Prediction of stature from hand length and breadth – anthropometric study on an adult Cross River State population

Oria, Rademene; Igiri, Anozeng Oyono; Egwu, Ogugua Augustine; Nandi, Micheal Ebe

doi:10.4103/2315-7992.190462

Cited by 14 publications

(9 citation statements)

References 1 publication

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“…The present study showed that the higher the standard error of estimates the lower the accuracy and reliability of prediction; while the lower the error, the higher the precision. This agrees with the work of Krishan et al [9] and Oria et al [16]. The finding of Pal et al [25] also estimated stature from hand dimensions in a Bengali population, West Bengal.…”

Section: Discussionsupporting

confidence: 90%

Derivation of Regression Equations for Stature Reconstruction from Digit Lengths of Nigerian Medical Students in University of Lagos

Nandi

Okubike

Obun

et al. 2017

AJFSFM

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Sciences www.nauss.edu.sa http://ajfsfm.nauss.edu.sa Arab Journal of Forensic Sciences & Forensic Medicine female) of Nigerian parentage aged 18 to 36 years was recruited for this research. Stature and digit lengths were measured following standard procedures, followed by statistical analysis using SPSS (Version 20 Chicago Inc). Results showed an average stature of 176.36 ± 8.13cm, 164.38 ± 6.62cm and 169.59 ± 8.79cm for males, females and a pooled sample, respectively. Sexual dimorphism was observed to be statistically significant (p < 0.01) across all the measured parameters, with greater values consistently recorded in males. Pearson correlation (r) had a range of 0.40 to 0.63. The weakest r-value is seen in males and the strongest in females. Simple and multilinear regression equations derived showed different values of coefficient of determination (R 2) and standard error of estimate (SEE) at an accurate estimation rate of >99%. Digits correlation with stature found in this study may be of great relevance in human identification.

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Section: Discussionsupporting

confidence: 90%

Derivation of Regression Equations for Stature Reconstruction from Digit Lengths of Nigerian Medical Students in University of Lagos

Nandi

Okubike

Obun

et al. 2017

AJFSFM

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“…Body mass, body mass index and body fat percentage were calculated with a Tanita BC 545 N device (Tanita Corp., Japan). Hand measurements were taken with a sliding calliper [8]. Hand length was assessed from the midpoint of the interstylon line to the tip of the middle finger.…”

Section: Methodsmentioning

confidence: 99%

The relation between selected anthropometric variables and the sports results of early pubescent swimmers

Bielec¹,

Jurak²

2019

Balt J Health Phys Act

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Background: Relations between anthropometric parameters and sports results in swimming are well documented, but only few studies concern young athletes. Scientific evidence do not indicate definitely, which anthropometric variables determine swimming performance among pubertal athletes. Material and methods: Forty one swimmers at the mean age of 12.2 years (including 15 females) were examined. Body composition was assessed by Tanita BC 545N device. Body height, hand length, hand width and arm span were also determined. Anthropometric data were compared to results of 50 m freestyle and 200 m individual medley. Results: Calculations made by Pearson's coefficient revealed significant liaisons between body height, arm span and hand length towards freestyle results. Relationships between anthropometric measurements and 200 m individual medley results were essential only in boys. The other variables showed week and insignificant correlations with sports results.Conclusions: Results of our study suggest that in early adolescence body height and upper limb dimensions affect swimming performance much more than body composition.

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“…This study was an attempt to provide a database for a Nigerian adult population by providing regression equations that are particluar to people of Nigerian decent. This database may be used whenever stature reconstruction is needed as a means of human identification in cases of disaster for victim identification and biological profiling [3,25].…”

Section: Discussionmentioning

confidence: 99%

Stature Reconstruction from Percutaneous Anthropometry of Long Bones of Upper Extremity of Nigerians in the University of Lagos

Nandi

Olabiyi

Ibeabuchi

et al. 2018

AJFSFM

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Anthropometric databases are essential in biological pro- This study presents a simple and reliable approach to predict stature, which may help forensic scientists in disaster victim identification and in medico-legal jurisprudence. has become necessary for regression formulae to be documented which will serve as reference points. Hence, the present study on stature reconstruction from percutaneous long bones of adult Nigerian medical students at the University of Lagos was carried out. Materials and Methods Ethical ApprovalIn order to carry out this study, ethical approval was Informed ConsentA signed informed consent was obtained from for all participants. First, the procedure for measurement, purpose for the research and possible personal benefits were explained to the participants through information contained in the official informed consent document. All participants received a guarantee of respect and preservation of their personal information, anonymity throughout the measurements and the right to withdraw, if so desired, at any stage for any reason. Study DesignThe present study sample comprises 230 (100 males and 130 females) undergraduate and post-graduate medi-

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Prediction of stature from hand length and breadth – anthropometric study on an adult Cross River State population

Cited by 14 publications

References 1 publication

Derivation of Regression Equations for Stature Reconstruction from Digit Lengths of Nigerian Medical Students in University of Lagos

Derivation of Regression Equations for Stature Reconstruction from Digit Lengths of Nigerian Medical Students in University of Lagos

The relation between selected anthropometric variables and the sports results of early pubescent swimmers

Stature Reconstruction from Percutaneous Anthropometry of Long Bones of Upper Extremity of Nigerians in the University of Lagos

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