larsen,et al.  Built and social environments associations with adolescent overweight and activity. , 2006, American journal of preventive medicine.

[43]  Jarvis T. Chen,et al.  Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the Public Health Disparities Geocoding Project. , 2002, American journal of epidemiology.

[44]  T. Koepsell,et al.  Association of the built environment with physical activity and obesity in older persons. , 2007, American journal of public health.

[45]  Gopal K. Singh,et al.  Area deprivation and widening inequalities in US mortality, 1969-1998. , 2003, American journal of public health.

[46]  V. Carstairs,et al.  Which deprivation? A comparison of selected deprivation indexes. , 1991, Journal of public health medicine.

[47]  Y. Benyamini,et al.  Self-rated health and mortality: a review of twenty-seven community studies. , 1997, Journal of health and social behavior.

[48]  M. Jerrett,et al.  Competing definitions of contextual environments , 2006, International journal of health geographics.

[49]  Bradley P. Carlin,et al.  Bayesian measures of model complexity and fit , 2002 .

[50]  J. Clapp,et al.  Estimating price trends for residential property: A comparison of repeat sales and assessed value methods , 1992 .

[51]  S V Subramanian,et al.  Zip code caveat: bias due to spatiotemporal mismatches between zip codes and US census-defined geographic areas--the Public Health Disparities Geocoding Project. , 2002, American journal of public health.

[52]  S. Syme,et al.  The social environment and health: a discussion of the epidemiologic literature. , 1999, Annual review of public health.

[53]  N. Frohlich,et al.  Socioeconomic Status and the Health of the Population , 1995, Medical care.

[54]  J M Lepkowski,et al.  Socioeconomic factors, health behaviors, and mortality: results from a nationally representative prospective study of US adults. , 1998, JAMA.

[55]  A S Fotheringham,et al.  The Modifiable Areal Unit Problem in Multivariate Statistical Analysis , 1991 .

[56]  D. Ahn,et al.  Effect of cross-level interaction between individual and neighborhood socioeconomic status on adult mortality rates. , 2006, American journal of public health.

[57]  M Maclure,et al.  Should we use a case-crossover design? , 2000, Annual review of public health.

[58]  P. Braveman,et al.  Measuring Socioeconomic Status/Position in Studies of Racial/Ethnic Disparities: Maternal and Infant Health , 2001, Public health reports.

[59]  S. Openshaw A million or so correlation coefficients : three experiments on the modifiable areal unit problem , 1979 .

[60]  V. Fuchs Reflections on the socio-economic correlates of health. , 2004, Journal of health economics.

[61]  Jianguo Wu,et al.  The modifiable areal unit problem and implications for landscape ecology , 1996, Landscape Ecology.

[62]  S. Robert SOCIOECONOMIC POSITION AND HEALTH: The Independent Contribution of Community Socioeconomic Context1 , 1999 .

[63]  L. Mckay,et al.  What features of the home and the area might help to explain observed relationships between housing tenure and health? Evidence from the west of Scotland. , 2003, Health & place.

[64]  J. House,et al.  Understanding social factors and inequalities in health: 20th century progress and 21st century prospects. , 2002, Journal of health and social behavior.

[65]  S. Openshaw Ecological Fallacies and the Analysis of Areal Census Data , 1984, Environment & planning A.

[66]  Richard Shearmur,et al.  Comparing alternative approaches to measuring the geographical accessibility of urban health services: Distance types and aggregation-error issues , 2008, International journal of health geographics.

[67]  L. Oliver,et al.  Effects of neighbourhood income on reported body mass index: an eight year longitudinal study of Canadian children , 2008, BMC public health.

[68]  Christian Janssen,et al.  Estimating Market Prices and Assessed Values for Income Properties , 1999 .

[69]  M. Metzler,et al.  Socioeconomic status in health research: one size does not fit all. , 2005, JAMA.

[70]  R. Sampson,et al.  ASSESSING "NEIGHBORHOOD EFFECTS": Social Processes and New Directions in Research , 2002 .

[71]  K Y Liang,et al.  Longitudinal data analysis for discrete and continuous outcomes. , 1986, Biometrics.

[72]  Andrew Thomas,et al.  WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility , 2000, Stat. Comput..

[73]  L. Cobb,et al.  Socioeconomic status and prediction of ventricular fibrillation survival. , 1993, American journal of public health.

[74]  N. Schuurman,et al.  Deprivation Indices, Population Health and Geography: An Evaluation of the Spatial Effectiveness of Indices at Multiple Scales , 2007, Journal of Urban Health.