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Assessment of Child Anthropometry in a Large Epidemiologic Study
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Normative data for anthropometric parameters used in delineation of dysmorphic features in north Indian children

Seema Kapoor1, Shanti Bhuhsan, Vidya B Ghosh

  • 1Department of Pediatrics, Maulana Azad Medical College, New Delhi 110002, India. drseemakapoor@gmail.com

Indian Journal of Pediatrics
|November 10, 2011
PubMed

Insights

This study provides crucial normative anthropometric data for Indian infants and children up to two years old. These measurements aid in identifying dysmorphic features and potential anomalies, emphasizing the need for ethnic-specific data.

Area of Science:

  • Pediatric anthropometry
  • Clinical genetics
  • Dysmorphic feature assessment

Background:

  • Accurate anthropometric data is essential for identifying dysmorphic features in children.
  • Existing normative data may not be representative of diverse ethnic populations.
  • Establishing regional ethnic data is critical for precise clinical evaluations.

Purpose of the Study:

  • To establish normative data for key anthropometric parameters in Indian infants and children up to two years of age.
  • To facilitate the delineation of dysmorphic features using reliable, age- and ethnicity-specific measurements.
  • To develop percentile curves for commonly used anthropometric parameters.

Main Methods:

  • A cross-sectional observational study involving 600 infants and children aged 0-24 months.
  • Measurement of seven anthropometric parameters: inner and outer intercanthal distance, interpupillary distance, ear length, internipple distance, hand length, and middle finger length.
  • Data analysis using the LMS method to generate percentile curves for each age group.

Main Results:

  • No statistically significant sex-based differences were observed in the measured parameters.
  • Significant differences were noted when compared to South East Asian and Caucasian populations, highlighting the need for regional data.
  • Prevalence of isolated anomalies such as polydactyly, syndactyly, preauricular tags, and paraumbilical hernia were documented.

Conclusions:

  • Normative data specific to ethnic origin is valuable for charting dysmorphic traits.
  • Parameters falling below the 3rd or above the 97th percentile warrant further evaluation for co-existing anomalies.
  • The generated percentile charts may have applicability across India, pending further validation studies.
Abstract

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