Evaluating the effectiveness of strategies for mitigating fatigue among construction workers in Abuja, Nigeria: a quantitative analysis

References

• Fang D, Jiang Z, Zhang M, et al. An experimental method to study the effect of fatigue on construction workers’ safety performance. Saf Sci. 2015;73:80–91. doi:10.1016/j.ssci.2014.11.019
   Web of Science ®Google Scholar
• Aryal A, Ghahramani A, Becerik-Gerber B. Monitoring fatigue in construction workers using physiological measurements. Autom Constr. 2017;82:154–165. doi:10.1016/j.autcon.2017.03.003
   Web of Science ®Google Scholar
• Emuze F. Factors causing fatigue and safety-related errors on construction sites in Bloemfontein, Free State, South Africa. In: Scott L, Neilson CJ, editors. Proceedings of the 36th Annual Arcom Conference; 2020 Sep 7–8; virtual, UK, Association of Researchers in Construction Management. p. 215–224.
   Google Scholar
• Rwamamara RA, Lagerqvist O, Olofsson T, et al. Evidence-based prevention of work-related musculoskeletal injuries in construction industry. J Civ Eng Manage. 2010;16:499–509. doi:10.3846/jcem.2010.56
   Google Scholar
• Bussier MJP, Chong HY. Relationship between safety measures and human error in the construction industry: working at heights. Int J Occup Saf Ergon. 2022;28:162–173. doi:10.1080/10803548.2020.1760559
   PubMed Web of Science ®Google Scholar
• Reason J. Managing the risks of organizational accidents. London: Routledge; 1997.
   Google Scholar
• Xing X, Zhong B, Luo H, et al. Effects of physical fatigue on the induction of mental fatigue of construction workers: a pilot study based on a neurophysiological approach. Autom Constr. 2020;120:103–181. doi:10.1016/j.autcon.2020.103381
   Web of Science ®Google Scholar
• Okoro CS, Musonda I, Agumba J. Identifying determinants of construction worker performance on construction sites: a literature review. Int J Innov Manag Technol. 2017;8:60–63. doi:10.18178/ijimt.2017.8.1.703
   Google Scholar
• Umeokafor NI. Construction health and safety research in Nigeria: towards a sustainable future. In: Saurin TA, Costa DB, Behm M, et al., editors. Proceedings of the Joint CIBW 99 and TG59 Conference; 23 August 2018; University of Greenwish; p. 213–221.
   Google Scholar
• Liu M, Tang P, Liao PC, et al. Propagation mechanics from workplace hazards to human errors with dissipative structure theory. Saf Sci. 2020;126:104–161.
   Web of Science ®Google Scholar
• Luo F, Li RYM, Crabbe MJ, et al. Economic development and construction safety research: a bibliometrics approach. Saf Sci. 2022;145:19–55.
   Web of Science ®Google Scholar
• Umeokafor NI, Umar T, Evangelinos K. Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021. Saf Sci. 2022;156(10):58–97. doi:10.1016/j.ssci.2022.105897
   Google Scholar
• Jin R, Zou P, Piroozfar P, et al. A Science mapping approach based review of construction safety research. Saf. Sci. 2019;113:285–297. doi:10.1016/j.ssci.2018.12.006
   Web of Science ®Google Scholar
• Lu L, Megahed FM, Cavuoto LA. Interventions to mitigate fatigue induced by physical work: a systematic review of research quality and levels of evidence for intervention efficacy. Hum Factors. 2021;63:151–191. doi:10.1177/0018720819876141
   Web of Science ®Google Scholar
• Sanquist T, Jackson JE, Campbell JL, Fatigue risk management guide for rapid renewal highway construction projects. In: Strategic highway research program. Washington (DC): Federal Highway Administration; 2013. p7.
