Volume 11, Issue 3 (Autumn 2025)
J Health Res Commun 2025, 11(3): 28-39 |
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Samehsalari S. The Association Between Dermatoglyphic (Fingerprint) Patterns and Obesity Status among Female Students at the University of Mazandaran: A Potential Tool for Risk Screening. J Health Res Commun 2025; 11 (3) :28-39
URL: http://jhc.mazums.ac.ir/article-1-1181-en.html
URL: http://jhc.mazums.ac.ir/article-1-1181-en.html
Department of Anthropology, Faculty of Humanities and Social Sciences, University of Mazandaran, Babolsar, Iran.
Abstract: (385 Views)
Introduction and Purpose Epidermal ridges can serve as an important tool in diagnosing many diseases, particularly genetic disorders. Obesity is a chronic condition influenced by environmental, metabolic, and genetic factors, which may also affect the development of fingerprint patterns during the fetal stage. In this regard, the present study aimed to investigate the association between fingerprint patterns and obesity among female college students in Mazandaran, Iran.
Methods This case–control study was conducted on 200 female students at the University of Mazandaran aged 19–30 years, selected via cluster random sampling. Participants’ height and weight were measured, and body mass index (BMI) was calculated. They were divided into two groups: normal-weight (BMI:18.5–22.9 kg/m², n=100) and obese (BMI≥27.5 kg/m², n=100). Fingerprint samples were collected using a biometric fingerprint scanner, and the statistical analyses were performed in IBM SPSS software, version 27.
Results There were significant differences between the obese and normal-weight groups in both loop (P=0.049) and arch (P=0.001) patterns. The arch pattern was found to be more prevalent in the obese group (7.5%), while the loop pattern was more frequent in the normal-weight group (57.4%). Whorl patterns did not differ significantly between the groups. Furthermore, the absolute finger ridge count comparison demonstrated a statistically significant difference between the two groups (P=0.047).
Conclusion The fingerprint patterns differ between obese and normal-weight females. Therefore, identifying distinctive fingerprint patterns may serve as a useful tool for screening groups at risk of developing obesity and for preventing its complications.
Methods This case–control study was conducted on 200 female students at the University of Mazandaran aged 19–30 years, selected via cluster random sampling. Participants’ height and weight were measured, and body mass index (BMI) was calculated. They were divided into two groups: normal-weight (BMI:18.5–22.9 kg/m², n=100) and obese (BMI≥27.5 kg/m², n=100). Fingerprint samples were collected using a biometric fingerprint scanner, and the statistical analyses were performed in IBM SPSS software, version 27.
Results There were significant differences between the obese and normal-weight groups in both loop (P=0.049) and arch (P=0.001) patterns. The arch pattern was found to be more prevalent in the obese group (7.5%), while the loop pattern was more frequent in the normal-weight group (57.4%). Whorl patterns did not differ significantly between the groups. Furthermore, the absolute finger ridge count comparison demonstrated a statistically significant difference between the two groups (P=0.047).
Conclusion The fingerprint patterns differ between obese and normal-weight females. Therefore, identifying distinctive fingerprint patterns may serve as a useful tool for screening groups at risk of developing obesity and for preventing its complications.
Type of Study: Research(Original) |
Subject:
Health Education and Promotion
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