Analyzing complaints of arm, neck, and shoulder pain among academicians in Malaysia: a cross-sectional study on prevalence and contributing factors
DOI:
https://doi.org/10.17267/2238-2704rpf.2023.e5411Keywords:
Musculoskeletal Disease, Risk Factors, Faculty, TeachersAbstract
OBJECTIVES: Complaints of arm, neck, and shoulder (CANS) have been recognized as an important cause of work disability. Therefore, it is essential to identify those health risk factors for the development of CANS before they escalate into a disabling musculoskeletal condition. This study aims to ascertain the association between individual, physical, and psychosocial risk factors and the occurrence of CANS among academics in Malaysia. METHODS: A cross-sectional study design was adopted, enrolling 296 academic staff working at a private university in Malaysia using a convenient sampling approach. A content-validated questionnaire was distributed among selected academic staff to gather their feedback on the prevalence and contributing factors of CANS, and the survey was conducted for a period of six months. The chi-square test was used to analyze the association between risk factors and CANS, and multiple logistic regression was used to predict the risk factors of CANS. This study links all the health risk factors to CANS in Malaysian academicians. RESULTS: Of the academic staff who participated in this study, 63.5% reported an annual prevalence of CANS. Physical risk factors, including work experience, adopting a static head-down posture, time spent per day in teaching, and the number of hours spent in front of a computer, are associated with CANS (p<0.05). However, the utility of back support (p=0.878) and footrests (p=0.078) does not show any association with the occurrence of CANS (p>0.05). Besides job demand, other psychosocial factors do not show any significant association with CANS. DISCUSSION: The study found that 63.5% of academic staff suffer from arm, shoulder, and neck pain, which is linked to physical risk factors such as work experience, static posture, teaching time and computer use. Back support and footrests had no significant influence on the complaints. Addressing physical risk factors is key to reducing these conditions among academic staff.
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(1) Algarni FS, Kachanathu SJ, Alabdulwahab SS. A Cross-Sectional Study on the Association of Patterns and Physical Risk Factors with Musculoskeletal Disorders among Academicians in Saudi Arabia. Biomed Res Int. 2020;2020:8930968. https://doi.org/10.1155/2020/8930968
(2) Okello A, Wafula ST, Sekimpi DK, Mugambe RK. Prevalence and predictors of work-related musculoskeletal disorders among workers of a gold mine in south Kivu, Democratic Republic of Congo. BMC Musculoskelet Disord. 2020;21(1):797. https://doi.org/10.1186/s12891-020-03828-8
(3) Alias AN, Karuppiah K, How V, Perumal V. Prevalence of musculoskeletal disorders (MSDS) among primary school female teachers in Terengganu, Malaysia. Int J Ind Ergon. 2020;77:102957. https://doi.org/10.1016/j.ergon.2020.102957
(4) Yang ST, Park MH, Jeong BY. Types of manual materials handling (MMH) and occupational incidents and musculoskeletal disorders (MSDs) in motor vehicle parts manufacturing (MVPM) industry. Int J Ind Ergon. 2020;77:102954. https://doi.org/10.1016/j.ergon.2020.102954
(5) Besharati A, Daneshmandi H, Zareh K, Fakherpour A, Zoaktafi M. Work-related musculoskeletal problems and associated factors among office workers. Int J Occup Saf Ergon. 2020;26(3):632-8. https://doi.org/10.1080/10803548.2018.1501238
