Table 3.

The effects of sociodemographic variables, pandemic, university profile, year of study, insomnia, and daytime sleepiness on the subjective AQoL in a complex backward stepwise linear regression model.

Variable			MANSA
		B	β	SE	t	p	NG
During the pandemic		−0.406	−0.035	0.078	−5.18	<0.001	0.110
University profile	Medical	1.124	0.081	0.091	12.30	<0.001
HDI	Very high	2.001	0.058	0.656	3.04	0.002
	High	0.105	0.002	0.490	0.21	0.829
	Medium	−1.795	−0.040	0.486	−3.70	<0.001
GDP per capita	High	−0.874	−0.031	0.565	−1.54	0.122
	Upper-middle	0.767	0.017	0.443	1.73	0.083
	Lower-middle	−0.091	−0.002	0.453	−0.20	0.840
Year of study	VI	0.711	0.033	0.263	2.69	0.007
	V	0.386	0.021	0.182	2.12	0.033
	IV	0.126	0.007	0.176	0.72	0.474
	III	−0.273	−0.016	0.165	−1.65	0.097
	II	−0.121	−0.007	0.167	−0.72	0.469
Alcohol	Yes	0.563	0.038	0.107	5.24	<0.001
Cannabinoids	Yes	−0.260	−0.015	0.116	−2.25	0.024
Psychostimulants	Yes	−0.629	−0.021	0.210	−2.298	0.002
Sedatives	Yes	−2.357	−0.137	0.114	−20.54	<0.001
AIS	Insomnia	−3.142	−0.271	0.079	−39.41	<0.001
ESS	Daytime sleepiness	−1.331	−0.103	0.086	−15.56	<0.001

HDI—human development index; AIS—Athens insomnia scale; ESS—Epworth sleepiness scale; NG—Nagelkerke pseudo-R²; B—coefficient value of a given variable; SE—standard error; t—test value, p—statistical significance; statistically significant values are in bold with the significance level set at p < 0.05.