본문 바로가기
KERD
논문KCI 등재

Workstation Risk Factors for Work-related Musculoskeletal Disorders Among IT Professionals in Indonesia

Mamun Abdullah Al|Prasetya Tofan Agung Eka|Samad Nurul Izzah Abdul|Rahmania Aisy|Arifah Dian Afif|Rahma Ratih Andhika Akbar
대한예방의학회 (The Korean Society For Preventive Medicine)|2024.10|예방의학회지 (Journal of Preventive Medicine and Public Health)|제57권 제5호|pp. 451-460|DOI 10.3961/jpmph.24.214

1

조회

0

다운로드

0

인용

0

참고문헌

키워드

Health riskErgonomicsOccupational healthMusculoskeletal diseasesIT professionalsComputer users
주제분류예방의학/직업환경의학

초록

Objectives: This study aimed to identify workstation factors influencing work-related musculoskeletal disorders (WMSDs) among information technology (IT) professionals in Indonesia.Methods: A cross-sectional study was conducted among 150 IT workers at small-enterprise companies who were randomly selected across East Java, Indonesia. The data were modeled using multiple linear regression, with a 95% level of confidence for determining statistical significance.Results: The respondents reported that the neck had the highest level of discomfort and was the most at risk of WMSDs, followed by the lower back, right shoulder, and upper back. Screen use duration (<i>p</i>=0.040) was associated with whole-body WMSDs, along with seat width (<i>p</i>=0.059), armrest (<i>p</i>=0.027), monitor (<i>p</i>=0.046), and a combined telephone and monitor score (<i>p</i>=0.028). Meanwhile, the factors significantly related to the risk of WMSDs in the hands and wrist were working period (<i>p</i>=0.039), night shift (<i>p</i>=0.024), backrest (<i>p</i>=0.008), and mouse score (<i>p</>=0.032).Conclusions: Occupational safety authorities, standards-setting departments, and policymakers should prioritize addressing the risk factors for WMSDs among IT professionals.

Abstract

Objectives: This study aimed to identify workstation factors influencing work-related musculoskeletal disorders (WMSDs) among information technology (IT) professionals in Indonesia.Methods: A cross-sectional study was conducted among 150 IT workers at small-enterprise companies who were randomly selected across East Java, Indonesia. The data were modeled using multiple linear regression, with a 95% level of confidence for determining statistical significance.Results: The respondents reported that the neck had the highest level of discomfort and was the most at risk of WMSDs, followed by the lower back, right shoulder, and upper back. Screen use duration (<i>p</i>=0.040) was associated with whole-body WMSDs, along with seat width (<i>p</i>=0.059), armrest (<i>p</i>=0.027), monitor (<i>p</i>=0.046), and a combined telephone and monitor score (<i>p</i>=0.028). Meanwhile, the factors significantly related to the risk of WMSDs in the hands and wrist were working period (<i>p</i>=0.039), night shift (<i>p</i>=0.024), backrest (<i>p</i>=0.008), and mouse score (<i>p</>=0.032).Conclusions: Occupational safety authorities, standards-setting departments, and policymakers should prioritize addressing the risk factors for WMSDs among IT professionals.

참고문헌 (39)

