Research Article
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Modelıng Occupatıonal Health And Safety Rısks Among Unskılled Workers In Constructıon Industry

Year 2020, Volume: 8 Issue: 1, 28 - 36, 30.06.2020

Hezekiah Oluwole Adeyemi Olatilewa Rapheal Abolade Ajibola Oluwafemi Oyedejı Olanrewaju Bilikis Olatunde

Abstract





To enhance workers’ protection in
construction tasks, Occupational Health and Safety Risks (OHSR) needs to be
properly recognized, assessed and controlled. This study modeled Health and
Safety Risk (HSR) among unskilled workers in construction works. Data was
collected from 150 subjects in 12 construction sites located in Southwest
Nigeria. Variables considered to play key roles in HSR causation were measured
with questionnaire. All variables that correlated significantly (p≤ 0.05) to
HSR on the tasks were noted by Spearman’s rho correlation (Src) using SPSS
software. The model prediction was by adjusted R2 and was validated by
comparison with Human Professionals’ Predictions (HPP). Model Cook’s distance
and its closeness to being normally distributed were evaluated. 37 attributes
variables were initially collated with 13 predictor variables remained in the
optimum model. Wrong work-methods, lack of work-control and harsh outdoor
environment ranked among the strongest positive β coefficients (0.217, 0.127
and 0.126 respectively). The maximum coefficient of the adjusted R2
determination was 0.708. The histogram of the residuals suggested closeness
to being normally distributed and 0.930 as the maximum Cook’s distance.
Comparison between the OHSR model and the HPP had Src strength of 0.965
(p<.01). The OHSR showed statistically significantly higher level of
hazards’ rating (3.7533 ± 0.233) compared to HPP (3.2667 ± 0.18097), t(28) =
-1.648, p = 0.197. OHSR model was developed and the performance was rated
good, satisfied the study’s objectives. The author recommended development of
measures at reducing β coefficients of all the predictor variables to
minimize workplaces OHSR



 

