The study was conducted to create specific formulae for stature estimation of adult male population in Malaysia based on measurements of femur, tibia and fibula lengths using radiographic method. A number of thirty two Malaysians from hospitals involved as subjects in this study. The subjects were Malays (14), Chinese (8) and Indians (10) from 25-45 years old. The standing height of the subject was recorded before femur, tibia and fibula were scanned with an x-ray machine. The bones length was measured on the x-ray film in centimetres (cm) and analysed using Statistical Package for Social Sciences (SPSS) version 19.0 for Windows. The results showed a significant relationship (p < 0.05) between stature and measurements of length of femur, tibia and fibula. Stature of Malays and Indians were significant (p < 0.05)with measurements of length of femur, tibia and fibula but insignificant in Chinese. Simple Linear Regression Analysis was used to derive regression equation for single bone and Multiple Linear Regression Analysis was used to derive regression equation for combination of femur, tibia and fibula. Six formulae for stature estimation of adult male population in Malaysia were derived. The formulae consist of three formulae for single bone, a formulae for combination bones with unknown race, a formulae for combination bones of Malays population and a formulae for combination bones of Indians population. Formulae for combination bones had the highest correlation coefficient compared to the formula using a single bone. Standard error was found to be high in all the formulae due to small sample size. Extension for this study is essential to provide Malaysia with accurate formulae.

The aim of this study was to develop formulae for stature and sex estimation using foot length and foot width. A total of 150 subjects ranging in age from 20 to 30 years were recruited from Universiti Kebangsaan Malaysia Kampus Kuala Lumpur (UKMKKL). The subjects were Malays (45 males and 45 females) and Chinese (30 males and 30 females). Stature, foot length and foot width were measured using anthropometric instruments in millimetres. Statistical analysis indicated that bilateral variation of various lengths was insignificant for all the foot measurements (Foot length/FL: t(298) = -0.235, p = 0.815; Foot width/FW: t(298) = 0.932, p = 0.352). Sex differences were found to be highly significant for all the measurements (Stature/S: t(148) = 12.550, p < 0.05; FL:t(148) = 11.692, p < 0.05; FW:t(148) = 8.321, p < 0.05). Stature was highly significant in Chinese rather than Malay (t(148) = -3.103, p < 0.05) but no significant differences were found in all the foot measurements (FL: t(148) = 0.002, p = 0.999; FW:t(148) = 1.362, p = 0.175). The highest correlation was found between stature and foot length in all groups. Linear and Multiple Regression Analysis were used to develop formulae for stature estimation. However, the latter was found to be more accurate as the correlation coefficient was highest in the combination of foot length and foot width in all the formulae (S = 585.298+(4.898xFL)-(1.453xFW), F(2,149 = 149.324, p < 0.01, R2 = 0.670). Formulae for sex estimation were obtained by using the Classification Tree Analysis. Result had indicated that sex estimation formulae can help to determine the sex with 86.3-87.5% accuracy in females and 85.2-85.7% accuracy in males by using foot length while the accuracy is 68.4-76.8% in females and 77.8-81.0% in males by using foot width.

Introduction: Stature estimation is population dependent, and population-specific regression equations should be generated for accurate anthropological assessments. Nevertheless, stature estimation data was inaccessible and limited in some of the South-East Asian countries. The systematic review was conducted to analyse the regression equations of stature estimations developed in South-East Asian region. Materials and Methods: A systematic literature search was performed through SCOPUS database and Google Scholar from January till March 2018. All published articles which developed stature estimation from different types of bone, methods and type of statures (i.e. living stature, forensic stature and cadaveric stature) were included in this study. Risks of biases were also assessed. Population studies with no regression equations were excluded from the study. Results: Seven studies that met the inclusion criteria were identified. In the South-East Asia region, regression equations for stature estimation were developed in Thailand and Malaysia. In these studies, bone measurements were done either by radiography, direct bone measurement, or palpation on body surface for anatomical bony prominence. All of these studies used various parts of bones for stature estimation. Conclusion: The most widely used regression equations for stature estimation in SouthEast Asian population were from the Thailand population. Further research is recommended to develop regression equations for other South-East Asian countries.
Stature estimation