   Google Scholar
• Chakraborty T, Das SK, Pathak V, et al. Occupational stress, musculoskeletal disorders and other factors affecting the quality of life in Indian construction workers. Int J Constr Manag. 2018;18:144–150. doi:10.1080/15623599.2017.1294281
   Google Scholar
• Anwer S, Li H, Antwi-Afari MF, et al. Evaluation of physiological metrics as real-time measurement of physical fatigue in construction workers: state-of-the-art review. J Constr Eng Manag. 2021;147:21–31. doi:10.1061/(ASCE)CO.1943-7862.0002038
   Web of Science ®Google Scholar
• Marcora SM, Staiano W, Manning V. Mental fatigue impairs physical performance in humans. J Appl Physiol Respir Environ Exerc Physiol. 2009;3:71–93.
   Google Scholar
• Hallowell MR. Worker fatigue: managing concerns in rapid renewal highway construction projects. Prof Saf. 2010;55:18–26.
   Google Scholar
• Senaratne S, Rasagopalasingam V. The causes and effects of work stress in construction project managers: the case in Sri Lanka. Int J Constr Manag. 2017;17:65–75. doi:10.1080/15623599.2016.1167358
   Google Scholar
• Leung MY, Chan YS, Yu J. Integrated model for the stressors and stresses of construction project managers in Hong Kong. J Constr Eng Manag. 2009;135:126–134. doi:10.1061/(ASCE)0733-9364(2009)135:2(126)
   Web of Science ®Google Scholar
• Leung MY, Chan YS, Yuen KW. Impacts of stressors and stress on the injury incidents of construction workers in Hong Kong. J Constr Eng Manag. 2010;136:93–103.
   Web of Science ®Google Scholar
• Phegley K. Consequences of fatigue and sleep deficiency in the workplace: implications for the construction industry [A Master of Public Health Thesis]. Wright State University; 2017.
   Google Scholar
• Love PE, Teo P, Ackermann F, et al. Reduce rework, improve safety: an empirical inquiry into the precursors to error in construction. Production Planning & Control. 2018;29:353–366. doi:10.1080/09537287.2018.1424961
   Web of Science ®Google Scholar
• Zawawi ABA. Antecedents of occupational stress among the professionals in the construction industry: moderating role of self-efficacy [PhD thesis]. Universiti Malaysia Sabah, Kota Kinabalu; 2013.
   Google Scholar
• Guilleminault C, Brooks SN. Excessive daytime sleepiness: a challenge for the practising neurologist. Brain. 2001;124:1482–1491. doi:10.1093/brain/124.8.1482
   PubMed Web of Science ®Google Scholar
• Pandey V, Chakraborty T, Mukhopadhyay S. Prevalence of musculoskeletal disorders, levels of physical activity and perceived quality of life amongst construction site managers in Mumbai: a case study. Work. 2012;43:447–451. doi:10.3233/WOR-2012-1461
   PubMedGoogle Scholar
• Das SK, Mukhopadhyay S. Effect of altered body composition on musculoskeletal disorders in medical practitioners. Int J Res Eng Tech. 2016;5:1–6.
   Google Scholar
• Das SK, Mukhopadhyay S, Koilakuntla M. Analytic hierarchy process to rate risk factors associated with wmsds in general physicians. J Health Manag. 2015;17:241–247.
   Google Scholar
• Caldwell JA, Caldwell JL, Thompson LA, et al. Fatigue and its management in the workplace. Neurosci Biobehav Rev. 2019;96:272–289. doi:10.1016/j.neubiorev.2018.10.024
   PubMed Web of Science ®Google Scholar
• Ye G, Xiang Q, Yang L, et al. Safety stressors and construction workers’ safety performance: the mediating role of ego depletion and self-efficacy. Front Psychol. 2022;12:818–955.
