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The prevalence of musculoskeletal symptoms in the construction industry: a systematic review and meta-analysis

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Abstract

Purpose

Although individual studies have reported high prevalence of musculoskeletal symptoms (MSS) among construction workers, no systematic review has summarized their prevalence rates. Accordingly, this systematic review/meta-analysis aimed to synthesize MSS prevalence in different construction trades, gender and age groups, which may help develop specific ergonomic interventions.

Methods

Nine databases were searched for articles related to the research objective. Two reviewers independently screened citations, extracted information and conducted quality assessment of the included studies. Meta-analyses were conducted on clinical and statistical homogenous data.

Results

Thirty-five out of 1130 potential citations were included reporting diverse types of period prevalence and case definitions. Only the 1-year prevalence rates of MSS (defined as at least one episode of pain/MSS in the last year) at nine anatomical regions had sufficient homogeneous data for meta-analysis. Specifically, the 1-year prevalence of MSS was 51.1% for lower back, 37.2% for knee, 32.4% for shoulder, 30.4% for wrist, 24.4% for neck, 24.0% for ankle/foot, 20.3% for elbow, 19.8% for upper back, and 15.1% for hip/thigh. Female workers demonstrated a higher prevalence of MSS while there was insufficient information on the prevalence of trade-specific or age-related MSS. The quality assessments revealed that many included studies estimated prevalence solely based on self-reported data, and did not report non-respondents’ characteristics.

Conclusions

Lumbar, knee, shoulder, and wrist MSS are the most common symptoms among construction workers. Future studies should standardize the reporting of period prevalence of MSS in different construction trades to allow meta-analyses and to develop relevant MSS prevention program.

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References

  • Agresti A, Coull BA (1998) Approximate is better than “exact” for interval estimation of binomial proportions. Am Stat 52:119–126. doi:10.1080/00031305.1998.10480550

    Google Scholar 

  • Alghadir A, Anwer S (2015) Prevalence of musculoskeletal pain in construction workers in Saudi Arabia. Sci World J. doi:10.5958/0976-5506.2015.00013.3

    Google Scholar 

  • Antwi-Afari MF, Li H, Edwards DJ et al (2017) Effects of different weights and lifting postures on balance control following repetitive lifting tasks in construction workers. Autom Constr 83:41–47. doi:10.1016/j.autcon.2017.07.007

    Article  Google Scholar 

  • Arndt V, Rothenbacher D, Brenner H et al (1996) Older workers in the construction industry: results of a routine health examination and a five year follow up. Occup Environ Med 53:686–691. doi:10.1136/oem.53.10.686

    Article  CAS  Google Scholar 

  • Arndt V, Rothenbacher D, Daniel U et al (2005) Construction work and risk of occupational disability: a ten year follow up of 14474 male workers. Occup Environ Med 62:559–567. doi:10.1136/oem.2004.018135

    Article  CAS  Google Scholar 

  • Bartley EJ, Fillingim RB (2013) Sex differences in pain: a brief review of clinical and experimental findings. Br J Anaesth 111:52–58. doi:10.1093/bja/aet127

    Article  CAS  Google Scholar 

  • Beaton DE, Cole DC, Manno M et al (2000) Describing the burden of upper-extremity musculoskeletal disorders in newspaper workers: what difference do case definitions make? J Occup Rehabil 10:39–53. doi:10.1023/A:1009489712094

    Article  Google Scholar 

  • Bedouch P, Marra CA, FitzGerald JM et al (2012) Trends in asthma-related direct medical costs from 2002 to 2007 in British Columbia, Canada: a population based-cohort study. PLoS One 7:1–8. doi:10.1371/journal.pone.0050949

    Article  Google Scholar 

  • Bodhare T, Valsangkar S, Bele S (2011) An epidemiological study of work-related musculoskeletal disorders among construction workers in Karimnagar, Andhra Pradesh. Indian J Community Med 36:304–307. doi:10.4103/0970-0218.91420

    Article  Google Scholar 

  • Boschman JS, van der Molen HF, Sluiter JK, Frings-Dresen MHW (2012) Musculoskeletal disorders among construction workers: a one-year follow-up study. BMC Musculoskelet Disord. doi:10.1186/1471-2474-13-196

