The Factors Related to Preventive Behaviors of Musculoskeletal Disorders Among Computer Workers


  • Prapatsorn Aksornpan Faculty of Nursing, Suratthani Rajabhat University
  • Rungkant Plykaew Faculty of Nursing, Suratthani Rajabhat University


Preventive behaviors, Musculoskeletal disorders, Computer workers


Musculoskeletal disorders (MSDs) are common health problems in computer workers and appropriate behaviors at work are needed. Therefore, this descriptive correlational study aimed to investigate preventive behaviors of MSDs and the relationship between predisposing factors, enabling factors, reinforcing factors, and preventive behaviors of MSDs in computer workers. The samples were 172 support staff working with computer in the selected university. The research instrument used was a five-part questionnaire developed by the researcher, which consisted of 1) personal data; 2) predisposing factors: knowledge, attitude, and self-efficacy; 3) enabling factors: equipment or tools used to support work, health promotion policy of organization, and obtaining health information; 4) reinforcing factors: social support from family members and colleagues; and 5) preventive behaviors of MSDs in computer workers: working posture adjustment, exercise and muscle training, taking breaks during the workday, and stress management. Data collection was carried out from July, 2021 to August, 2021. Data were analyzed by using descriptive statistics and correlation analysis was carried out by using Point Biserial Correlation Coefficients and Pearson Correlation Coefficient. The results of this study revealed that preventive behaviors of MSDs in computer workers were at the moderate level. The factors related to preventive behaviors of MSDs in computer workers showed that predisposing factors including attitude and self-efficacy were significantly correlated at the low and moderate levels, respectively (r = .21 and .39, p < .01). The enabling factors including equipment or tools used to support work were correlated at the low level with statistical significance (r = .22, p < .01). Health promotion policy of organization and obtaining health information were correlated at the moderate levels with statistical significance (r = .39, and .47, p < .01). The reinforcing factors including social support from family members and colleagues were significantly correlated at the moderate level (r = .49, p < .01). The results suggested that occupational health nurses and health care workers should promote the ability to adjust safe working behaviors for computer workers, increase social support, give advices through various media, and set policies for the prevention of MSDs while working with computers in the organization to reduce the risk and severity of MSDs.


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Amirul, F. Z., Aqilah, R., Lee, M. L., Azuhairi, A. A., & Isa, M. M. (2015). Knowledge, attitude and practice of computer vision syndrome among staffs that use video display terminal in a Faculty of Malaysian Public University. International Journal of Public Health and Clinical Sciences, 2(1), 137 -147.

Bumrungwong, K., Klumpakorn, S., & Jirapongsuwan, A. (2015). Factor influencing musculoskeletal disorder prevention behaviors of Thai Massage Practitioners. Journal of Public Health Nursing, 29(1), 15-28. (in Thai)

Chalardlon, T., & Anansirikasem, P. (2013). Work - related musculoskeletal injuries and work safety behaviors among call center workers. Nursing Journal of the Ministry of Public Health, 23(1), 44-59. (in Thai)

Chotejumrus, K. (2016). A study of compliance with occupational safety and environment regulation of employees in AAA (Thailand) Co., Ltd (Master’s thesis, Burapha University). (in Thai) Retrieved from

Division of Occupational and Environmental Diseases, Department of Disease Control. (2019). Status report of diseases and health hazards from occupational and environment, Year 2018. Retrieved from (in Thai)

Green, l. W., & Kreuter, M. W. (2005). Health program planning: An educational and ecological approach (4th ed.). New York: Emily Barrosse.

Jalayondeja, C., Jalayondeja, W., Mekhora, K., Bhuanantanondh, P., Dusadi-Isariyavong, A., & Upiriyasakulet, R. (2017). Break in sedentary behavior reduces the risk of noncommunicable diseases and cardiometabolic risk factors among workers in a Petroleum Company International. Journal of Environmental Research and Public Health, 14(5), 1-9.

Jindo, T., Kai, Y., Kitano, N., Tsunoda, K., Nagamatsu, T., & Arao, T. (2020). Relationship of workplace exercise with work engagement and psychological distress in employees: A cross-sectional study from the MYLS Study. Preventive Medicine Reports, 17, 1-7.

