Modelo predictivo de fuerza de agarre para un grupo de trabajadores administrativos de la ciudad de Bogotá

Abstract

ContextGrip strength is the force that is exerted with the hand to squeeze or release any object and it is considered an indicator of health. Authors have concluded that grip strength varies depending on age, sex, height, weight, habits, genetic factors, among others. ObjectivesTo establish a mathematical model for the prediction of grip strength in a group of office workers in the city of Bogotá. MethodsThe grip strength of the dominant and non-dominant hand was measured with a Jamar hydraulic dynamometer in 293 healthy office workers of a public entity in the city of Bogota. The protocol of the American Society of Hand Therapists was followed. Age, sex, height, weight, and BMI were recorded for each participant. Stepwise linear regression was applied to establish prediction models for the dominant and non-dominant hand, using R-studio software. ResultsThe participants were 185 men and 108 women, all with right dominance. In general, men recorded higher values of grip strength than women. The strength of the dominant hand was higher than that of the non-dominant hand. The proposed mathematical models allow estimating the grip strength of the dominant hand and the non-dominant hand with a predictability of 64.52% and 63.23%, respectively. ConclusionsThe proposed predictive models included the variables sex, height, and weight for the estimation of the grip strength of the dominant hand, and the variables sex, height, weight and age for the grip strength of the non-dominant hand.