    Google Scholar 

  • Buchholz B, Paquet V, Punnet L et al (1996) PATH: a work sampling-based approach to ergonomic job analysis for construction work path: a work sampling-based approach to ergonomic job analysis for construction and other non-repetitive work. Appl Ergon 27:177–187. doi:10.1016/0003-6870(95)00078-X

    Article  CAS  Google Scholar 

  • Burdorf A, Sorock G (2016) Positive and negative evidence of risk factors for back disorders. Scand J Work Env Heal 23:243–256. doi:10.5271/sjweh.217

    Article  Google Scholar 

  • Bureau of Labor Statistics (BLS) (2013) Nonfatal occupational injuries and illnesses requiring days away from work, 2012. https://www.bls.gov/news.release/archives/osh2_11262013.pdf. Accessed 9 Oct 2017

  • Burström L, Järvholm B, Nilsson T, Wahlström J (2013) Back and neck pain due to working in a cold environment: a cross-sectional study of male construction workers. Int Arch Occup Environ Health 86:809–813. doi:10.1007/s00420-012-0818-9

    Article  Google Scholar 

  • Caban-Martinez AJ, Lee DJ, Clarke TC et al (2010) Self-reported joint and back pain among Hispanic construction workers: a pilot workplace musculoskeletal assessment. J Musculoskelet Res 13:49–55. doi:10.1142/S0218957710002508

    Article  Google Scholar 

  • Chung MK, Lee I, Kee D (2003) Effect of stool height and holding time on postural load of squatting postures. Int J Ind Ergon 32:309–317. doi:10.1016/S0169-8141(03)00050-7

    Article  Google Scholar 

  • Deros BM, Daruis DD, Khamis NK et al (2014) Prevalence of work related musculoskeletal disorders symptoms among construction workers: a case study in Malaysia. Iran J Public Health 43:53–57

    Google Scholar 

  • Dong XS, Wang X, Fujimoto A, Dobbin R (2012) Chronic back pain among older construction workers in the United States: a longitudinal study. Int J Occup Environ Health 18:99–109. doi:10.1179/1077352512Z.0000000004

    Article  Google Scholar 

  • Eaves S, Gyi DE, Gibb AGF (2016) Building healthy construction workers: their views on health, wellbeing and better workplace design. Appl Ergon 54:10–18. doi:10.1016/j.apergo.2015.11.004

    Article  CAS  Google Scholar 

  • Ekpenyong CE, Inyang UC (2014) Associations between worker characteristics, workplace factors, and work-related musculoskeletal disorders: a cross-sectional study of male construction workers in Nigeria. Int J Occup Saf Ergon 20:447–462. doi:10.1080/10803548.2014.11077057

    Article  Google Scholar 

  • Elders LAM, Burdorf A (2004) Prevalence, incidence, and recurrence of low back pain in scaffolders during a 3-year follow-up study. Spine (Phila Pa 1976) 29:E101–E106. doi:10.1097/01.BRS.0000115125.60331.72

    Article  Google Scholar 

  • Engholm G, Holmström E (2005) Dose-response associations between musculoskeletal construction workers dose-response associations between musculoskeletal disorders and physical and psychosocial factors among construction workers. Scand J Work Env Heal 31:57–67

    Google Scholar 

  • Fejer R, Kyvik KO, Hartvigsen J (2006) The prevalence of neck pain in the world population: a systematic critical review of the literature. Eur Spine J 15:834–848. doi:10.1007/s00586-004-0864-4

    Article  Google Scholar 

  • Fitzgerald MD, Tanaka H, Tran ZV et al (1985) Age-related declines in maximal aerobic capacity in regularly exercising vs. sedentary women: a meta-analysis. J Appl Physiol 83:160–165

    Article  Google Scholar 

  • Forde MS, Buchholz B (2004) Task content and physical ergonomic risk factors in construction ironwork. Int J Ind Ergon 34:319–333. doi:10.1016/j.ergon.2004.04.011

