A Study of Musculoskeletal Pain among Hotel Employees, India


  • Tata Institute of Social Sciences, Centre for Public Health, School of Health Systems Studies, Mumbai, Maharashtra, 400088, India


Background: Musculoskeletal disorders are leading cause of ill-health globally and workers are disproportionately affected due to repetitive tasks and postures. Little is known about these disorders among hotel employees in India. Objective: The study aims to find prevalence of musculoskeletal disorders among workers in luxury hotels and identify their determinants. Materials and Methods: A cross-sectional study design was employed. The study sites included eight hotels across other four cities. A pre-designed, pilot tested semi-structured questionnaire was self-administered by study respondents. Main outcome variable was self-reported musculoskeletal pain/discomfort. Data on predictor variables including socio-demographic, physical and psychosocial environment was collected. Prevalence of musculoskeletal pain/discomfort was estimated. Chi-square test was used for bi-variate analysis. Binary multiple logistic regression method was used to identify factors associated with the outcome variable 'Any chronic musculoskeletal pain' and site-specific subtypes. Results: Out of 1183 respondents, 526 (45%) reported having musculoskeletal pain/discomfort which chiefly included backache 320 (27%), pain in legs 206 (17%), joint pain 157 (13%) and neck pain 88 (7%). 'Chronic musculoskeletal pain' was associated withfour variables; namely, years of service (OR = 1.018; 1.002–1.034), heavy stress of lifting objects (OR = 1.908; 1.289–2.825), psychological wellbeing (GHQ–12 item) (OR = 1.214; 1.135–1.299) and type of work (desk workers had lower odds (OR = 0.355; 0.178–0.709) than housekeepers). Conclusion: Prevalence of musculoskeletal pain/discomfort is high among hotel workers. Stress of lifting objects, psychosocial well-being, duration of service and type of work are key determinants.


Hotel Workers, Musculoskeletal Pain, Physical Stressor, Psycho-Social Stressor.

Subject Collection

Mumbai, Delhi, Kochi, Nasik

Subject Discipline

Occupational Health

Full Text:


Smith E, Hoy DG, Cross M, Vos T, Naghavi M, Buchbinder R, et al. The global burden of other musculoskeletal disorders: estimates from the Global Burden of Disease 2010 study. Annals of the Rheumatic Diseases. 2014; 73(8):1462–9. https://doi.org/10.1136/annrheumdis-2013-204680 https://doi.org/10.1136/annrheumdis-2013-204647

Palazzao C, Ravaud JF, Papelard A, Ravaud P, Poiraudeau S. The burden of musculoskeletal conditions. Plos ONE. 2014; 9(3):e90633. https://doi.org/10.1371/journal.pone.0090633 PMid:24595187 PMCid:PMC3942474.

Mustard CA, Chambers A, Ibrahim S, Etches J, Smith P. Time trends in musculoskeletal disorders attributed to work exposures in Ontario using three independent data sources, 2004-2011. Occupational and Environmental Medicine. 2015; 72(4):252–7. https://doi.org/10.1136/oemed-2014-102442

da Costa BR, Vieira ER. Risk factors for work-related musculoskeletal disorders: a systematic review of recent longitudinal studies. American Journal of Industrial Medicine. 2010; 53(3):285–323. PMid:19753591.

Lee JW, Lee JJ, MUN HJ, Lee KJ, Kim JJ. The relationship between musculoskeletal symptoms and work-related risk factors in hotel workers. Annals of Occupational and Environmental Medicine. 2013; 25(1):20. https://doi.org/10.1186/2052-4374-25-20

Hannerz H, Tuchsen F, Kristensen TS. Hospitalizations among employees in the Danish hotel and restaurant industry. European Journal of Public Health. 2002; 12(3):192–7. https://doi.org/10.1093/eurpub/12.3.192 PMid:12232958.

