Ergonomic hazards and musculoskeletal health in cotton garment units in and around Kolkata, India
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20262693Keywords:
Ergonomic, Musculoskeletal disorders, Rapid upper limb assessmentAbstract
Background: In India the garment industry is a major source of employment, particularly in unorganized sectors where ergonomic standards are often inadequate. Prolonged working stress, repetitive movements, and non-neutral working postures increase the risk of work-related musculoskeletal disorders (MSDs), adversely affecting workers’ health and productivity. This study aimed to assess the prevalence of musculoskeletal disorders among cotton garment weavers in and around Kolkata and to evaluate their working postures.
Methods: A cross-sectional study was conducted among 122 cotton garment weavers from selected units in and around Kolkata. Participants selected based on their work experience. Musculoskeletal symptoms were assessed using the Modified Nordic Musculoskeletal Questionnaire, postural risk using RULA, and data were analysed in SPSS v19 using chi-square tests, odds ratios (95% CI), and multivariate logistic regression to identify factors associated with MSDs.
Results: The prevalence of musculoskeletal disorders was high (70-85%), with experienced workers showing significantly higher neck (83.33%) and lower back pain (91.67%). RULA assessment indicated high risk (score 5) in 58.33% of participants, and musculoskeletal symptoms were significantly associated with prolonged working hours, work pressure, extended sitting, and higher RULA scores (p<0.05).
Conclusions: Due to poor ergonomic condition workers are experience a high burden of musculoskeletal disorders due to poor ergonomic conditions. Community-based ergonomic interventions, improved workstation design, regulated working hours, and adequate rest breaks are urgently needed to reduce MSD risk and enhance workers’ occupational health.
References
Prakash JV, Nauriyal DK. Automotive components industry and profitability factors: evidence from India. Vision. 2020;25(2):209-23.
Joshi A. Do rights work? Law, activism, and the employment guarantee scheme. World Development. 2010;38(4):620-30.
Upasana S, Akanksha G, Khan S, Rani S, Jain S. Human-machine interaction and visual data mining. Data Mining and Machine Learning Applications. 2022:317-47.
Vinay D, Kwatra S, Sharma S, Shilla K. Physical risk factors among workers of agro-enterprises by workplace ergonomic risk assessment. In: International Conference of the Indian Society of Ergonomics 2020 Dec 10 (pp. 411-423). Singapore: Springer Nature Singapore.
Sohail A, Qutubuddin S, Aloorkar P. Ergonomic risk assessment and postural analysis of workers in small garment industries by RULA using digital human modeling. Operat Manag. 2021;12.
Mukunda L, Lavista-Llanos S, Hansson BS, Wicher D. Dimerisation of the Drosophila odorant coreceptor Orco. Fronti Cell Neurosci. 2014;8:261.
Karypidis M, Papadaki A, Stalika A. An overview of the available water textile effluent treatments. J Int Sci Publicat. 2023;17.
Mauro-Flude N, Akama Y. A feminist server stack: co-designing feminist web servers to reimagine Internet futures. CoDesign. 2022;18(1):48-62.
Kalinkara Y, Talan T. Rethinking evaluating the use of distance learning systems in the context of the unified theory of acceptance and use of technology-2. J Learn Develop. 2022;9(2):229-52.
Qutubuddin SM, Hebbal SS, Kuma AC. Ergonomic evaluation of tasks performed by workers in manual brick kilns in Karnataka, India. Glob J Res Engineer. 2013;13(4):35-42.
Chikumba S. Life cycle logistics of clothing and textile products and their impact on developing countries [Internet]. 2025.
Issa M, Elgholmy S, Sheta A, Fors MN. A new method for measuring the static and dynamic fabric/garment drape using 3D printed mannequin. J Textile Institute. 2022;113(6):1163-75.
Meher BK, Kumar S, Anand A, Birau R, Popescu V, Kumar S, et al. Predictive power of newfangled GARCH models in assessing stock price volatility of Indian textile companies. Industria Textila. 2025;76(2).
Gahlot M, Bhatt P, Joshi J, Fellow SR, Pantnagar T. Study on yield of plant extracts using different solvents and methods. Bull Environ Pharmacol Life Sci. 2018;7(6):65-7.
Polat O, Kalayci CB. Ergonomic risk assessment of workers in garment industry. InEight international conference on textile science & economy VIII, Zranjanin, Sarbia. 2016:16-21.
