Table 5.

Mixed-effect linear regression model for the association between ferritin, ESR, CRP, and NEP, PA, and a set of anthropometric parameters, considering T0 and T1 as a unique longitudinal dataset.

	Model 1					Model 2					Model 3
	β	se	p	CI (95%)		β	se	p	CI (95%)		β	se	p	CI (95%)
Intercept	−248.402	100.597	0.014	−445.5	−51.23	48.384	76.752	0.528	−102.04	198.81	15.745	10.597	0.137	−5.02	36.51
NEP	−14.763	1.516	0.000	−17.73	−11.79	2.161	1.421	0.128	−0.62	4.94	−0.714	0.308	0.020	−1.31	−0.11
PAm	−4.019	4.658	0.388	−13.14	5.11	0.447	2.783	0.873	−5.00	5.90	0.222	0.426	0.601	−0.61	1.05
PAv	−5.708	5.000	0.254	−15.50	4.09	−4.286	2.983	0.151	−10.13	1.56	0.115	0.453	0.800	−0.77	1.00
Gender M	1.176	4.854	0.809	−8.33	10.69	−9.791	2.864	0.001	−15.40	−4.17	−0.184	0.474	0.698	−1.11	0.74
Age	−1.189	1.786	0.506	−4.68	2.31	−0.386	1.071	0.719	−2.48	1.71	0.003	0.161	0.986	−0.31	0.31
Weight	−1.356	0.718	0.059	−2.76	0.05	0.224	0.593	0.706	−0.93	1.38	0.148	0.079	0.060	−0.00	0.30
Height	1.441	0.585	0.014	0.29	2.58	−0.116	0.456	0.799	−1.01	0.77	−0.094	0.062	0.127	−0.21	0.02
BMI	5.216	2.120	0.014	1.06	9.37	−0.123	1.707	0.943	−3.46	3.22	−0.287	0.233	0.217	−0.74	0.16
PhA	4.680	1.692	0.006	1.36	7.99	−1.663	1.354	0.219	−4.31	0.99	−0.163	0.218	0.454	−0.58	0.26

Model 1: Ferritin vs. NEP, PA, Gender, Age, Weight, Height, BMI, PhA. Model 2: ESR vs. NEP, PA, Gender, Age, Weight, Height, BMI, PhA. Model 3: CRP vs. NEP, PA, Gender, Age, Weight, Height, BMI, PhA. PAm, moderate physical activity; PAv, vigorous physical activity. CI, confidence interval; The regression coefficient (β), the standard error (se), and the statistical significance (p) are reported. The p-value was adjusted with the Holm–Šidák method (extension of Holm–Bonferroni method). In boldface are reported statistically significant values.