    Article  Google Scholar 

  • Forde MS, Punnett L, Wegman DH (2005) Prevalence of musculoskeletal disorders in union ironworkers. J Occup Environ Hyg 2:203–212. doi:10.1080/15459620590929635

    Article  Google Scholar 

  • Gheibi L, Nasl Saraji J, Zeraati H, Pouryaghub G (2009) Assessment of ergonomic situation of workers in a dam construction workshops using the NIOSH-CPWR Checklist. J Sch Public Heal Inst Public Heal Res 7:13–24

    Google Scholar 

  • Gilkey DP, Keefe TJ, Bigelow PL et al (2007) Low back pain among residential carpenters: ergonomic evaluation using OWAS and 2D compression estimation. Int J Occup Saf Ergon 13:305–321. doi:10.1080/10803548.2007.11076731

    Article  Google Scholar 

  • Goldsheyder D, Nordin ÃM, Weiner SS, Hiebert R (2002) Musculoskeletal symptom survey among mason tenders. Am J Ind Med 42:384–396. doi:10.1002/ajim.10135

    Article  Google Scholar 

  • Graham ID, Harrison MB, Nelson EA et al (2003) Prevalence of lower-limb ulceration: a systematic review of prevalence studies. Adv Skin Wound Care 16:305–316. doi:10.1097/00129334-200311000-00013

    Article  Google Scholar 

  • Guo HR, Chang YC, Yeh WY et al (2004) Prevalence of musculoskeletal disorder among workers in Taiwan: a nationwide study. J Occup Health 46:26–36. doi:10.1539/joh.46.26

    Article  Google Scholar 

  • Hanklang S, Kaewboonchoo O, Silpasuwan P, Mungarndee SS (2014) Musculoskeletal disorders among Thai women in construction-related work. Asia-Pacific J Public Heal 26:196–202. doi:10.1177/1010539512466429

    Article  Google Scholar 

  • Hegmann KT, Thiese MS, Garg EMWA et al (2014) Impacts of differences in epidemiological case definitions on prevalence for upper-extremity musculoskeletal disorders. Hum Factors J Hum Factors Ergon Soc 56:191–202. doi:10.1177/0018720813487202

    Article  Google Scholar 

  • Hoonakker P, van Duivenbooden C (2010) Monitoring working conditions and health of older rorkers in Dutch construction industry. Am J Ind Med 53:641–653. doi:10.1002/ajim.20838

    Article  Google Scholar 

  • Hoy D, Bain C, Williams G et al (2012) A systematic review of the global prevalence of low back pain. Arthritis Rheum 64:2028–2037. doi:10.1002/art.34347

    Article  Google Scholar 

  • Inyang N, Al-hussein M, El-rich M, Al-jibouri S (2012) Ergonomic analysis and the need for its integration for planning and assessing construction tasks. J Constr Eng Manag 138:1370–1376. doi:10.1061/(ASCE)CO

    Article  Google Scholar 

  • Jensen LK, Mikkelsen S, Loft IP, Eenberg W (2000) Work-Related knee disorders in floor layers and carpenters. J Occup Environ Med 42:835–842

    Article  CAS  Google Scholar 

  • Jung HS, Jung H-S (2008) Evaluation of proper height for squatting stool. Ergonomics 51:671–690. doi:10.1080/00140130701744506

    Article  Google Scholar 

  • Kenny GP, Yardley JE, Martineau L, Jay O (2008) Physical work capacity in older adults: implications for the aging worker. Am J Ind Med 51:610–625. doi:10.1002/ajim.20600

    Article  Google Scholar 

  • Kim S, Dutra LM, Okechukwu CA (2014) Contractor-, steward-, and coworker-safety practice: associations with musculoskeletal pain and injury-related absence among construction apprentices. Int Arch Occup Env Heal 87:493–500. doi:10.1007/s00420-013-0889-2

    Article  Google Scholar 

  • King S, Chambers CT, Huguet A et al (2011) The epidemiology of chronic pain in children and adolescents revisited: a systematic review. Pain 152:2729–2738. doi:10.1016/j.pain.2011.07.016

