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Search: WFRF:(Yang Liyun)

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1.
  • Maimaiti, Nazhakaiti, et al. (author)
  • Cervical musculoskeletal disorders and their relationships with personal and work-related factors among electronic assembly workers
  • 2019
  • In: Journal of Safety Research. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0022-4375 .- 1879-1247. ; 71, s. 79-85
  • Journal article (peer-reviewed)abstract
    • Introduction: Electronics assembly workers are reported to have a high prevalence of musculoskeletal disorders (MSDs). This study investigated the prevalence of cervical MSDs and the complex relationships between cervical MSDs and individual, physical, psychosocial factors among electronics assembly workers. Methods: In this cross-sectional survey, self-administered questionnaires from 700 workers in electronics manufacturing workshops were analysed. Information concerning musculoskeletal symptoms, personal and work-related factors was collected. Finally, the prevalence of cervical MSDs was computed for different subgroups, and the relationships with different factors were analyzed using logistic regression and structural equation modeling (SEM). Results: The total 12 month prevalence of cervical MSDs among the survey population was 29.4%. Variables of gender, job tenure, twisting head frequently, neck flexion/extension for long time and work required to be done quickly showed significant associations with MSDs in a multivariate logistic regression (P < 0.05). The SEM analysis showed moderate and significant correlations between postural load (gamma = 0.279), gender (gamma = 0.233) and cervical MSDs, while there were weak but significant correlations between vibration (gamma = 0.024), work stress (gamma = 0.126), job tenure (gamma = 0.024) and cervical MSDs. Both work stress and vibration affected the MSDs indirectly through postural load. Conclusions: The logistic regression results support previous general epidemiological MSD studies, and indicates that individual, physical, and psychosocial factors are related to cervical MSDs. The SEM provides a better approximation of the complexity of the relationship between risk factors and cervical MSDs. Improving awkward postures may be effective ways to control the influence of occupational stressors or vibration on MSDs. Practical Applications: The study is to improve prevention of MSDs among electronics assembly workers and promote their occupational health.
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2.
  • Abtahi, Farhad, 1981-, et al. (author)
  • Big Data & Wearable Sensors Ensuring Safety and Health @Work
  • 2017
  • In: GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges. - 9781612086040
  • Conference paper (peer-reviewed)abstract
    • —Work-related injuries and disorders constitute a major burden and cost for employers, society in general and workers in particular. We@Work is a project that aims to develop an integrated solution for promoting and supporting a safe and healthy working life by combining wearable technologies, Big Data analytics, ergonomics, and information and communication technologies. The We@Work solution aims to support the worker and employer to ensure a healthy working life through pervasive monitoring for early warnings, prompt detection of capacity-loss and accurate risk assessments at workplace as well as self-management of a healthy working life. A multiservice platform will allow unobtrusive data collection at workplaces. Big Data analytics will provide real-time information useful to prevent work injuries and support healthy working life
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3.
  • Dong, Yidan, et al. (author)
  • Association between long-term static postures exposure and musculoskeletal disorders among university employees : A viewpoint of inflammatory pathways
  • 2022
  • In: Frontiers In Public Health. - : FRONTIERS MEDIA SA. - 2296-2565. ; 10
  • Journal article (peer-reviewed)abstract
    • BackgroundMusculoskeletal disorders (MSDs) are critical occupational and social problems. With the improvement of production mechanization and automation, and the widespread application of computers, more occupations are exposed to static postures and load. This study explored the role of inflammation in the association between static postures exposure and MSDs. MethodsThis study adopted a prospective nested case-control design in which 66 lower back MSDs cases and 66 healthy controls were selected from a cohort study of university employees. The personal information, postural load, musculoskeletal symptoms, pressure pain thresholds (PPTs), and inflammatory cytokines were collected. Logistic and linear regressions were used to investigate the association among postural load, inflammatory cytokines, and lower back MSDs. Mediation analysis was used to calculate the mediation effect. ResultsThe results of logistic and linear regressions showed that postural load and inflammatory cytokines were positively associated with lower back MSDs (P < 0.05), and postural load was positively associated with inflammatory cytokines (P < 0.05). Further, mediation analysis showed that the mediation effect of postural load on the lower back MSDs through TNF-alpha was 0.073 (95%CI: 0.025-0.128), and the mediation effect of posture load on the lower back MSDs through IL-6 was 0.098 (95%CI: 0.041-0.179), respectively. ConclusionStatic postures were associated with the occurrence of MSDs through inflammatory cytokines, and low-level inflammation may be a critical early event in the generation of MSDs. This study may help bridge the gap of potential mechanisms linking static postures to increased risks of MSDs, and provide new evidence for targeted protection against the global increasing MSDs.
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4.
