Estimation of Stature from Hand Measurements and Handprints in a Sample of Saudi Population

Kornieieva, Maryna; El-Elemi, Azza H.

doi:10.12816/0026461

Cited by 8 publications

(13 citation statements)

References 23 publications

(40 reference statements)

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“…The current research recorded lower SEE in handprints dimensions in females than males (Table 5), this correspond with the values of the coefficient of determination (R2) seen in Table 5 for multiple equations and Graphs 1-8 for simple equations which conforms with the data of Krishan et al [9] among Panjab Medical students in India, the work of Sangeeta et al [11] on Rajasthan population, that of Paulis [13] in an Egyptian population and that of Kornieieva & Elelemi [12] in a Sample of Saudi Population which all reconstructed Stature from Handprints parameters and found contrasting values for Pearson correlation coefficient (r), coefficient of determination (R2) and standard error of estimate (SEE) between stature and handprint parameters which is a pointer that no two populations have the same values for body parameters. These variations further buttress the fact that every region needs a population-specific regression equation for prediction of stature.…”

Section: Discussionsupporting

confidence: 82%

“…Sexual dimorphism was observed with higher values consistently recorded in male cases than their female counterpart in all the measured parameters for both left and right hand sides (Table 1 & 2). This results did not record exact values for left and right hand sides but when subjected to paired sample t-test, bilateral handprints asymmetry were not statistically significant which contradict the findings of Ishak et al [3], Krishan et al [9] and Kornieieva & Elelemi [12] on handprints variables which reported significant statistical (p<0.05) difference between left and right handprint values in both sexes. Thus, Kornieieva & Elelemi [12] further proposed that hand dominance plays a vital role in bilateral limb asymmetry.…”

Section: Discussioncontrasting

confidence: 75%

“…The remnants and evidences available at crime scene or catastrophes can provide adequate information concerning the biological profiles of unknown persons [12].…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…There is still limited biometric data on handprints of Nigerians which aid in human identification. Although recent literature have demonstrated that anthropometry of the handprints has considerable promise for the accurate and reliable reconstruction of stature; but the technique has only been tested in a relatively limited range of populations [11,12].Therefore it is very imperative for alternative methods of formulating models that can serve as a benchmark in forensic science. Thus, the present study was an attempt to design and set up a forensic database that can predict stature of Nigerian adults from handprints dimensions.…”

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confidence: 99%

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2018

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Background: On regular basis, crimes are committed and the perpetrators of such offences roam the streets unidentified because of insufficient evidence to connect the suspect to the crime. Therefore handprints hold a cardinal role in linking offenders to crimes and its correlation to stature cannot be undermined as it widens the prospect and precision of human identification in medico-legal investigations. Objective:The objective of the current study is to derive regression models that will predict stature from hand prints parameters amongst Nigerian adults. Subjects and method:This cross-sectional research comprises of a total sample size of 230(100 males and 130 females) healthy adult Nigerians, aged between 18 to 36 years. This study employed direct and indirect method to acquire handprints dimensions (Handprint Length, Breadth, palm print length and digit length of left and right hand) following standard procedures. The data derived were subjected to series of statistical analysis using Statistical Package for Social Sciences (SPSS version 20 Chicago Inc) including descriptive statistics, independent and paired sample t-test, Pearson moment correlation coefficient and Durbin Watson regression. Results:The present results for stature records 176.36±8.13cm and 164.38±6.62 for males and females sample respectively. Values of handprints dimension showed a range of positive Pearson moment correlation coefficient (r) of 0.31 to 0.73 which represent weak to strong r value. The regressions formulas derive were observed to be more reliable in multiple linear regression equations when reconstructing stature than single linear equation due to different levels of standard error of estimates (SEE) and coefficient of determination (R2) using>99% accurate estimation rate of the equations. Conclusion:The regression models derived can effectively reconstruct stature which may be useful to a forensic expert saddled with the task of human identification among disaster victims or crime scene. in forensic sciences as it concerns human identification cannot be overemphasized, because often than non assassination occur and sometimes the assassin choose to strangle the victim without gloves or handprints seen on door handles or guns left at crime scenes can help the investigator to trace down the identity of the person first by estimating stature which is vital but inexpensive tool. KeywordsThe development of height is a very sensitive trait, depending on a number of factors such as sex, age, race, body composition, socio-economical status and secular happenings. The proportions of its particular components (extremities, trunk) also reveal great variability [9]. For this reason, the application of the best and one specific formula to a particular population for other groups is very difficult and unaccepted as different regions posses their peculiar characteristics [9][10][11].In developing countries like Nigeria where this study was carried out, stature reconstruction from handprints dimensions has received little attention...

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Section: Discussionsupporting

confidence: 82%

Section: Discussioncontrasting

confidence: 75%

“…The remnants and evidences available at crime scene or catastrophes can provide adequate information concerning the biological profiles of unknown persons [12].…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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2018

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Forensic Application of Hand and Foot Biometrics as Models for Height, Weight and Sex Determination Among Ghanaians

Okwan¹,

Abaidoo²,

Tetteh³

et al. 2020

IJAR

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Hand and footprints recovered from crime scenes are important for identification in criminal investigations. Unlike Ghana, developed countries have well-established data on population-specific hand and footprint dimensions for identification in anthropometric, biometric and forensic studies. This study therefore aimed at determining the relationship between hand and footprint dimensions, height, weight and sex in Ghana. A total of 118 participants aged 17 to 35 years participated in the study. Height, weight, hand and footprint dimensions were taken and analysed. Males were significantly taller, heavier and had generally greater anthropometric parameters than females. Generally, in both hand and footprint dimensions, bilateral asymmetry existed with the right parameters being greater than the left parameters. However, the left handprint length was longer than the right. The best parameters for height estimation were left handprint length and left pternion-toe 1 length. The best predictors of weight were right handprint length and breadth, right pternion-toe 2 length, right footprint breadth at heel and right heel-ball index. The most sexually dimorphic parameters among the hand and footprint dimensions were right hand breadth, left footprint breadth at ball and left pternion-toe 1 length. Overall, footprint dimensions were better estimators of height and weight while handprint breadth predicted sex best.

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The importance of handprint morphometry for determining the human body length

Grigor'eva¹

2018

Sud.-med. ekspert.

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13 equations of multiple regression were obtained and analyzed. The standard error of estimating (SEE) varied from 4.30 to 5.19 cm. The best results were obtained with the equations constructed from the sizes I, II, and III of the rays without their distal phalanges. It was shown that the body length can be successfully reconstructed within the height range from 168 to 183 cm for men and from 157 to 176 cm for women. The examples of the use of the equations for the purpose of expertise of illegible and incomplete handprints are presented.

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Estimation of Stature from Hand Measurements and Handprints in a Sample of Saudi Population

Cited by 8 publications

References 23 publications

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Forensic Application of Hand and Foot Biometrics as Models for Height, Weight and Sex Determination Among Ghanaians

The importance of handprint morphometry for determining the human body length

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