References

  • Davos, K. “Matching Skills and Labour Market Needs Building Social Partnerships for Better Skills and Better Jobs”. [Accessed August 2018) http://www3.weforum.org/docs/GAC/2014/WEF_GAC_Employment_MatchingSkillsLabourMarket_Report_2014.pdf (2014)
  • Machin, S. “The Changing Nature of Labour Demand in the New Economy and Skill -Biased Technology Change”, Oxford Bulletin of Economics and Statistics, 63, (2001), 753-776.
  • Alice, B., Tony, Z., Kerina, T.,Gicsuillermo, H. “Milieu Ltd, Brussels Occupational health and safety risk s for the most vulnerable workers”.[ Accessed 24 May, 2017] Available from ttp://www.europarl.europa.eu/document (2011).
  • Bureau of Labour Statistics (BLS). “Occupational Outlook Handbook”. Edition [Accessed 24 May, 2017] Available from http://www.bls.gov/home.htm (2010)
  • Occupational Health and Safety Authority “Code of Practice for the Construction Industry” [Accessed 12 June, 2016] Available from http://ohsa.org.mt/Portals/0/Docs/Useful%20Information/2016/CodePractice_Building%202006.pdf. (2006)
  • Yahya, K., Hassan, A., Ebrahim, H., Narmin, H.,Hamid, B., Amir, H. B. “Factors Influencing Unsafe Behaviors and Accidents on Construction Sites: A Review”. International Journal of Occupational Safety and Ergonomics (JOSE), 20(1), (2014), 111–12
  • Bureau of Labour Statistics, U.S. Department of Labour.Construction Labourers “Occupational Outlook Handbook”. [Accessed 5 January, 2009] (2008). Available from www.bls.gov/oco/ocos248.htm
  • Health and Safety Executive “Employers’ perceptions of the health and safety of young” [Accessed July 24, 2016] (2015) Available from http://www.hse.gov.uk/research/rrpdf/rr1061.pdf
  • Occupational Outlook Handbook (OOH). ”Bricklayers and Stonemasons” (1998). [Accessed 16 February, 2011] Available from http://www.hand-clinic.com/pop_emergency/tms.htm
  • Occupational Safety and Health Branch Labour Department “Occupational health quide- Good health is good future” (2005) [Accessed August 2, 2015] Available from http://www.labour.gov.hk
  • Hinze J, Pedersen C, Fredley J. “Identifying root causes of construction injuries”. Journal of Construction Engineering and Management, 124(1), (1998), 67–71.
  • Occupational Safety and Health Branch LabourDepartment (2005) “Occupational health quide- Good health is good future” [Accessed 2 February, 2017] Available from http://www.labour.gov.hk
  • Akomeno U. O. and Rasheed A. A. “The Lagos Megacity” [Accessed June2, 2016] Available from http://eaumega.org/wp-content/uploads/2016/05/EN-Lagos-Monograph.pdf
  • Statistical Package for the SocialSciences (SPSS) (2007). “SPSS regression models [Accessed [Accessed 12 June, 2016] Available from http:/wwww.spss.com/regression
  • .Adeyemi H.O,.AdejuyigbeS.BandIsmailaS.O. “Low back pain assessment application for construction workers”.Journal of Engineering, Design and Technology, 13(3), (2015), 419-434.
  • Field, A. P. “Discovering statistics using IBM SPSS Statistics: And sex and drugs and rock 'n' roll” (4th ed.). (2013). London: Sage
  • Veronica M., Graham B., John D. S. And Jens T. “Self-Pacing as a Protective Mechanism against the Effects of Heat Stress” Ann. Occup. Hyg., 55(5), (2011), 548–555,
  • Brake, D.J, Bates, G.P. “Deep body core temperatures in industrial workers under thermal stress”, J Occup Environ Med., 44, (2002), 125–35.
  • Rajeev, R., Amanda, P., Jeremy, A. “Effects of Substance Use on Workplace Injuries” [[Accessed 5 January, 2017] Available from http://www.rand.org/content/dam/rand/pubs/occasional
  • Shipp, Eva M., Susan R. Tortolero, Sharon P. Cooper, Elizabeth G. Baumler, and Nancy F. Weller, “Substance Use and Occupational Injuries Among High School Students in South Texas,” American Journal of Drug and Alcohol Abuse, 31(2), (2005), 253–265.
  • America’s Medicine Cabinet “Use Medicines Safely” [Accessed 15 June, 2016] Available from https://www.ismp.org/tools/ISMP-Med-Cabinet-10.pdf
  • Health and Safety Executive “A guide for employers on alcohol at work”. [Accessed 5 May, 2017] Available from http://www.hse.gov.uk/pubns/indg240.pdf
  • Construction Safety Council (2012) “Health Hazards in Construction Workbook“ 4100 Madison Street Hillside, IL 60162 [[Accessed 5 January, 2016] Available from 4 www.buildsafe.org
  • Goetzel, R.Z, Shechter, D., Ozminkowski, R.J, Marmet, P.F, Tabrizi, M.J “Roemer EC. CME Promising Practices in Employer Health and Productivity Management Efforts: Findings From a Benchmarking Study”. Journal of Occupational and Environmental Medicine,49(2), , (2007), 111-130.
  • Cook T., and Campbell D., “Impact of Work Site Health Promotion on Health Care Costs and Utilization”, Journal of Community Health, 16, (2009), 99 -117
  • Labour Institute and the United Steelworkers International Union “Under grant number SH-17045-08-60-F-42 “Lessons Learned” 9(23), (2009). The Labour Institute http://www.uswtmc.org/resources/lessons-learned/lessons-learned-2009/lessons-learned-09-23.pdfpp 1-14 [Accessed 6 February, 2018)
  • University of California “Shop, Tool and Electrical Safety” [Accessed 5 January, 2016] Available from http://www.ucop.edu/environment-health-safety/_files/safety-spotlight/135915.pdf

Modelling occupational health and safety risks among unskilled workers in construction industry

Year 2020, Volume: 8 Issue: 1, 28 - 36, 30.06.2020

Hezekiah Oluwole Adeyemi Olatilewa Rapheal Abolade Ajibola Oluwafemi Oyedejı Olanrewaju Bilikis Olatunde

Abstract





To enhance workers’ protection in
construction tasks, Occupational Health and Safety Risks (OHSR) needs to be
properly recognized, assessed and controlled. This study modeled Health and
Safety Risk (HSR) among unskilled workers in construction works. Data was
collected from 150 subjects in 12 construction sites located in Southwest
Nigeria. Variables considered to play key roles in HSR causation were measured
with questionnaire. All variables that correlated significantly (p≤ 0.05) to
HSR on the tasks were noted by Spearman’s rho correlation (Src) using SPSS
software. The model prediction was by adjusted R2 and was validated by
comparison with Human Professionals’ Predictions (HPP). Model Cook’s distance
and its closeness to being normally distributed were evaluated. 37 attributes
variables were initially collated with 13 predictor variables remained in the
optimum model. Wrong work-methods, lack of work-control and harsh outdoor
environment ranked among the strongest positive β coefficients (0.217, 0.127
and 0.126 respectively). The maximum coefficient of the adjusted R2
determination was 0.708. The histogram of the residuals suggested closeness
to being normally distributed and 0.930 as the maximum Cook’s distance.
Comparison between the OHSR model and the HPP had Src strength of 0.965
(p<.01). The OHSR showed statistically significantly higher level of
hazards’ rating (3.7533 ± 0.233) compared to HPP (3.2667 ± 0.18097), t(28) =
-1.648, p = 0.197. OHSR model was developed and the performance was rated
good, satisfied the study’s objectives. The author recommended development of
measures at reducing β coefficients of all the predictor variables to
minimize workplaces OHSR