   Web of Science ®Google Scholar
• Mine Y, Fujino Y, Matsuda S. The interaction between pain intensity and pain self-efficacy in work functioning impairment. J Occup Environ Med. 2020;62:e149–e153. doi:10.1097/JOM.0000000000001821
   Web of Science ®Google Scholar
• Ventura M, Salanova M, Llorens S. Professional self-efficacy as a predictor of burnout and engagement: the role of challenge and hindrance demands. J Psychol. 2015;149:277–302. doi:10.1080/00223980.2013.876380
   PubMed Web of Science ®Google Scholar
• Watkins M, Mukherjee A, Onder N, et al. Using agent-based modeling to study construction labor productivity as an emergent property of individual and crew interactions. J Constr Eng Manag. 2009;135:657–667. doi:10.1061/(ASCE)CO.1943-7862.0000022
   Web of Science ®Google Scholar
• Mitropoulos P, Memarian B. Team processes and safety of workers: cognitive, affective, and behavioral processes of construction crews. J Constr Eng Manag. 2012;138:1181–1191. doi:10.1061/(ASCE)CO.1943-7862.0000527
   Web of Science ®Google Scholar
• Antwi-Afari M, Li H, Edwards D, et al. Biomechanical analysis of risk factors for work-related musculoskeletal disorders during repetitive lifting task in construction workers. Autom Constr. 2017;83:41–47. doi:10.1016/j.autcon.2017.07.007
   Web of Science ®Google Scholar
• Dababneh AJ, Swanson N, Shell RL. Impact of added rest breaks on the productivity and well being of workers. Ergonomics. 2001;44:164–174. doi:10.1080/00140130121538
   PubMed Web of Science ®Google Scholar
• Techera U, Hallowell M, Littlejohn R, et al. Measuring and predicting fatigue in construction: empirical field study. J Constr Eng Manag. 2018;144:41–82. doi:10.1061/(ASCE)CO.1943-7862.0001513
   Web of Science ®Google Scholar
• Lee W, Lin KY, Johnson PW, et al. Selection of wearable sensor measurements for monitoring and managing entry-level construction worker fatigue: a logistic regression approach. Eng Constr Arch Manag. 2021;29:156–172.
   Web of Science ®Google Scholar
• Aka A, Bamgbade AA, Ibrahim S, et al. A conceptual framework for waste identification and reduction in Nigerian sandcrete blocks production process. Constr Innov. 2019;19:405–423. doi:10.1108/CI-11-2017-0091
   Web of Science ®Google Scholar
• Adamu N, Nensok MH, Aka A;  Multi-skilling barriers in the construction industry in North-Western Nigeria. In: Laryea, S: Proceedings of West African Built Environment (WABER) Conference; 2012 Jul 24–26; Abuja, University of Reading. p. 67.
   Google Scholar
• Bamgbade AA, Jimoh RA, Oyewobi LO, et al. Influence of teamwork diversity factors on organization performance of construction firms in Nigeria. Cov J Res Built Environ. 2020;8:1–10.
   Google Scholar
• Eigege J, Aka A, Agbo AE. Effective implementation of health and safety practices on construction site: barriers and movers. In: RA Jimoh, SETIC International Conference Book of Proceedings; 2020 May 3–5; Federal University of Technology, Minna Niger State p. 226.
   Google Scholar
• Aka A, Iji J, Isa RB, et al. Assessing the relationships between underlying strategies for effective building information modeling (BIM) implementation in Nigeria construction industry. Arch Eng Design Manag. 2021;17:434–446. doi:10.1080/17452007.2020.1847026
   Web of Science ®Google Scholar
• Shittu AA, Odine LC, Tsado AJ, et al. Influence of logistics on material procurement for construction projects in Abuja, Nigeria. Trop J Built Environ. 2022;3:36–51.
   Google Scholar
• Sakaran U, Bougie R. Research methods for business: a skill building approach. Wiley, Texas; 2016.
   Google Scholar
• Digital Bridge Institute (DBI). Data analysis using SPSS 23: statistical package for social science 2018. Abuja: Nigerian Communication Commission.
