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Approaches for assessing the role of household socioeconomic status on child anthropometric measures in urban South Africa.

Sheppard, Z., Norris, S.A., Pettifor, J.M., Cameron, N. and Griffiths, P.L., 2009. Approaches for assessing the role of household socioeconomic status on child anthropometric measures in urban South Africa. American Journal of Human Biology, 21 (1), 48 - 54 .

Full text available as:

Sheppard%20et%20al.%20%282009%29%20-%20AJHB%20SES%20Index%20Paper_for%20BURO-1.pdf - Accepted Version


DOI: 10.1002/ajhb.20814


The objectives of this article were to compare the variance explained in anthropometric outcomes when using individual measures of socioeconomic status (SES) versus different approaches to create SES indices within the urban African context, and to examine the influence of SES measured during infancy on child anthropometric outcomes at 7/8 years. 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. Both individual and index measures of SES explained similar proportions of the variance for each anthropometric outcome. SES measured during infancy influenced weight more than height at age 7/8 years in Johannesburg-Soweto. Positive associations were found between SES and the anthropometric measures--ownership of a car, telephone, and having an inside flush toilet were the most significant SES variables. 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 socioeconomic factors that are important for explaining child anthropometrics. If the purpose of the research is to make policy recommendations for the improvement of child growth, individual SES variables would provide more specific information to target interventions.

Item Type:Article
Uncontrolled Keywords:African Continental Ancestry Group ; Anthropometry ; Child ; Cohort Studies ; Female ; Humans ; Infant ; Linear Models ; Male ; Social Class ; South Africa ; Urban Population
Group:Faculty of Health & Social Sciences
ID Code:22179
Deposited By: Symplectic RT2
Deposited On:07 Jul 2015 10:22
Last Modified:14 Mar 2022 13:52


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