The Effectiveness of Wearable Technology on Improving Safety and Health Monitoring of Construction Workers in Nigeria

World Journal of Civil Engineering and Architecture | Vol 4, Issue 1

Table 4. Bivariate and Multivariate Analysis ofFactors Associated with Improvement in Safety and Health Monitoring amongConstruction Workers

Variable	Not Improvedn (%)	Improvedn (%)	COR (95% CL)	p-value	AOR (95% CL)	p-value
	190 (51.4%)	180 (48.6%)

Improvement in safety and health monitoring Wearable Technology Utilisation			-	-	-	-
Not used	151 (79.5%)	93 (51.7%)	Ref	-	-	-
Used	39 (20.5%)	87 (48.3%)	3.622 [2.292-5.724	<0.001*	5.937 [5.824-21.752]	<0.001*

Awareness of wearable Technology
Low	149 (78.4%)	101 (56.1%)	Ref	-	-	-
High	41 (21.6%)	79 (43.9%)	2.843 [1.805-4.476]	<0.001*	0.120 [0.025-.586]	0.009*

Job role
Construction Worker	187 (98.4%)	124 (68.9%)	0.036 [0.011-0.116	<0.001*	0.058 [0.009-0.358]	0.002*
Supervisor/Manager/Others	3 (1.6%)	56 (31.1%)	Ref	-	-	-

Experience in the construction industry
1 - 3 years	143 (75.3%)	79 (43.9%)	0.257 [0.165-0.400	<0.001*	0.268 [0.103-0.696]	0.007*
Above 3 years	47 (24.7%)	101 (56.1%)	Ref	-	-	-

Current construction project
Residential	98 (51.6%)	69 (38.3%)	0.591 [0.354-0.988]	0.045*	1.644 [0.420-6.436]	0.475
Commercial	50 (26.3%)	61 (33.9%)	1.025 [0.588-1.785]	0.931	7.495 [2.253-24.932]	0.001*
Industrial & Infrastructural	42 (22.1%)	50 (27.8%)	Ref	-	-	-

Age group
18 - 24 years	54 (28.4%)	56 (31.1%)	0.259 [0.110-0.613]	0.002*	1.267 [0.178-8.991]	0.813
25 - 34 years	128 (67.4%)	92 (51.1%)	0.18 [0.079-0.408]	<0.001*	2.443 [0.449-13.301]	0.301
35 years & above	8 (4.2%)	32 (17.8%)	Ref	-	-	-

Level of education
Secondary/Technical/Vocational	64 (33.7%)	65 (36.1%)	0.587 [0.345-0.999]	0.050*	1.103 [0.244-4.995]	0.899
High school diploma	89 (46.8%)	51 (28.3%)	0.331 [0.195-0.564]	<0.001*	0.624 [0.158-2.473]	0.502
Bachelor’s degree or higher	37 (19.5%)	64 (35.6%)	Ref	-	-	-

Source: Field Survey *Significant at p<0.05