Estimation of stature from handprint dimensions in Egyptian population

Paulis, Melad G.

doi:10.1016/j.jflm.2015.05.007

Cited by 36 publications

(36 citation statements)

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“…As indicated in Table 1, the highest correlation to stature is hand length for both hand and also for handprint. The populations under study also exhibited that hand and handprint length has the highest correlation to stature in both males and females, similar to previous results in other countries [6], [8], [9]. This proves that the relationship between the two variables of interest does exist and they are in positive correlation.…”

Section: Resultssupporting

confidence: 88%

“…Another impression evidence that is also an important piece of evidence in forensic anthropometry is handprint, where one can obtain information such as height, weight and sex provided by formulae. Several numbers of studies have presented the relation between stature and hand and handprint among different human population utilizing linear and multiple regression analysis [5], [6], [7], [8], [9]. The measurements of hand and handprint showed positive correlation with stature and they also found that hand length and handprint length has the strongest correlation and lowest SEE.…”

Section: Introductionmentioning

confidence: 99%

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Stature Estimation Using Hand and Handprint Dimensions Among Malaysian Population

Khairulmazidah

2018

IJET

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There are various studies of stature estimation which is very important for formulation of biological profile and is population specific. This study was conducted to estimate height using hand and handprint dimensions among Malaysian population. This study comprises 200 voluntary male and 200 voluntary female subjects with age ranging from 20 to 60 years. Eight anthropometric measurements were taken on each hand and its corresponding prints. All the data was statistically analyzed using IBM SPSS Statistic 19 software. The result indicated that hand length and handprint length has the strongest correlation with stature for male and female subjects. However, for unknown gender, it was showed that almost all of the hand dimensions measured in this study except for pinky finger length showed strong correlation with stature for both right and left hand while for handprint measurements, only hand length and palm length gave better correlation with stature. Formulae for stature estimation using various hand and handprint dimensions were derived successfully for both linear and multiple regression for the ease of data availability in future use.

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Section: Resultssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Stature Estimation Using Hand and Handprint Dimensions Among Malaysian Population

Khairulmazidah

2018

IJET

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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: 89%

“…Generally the female's values consistently showed stronger association with stature than the result of males sample in all the studied variables as seen in Table 3 & 4 which is not in tandem with the report of Ishak et al [3] in a Western Australian population, which record irregular stronger correlation coefficient with stature in males and females. Although bilateral limb asymmetry also influenced the relationship with stature when predicting because different sides of the limbs will correlate differently thereby formulating contrasting equations in one individual which may not give accurate results whenever the results of both side are compared [13].…”

Section: Discussionmentioning

confidence: 99%

Stature Reconstruction from Handprint Dimensions in an Adult Nigerian Student Population

Ebe¹

2018

FSAR

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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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“…В мировой литературе последнего времени утверждается мнение о важности морфометрического изучения следов как источника информации, которая может дополнить показания очевидцев или дать новое направление расследованию [5]. Исследования O. Jasuja и G. Singh [6], M. Paulis [7] показали, что степень погрешности при определении длины тела по размерам следов рук находится в пределах допустимых норм. Вместе с тем существуют явные различия в методах измерений, что вызывает вопросы при попытке их воспроизведения [8].…”

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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 handprint dimensions in Egyptian population

Cited by 36 publications

References 30 publications

Stature Estimation Using Hand and Handprint Dimensions Among Malaysian Population

Stature Estimation Using Hand and Handprint Dimensions Among Malaysian Population

Stature Reconstruction from Handprint Dimensions in an Adult Nigerian Student Population

The importance of handprint morphometry for determining the human body length

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