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Jain R, Rana K, Meena ML, Verma V. Application of the best-worst method approach for prioritizing risk factors of musculoskeletal disorders among mobile device users: A case study. Work 2022; 73:559-568. [DOI: 10.3233/wor-205148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND: Musculoskeletal disorders (MSDs) are the most common work–related health issues among mobile device (MD) users due to long hour of working during homestay. Various researches have been carried out earlier for identifying the MSD risk factors, though the risk factors’ priority and weightage play an important role for risk management. OBJECTIVE: In the current study, the priority and weightage for MSD risk factor (individual factor, personal factor, psychosocial factor, and subfactors in each factor) were identified using the best–worst method (BWM) for MD users through a case study. METHOD: A framework was proposed for evaluating the risk hierarchy. The rating data provided by decision–makers was analysed using BWM for optimistic risk factor outcomes. A sensitivity analysis was also performed on the prioritized risk factors/subfactors for the consistency check. RESULTS: Research results revealed that personal factor was the most prominent risk factor of MSDs, followed by psychosocial factor and individual factor. Further, the total time spent and gender were identified as most and least dominating risk subfactor of MSDs respectively. The evaluated priority and weightage of MSD risk factors were further validated using sensitivity analysis. CONCLUSION: The obtained outcomes may be helpful in reducing the MSDs risk factors among the MD users by ergonomic improvement.
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Affiliation(s)
- Rahul Jain
- Department of Mechanical Engineering, University Teaching Department, Rajasthan Technical University Kota, Rajasthan, India
| | - K.B. Rana
- Department of Mechanical Engineering, University Teaching Department, Rajasthan Technical University Kota, Rajasthan, India
| | - Makkhan Lal Meena
- Department of Mechanical Engineering, Malaviya National Institute of Technology, Rajasthan, India
| | - Vibhor Verma
- Department of Mechanical Engineering, University Teaching Department, Rajasthan Technical University Kota, Rajasthan, India
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Olson JA, Sandra DA, Colucci ÉS, Al Bikaii A, Chmoulevitch D, Nahas J, Raz A, Veissière SP. Smartphone addiction is increasing across the world: A meta-analysis of 24 countries. COMPUTERS IN HUMAN BEHAVIOR 2022. [DOI: 10.1016/j.chb.2021.107138] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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