Measures of socioeconomic status for child health research: comparative results from Bangladesh and Pakistan

Soc Sci Med. 1994 May;38(9):1289-97. doi: 10.1016/0277-9536(94)90192-9.

Abstract

This paper examines the reliability and validity of several hypothesized indicators of socioeconomic status for use in epidemiologic research, particularly in studies of child health in the less developed world. Population-based surveys of child health and disability were completed in Bangladesh and Pakistan using standard questionnaires designed to measure four domains of household socioeconomic status: wealth, housing, parental education and occupation. Test-retest data indicate moderate to excellent reliability of most of the socioeconomic indicators in both countries. Loadings from factor analyses of the survey data provide further evidence of the reliability of the data, and confirm that the questionnaire measures housing and wealth as distinct domains in both countries. Parental education and occupation are correlated with housing and/or wealth in these data sets. Bivariate logistic regression analyses show that, although 11 of 12 dichotomous indicators of low socioeconomic status constructed from the data are predictive of child death in at least one of the four sub-populations studied (rural and urban Bangladesh, and rural and urban areas of Karachi, Pakistan), no single indicator is predictive of child death in all four sub-populations. These along with multivariate results demonstrate the importance of including multiple measures of distinct domains if the research aims include investigation and/or control of the effects of socioeconomic status on health in diverse populations.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Bangladesh / epidemiology
  • Child
  • Child Welfare*
  • Developing Countries*
  • Disabled Persons / statistics & numerical data
  • Educational Status
  • Epidemiologic Methods
  • Factor Analysis, Statistical
  • Health Surveys*
  • Housing* / statistics & numerical data
  • Humans
  • Income* / statistics & numerical data
  • Logistic Models
  • Multivariate Analysis
  • Occupations* / statistics & numerical data
  • Pakistan / epidemiology
  • Parents / education*
  • Population Surveillance / methods*
  • Predictive Value of Tests
  • Reproducibility of Results
  • Rural Population
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Urban Population