 

Keywords

Unskilled safety model predictor variables

References

  • Davos, K. “Matching Skills and Labour Market Needs Building Social Partnerships for Better Skills and Better Jobs”. [Accessed August 2018) http://www3.weforum.org/docs/GAC/2014/WEF_GAC_Employment_MatchingSkillsLabourMarket_Report_2014.pdf (2014)
  • Machin, S. “The Changing Nature of Labour Demand in the New Economy and Skill -Biased Technology Change”, Oxford Bulletin of Economics and Statistics, 63, (2001), 753-776.
  • Alice, B., Tony, Z., Kerina, T.,Gicsuillermo, H. “Milieu Ltd, Brussels Occupational health and safety risk s for the most vulnerable workers”.[ Accessed 24 May, 2017] Available from ttp://www.europarl.europa.eu/document (2011).
  • Bureau of Labour Statistics (BLS). “Occupational Outlook Handbook”. Edition [Accessed 24 May, 2017] Available from http://www.bls.gov/home.htm (2010)
  • Occupational Health and Safety Authority “Code of Practice for the Construction Industry” [Accessed 12 June, 2016] Available from http://ohsa.org.mt/Portals/0/Docs/Useful%20Information/2016/CodePractice_Building%202006.pdf. (2006)
  • Yahya, K., Hassan, A., Ebrahim, H., Narmin, H.,Hamid, B., Amir, H. B. “Factors Influencing Unsafe Behaviors and Accidents on Construction Sites: A Review”. International Journal of Occupational Safety and Ergonomics (JOSE), 20(1), (2014), 111–12
  • Bureau of Labour Statistics, U.S. Department of Labour.Construction Labourers “Occupational Outlook Handbook”. [Accessed 5 January, 2009] (2008). Available from www.bls.gov/oco/ocos248.htm
  • Health and Safety Executive “Employers’ perceptions of the health and safety of young” [Accessed July 24, 2016] (2015) Available from http://www.hse.gov.uk/research/rrpdf/rr1061.pdf
  • Occupational Outlook Handbook (OOH). ”Bricklayers and Stonemasons” (1998). [Accessed 16 February, 2011] Available from http://www.hand-clinic.com/pop_emergency/tms.htm
  • Occupational Safety and Health Branch Labour Department “Occupational health quide- Good health is good future” (2005) [Accessed August 2, 2015] Available from http://www.labour.gov.hk
  • Hinze J, Pedersen C, Fredley J. “Identifying root causes of construction injuries”. Journal of Construction Engineering and Management, 124(1), (1998), 67–71.
  • Occupational Safety and Health Branch LabourDepartment (2005) “Occupational health quide- Good health is good future” [Accessed 2 February, 2017] Available from http://www.labour.gov.hk
  • Akomeno U. O. and Rasheed A. A. “The Lagos Megacity” [Accessed June2, 2016] Available from http://eaumega.org/wp-content/uploads/2016/05/EN-Lagos-Monograph.pdf
  • Statistical Package for the SocialSciences (SPSS) (2007). “SPSS regression models [Accessed [Accessed 12 June, 2016] Available from http:/wwww.spss.com/regression
  • .Adeyemi H.O,.AdejuyigbeS.BandIsmailaS.O. “Low back pain assessment application for construction workers”.Journal of Engineering, Design and Technology, 13(3), (2015), 419-434.
  • Field, A. P. “Discovering statistics using IBM SPSS Statistics: And sex and drugs and rock 'n' roll” (4th ed.). (2013). London: Sage
  • Veronica M., Graham B., John D. S. And Jens T. “Self-Pacing as a Protective Mechanism against the Effects of Heat Stress” Ann. Occup. Hyg., 55(5), (2011), 548–555,
  • Brake, D.J, Bates, G.P. “Deep body core temperatures in industrial workers under thermal stress”, J Occup Environ Med., 44, (2002), 125–35.
  • Rajeev, R., Amanda, P., Jeremy, A. “Effects of Substance Use on Workplace Injuries” [[Accessed 5 January, 2017] Available from http://www.rand.org/content/dam/rand/pubs/occasional
  • Shipp, Eva M., Susan R. Tortolero, Sharon P. Cooper, Elizabeth G. Baumler, and Nancy F. Weller, “Substance Use and Occupational Injuries Among High School Students in South Texas,” American Journal of Drug and Alcohol Abuse, 31(2), (2005), 253–265.
  • America’s Medicine Cabinet “Use Medicines Safely” [Accessed 15 June, 2016] Available from https://www.ismp.org/tools/ISMP-Med-Cabinet-10.pdf
  • Health and Safety Executive “A guide for employers on alcohol at work”. [Accessed 5 May, 2017] Available from http://www.hse.gov.uk/pubns/indg240.pdf
  • Construction Safety Council (2012) “Health Hazards in Construction Workbook“ 4100 Madison Street Hillside, IL 60162 [[Accessed 5 January, 2016] Available from 4 www.buildsafe.org
  • Goetzel, R.Z, Shechter, D., Ozminkowski, R.J, Marmet, P.F, Tabrizi, M.J “Roemer EC. CME Promising Practices in Employer Health and Productivity Management Efforts: Findings From a Benchmarking Study”. Journal of Occupational and Environmental Medicine,49(2), , (2007), 111-130.
  • Cook T., and Campbell D., “Impact of Work Site Health Promotion on Health Care Costs and Utilization”, Journal of Community Health, 16, (2009), 99 -117
  • Labour Institute and the United Steelworkers International Union “Under grant number SH-17045-08-60-F-42 “Lessons Learned” 9(23), (2009). The Labour Institute http://www.uswtmc.org/resources/lessons-learned/lessons-learned-2009/lessons-learned-09-23.pdfpp 1-14 [Accessed 6 February, 2018)
  • University of California “Shop, Tool and Electrical Safety” [Accessed 5 January, 2016] Available from http://www.ucop.edu/environment-health-safety/_files/safety-spotlight/135915.pdf
There are 27 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Hezekiah Oluwole Adeyemi 0000-0002-5815-7321

