Validity and Reliability Test of the Office Syndrome Screening Questionnaire
Abstract
Office Syndrome is increasingly common due to sedentary work environments and inadequate ergonomic practices. This condition is characterized by a variety of symptoms, such as musculoskeletal pain, visual fatigue, sensory disturbances, sleep disturbances, and mental stress, which impact workers’ health and reduce productivity. However, the assessment of this condition is often hampered by the lack of comprehensive and standardized measurement tools. This study aims to develop and test the validity and reliability of an office syndrome screening questionnaire that covers seven dimensions: physical pain, muscle fatigue, visual fatigue, sensory disturbances, decreased productivity, sleep disturbances, and mental stress. The study was conducted cross-sectionally involving 47 office workers in the Jababeka area, Cikarang, who met the inclusion criteria. Data were collected using a questionnaire that was filled out independently via Google Form. Validity testing was carried out using Pearson correlation analysis (items are valid if r > 0.3 and p < 0.05), while reliability testing used Cronbach’s Alpha (reliable if α > 0.7). The results showed that all items had a significant correlation to the total score (p < 0.05), with correlation values ranging from 0.416 to 0.697. The highest correlation was found in the items "Decreased work efficiency" (r = 0.697) and "Difficulty concentrating" (r = 0.673), while the item "Muscle tension" had the lowest correlation (r = 0.416) but was still valid. The overall Cronbach's Alpha was 0.745, indicating good reliability. This screening questionnaire was proven to be valid and reliable to measure symptoms of office syndrome comprehensively.
References
ACTRN12619000057189. (2019). Spectacle interventions for treating eye strain with computer use. Https://Trialsearch.Who.Int/Trial2.Aspx?TrialID=ACTRN12619000057189.
Alberdi, A., Aztiria, A., & Basarab, A. (2016). Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review. Journal of biomedical informatics, 59, 49-75. https://doi.org/10.1016/j.jbi.2015.11.007
Alhakami, A. M., Madkhli, A., Ghareeb, M., Faqih, A., Abu-Shamla, I., Batt, T., Refaei, F., Sahely, A., Qassim, B., Shami, A. M., & Alhazmi, A. H. (2022). The Prevalence and Associated Factors of Neck Pain among Ministry of Health Office Workers in Saudi Arabia: A Cross Sectional Study. Healthcare (Switzerland), 10(7). https://doi.org/10.3390/healthcare10071320
Ardahan, M., & Simsek, H. (2016). Analyzing musculoskeletal system discomforts and risk factors in computer-using office workers. Pakistan Journal of Medical Sciences, 32(6). https://doi.org/10.12669/pjms.326.11436
Arshad, J., Asim, H. M., Ashraf, M. A., Jaffery, M. H., Zaidi, K. S., & Amentie, M. D. (2022). An Intelligent Cost-Efficient System to Prevent the Improper Posture Hazards in Offices Using Machine Learning Algorithms. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/7957148
Besharati, A., Daneshmandi, H., Zareh, K., Fakherpour, A., & Zoaktafi, M. (2020). Work-related musculoskeletal problems and associated factors among office workers. International Journal of Occupational Safety and Ergonomics, 26(3). https://doi.org/10.1080/10803548.2018.1501238
Chauhan, B., & Nandi, S. (2020). Exploring the Abnormal Signal Transduction Mediated Internet Addiction and Gaming Disorders. Current Signal Transduction Therapy, 16(3). https://doi.org/10.2174/1574362415999201110101418
Demissie, B., Bayih, E. T., & Demmelash, A. A. (2024). A systematic review of work-related musculoskeletal disorders and risk factors among computer users. Heliyon, 10(3). https://doi.org/10.1016/j.heliyon.2024.e25075
Gomzi, M., & Bobić, J. (2009). Sick building syndrome: Do we live and work in unhealthy environment? In Periodicum Biologorum (Vol. 111, Issue 1).
Janwantanakul, P., Pensri, P., Jiamjarasrangsri, V., & Sinsongsook, T. (2008). Prevalence of self-reported musculoskeletal symptoms among office workers. Occupational Medicine, 58(6). https://doi.org/10.1093/occmed/kqn072
Lee, K. Y., Chen, C. Y., Chen, J. K., Liu, C. C., Chang, K. C., Fung, X. C. C., Chen, J. S., Kao, Y. C., Potenza, M. N., Pakpour, A. H., & Lin, C. Y. (2023). Exploring mediational roles for self-stigma in associations between types of problematic use of internet and psychological distress in youth with ADHD. Research in Developmental Disabilities, 133. https://doi.org/10.1016/j.ridd.2022.104410
Quemelo, P. R. V., Gasparato, F. D. S., & Vieira, E. R. (2015). Prevalence, risks and severity of musculoskeletal disorder symptoms among administrative employees of a Brazilian company. Work, 52(3). https://doi.org/10.3233/WOR-152131
Seguí, M. D. M., Cabrero-García, J., Crespo, A., Verdú, J., & Ronda, E. (2015). A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplace. Journal of Clinical Epidemiology, 68(6). https://doi.org/10.1016/j.jclinepi.2015.01.015
Siqueira, C. E., Lemus, B., & Levenstein, C. (2017). Work and health in the global economy: lessons from developing and industrialized countries on the impact of work on health. In At the Point of Production (pp. 9-34). Routledge. https://doi.org/10.2190/TNRP-82A2-8K3F-2W13
Siriteerathitikul, P., Sornsakdanuphap, J., Wongphon, S., & Amput, P. (2022). Effects of acupuncture on chronic neck and shoulder pain in individuals with office syndrome in Phayao, Thailand. Journal of Public Health and Development, 20(2). https://doi.org/10.55131/jphd/2022/200210
Suharsimmi, A. (2020). Prosedur Penelitian Suatu Pendekatan Praktek. Yogyakarta Rineka Cipta. Jakarta: Rineka Cipta, 1990.
Taber, K. S. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48(6). https://doi.org/10.1007/s11165-016-9602-2
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