Table 2.

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

	Model 1					Model 2
	β	se	p	CI (95%)		β	se	p	CI (95%)
Intercept	−11.924	13.278	0.369	−37.948	14.100	−12.191	13.355	0.361	−38.365	13.984
NEP	0.868	0.218	0.000	0.441	1.295	0.463	0.422	0.273	−0.365	1.291
PAm	0.507	0.552	0.359	−0.576	1.590	0.201	0.670	0.764	−1.112	1.514
PAv	1.567	0.599	0.009	0.392	2.741	1.099	0.707	0.120	−0.286	2.485
Gender M	−0.443	0.582	0.446	−1.584	0.697	−0.476	0.585	0.416	−1.623	0.671
Age	0.094	0.211	0.655	−0.319	0.508	0.434	0.536	0.418	−0.321	0.506
Weight	−0.076	0.097	0.436	−0.267	0.115	0.677	0.558	0.225	−0.271	0.112
Height	0.099	0.077	0.200	−0.052	0.250	0.093	0.211	0.661	−0.050	0.255
BMI	0.249	0.287	0.384	−0.312	0.811	−0.080	0.098	0.416	−0.302	0.827
PhA	−0.233	0.239	0.330	−0.702	0.236	0.103	0.078	0.186	−0.321	0.506
NEP:PAm						0.262	0.288	0.362	−0.616	1.485
NEP:PAv						−0.247	0.241	0.304	−0.416	1.770

Model 1: KIDMED vs. NEP, PA, Gender, Age, Weight, Height, BMI, PhA. Model 2: KIDMED vs. NEP, PA, Gender, Age, Weight, Height, BMI, PhA, NEP:PA (Interaction). 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.