Olatilewa Rapheal Abolade This is me 0000-0002-5815-7321

Ajibola Oluwafemi Oyedejı

Olanrewaju Bilikis Olatunde This is me

Publication Date June 30, 2020
Published in Issue Year 2020 Volume: 8 Issue: 1

Cite

APA Adeyemi, H. O., Abolade, O. R., Oyedejı, A. O., Olatunde, O. B. (2020). Modelling occupational health and safety risks among unskilled workers in construction industry. MANAS Journal of Engineering, 8(1), 28-36.
AMA Adeyemi HO, Abolade OR, Oyedejı AO, Olatunde OB. Modelling occupational health and safety risks among unskilled workers in construction industry. MJEN. June 2020;8(1):28-36.
Chicago Adeyemi, Hezekiah Oluwole, Olatilewa Rapheal Abolade, Ajibola Oluwafemi Oyedejı, and Olanrewaju Bilikis Olatunde. “Modelling Occupational Health and Safety Risks Among Unskilled Workers in Construction Industry”. MANAS Journal of Engineering 8, no. 1 (June 2020): 28-36.
EndNote Adeyemi HO, Abolade OR, Oyedejı AO, Olatunde OB (June 1, 2020) Modelling occupational health and safety risks among unskilled workers in construction industry. MANAS Journal of Engineering 8 1 28–36.
IEEE H. O. Adeyemi, O. R. Abolade, A. O. Oyedejı, and O. B. Olatunde, “Modelling occupational health and safety risks among unskilled workers in construction industry”, MJEN, vol. 8, no. 1, pp. 28–36, 2020.
ISNAD Adeyemi, Hezekiah Oluwole et al. “Modelling Occupational Health and Safety Risks Among Unskilled Workers in Construction Industry”. MANAS Journal of Engineering 8/1 (June 2020), 28-36.
JAMA Adeyemi HO, Abolade OR, Oyedejı AO, Olatunde OB. Modelling occupational health and safety risks among unskilled workers in construction industry. MJEN. 2020;8:28–36.
MLA Adeyemi, Hezekiah Oluwole et al. “Modelling Occupational Health and Safety Risks Among Unskilled Workers in Construction Industry”. MANAS Journal of Engineering, vol. 8, no. 1, 2020, pp. 28-36.
Vancouver Adeyemi HO, Abolade OR, Oyedejı AO, Olatunde OB. Modelling occupational health and safety risks among unskilled workers in construction industry. MJEN. 2020;8(1):28-36.

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