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Objectives: To determine the relationship between postnatal foot lengths and estimated gestational age (EGA) in relation to intrauterine growth patterns determined at birth among Nigerian neonates. Design: Hospital-based, cross-sectional. Setting: Olabisi Onabanjo University Teaching Hospital, Sagamu, Nigeria. Participants: 260 neonates with EGA 30- 42 weeks within 48 hours of life. Interventions: Postnatal foot lengths (FL) were measured with Vernier digital calliper in millimetres. The intra-uterine growth pattern was determined using the Lubchenco chart. Pearson correlation and regression analysis tests were performed. Main outcome measures: Postnatal foot length in relation to Intra-Uterine Growth Pattern. Results: The mean postnatal FL had a strong positive correlation with the EGA from 30 through 42 weeks (r = 0.855, p < 0.001). The overall mean foot length for preterm neonates was 65.44 (6.92) mm, while that of term neonates was 77.92 (4.24) mm. The linear regression equation was generated as: EGA = 9.43 + (0.37 × FL), p < 0.001. The EGA as measured by FL had the highest positive correlation with Small for Gestational Age (SGA) intra-uterine-growth pattern, followed by Appropriate for Gestational Age (AGA) and least by Large for Gestational Age (LGA) respectively (r = 0.936> 0.861 > 0.666). Conclusion: The postnatal foot length correlated well with estimated gestational age, and the correlation was best among SGA infants
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Humans , Male , Female , Gestational Age , Diabetes Mellitus , Noncommunicable Diseases , Hypertension , Public HealthABSTRACT
Background: Gestational age is a major determinant of newborn prognosis. Early identification of gestational age is a major priority to reduce global mortality from preterm birth. Therefore this study was conducted with an aim to find out an alternate simple, low cost and reliable method to identify accurate gestational ages.Methods: The cross sectional study was carried out at Rukmani Chainani Maternity and Neonatal Unit, SSGH and Medical College, Baroda from December 2019 to May 2020. Total 500 live newborns of different gestational ages within 72 hrs of birth which were appropriate for gestational age were enrolled in this study. Foot length, head circumference, crown heel length and weight were measured. Gestational age was estimated by antenatal USG, Ballard scoring and LMP. Correlation of foot length to gestational age and other anthropometric variables was done.Results: There was statistically significant positive correlation found between foot length and gestational age (correlation coefficient of 0.944 and p value of <0.0001). There was also positive correlation found between foot length and weight, head circumference and length with correlation coefficient of 0.942, 0.888 and 0.906, respectively. Using ROC curve, foot length cut-off value of 7.2 cm can be used for identifying preterm babies with sensitivity of 94.4% and specificity of 95.6%. Regression equation for gestational age calculation was GA=6.669+4.0601[FL].Conclusions: This study had demonstrated that Foot length is a simple and reliable anthropometric measurement to assess gestational age and to screen prematurity.
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Background: Neonatal death is one of the major contributors (50%) of Under-five child mortality and 70% of the infant mortality. The main causes of neonatal deaths are prematurity and low birth weight (LBW). This study was undertaken to assess newborn foot length and determine its usefulness in identifying LBW/Preterm Babies.Methods: This is a cross sectional hospital based study of 173 newborn babies, done in KIMS Hospital, Bengaluru. All live newborn infants were included in the study. Newborn babies with lower limb congenital anomalies were excluded from the study.Results: Out of 173 newborn, 99 babies were male (57%) and 74 were female (43%). 122 (70.5%) were term and 51(29.5%) were preterm. 48 (38%) were SGA, 120 (69%) were AGA and 5 (3%) were LGA. Their gestational age ranged from 28 to 40 weeks. In this study positive Correlation between foot length and gestational age was found with the “r” value of 0.823. The study also showed a positive correlation between foot length and weight with the “r” value of 0.831.Conclusions: This study has a good correlation of Foot length with gestational maturity and birth weight. Foot length of 7.45cm can be used as a cut- off point for differentiating between term and preterm babies. Derived equation from this study can be used by ASHAs and Anganwadi workers for the estimation of gestational age in resource poor situations and refer the preterm newborns to higher centres for further management as early as possible to prevent long and short term complications of prematurity.
