| ORIGINAL ARTICLE |
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| Year : 2015 | Volume
: 4
| Issue : 3 | Page : 154-159 |
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Estimation of stature from hand length and hand breadth in medical students of Maharashtra, India
MS Supare1, SV Pandit1, AS Bagul2
1 Department of Anatomy, SVN Government Medical College, Yavatmal, India
2 Department of Pediatrics, Government Medical College, Nagpur, Maharashtra, India
Correspondence Address:
A S Bagul
Department of Pediatrics, Government Medical College, Nagpur - 440 003, Maharashtra
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/2278-344X.160875
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Background: For identification, stature can be estimated from body parameters using regression equation or multiplication factor. However, regression equations and multiplication factors are specific for the region only and same formulae cannot be used in all population. Aim: To formulate regression equation and multiplication factor for estimation of stature from hand length (HL) and hand breadth (HB) for a region in Maharashtra, India. Materials and Methods: It was a cross-sectional study and 400 students of three Government Medical Colleges of Maharashtra, aged 18-24 years were enrolled for the study during 2011-2013. Stature, HL, and HB were measured and subjected to statistical analysis. Unpaired t-test and simple linear regression were used. Results: Stature, HL, and HB of 400 medical students (219 males and 181 females) were measured. Subjects were divided into six groups depending upon age. Simple regression equation and multiplication factor for male and female, and for each age group were derived for estimation of stature. We found correlation coefficient (R) of 0.74 for right HL (RHL), 0.75 for left HL (LHL), 0.45 for right HB and 0.46 for left HB in male, and 0.75 for RHL, 0.74 for LHL, 0.56 for right HB and 0.55 for left HB in female by using simple regression, which showed strong correlation between stature and HL, and HB. Conclusion: Stature can be accurately estimated from HL and HB by using simple regression equation or multiplication factor. |
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