Journal of Clinical and Diagnostic Research (May 2021)

Correlation between Second and Fourth Digit Length Ratio with Height, Body Mass Index and Axial Length of Eyeball in Adult Population of Burdwan, West Bengal, India

  • Sabari Bhattacharya,
  • Alipta Bhattacharya,
  • Apala Bhattacharya,
  • Kushal Banerjee,
  • Jonaki Das (Sarkar),
  • Mousumi Banerjee

DOI
https://doi.org/10.7860/JCDR/2021/47134.14860
Journal volume & issue
Vol. 15, no. 5
pp. AC06 – AC10

Abstract

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Introduction: Studies are being conducted to correlate second (2D) to fourth digit (4D) length ratio as an anthropometric marker of prenatal sex steroid exposure with human body. As 2nd digit: 4th digit(2D:4D)ratio is an anthropometric window into the interplay of sex hormones in-utero, this tool may be tested to note if there is any correlation between the sexual dimorphism of axial length and the Digit length ratio. Aim: To find a correlation between digit length ratio (2D:4D) with physical parameters like height, BMI and axial length of eyeball in the adult population of South Bengal presenting in a tertiary care hospital, in Burdwan, West Bengal, India. Materials and Methods: A cross-sectional study with simple random sampling was conducted on 500 patients (age ≥20 years) from March 2016 to February 2017 in the Departments of Anatomy and Ophthalmology Out Patients Department (OPD) of a tertiary care Hospital and Medical College in West Bengal, India. Height, weight, axial length of eyeball were measured and the BMI was computed for the study population. Statistical analysis was done with Statistical Package for Social Sciences(SPSS) version 16.0. Unpaired t-test was used for determining possible group differences in 2D:4D length ratios. Pearson’s correlation coefficients were used to find a correlation between second and fourth digit length ratio (2D:4D) with height, BMI and axial length of eyeball in the study population. The p-value 0.05) Conclusion: In this study, we have tried to establish that 2D:4D ratio (which is significantly higher in females) can be used as a putative non-invasive anthropometric marker to differentiate between males and females, which presumably is prenatally determined by in-utero sex steroid hormone exposure. By correlation studies, we have also tried to prove that this parameter correlates well with other anthropometric measurements like height, BMI and ocular axial length which are already known to be significantly different in males and females.

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