The objectives of the present study were to identify gender from thumbprints ridge thickness using likelihood ratio and posterior probability density as well as to determine which of the three areas of thumb has more potential in sex determination. Ridge thickness for 97 male and 97 female subjects within the age range of 18-25 years were examined within the 25 mm 2 areas of the ulnar, radial and proximal parts of the thumb making up 1164 areas of the thumbprints. Female subjects exhibited finer ridge count compared to males in ulnar area of both sides of the thumbs. In the radial area, females were found to have finer ridge counts as in ulnar side, but with some coarse ridge. For the right proximal ridge thickness, a similar trend to that in the radial area was noticed, however, in the left thumbprint, males tend to have finer ridge counts compared to females. It was noticed that chance of sex inference from likelihood ratio decreased in the following order: proximal ridge thickness < radial ridge thickness < ulnar ridge thickness as ridge thickness decreases in favor of females but left proximal ridge thickness showed increased in likelihood ratio as ridge thickness decreased in favor of males. Ridge thickness in ulnar area showed more discrimination power compared to the other two areas studied. Considering equal probability for each sex, likelihood ratio reveals the applicability of ridge thickness in sex inference among Hausa population.
The term "fingerprint white lines (fWL)" refers to a region of ridge hypoplasia that appears as white lines in a captured fingerprint, dubbed "white lines". The aim of this work was to see if there is any sexual dimorphism in fingerprint white line count (fWLC) and body composition parameters (BCP), as well as look into the relationship between the two. The study was a cross sectional design with 300 participants. The body composition parameters were measured using a bioelectric impedance machine. The fingerprint was captured using a live scanner to determine the fWLC. Females had considerably higher metabolic age, body fat, and visceral fat. In all ten digits, statistically significant differences in fWLC were found. Females were shown to have a higher fWLC, metabolic age, body fat, and visceral fat than males. Except for percent body fat, the fWLC revealed a significant negative correlation with all body composition indices. The fWLC of the left thumb correlates with percent visceral fat while the left and right middle fWLC showed a significant correlation with metabolic age. All ten digits fWLC had a strong link with percent body fat, percent muscle mass, and resting metabolism, with the left ring and thumb fWLC having a higher correlation. Thumb, index, middle, and little fWLC of the left digit, and middle and ring fWLC of the right digit are used to calculate BMI. The greatest predictors for BMI and percent body fat were found to be the left middle and right little digits fWLC. Left ring and right middle digit fWLC were the best predictors of percentage muscle mass and metabolic ages, respectively. Both resting metabolism and percent visceral fat were best predicted by the left thumb fWLC. Finally, sexual dimorphism in relation to BCP and fWLC was discovered.
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