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Background: India contributes to one fifth of global live births and more than a quarter of neonatal deaths. A systematic analysis of global, regional and national causes of child mortality in 2013 identified preterm birth complications and infections to be the two major causes of neonatal deaths in India. So, there is need of a simple, easy to use and reliable screening tool for assessment of gestational age at peripheral level for early referral of a neonate to a tertiary care hospital, thereby reducing neonatal mortality.Methods: A hospital based observational cross-sectional study included 350 live new-borns within 48 hours of birth, from September 2018 to February 2019. Gestational age assessed by new ballard score, birth weight, foot length and right nipple to umbilicus distance were noted. Babies categorised as per the gestational age profile as small, appropriate and large for gestational age using fenton charts. Data analysis done, correlation coefficient, and p value calculated to obtain results.Results: Out of 350 babies, males (185) outnumbered females (165); 154 were LBW, 89 VLBW and 76 were ELBW. AGA neonates were 193, and 157 belonged to SGA. There were no post-term and large for gestational age newborns. Both foot length and right nipple to umbilicus distance correlated well with gestational age in all age groups (p<0.001).Conclusions: Foot length as well as right nipple to umbilicus distance can be used as a reliable tool for assessment of gestational age and birth weight of newborns by any health care professional to identify and refer high risk neonate.
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Background: As the prematurity is one of the important causes of neonatal mortality/ morbidity in a developing country like India. It is important to differentiate between preterm and term babies and timely refer them to higher centre. But it's difficult to assess the Gestation age (GA) in rural areas by existing methods like New Ballard score, and Antenatal ultrasound (due to lack of equipment and experienced person). So that shows the importance of the alternative, reliable, and easy to use method for identification of term, preterm and post-term babies. The present study carried out to find out the importance of Foot length in the assessment of GA.Methods: It is a hospital-based prospective observational study, 253 newborns were included in the study. The GA assessment was done by using New Ballard score. Foot length measured by using Digital sliding calliper and birth weight were recorded. Correlation of Fetal foot length with GA and birth weight was made by using appropriate statistical tests.Results: Among 253 neonates distribution of term, preterm, male and female were 65%, 35 %, 55%, 45% respectively. In this study positive Correlation between foot length and gestational age was found with the 'r' value of 0.77. The study also showed a correlation between foot length and weight with the 'r' value of 0.74.Conclusions: To conclude most of the newborn in our study have a good correlation of Foot length with gestational maturity and Birthweight. Derived equation from this study can be used as an alternative to New Ballard score in the estimation of gestational age in poor sources situations like in rural areas and also in emergencies by ASHAs (Accredited Social Health Activist) & Anganwadi workers.
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Introduction: Evaluation of height from multiple long bones is done by several researchers with variable degreeof success. Limited literature exists on establishing the correlation between foot length (FL) and height (Ht). Thepresent study was implemented to find out percentage ratio of FL to Ht and to assess the relationship betweenfoot length and height through regression analysis method.Materials and Methods: An observational anthropometric study was done on healthy 500 male and femalestudents with age bracket of 18 to 23 years. Foot length and height measurements were done by appropriateinstruments and same expert to avoid observer bias. SPSS (Version 12) software was used for data analysis andcorrelation coefficients. Multiple regression correlation analysis methods were used to evaluate statisticaldifferences.Results: The mean FL was significantly higher in all age groups of males than that of females (p < 0.001). Thecorrelation coefficient ‘r’ was statistically significant for majority of age groups (p < 0.01). There was positivecorrelation 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 diversepopulation group and it would be very useful for personal identification in forensic medicine field andanthropology.
