Estimation of stature and body weight from footprint dimensions among a female population in Ghana

Abledu, Jubilant Kwame; Abledu, Godfred Kwame; Offei, Eric Bekoe; Antwi, E.M.

doi:10.1080/00450618.2015.1045553

Cited by 14 publications

(15 citation statements)

References 13 publications

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“…Several studies support the existence of dimensional sexual dimorphism in footprint morphology [ 6 , 20 , 21 ]. Other studies suggest strong links between footprint dimensions and stature [ 3 , 11 , 13 , 22 – 24 ], body weight [ 12 , 23 , 25 ] and holding weight [ 25 ]. Thus, analysis of footprints can help in the determination of sex and estimation of stature, body weight and holding weight of an individual in forensic investigations.…”

Section: Introductionmentioning

confidence: 99%

Determination of Sex from Footprint Dimensions in a Ghanaian Population

Abledu

Offei

et al. 2015

PLoS ONE

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The present study sought to verify the utility and reliability of footprint dimensions in sex determination in a Ghanaian population. Bilateral footprints were obtained from 126 Ghanaian students (66 males and 60 females) aged 18–30 years at Koforidua Polytechnic using an ink pad and white papers. Seven dimensions–length of each toe (designated T1-T5) from the most anterior point of the toe to the mid-rear heel point, breadth at ball (BAB) and breadth at heel (BAH)–and the heel-ball (HB) index were obtained from each footprint. Some footprint dimensions (i.e. T2, T3, T4 and T5) showed statistically significant bilateral asymmetry in males only. All the footprint dimensions, except HB index, were significantly greater in males than females (p<0.001). Applied singly in discriminant function analysis, the footprint dimensions allowed 69.8%-80.3% of cases to be correctly classified into their sex groups; the accuracy of sex classification was higher using left footprints than right footprints. With all dimensions subjected to stepwise discriminant function analysis 80.3% and 77% of cases could be correctly classified, combining both T5 and BAH for left footprints and T1, BAB and BAH for left footprints respectively. The present study has demonstrated, for the first time among Ghanaian subjects, the utility and reliability of sex determination standards developed from footprint dimensions. The results thus provide the baseline for elaborated studies in the future.

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Section: Introductionmentioning

confidence: 99%

Determination of Sex from Footprint Dimensions in a Ghanaian Population

Abledu

Offei

et al. 2015

PLoS ONE

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“…However, little has been known for its relationship with body weight. A handful of studies tried to estimate body weight from footprint dimensions (Robbins 1986;Krishan 2008;Fawzy and Kamal 2010;Abledu et al 2016). Similarly, gait parameters such as step length and stride length have been explored for their relationship with stature but not with body weight.…”

Section: Discussionmentioning

confidence: 99%

“…However, it can provide a great clue about the physiology of the perpetrator or the victim. It has been suggested that the footprints recovered from a crime scene can reveal a great deal about the body weight of the person (Robbins 1986;Krishan 2008;Fawzy and Kamal 2010;Abledu et al 2016).…”

Section: Introductionmentioning

confidence: 99%

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Estimation of body weight from the base of gait and the area swept in one stride—forensic implications

Singh

Krishan

Kaur

et al. 2018

Egypt J Forensic Sci

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Background: Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the basis of forensic gait analysis. In the absence of CCTV cameras, footprint trails at the crime scene can provide valuable information about the perpetrator. The stature of the perpetrator can be estimated from spatial gait parameters, which can fasten the speed of the identification process. However, previous studies of the spatial gait parameters did not explore the possibility to estimate the body weight from spatial gait parameters. In the present study, two variables of spatial gait parameters, namely "base of gait" and "area swept in one stride," were taken for the estimation of body weight. Methodology: A sample of 388 adult males ranging in age from 18 to 30 years was taken for the present study. The data were collected from villages situated in district Ludhiana, Punjab, North India. Body weight of each participant was taken using a standard methodology. Two spatial gait parameters namely "base of gait" and the "area swept in one stride" were recorded from the dynamic footprints of the participants using the standard methodology and the novel technique devised by one of the authors (BS) respectively. After checking the normality of the data, a parametric t test statistics showed no bilateral asymmetry in both the gait parameters. Results: Spatial gait parameters, i.e., base of gait (left R = 0.255, right R = 0.243) and area swept in one stride (left R = 0.204, right R = 0.221) showed positive, weak, but significant correlation with the body weight of the person. Linear and multiple regression models for the body weight estimation were developed in the present study. The highest accuracy in body weight estimation (SEE = 12.54) was achieved from the left base of gait. The multiple regression models indicate no improvement in the estimation error. Conclusion: It can be concluded from the present study that the body weight of a person can be predicted from the spatial gait parameters to some extent. However, the weak values of the correlation and higher values of estimation error suggest that the base of gait and area swept in one stride should only be used in such situations when other means of body weight estimation cannot be applied.

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“…In such circumstances, various anthropometric methods have been used as a tool to calculate the height of a human being from unknown body parts and skeletal remains by anthropologists, medical scientists, and anatomists, which have been practiced over the last few decades. Consequently, several researchers have tried to figure out the height of the individuals from different body measurements such as foot [5][6][7][8][9], footprints [10][11][12], upper limb [13,14], lower limb [15], hand [9,16,17], handprint [18], knee height [19], long bones [20], and so on. Among these measurements, the stature estimation from long bones becomes imperative, while the direct height measurement is difficult, especially in debilitated, bedridden persons or in persons that may have vertebral column or limbrelated problems [21].…”

Section: Introductionmentioning

confidence: 99%

Stature Estimation Using Ulnar Length and Shoulder Elbow Length in a Bangladeshi Population

Yeasmin

Hossain

Chowdhury

et al. 2020

SN Compr. Clin. Med.

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In forensic science, the stature estimation from different parts of the human body, particularly in personal identification, has gained considerable importance due to mass disasters like cyclones, earthquakes, mass accidents, terror attacks etc. Moreover, clinically stature estimation is also essential to assess physical growth, nutrition, and calculating body surface area. Therefore, the present study was intended to develop the standard formula to evaluate the stature of a person using ulnar length and shoulder elbow length in Bangladeshi adult population. The study was carried out on arbitrarily selected 300 healthy adult individuals (150 males and 150 females). At first, several statistical tests were applied to analyze the collected data. Then, sex-specific simple linear regression, stepwise regression, and multiple regression models were applied to develop the models for estimating the stature based on shoulder elbow length and ulnar length. The results showed the insignificant bilateral differences (p > 0.05) of the ulnar length and shoulder elbow length measurements in both sexes. The coefficients of correlation between stature and all measurements were significantly positive (p < 0.001). In this study, the ulnar length showed a better relationship with stature than shoulder elbow length in both sexes with a lower value SEE and higher values of R and R 2. Also, the multiple regression models gave better results than the simple and stepwise regression models due to higher R values and lower SEE. This study concludes that the ulnar length and the shoulder elbow length are significant parameters to estimate the stature in Bangladeshi adult's population.

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Estimation of stature and body weight from footprint dimensions among a female population in Ghana

Cited by 14 publications

References 13 publications

Determination of Sex from Footprint Dimensions in a Ghanaian Population

Determination of Sex from Footprint Dimensions in a Ghanaian Population

Estimation of body weight from the base of gait and the area swept in one stride—forensic implications

Stature Estimation Using Ulnar Length and Shoulder Elbow Length in a Bangladeshi Population

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