Table 3.

Multiple linear regression

Independent variables	Multiple linear regression*
	Estimate	SE	95% CI	t	P-value†
Intercept	42.2245	0.9709	40.3217 to 44.1273	43.492	<0.001
3-factor eating questionnaire
Emotional eating	–0.0487	0.0171	–0.0823 to –0.0151	–2.841	0.005
Cognitive restraint	0.0673	0.0175	0.0331 to 0.1015	3.858	<0.001
Binge eating	–0.1286	0.0229	–0.1735 to –0.0836	–5.612	<0.001
Physical exercise	–4.1137	0.6934	–5.4727 to –2.7546	–5.933	<0.001
BMI (kg/m2)
Low vs normal weight	–1.5720	2.4711	–6.4152 to 3.2712	–0.636	0.525
Overweight vs normal weight	–1.9751	2.5514	–6.9757 to 3.0255	–0.774	0.439
Obese vs normal weight	–2.8915	2.6641	–8.1130 to 2.3300	–1.085	0.278
PSQI Score (>5 is the reference)	1.7031	0.6795	0.3713 to 3.0349	2.506	0.012
Chronotype
Matutine vs intermediate	–0.5153	1.5309	–3.5158 to 2.4852	–0.337	0.737
Moderate matutine vs intermediate	–1.9421	1.4580	–4.7996 to 0.9154	–1.332	0.183
Moderate vespertine vs intermediate	–3.3084	1.5938	–6.4323 to –0.1845	–2.076	0.038
Vespertine vs Intermediate	–4.7038	2.2261	–9.0668 to –0.3407	–2.113	0.035
Sex (men vs women)	–3.1564	0.8475	–4.8174 to –1.4954	–3.725	<0.001
Age	–0.0729	0.0330	-0.1375 to –0.0082	–2.210	0.027
Socioeconomic status
2–4 salaries vs ≤2 salaries	1.1622	0.9292	-0.6591-2.9834	1.251	0.212
4 – 10 Salaries vs ≤2 salaries	2.4732	0.9610	0.5896-4.3568	2.573	0.010
10 – 20 salaries vs ≤2 salaries	4.3246	1.1607	2.0496-6.5996	3.726	<0.001
> 20 salaries vs ≤2 salaries	2.3082	1.5785	-0.7856-5.4020	1.462	0.144
Educational level
University graduate vs up to high school	1.0975	1.3985	-1.6434-3.8385	0.785	0.433
Postgraduate vs up to high school	3.0499	1.7080	-0.2976-6.3974	1.786	0.075

BMI, body mass index; PSQI, Pittsburgh Sleep Quality Index.

^⁎Generalized linear model (GLM)/linear regression test was used.

^†P-values in bold ≤ 0.05.