Dermatoglyphics: A Forensic Tool to Predict Type 2 Diabetes Mellitus and Gender Identification among Kuwaiti
Nishath Sayed Abdul1, Teef Adel Gholoum1, Latefah Abdulrahman Alali1
1Department of OMFS and Diagnostic Sciences, College of Medicine and Dentistry, Riyadh Elm University, Riyadh, Kingdom of Saudi Arabia.
Background:
Type 2 diabetes mellitus, with increasing global prevalence and genetic influence, may be predicted using dermatoglyphics, a reliable forensic tool. This study evaluated dermatoglyphic patterns to identify type 2 diabetes in the Kuwaiti population.
Materials And Methods:
A cross-sectional observational study with 100 participants (50 diabetics, 50 controls) analysed fingerprint patterns (loops, whorls, arches).
Results:
500 fingerprints were examined (250 diabetic, 250 control). Among diabetics, there were 21 males (42%) and 29 females (58%), while the control group included 20 males (40%) and 30 females (60%). The diabetic group showed a predominant loop pattern (48%), whereas the control group commonly exhibited the whorl pattern. Diabetic males mostly showed loops, and non-diabetic males showed whorls. Diabetic females had predominantly whorl patterns, while non-diabetic females showed loops.
Conclusion:
Loop patterns were more frequent in diabetics, while the whorls were common in non-diabetics, indicating predictive potential for type 2 diabetes.
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