Document type

Article

Version

Accepted version

Publication date

All rights reserved

Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/44314

Measuring Intermediary Determinants of Early Childhood Health: A Composite Index Comparing Colombian Departments

Journal Title

Director/Tutor

Additional contribution

Journal ISSN

Volume Title

Abstract

In recent years there has been growing interest in composite indicators as an efficient tool of analysis and a method of prioritizing policies. This paper presents a composite index of intermediary determinants of child health using a multivariate statistical approach. The index shows how specific determinants of child health vary across Colombian departments (administrative subdivisions). We used data collected from the 2010 Colombian Demographic and Health Survey (DHS) for 32 departments and the capital city, Bogotá. Adapting the conceptual framework of Commission on Social Determinants of Health (CSDH), five dimensions related to child health are represented in the index: material circumstances, behavioural factors, psychosocial factors, biological factors and the health system. In order to generate the weight of the variables, and taking into account the discrete nature of the data, principal component analysis (PCA) using polychoric correlations was employed in constructing the index. From this method five principal components were selected. The index was estimated using a weighted average of the retained components. A hierarchical cluster analysis was also carried out. The results show that the biggest differences in intermediary determinants of child health are associated with health care before and during delivery.

Citation

Citation

OSORIO MEJÍA, Ana María, BOLANCÉ LOSILLA, Catalina and ALCAÑIZ, Manuela. Measuring Intermediary Determinants of Early Childhood Health: A Composite Index Comparing Colombian Departments. Child Indicators Research. 2012. Vol. 5, num. 3. ISSN 1874-897X. [consulted: 15 of October of 2026]. Available at: https://hdl.handle.net/2445/44314

Export metadata

JSON - METS

Share record