Literature DB >> 11291379

Using aggregate geographic data to proxy individual socioeconomic status: does size matter?

M Soobader1, F B LeClere, W Hadden, B Maury.   

Abstract

OBJECTIVES: This study assessed whether aggregate-level measures of socioeconomic status (SES) are less biased as proxies for individual-level measures if the unit of geographic aggregation is small in size and population.
METHODS: National Health Interview Survey and census data were used to replicate analyses that identified the degree to which aggregate proxies of individual SES bias interpretations of the effects of SES on health.
RESULTS: Ordinary least squares regressions on self-perceived health showed that the coefficients for income and education measured at the tract and block group levels were larger than those at the individual level but smaller than those estimated by Geronimus et al. at the zip code level.
CONCLUSIONS: Researchers should be cautious about use of proxy measurement of individual SES even if proxies are calculated from small geographic units.

Entities:  

Mesh:

Year:  2001        PMID: 11291379      PMCID: PMC1446644          DOI: 10.2105/ajph.91.4.632

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  13 in total

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2.  Overcoming the absence of socioeconomic data in medical records: validation and application of a census-based methodology.

Authors:  N Krieger
Journal:  Am J Public Health       Date:  1992-05       Impact factor: 9.308

3.  Use of census-based aggregate variables to proxy for socioeconomic group: evidence from national samples.

Authors:  A T Geronimus; J Bound
Journal:  Am J Epidemiol       Date:  1998-09-01       Impact factor: 4.897

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Authors:  F B LeClere; R G Rogers; K Peters
Journal:  J Health Soc Behav       Date:  1998-06

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7.  Misclassification of social disadvantage based on geographical areas: comparison of postcode and collector's district analyses.

Authors:  J C Hyndman; C D Holman; R L Hockey; R J Donovan; B Corti; J Rivera
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8.  Detecting survival effects of socioeconomic status: problems in the use of aggregate measures.

Authors:  H P Greenwald; N L Polissar; E F Borgatta; R McCorkle
Journal:  J Clin Epidemiol       Date:  1994-08       Impact factor: 6.437

9.  Women and social class: a methodological study comparing individual, household, and census measures as predictors of black/white differences in reproductive history.

Authors:  N Krieger
Journal:  J Epidemiol Community Health       Date:  1991-03       Impact factor: 3.710

10.  Mortality effects of community socioeconomic status.

Authors:  R T Anderson; P Sorlie; E Backlund; N Johnson; G A Kaplan
Journal:  Epidemiology       Date:  1997-01       Impact factor: 4.822

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7.  An approach to studying social disparities in health and health care.

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10.  The association among neighborhood socioeconomic status, race and chronic pain in black and white older adults.

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