Estimation of stature from hand dimensions in Bengalee population, West Bengal, India

Prediction of Body Height Using Hand Length and Hand Breadth in Pharmacy and Nursing Students at Misrake Ghion College, Northeast Ethiopia: An Anthropometry Study

Objectives

To predict body height using hand length and hand breadth in pharmacy and nursing students at Misrake Ghion College, Northeast Ethiopia.

Methods

A cross-sectional prospective study was conducted from October 15 to January 20, 2021. The study was carried out on 316 students (160 males and 156 females). The study participants were from the Amhara ethnic groups, with the age range of 18 to 25 years. Body height, hand length, and hand breath were measured and analyzed using SPSS version 23. The strength of association was evaluated using correlation analysis. The significance level was set at p < 0.05. A paired sample t test was performed. Regression equations were derived using simple and multiple linear regression analysis.

Results

Hand length and hand breadth had a positive significant correlation with body height in both male and females. In both males and females, left hand length had a strong significant correlation (males r = 0.768, females r = 0.670), followed by right hand length (males r = 0.711, females r = 0.626). Regarding hand length, right hand breadth (males r = 0.671, female r = 0.438) and left hand length (males r = 0.504, females r = 0.525). There was a significant bilateral difference in hand length and hand breadth on its right and left sides (p < 0.05). Simple and multiple regression equations were formulated for each sex.

Conclusion

In both males and females, body height can be estimated from hand length and breadth using simple or multiple regression equations.

Estimation of stature with the help of tooth length using cone beam computed tomography

Introduction and Aim: Stature is the primary tool in personal identification for forensic and physical anthropology for over a period. In the absence of full skeleton, the stature can be estimated from various skeletal components. Utilizing cranium and dentition measurements is simpler as these structures are fixed, grown and straight forward to locate. Few researches had been undertaken to establish the efficacy of teeth dimensions in height assessment. But we could not come across any such studies on tooth length. So, the present research was conducted to estimate the stature from tooth length using Cone Beam Computed Tomography (CBCT).   Materials and Methods: Tooth lengths of all 4 canines were measured on digital CBCT using inbuilt software Planmeca Romexis® Software (Helsinki, Finland). Height was considered as measurement of length, from the head to toe using standard height chart. Pearson correlation test and linear regression analysis was used as a statistical tool for co-relation co-efficient and population specific formula for height assessment.   Results: There was a very good correlation between tooth length and stature, with r value 0.12-0.81 and p value less than 0.05. The length of the mandibular right canine had better correlation with stature followed by mandibular left canine, maxillary left canine and maxillary right canine. Regression equation was developed from tooth length, to predict stature.   Conclusion: Tooth length measuring using CBCT has a very good correlation with the height of the individual, as it is closer to actual length. Combined data, without sex as a parameter provides more accurate prediction. However, predication accuracy was better in females than males, when gender considered as a parameter in the regression analysis.

A multivariate analysis to propose linear models for the stature estimation in the Sabahan young adult population

Background

Stature is one of the significant parameters to confirm a biological profile besides sex, age, and ancestry. Sabah is in the Eastern part of Malaysia and is populated by multi-ethnic groups. To date, limited studies on stature estimation have been conducted in Sabah. Hence, this study aims to construct population-specific stature estimation equations for the large ethnic groups in Sabah, Malaysia.

Objective

The aim is to propose linear models using different hand dimensions (hand span, handbreadth, hand length, middle finger length, and the second inter-crease in the middle finger) for the young adult male and females of the major ethnic groups in Sabah.

Materials & methods

This cross-sectional study framework used stratified random sampling on 184 male and 184 female young adults. An unpaired t-test and a one-way ANOVA were used to assess the differences in the mean between sex and ethnicities, respectively. The link between the response variable and explanatory variables was initially investigated using simple linear regression, followed by multiple linear regression.

Result

The present study demonstrated the highest association for the quantitative explanatory variables among hand length and stature (right side: r = 0.833; left side: r = 0.842). Simple equations were specifically developed without sex indicators, and ethnic and multiple linear regression was developed with sex and ethnic indicators. Multiple linear regression provided good estimation r² = 0.7886 and adjusted r² = 0.7853. The stature of 18 to 25 year old large ethnic groups in Sabah can be estimated using the developed models 90.218 + 3.845 LHL -5.950 Sex—2.308 Bajau -1.673 KadazanDusun + 2.676 L2ICL. While, formula for each ethnic and sex KadazanDusun Male: Stature = 88.545 + 3.845 LHL+ 2.676 L2ICL, KadazanDusun Female: Stature = 82.595 + 3.845 LHL+ 2.676 L2ICL, Bajau Male: Stature = 87.910 + 3.845 LHL+ 2.676 L2ICL, Bajau Female: Stature = 81.960 + 3.845 LHL+ 2.676 L2ICL, Malay Male: Stature = 90.218 + 3.845 LHL+ 2.676 L2ICL, Malay Female: Stature = 84.268 + 3.845 LHL+ 2.676 L2ICL, Chinese Male: Stature = 90.218 + 3.845 LHL+ 2.676 L2ICL, and Chinese Female: Stature = 84.268 + 3.845 LHL+ 2.676 L2ICL.

