International Journal of Occupational Safety and Ergonomics最新文献

Objectives: This study aimed to evaluate the quality, reliability and content of YouTube videos related to office ergonomics.

Methods: The descriptive study analyzed 196 English-language YouTube videos, selected from 752 videos published, using the keywords 'workplace ergonomics' or 'office ergonomics' based on the inclusion and exclusion criteria. The reliability, quality and content of the videos were assessed using the modified DISCERN (mDISCERN), the global quality score (GQS) and the office ergonomics content evaluation checklist (OE-CEC).

Results: Researcher 1 rated 71.5% as low quality, 68.4% as low reliability and 69.4% as insufficient content, while Researcher 2 rated 62.3, 59.8 and 70.9% respectively. mDISCERN and OE-CEC scores were significantly associated with uploader source, subtitle presence and video duration. Content scores were also associated with view ratio and number of comments. The GQS mean showed significant associations with uploader source, duration, view ratio, video power index and number of comments.

Conclusions: YouTube videos on office ergonomics were of low quality, low reliability and insufficient content. Public institutions produced more reliable and higher quality videos, and longer videos contained more comprehensive information. It is recommended that government agencies, universities and occupational health teams are encouraged to produce accurate and reliable videos on office ergonomics.

This study optimizes and predicts the thermal comfort performance of cut-protective fabrics produced from multicomponent hybrid yarns comprising a stainless steel (SS) core, an inner polyester sheath and an outer high-performance polyethylene (HPPE) sheath. A Box-Behnken experimental design was employed to evaluate the effects of SS fibre diameter, HPPE linear density and yarn twist on thermal conductivity and air permeability. Results demonstrated that thermal comfort properties are significantly governed by constituent filament linear density and yarn twist. Second-order regression models provided excellent fits, with R² values of 0.9605 for thermal conductivity and 0.9972 for air permeability. Optimal performance was achieved at SS fibre diameters of 35-40 µm, HPPE linear densities of 350-400 denier and yarn twist levels of 400-450 m^-1, yielding a desirability score of 1.0. Strong agreement between predicted and experimental results confirms the robustness of the developed models.

In order to effectively measure the situational awareness (SA) and performance of forklift drivers, this study delves into the two-by-two relationships among SA, eye movements and performance based on field experiment data. A field experiment was conducted involving 15 forklift drivers who completed three tasks with varying loads. The 3D situation awareness rating technique (SART) questionnaire was developed to calculate each driver's SA score, expert performance ratings were used to assess driver performance, and eye tracking technology was employed to collect real-time eye movement data. Pearson's correlation coefficient was utilized to explore the correlations among these variables. The findings revealed significant correlations between numerous eye-tracking indicators and SA across different subtasks. In certain tasks, some eye-tracking indicators were found to exhibit a significant correlation with performance. Interestingly, no direct correlation between SA and performance was observed. These findings can provide important insights for the assessment of SA and performance.

Objectives. Operators monitoring unmanned forklifts may still experience fatigue despite relatively low physical demands, which can increase cognitive load and pose safety risks. Emotion regulation may buffer fatigue-related impairment, but the mechanisms remain unclear, particularly for two emotion regulation strategies: cognitive reappraisal and expressive suppression. This study examined whether emotion regulation strategies mediate the association between multidimensional fatigue and cognitive load in unmanned forklift monitoring. Methods. Sixty-five participants completed a monitoring task involving unmanned forklift trucks and reported fatigue (task engagement, distress, worry), emotion regulation strategies (cognitive reappraisal, expressive suppression) and cognitive load via self-report scales. Results. Structural equation modeling analysis revealed that higher levels of task engagement - serving as an indicator of fatigue - were associated with higher self-reported propensities for cognitive reappraisal. Moreover, individuals who more frequently employed a cognitive reappraisal strategy reported lower levels of cognitive load. Cognitive reappraisal significantly mediated the relationship between task engagement and cognitive load. Through fuzzy-set qualitative comparative analysis, this study identified four distinct configurations that reduce cognitive load. Conclusion. The findings underscore the importance of emotion regulation for understanding cognitive demands in unmanned forklift scenarios. Future research could expand intervention approaches to better support operators' psychological well-being in such settings.

Objectives. Operative dentistry puts practitioners at risk for musculoskeletal disorders (MSDs) because it involves repetitive tasks and static postures. Although ergonomic principles can reduce these risks, little research has been done on the knowledge, attitudes and practices (KAP) of dental professionals with regard to ergonomics. Methods. Two hundred dentists with at least 2 years of clinical experience in India participated in a questionnaire-based survey. Demographic information, ergonomic KAP and self-evaluation using rapid upper limb assessment (RULA) were gathered in the survey. Regression analysis, analysis of variance and descriptive statistics were used to examine the data. Results. There was a high level of ergonomic awareness: 92.1% of respondents knew how to position chairs and 83.3% understood the significance of lighting. Ergonomics were valued by 83.8% of respondents and training was supported by 79.7%. However, inconsistent practices were observed, especially regarding wrist (p = 0.041) and neck (p = 0.032) posture. Lack of training and poor infrastructure were key barriers. Although ergonomic confidence increased with experience, correlations with knowledge and practice were not statistically significant (p > 0.05). Conclusion. Ergonomic practice is still insufficient despite a wealth of knowledge and optimistic attitudes. To lower MSDs and increase practitioner longevity, structured ergonomic training and better workplace design are crucial.

