Objectives:To compare the variance explained in anthropometric outcomes when using individual measures of socio-economic status (SES) versus different approaches to creating SES indices within the urban African context.To examine the influence of SES measured during infancy on child anthropometric outcomes at 7/8 years in urban South Africa.Experimental design: Data from the 1990 Birth-to-Twenty cohort study set in Johannesburg-Soweto, South Africa, were used (n=888). Linear regression models were used to investigate the association between SES (individual and index measures) during infancy and anthropometric measures at age 7/8 years, controlling for sex, age, and population group.
Conclusions:The similarities observed in the variance explained relating to the anthropometric outcomes suggest that researchers who want to adjust for SES in analyses could use an SES index to make statistical models more parsimonious. However, using such indices loses information relating to the specific socio-economic factors that are important for explaining child anthropometrics. If the purpose of the research is to make policy 3 recommendations for the improvement of child growth, individual SES variables would provide more specific information to target interventions.