  • Dong, Yidan, et al. (author)
  • Derived patterns of musculoskeletal symptoms and their relationships with ergonomic factors among electronic assembly workers : A latent class analysis
  • 2022
  • In: Journal of Safety Research. - : Elsevier BV. - 0022-4375 .- 1879-1247. ; 82, s. 293-300
  • Journal article (peer-reviewed)abstract
    • Introduction: Multi-site musculoskeletal symptoms (MSS) are considered to be more common and have more serious consequences than single-site MSS. This study aimed to determine whether derived patterns of MSS may be identified in electronic assembly workers and if extracted MSS classes are associated with personal and work-related factors. Method: A cross-sectional questionnaire study was performed with 700 participating electronic assembly workers. The questionnaire included individual factors, psychosocial and physical exposures, and MSS. The derived patterns of MSS and their relationships with ergonomic factors were analyzed using latent class analysis (LCA) and multinomial logistic regression models (MLRM). Results: The 1-year prevalence of MSS affecting only one body site or two or more body sites was 14.9% and 32.7%, respectively. The results of LCA showed three distinct classes of MSS patterns, which were labelled 'MSS in most sites' (5.0%), 'MSS in neck and shoulder' (27.0%), and 'MSS in one or no site' (68.0%). The results of MLRM showed that the 'MSS in neck and shoulder' was associated with job tenure (OR 5.579, 95% CI 2.488-12.511), excessive dynamic and static loads (OR 3.868, 95% CI 1.702- 8.793 and OR 5.270, 95% CI 2.020-13.747, respectively); while the 'MSS in most sites' was associated with high job demands (OR 4.528, 95% CI 1.647-12.445) and excessive dynamic loads (OR 111.554, 95% CI 4.996-2490.793). Conclusions: The results showed unique patterns of MSS among electronic assembly workers that were associated with personal and work-related factors. Practical applications: The findings highlight that the high prevalence of multi-site MSS in this group should be a focus. It also provides further evidence that LCA considering the number and location of anatomical sites involving MSS can be used to determine distinct classes of MSS patterns, which is of great significance for the epidemiological study and management of MSS in the future.
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5.
  • Dong, Yidan, et al. (author)
  • Study on the Associations of Individual and Work-Related Factors with Low Back Pain among Manufacturing Workers Based on Logistic Regression and Structural Equation Model
  • 2021
  • In: International Journal of Environmental Research and Public Health. - : MDPI. - 1661-7827 .- 1660-4601. ; 18:4
  • Journal article (peer-reviewed)abstract
    • Work-related musculoskeletal injuries are one of the major occupational health issues of the workers, especially low back pain (LBP). The aim of this study was to survey the prevalence of LBP among manufacturing workers and to identify associations of individual and work-related factors with LBP. A cross-sectional questionnaire study was performed with 1173 participating manufacturing workers. The questionnaire included individual factors, psychosocial and physical exposures, and musculoskeletal discomfort. It was analyzed by logistic regression and structural equation modeling (SEM). The 1-year prevalence of LBP among Chinese manufacturing workers was 33.6%. Logistic regression analysis showed that job tenure, awkward postures, vibration and job demand were positively-while social support and job control were negatively associated with LBP (p < 0.05). The SEM results indicated that, as shown in other studies, job types, job tenure, postural load, high job demand, low job control and vibration were directly associated with LBP, but also that job types, high job demand, low social support and vibration may have indirect effects on LBP-mediated by postural load.
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6.
  • Fan, Xuelong, et al. (author)
  • Ergonomics and performance of using prismatic loupes in simulated surgical tasks among surgeons – a randomized controlled, cross-over trial
  • 2023
  • In: Frontiers In Public Health. - : Frontiers Media SA. - 2296-2565. ; 11
  • Journal article (peer-reviewed)abstract
    • Introduction: Recently developed prismatic loupes may mitigate the high physical workload and risk of neck disorders associated with traditional surgical loupes among surgeons. However, research in this area, particularly among surgeons, is sparse. This study examines the impact of prismatic loupes on surgeons’ physical workload, musculoskeletal discomfort, and performance during simulated surgical tasks. Materials and methods: Nineteen out of twenty recruited surgeons performed three tasks in a fixed-order with their own loupes and both low-tilt (LT) and high-tilt (HT) prismatic loupes, in a randomized order. The primary outcomes were the median inclination angles and velocities of the head, trunk, and upper arms, along with the median muscle activity of the cervical erector spinae (CES), upper trapezius (UT), and lumbar erector spinae (LES) for each pair of loupes. The secondary outcomes included performance (completion time and errors), perceived body-part discomfort, and subjective evaluation of the three pairs of loupes. Results: Using prismatic loupes, either LT or HT, compared with the surgeons’ own loupes yielded lower head inclinations (all p < 0.001), lower neck muscle activity (all p < 0.05), and lower neck discomfort in indirect comparisons (p < 0.01) with no significant difference in surgical errors (p = 0.628). However, HT loupes resulted in a longer task completion time in two tasks (p < 0.001). Most surgeons preferred LT loupes (N = 12) for their comfort and visual functions. Discussion: The results indicate that prismatic loupes can reduce physical workload in the neck during simulated surgical task, with no significant difference in surgical errors. Future studies are needed to investigate the long-term effects of prismatic loupes among surgeons.
