Background: Among the leading causes of work-related disability, musculoskeletal diseases (MSDs) profoundly affect productivity and quality of life. Workplace changes, equipment adjustments, and training courses, among other ergonomic interventions, seek to lower the frequency and degree of MSDs. This systematic review and meta-analysis evaluated whether ergonomic interventions help prevent and control MSDs in various workplace environments. Methods: A systematic search was conducted in PubMed, Scopus, Embase, Web of Science, and Cochrane Library to identify relevant studies. Inclusion criteria included randomized controlled trials (RCTs) that evaluated ergonomic interventions against conventional conditions. Effect sizes were computed using mean differences and pooled using a random-effects model in case of heterogeneity. A uniform Excel sheet was used for data extraction. Revman software (Cochrane Collaboration, Copenhagen, Denmark) was used for statistical analysis. Results: This meta-analysis included 24 RCTs with 4086 workers with different occupations. A meta-analysis of 10 included studies demonstrated lower pain intensity with a mean difference in VAS score between ergonomic interventions and the control group of −0.28 (95%CI: −0.43, −0.14, p = 0.0001). Also, there was a significant reduction in reported MSD-related pain in the lower back with ergonomic interventions with an OR 0.53 (95%CI: 0.40–0.70, p < 0.00001). Moreover, there were statistically significant results for ergonomic interventions in the upper back, ankles, wrists, and neck. In contrast, there were no significant improvements in the thighs, arms, knees, shoulders, and elbows. Conclusions: Our findings support implementing ergonomic strategies as a practical approach to reducing work-related MSDs. However, further research is needed to improve intervention design and long-term effectiveness.

Soft exosuits stand out when it comes to the development of walking-assistance devices thanks to both their higher degree of wearability, lower weight, and price compared to the bulkier equivalent rigid exoskeletons. In cable-driven exosuits, the acting force is driven by cables from the actuation system to the anchor points; thus, the user’s movement is not restricted by a rigid structure. In this paper, a 3D inverse dynamics model is proposed and integrated with a model for a cable-driven actuation to predict the required motor torque and traction force in cables for a walking-assistance exosuit during gait. Joint torques are to be shared between the user and the exosuit for different design configurations, focusing on both hip and ankle assistance. The model is expected to guide the design of the exosuit regarding aspects such as the location of the anchor points, the cable system design, and the actuation units. An inverse dynamics analysis is performed using gait kinematic data from a public dataset to predict the cable forces and position of the exosuit during gait. The obtained joint reactions and cable forces are compared with those in the literature, and prove the model to be accurate and ready to be implemented in an exosuit control scheme. The results obtained in this study are similar to those found in the literature regarding the walking study itself as well as the forces under which cables operate during gait and the cable position cycle.

Background: Work-related injuries remain a considerable global burden; nevertheless, progress in occupational safety has been made in decreasing the time to return to work. This study aimed to assess the pooled incidence of Return to Work (RTW) among workers with occupational injuries and to identify the key factors influencing RTW outcomes. Methods: A systematic review was conducted by searching electronic databases (PubMed, Embase, Cochrane CENTRAL, Web of Science, and Scopus) to include eligible cohorts. Meta-analysis was undertaken using R software 4.5.1 with random-effects models, and heterogeneity was evaluated using the I² statistic. Results: This meta-analysis included 16 cohorts, with 4164 workers. A pooled analysis of 14 studies showed that 79% of workers successfully returned to their jobs after treatment for work-related injuries (95% CI: 0.67–0.88; p < 0.0001; I² = 97.5%). Meta-regression identified age as a significant moderator, with older workers showing a higher incidence of RTW. The mean time to RTW, pooled from 9 studies, was approximately 102 days, with no significant age association (p = 0.222). Regarding predictors, male workers had a significantly higher RTW rate than females (p < 0.0001). Married persons showed greater RTW rates (p < 0.0001). Also, workers with higher education levels were more likely to return to work (p = 0.0033). For injury type, lacerations were related to a greater RTW rate than crushing injuries. Conclusions: This meta-analysis underscored a significant overall return-to-work rate after work-related injuries, with age, sex, marital status, education level, and injury type affecting results. Advanced age and male sex were substantially correlated with increased return-to-work rates. These findings support the necessity for personalized rehabilitation programs and focused support to enhance work reintegration following occupational accidents.