(6) Zein RM, Rohani JM, Abidin NZ, Rahman IA. Financial Impact and Causes of Chronic MSD Cases in Malaysia Based on SOCSO Claims Record. In: Bagnara S, Tartaglia R, Albolino A, Alexander T, editors. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume III: Musculoskeletal Disorders. Springer; 2018. p. 43-53. https://doi.org/10.1007/978-3-319-96083-8_7
(7) Friedenberg R, Kalichman L, Ezra D, Wacht O, Alperovitch-Najenson D. Work-related musculoskeletal disorders and injuries among emergency medical technicians and paramedics: A comprehensive narrative review. Arch Environ Occup Health. 2022;77(1):9-17. https://doi.org/10.1080/19338244.2020.1832038
(8) Tan S, Muniandy Y, Vasanthi RK, others. Prevalence of musculoskeletal disorders and associated work-related risk factors among pastry chefs in Malacca, Malaysia. Int J Aging Health Mov [Internet]. 2021;3(2):20-30. Available from: http://www.ijahm.com/index.php/IJAHM/article/view/26
(9) Huisstede BMA, Miedema HS, Verhagen AP, Koes BW, Verhaar JAN. Multidisciplinary consensus on the terminology and classification of complaints of the arm, neck and/or shoulder. Occup Environ Med. 2007;64(5):313-9. https://doi.org/10.1136/oem.2005.023861
(10) Huisstede BMA, Bierma-Zeinstra SMA, Koes BW, Verhaar JAN. Incidence and prevalence of upper-extremity musculoskeletal disorders. A systematic appraisal of the literature. BMC Musculoskelet Disord. 2006;7:7. https://doi.org/10.1186/1471-2474-7-7
(11) Dianat I, Bazazan A, Azad MAS, Salimi SS. Work-related physical, psychosocial and individual factors associated with musculoskeletal symptoms among surgeons: Implications for ergonomic interventions. Appl Ergon. 2018;67:115-24. https://doi.org/10.1016/j.apergo.2017.09.011
(12) Sundstrup E, Seeberg KGV, Bengtsen E, Andersen LL. A systematic review of workplace interventions to rehabilitate musculoskeletal disorders among employees with physical demanding work. J Occup Rehabil. 2020;30(4):588-612. https://doi.org/10.1007/s10926-020-09879-x
(13) Abidin NZ, Rohani JM, Nordin AN, Zein RM, Ayak ASA. Financial impact and causes of chronic musculoskeletal disease cases in Malaysia based on Social Security Organization of Malaysia claims record. Int J Eng Technol. 2018;7(3.24):23-7. https://doi.org/10.14419/ijet.v7i3.24.17295
(14) Karwan MK, Azuhairi AA, Hayati KS. Predictors of upper limb disorders among a public university workers in Malaysia. International Journal of Public Health and Clinical Sciences. 2015;2(3):133-50. Available from: https://www.researchgate.net/publication/279298522_Predictors_of_Upper_Limb_Disorders_among_a_Public_University_Workers_in_Malaysia
(15) Özdinç S, Kayablnar E, Özen T, Turan FN, Yllmaz S. Musculoskeletal problems in academicians and related factors in Turkey. J Back Musculoskelet Rehabil. 2019;32(6):833-9. https://doi.org/10.3233/bmr-18117116. Temesgen MH, Belay GJ, Gelaw AY, Janakiraman B, Animut Y. Burden of shoulder and/neck pain among school teachers in Ethiopia. BMC Musculoskelet Disord. 2019;20(1):18. https://doi.org/10.1186/s12891-019-2397-3
(17) Ndonye NA, Matara NJ, Muriithi IA. Predictors of work-related musculoskeletal disorders among primary school teachers in Machakos County, Kenya. Int J Ind Ergon. 2019; 8(2): 29-40. https:// doi:10.5923/j.ijpt.20190802.01
(18) Fahmy VF, Momen MAMT, Mostafa NS, Elawady MY. Prevalence, risk factors and quality of life impact of work-related musculoskeletal disorders among school teachers in Cairo, Egypt. BMC Public Health. 2022;22(1):2257. https://doi.org/10.1186/s12889-022-14712-6
(19) Shariat A, Cardoso JR, Cleland JA, Danaee M, Ansari NN, Kargarfard M, et al. Prevalence rate of neck, shoulder and lower back pain in association with age, body mass index and gender among Malaysian office workers. Work. 2018;60(2):191-9. Cited: PMID: 29865103.