    Article  Google Scholar 

  • Kinoshita Y, Guo F (2015) What can boost female labor force participation in Asia? International Monetary Fund https://www.imf.org/external/pubs/ft/wp/2015/wp1556.pdf Accessed 9 Oct 2017

  • Kok LM, Huisstede BMA, Voorn VMA et al (2015) The occurrence of musculoskeletal complaints among professional musicians: a systematic review. Int Arch Occup Environ Health. doi:10.1007/s00420-015-1090-6

    Google Scholar 

  • Lee HY, Yeh WY, Chen CW, Wang JD (2005) Prevalence and psychosocial risk factors of upper extremity musculoskeletal pain in industries of Taiwan: a nationwide study. J Occup Health 47(4):311–318

    Article  Google Scholar 

  • Lemasters GK, Atterbury MR, Booth-Jones AD et al (1998) Prevalence of work related musculoskeletal disorders in active union carpenters. Occup Environ Med 55:421–427. doi:10.1136/oem.55.6.421

    Article  CAS  Google Scholar 

  • Loney PL, Chambers LW, Bennett KJ et al (1998) Critical appraisal of the health research literature: prevalence or incidence of a health problem. Chronic Dis Can 19:170–176

    CAS  Google Scholar 

  • Meo SA, Alsaaran ZF, Alshehri MK et al (2013) Work-related musculoskeletal symptoms among building construction workers in Riyadh, Saudi Arabia. Pak J Med Sci 29:1394–1399

    Google Scholar 

  • Merlino LA, Rosecrance JC, Anton DC, Cook TM (2003) Symptoms of musculoskeletal disorders among apprentice construction workers. Appl Occup Environ Hyg 18:57–64. doi:10.1080/10473220301391

    Article  Google Scholar 

  • Miller AEJ, Macdougall JD, Tarnopolsky MA, Sale DG (1993) Gender differences in strength and muscle fiber characteristics. Eur J Appl Physiol Occup Physiol 66:254–262

    Article  CAS  Google Scholar 

  • Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Reprint–preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Phys Ther 89:873–880. doi:10.1136/bmj.b2535

    Google Scholar 

  • Molano SM, Burdorf A, Elders LAM (2001) Factors associated with medical care-seeking due to low-back pain in scaffolders. Am J Ind Med 40:275–281. doi:10.1002/ajim.1099

    Article  CAS  Google Scholar 

  • Pandey V, Chakraborty T, Mukhopadhyay S (2012) Prevalence of musculoskeletal disorders, levels of physical activity and perceived quality of life amongst construction site managers in Mumbai: a case study. Work 43:447–451. doi:10.3233/WOR-2012-1461

    Google Scholar 

  • Peppas G, Alexiou VG, Mourtzoukou E, Falagas ME (2008) Epidemiology of constipation in Europe and Oceania: a systematic review. BMC Gastroenterol 8:5. doi:10.1186/1471-230X-8-5

    Article  Google Scholar 

  • Pheasant S (1996) Bodyspace: anthropometry, ergonomics and the design of work, second. Taylor & Francis, London

    Google Scholar 

  • Plouvier S, François J, Cyr D et al (2015) Occupational biomechanical exposure predicts low back pain in older age among men in the Gazel Cohort. Int Arch Occup Env Heal 88:501–510. doi:10.1007/s00420-014-0979-9

    Article  Google Scholar 

  • Rosecrance J, Pórszász J, Cook TM et al (2001) Musculoskeletal disorders among construction apprentices in Hungary. Cent Eur J Public Health 9:183–187

    CAS  Google Scholar 

  • Rothenbacher D, Brenner H, Arndt V et al (1997) Disorders of the back and spine in construction workers. Spine (Phila Pa 1976) 22:1481–1486

    Article  CAS  Google Scholar 

  • Samorodov A (1999) Ageing and labour markets for older workers. Employment and Training Department, International Labour Office Geneva. http://www.ilo.int/wcmsp5/groups/public/@ed_emp/documents/publication/wcms_120333.pdf Accessed 9 Oct 2017

