International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Volume 8 Issue 5
September-October 2026
Indexing Partners
Estimation of Stature from Hand and Foot Anthropometric Measurements: An Observational Study
| Author(s) | Vandana Tomar, Dr. Manish Gupta, Dr. Rajendra Singh |
|---|---|
| Country | India |
| Abstract | Background: Stature estimation is important in forensic investigations, anthropological studies, and medicolegal examinations, particularly when complete skeletal remains are unavailable. Hand and foot anthropometric measurements provide useful alternatives for estimating stature. Aim and Objectives: To assess the relationship between stature and selected hand and foot dimensions, compare anthropometric measurements between males and females, and develop regression equations for stature estimation in the Central Indian population. Materials and Methods: A cross-sectional observational study was conducted among 400 adults, comprising 200 males and 200 females, at Index Medical College Hospital and Research Centre, Indore, Madhya Pradesh, from January 2023 to July 2026. Stature and selected hand and foot measurements were recorded using standardized techniques. Data were analyzed using descriptive statistics, Pearson’s correlation, and linear and multiple regression analyses. Results: Mean stature was 170.8 ± 6.5 cm in males and 158.8 ± 5.8 cm in females. Males showed significantly higher anthropometric measurements than females (p < 0.001). Right foot length demonstrated the strongest overall correlation with stature (r = 0.84), followed by left foot length (r = 0.83) and righthand length (r = 0.78). Right foot length explained 51.8% of stature variation in males and 56.3% in females. The best multiple regression model, incorporating hand length, foot length, middle finger length, and foot breadth, explained 82.4% of stature variation, with a standard error of estimate of 3.51 cm. Conclusion: Hand and foot anthropometric measurements are useful for stature estimation in the Central Indian population. Foot length was the strongest individual predictor, while combining multiple measurements improved predictive accuracy. |
| Keywords | Stature estimation; Anthropometry; Hand length; Foot length; Regression analysis; Forensic identification. |
| Field | Medical / Pharmacy |
| Published In | Volume 8, Issue 5, September-October 2026 |
| Published On | 2026-10-26 |
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E-ISSN 2582-2160
CrossRef DOI prefix of IJFMR is 10.36948/ijfmr
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