Acta Scientiarum. Health Sciences (Jun 2023)

Fingerprint Patterns in Women with Type 2 Diabetes Mellitus: Computerized Dermatoglyphic Analysis

  • Fabiane Pertille,
  • Adriano Alberti,
  • Josiane Aparecida de Jesus,
  • Bruna Becker da Silva,
  • Renan Souza,
  • Guilherme Rosa de Abreu,
  • Clarissa Martinelli Comim,
  • Rudy José Nodari Junior

DOI
https://doi.org/10.4025/actascihealthsci.v45i1.61110
Journal volume & issue
Vol. 45, no. 1

Abstract

Read online

Dermatoglyphics can be used as a supporting tool in the early detection of type 2 Diabetes Mellitus in women. The present study aims to investigate the fingerprints of women with type 2 diabetes mellitus through the dermatoglyphic method, and to compare them with women without the disease. It was conducted by obtaining the fingerprints of all 10 fingers of 268 women – which is known as the dermatoglyphic method –, using the Dermatoglyphic Reader®, with data processed in SPSS (IBM SPSS), version 20.0, and a significance level of p< 0.05. The researched groups are homogeneous for the age, weight and height variables. The group of women with diabetes had a higher average number of lines on the left thumb, as well as the highest total number of lines on the left hand. Moreover, they had a greater number of deltas, in addition to presenting the whorl shape on fingers 1 to 5 of the left hand, and 1 to 4 of the right hand. We concluded that women with type 2 diabetes had a mark of observation concerning their biological individuality on their fingerprints that differs from that of women without the disease.

Keywords