Reconstruction of Stature by Per-cutaneous Measurement of Parts of Upper and Lower Limbs (Distal Part of Upper Limb [Forearm and Hand],Hand,Leg and Foot)

Abstract

Stature is one of the important criteria for establishing identification of unknown person/dead body. It is measured as standing height of the person but reconstruction of stature becomes difficult when dead bodies are mutilated, burnt or skeletonized. Anthropologists throughout the world have tried to estimate stature from bones and mutilated and dismembered remains of dead bodies. Authors under this project tried to reconstruct the stature of 200 healthy students (100 males and 100 females) between 19 and 25 years of age by measuring parts of their upper and lower limbs such as distal part of upper limb (forearm including hand), hand, leg and foot. Standing height and per-cutaneous length of these parts were analysed statistically by using (a) formula $y - \bar{y} = b y x (x - \bar{x})$ , that is, $y = π \frac{δ y}{δ x} (x - \bar{x}) - \bar{y}$ where y stands for standing height and x for length of part of limb and regression equations are derived separately in males and females for all the body parts and (b) multiplication factor, that is, ratio of standing height and length of limb part.

Regression equations and multiplication factors of parts of limbs are summarized as follows:

Body parts	Regression Equation		Multiplication Factor
Body parts	Male	Female	Male	Female
Forearm and hand	2.42x + 56.64	2.31x + 59.5	3.67	3.73
Hand	5.1x + 67.9	4.8x + 70.2	8.5	8.7
Leg	2.34x + 63.9	2.17x + 65.4	3.73	3.73
Foot	3.35x + 82.6	3.42x + 75.8	6.49	6.65

Stature calculated by regression equations and multiplication factors were compared by the actual standing height and it was found that the results of regression equation are close to the actual height that is, ±3 cm. In reconstruction with multiplication factors, the calculated heights were more than ±5 cm in a large number of cases. This shows that multiplication factors are less reliable than regression equation.

Keywords

Standing height regression equation multiplication factor per-cutaneous measurement

Introduction

Reconstruction of stature from bones and mutilated remains is always a challenge for forensic pathologist. Anthropologists, all over the world, are trying to develop a simple and accurate formula for estimation of stature.^1–6 Authors, in a project, tried to reconstruct stature from the parts of upper and lower limbs, that is, from (a) distal part of upper limb (combined length of forearm and hand), (b) hand, (c) leg and (d) foot^7–10 separately in males and females from same participants. A direct correlation was observed between standing height and per-cutaneous length of distal part of upper limb, hand, leg and foot and multiplication factors and regression equations were derived. The authenticity of these formulae was assessed by reconstructing the stature by putting the value of length of respective body parts in regression equation or by multiplying with multiplication factors and compared with actual height.

Materials and Methods

After ethical approval of pilot project, 200 healthy students (100 males and 100 females) of Meerut between 19 and 25 years of age were selected for this study irrespective of their caste, religion, dietary habits and socioeconomic status. Students having significant growth disorders, deformities, bony anomalies and fracture/amputation were excluded to rule out any abnormal result.

After taking consent, the standing height and length of both side of distal part of upper limb (forearm including hand), hand, leg and foot of all the participants were measured. The stature was measured on stadiometer without shoes as a distance between standing surface to the highest point on the head in mid-sagittal plane. The combined length of forearm and hand was measured as distance between the tip of olecranon process and the tip of middle finger by sliding calliper.

The length of hand was measured between the midpoint of wrist to tip of middle finger for which students were requested to put their hand on plane white paper on which tip of styloid process of radius and ulna and tip of middle finger were marked with pencil. A line was drawn between the tips of two styloid processes and the length of hand was measured as the distance between the mid-point of line to tip of middle finger.

For the length of leg, the subject was requested to put his/her leg on a table/stool and distance between the table top to the most prominent point of medial condyle of tibia was measured. The length of foot was measured between the most prominent point of heel to tip of great toe by marking these points on white paper. These measurements were compiled on master chart and also on excel format in computer.