(20) Lewis R, Álvarez CBG, Rayman M, Lanham-New S, Woolf A, Mobasheri A. Strategies for optimising musculoskeletal health in the 21st century. BMC Musculoskelet Disord. 2019;20(1):164. https://doi.org/10.1186/s12891-019-2510-7
(21) Pawalia A, Joshi S, Preeti, Yadav VS. Prevalence of musculoskeletal pain and discomfort due to online teaching and learning methods during lockdown in students and teachers: Outcomes of the new normal. J Musculoskelet Res. 2022;25(1):2150020. https://doi.org/10.1142/S0218957721500202
(22) Rashid M, Kristofferzon ML, Heiden M, Nilsson A. Factors related to work ability and well-being among women on sick leave due to long-term pain in the neck/shoulders and/or back: a cross-sectional study. BMC Public Health. 2018;18:672. https://doi.org/10.1186/s12889-018-5580-9
(23) Kirsch Micheletti J, Bláfoss R, Sundstrup E, Bay H, Pastre CM, Andersen LL. Association between lifestyle and musculoskeletal pain: Cross-sectional study among 10,000 adults from the general working population. BMC Musculoskelet Disord. 2019;20(1):609. https://doi.org/10.1186/s12891-019-3002-5
(24) Abate M, Vanni D, Pantalone A, Salini V. Cigarette smoking and musculoskeletal disorders. Muscles Ligaments Tendons J. 2013;3(2):63-9. Cited: PMID: 23888288.
(25) Al-Bashaireh AM, Haddad LG, Weaver M, Kelly DL, Chengguo X, Yoon S. The effect of tobacco smoking on musculoskeletal health: a systematic review. J Environ Public Health. 2018;2018:4184190. https://doi.org/10.1155/2018/4184190
(26) Ekblom-Bak E, Stenling A, Eriksson JS, Hemmingsson E, Kallings LV, Andersson G, et al. Latent profile analysis patterns of exercise, sitting and fitness in adults – Associations with metabolic risk factors, perceived health, and perceived symptoms. PLoS One. 2020;15(4):e0232210. https://doi.org/10.1371/journal.pone.0232210
(27) Mohan V, Inbaraj LR, George CE, Norman G. Prevalence of complaints of arm, neck, and shoulders among computer professionals in Bangalore: A cross-sectional study. J Family Med Prim Care. 2019;8(1):171-7. https://doi.org/10.4103/jfmpc.jfmpc_253_18
(28) Sen A, Richardson S. A study of computer-related upper limb discomfort and computer vision syndrome. J Hum Ergol. 2007;36(2):45-50. Cited: PMID: 18572794.
(29) Ng YM, Voo P, Maakip I. Psychosocial factors, depression, and musculoskeletal disorders among teachers. BMC Public Health. 2019;19(1):234. https://doi.org/10.1186/s12889-019-6553-3
(30) Ming NY, Kiong PVS, Maakip I. Predictors of musculoskeletal disorders among teachers: An exploratory investigation in Malaysia. Asian Soc Sci. 2020;16(7):67-80. https://doi.org/10.5539/ass.v16n7p67
(31) Gallagher S, Barbe MF. The impaired healing hypothesis: a mechanism by which psychosocial stress and personal characteristics increase MSD risk?. Ergonomics. 2022;65(4):573-86. https://doi.org/10.1080/00140139.2021.1974103
(32) Thiese MS, Lu ML, Merryweather A, Tang R, Ferguson SA, Malloy EJ, et al. Psychosocial factors and low back pain outcomes in a pooled analysis of low back pain studies. J Occup Environ Med. 2020;62(10):810-5. https://doi.org/10.1097/jom.0000000000001941
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Copyright (c) 2023 Yughdtheswari Muniandy, Yin Di Lim, Vinosh Kumar Purushothaman, Arun Vijay Subbarayalu
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License.