Moussavi G, Khosravi R. Preparation and characterization of a biochar from pistachio hull biomass and its catalytic potential for ozonation of water recalcitrant contaminants. Biores Technol. 2012;119:66-71.
Shah A, Jamshaid H, Shahbaz M. Utilising selvedge waste of polyester fabric: weaver's approach for sustainable fabric development and analysis of basic properties. Int J Environ Waste Manag. 2025;37(2):188-200.
Kaya Ö. Design of work place and ergonomics in garment enterprises. Procedia Manufact. 2015;3:6437-43.
Odebiyi DO, Okafor UA. Musculoskeletal disorders, workplace ergonomics and injury prevention. InErgonomics-new insights 2023. IntechOpen.
Sarder MB, Imrhan SN, Mandahawi N. Ergonomic workplace evaluation of an Asian garment-factory. J Human Ergol. 2006;35(1-2):45-51.
Rempel DM, Wang PC, Janowitz I, Harrison RJ, Yu F, Ritz BR. A randomized controlled trial evaluating the effects of new task chairs on shoulder and neck pain among sewing machine operators: the Los Angeles garment study. 2007;32(9):931-8.
Ghorai T, Mazumder S, Gangopadhyay S, Chatterjee T, Shaw K, Das P, Samanta A. A study of growth pattern of school going children of Kolkata, India. Int J Comm Medi Publ Heal. 2023;10(2):746.
Banerjee S, Samsi K, Petrie CD, Alvir J, Treglia M, Schwam EM, Del Valle M. What do we know about quality of life in dementia? A review of the emerging evidence on the predictive and explanatory value of disease specific measures of health related quality of life in people with dementia. J Psych Late Life Alli Sci. 2009;24(1):15-24.
Kolgiri S, Hiremath R. Ergonomic study of power-loom industry woman workers from Solapur City, Maharashtra, India. health. 2018;15:218-3.
Bogin B. Patterns of human growth. Cambridge University Press; 2020.
Punnett L, Prüss‐Ütün A, Nelson DI, Fingerhut MA, Leigh J, Tak S, et al. Estimating the global burden of low back pain attributable to combined occupational exposures. Am J Indust Medi. 2005;48(6):459-69.
Kolgiri S, Hiremath R. Sustainable postural research for women workers from power-loom industry Solapur City, Maharashtra, India. Int J Innovat Technol Explor Engineer. 2019;8(11):377-82.
Gheysvandi E, Dianat I, Heidarimoghadam R, Tapak L, Karimi-Shahanjarini A, Rezapur-Shahkolai F. Neck and shoulder pain among elementary school students: prevalence and its risk factors. BMC Publ Heal. 2019;19(1):1-1.
Saha S, Moorthi S, Pan HL, Wu X, Wang J, Nadiga S, et al. The NCEP climate forecast system reanalysis. Bullet Am Meteorol Soci. 2010;91(8):1015-58.
Tiwari SB, Hagen G, Guilfoyle T. The roles of auxin response factor domains in auxin-responsive transcription. The Plant Cell. 2003;15(2):533-43.
Durlov S, Chakrabarty S, Chatterjee A, Das T, Dev S, Gangopadhyay S, Haldar P, Maity SG, Sarkar K, Sahu S. Prevalence of low back pain among handloom weavers in West Bengal, India. Int J Occupat Environm Heal. 2014;20(4):333-9.
Öztürk N, Esin MN. Investigation of musculoskeletal symptoms and ergonomic risk factors among female sewing machine operators in Turkey. Int J Indust Ergonom. 2011;41(6):585-91.
Dianat I, Salimi A. Working conditions of Iranian hand-sewn shoe workers and associations with musculoskeletal symptoms. Ergonom. 2014;57(4):602-11.
Stedmon CA, Seredyńska-Sobecka B, Boe-Hansen R, Le Tallec N, Waul CK, Arvin E. A potential approach for monitoring drinking water quality from groundwater systems using organic matter fluorescence as an early warning for contamination events. Water Res. 2011;45(18):6030-8.
Viester L, Verhagen EA, Hengel KM, Koppes LL, van der Beek AJ, Bongers PM. The relation between body mass index and musculoskeletal symptoms in the working population. BMC Musculoskel Dis. 2013;14(1):238.
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