Study on Estimation of Stature from Arm Span Using Regression Equation in Dehradun Region, India

Abstract

Background: Stature can be easily estimated using various anthropometric parameters like arm span, facial dimensions, foot length and breadth, vertebral column length etc. Among these, arm span has been proven to be one of the most reliable predictors.

Materials & Method: The study was conducted in Shridev Suman Subharti Medical College, Dehradun among a total of 100 healthy subjects (17- 25 years), comprising 50 males and 50 females. Those with history of any fracture involving long bones or presence of any spinal deformity were excluded from the study. Stature and arm span was measured directly using anthropometric technique and measuring tape. The correlation between stature and arm span was determined and regression equations were calculated for stature estimation.

Observations & Result: There was a strong positive correlation between mean height and arm span in total subjects as well as in both sexes which showed statistical significance. (r=0.826 for male, r=0.750 for female; p<0.05). Linear regression equations were obtained for total subjects as well as for both sexes for determination of stature.

Conclusion: Stature has a very high, positive correlation with arm span; regression equation can be easily calculated using these variables which can be used as a potential parameter in identification.