  1. Yu Z, "Musculoskeletal disorder burden and its attributable risk factors in China : estimates and predicts from 1990 to 2044", Int J Environ Res Public Health, 20(1), pp.840~ (2023)[DOI]
  2. GBD 2019 Diseases, "Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019 : a systematic analysis for the Global Burden of Disease Study 2019", Lancet, 396(10258), pp.1204~1222 (2020)[DOI]
  3. "Musculoskeletal health" (2022)[URL]
  4. Gorce P, "Global prevalence of musculoskeletal disorders among physiotherapists : a systematic review and meta-analysis", BMC Musculoskelet Disord, 24, pp.265~ (2023)[DOI]
  5. Putsa B, "Factors associated with reduced risk of musculoskeletal disorders among office workers : a cross-sectional study 2017 to 2020", BMC Public Health, 22(1), pp.1503~ (2022)[DOI]
  6. Karingada KT, "Demonstration of the relationship between MSD and online learning during the COVID-19 pandemic", J Appl Res High Educ, 14(1), pp.200~222 (2022)[DOI]
  7. Minetto MA, "Common musculoskeletal disorders in the elderly : the star triad", J Clin Med, 9(4), pp.1216~ (2020)[DOI]
  8. Kashif M, "Prevalence of musculoskeletal complaints of arm, neck and shoulder and associated risk factors in computer office workers", Phys Med Rehab Kuror, 30(05), pp.299~305 (2020)[DOI]
  9. Sohrabi MS, "Effectiveness of an ergonomics training program on musculoskeletal disorders, job stress, quality of work-life and productivity in office workers : a quasi-randomized control trial study", Int J Occup Saf Ergon, 28(3), pp.1664~1671 (2022)[DOI]
  10. Basakci Calik B, "Effects of risk factors related to computer use on musculoskeletal pain in office workers", Int J Occup Saf Ergon, 28(1), pp.269~274 (2022)[DOI]
  11. Yizengaw MA, "Prevalence and factors associated with work-related musculoskeletal disorder among health care providers working in the operation room", Ann Med Surg(Lond), 72, pp.102989~ (2021)[DOI]
  12. Chiwaridzo M, "Work-related musculoskeletal disorders among registered general nurses : a case of a large central hospital in Harare, Zimbabwe", BMC Res Notes, 11(1), pp.315~ (2018)[DOI]
  13. Fernandes CS, "Self-reported work-related musculoskeletal disorders among health professionals at a hospital in Portugal", Rev Bras Med Trab, 16(3), pp.353~358 (2018)[DOI]
  14. Krishnan KS, "Prevalence of work-related musculoskeletal disorders : psychological and physical risk factors", Int J Environ Res Public Health, 18(17), pp.9361~ (2021)[DOI]
  15. Okezue OC, "Work-related musculoskeletal disorders among office workers in higher education institutions : a cross-sectional study", Ethiop J Health Sci, 30(5), pp.715~724 (2020)[DOI]
  16. Luan HD, "Musculoskeletal disorders : prevalence and associated factors among district hospital nurses in Haiphong, Vietnam", Biomed Res Int, 2018, pp.3162564~ (2018)[DOI]
  17. Espinoza MA, "Cost analysis of chronic pain due to musculoskeletal disorders in Chile", PLoS One, 17(10), pp.e0273667~ (2022)[DOI]
  18. Fink D, "Musculoskeletal symptoms and non-prescribed treatments are common in an urban African population of people living with HIV", Rheumatol Int, 39(2), pp.285~291 (2019)[DOI]
  19. Mekonnen TH, "Prevalence and healthcare seeking practice of work-related musculoskeletal disorders among informal sectors of hairdressers in Ethiopia, 2019 : findings from a cross-sectional study", BMC Public Health, 20(1), pp.718~ (2020)[DOI]
  20. Adedoyin AR, "Prevalence and pattern of work-related musculoskeletal disorders among Nigerian bricklayers", Work, 72(2), pp.627~635 (2022)[DOI]
  21. Shariat A, "Relationships between cornell musculoskeletal discomfort questionnaire and online rapid office strain assessment questionnaire", Iran J Public Health, 47(11), pp.1756~1762 (2018)
  22. Villanueva A, "Effect of a long exercise program in the reduction of musculoskeletal discomfort in office workers", Int J Environ Res Public Health, 17(23), pp.9042~ (2020)[DOI]
  23. Chatterjee T, "Postural strain of spinner and casting workers of a small-scale aluminium utensil making factory", Int J Community Med Public Health, 10(2), pp.740~745 (2023)[DOI]
  24. Das S, "International Conference of the Indian Society of Ergonomics", pp.163~174 (2021), Springer
  25. Alhakami AM, "The prevalence and associated factors of neck pain among ministry of health office workers in Saudi Arabia : a cross sectional study", Healthcare(Basel), 10(7), pp.1320~ (2022)[DOI]
  26. Putra BL, "The relationship between sitting posture and neck pain incidence in educational staff at the Universitas Muhammadiyah Surakarta", Phys Ther J Indones, 4(1), pp.19~24 (2023)[DOI]
  27. Popescu MC, "Multilayer perceptron and neural networks", WSEAS Trans Circuits Syst, 8(7), pp.579~588 (2009)
  28. Kaya Aytutuldu G, "Musculoskeletal pain and its relation to individual and work-related factors : a cross-sectional study among Turkish office workers who work using computers", Int J Occup Saf Ergon, 28(2), pp.790~797 (2022)[DOI]
  29. Kaliniene G, "Associations between musculoskeletal pain and work-related factors among public service sector computer workers in Kaunas County, Lithuania", BMC Musculoskelet Disord, 17(1), pp.420~ (2016)[DOI]
  30. Juliana N, "Effect of circadian rhythm disturbance on the human musculoskeletal system and the importance of nutritional strategies", Nutrients, 15(3), pp.734~ (2023)[DOI]
  31. de Barros FC, "Usefulness of the Rapid Office Strain Assessment(ROSA)tool in detecting differences before and after an ergonomics intervention", BMC Musculoskelet Disord, 23(1), pp.526~ (2022)[DOI]
  32. Singh B, "Work related musculoskeletal disorders (WMSDs) risk assessment for different welding positions and processes", 14th International Conference on Humanizing Work and Work Environment (HWWE)-2016, pp.264~267 (2016)
  33. Rigó M, "Work stress on rise? Comparative analysis of trends in work stressors using the European working conditions survey", Int Arch Occup Environ Health, 94(3), pp.459~474 (2021)[DOI]
  34. (1985)[URL]
  35. Fonte A, "Work-related musculoskeletal disorders(WMSDs)and mental health", J Psychiatry Behav Sci, 3(1), pp.1~6 (2020)
  36. Feng B, "Prevalence and risk factors of self-reported wrist and hand symptoms and clinically confirmed carpal tunnel syndrome among office workers in China : a cross-sectional study", BMC Public Health, 21(1), pp.57~ (2021)[DOI]
  37. Lee HE, "Impact of decreased night work on workers’ musculoskeletal symptoms : a quasi-experimental intervention study", Int J Environ Res Public Health, 17(23), pp.9092~ (2020)[DOI]
  38. Igwe KO, "Office work related musculo-skeletal disorder(OWRMSD)among secretarial professionals in Ebonyi state government establishment", Niger J Bus Educ, 9(2), pp.87~96 (2022)
  39. Bezzina A, "Workplace psychosocial factors and their association with musculoskeletal disorders : a systematic review of longitudinal studies", Workplace Health Saf, 71(12), pp.578~588 (2023)[DOI]

