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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Anthropometry for syndromology
P Lakshminarayana1, K Janardhan, H S David
1Institute of Child Health and Hospital for Children, Madras.
Indian Journal of Pediatrics
|March 1, 1991
Summary
This study establishes crucial facial measurement standards for South Indian children to aid in diagnosing genetic syndromes. Accurate anthropometric data helps pediatricians identify deviations beyond visual impressions.
Area of Science:
- Anthropometry
- Clinical Genetics
- Pediatrics
Background:
- Facial feature analysis is vital for diagnosing genetic syndromes.
- Existing anthropometric data primarily originates from Western populations, with limited studies from India.
- Population-specific facial measurements are necessary due to variations across diverse ethnic groups.
Purpose of the Study:
- To establish normative anthropometric data for facial features in South Indian children.
- To provide reference standards for detecting deviations indicative of genetic syndromes.
- To compare South Indian facial measurements with existing international and regional data.
Main Methods:
- A cross-sectional study involving 850 children aged 0-11 years.
- Measurement of key facial parameters: inner and outer canthal distances, nasolabial distance, ear length, ear set, and hand length.
- Calculation of interpupillary distance and the AF/AT ratio.
Main Results:
- Presentation of average measurements (50th percentile) and range (3rd and 97th centiles) for studied parameters.
- Detailed tables provide normative data specific to the South Indian pediatric population.
- Comparison of findings with existing studies highlights population-specific variations.
Conclusions:
- The study provides essential normative data for South Indian children, aiding in the diagnosis of genetic syndromes.
- Pediatricians should utilize objective measurements rather than subjective visual impressions for accurate syndrome diagnosis.
- Establishing population-specific anthropometric standards is critical for improving diagnostic accuracy in diverse populations.
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