Table 6.

Multiple Regression analysis models (stepwise method) with the PhA as dependent variables to estimate the predictive value of PREDIMED score, BMI and age in male (model 1) and female participants (model 2).

Step	Variable Inserted	p Value	β	t	R 2	95% CI
Model 1 Males
1	PREDIMED score	<0.001	0.667	19.18	0.445	0.160–0.197
2	PREDIMED score BMI	<0.001	0.476	11.75	0.445	0.106–0.149
		<0.001	−0.324	−7.99	0.514	−0.041–−0.025
3	PREDIMED score BMI Age	<0.001	0.486	12.03	0.444	0.109–0.151
		<0.001	−0.315	−7.79	0.511	−0.040–−0.024
		0.009	−0.086	−2.63	0.521	−0.011–−0.002
Model 2 Females
1	PREDIMED score	<0.001	0.688	22.21	0.473	0.145–0.173
2	PREDIMED score BMI	<0.001	0.545	13.08	0.473	0.107–0.145
		<0.001	−0.208	−5.00	0.496	−0.025–−0.011
3	PREDIMED score BMI Age	<0.001	0.533	12.09	0.473	0.105–0.142
		<0.001	−0.211	−5.12	0.496	−0.025–−0.011
		<0.001	−0.109	0.508	0.508	−0.010–−0.003

In both model 1 (male participants) and 2 (female participants), PREDIMED score entered at the first step and appeared to be the factor exerting the most powerful influence on PhA, while BMI entered at the second step, followed by age. p value in bold type denotes a significant difference (p < 0.05). BMI, Body Mass Index; PhA, Phase Angle; CI, Confidence Interval.