Search Results (293)

Objectives: The aim of this study was to evaluate the impact of four working heights on lumbar biomechanics during wall construction tasks, focusing on work-related musculoskeletal disorders (WMSDs). Methods: Fifteen young male participants performed simulated mortar-spreading and bricklaying tasks while actual body movements were recorded using Inertial Measurement Unit (IMU) sensors. Muscle activities of the lumbar erector spinae (ES), quadratus lumborum (QL), multifidus (MF), gluteus maximus (GM), and iliopsoas (IL) were estimated using a 3D musculoskeletal (MSK) model and measured via surface electromyography (sEMG). The analysis of variance (ANOVA) test was conducted to identify the significant differences in muscle activities across four working heights (i.e., foot, knee, waist, and shoulder). Results: Findings showed that working at foot-level height resulted in the highest muscle activity (7.6% to 40.6% increase), particularly in the ES and QL muscles, indicating an increased risk of WMSDs. The activities of the ES, MF, and GM muscles were statistically significant across both tasks and all working heights (p < 0.01). Conclusions: Both MSK and sEMG analyses indicated significantly lower muscle activities at knee and waist heights, suggesting these as the best working positions (47 cm to 107 cm) for minimizing the risk of WMSDs. Conversely, working at foot and shoulder heights was identified as a significant risk factor for WMSDs. Additionally, the similar trends observed between MSK simulations and sEMG data suggest that MSK modeling can effectively substitute for sEMG in future studies. These findings provide valuable insights into ergonomic work positioning to reduce WMSD risks among wall construction workers. Full article

Work-related musculoskeletal disorders (WMSDs) are a leading concern in industrial ergonomics, often stemming from sustained non-neutral postures and repetitive tasks. This paper presents a vision-based framework for real-time, frame-level ergonomic risk classification using a lightweight Vision Transformer (ViT). The proposed system operates directly on raw RGB images without requiring skeleton reconstruction, joint angle estimation, or image segmentation. A single ViT model simultaneously classifies eight anatomical regions, enabling efficient multi-label posture assessment. Training is supervised using a multimodal dataset acquired from synchronized RGB video and full-body inertial motion capture, with ergonomic risk labels derived from RULA scores computed on joint kinematics. The system is validated on realistic, simulated industrial tasks that include common challenges such as occlusion and posture variability. Experimental results show that the ViT model achieves state-of-the-art performance, with F1-scores exceeding 0.99 and AUC values above 0.996 across all regions. Compared to previous CNN-based system, the proposed model improves classification accuracy and generalizability while reducing complexity and enabling real-time inference on edge devices. These findings demonstrate the model’s potential for unobtrusive, scalable ergonomic risk monitoring in real-world manufacturing environments. Full article

Background: Musculoskeletal disorders significantly affect healthcare professionals, particularly physiotherapists, due to the physical demands of their work. The link between physical ailments and psychological distress is especially prominent in clinical settings. Objectives: To assess the prevalence of work-related low back pain (LBP), stress, anxiety, and depression among physiotherapists in Saudi Arabia, and to identify associated local risk factors. Methods: A cross-sectional study using convenience sampling included 710 licensed physiotherapists across Saudi Arabia. Participants completed an online survey containing demographic data and the validated measures, including the Visual Analog Scale (VAS) for pain, the Oswestry Disability Index (ODI), and the Depression, Anxiety, and Stress Scale-21 (DASS-21) for psychological distress. Data were analysed using descriptive statistics, chi-square tests, correlation, and regression analyses. Results: Of 710 responses, 697 were valid; 378 physiotherapists reported work-related LBP. The mean pain intensity was 4.6 (SD = 1.6), with 54.2% experiencing moderate to severe disability. Mental health results showed 49.7% had depressive symptoms and 33.9% experienced some level of anxiety. Significant correlations were observed between disability and psychological distress (anxiety: r = 0.382; depression: r = 0.375; stress: r = 0.406; all p < 0.001). Regression analyses indicated psychological distress significantly predicted disability, with R² values ranging from 0.125 to 0.248, being higher among inpatient physiotherapists. Conclusions: This study reveals a high prevalence of LBP and psychological distress among Saudi physiotherapists, with stress being the strongest predictor of LBP severity. Integrated ergonomic and mental health interventions, including workplace wellness programs and psychological support, are recommended to reduce risks and promote a healthier, more sustainable physiotherapy workforce. Full article

