The evaluation of gait biomechanics using portable inertial measurement units (IMUs) offers real-time feedback and has become a crucial tool for detecting gait disorders. However, many of these devices have not yet been fully validated. The aim of this study was to assess the concurrent validity and relative reliability of the RunScribe™ system for measuring spatiotemporal gait parameters during walking. A total of 460 participants (age: 36 ± 13 years; height: 173 ± 9 cm; body mass: 70 ± 13 kg) were asked to walk on a treadmill at 5 km·h⁻¹. Spatiotemporal parameters of step frequency (SF), step length (SL), step time (ST), contact time (CT), swing time (SwT), stride time (StT), stride length (StL) and normalized stride length (StL%) were measured through RunScribe™ and OptoGait™ systems. Bland–Altman analysis indicated small systematic biases and random errors for all variables. Pearson correlation analysis showed strong correlations (0.70–0.94) between systems. The intraclass correlation coefficient supports these results, except for contact time (ICC = 0.64) and swing time (ICC = 0.34). The paired t-test showed small differences in SL, StL and StL% (≤0.25) and large in CT and SwT (1.2 and 2.2, respectively), with no differences for the rest of the variables. This study confirms the accuracy of the RunScribe™ system for assessing spatiotemporal parameters during walking, potentially reducing the barriers to continuous gait monitoring and early detection of gait issues.

Background: Prolonged standing is common in manufacturing and assembly‐line work and is associated with musculoskeletal discomfort, especially in the lower limbs and spine. The influence of foot posture, morphology, and plantar loading patterns on this discomfort remains unclear. Objective: To analyze the associations between foot posture, plantar pressure, and 3D foot morphology with work‐related musculoskeletal discomfort in standing workers and to examine the role of BMI and the potential modifying role of sex. Methods: A cross‐sectional study was conducted among 240 assembly‐line workers (129 women, 53.8%). Musculoskeletal discomfort was assessed using the Cornell Musculoskeletal Discomfort Questionnaire (CMDQ). Foot posture (FPI‐6), baropodometry (FreeMed), and 3D foot morphology (DOMESCAN) were evaluated under standardized conditions. Participants were classified as having low (CMDQ ≤ 10) or moderate–high (≥ 11) discomfort. Firth‐penalized logistic regression analyzed associations between overall CMDQ discomfort, foot posture, sex, and BMI, including an FPI × sex interaction term. Results: All workers reported at least one musculoskeletal discomfort response, with the feet, neck, and lumbar region accounting for the largest proportions of reported discomfort. Among women, pronated foot posture was associated with higher odds of moderate–high overall CMDQ discomfort (OR = 2.91, 95% CI 1.10–7.28). Overweight/obesity status was associated with higher odds of foot and hip/gluteal discomfort, whereas, among women, pronated foot posture was associated with greater odds of lumbar discomfort. The pronation–discomfort association was stronger in women and attenuated in men. Conclusions: Among women, pronated foot posture was associated with greater overall work‐related musculoskeletal discomfort during prolonged standing and with greater odds of lumbar discomfort, whereas overweight/obesity status was associated with greater odds of foot and hip/gluteal discomfort. The pronation–discomfort association was attenuated in men. From an occupational‐health perspective, incorporating foot‐posture and BMI assessment into ergonomic evaluations may help identify workers who could benefit from more individualized preventive strategies, particularly women with pronated feet.