Sources of anthropometric data, specifically body segment inertial parameters, are of critical importance in ergonomics and occupational biomechanics. Current models predicting such anthropometric variables are developed based on data collected in normal-weight young adults. Yet, over 60% of all US workers are either overweight or obese and this obesity epidemic worsens with increasing age with more than 75% of workers over the age of 60 years old being overweight or obese. Thus, there was a need to generate new models to predict body segment parameters that better reflect the working population. The study team developed new datasets of body segment parameters that included body mass index (BMI) as a factor across the age span of working adults using Dual Energy X-Ray Absorption (DXA) methods. More specifically, the goal of the proposed project funded by a NIOSH R01 research grant was twofold: (1) quantify the impact of obesity on body segment parameters in full-time workers aged 21 to 70 years old, and (2) develop BMI-specific regression models for the prediction of body segment parameters in the same population.