. 2020 Feb 15;17(4):1253. doi: 10.3390/ijerph17041253

Table 3.

Linear regression model: socio-demographic variables, work-related variables, and CF.

Models	R	R ²	Adjusted R²	Standard Error of the Estimate	Change Statistics
Models	R	R ²	Adjusted R²	Standard Error of the Estimate	R ² Change	F Change
1	0.06 ^a	0	0	7.86	0	7.26
2	0.09 ^b	0	0	7.85	0	6.68
3	0.12 ^c	0.01	0.01	7.83	0	8.92
4	0.14 ^d	0.02	0.02	7.9	0	9.06
Model 4	Unstandardised Coefficients		Standardised Coefficients			95% Confidence Interval
Model 4	B	Std. Error	Beta	t	p	Lower Limit
(Constant)	16.6	0.81		20.3	0	15
Married	1.17	0.43	0.06	2.68	0	0.31
Urban area	2.36	0.69	0.09	3.42	0	1.01
Primary care	1.74	0.45	0.11	3.84	0	0.85
Morning/Evening/Night shift	1.42	0.47	0.08	3.01	0	0.49

Note: R = coefficient of determination; F = Fisher-Snedecor test; β = Regression coefficient; Std. Error= Standard Error; t = Student’s t-test; a = married; b = married, urban area; c = married, urban area, primary care; d = married, urban area, primary care, morning/evening/night shift. Correlation is significant at the 0.05 level.