Estimation of stature from upper limb anthropometry in Iranian population

Akhlaghi, Mitra; Hajibeygi, Marzieh; Zamani, Nasim; Moradi, Behzad

doi:10.1016/j.jflm.2011.12.034

Cited by 49 publications

(66 citation statements)

References 18 publications

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“…This is in line with the findings of Ebite et al [19]. Researchers have also identified some factors which affect this anatomical data (such as; genetic and intrauterine development, feeding pattern and nutritional qualities, geographical location, physical activity and racial difference [14,20]. Therefore it is most welcomed to define the extent of relationship of the various anatomical parts to stature.…”

Section: Discussionsupporting

confidence: 84%

Regression Equations for Stature Prediction in Nigerian Hausas, Igbos and Yorubas From Toe Length and Toe-Length Ratios

As¹,

Gs²,

Didia³

et al. 2017

Anthropol

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Introduction: Prediction of stature from different dimensions has considerable forensic value, not only for the identification of human remains but also in developing descriptions of suspects from evidence at scene of crime and in corroborating height estimates from witnesses. Aims and objectives:The present study deal with stature estimation from toe lengths and toe-length ratios among Nigerians. Methods:A total of 1574 adult Nigerians consisting of Hausas, Igbos, and Yorubas of equal sex were used in the study. Standard anthropometric methods were used to measure height (stature) and toe lengths (from big toe, 1T to the small toe, 5T for both right [R] and left [L] feet). Ten different toe-length ratios were also calculated. Data were analysed using SPSS version 23 (IBM ® Armonk, New York, USA) and Minitab V17 (Minitab ® Inc. State College, Pennsylvania) statistical software. Correlation regression model was used to estimate stature. Confidence level was set at 95%; as p-values ≤ 0.05 were considered significant. Results:The univariate regression analysis showed that the toe lengths were significantly positively correlated and estimates stature (P<0.01), with L.1T had the highest predictive accuracy (R-sq=35.30) and R.5T had the least (R-sq=4.53). The Igbos had the best prediction for stature of the three ethnic groups while the females had the better prediction for stature compared to the males. Toe-length ratios, R2T:5T, R3T:5T, R4T:5T, L2T:5T and L3T:5T of males and R2T:4T, R2T:5T, R3T:5T, L2T:4T, L2T:5T, L3T:4T and L3T:5T of females of the Nigerians significantly correlated positively with stature (P<0.05). While R1T:2T, R1T:3T, R1T:4T, L1T:2T and L1T:3T of males and R1T:2T, R1T:3T, L1T:2T and L1T:3T for females showed significant negative correlation with stature for the general population (P<0.05). However, toe-length ratios prediction accuracy for stature was low (R-sq<2.21). Other ratios did not significantly predicted stature (P>0.05); therefore, there was no regression equation for such variables. Conclusion:This study estimated stature from toe length and toe-length ratios with the better prediction from the toe lengths. It was sex and ethnic specific therefore its usage in forensic investigation must be specific and peculiar to sex and ethnicity.

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Section: Discussionsupporting

confidence: 84%

Regression Equations for Stature Prediction in Nigerian Hausas, Igbos and Yorubas From Toe Length and Toe-Length Ratios

As¹,

Gs²,

Didia³

et al. 2017

Anthropol

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“…In addition, sexual dimorphism was observed in the results and forearm length was longer than female subjects. According to Akhlaghi et al (2012) study, mean the forearm length was longer in male subjects than female subjects. 13 This result confirmed the results of the present study.…”

Section: Discussionmentioning

confidence: 97%

“…According to Akhlaghi et al (2012) study, mean the forearm length was longer in male subjects than female subjects. 13 This result confirmed the results of the present study. However, the mean forearm length obtained from this study was longer than results from their study According to dimorphism, the separated formula were reported for male subjects.…”

Section: Discussionmentioning

confidence: 97%

“…20,21 Various studies were conducted to evaluate the relation between stature and upper limb segments in Iran and other countries. 13,21,22 In this study, 200 subjects were selected randomly from healthy population without skeletal abnormalities from medical students. The mean age was similar in sex groups, and this could help to have a population with normal distributions in age factor.…”

Section: Discussionmentioning

confidence: 99%

“…[10][11][12] According to literature, the relation between stature and upper limb dimensions such as shoulder width, arm, forearm, hand, figures were studied in previous studies. [13][14][15][16][17][18][19] In this study, the relation between forearm length and stature was evaluated by regression equation in Iranian medical students.…”

Section: Introductionmentioning

confidence: 99%

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Stature estimation from forearm length: an anthropological study in Iranian medical students

Poorhassan

Mokhtari

Navid

et al. 2017

J. contemp. med. sci.

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Objective Stature estimation is an important biological factor for forensic medicine to identify an individual. Forearm length can be used for the prediction of the stature in different populations. In the present study, the relation between forearm length and height was evaluated. Methods In a cross sectional study, a sample of 100 males and 100 females (aged 18 to 25 years) medical students from Iranian population was randomly entered into the study. Left forearm was measured by measuring tape. Stature was measured in standard position. The linear regression analysis was used to estimate the relation between forearm length and the stature. Results The mean age of subjects was 22 ± 2.21 years. Mean age of male cases was 22 ± 2.8 years and female cases was 21.9 ± 1.81 years and there wasn't significant difference in the age of sex groups (P = 0.314). A significant differences were recorded in the height and forearm length of subjects between two sex groups (P = 0.0001). There was a correlation between height and forearm length of all subjects (r = 0.643, P = 0.0001). According to the linear regression, there was a relation between height and upper arm length of subject in all cases. Conclusion According to the results, forearm length was a moderate predictor for stature estimation of medical students in Iranian population.

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Backpropagation Neural Network for Sex Determination from Patella in Forensic Anthropology

Afrianty

Nasien

Kadir

et al. 2014

Lecture Notes in Electrical Engineering

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Estimation of stature from upper limb anthropometry in Iranian population

Cited by 49 publications

References 18 publications

Regression Equations for Stature Prediction in Nigerian Hausas, Igbos and Yorubas From Toe Length and Toe-Length Ratios

Regression Equations for Stature Prediction in Nigerian Hausas, Igbos and Yorubas From Toe Length and Toe-Length Ratios

Stature estimation from forearm length: an anthropological study in Iranian medical students

Backpropagation Neural Network for Sex Determination from Patella in Forensic Anthropology

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