Estimation of Stature from Parts of Humerus and Radius

Mysorekar, V. R.; Nandedkar, A. N.; Sarma, T. C. S. R.

doi:10.1177/002580248202200304

Cited by 15 publications

(6 citation statements)

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“…15 Some researchers indicated that the foot in a male grows to its adult size by 16 years of age. 16 Stature estimates are estimates, they are not exact and should always be expressed with range of error.…”

Section: Discussionmentioning

confidence: 99%

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

2018

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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.

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Section: Discussionmentioning

confidence: 99%

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

2018

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“…In a study conducted by Ebraheim et al, 60% cases presented a deeply concave and 40% shallow concave fibular incisura [13]. Several authors have derived linear regressions to estimate the maximum length of long bones from the measurement of its fragments in different populations (10,14,15,16,17].…”

Section: Discussionmentioning

confidence: 99%

Study of Distal Dimensions of Tibia in Correlation With the Length of Tibia

Balakrishnan¹,

Vikram²,

Rao³

et al. 2018

IJAR

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Background: In forensic analysis, the estimation of the stature is key in identification of an individual. The stature of an individual can be estimated from long bones especially the tibia and the femur as these have direct correlation to the height of an individual. The tibia is ideal in this application as it resists erosion and keeps its anatomical shape for long even after burial. Mechanical loading is especially high in the distal ends of long bones of the lower limb and as such they display significant inter-individual differences. The use of distal dimensions in estimation of the length of the tibia from skeletal remains has not been reported.Materials and methods: 150 dry and processed tibias irrespective of side, grossly normal and complete were randomly collected from a medical college of south India. Unossified bones, bones with diseases and injuries have been excluded.Results: In our study, the mean and standard deviation was calculated for each of the dimensions. The results were analysed with simple regression analysis. Pearson's coefficient determined for each parameter and tabulated. Simple linear regression equations were then deduced from the obtained data which would predict the expected maximum length of the bone from its various other parameters.Conclusion: Simple regression equations are deducted from the obtained data, which would predict the expected maximum length of the tibia from its various parameters.

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“…The age range of the subjects in this research is appropriate since stature at 18 years is accepted as adult [29,30]. Some researchers indicated that the foot in a male grows to its adult size by 16 years [31,32]. Hence, the minimum age was fixed as 18 years to conduct this study.…”

Section: Discussionmentioning

confidence: 99%