Regression equation was derived by using the formula

\begin{matrix} y - \bar{y} = b y x (x - \bar{x}) \\ = π \frac{δ y}{δ x} (x - \bar{x}) \end{matrix}

$y = π \frac{δ y}{δ x} (x - \bar{x}) + \bar{y}$ , where

y = Standing height (stature)

$\bar{y}$ = Average (mean) of standing heights

x = Length of body part (forearm and hand, hand, leg or foot)

$\bar{x}$ = Average (mean) of length of body part (forearm and hand, hand, leg or foot)

$δ y$ = Standard deviation of standing height

$δ x$ = Standard deviation of length of body part (forearm and hand, hand, leg or foot)

ύ = Co-relation coefficient between standing height and corresponding length of body part

The mean and standard deviation of standing height and mean and standard deviation of length of right and left side of body parts and average of both sides were calculated, from which their correlation coefficient with standing height was derived. Practically there was no significant difference in the lengths of right and left side body parts, and regression equation for the estimation of stature was derived from the average length of both sides separately in male and female. The stature was estimated with the formula $y = π \frac{δ y}{δ x} (x - \bar{x}) + \bar{y}$ as discussed above. Multiplication factor is a ratio of stature and length of body parts (distal part of upper limb, hand, leg and foot). It is calculated separately in male and female. For a particular part of limb multiplication factor is derived by dividing average of standing height with average of length of the part of limb (distal part of upper limb, hand, leg and foot).

Observation and Results

All the measurements were compiled on master chart and also on excel format in computer to calculate minimum, maximum, mean and standard deviation of stature and also of average of length of both side body parts and their correlation coefficient with stature. The data for male and female are summarized in Tables 1 and 2.

Table 1.

Measurement of Stature and Body Parts in Male.

Measurements	Stature (cm)	Average of Length of Bilateral Forearm Including Hand (cm)	Average of Length of Bilateral Hands (cm)	Average of Length of Bilateral Legs (cm)	Average of Length of Bilateral Feet (cm)
Minimum	158.5	41.6	18.05	41.1	22.35
Maximum	184	51.75	22.4	50.50	29.9
Mean	170.9	46.799	20.2	45.74	26.397
Standard deviation	6.00673	2.246602	0.912594	2.3593	1.64135
Correlation coefficient with stature	−	0.904695	0.776181	0.91856	0.914287

Table 2.

Measurement of Stature and Body Parts in Female.

Measurements	Stature (cm)	Average of Length of Bilateral Forearm Including Hand (cm)	Average of Length of Bilateral Hands (cm)	Average of Length of Bilateral Legs (cm)	Average of Length of Bilateral Feet (cm)
Minimum	147.5	38.0	16.1	38.1	21.3
Maximum	167.5	45.15	20.3	46.25	26.1
Mean	156.6	41.9825	18	42.009	23.5775
Standard deviation	4.73963	1.777218	0.79	1.823837	1.146434
Correlation coefficient with stature	−	0.87992	0.79966	0.83531	0.829467

The regression equations for estimation of stature from different body parts, distal part of forearm (forearm and hand), hand, leg and foot in male and female were derived by using formula $y = π \frac{δ y}{δ x} (x - \bar{x}) + \bar{y}$ which is shown in Table 3.

Table 3.

Regression Equation for Body Parts in Male and Female.

Body Parts	Regression Equation
Body Parts	Male	Female
Forearm and hand	2.42x + 56.64	2.31x + 59.5
Hand	5.1x + 67.9	4.8x + 70.2
Leg	2.34x + 63.9	2.17x + 65.4
Foot	3.35x + 82.6	3.42x + 75.8

By putting the value of x in different situations, statures were calculated and compared with the corresponding real standing height. The calculated height in all the four parameters was found close to real standing height, ±3 cm in majority of the cases (Table 4).

Table 4.

Variations in Calculated Stature from Real Standing Height by Regression Equations.

