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Volume 12, Issue 4 (Iranian Journal of Ergonomics 2025)
Iran J Ergon 2025, 12(4): 313-323 |
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Mohammadjani Kumeleh S, Rashidi M A, Akbari A. Evaluation of Musculoskeletal Disorders, Mental Workload, General Health, and Occupational Stress Among Office Employees. Iran J Ergon 2025; 12 (4) :313-323
URL: http://journal.iehfs.ir/article-1-1064-en.html
URL: http://journal.iehfs.ir/article-1-1064-en.html
1- Student Research Committee, Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2- Department of Occupational Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran ,eng.a.akbari@gmail.com
2- Department of Occupational Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran ,
Abstract: (3024 Views)
Objectives: Administrative employees are often at risk of developing musculoskeletal disorders due to prolonged computer use. Additionally, frequent interactions with clients expose them to a high mental workload and job stress. The present study aimed to assess the prevalence of musculoskeletal disorders, mental workload, general health, and job stress among administrative employees to improve their working conditions.
Methods: The present work followed a cross-sectional descriptive-analytical method and was conducted on the administrative employees of an engineering company in 2021. Finally, 119 individuals participated in the study using the census method. Demographic information questionnaires, as well as Rapid Office Strain Assessment (ROSA), Cornell, NASA Task Load Index (NASA-TLX), General Health Questionnaire (GHQ), and Health and Safety Executive (HSE)-UK job stress checklists were used to collect data. Data analysis was performed using the SPSS software, employing descriptive statistics, independent t-tests, and one-way analysis of variance (ANOVA).
Results: According to the posture assessment with the ROSA method, the average final ROSA score was 4.33±1.03. Examination of mental load with the NASA-TLX indicated that 78% had a high mental load. In addition, according to the GHQ questionnaire, the average final general health score was 24.4±11.73. Moreover, based on the HSE-UK occupational stress questionnaire, more than 80% (103 people) of employees were under severe stress, and 12% (15 people) were under critical stress. A significant relationship was observed between occupational stress, body mass index (BMI), and age (P<0.05).
Conclusion: The implementation of intervention and control measures to improve musculoskeletal disorders, workload, general health, and job stress seems to be essential.
Methods: The present work followed a cross-sectional descriptive-analytical method and was conducted on the administrative employees of an engineering company in 2021. Finally, 119 individuals participated in the study using the census method. Demographic information questionnaires, as well as Rapid Office Strain Assessment (ROSA), Cornell, NASA Task Load Index (NASA-TLX), General Health Questionnaire (GHQ), and Health and Safety Executive (HSE)-UK job stress checklists were used to collect data. Data analysis was performed using the SPSS software, employing descriptive statistics, independent t-tests, and one-way analysis of variance (ANOVA).
Results: According to the posture assessment with the ROSA method, the average final ROSA score was 4.33±1.03. Examination of mental load with the NASA-TLX indicated that 78% had a high mental load. In addition, according to the GHQ questionnaire, the average final general health score was 24.4±11.73. Moreover, based on the HSE-UK occupational stress questionnaire, more than 80% (103 people) of employees were under severe stress, and 12% (15 people) were under critical stress. A significant relationship was observed between occupational stress, body mass index (BMI), and age (P<0.05).
Conclusion: The implementation of intervention and control measures to improve musculoskeletal disorders, workload, general health, and job stress seems to be essential.
Keywords: Administrative staff, General health, Job stress, Mental workload, Musculoskeletal disorder
Type of Study: Research |
Subject:
Musculoskeletal Disorders
Received: 2025/01/13 | Accepted: 2025/02/28 | ePublished: 2025/02/28
Received: 2025/01/13 | Accepted: 2025/02/28 | ePublished: 2025/02/28
References
1. Akhlaghi Pirposhteh E, Golrokh F, Ebrahimi HR, Salehi Sahl Abadi A. The prevalence of musculoskeletal disorders among administrative and service staff of selected hospitals of Shahid Beheshti University of Medical Sciences and their associated risk factors. Health and Development Journal. 2020;9(2):124-36.
