Multidimensional Nature of Undernutrition: A Statistical Approach
AbstractThe statistical assessment of undernutrition is usually restricted to a pairwise analysis of anthropometric indicators. The main objective of this study was to model the associations between underweight, stunting and wasting and to check whether multidimensionality of undernutrition can be justified from a purely statistical point of view. 3742 children aged 0 to 59 months were enrolled in a cross-sectional household survey (2004 Cameroon Demographic and Health Surveys (DHS)). The saturated loglinear model and the multiple correspondence analysis (MCA) showed no interaction and a highly significant association between underweight and stunting (P=0), underweight and wasting (P=0); but not between stunting and wasting (P=0.430). Cronbach's alpha coefficient between weight-for-age, height-for-age and weight-for-height was 0.62 (95% CI 0.59, 0.64). Thus, the study of these associations is not straightforward as it would appear in a first instance. The lack of three-factor interaction and the value of the Cronbach's alpha coefficient indicate that undernutrition is indeed (statistically) multidimensional. The three indicators are not statistically redundant; thus for the case of Cameroon the choice of a particular anthropometric indicator should depend on the goal of the policy maker, as it comes out of this study that no single indicator is to be used for all situations.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 29246.
Date of creation: 14 Feb 2011
Date of revision:
Publication status: Published in Journal of Medicine and Medical Sciences 2.2(2011): pp. 690-695
Stunting; Wasting; Underweight; anthropometric measures; Z-score; Loglinear models;
Find related papers by JEL classification:
- I12 - Health, Education, and Welfare - - Health - - - Health Production
- C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-03-19 (All new papers)
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Research Department Publications
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