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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
PubMed
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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.

Related Experiment Videos

  • 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.