Finger length as a potential metric for assessing human weight: An ergonomic study

This study investigates the potential link between finger lengths and human weight within the field of ergonomics, aiming to establish finger length as a reliable indicator of human weight. The research involved 215 healthy young male and female participants, selected in Abeokuta South Western Nigeria, using the snowball sampling technique. Employing statistical analyses and regression models, the study explores the nuanced relationship between finger length and human weight. Regression analysis revealed specific finger length L5D (r = 0.307), R1D (r = 0.338), and R5D (r = 0.331) are statistically more reliable for determining human weight, while R2D (r = 0.066) and L2D (r = 0.057) are less reliable, providing valuable insights for ergonomic applications. Multiple regression analysis reinforced these findings with robust model equations. Single and multivariate regression analyses deepened the study, yielding high correlation coefficients and coefficients of determination. The practical implications of this correlation are highlighted, particularly in shaping ergonomic design principles for products and environments accommodating diverse body types effectively. This research serves as a foundation for future investigations, emphasizing the potential for extending the study to a larger and more diverse population, thereby enriching the understanding of the intricate interplay between finger length and human weight.