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Background: The aim was to study neonatal foot length as a simple method for quick gestational age assessment which can be done by basic healthcare personnel overcoming the technicality required by other assessment methods.Methods: Prospective descriptive study was done. Live born neonates at Saveetha Medical College, Kanchipuram from June 2016 to June2017 were enrolled. Gestational age was assessed by New Ballard's Scoring and footlength was measured using the paddle blades of automated digital Vernier calipers within 24 hours while birth weight was taken within 72 hours of birth. Based on gestational age, babies were grouped into preterm, term and post term and were subclassified as small for gestational age (SGA), appropriate for gestational age (AGA) and large for gestational age (LGA) based on Lubchenco's intrauterine growth chart. Correlation and regression analysis and Scattergram was done.Results: Out of 300 neonates, term, preterm and post-term were 70.3%,28.3% and1.3% while SGA, AGA, and LGA babies were 9%, 88% and 3%. Mean foot length was 7.728cm'0.59 with a range of 5-8.8cm. Foot length strongly correlated with gestational age in Preterm AGA, SGA and Term AGA babies (<0.001). Correlation coefficient of foot length with gestational age was higher in preterms (r=0.95). Gestational age in 54% of study population could be calculated with the derived regression equation derived.Conclusions: Foot length maybe useful for quick estimation of gestational age in preterm and term neonates for early referral of newborns requiring special care and can even be done by basic healthcare personnel.
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Background: India is one of the countries with the highest neonatal mortality, for which preterm birth is considered as major cause (43.7%). Therefore, early identification by a simple screening tool is important for prognostication and follow-up of new-born infants, especially preterm.Methods: Cross-sectional study was conducted on 300 live newborns at Saveetha Hospital in Kanchipuram. Anthropometric measures such as birth weight, crown-heel length, head circumference, foot length were taken within 3 days of life and gestational age assessment was done by new Ballard scoring after calculation by Naegles formula. Neonates were grouped into preterm, term and post-term and also small for gestational age (SGA), appropriate for gestational age (AGA) and large for gestational age (LGA). Minimum to maximum range of variables in each gestational range was calculated. The sensitivity and specificity of each variable was found using receiver operating curve. Parameter having the highest sensitivity and good specificity was considered as potential screening tool to identify high risk babies. SPSS Software version 17 for windows was used.Results: The range of gestational age, length, foot length, birth weight and head circumference was 28-42 weeks, 35-53 cm, 5-8.8 cm, 0.8-4.7 kg and 22.8-54.3 cm respectively. Among all, maximum sensitivity at 37weeks gestational age was seen with foot length (80.57%) at a cut-off of 7.58 cm. A nomogram of foot length for each gestational age group (range of 2 weeks) was also derived.Conclusions: It can be concluded that foot length has the potential to be considered as a screening tool to identify preterm neonates especially at a concentrated community level and is particularly useful in resource constraint countries.
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Introduction: Stature can be determined using measurementsof different body parts. Forensic anthropology uses regressionequation for determining stature from body part. The aim ofthe present study is to assess the agreement level betweenactual and estimated stature using regression equation fromright foot length (RFL) among both sexes in Chennai region.Material and methods: In this cross sectional study, 619subjects of both sexes with age ranging from 18 to 59 yearswere studied for determination of stature. Simple regressionequations were formulated from RFL. They were appliedfor determination of stature of an individual of both sexesseparately. Then they were assessed for their agreementbetween actual and estimated stature.Results: The present study found a satisfactory agreementbut not very good agreement between actual and estimatedstature with regression equation from RFL in both sexes.According to the Bland-Altman plot, there was a bias asnegative predicted higher than the actual stature values andfew observations were found moving beyond lower and upperlimits (95% confidence limit).Conclusion: When actual stature cannot be determined,regression equation could be the most appropriate forprediction of stature using foot length in adults.