Kaliniene, G., Ustinaviciene, R., Skemiene, L., Vaiciulis, V., & Vasilavicius, P. (2016). Associations between musculoskeletal pain and work-related factors among Public Service Sector Computer Workers in Kaunas County, Lithuania. BMC Musculoskeletal Disorders, 17(420), 1-12.

Khorsandi, M., Sharafkhani, N., & Ranjbaran, M. (2015). Knowledge, self-efficacy, and practice among nurses for prevention of chronic low back pain in Arak, Iran, in 2014. Journal of Occupational Health and Epidemiology, 2(4), 157-164.

Korhan, O., & Memon, A. A. (2019). Introductory chapter: Work-related musculoskeletal disorders. Retrieved from https://

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.

Luger, T., Maher, C. G., Rieger, M. A., & Steinhilber, B. (2019). Reviews work-break schedules for preventing musculoskeletal symptoms and disorders in healthy workers (Review) (9th ed.). New Jersey: John Wiley & Sons.

Mohammadipor, F., Pourranjbar, M., Naderi, S., & Rafie, F. (2018). Work-related musculoskeletal disorders in Iranian office workers: Prevalence and risk factors. Journal of medicine and life, 11(4), 328-333.

National Statistical Office Thailand, Ministry of Digital Economy and Society. (2017). Household information and communication technology use survey, Year 2017. (in Thai) Retrieved from

Phudphong S. (2020). Factors related to oral and dental health care behaviors of the elderly in Muang Sam Sip District, Ubon Ratchathani Province, Journal of health science Boromrajonani College of Nursing Sunpasitthiprasong, 4(1), 101 -119. (in Thai)

Phuengphol, N., Rattanapahira, W., Suksomsong, S., & Thubthimthong, C. (2021). Factors predicting preventive behavioral intention in patients with low back pain at Thai Traditional Medicine Clinic, Sirindhorn College of Public Health, Chonburi. Humanities and Social Science Research Promotion Network Journal, 4(2), 33 - 43. (in Thai)

Promdecha, K. (2016). Relationship among work environment factor, stress management and stress level of University Employees (Master’s thesis, Rajamangala University of Technology Thanyaburi). (in Thai) Retrieved from

Rattanapirom, S., Phoyen, K., & Kerdmongkol, A. (2016). Accident prevention behaviors of the operational employees of BASF Group in Thailand, Journal of Safety and Health, 9(34), 6–19. (in Thai)

Rattanapunya, S., Jaitae, S., Noommeesri, S., Kaewdang, K., & Katonyoo, C. (2016). Preliminary study of risk factors of work-related musculoskeletal disorders among University Staffs, Chiang Mai Rajabhat University. Journal of Safety and Health, 9(34) 20-29. (in Thai)

Rittideah, D., Polyong, C. P., & Kongsombatsuk, M. (2018). Factors predicting discomfort characteristics of neck, shoulder and back pain among employees in private office use computers in Rayong. Journal of the Department of Medical Services, 43(6), 57-63. (in Thai)

Rogers, B. (2003). Occupational and environmental health nursing: Concepts and practice (2nd ed.). Philadelphia: Saunders.

Siangpror, P., Rawiworrakul, T., & Kaewboonchoo, O. (2014). Factors correlated to job stress among nurses in Specialised Cancer Hospitals, Central Region of Thailand. Journal of health science research, 8(1), 17-27. (in Thai)

Social Security Office. (2019). Situation of danger or illness due to work, year 2015 - 2019. (in Thai) Retrieved from /c00433eb3bc63a11720e488101b53d91.pdf

Thato, R. (2008). Nursing research: Concepts to application. Bangkok: Chulalongkorn.

Thongmeekhaun, T., & Saetiaw, S. (2018). Prevention behaviors and risk perceptions of occurrence of computer syndrome among supporting staffs. Journal of Nursing Siam University, 9(37). 69-83. (in Thai)

Tongnuang, P., & Jaisomkom, A. (2019). Factors predicting intention to practice for preventing hypertension in adults. Thai Journal of Cardio-Thoracic Nursing, 30(2), 49-65. (in Thai)

Vimonwattana, N., Sangkapong, T., & Panriansaen, R. (2017). Factors affecting the health promotion behaviors of Professional Nurses in Faculty of Medicine, Vajira Hospital, Navamindradhiraj University. Kuakarun Journal of Nursing, 24(2), 67-81. (in Thai)