   Google Scholar
• George D, Mallery P. Cronbach’s alpha. In: SPSS for Windows step by step: a simple guide and reference. 11.0 Update. Boston (MA): Allyn and Bacon; 2003.
   Google Scholar
• Agresti A, Franklin C. The art and science of learning from data. Upper Saddle River (NJ, Pearson); 2007. p. 88.
   Google Scholar
• Landau S, Everitt BS. A handbook of statistical analyses using SPSS. Chapman and Hall/CRC, Hothorn; 2003.
   Google Scholar
• Aka A, Isah AD, Eze CJ, et al. Application of lean manufacturing tools and techniques for waste reduction in Nigerian bricks production process. Eng Constr Arch Manag. 2019;27:658–679. doi:10.1108/ECAM-09-2018-0375
   Web of Science ®Google Scholar
• Curran PJ. The robustness of confirmatory factor analysis to model misspecification and violations of normality. Arizona State University Tempe; 1994.
   Google Scholar
• Pallant J. SPSS survival manual: a step-by-step guide to data analysis using SPSS. 5th ed. Australia: Allen and Uwin; 2013.
   Google Scholar
• Spector PE. Summated rating scale construction: an introduction. London: Sage; 1992.
   Google Scholar
• Pencavel J. The productivity of working hours. Econ J. 2015;125:2052–2076. doi:10.1111/ecoj.12166
   Web of Science ®Google Scholar
• Parent-Lamarche A, Fernet C. The role of employee self-efficacy in top-down burnout crossover: a longitudinal study. J Occup Environ Med. 2020;62:803–809. doi:10.1097/JOM.0000000000001924
   Web of Science ®Google Scholar
• Rhee SY, Hur WM, Kim M. The relationship of coworker incivility to job performance and the moderating role of self-efficacy and compassion at work: the job demands–resources (JD-R) approach. J Bus Psychol. 2017;32:711–726. doi:10.1007/s10869-016-9469-2
   Web of Science ®Google Scholar
• Llorens-Gumbau S, Salanova-Soria M. Loss and gain cycles? A longitudinal study about burnout, engagement and self-efficacy. Burn Res. 2014;1:3–11. doi:10.1016/j.burn.2014.02.001
   Google Scholar
• Nahrgang JD, Morgeson FP, Hofmann DA. Safety at work: a meta-analytic investigation of the link between job demands, job resources, burnout, engagement, and safety outcomes. J Appl Psychol. 2011;96:71–94. doi:10.1037/a0021484
   PubMed Web of Science ®Google Scholar
• Yu Y, Li H, Yang X, et al. An automatic and non-invasive physical fatigue assessment method for construction workers. Autom Constr. 2019;103:1–12. doi:10.1016/j.autcon.2019.02.020
   Web of Science ®Google Scholar
• Kulkarni VS, Devalkar R. Postural analysis of building construction workers using ergonomics. Int J Constr Manag. 2019;19:464–471. doi:10.1080/15623599.2018.1452096
   Google Scholar
• Chen J, Qiu J, Ahn C. Construction worker’s awkward posture recognition through supervised motion tensor decomposition. Autom Constr. 2017;77:67–81. doi:10.1016/j.autcon.2017.01.020
   Web of Science ®Google Scholar
• Ray SJ, Teizer J. Real-time construction worker posture analysis for ergonomics training. Adv Eng Inf. 2012;26:439–455. doi:10.1016/j.aei.2012.02.011
   Web of Science ®Google Scholar
• Akanmu AA, Olayiwola J, Ogunseiju O, et al. Cyber-physical postural training system for construction workers. Autom Constr. 2020;117:103–272.
   Web of Science ®Google Scholar
• Palikhe S, Yirong M, Choi BY, et al. Analysis of musculoskeletal disorders and muscle stresses on construction workers’ awkward postures using simulation. Sustainability. 2020;12:5693–5693. doi:10.3390/su12145693
   Web of Science ®Google Scholar