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Background: Gestational age of the newborn can be assessed by various methods. Aim of this study was to estimate the gestational age using foot length of the neonate and to find the correlation between foot length and gestational age assessed by last menstrual period and first trimester ultrasound.Methods: It was a hospital based prospective cross-sectional study done at Newborn ward, Department of Pediatrics, MGM Govt. hospital attached to KAP Viswanatham Govt. Medical College, Tiruchirappalli, involving 170 newborns with 10 babies in each gestational age ranging from 26 weeks to 42 weeks. Gestational age of all babies were assessed using last menstrual period, first trimester ultrasound and New Ballard Score soon after birth. Right foot length of each baby was measured from heel to tip of great toe or second toe whichever was longer, within 12-24 hours of life. Measurements were taken using a plastic ruler, measuring tape and by measuring the length of foot print ink impression.' Gestational age obtained by various methods were assessed for their correlation with foot length.Results: Positive correlation was obtained between foot length and gestational age determined by LMP (r= 0.965) and ultrasound (r= 0.964). Hence foot length could be reliably used to predict gestational age of newborn.Conclusions: Foot length measurements can be used as a non-invasive alternative method to assess gestational age of newborn, especially by community health workers and thus can facilitate the early identification of preterm babies.
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Introduction: The infections acquired in patients duringadmission in a hospital and the patients have no evidenceof infection before admission in hospital are known asnosocomial infections or hospital acquired infections. Theetiological organism may be bacterial, fungal, viral orparasitic, found in the air or on hospital items; spreading fromone person to another person. The main objective of currentstudy was to assess the knowledge and practices of nurseswith respect to the spread of hospital infections in a tertiaryhospital of Lahore.Material and methods: A cross sectional, descriptive studywas carried out in a tertiary hospital of Lahore, Pakistanduring a period of four months from June 2018 to September2018. Sample size was 120 and simple random sampling wasdone. Data analysis was done by SPSS version 21.Results: Most of the participants 115(95.8%) were female and5(4.2%) were male. It was revealed that nurses had enoughawareness about the spread of hospital infections. Out of120 participants, 39 (32.5%) were agree and 34(28.3%) werestrongly agree that they are aware of handwashing guidelines,but their practices to reduce the spread of hospital infectionwere not good since 38(31.7%) were neutral and 9(7.5%)were disagree to follow the recommended guidelines for usingalcohol based solutions or other antiseptics before and aftereach contact with patients.Conclusion: Nurses had a good knowledge regarding thespread of nosocomial infections, use of safety precautionsand use of alcohol based formulations but their practicesfor reducing the spread of hospital infections were not up tosatisfactory level.
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Introduction: Anencephaly accounts for one of the most common birth defects & is associated with a highmortality & morbidity. The objective was to determine frequency of anencephaly and its associated anomalies,risk factors, clinical presentations & assess maternal awareness on folic acid supplementation and its preventiverole in occurrence of anencephaly.Materials and Methods: The study includes 60 anencephalic fetuses (23 males & 37 females) of 20-30 weeks. Thefetuses were examined for external abnormalities & dissected. Measurements of crown heel, crown rump, headcircumference, foot length, & weight were taken. All the major organs were weighed & data recorded. The sampleswere fixed with 10% buffered formaldehyde. The internal anomalies were noted.Results: The number of deliveries was 57429 deliveries. 23(38.4%) were males & 37(61.6%) were females. Thefrequency of anencephaly in 2014 was 15134/9 (0.06%), in 2015 16361/21 (0.13%). Weight of 40% were <500gms,35% were between 500-1000gms & 25% <1000. Maternal age in 83.4% were 21-35 years, in <20 years & >40 yearswere 1.6% & in 36-40 years were 13.4%. Associated anomalies were present in 42 (70%) fetuses. Out of 42fetuses, those who had associated anomalies were 17 (40.4%) males and 25 (59.6%) were females. All the fetuseshad Acrania (100%) & 19 (45.3%) fetuses had spina bifida; there were no anomalies found in reproductivesystem.
