Height Prediction Based on the Lengths of Ulna and Tibia in an Iranian Population

Abstract

Background: Height is an important factor for medical, nutrition, and forensic sciences; nevertheless, measuring proves to be a challenging task in some cases. In this respect, an alternative immediate, accurate, and possible anthropometric evaluation is needed. Objectives: This study was set to find a proper formula to estimate height from the lengths of the ulna and tibia in Iranian adults. Methods: A total of 500 healthy males and females aged 20-40 years were randomly selected from the volunteers’ pool for this cross-sectional study. Ulna and tibia lengths and standing heights were measured according to standard protocols. Ulna and tibia lengths were applied to find a reliable equation to predict stature accurately. Data were statistically analyzed by SPSS version 17 using regression, curve estimation, and linear model. Results: The mean (SD) heights of male and female participants were 176.45 (11.98) cm and 161.29 (10.11) cm, respectively, while the right and left ulna and the right and left tibia were 29.05 (1.63) cm, 29.03 (1.44) cm, 38.86 (1.33) cm, and 38.88 (1.25) cm, respectively. The correlation coefficients of r = 0.80 and r = 0.69 for males and females participants’ right ulna, respectively, showed a significant correlation with height. Hence, the new formula provided reliable results for stature estimation for northern Iran subgroups. Conclusions: Equations based based on right ulna length are more reliable and accurate for height prediction in both genders. It should be considered that these equations could be different among ethnically diverse populations, even in the northern Iranian population.