Conclusion

The study reports anthropometric data and formulas for measuring the stature of major ethnic groups in Sabah, which can be used to compare future work.

Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males

Background

The stature of a living human reflects the nutritional, genetic, and disease patterns of individual experiences. This study adopted a simple linear regression method and R2 values to identify the preferred model for stature estimation based on the lengths of the arm, radius, ulna, and hand; breadth of the hand; and circumference of the wrist of the adult Bangladeshi male population. This cross-sectional study was performed in the Anatomy Department of Sir Salimullah Medical College, Dhaka, from January 2009 to June 2011. One hundred right-handed adult Muslim Bangladeshi males aged 25 to 45 years participated in the study.

Results

The regression model using right and left ulnar length explained 63% of the measured stature with the least standard error of the estimate (0.435 and 0.436), the model using left and right arm length explained 60%, the model using left and right radius length explained 51%, and the model using left- and right-hand length explained 44% of the measured stature. However, the models using left and right handbreadth and wrist circumference explained only 11 to 13% of the measured stature with a higher standard error of the estimate (6.66 to 6.73). For 25- to 45-year-old Bangladeshi Muslim males, the ulnar length of both sides was the best predictor of stature.

Conclusions

Linear regression equations in estimating stature effectively may encourage its application in future studies addressing different age groups, sexes, nutritional statuses, religions, and ethnicities of Bangladesh.

Stature estimation from handprint measurements: an application to the medicolegal investigation

Background

The estimation of the stature of human beings is a major part of medicolegal investigation when only body parts are found. The study aimed to estimate the stature from different handprint measurements in a Bangladeshi population using statistical considerations. A sample of 200 young Bangladeshi adults (100 men and 100 women) with no physical disabilities participated in this study. Stature and seven anthropometric measurements were measured using standard anthropometric measurements. The bilateral asymmetry was tested using the independent t test. The Pearson’s correlation coefficient (R) between the stature and different handprint measurements was calculated. Consequently, the simple and multiple linear regression models were developed to estimate the stature from the handprint measurements.

Results

The bilateral asymmetry was statistically not significant (p > 0.05) in right and left handprints. Sex difference significantly (p < 0.05) influences the relationship between stature and handprint measurements. A positive and strong coefficient of correlation (R) value presents between stature and the handprint measurements. The right 2^nd digit length in men (R = + 0.709, R² = 0.502, SEE = ± 44.141 mm) and the right handprint length in women (R = + 0.552, R² = 0.305, SEE = ± 49.074 mm) were the most reliable estimator of stature. However, when data were combined for both sexes, the right handprint length was identified as the most reliable estimator of stature with higher values of R (+ 0.777) and R² (0.603), and a lower value of SEE (± 55.520). Multiple regression equation showed greater reliability than linear regression equations in stature estimation from handprint measurements in Bangladeshi population.

Conclusions

It was concluded that the estimation of stature from handprint measurements is possible and reliable. The findings of this study are very useful from the forensic and medicolegal point of view and can use to estimate the stature in Bangladeshi population.

Stature estimation from hand anthropometric measurements in Bangladeshi population

The aim of this research was to generate a standard formula for estimating stature in the Bangladeshi population from hand anthropometric measurements. Arbitrarily selected a total of 150 male and 150 female healthy subjects within the age range 18-60 years participated in this study. Stature and nine hand parameters were taken using a standard tape and a digital slide calipers for each subject. The results indicate that in male Bangladeshi population, the bilateral variation of hand length, hand breadth, maximum hand breadth, palm length, thumb length, ring finger length, and little finger length was statistically not significant (p > 0.05). On the other hand, in female, bilateral difference of hand length, hand breadth, palm length, index finger length, middle finger length, ring finger length, and little finger length was statistically insignificant (p > 0.05). All hand dimensions were statistically significant (p < 0.001) and positively correlated with stature. Linear and multiple regression equation were used to estimate stature from hand anthropometric measurements. The accuracy of the determination of stature using hand dimensions ranged from ±3.688 to ±6.112 cm. Right-hand length was the most reliable single variable in both sexes in simple linear regression (SSE ±5.347 cm in male and ±3.688 cm in female). The multiple regression models were more reliable than the linear regression models as a lower SSE and higher R and R-square values. In conclusion, our present study has a great importance to estimate stature from hand measurements among Bangladeshis from the anatomical and forensic point of view.