Skip to main content

Table 1 Differences adjusted to the score of adherence to the Snack food consumption pattern (Z score). Colombian children (5 to 17 y) in 2010 and 2015

From: Adherence to a snacking dietary pattern is decreasing in Colombia among the youngest and the wealthiest: results of two representative national surveys

Variable20102015Adjusted differenceb
2015–2010
P
Interaction
naMeanSEP valuenaMeanSEP value
Sex   0.375   0.014 < 0.0001
 Male51540.660.02 67530.290.04 −0.40 (− 0.46, − 0.34) 
 Female49960.680.02 64900.350.04 − 0.34 (− 0.40, − 0.28) 
Age group (y)   < 0.0001   < 0.0001 < 0.0001
 Children (5–10)37940.530.02 46270.210.04 −0.36 (− 0.43, − 0.30) 
 Teenagers (11–17)63560.750.02 86160.410.04 −0.37 (− 0.44, − 0.31) 
Age (y)   < 0.0001   < 0.0001 < 0.0001
 5–824810.510.02 32740.210.05 −0.35 (− 0.42, − 0.28) 
 9–1119490.570.03 20900.250.04 − 0.36 (− 0.44, − 0.28) 
 12–1534800.780.02 50640.440.04 −0.38 (− 0.46, − 0.31) 
 16–1718800.740.03 28150.400.04 −0.36 (− 0.45, − 0.28) 
Stunting (Height/Age)   < 0.0001   < 0.0001 < 0.0001
 No88200.690.01 12,0100.340.04 −0.37 (− 0.42, − 030) 
 Yes (Z < -2)13240.510.04 12270.080.05 −0.42 (− 0.54, − 0.31) 
Nutritional status (BMI)c   0.068   0.728 < 0.0001
 No41900.790.02 11,0750.330.04 −0.40 (− 0.47, − 0.33) 
 Overweight (≥25)7360.740.05 16910.270.03 −0.43 (− 0.54, − 031) 
 Obesity (≥30)2010.650.08 4770.370.09 −0.31 (− 0.51, − 0.10) 
Household food insecurity   < 0.0001   0.186 < 0.0001
 No30040.820.02 41080.370.04 −0.46 (− 0.53, − 038) 
 Light37680.630.02 46860.300.04 −0.36 (− 0.43, − 0.30) 
 Moderate19730.560.03 25120.370.04 −0.31 (− 0.39, − 0.22) 
 Severe13930.520.04 19370.310.08 − 0.26 (−0.40, − 012) 
Wealth index quintile   < 0.0001   < 0.0001 < 0.0001
 1- poorest35950.330.02 2839−0.050.04 −0.33 (− 0.41, − 025) 
 224620.580.03 27940.250.05 −0.30 (− 0.39, − 0.20) 
 318150.820.03 27620.360.03 −0.38 (− 0.46, − 0.29) 
 413030.820.03 25250.450.04 −0.35 (− 0.43, − 0.26) 
 5- wealthiest9750.930.04 23230.440.05 −0.48 (− 0.59, − 0.37) 
Ethnicity   < 0.0001   0.170 0.003
 Mestizo77020.680.02 10,6200.320.04 −0.38 (− 0.43. -0.33) 
 Black/Afro11030.740.04 1393−0.140.06 −0.71 (− 0.82, − 0.59) 
 Indigenous12340.160.05 11250.550.06 0.20 (0.05, 0.35) 
Area   < 0.0001   < 0.0001 < 0.0001
 Urban65490.820.02 97230.440.04 −0.39 (− 0.45, − 032) 
 Rurald36010.280.02 3520−0.010.03 −0.30 (− 0.37, − 0.22) 
Region   0.499   0.287 < 0.0001
 Central23350.700.03 31890.400.11 −0.35 (− 0.52, − 0.19) 
 Atlantic22920.760.03 24100.360.05 −0.45 (− 0.54, − 0.36) 
 Oriental14810.570.03 22720.230.04 −0.42 (− 0.50, − 0.33) 
 Pacific14060.430.03 16590.270.11 −0.18 (− 0.34, − 0.02) 
 Bogotá5240.940.04 8770.37−0.00 − 0.58 (− 0.66, − 0.49) 
 National territories21120.380.03 28360.020.04 −0.42 (− 0.51, − 0.33) 
  1. aIn 2010 n may be less than 10,150 for missing values. In 2015 n may be less than 13,243 for missing values
  2. bAdjusted difference and 95% confidence interval achieved in a linear regression model with the score of adherence (Z score) to the snack pattern as a dependent variable and predictors that include indicator variables for each sociodemographic correlates, year 2015 (2010 as reference) and cross-product (interaction) terms between year and indicator variables of the correlate. In addition, the linear regression model was adjusted by the following covariables; sex, age, food security, wealth index, ethnicity, area and region. The complex sampling survey design was taken into account in all multivariate regression models
  3. cBased on equivalent cut-off points using the IOFT classification
  4. dThe rural category included suburban population centers close to small cities, towns in rural areas distant from small towns, and disperses or very distant from rural towns