Work-related musculoskeletal disorders (WMSDs) are among the most prevalent occupational health issues, particularly affecting public transport drivers due to prolonged sitting, constrained postures, and poorly adaptable cabins. This study addresses the ergonomic risks associated with tram driving, aiming to evaluate biomechanical load and postural stress in relation to drivers’ anthropometric characteristics. A combined methodological approach was applied, integrating two standardized observational tools—RULA and REBA—with anthropometric modeling based on three representatives European morphotypes (SmallW, MidM, and TallM). ErgoFellow 3.0 software was used for digital posture evaluation, and lumbar moments at the L4/L5 vertebral level were calculated to estimate lumbar loading. The analysis was simulation-based, using digital human models, and no real subjects were involved. The results revealed uniform REBA (Rapid Entire Body Assessment) and RULA (Rapid Upper Limb Assessment) scores of 6 across all morphotypes, indicating moderate to high risk and a need for ergonomic intervention. Lumbar moments ranged from 51.35 Nm (SmallW) to 101.67 Nm (TallM), with the tallest model slightly exceeding the recommended ergonomic thresholds. These findings highlight a systemic mismatch between cabin design and user variability. In conclusion, ergonomic improvements such as adjustable seating, better control layout, and driver education are essential to reduce the risk of WMSDs. The study proposes a replicable methodology combining anthropometric, observational, and biomechanical tools for evaluating and improving transport workstation design. Full article

Background/Objectives: Public transportation drivers are exposed to a variety of occupational hazards. The scope of this study is to describe the most significant changes in symptoms and work-related disorders in the last decade in a sample of professional drivers from a large Romanian city, and, in particular, the cardio-metabolic and musculoskeletal impact. Methods: A retrospective study on 186 professional tram, trolley, and bus drivers from a total number of 344 employed by the company was conducted. The initial values (pre-employment) of the BMI, blood pressure, cholesterol, fasting glycemia, and musculoskeletal complaints were compared to the values of the last employment check-up. Results: After an average follow-up period of 11 years, BMI increased from 27.69 (SD = 4.68) to 30.06 (SD = 5.2) (p < 0.0001), cholesterol from 201.7 (SD = 39.87) to 212.62 (SD = 42.51), (p = 0.04). The number of cases of high blood pressure (25 to 56, p < 0.0001) and musculoskeletal complaints increased from 3 initial cases to 26 cases of neck pain (p = 0.07), from 2 to 49 cases of dorsal pain (p = 0.02), and from 18 to 59 cases of lumbar pain (p < 0.0001). High blood pressure and low back pain were significantly correlated with tenure, independent of other factors. Conclusions: As tenure is important in the development of cardiovascular and musculoskeletal diseases, specific interventions should be developed in the early stages of the drivers’ career. Full article

(1) Background: Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern in the construction industry owing to the physically demanding tasks and poor ergonomic conditions present. Limited data exist on the prevalence of WMSDs and their ergonomic determinants among construction workers in India. This study investigated the prevalence of work-related musculoskeletal disorders (WMSDs) and the associated ergonomic risk factors among construction workers in India. (2) Methods: This cross-sectional study was conducted among 250 construction workers in India. Data on musculoskeletal disorders were collected using the Nordic Musculoskeletal Questionnaire (NMQ), and ergonomic risk was assessed using the Rapid Entire Body Assessment (REBA) tool. Logistic regression was used to identify factors associated with WMSDs, and Spearman’s correlation was used to assess the relationship between the REBA scores and the number of affected body regions. (3) Results: The prevalence of WMSDs was 60.4%. The most affected regions were the lower back (48%), knees (45%), shoulders (40%), and the neck (30%). The REBA scores indicated that 60% of the workers were at high or very high ergonomic risk and 30% at medium risk. Workers in the high/very high-risk category had significantly higher odds of developing WMSDs (OR = 4.5, 95% CI: 1.8–11.2, p = 0.001). Age above 40 years was also significantly associated with WMSDs (OR = 3.5, 95% CI: 1.2–10.2, p = 0.02). (4) Conclusions: This study demonstrated a high prevalence of WMSDs among Indian construction workers and established a clear association with poor ergonomic conditions. Targeted ergonomic interventions, including posture improvement, tool redesign, and safety training, are essential for reducing the risk of WMSDs in this population. Full article

Introduction: Musculoskeletal disorders (MSDs) are a significant occupational health concern worldwide, particularly among healthcare professionals such as laboratory technicians. MSDs lead to chronic pain, decreased productivity, and reduced quality of life. This study aimed to investigate the prevalence of MSDs and associated ergonomics risk factors among Saudi clinical laboratory technicians. Methodology: This cross-sectional study was conducted on 167 clinical laboratory technicians in Taif city, Saudi Arabia. Data were collected through an online self-administered questionnaire, distributed via Google Forms. The questionnaire collected demographics information, assessed the prevalence of musculoskeletal pain using the Nordic Musculoskeletal Questionnaire (NMQ), and evaluated ergonomics risk factors using the Dutch Musculoskeletal Questionnaire (DMQ). Results: In total, 77.3% of the sample exhibited musculoskeletal issues in the last 12 months, with lower back (52.1%), neck (48.5%), and shoulders (40.7%) being the most frequent muscular complaints among laboratory technicians. Experience and nationality showed significant associations with MSDs (p ≤ 0.05). Lower back and neck complaints were commonly recorded with multiple laboratory tasks, including sustained sitting and standing and repetitive movement, whereas lower back and shoulder pain were notably prevalent with pipetting work. Conclusions: Work-related musculoskeletal disorders were highly apparent in laboratory practice. Periodic ergonomic training is mandated among laboratory personnel to limit occupational disability. Full article