Objectives. This study aimed to characterize skin surface variations during motion to improve the design of surface electromyography (sEMG) monitoring upper-body training garments. Methods. A combination of the surface tracing method and the body scanning method was employed to measure the skin surface variations on the upper body during 11 dynamic poses, including length changes in both horizontal and longitudinal directions, assessment of area changes within specific subdivisions, and the amplitude of skin strain on the main muscle regions. Results. The mean skin deformation of the participants was analyzed across the different postures. The longitudinal strain at the most protruding part of the elbow exceeds 30% during elbow joint motions, the transverse line at the sleeve cap exhibits a strain of more than 40% and the longitudinal lines under the armpit reach a strain of 80% during shoulder joint motions. Transverse dimensions on the lateral body are always under tension with a maximum strain approaching 20%, while longitudinal dimensions exhibit a strain of more than 50% during lumbar motions. Conclusions. The results indicate an integrated overall design for sEMG monitoring upper-body training garments, including the design of the suit's style, pattern, laminated fabric electrodes and wire layout.

Occupational health and safety risk assessment (OHSRA) is a crucial activity to identify and analyze the risk of occupational hazards for enhancing the well-being and safety of workers. This study aimed to propose a new OHSRA model by combining linguistic distribution preference relations (LDPRs) with the gained and lost dominance score (GLDS) method for evaluating and prioritizing the risk of occupational hazards. LDPRs are employed to capture experts' evaluations on the risk of occupational hazards. An improved method based on the removal effects of criteria (MEREC) is used for deriving the weights of risk criteria. The GLDS method is then modified to determine the risk priority of occupational hazards. Finally, a healthcare case is presented for demonstrating the proposed OHSRA model. The results show that the new model is practical for describing the complex linguistic risk assessments of experts and ranking the risk of occupational hazards in OHSRA.

Objectives. This study aimed to identify factors associated with the Neck Pain-specific Health Behavior in Office Workers (NHBOW) scores, a screening tool to assess health behaviors for preventing neck pain, among healthy office workers. Methods. A cross-sectional online survey using a self-administered questionnaire was conducted among office workers by collecting data on demographics, psychosocial factors, exercise-related self-efficacy, self-regulation, outcome expectations and NHBOW score. Multivariate logistic regression was conducted to determine the factors significantly associated with NHBOW scores. Results. A total of 507 workers completed the questionnaire (1150 invited; 44% response rate). The NHBOW scores were significantly associated with exercise goal-setting (a subscale of the self-regulation) and marital status. High exercise goal-setting scores were significantly associated with better health behaviors (odds ratio [OR] 0.495, 95% confidence interval [CI] [0.372, 0.660], p < 0.001), whereas being divorced was significantly associated with poorer health behaviors (OR 3.586, 95% CI [1.262, 10.191], p = 0.017). Conclusion. The findings suggest that effective health measures should, at a minimum, focus on enhancing exercise goal-setting to prevent non-specific neck pain, while also incorporating support tailored to individuals with differing marital statuses.

To enhance the usability and operational comfort of the control interface in an intelligent coal mining comprehensive system, this study developed a multi-objective optimization model based on six dimensions: hierarchy, correlation, simplicity, comfort, reachability and visibility. The model was solved using a particle swarm optimization algorithm, and the optimized interface was validated through integration of Jack ergonomic simulation and the QN-MHP cognitive modeling approach. Experimental results showed that the optimized interface significantly improved operator performance: task completion time decreased by 16.2%, error rate was reduced by 75.0% and visual search time decreased by 13.2%. Cognitive load was also alleviated, with reduced utilization of the visual subsystem, central processing module and right-hand operation module, accompanied by increased processing speeds. In addition, the optimized layout improved upper-limb comfort and operational efficiency. The proposed method provides theoretical and methodological support for multi-objective optimization and multimodal validation of industrial human-machine interfaces.

Objectives. Understanding working posture among information technologies (IT) professionals can help in specifying postural risks that make this population vulnerable to work-related musculoskeletal pain. This study analysed the working posture and risk of neck disability among IT professionals, as well as identifying their correlations. Methods. After recording demographic data, working posture and neck pain were assessed using rapid upper limb assessment (RULA) and the neck disability index (NDI). Subjects were also evaluated for cervical endurance and neck range of motion using pressure biofeedback and a universal goniometer. Results. In total, 71% of subjects reported mild discomfort, while 6.25% had a serious posture problem in RULA; 47.9% of IT professionals reported positive for neck pain with mild neck disability. Subjects with neck pain showed statistically significant neck disability and reduced left cervical rotation. Finally, the NDI showed a weak negative correlation with neck rotation, and RULA indicated a weak negative correlation with neck lateral flexion and rotation. Conclusion. IT professionals have improper posture at the workstation, with many subjects reporting positive findings for neck pain and mild neck disability. Also, the greater the neck disability and RULA scores, the lower the neck mobility for lateral flexion and rotation.