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Indian Academy of Forensic Medicine (IAFM) - Official website of IAFM

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J <strong>Indian</strong> Acad <strong>Forensic</strong> Med. Jan- March 2012, Vol. 34, No. 1 ISSN 0971-0973<br />

height was more in males and this difference<br />

was statistically significant. This finding is in<br />

congruence with the observations <strong>of</strong><br />

investigators on European sample. [6, 7]<br />

The sciatic notch width in the present<br />

series were comparable with those from a North<br />

<strong>Indian</strong> study [10] that showed the mean width for<br />

males was 4.49cm (standard deviation 0.44) and<br />

for females it was 4.84 cm (standard deviation <strong>of</strong><br />

.48)The sciatic notch width is significantly<br />

different in the two sexes. The sciatic notch is<br />

rather a better indicator <strong>of</strong> sex in the hipbone as<br />

has been postulated by earlier workers. [8, 9,<br />

10, 11] In the present study a new rule <strong>of</strong> thumb<br />

was formulated on the basis <strong>of</strong> the sectioning<br />

point and the standard deviation <strong>of</strong> the values <strong>of</strong><br />

the index in the two sexes. On applying this rule<br />

93.3% <strong>of</strong> the bones could be correctly assigned<br />

to its proper sex. These results are better than<br />

the Kelley’s approach when applied to the <strong>Indian</strong><br />

Bengali sample. Thus the present investigation<br />

clearly showed that the sciatic notch /acetabular<br />

height index is a good method <strong>of</strong> sexing human<br />

hipbones in <strong>Indian</strong>s when the new rule is<br />

applied. This will be equally effective even in<br />

fragmentary remains as the index can be easily<br />

calculated by measuring the two variables.<br />

This method has one shortcoming that<br />

had also been highlighted by Kelley. The main<br />

difficulty lies with defining the exact anatomical<br />

landmark for the measurements and the effects<br />

<strong>of</strong> wear and destruction <strong>of</strong> the bony points in<br />

bones that are obtained for forensic casework.<br />

Also the chances <strong>of</strong> inter-observer variations<br />

could not be tested in this series, as it was a<br />

single author work. However in the present<br />

series a standard protocol [10, 11] was followed<br />

for the measurement that has been described in<br />

the method section.<br />

Besides the present work is a<br />

preliminary study as the sample comprised thirty<br />

fully ossified human bones belonging to the<br />

<strong>Indian</strong> Bengali population. Given the diversity <strong>of</strong><br />

the <strong>Indian</strong> population and the results <strong>of</strong> earlier<br />

works [12], such a small sample size is not at all<br />

effective in providing results that can be<br />

generalized. This approach need to be further<br />

worked out with a larger sample preferably in a<br />

multicentric study. There is also ample scope to<br />

examine the regional variation in <strong>Indian</strong> bones<br />

and its applicability in sexing skeletal remains.<br />

It is concluded that the present new rule<br />

<strong>of</strong> thumb approach is a valid, effective, reliable,<br />

population specific and easy method to<br />

differentiate between male and female pelvis in<br />

<strong>Indian</strong> Bengali skeletal remains. This will have<br />

useful application in anthropology, archaeology<br />

and <strong>Forensic</strong> casework involving unidentified<br />

29<br />

human remains belonging, the <strong>Indian</strong> Bengali<br />

population.<br />

References:<br />

1. W.M. Krogman, M.Y. İşcan. The Human Skeleton in <strong>Forensic</strong><br />

<strong>Medicine</strong>, Charles C. Thomas, Springfield, IL, 1986: 202-08.<br />

2. Bruzek J. A method for visual determination <strong>of</strong> sex, using the<br />

human hipbone, Am. J. Phys. Anthropol. 2002; 117: 157-68.<br />

3. MacLaughlin S.M, Bruce M.F. Sex determination from the pelvis in<br />

a Dutch skeletal series, J. Anat. 1985; 140: 532.<br />

4. Albanese J. A metric method for sex determination using the<br />

hipbone and the femur, J. <strong>Forensic</strong> Sci. 2003; 48 (2): 263-73.<br />

5. DiBennardo R, Taylor J.V. Multiple discriminant function analysis<br />

<strong>of</strong> sex and race in the postcranial skeleton, Am. J. Phys. Anthropol.<br />

1983; 61: 305-14.<br />

6. Kelley M.A. Sex determination with fragmented skeletal remains, J.<br />

<strong>Forensic</strong> Sci. 1979; 24(1): 154-58.<br />

7. MacLaughlin S.M, Bruce M.F. The sciatic notch/acetabular index<br />

as a discriminator <strong>of</strong> sex in European skeletal remains. J.<strong>Forensic</strong><br />

Sci 1986; 31(4): 1380-90.<br />

8. Walker P.L. Greater sciatic notch morphology: Sex, age, and<br />

population differences, Am. J. Phys. Anthropology. 2005; 127 (4):<br />

385-91.<br />

9. Milne N. Sexing <strong>of</strong> human hip bones J. Anat. 1990; 172: 221-26.<br />

10. Singh S, Potturi B.R. Greater sciatic notch in sex determination J.<br />

Anatomy 1978; 125: 619-22.<br />

11. Kalsey G, Singla R .K, Sachdeva K. Role <strong>of</strong> the greater sciatic<br />

notch <strong>of</strong> the hip bone in sexual dimorphism: a morphometric study<br />

<strong>of</strong> the North <strong>Indian</strong> population Med Sci Law 2011; 51(2): 81–86.<br />

12. Nagesha K.R., Kanchana T, Bastiab B K. Sexual dimorphism <strong>of</strong><br />

acetabulum–pubis index in South-<strong>Indian</strong> population Legal <strong>Medicine</strong><br />

2007; 9(6): 305-08.<br />

Table 1A: Showing summary statistics<br />

SEX Statistic<br />

SCIATICN Male Mean 4.3929<br />

Std. Deviation .3050<br />

Minimum 4.00<br />

Maximum 5.30<br />

Female Mean 4.9125<br />

Std. Deviation .2778<br />

Minimum 4.50<br />

Maximum 5.30<br />

Range .80<br />

ACETABUH Male Mean 5.2929<br />

Std. Deviation .1817<br />

Minimum 5.00<br />

Maximum 5.60<br />

Range .60<br />

Female Mean 4.8000<br />

Std. Deviation .2033<br />

Minimum 4.40<br />

Maximum 5.10<br />

Range .70<br />

KELLYS Male Mean .8317<br />

Std. Deviation 7.785E-02<br />

Minimum .77<br />

Maximum 1.06<br />

Range .29<br />

Female Mean 1.0237<br />

Std. Deviation 4.511E-02<br />

Minimum .94<br />

Maximum 1.10<br />

Range .17<br />

Table1: Descriptive Statistics <strong>of</strong> the Variables<br />

N Minimum Maximum Mean Std.<br />

Deviation<br />

KELLYS 30 .77 1.10 .9341 .1151<br />

SCIATICN 30 4.00 5.30 4.6700 .3888<br />

ACETABUH 30 4.40 5.60 5.0300 .3142

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