AEROBIC CAPACITY PREDICTION MODEL FOR SMOKERS AND NON-SMOKERS

Abstract

Relative Aerobic Capacity (RAC, mlO2/kg-min) is a threshold competence when considering people eligible for certain jobs, to measure it indirectly, the field researcher has limited, simple and inexpensive portable equipment. This work is justified by its contribution to the quick and easy diagnosis of the RAC, for the correct location of the healthy worker, in a job that does not exceed its limitations, otherwise it is difficult to prevent accidents and control risks. Objective: to model multivariate regression functions, predictors of RAC in smokers and non-smokers. Methodology: quantitative paradigm, bibliographic design, documentary, epidemiological, cross-sectional type. The regression analysis allowed validating the modeled functions, from which their results were compared against those obtained using methods from the literature on the subject, Results: regression functions, RAC = A - 0,4806(Resting heart rate) - 0,1978(Age) +161,7(Height) - 1,626(Body mass) + 4,29 (Body mass index); where the value of a corresponds to: Male smokers = -182,9; Non-smoking men = - 181,6; female smokers = - 182,7; Non-smoking women = - 181,4. Conclusion: a coefficient of determination R2 = 86,19%, indicates that the proposed model without exercises is an acceptable alternative to direct measurement.