. 2023 Apr 28;23:256. doi: 10.1186/s12877-023-03966-3

Table 3.

Regression model: socio-demographic variables and total score

Model	R	R ²	Adjusted R²	Standard Error of the Estimate	ANOVA
Model	R	R ²	Adjusted R²	Standard Error of the Estimate	F		Sig. F
1	0.260^a	0.068	0.065	8.664	30.783		< 0.001
2	0.317^b	0.101	0.097	8.519	23.751		< 0.001
3	0.347^c	0.120	0.114	8.435	19.303		< 0.001
4	0.361^d	0.130	0.122	8.398	15.798		< 0.001
5	0.372^e	0.138	0.128	8.369	13.512		< 0.001
Model 5	Unstandardised Coefficients		Standardised Coefficients		95% Confidence Interval for B
Model 5	B	Std. Error	*Beta*	t	p	Lower Bound	Upper Bound
(Constant)	74.106	3.927	-	18.872	< 0.001	66.387	81.825
Monthly personal income	2.906	0.557	0.243	5.220	< 0.001	1.811	4.000
Whether adverse drug events have occurred	-6.392	1.563	-0.188	-4.088	< 0.001	-9.465	-3.319
Taking medicine times a day	1.901	0.527	0.173	3.606	< 0.001	0.865	2.937
The number of chronic diseases	-2.010	0.889	-0.108	-2.262	0.024	-3.756	-0.263
Sex	-1.658	0.836	-0.091	-1.982	0.048	-3.302	-0.014

Note. R = coefficient of determination; F = Fisher-Snedecor test; β = Regression coefficient; t = Student’s t-test; a = Monthly personal income; b = Monthly personal income, whether adverse drug events have occurred; c = Monthly personal income, whether adverse drug events have occurred, taking medicine times a day; d = Monthly personal income, whether adverse drug events have occurred, taking medicine times a day, the number of chronic diseases; e = Monthly personal income, whether adverse drug events have occurred, taking medicine times a day, the number of chronic diseases, sex. Correlation is significant at the 0.05 level