Subject	Standing Height	Body Parts	Corresponding Length (cm)	Regression Equation	Calculated Stature (cm)	Variation in cm
Male	Min. 158.5 cm	Forearm and hand	41.6	2.42x + 56.64	157.3	−1.2
		Hand	18.05	5.1x + 67.9	160.0	+1.5
		Leg	41.1	2.34x + 63.9	160.1	+1.6
		Foot	22.35	3.35x + 82.6	157.5	−1.0
	Max. 184 cm	Forearm and hand	51.75	2.42x + 56.64	181.9	−2.1
		Hand	22.4	5.1x + 67.9	182.7	−1.3
		Leg	50.5	2.34x + 63.9	182.1	−1.9
		Foot	29.9	3.35x + 82.6	182.8	−1.2
Female	Min. 147.5 cm	Forearm and hand	38	2.31x + 59.5	147.3	−0.2
		Hand	16.1	4.8x + 70.2	147.5	0.0
		Leg	38.1	2.17x + 65.4	148.1	+0.6
		Foot	21.3	3.42x + 75.8	148.5	+1.3
	Max. 167.5 cm	Forearm and hand	45.15	2.31x + 59.5	163.8	−3.7
		Hand	20.3	4.8x + 70.2	167.6	+0.1
		Leg	46.25	2.17x + 65.4	165.8	−1.7
		Foot	26.1	3.42x + 75.8	165.1	−2.4

The multiplication factor is calculated as ratio of average of standing height with average length of the parts of both side limbs (distal part of upper limb, hand, leg and foot). It is derived separately in male and female. Multiplication factors of above four parts are shown in Table 5.

Table 5.

Multiplication Factor for Body Parts in Male and Female.

Body Parts	Regression Equation
Body Parts	Male	Female
Forearm and hand	3.67	3.73
Hand	8.5	8.7
Leg	3.73	3.73
Foot	6.49	6.65

Statures were calculated from the per-cutaneous measurements of part of limbs by multiplying the multiplication factor and compared with the corresponding real standing height. The calculated height in all the four parameters was more than ±5 cm to real standing height in large number of cases (Table 6). Thus, regression equations are more reliable in reconstruction of stature than the calculation done by using multiplication factors, which is less consistent with actual height.

Table 6.

Variations in Calculated Stature from Real Standing Height by Multiplication Factor.

Subject	Standing Height	Body Parts	Corresponding Length (cm)	Multiplication Factor	Calculated Stature (cm)	Variation in cm
Male	Min. 158.5 cm	Forearm and hand	41.6	3.67	152.67	5.83
		Hand	18.05	8.5	153.43	5.07
		Leg	41.1	3.73	153.30	5.20
		Foot	22.35	6.49	145.05	13.45
	Max. 184 cm	Forearm and hand	51.75	3.67	189.92	−5.92
		Hand	22.4	8.5	190.40	−6.40
		Leg	50.5	3.73	188.37	−4.37
		Foot	29.9	6.49	194.05	−10.05
Female	Min. 147.5 cm	Forearm and hand	38	3.73	141.74	5.76
		Hand	16.1	8.7	140.07	7.43
		Leg	38.1	3.73	142.11	5.39
		Foot	21.3	6.65	141.65	5.85
	Max.167.5 cm	Forearm and hand	45.15	3.73	168.41	−0.91
		Hand	20.3	8.7	176.61	−9.11
		Leg	46.25	3.73	172.51	−5.01
		Foot	26.1	6.65	173.57	−6.07

Discussion

Estimation of stature is a crucial requirement in post mortem examination of dead bodies especially when they are un-identified and badly decomposed, mutilated or skeletonized. A direct relationship was observed between length of different part of upper and lower limbs and standing height by different workers.^11–13 A direct relationship was observed between standing height and the length of distal half of upper limb (combined length of forearm and hand) in a study by Sushil et al.¹⁴ and multiplication factor is nearly similar to our study. The similar results were also observed in other studies observed for the estimation of stature from dimensions of hand and foot.^15–19 Regression equations and multiplication factors are derived separately for males and females. The length of right and left side of limbs or their parts are almost the same in most of the cases and so are the regression equations and multiplication factors for both side arms. So, the role of right and left side measurements in determination of stature is statistically insignificant. The calculated stature from regression equations of body parts was close to actual height, less than +/−3 cm in most of the cases. With multiplication factors, when statures were calculated, the errors varied from −10.05 cm to +13.45 cm, of which the difference of more than +/−5 cm was seen in large number of cases. Hence, multiplication factors are statistically inferior and less reliable than regression equations.

