Simulation data underlying the findings of "Effect of Age-Related Changes in Body Posture on the Musculoskeletal System Load: A Modeling Approach"

This dataset contains simulation results generated using the AnyBody Modeling System and underlies the findings of the manuscript “Effect of Age-Related Changes in Body Posture on the Musculoskeletal System Load: A Modeling Approach”. The simulations were performed within an AnyBody Modeling Study framework, and ground reaction forces (GRFs) were identified using the GRF prediction algorithm implemented in the AnyBody software. The data include joint reaction forces in the lower limb joints normalized to body weight (BW), as well as posture-related input parameters: pelvic tilt (PT), sagittal vertical axis (SVA), and knee flexion angle (KFlex). Normative values of whole-body sagittal alignment in an asymptomatic adult population, as reported by Hu et al., were used as input data for the development of the mathematical model. Simulations of quiet standing posture were conducted across subsequent decades of life (age groups: 20–29, 30–39, 40–49, 50–59, 60–69, 70–79, and 80–89 years) with a gender-based division: female (n = 302, average height: 159.1 cm, average body mass: 54.9 kg) and male (n = 282, average height: 168.5 cm, average body mass: 69.5 kg). In the first stage, simulations incorporated averaged values of individual parameters for each gender and age group. In the second stage, the influence of individual posture-related parameters on musculoskeletal system loading was assessed by performing simulations using mean values as well as values within one standard deviation (mean ± SD). The following simulation variants are included in the dataset: (i) Variant 0 – averaged values of PT, SVA, and KFlex; (ii) Variant 1 – constant SVA and KFlex (mean), with PT varied as mean, mean − SD, and mean + SD; (iii) Variant 2 – constant PT and KFlex (mean), with SVA varied as mean, mean − SD, and mean + SD; and (iv) Variant 3 – constant PT and SVA (mean), with KFlex varied as mean, mean − SD, and mean + SD.