Forensic Medicine · Forensic Identification (Skeletal Age, Fingerprints, Race, Sex, Stature)

Estimation of stature from long bone length using Pearson's regression formula is most accurate when applied to:

  • A The femur alone, as it contributes 26% of total stature
  • B The tibia, as it is least subject to age-related remodelling
  • C The humerus, as upper limb length correlates better with height in South Asians
  • D A combination of all available long bones using multiple regression
Correct answer: D. A combination of all available long bones using multiple regression

Explanation

While the femur is the single most accurate individual long bone for stature estimation (highest correlation with height), Pearson's multiple regression formula using all available long bone measurements gives the most accurate overall estimate. The femur contributes approximately 26% of stature, the tibia approximately 22%, and the fibula is comparable to the tibia. In South Asian populations, Trotter and Gleser equations have been corrected for population-specific proportions; Pearson's formula was derived from European populations and may overestimate stature in Indians.

Reference: The Essentials of Forensic Medicine and Toxicology (Narayan Reddy), 34th ed.

High-yield for: NEET PGINI-CETNExTFMGEUSMLEPLABMRCP

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