Search or add a thesis

Advanced Search (Beta)
Home > Foot Dimensions As a Tool for Gender Determination in Kenyan Adults

Foot Dimensions As a Tool for Gender Determination in Kenyan Adults

Thesis Info

Author

Waithaka, Maureen W.

Department

Pathology (East Africa)

Program

MMed

Institute

Aga Khan University

Institute Type

Private

City

Karachi

Province

Sindh

Country

Pakistan

Thesis Completing Year

2013

Thesis Completion Status

Completed

Subject

Medicine

Language

English

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676728053323

Similar


Introduction: Anthropometry has gained popularity over the years as a reliable method to determine gender. In forensic investigation, there are cases where gender cannot be readily determined using anatomy such as in mass casualty disasters with dismemberment and commingling of limbs. Kenyan descriptive data of foot dimensions is lacking as are formulae for estimating gender. Proven differences in foot dimensions across races prevent application of formula obtained using different populations necessitating generation of local data and formulae. Objectives: To describe the foot lengths, breaths and navicular heights of a representative adult Kenyan population, both male and female, and derive from these a formula to estimate gender. Material and Methods: Foot lengths, breadths and navicular heights were taken using callipers from a representative adult Kenyan population. These measurements were then subsequently used to derive a formula for determining gender by use of discriminant function analysis. Results: Mean foot lengths were 271.60 mm and 272.32 mm for men and 235.16 mm and 234.75 mm for women, right and left respectively. Mean foot breadths were 103.77 mm and 102.72 mm for men and for 88.67 mm and 88.69 mm women, right and left respectively. Foot navicular heights were 71.06 mm and 70.80 mm for men and 61.54 mm and 62.55 mm for women, right and left respectively. T-tests were used to compare these means across gender, all differences were statistically significant, p≤0.00001. A formula to estimate gender via discriminant function analysis was obtained. The formula correctly determined gender in 100% of the cases within this study. Conclusion: Formulae developed from foot dimensions can be used to predict gender in forensic investigations.
Loading...

Similar Thesis

Showing 1 to 20 of 100 entries
TitleAuthorSupervisorDegreeInstitute
MMed
Aga Khan University, Karachi, Pakistan
Riphah International University, Islamabad, Pakistan
Riphah International University, Islamabad, Pakistan
Mphil
Quaid-i-Azam University, Islamabad, Pakistan
PhD
University of Engineering and Technology, Lahore, Pakistan
MSc
Quaid-i-Azam University, Islamabad, Pakistan
PhD
Hamdard University, Karachi, Pakistan
BS
International Islamic University, Islamabad, Pakistan
BS
COMSATS University Islamabad, Islamabad, Pakistan
Mphil
Riphah International University, Faisalabad, Pakistan
MEd
Aga Khan University, Karachi, Pakistan
Allama Iqbal Open University, Islamabad, Pakistan
PMS
COMSATS University Islamabad, Islamabad, Pakistan
BS
COMSATS University Islamabad, Islamabad, Pakistan
BS
International Islamic University, Islamabad, Pakistan
BBA
International Islamic University, Islamabad, Pakistan
BS
University of Management and Technology, Lahore, Pakistan
MSc
University of Management and Technology, Lahore, Pakistan
MS
Capital University of Science & Technology, Islamabad, Pakistan
University of Engineering and Technology, Rawalpindi, Pakistan
TitleAuthorSupervisorDegreeInstitute
Showing 1 to 20 of 100 entries

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...