Background: Work-related musculoskeletal disorders (WMSDs) are very prevalent among surgeons worldwide. The aim was to investigate the overall and body area WMSD prevalence (proportion of surgeons suffering from WMSD during their practice) by continent throughout a systematic review and meta-analysis. Methods: Three open databases were scanned without a date limit until 31 December 2024 to select relevant studies. The results were reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results: Among the 20,486 items, 68 articles with a total of 17,188 surgeons were included, distributed as follows: 36 studies in America, 15 in Asia, 16 in Europe, and 1 in Oceania. Overall prevalence was 77.6% in Asia (95% CI: 67.3–87.9%), 73.1% in Europe (95% CI: 60.3–86.0%), and 62.8% in America (95% CI: 57.0−68.6%). The most exposed areas were the neck, upper and lower back, and shoulder, with prevalence ranging from 30 to 50%. The ranking differed according to continent. In America, neck/shoulder WMSD and overall prevalence were negatively correlated to years of experience (r² = 0.182 and r² = 0.240, p < 0.05) and to the number of cases treated per week prevalence (r² = 0.794, p < 0.05), respectively. A positive correlation was observed between the elbow WMSD prevalence and age (r² = 0.365, p < 0.05). In Europe, a negative correlation was highlighted between the overall WMSD prevalence and age (r² = 0.599, p < 0.05). Another positive correlation was identified between shoulder WMSD prevalence and years of experience (r² = 0.735, p < 0.05). Conclusions: To improve surgeons’ quality of work life, further research is needed to develop ergonomic programs, organizational work strategies, and assistive devices. Full article

Long-term manual material handling (MMH) work leads to the trend of the younger onset of work-related musculoskeletal disorders (WMSDs), with low back pain (LBP) being the most common, which causes great trouble for both society and patients. To effectively prevent LBP and provide support for workers engaged in MMH work, wearable lumbar assistive exoskeletons have played a key role in industrial scenarios. This paper divides wearable lumbar assistive exoskeletons into powered, unpowered, and quasi-passive types, systematically reviews the research status of each type of exoskeleton, and compares and discusses the key factors such as driving mode, mechanical structure, control strategy, performance evaluation, and human–machine interaction. It is found that many studies focus on the assistive performance, human–machine coupling coordination, and adaptability of wearable lumbar assistive exoskeletons. At the same time, the analysis results show that there are many types of performance evaluation indicators, but a unified and standardized evaluation method and system are still lacking. This paper analyzes current research findings, identifies existing issues, and provides recommendations for future research. This study provides a theoretical basis and design ideas for the development of wearable lumbar assistive exoskeleton systems. Full article

Work-related musculoskeletal disorders (WMSDs) are common in the agricultural industry due to repetitive tasks, like plant transplanting, which involve sustained bending, squatting, and awkward postures. This study uses wearable sensors to evaluate human biomechanics during simulated transplanting and assesses the potential of collaborative robot (cobot) assistance to reduce physical strain. Sixteen participants performed transplanting tasks under manual and cobot-assisted conditions. Kinematic and electromyographic (EMG) data were collected using Xsens motion capture and Trigno EMG systems. Cobot assistance significantly reduced the segment velocity and acceleration in key spinal regions (L5/S1, L1/T12, T1/C7), indicating lower dynamic spinal loading. It also altered muscle activation, decreasing biceps brachii use while increasing activation in stabilizing muscles such as the flexor carpi radialis, brachioradialis, and upper trapezius. Task duration decreased by 59.46%, suggesting improved efficiency. These findings highlight cobots’ potential to enhance ergonomic outcomes by encouraging controlled movements and reducing postural stress. However, the shift in muscle activation underscores the need for task-specific cobot tuning. This research supports the use of integrated IMU and EMG systems to inform cobot design and enable real-time biomechanical monitoring in labor-intensive settings. Full article

