Literature DB >> 2321633

Assigning race to occupational cohorts using census block statistics.

D A Andjelkovich1, R B Richardson, P E Enterline, R J Levine.   

Abstract

Race is an important determinant of disease frequency, yet the race of subjects in retrospective epidemiologic studies is frequently unknown. If addresses are available, the race of study subjects may be estimated from the racial composition of the blocks on which they have resided. Such information can be obtained from census block statistics for Standard Metropolitan Statistical Areas and, with the 1990 Census, probably for the entire United States. The authors assigned black race to persons on blocks with greater than 60% black residents and white race to those residing on blocks containing less than 40% blacks. The validity of the procedure was tested on 341 decedents of known race who resided at the time of death within the Detroit, Michigan, Standard Metropolitan Statistical Area. Thirteen individuals who lived on blocks with 40-60% blacks were excluded from analysis, as well as 18 others for whom racial composition of blocks could not be ascertained. In 293 (94%) of the remaining 310 persons, race assigned on the basis of census information agreed with race obtained from death certificates. This method should prove useful for assigning race to study subjects lacking racial identification.

Entities:  

Keywords:  Americas; Blacks; Cultural Background; Data Collection; Demographic Factors; Developed Countries; Diseases; Economic Factors; Epidemiologic Methods; Estimation Technics; Ethnic Groups; Geographic Factors; Human Resources; North America; Northern America; Occupations; Population; Population Characteristics; Research Methodology; United States

Mesh:

Year:  1990        PMID: 2321633     DOI: 10.1093/oxfordjournals.aje.a115582

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  1 in total

Review 1.  Use of geocoding and surname analysis to estimate race and ethnicity.

Authors:  Kevin Fiscella; Allen M Fremont
Journal:  Health Serv Res       Date:  2006-08       Impact factor: 3.402

  1 in total

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