Table 5.

Multiple regression analysis models (stepwise method) with PSQI as the dependent variable was used to estimate the predictive value of the BMI, single PREDIMED items (use of extra virgin olive oil as main cooking lipid, extra virgin olive oil > 4 tablespoons, vegetables ≥ 2 servings/day, fruits ≥ 3 servings/day, red/processed meats < 1/day, butter, cream, margarine < 1/day, soda drinks < 1/day, glasses of wine ≥ 7/week, fish/seafood ≥ 3/week, commercial sweets and confectionery ≤ 2/week, tree nuts ≥ 3/week, poultry more than red meats) and PREDIMED score.

Parameters	Multiple Regression Analysis
Model 1	R2	β	t	p Value
PREDIMED score	0.27	−0.52	−7.9	<0.001
BMI (kg/m2)	0.42	0.39	6.4	<0.001
Variable excluded: use of extra virgin olive oil as main cooking lipid, extra virgin olive oil > 4 tablespoons, vegetables ≥ 2 servings/day, fruits ≥ 3 servings/day, red/processed meats < 1/day, butter, cream, margarine < 1/day, soda drinks < 1/day, glasses of wine ≥ 7/week, commercial sweets and confectionery ≤ 2/week, tree nuts ≥ 3/week.

A p value in bold type denotes a significant difference (p < 0.05).