DOI: http://dx.doi.org/10.18203/2320-6012.ijrms20180292

A study on the correlation between foot length and height of an individual and to derive regression formulae to estimate the height from foot length of an individual

Kanwal Kamboj, Iram Khan, Kuldeep Panday

Abstract


Background: To find out the correlation between foot length and height of an individual and to derive regression formulae to estimate the height from foot length of an individual.

Methods: This was a prospective comparative study. A total of 640 bilateral footprints collected from 320 adult volunteers of ages ranging between 25 and 50 years old. Foot Prints, foot length, Stature and height were recorded as per standard methods.

Results: The mean age (year) was 38.43±7.63, Stature (cm) mean of male and female was 162.75±6.03, Left Foot Breadth (cm) was 8.90±0.92, Right Foot Breadth (cm) was 8.88±0.82, Left Foot length (cm) was 23.70±2.41 and Right Foot length (cm) was 23.68±2.41. The stature-mean ranges from 20.21±1.25 to 23.70±2.1 cm. First toe-heel footprint length measurement (PLT1, PRT1) was found to be the longest in both right and left sides (23.70±2.1; 23.68±1.32) and Fifth toe-heel footprint length measurement (PLT5, PRT5) was found to be the shortest in both right and left sides (20.60±1.3; 20.21±1.25). For males, the highest correlation coefficient was noted for PLT5 (0.524) and the lowest correlation coefficient noted was for PLT1 (0.581) and for females the highest correlation coefficient was noted for PLT5 (0.585) and the lowest correlation coefficient noted was for PLT1 (0.611). Hence, statistically significant correlation coefficients exist between stature and all footprint length measurements. With regard to the coefficient of determination (R2), the predictive accuracy is found to be statistically significant for stature estimation.

Conclusions: Foot length in males and females shows highest correlation with stature and minimum standard error in the estimation of stature. So, the foot length provided the highest reliability and accuracy in estimating stature. The left foot length gives better prediction of stature than the right foot. The prediction of height is better in case of females in comparison to males.


Keywords


Foot length, Footprints, Height, Regression equation

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