관련 논문AI추천

작업장 유해요인조사에 기반한 인체공학적 중재가 작업 관련성 근골격계 질환의 증상에 미치는 효과: 체계적 문헌고찰 및 메타분석김가은, 조정영한국직업건강간호학회 · 한국직업건강간호학회지2020 · 제29권 제4호The Effects of Mental Stress and Physical Risk Conditions to Physical Problems on e-Office Workers서현석, Qiong Min한국디지털무역연구소 · 디지털무역리뷰2016 · 제14권 제4호Individual and Occupational Factors Associated With Low Back Pain: The First-ever Occupational Health Study Among Bangladeshi Online ProfessionalsAhmed Hossain, Mohammad Delwer Hossain Hawlader, Mohammad Hayatun Nabi, Mosharop Hossian, Nadira Sultana Kakoly대한예방의학회 · 예방의학회지2022 · 제55권 제1호물류창고 종사원의 작업 관련 특성과 직무 스트레스가 근골격계 자각증상에 미치는 영향이진희, 이현주, 정혜선한국직업건강간호학회 · 한국직업건강간호학회지2017 · 제26권 제3호Work-Related Musculoskeletal Symptoms Among Dairy Farmers in Gyeonggi Province, Korea이관, 박지혁, 임현술대한예방의학회 · 예방의학회지2010 · 제43권 제3호한국 치과의의 근골격계질환 실태 및 원인 조사유태범한국산업경영시스템학회 · 한국산업경영시스템학회지2012 · 제35권 제4호

이 간행물의 다른 논문 (9건)

Potential Increasing Trend in Schizophrenia Relapse Prevention in the Past 40 Years: A Bibliometric AnalysisAmir Yusran, Russeng Syamsiar, Hadju Veni, Amqam Hasnawati, Syarif Isymiarni, Syamsuddin Saidahpp. 421-434HIV-related Perceptions, Knowledge, Professional Ethics, Institutional Support, and HIV/AIDS-related Stigma in Health Services in West Sumatra, Indonesia: An Empirical Evaluation Using PLS-SEMHastuti Brian Sri Pra, Devianto Dodi, Afrizal Afrizal, Bachtiar Adang, Rima Semiarty, Raveinal Raveinal, Cimi Ilmiawati, Triana Vivi, Effendi Nursyirwanpp. 435-442The Influence of Family Adversities on Longitudinal Changes in Physical Inactivity Among Korean Adolescents During the COVID-19 Pandemic최원하, 박태영, 송하나, Zhu Jing, 김영미, 이태경, JIANG ZEKAI, ZHANG MEILINpp. 443-450Effects of the Local Environment and Nutritional Status on the Incidence of Acute Respiratory Infections Among Children Under 5 Years Old in IndonesiaPane Masdalina, Purnama Tri Bayu, Wagatsuma Keita, Saito Reikopp. 461-470Healthcare Utilization and Discrepancies by Income Level Among Patients With Newly Diagnosed Type 2 Diabetes in Korea: An Analysis of National Health Insurance Sample Cohort Data유창훈, 이원영, Park Eun Jee, 지남주pp. 471-479
원문 보기