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Introduction: The height estimation is as important as other parameters like age, sex and race especially inmedico-legal cases. The environmental and genetic factors influence the development of various parts of body.Although bilateral symmetry is a feature seen in humans, there is asymmetry in the foot length without gender orhandedness bias.Aim: To study the relationship of human height with foot length and to derive a mathematical module to predictthe height from foot length.Materials and Methods: This is a Cross-sectional study carried out in Ramaiah Medical College, Bangalore in234 individuals aged between 18 and 25 years of age. Descriptive statistics, Pearson’s correlation coefficientand linear regression were employed for the Statistical analysis of the dataResults: The overall mean foot length observed was 22.82 ±1.10 cms. There was significant difference in the meanvalues between right and left foot length which was statistically significant (P value = <0.001). The height showeda statistically significant positive correlation with left foot length in both males and females. Linear regressionequation was derived to predict height from foot length in both males and females.Conclusion: In the present study, there was a statistically significant difference in right and left side mean footlength measurements in both sexes. A positive correlation was observed between height and foot length and leftfoot length had better correlation with height in both sexes. It was concluded from further analysis that otherparameters need to be considered for better predictability of height.
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Background: It is important to know an infant’s gestational age because its behaviour and anticipated problems can be predicted on this basis. It is also important for prediction of morbidity, mortality and further management. Methods: Study was done for two years.254 newborns delivered at MYH hospital and admitted in MYH and CNBC nursery were studied. Their gestational age ranged from 27 to 42 weeks. Results: Gestational age and foot length also showed a positive correlation with a correlation coefficient of 0.99. Both AGA and SGA babies showed positive correlation of gestational age with foot length with correlation coefficient of 0.99 and 0.99 respectively. Conclusions: Foot length of 73.7 mm can be used as a cut- off point for differentiating between term and preterm babies. Foot length measurements can be easily used by peripheral health workers to differentiate between term and preterm babies. They can be used at remote places by peripheral health workers.
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Background: The body height measurement plays an important role in personal and medico legal identification and has become invaluable aid to scientific research in Anatomy, especially anthropological anthropometry. This study is conducted to find the correlation between body height and foot length & knee height measurements in both the sexes and to determine accurate and best predictor of height from above two parameters using Correlation Coefficient. Methods: Asymptomatic, healthy 1000 subjects (500 males and 500 females), residents of Teerthanker Mahaveer University of cosmopolitan origin age over 18 years old were studied. Their body height, Foot lengths and knee height were measured and all the readings were subjected to Statistical Analysis using mean + standard deviation, Pearson’s correlation coefficients and linear regression analyses. Result: In present study, correlation coefficients (r) values between body height, foot lengths and knee height were found to be statistically significant and positive in both males, females and in combined data, with highest ‘r’ value of knee height followed by foot lengths. Regression equations for estimating body height were developed for each of these parameters by Linear Regression. Conclusion: The study suggests the Knee height to be the best body height indicator developed for estimation of body height according to gender including age as a predictor variable in order to reduce the inherent problem of sample specificity and enhance accuracy confidence in the estimation.
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Objetivo: Determinar la correlación de la biometría fetal estándar y la biometría secundaria con la edad gestacional en gestantes del segundo y tercer trimestre. Diseño: Estudio transversal analítico. Institución: Hospital III Honorio Delgado de Arequipa, Perú. Participantes: Gestantes del segundo y tercer trimestre de gestación que acudieron para evaluación ecográfica de rutina sin evidencia de patología, desde enero hasta mayo de 2014. Métodos: Se consideró como biometría fetal estándar a la medición del diámetro biparietal (DBP), circunferencia cefálica (CC), longitud del fémur (LF) y circunferencia abdominal (CA); y biometría fetal secundaria a la medición del diámetro cerebeloso transverso (DCT), longitud renal (LR) y longitud del pie (LP). Principales medidas de resultados: Cálculo de regresión y correlación de la biometría fetal estándar y secundaria con la edad gestacional. Resultados: Se evaluó 140 gestantes del segundo y tercer trimestre de gestación con una edad materna promedio de 26,14 años y se encontró que todos los parámetros biométricos tuvieron buena correlación con la EG. Sin embargo, la mejor correlación con la EG fue la de la LF (r2 = 0,943) seguido por la LP (r2 = 0,940) y la más baja correlación fue de la LR (r2 = 0,860). En el tercer trimestre, las correlaciones fueron más bajas que en el segundo trimestre, siendo la más alta correlación de la LF (r2 = 0,756), seguida de la LP (r2 = 0,713); la más baja correlación fue de la LR (r2 = 0,395). Conclusiones: En nuestra población existió buena correlación de la biometría fetal estándar y secundaria con la edad gestacional, siendo la correlación de la longitud del fémur y la longitud del pie las mejores en el segundo y tercer trimestre de gestación; la longitud renal tuvo correlación pobre en el tercer trimestre.
