Estimation of stature using anthropometry of feet and footprints in a Western Australian population

Hemy, Naomi; Flavel, Ambika; Ishak, Noriza; Franklin, Daniel

doi:10.1016/j.jflm.2012.12.008

Cited by 54 publications

(37 citation statements)

References 31 publications

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“…The reason for taking the adult sample ranging from 25 to 50 years may be due to the fact that generally stature at more than 18 years is accepted as adult although there are small increments in stature after this. 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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“…9 Stature estimates are estimates, they are not exact and should always be expressed with range of error.…”

Section: Discussionmentioning

confidence: 99%

Estimation of Stature using footprints in an adult student population in Nigeria

Ukoha¹,

EgwuOgugua²,

Emmanuel³

et al. 2013

Int J of Biomed & Adv Res

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“…A number of regression equations, both population-specific and sex-specific, have been derived for stature estimation from foot dimensions in various studies [13][14][15][16]. Among the various foot dimensions, foot length was found to be the best parameter for estimation of stature [13,16].…”

Section: Commentarymentioning

confidence: 99%

“…Moreover, due to the protection offered by footwear and the particular feature of their own tissue, the integrity of the pedal elements is more likely to be recovered undamaged in mass disasters [6]. Thus, the foot constitutes a reliable body part up for grabs in forensic investigations for stature estimation.A number of regression equations, both population-specific and sex-specific, have been derived for stature estimation from foot dimensions in various studies [13][14][15][16]. Among the various foot dimensions, foot length was found to be the best parameter for estimation of stature [13,16].…”

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confidence: 99%

Truncated Foot Length: A Potentially More Reliable Foot Dimension for Stature Estimation

Salihu¹,

Gwani²

2017

Clin Res Foot Ankle

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Stature estimation is a vital tool in forensic investigation. It answers the pertinent question of how tall an individual is in an attempt to establish the biological profile of unknown deceased or suspect. The widely used methods of stature estimation in forensic science are the anatomical and the mathematical methods [1]. While the anatomical method is largely abandoned in the light of the obvious difficulty in recovering the complete skeleton in its intact form from a crime or disaster scene, as well as the tedious and time consuming nature of the technique [2], the mathematical method has undergone several refinements and modifications since its inception in order to provide easy-to-use, reliable and consistent regression equations for the estimation of stature. Initially, the mathematical method for stature estimation is mostly achieved using regression equations particularly derived from measurements of long bones of the upper and lower limbs [3,4]. These equations have a reasonable degree of accuracy, although the lower limb bones are more reliable than the bones of the upper limb [5,6]. Nevertheless, such bones are not usually recovered in intact form due to their fragility [6]. Consequently, alternative approaches have been made to derive regression equations from fragmented skeletal materials [7,8]. However, despite such attempts, the fragmented skeletal materials have been found to be less reliable compared to the long bones [9]. The fragmentary materials are also less reliable than the small bones of the body particularly those of the foot [10][11][12]. Moreover, due to the protection offered by footwear and the particular feature of their own tissue, the integrity of the pedal elements is more likely to be recovered undamaged in mass disasters [6]. Thus, the foot constitutes a reliable body part up for grabs in forensic investigations for stature estimation.A number of regression equations, both population-specific and sex-specific, have been derived for stature estimation from foot dimensions in various studies [13][14][15][16]. Among the various foot dimensions, foot length was found to be the best parameter for estimation of stature [13,16]. However, a recent study by AlQahtani has shown that the length of proximal phalanx of the second toe does not show significant correlation with the stature despite the development of predictive regression equation [17]. Accordingly, it is plausible to assume that due to the short nature of the phalanges of the foot, their length may not be accurately proportional to person's stature. Thus, the truncated foot length (foot length without the phalanges) may be more reliable in stature estimation than the total foot length. Furthermore, in a situation where a recovered foot with toes deformities (e.g. claw or hammer toes) is brought for forensic examination to establish the identity of the diseased, truncated foot may offer a more reliable alternative for estimation of stature as the measurement of total foot length may be affected by the deformities.As a follow-...

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Estimation of stature using anthropometry of feet and footprints in a Western Australian population

Cited by 54 publications

References 31 publications

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

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

Estimation of Stature using footprints in an adult student population in Nigeria

Truncated Foot Length: A Potentially More Reliable Foot Dimension for Stature Estimation

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