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7.
  • Forsman, Mikael, Professor, et al. (author)
  • A Low-Cost Sensor-Based Smartphone App for Wrist Velocity Measurements
  • 2021
  • In: Lecture Notes in Networks and Systems. - Cham : Springer Nature. ; , s. 763-767
  • Conference paper (peer-reviewed)abstract
    • A quantitative wrist angular velocity to wrist-related disorders relation have been reported in hand intensive work. This velocity has been complicated to measure. A new sensors and smartphone method was developed and tested. The result indicate the prototype as a promising tool, which in the future may support researchers and practitioners in exposure quantification and risk assessment of hand intensive repetitive work tasks.
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10.
  • Forsman, Mikael, Professor, et al. (author)
  • Systematic risk management with RAMP for riskassessment and adapted changes - an implementation study
  • 2022
  • In: NES2022 WORK WELL Conference Proceedings Research. ; , s. 156-157
  • Conference paper (peer-reviewed)abstract
    • RAMP (Risk Assessment and Management tool for manual handling – Proactively), is arisk management tool focusing on manual handling work. Since 2017 RAMP has beenspread to over 105 countries. More than other methods, RAMP supports the entire riskmanagement process. RAMP is based on risk factors documented in scientific literature,and it has been evaluated regarding usability and reliability. It is now used for MSDrisk management in many organisations. The feedback from RAMP users is positive,and there are indications of reductions in sick absence.The purpose of the ongoing project is to investigate a selection of effects thatimplementation entails and to examine the implementation of RAMP from a leadershipand system perspective. Specific questions are: What happens when a companyimplements RAMP? Are the risk factors reduced? What affects the change? Whatstrategies do companies use when implementing RAMP? Are the effects of whichstrategies companies apply when implementing affected? What are the facilitators andbarriers to the implementation of this risk management method?The project is carried out as an implementation study based on mixed methods incollaboration between researchers and four production companies and two FHV actors.The effects and implementation of RAMP will be evaluated by comparing risk levels,qualitative interviews, document analyses, questionnaires and structured observationsof work processes. For changes in risk factors, RAMP risk assessments, which includeobservations and objectivemeasurements of push-pull forces, carried out at baseline andat follow-up will be compared. If possible, in addition to the above data collection, thecompany's own data on sick leave, productivity and quality (eg quality deficiency data)will be included and monitored over time.Implementations and effects of RAMP will be summarized in so-called logicalmodels. These models will identify inputs (e.g. time and resources set aside forimplementation), activities (e.g. training and measures implemented), intermediate(short-term) outcomes (e.g. the extent to which RAMP is used in the systematic workenvironment work and in the entire process for risk management, how much of the highrisks have been reduced, what type of measures have been taken and how the riskawareness has developed among employees), long-term outcomes (e.g. employees'perception of the workload, perceived health and perceived problems), and possiblylong-term outcomes (e.g. changes in sick absence, quality and productivity as well assharing good examples within the organisation).157At this point in the project, the questionnaire has been designed, companies havebeen contacted, and data collection at the first company, that now has assigned animplementation strategy, is about to start.The project is expected to show what effects on the work environment (possibly alsohealth, quality and productivity) that systematic application of the RAMP method canhave, aswell aswhich of the studied factors affect the implementation and to what extentthey do so. The results are expected to lead to new knowledge in the area of systematicrisk management and implementation strategies.
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  • Result 1-10 of 38
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journal article (20)
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peer-reviewed (35)
other academic/artistic (3)
Author/Editor
Forsman, Mikael (17)
Yang, Liyun (14)
Forsman, Mikael, Pro ... (10)
Lu, Ke (8)
Abtahi, Farhad, 1981 ... (7)
Eklund, Jörgen (7)
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Seoane, F. (2)
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Lindecrantz, Kaj (2)
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Högberg, Dan, 1965- (2)
Mahdavian, Nafise (2)
Kjellman, Magnus (2)
Wahlström, Jens (1)
Forsman, M (1)
Wang, S. -J (1)
Rödby, K. (1)
Abtahi, F. (1)
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Jin, X. (1)
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Han, Jing (1)
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Barman, L (1)
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Gupta, Nidhi (1)
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Zhang, Z.-B. (1)
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University
Royal Institute of Technology (37)
Karolinska Institutet (17)
University of Skövde (3)
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