Table 5.

Univariate and Multivariate Logistic Regression for the Association Between Students’ Sociodemographic Characteristics and Sleep Hygiene with Sleep Quality

Variable	Univariate Analysisa				Multivariate Analysisb
	B	S.E.	OR	P*	B	S.E.	OR	P**
College***	R2=1.1%				R2=7.5%
College				0.031				0.357
Business and Economics	0.133	0.163	1.142	0.416	0.101	0.178	0.781	0.571
Education	−0.521	0.189	0.594	0.006	−0.370	0.207	0.691	0.075
Engineering	0.010	0.169	1.010	0.953	−0.031	0.187	0.969	0.869
Health sciences	−0.137	0.289	0.872	0.635	−0.156	0.308	0.855	0.613
Law	0.347	0.240	1.415	0.148	0.213	0.254	1.237	0.403
Medicine	−0.186	0.420	0.831	0.658	−0.482	0.435	0.617	0.268
Pharmacy	−0.444	0.399	0.642	0.267	−0.550	0.416	0.577	0.185
Sharia and Islamic studies	−0.311	0.236	0.733	0.188	−0.177	0.258	0.837	0.492
Gender	R2= 0.2%				0.244	0.177	1.276	0.167
Female	0.270	0.156	1.31	0.083
Age	R2= 0.1%
More than 23 years old	−0.125	0.119	0.882	0.292
Marital status	R2= 0.3%				−0.198	0.146	0.821	0.176
Married	−0.304	0.131	0.738	0.020
Nationality	R2 < 0.001%
Non-Qatari	−0.061	0.115	0.941	0.595
Sleep Hygiene	R2 = 6.7%				1.298	0.137	3.661	<0.001
SHI scores > 16	1.342	0.134	3.825	<0.001

Notes: ^aSimple analysis was conducted using binary logistic regression to assess the effects of each variable on sleep quality. ^bMultiple logistic regression conducted to assesses the effect of each variable when other variables are kept constant. *Significant if P value <0.2, **Significant if P value< 0.05, ***College of Arts and sciences used as the reference. Bold numbers highlight statistically significant p values.