Aircraft mechanical maintenance involves high loads, repetitive movements, and awkward postures, significantly increasing the risk of work-related musculoskeletal disorders (WMSDs). Traditional static evaluation methods based on posture analysis fail to capture the complexity and dynamic nature of these tasks, limiting their applicability in maintenance settings. To address this limitation, this study introduces a novel quantitative WMSD risk assessment model that leverages 3D motion data collected through an optical motion capture system. The model evaluates dynamic human postures and employs an inverse trigonometric function algorithm to quantify the loading effects on working joints. Experimental validation was conducted through quasi-real-life scenarios to ensure the model’s reliability and applicability. The findings demonstrate that the proposed methodology provides both innovative and practical advantages, overcoming the constraints of conventional assessment techniques. Specifically, it enables precise quantification of physical task loads and enhances occupational injury risk assessments. The model is particularly valuable in physically demanding industries, such as aircraft maintenance, where accurate workload and fatigue monitoring are essential. By facilitating real-time ergonomic analysis, this approach allows managers to monitor worker health, optimize task schedules, and mitigate excessive fatigue and injury risks, ultimately improving both efficiency and workplace safety. Full article

(1) Background: The meatpacking industry in Brazil is vital for economic growth. It poses significant occupational health risks, particularly Work-Related Musculoskeletal Disorders (WMSDs). The present study analyzes the profile of slaughterhouse workers based on the governmental notification database. (2) Methods: The socio-demographic dataset (n = 820) was filled with worker data, and health profiles reported Repetitive Strain Injuries (RSI) and WMSDs from 2007 to 2019, available online by the Brazilian Health Service. The dataset was analyzed to identify patterns of injuries and contributing factors. Descriptive statistics outlined worker characteristics, while Analysis of Variance (ANOVA) explored associations between variables. (3) Results: The results revealed that 51.34% of workers were male, with most aged 30–45. Repetitive movements were reported by 89.63% of respondents, while 78.90% worked shifts exceeding six hours. Soft tissue disorders were the most prevalent diagnosis (40.97%). The majority (53.17%) experienced temporary disabilities, and 5.73% had permanent impairments. Key risk factors included inadequate breaks, stressful environments, and limited ergonomic adaptations. This study highlights the critical need for preventative measures, such as ergonomic interventions, adequate rest breaks, and employee education, to mitigate WMSDs. Future research should include ergonomic evaluations and consider broader organizational variables to enhance slaughterhouse occupational health and safety. Addressing these challenges is essential for improving worker welfare and maintaining industry productivity. Full article

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. Full article

Nurses are highly exposed to work-related musculoskeletal disorders (WMSDs). Several studies on this have been carried out in different Asian countries, but no synthesis was conducted. The aim of this study was to map the evidence of WMSDs among nurses in Asia. A systematic review and a meta-analysis with subgroups were performed during October 2024. Five open databases were scanned without a date limit. The article selection and data extraction processes were performed independently by two reviewers. The results report was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Among the 15,751 unique identified records, 40 studies were included, covering a total of 19,903 Asian nurses. A high heterogeneity (Cochran’s Q test and I² statistic) was evidenced between the studies. The meta-analysis polled an overall prevalence of 84.3% (95% CI: 81.1–87.4%). The lower back (58.4%, 95% CI: 52.9–63.8%), neck (45.7%, 95% CI: 38.1–53.2%) and shoulder (43.0%, 95% CI: 36.2–49.9%) were the three most exposed areas. Subgroup analyses have shown that the presence of WMSD is steadily increasing, and that years of practice reduce the exposure of the neck and shoulder, while the lower back becomes more exposed. Further efforts are needed to prevent WMSDs among Asian nurses, in order to improve their quality of life at work. Full article

Work-related musculoskeletal disorders (WMSDs) are a significant public health concern, particularly in professions requiring prolonged static postures. Objectives: This study examined the influence of demographic and occupational factors on the WMSD prevalence and provides evidence-based recommendations for workplace health improvements. Methods: A cross-sectional study (July–September 2024) surveyed 80 office employees in Varna, Bulgaria, using the Prevent 4 Work (P4Wq) questionnaire. ANOVA and t-tests assessed the WMSD prevalence across demographics, while Pearson’s correlations examined associations with age, BMI, and work experience. Data were analyzed in Jamovi v.2.6 (p < 0.05). Results: The sample (92.5% women, mean age 47.2 years) reported a high WMSD prevalence, with cervical pain (88.8%), lower back pain (83.8%), and shoulder pain (75.0%) being the most common. Work experience, age, and BMI were significantly correlated with WMSD severity, while gender showed no significant associations. Conclusions: WMSDs are highly prevalent among office employees, with lower back, neck, and shoulder pain being the most common complaints. Factors such as higher BMI, longer work experience, and increased workload are associated with greater symptom severity. These results emphasize the urgent need for targeted workplace interventions aimed at reducing ergonomic risks, improving posture, and enhancing employee well-being, ultimately fostering a healthier and more productive work environment. Full article