Table 4.

Final multilevel linear regression model with fruit and vegetable intake score as a response variable

Variables
Fixed effect	Effect	SE	CI 95 %	p- value
Intercept	4.80	1.16	2.51 7.09	<0.001
Male gender (vs. female)	0.59	0.10	0.39 – 0.80	<0.001
Age	0.01	0.004	0.002 -0.02	<0.001
Active in LTPA	0.72	0.13	0.47 – 0.97	<0.001
Smoking (yes vs. no)	−0.29	0.12	−0.52 - -0.05	0.018
SSB intake (5 or more days per week)	−0.28	0.11	−0.47 - -0.09	0.004
Education level (y)
0-8 (reference)
9-11	0.68	0.11	0.46 – 0.90	<0.001
12 or more	0.90	0.16	0.57 – 1.21
Density1 of healthy food outlets3 in CA2	3.93	0.90	2.16 – 5.70	<0.001
Density1 of unhealthy food outlets4 in CA2	−0.88	0.23	−1.32 - -0.43	<0.001
Total income in CA2	0.31	0.07	0.17 – 0.46	<0.001
Random effect –level 2 σ2 u0				t-ratio*
Variance – Intercept	201.16	165.96	3.47 – 5.78	1.21
Slope variance – gender	1.56	0.24	1.14 – 2.11	6.50
Slope variance – age	0.003	0.001	0.002 – 0.004	3.00
Slope variance – leisure time physical activity	2.34	0.42	1.65 – 3.32	5.57
Slope variance – smoking	2.06	0.29	1.64 – 3.32	7.10
Slope variance – education level (years of study)	0.98	0.16	0.72 – 1.34	6.13
Random effect – level 1 σ2 e
Variances of R ij	3.28	0.12	3.06 – 3.52	27.33

SE – standard error

LR test p-value <0.001

95 % CI = 95 % Confidence Interval

* Wald test - critical value = 1.96

SSB: Sugar sweetened beverages

LTPA: Leisure time physical activity

¹Density = number of stores/Area in Km²

²CA: coverage areas by the basic health units

³Stores and open-air markets specialized in selling fruit and vegetables

⁴Bars, snack bars and food trucks/trailers