2. Riyahi A, Pooryamanesh L, Tanha F, Moradzadeh R. Studying musculoskeletal disorders prevalence and its associated factors among education office employees in Arak in 2016-17: A Descriptive Study. Journal of Rafsanjan University of Medical Sciences. 2019;17(10):913-24.
3. Pourtaghi G, Karimi Zarchi A, Valipour F, Assari A. Ergonomic assessment using RULA technique in determining the relationship between musculoskeletal disorders and ergonomic conditions for administrative jobs in a military center. Journal of Military Medicine. 2015;17(3):155-62.
4. Bahrami M, Sadeghi M, Dehdashti A, Karami M. Assessment of the effectiveness of ergonomics training on the improvement of work methods among hospital office staff. Iranian Journal of Ergonomics. 2018;6(2):34-45. [DOI:10.30699/jergon.6.2.34]
5. Nasiri I, Motamedzade M, Golmohammadi R, Faradmal J. Assessment of risk factors for musculoskeletal disorders using the Rapid Office Strain Assessment (ROSA) Method and implementing ergonomics intervention programs in Sepah Bank. Journal of Health and Safety at Work. 2015;5(2):47-62.
6. Jandaghi G, Fard SM, Sharahi IC, Rajabi M. Investigation the relationship between job traits and job stress (Case study: Shahed University staff and professors). Australian Journal of Business and Management Research. 2011;1(5):24. [DOI:10.52283/NSWRCA.AJBMR.20110105A04]
7. MZ NA, Huda BZ, Hejar AR. Job stress and its determinants among academic staff in a university in Klang Valley, Malaysia. International Journal of Public Health and Clinical Sciences. 2016;3(6):125-36.
8. Rashidi MA, Vosoughi S, Pournajaf A, Faraji M, Pournajaf M, Kazemi M. Investigative of the Relationship between job Stress and General Health among staffs of Ilam University of Medical Sciences in 2015. Iran Occupational Health. 2020;17(1):305-20.
9. Sahlabadi AS, Gandomani EA, Balochkhaneh FA, Kordmiri SH. The Effect of Mental Workload on Job Performance with the Mediating Role of Job Stress. Journal of Occupational Hygiene Engineering. 2022 ;9(1). [DOI:10.61186/johe.9.1.19]
10. Vasilouee V, Karimi A, Talebi S. Evaluation the Relationship between Mental Workload and Fatigue in Shahroud Bank Employees. Occupational Hygiene and Health Promotion. 2022 ;6(2):208-19. [DOI:10.18502/ohhp.v6i2.10307]
11. Sonne M, Villalta DL, Andrews DM. Development and evaluation of an office ergonomic risk checklist: ROSA- Rapid office strain assessment. Applied ergonomics. 2012;43(1):98-108. [DOI:10.1016/j.apergo.2011.03.008] [PMID]
12. Afifehzadeh-Kashani H, Choobineh A, Bakand S, Gohari MR, Abbastabar H, Moshtaghi P. Validity and reliability of farsi version of Cornell Musculoskeletal Discomfort Questionnaire (CMDQ). Iran Occupational Health. 2024; 7 (4):69-75.
13. Bakhshi Z, Motamedzade M, Farhadian M. Assessing the Mental Workload of staff in a Bank in Hamadan by NASA -TLX Method. Occupational Hygiene and Health Promotion 2021;5(1): 50 -59. [DOI:10.18502/ohhp.v5i1.6211]
14. Moreta-Herrera R, Dominguez-Lara S, Vaca-Quintana D, Zambrano-Estrella J, Gavilanes-Gómez D, Ruperti-Lucero E, Bonilla D. Psychometric properties of the General Health Questionnaire (GHQ-28) in Ecuadorian college students. Psihologijske teme. 2021;30(3):573-90. [DOI:10.31820/pt.30.3.9]
15. AzadMarzabadi E, GholamiFesharaki M. Reliability and validity assessment for the HSE job stress questionnaire. Journal of Behavioral Sciences 2011; 4 (4):291-97.
