Evaluation of height from multiple long bones is done by several researchers with variable degree of success. Limited literature exists on establishing the correlation between foot length (FL) and height (Ht). The present study was implemented to find out percentage ratio of FL to Ht and to assess the relationship between foot length and height through regression analysis method.Materials and Methods: An observational anthropometric study was done on healthy 500 male and female students with age bracket of 18 to 23 years. Foot length and height measurements were done by appropriate instruments and same expert to avoid observer bias. SPSS (Version 12) software was used for data analysis and correlation coefficients. Multiple regression correlation analysis methods were used to evaluate statistical differences.Results: The mean FL was significantly higher in all age groups of males than that of females (p < 0.001). The correlation coefficient 'r' was statistically significant for majority of age groups (p < 0.01). There was positive correlation between foot length and height and in the study reliable regressive equation was derived. Conclusions:The study reported statistically significant correlation between foot length and height of individuals. The regression equation derived in the study can be utilized effectively for estimation of height in a diverse population group and it would be very useful for personal identification in forensic medicine field and anthropology.

An inclusive study of relationship between lengths of hand and its correlation to height of person provides valuable help in generating biometric database. Limited research exists on morphometric assessment of hand dimensions in Indian population. The objective of the current study was to frame the morphometric database of hand measurements in context of its clinical implications. The generated data can be used in various anthropological studies. A Cross-sectional Indian population-based study was carried out among 500 male and female healthy students after excluding past history of trauma or illness after taking written, informed consent. Hand dimensions were measured by ‘Rod Compass’. The data was processed and analysed in SPSS Version 20 (SPSS Inc., Chicago, IL, USA). Two tailed ‘p’ value of 0.05 was taken as statistically significant. Appropriate statistical tests of significance, correlation coefficients, and multiple regression correlations were computed to evaluate statistical differences. The mean hand length in the females was lower as compared to males who had significantly higher mean hand length in all age groups. The difference was found to be statistically significant (p&#60;0.001). The study revealed positive relationship between hand length and height. Hand dimensions provide good reliability in estimation of stature. This biometric data can be successfully utilized in management of various health ailments.