  • Schwatka NV, Butler LM, Rosecrance JR (2012) An aging workforce and injury in the construction industry. Epidemiol Rev 34:156–167. doi:10.1093/epirev/mxr020

    Article  Google Scholar 

  • Telaprolu N, Lal B, Chekuri S (2013) Work related musculoskeletal disorders among unskilled Indian women construction workers. Natl J Community Med 4:658–661

    Google Scholar 

  • Thomas DR (2010) Sarcopenia. Clin Geriatr Med 26(2):331–346. doi:10.1016/j.cger.2010.02.012

    Article  Google Scholar 

  • Ueno S, Hisanaga N, Jonai H et al (1999) Association between musculoskeletal pain in Japanese construction workers and job, age, alcohol consumption and smoking. Ind Health 37:449–456

    Article  CAS  Google Scholar 

  • Umer W, Li H, Szeto GP, Wong AY (2017a) A low cost ergonomic intervention for mitigating physical and subjective discomfort during manual rebar tying. J Constr Eng Manag. doi:10.1061/(ASCE)CO.1943-7862.0001383

    Google Scholar 

  • Umer W, Li H, Szeto GPY, Wong AYL (2017b) Identification of biomechanical risk factors for the development of lower-back disorders during manual rebar tying. J Constr Eng Manag. doi:10.1061/(ASCE)CO.1943-7862.0001208

    Google Scholar 

  • van der Molen HF, Sluiter JK, Frings-Dresen MHW (2009) The use of ergonomic measures and musculoskeletal complaints among carpenters and pavers in a 4.5-year follow-up study. Ergonomics 52:954–963. doi:10.1080/00140130902763560

    Article  Google Scholar 

  • Village J (2000) A comparison of “case definitions” to estimate prevalence of work-related musculoskeletal disorders in hospital laundry workers and the influence of psychosocial variables. Proc Hum Factors Ergon Soc Annu Meet 44:577–580. doi:10.1177/154193120004403049

    Article  Google Scholar 

  • Visser S, van der Molen HF, Kuijer PPFM et al (2013) Evaluation of two working methods for screed floor layers on musculoskeletal complaints, work demands and workload. Ergonomics 56:69–78. doi:10.1080/00140139.2012.736541

    Article  Google Scholar 

  • Wang D, Dai F, Ning X (2015) Risk assessment of work-related musculoskeletal disorders in construction: state-of-the-art review. J Constr Eng Manag. doi:10.1061/(ASCE)CO.1943-7862.0000979

    Google Scholar 

  • Welch LS, Haile E, Boden LI, Hunting KL (2008) Age, work limitations and physical functioning among construction roofers. Work 31:377–385

    Google Scholar 

  • Wong AYL, Parent EC, Funabashi M et al (2013) Do various baseline characteristics of transversus abdominis and lumbar multifidus predict clinical outcomes in nonspecific low back pain? A systematic review. Pain 154:2589–2602. doi:10.1016/j.pain.2013.07.010

    Article  Google Scholar 

  • De Zwart BCH, Frings-Dresen MHW, van Duivenbooden JC (1999) Senior workers in the Dutch construction industry: a search for age-related work and health issues. Exp Aging Res 25:385–391. doi:10.1080/036107399243841

    Article  CAS  Google Scholar 

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Acknowledgements

The authors would like to thank Dr. Liliana Lapierre for assisting the screening of a Spanish article, Mr. Peyman Azad for translating and extracting relevant information from a Persian article, and Dr. Martha Funabashi for screening a Portuguese article.

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Authors and Affiliations

  1. Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong SAR, China

    Waleed Umer, Maxwell F. Antwi-Afari & Heng Li

  2. Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China

    Grace P. Y. Szeto & Arnold Y. L. Wong

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  1. Waleed Umer
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  2. Maxwell F. Antwi-Afari
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Correspondence to Arnold Y. L. Wong.

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Umer, W., Antwi-Afari, M.F., Li, H. et al. The prevalence of musculoskeletal symptoms in the construction industry: a systematic review and meta-analysis. Int Arch Occup Environ Health 91, 125–144 (2018). https://doi.org/10.1007/s00420-017-1273-4

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