16. Allahyari E, Gholami A, Arab-Zozani M, Ameri H, Nasseh N. Using emotional intelligence to predict job stress: Artificial neural network and regression models. Journal of Health and Safety at Work. 2021;11(3):516-28.
17. Matos M, Arezes PM. Ergonomic evaluation of office workplaces with Rapid Office Strain Assessment (ROSA). Procedia Manufacturing. 2015; 3:4689-94. [DOI:10.1016/j.promfg.2015.07.562]
18. Mirmohammadi T, Gook O, Mousavinasab N, Mahmoodi Sharafe H. Investigating the prevalence of musculoskeletal disorders in melli bank staff and determining its relationship with office tension in North Khorasan province in 2019. Iranian Journal of Ergonomics. 2020;7(4):31-9. [DOI:10.30699/jergon.7.4.31]
19. Prabaswari AD, Basumerda C, Utomo BW. The mental workload analysis of staff in study program of private educational organization. InIOP Conference Series: Materials Science and Engineering 2019 May 1 (Vol. 528, No. 1, p. 012018). IOP Publishing. [DOI:10.1088/1757-899X/528/1/012018]
20. Heidari M, Hasani P, Shirvani M. Evaluation of the general health status and its related factors in medical staffs of Borujen Valyasr Hospital. Community Health Journal. 2017;7(1):42-9.
21. Bolliger L, Lukan J, Colman E, Boersma L, Luštrek M, De Bacquer D, Clays E. Sources of occupational stress among office workers-a focus group study. International Journal of Environmental Research and Public Health. 2022;19(3):1075. [DOI:10.3390/ijerph19031075] [PMID]
22. Basit A, Hassan Z. Impact of job stress on employee performance. International Journal of Accounting and Business Management. 2017;5(2):13-33.
23. Sethi J, Sandhu JS, Imbanathan V. Effect of Body Mass Index on work related musculoskeletal discomfort and occupational stress of computer workers in a developed ergonomic setup. Sports Medicine, Arthroscopy, Rehabilitation, Therapy & Technology. 2011 Dec;3(1):1-7. [DOI:10.1186/1758-2555-3-22] [PMID]
24. Kouvonen A, Kivimaki, Cox SJ, Cox T, Vahtera J: Relationship between work stress and body mass index among 45,810 female and male employees. Psychosom Med. 2005;67(4):577-83. [DOI:10.1097/01.psy.0000170330.08704.62] [PMID]
25. Ferasati F, Jalilian M. Evaluation of WMSDs in VDT users with Rapid office strain assessment (ROSA) method. Iranian Journal of Ergonomics. 2014;1(3):65-74.
26. Syafiq I, Hajar S, Andy O. The Association Of The Level Of Discomfort And Workstation Design Among Desk Job WorERSers In The Telecommunication Industry. Proceeding of International Conference on Science, Health, And Technology 2023: 87-92. [DOI:10.47701/icohetech.v4i1.3377]
27. Shariat A, Cleland JA, Danaee M, Kargarfard M, Moradi V, Tamrin SB. Relationships between cornell musculoskeletal discomfort questionnaire and online rapid office strain assessment questionnaire. Iranian journal of public health. 2018;47(11):1756.
28. Mohammadi Ali Abadi F, Shamsaei F, Tapak L. Relationship between mental workload and mental health of nurses caring for patients with Covid-19. Scientific Journal of Nursing, Midwifery and Paramedical Faculty. 2022;8(2):15-30.
29. Mousavi SM, Yazdanirad S, Naeini MJ, Khoshakhlagh A, Haghighat M. Determining the effect of selected mental factors on turnover intention through two modulators-stress and resilience over COVID-19 period. BMC Health Services Research. 2023;23(1):366. [DOI:10.1186/s12913-023-09268-z] [PMID]
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