Conclusion

There is a direct relationship between standing height and length of upper and lower limbs in both the sexes.

Regression equations and multiplication factors are most often used to reconstruct stature.

Regression equations and multiplication factors are derived separately in male and female for the reconstruction of stature from the length of distal part of arm (combined length of forearm and hand), hand, leg and foot.

Calculated statures from regression equations are close to the actual height, less than +/−3 cm in most of the cases.

Calculated statures from multiplication factors, the errors vary from −10.05 cm to +13.45 cm, of which the difference is more than +/−5 cm in large number of cases.

Regression equations are statistically superior and more reliable than multiplication factors.

Footnotes

Declaration of Conflicting Interests

The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

Ethical Approval

The ethical approval has been obtained from the ethics committe for the study.

Funding

The authors received no financial support for the research, authorship and/or publication of this article.

Informed Consent

Not applicable.

References

Pearson

Mathematical contributions to the theory of evolution. V. On the reconstruction of the stature of prehistoric races. Phil Trans Roy Soc London 1899; 192: 169–244.

Trotter

and Gleser

GC.

Estimation of stature form long bones of American Whites and Negroes. Am J Phys Anthropol 1952; 10: 463–514.

Pan

Lengths of long bones and their proportions to body height in Hindus. J Anat 1924; 58: 374–378.

Nath

BS.

Estimation of stature from long bones in Indians of the United Provinces: A medico-legal inquiry in anthropometry. Indian J Med Res 1931; 18: 1245–1263.

Siddiqui

MAH

and Shah

MA.

Estimation of stature from long bones of Punjabis. Indian J Med Res 1944; 31: 105–108.

Brues

AM.

Identification of skeletal remains. J Crim Law Crimon Pol Sci 1958; 48: 551–563.

Amit

, Srivastava

and Verma

AK.

Estimation of stature by percutaneous measurements of distal half of upper limb (forearm & hand). J Indian Acad Forensic Med 2010; 32(4): 325–328.

Amit

, Srivastava

and Rastogi

AK.

Estimation of stature by percutaneous measurements of leg (Knee to Heel). Int J Forensic Pract Res 2011; 1(2): 83–87.

Srivastava

, Ankita

, Amit

, . Reconstruction of stature by percutaneous measurement of foot: An anthropometric study. Indian Int J Forensic Med Tox 2013; 11(3): 59–62.

10.

Srivastava

, Aditi

, Amit

, . Reconstruction of stature by per-cutaneous measurement of hand: an anthropometric study. Indian Int J Forensic Med Tox 2017; 15(2): 29–33.

11.

Nath

and Kaur

Reconstruction of stature through per-cutaneous measurement of upper and lower limbs bone lengths among Rajputs of district Sirmour Himachal Pradesh. South Asian Anthropol 1998; 19(2); 57–62.

12.

Kolte

and Bansal

PC.

Determination of regression of formulae for reconstruction of stature from the long bones of upper limbs in Maharashtrian of Marathwada region. A Anat Soc India 1974; 23: 6–11.

13.

Patel

, Joshi

and Dangre

Regression equation of height on tibial length. Indian J Med Res 1964; 52: 531–534.

14.

Sushil

, Srivastava

and Sahai

MKB.

Estimation of stature by anthropometric examination of forearm and hand. J Indian Acad Forensic Med 2010; 32(1): 62–65.

15.

Kumar

, Dikshit

, Aggrawal

, . Estimation of stature from hand length. J Indian Acad Forensic Med 2005; 27(4): 219–221.

16.

Krishan

and Sharma

Estimation of stature from dimensions of hands and feet in North Indian Population. J Forensic Legal Med 2007; 14(2): 127–132.

17.

Agnihotri

, Purwar

, Googoolye

, . Estimation of stature by foot lengths. J Forensic Legal Med 2007; 14(5): 279–283.

18.

Jakhar

, Vijai

Pal

and Paliwal

PK.

Estimation of height from measurement of foot length in Haryana region. J Indian Acad Forensic Med 2010; 32(3): 231–233.

19.

Philip

TA.

Reconstruction of stature from foot outline and foot print size. J Indian Acad Forensic Med 1989; 11: 15–20.