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Local versus universal growth standards: the effect of using NCHS as universal reference
Annals of Human Biology
|July 1, 1986
Summary
Using local growth charts is crucial for accurately assessing child nutritional status in developing nations. This ensures effective nutritional programs by reflecting regional growth patterns instead of relying on Western standards.
Area of Science:
- Pediatrics
- Public Health
- Anthropometry
Background:
- Developing countries often lack local growth references for assessing child nutritional status.
- Fieldworkers frequently use the National Center for Health Statistics (NCHS) or other Western standards, which may not be appropriate.
- This practice can lead to inaccurate assessments and ineffective nutritional interventions.
Purpose of the Study:
- To evaluate the suitability of using the NCHS reference standard versus local standards for assessing the nutritional status of children in diverse geographical areas.
- To highlight the heterogeneity in growth patterns across different regions in Africa and Asia.
Main Methods:
- Cross-sectional data were collected from 6631 children aged 0-6 years across four distinct geographical areas in Africa and Asia.
- Children assessed had no signs of protein-energy malnutrition.
- Local growth curves were generated for each area and compared against the NCHS reference standard.
Main Results:
- Significant heterogeneity was observed among the local growth curves from the four geographical areas.
- Growth values at different ages were not consistently proportional to the NCHS reference standard.
- The NCHS reference standard did not accurately reflect local growth patterns in these populations.
Conclusions:
- The findings strongly support the use of locally derived growth standards for nutritional screening of children in developing countries.
- Implementing local standards is essential for developing accurate and effective child nutrition programs.
- Reliance on non-local standards can lead to misclassification of nutritional status and suboptimal program design.