Krause N, Scherzer T, Rugulies R. Physical workload, work intensification, and prevalence of pain in low wage workers: results from a participatory research project with hotel room cleaners in Las Vegas. American Journal of Industrial Medicine. 2005; 48(5):326–37. https://doi.org/10.1002/ajim.20221 PMid:16193494

Hallman DM, Gupta N, Mathiassen SE, Holtermann A. Association between objectively measured sitting time and neck–shoulder pain among bluecollar workers. International Archives of Occupational and Environmental Health. 2015; 88(8):1031– 42. https://doi.org/10.1007/s00420-015-1031-4

Gangopadhyay S, Dev S, Das T, Ghoshal G, Ara T. An ergonomics study on the prevalence of musculoskeletal disorders among Indian bus conductors. International Journal of Occupational Safety and Ergonomics. 2012; 18(4):521–30. https://doi.org/10.1 080/10803548.2012.11076957 PMid:23294656.

Subramaniam S, Murugesan S. Investigation of work-related musculoskeletal disorders among male kitchen workers in South India. International Journal of Occupational Safety and Ergonomics. 2015; 21(4):524–31. https://doi.org/10.1080/10803548.2015.1096063

Gawde NC, Kurlikar PR. Chronic disease risk factors among hotel workers. Indian Journal of Occupational and Environmental Medicine. 2016; 20(1):14–20. https://doi.org/10.4103/00195278.18380

Punnett L, Cherniack M, Henning R, Morse T, Faghri P, CPHNEW Research Team. A conceptual framework for integrating workplace health promotion and occupational ergonomics programs. Public Health Reports. 2009; 124(Suppl 1):16–25. https://doi.org/10.1177/00333549091244S103 PMid:19618803 PMCid:PMC2708653.

Golderberg D, Williams P. A user's guide to the General Health Questionnaire. Windsor, UK: NFER-Nelson; 1988.

WHO. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. WHO Technical Report Series 894. Geneva: World Health Organization. 2000.

Chyuan JYA, Du CL, Yeh WY, Li CY. Musculoskeletal disorders in hotel restaurant workers. Occupational Medicine (London). 2004; 54(1):55–7. https://doi.org/10.1093/occmed/kqg108

Scherzer T, Rugulies R, Krause N. Work-related pain and injury and barriers to workers' compensation among Las Vegas hotel room cleaners. American Journal of Public Health. 2005; 95(3):483–8. https://doi.org/10.2105/AJPH.2003.033266.

Lahelma E, Laaksonen M, Lallukka T, Martikainen P, Pietilainen O, Saastamoinen P, et al. Working conditions as risk factors for disability retirement: a longitudinal register linkage study. BMC Public Health. 2012; 12:309. https://doi.org/10.1186/1471-245812-309 PMid:22537302 PMCid:PMC3438015.

Salwe K, Kumar S, Hood J. Nonfatal occupational injury rates and musculoskeletal symptoms among housekeeping employees of a hospital in Texas. Journal of Environmental and Public Health. 2011; 2011:382510. Epub 2011 Jun 5. https://doi.org/10.1155/2011/382510

Griffith LE, Shannon HS, Wells RP, Walter SD, Cole DC, Cote P, et al. Individual participant data meta-analysis of mechanical workplace risk factors and low back pain. American Journal of Public Health. 2012; 102(2):309–18. https://doi.org/10.2105/AJPH.2011.300343

Kerr MS, Frank JW, Shannon HS, Norman RWK, Wells RP, Neumann P, et al. Biomechanical and psychosocial risk factors for low back pain at work. American Journal of Public Health. 2001; 91(7):1069–75. https://doi.org/10.2105/AJPH.91.7.1069 PMid:11441733 PMCid:PMC1446725.

Dionne CE, Dunn KM, Croft PR. Does back pain prevalence really decrease with increasing age? A systematic review. Age Ageing. 2006; 35:229–34. https://doi.org/10.1093/ageing/afj055

O'Neill JW, Davis K. Work stress and well-being in the hotel industry. International Journal of Hospitality Management. 2011; 30(2):385–90. https://doi.org/10.1016/j.ijhm.2010.07.007

Yue P, Xu G, Li L, Wang S. Prevalence of musculoskeletal symptoms in relation to psychosocial factors. Occupational Medicine (London). 2014; 64(3):211–6. Epub 2014 Mar 6. https://doi.org/10.1093/occmed/kqu008

Waters TR, Dick RB. Evidence of health risks associated with prolonged standing at work and intervention effectiveness. Rehabilitation Nursing. 2015; 40(3):148–65. https://doi.org/10.1002/rnj.166


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