Objectives: To determine fetal standard and secondary biometry correlation with gestational age in the second and third trimesters. Design: Cross-sectional study. Setting: Hospital III Honorio Delgado, Arequipa, Peru. Participants: Women in second and third trimester of gestation without evidence of disease. Methods: In 140 26.14 year-old pregnant women in the second and third trimesters of pregnancy presenting for routine ultrasound evaluation, fetal standard biometry and secondary biometry were obtained and correlated with gestational age in the second and third trimesters. Standard fetal biometry included biparietal diameter (BPD), head circumference (HC), femur length (FL) and abdominal circumference (AC); secondary biometry included transverse cerebellar diameter (TCD), renal length (RL) and foot length (PL). Main outcome measures: Standard and secondary fetal biometry regression and correlation with gestational age (GA). Results: All biometric parameters correlated with GA. Best correlation existed with FL (r2 = 0.943) and PL (r2 = 0.940) and the lowest correlation with RL (r2 = 0.860). In the third trimester, correlations were lower than in the second trimester, the highest with FL (r2 = 0.756) and PL (r2 = 0.713), and the lowest with RL (r2 = 0.395). Conclusions: In our population, there was good correlation between the standard and secondary fetal biometry with gestational age; femur length and foot length showed the best correlation in the second and third trimesters of pregnancy, and renal length the poorest correlation in the third trimester.
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Background & objectives: Stature is considered as the height of a person measured in erect position. It is one of the most important factors in establishing identity of a person. In certain medico-legal cases, where only parts or fragments of human body are found. Such a need arises when there is mass casualty. Aim of current study was to establish anthropometric correlation of stature with hand length and foot length in population of Gujarat and also to derive regression equations for correct estimation of stature of male and female in Gujarati population. Material and Method: 150 asymptomatic, apparently healthy, adolescent and adult medical students with age between 18 to 22 years belonging to various regions of Gujarat were selected. Left foot and left hand was selected for measurement. Result: Regression equation for estimation of height using both foot length and hand length were formulated. By using the derived regression equations, height of subjects was calculated and then compared with actual height of subjects. Conclusion: By the present study we conclude that both foot and hand length can be used in estimation of stature of both males and females with fairly accurate results in Gujarati population.
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This observational study was conducted on 973 healthy children between 8 and 16 years to evaluate the relation between changes in foot length and pubertal maturation. The right foot length of study children was recorded and SMR staging was done. The difference in mean foot length was statistically significant between SMR 1 and 2 (P<0.0001). No significant difference in the mean foot lengths was found thereafter. Smoothed standard deviation curves were constructed for foot length as a function of SMR stage using the LMS method. Foot length was found to rise sharply in SMR 2, which coincides with the onset of puberty.
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Background And Objectives: The study has been done to find out correlation between different parameters of foot. The aim and objective are to develop a model to reconstruct a stature from foot breadth. The study is carried out in 285 asymptomatic healthy adults 149 Males and 136 Females between 18-23 years of age, belongs to different region of Gujarat. Materials And Methods: Foot breadth and foot length were measured with sliding calliper and stature was measured by a standard anthropometer rod in erect anatomical position. Observation And Results: Obtained data was statistically analysed, and a significant correlation of stature was observed with foot breadth and foot length with foot breadth on both Rt. And Lt. side in males and females. Linear regression equations were derived to calculate foot length and stature from foot breadth. Interpretation And Conclusion: A highly significant correlation coefficient (p-value 0.0000) has been found between different parameters of foot on both Rt. and Lt.side in males and females. So stature can be more accurately calculated by foot breadth than long bones. The findings are useful to anatomists, criminologists, human biologist and forensic medicine experts.
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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.