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. 2022 Aug 25;2022:1047524. doi: 10.1155/2022/1047524

Table 3.

The number of meals per day made by the Colombian population between 13 and 17 years of age according to sociodemographic characteristics. National Survey of Nutritional Situation in Colombia (ENSIN-2015).

Variable n Mean SE P value Adjusted difference (95% CI) P value
Overall 7110 4.4 0.0

Sex 0.114 0.142
 Males 3402 4.4 0.1
 Females 3708 4.3 0.1 −0.1 (−0.3, 0.0)

Height-for-age Z-score§ 0.713 0.509
 <−2 496 4.7 0.1 −0.1 (−0.3, 0.2)
 −2 to <−1 1369 4.9 0.1 0.0 (−0.1, 0.2)
 −1 to 1 2693 4.9 0.1
 >1 to 2 262 4.8 0.2 −0.1 (−0.5, 0.3)
 >2 69 4.6 0.2 −0.2 (−0.7, 0.2)

BMI-for-age Z-score§ 0.150 0.385
 <−2 81 4.3 0.2 −0.4 (−0.8, −0.1)
 −2 to <−1 457 4.9 0.1 0.1 (−0.1, 0.3)
 −1 to 1 3185 4.8 0.1
 >1 to 2 875 4.9 0.1 0.0 (−0.2, 0.2)
 >2 293 4.9 0.1 0.1 (−0.2, 0.4)

Education of head <0.0001 0.001
 <5 (primary or less) 2065 4.2 0.1 .0.1 (−0.3, 0.0)
 5 to <11 2402 4.3 0.1
 11 to <16 2252 4.5 0.1 0.1 (−0.1, 0.3)
 ≥16 (university) 355 4.9 0.1 0.1 (0.2, 0.8)

Wealth index, quintiles| 0.306 0.592
 Q1 3432 4.2 0.1 −0.1 (−0.5, 0.2)
 Q2 1920 4.5 0.1 0.2 (−0.1, 0.5)
 Q3 1145 4.5 0.1 0.1 (−0.2, 0.4)
 Q4 613 4.3 0.1

Food insecurity in the home <0.0001 <0.0001
 No 2388 4.5 0.1
 Mild 2585 4.4 0.1 −0.1 (−0.2, 0.1)
 Moderate 1282 4.3 0.1 −0.2 (−0.4, −0.0)
 Severe 855 3.8 0.1 −0.6 (−0.8, 0.4)

Urbanicity 0.344 0.780
 Big cities¶ 945 4.4 0.1
 100.001 a 1.000.000 population 1911 4.4 0.1 −0.0 (−0.2, 0.2)
 0 a 100000 population 2514 4.5 0.1 0.1 (−0.1, 0.3)
 Disperse population 1740 4.3 0.1 −0.1 (−0.3, 0.1)

Country region 0.857 0.290
 Central 1668 4.5 0.1
 Atlantic (north) 1383 4.1 0.1 −0.3 (−0.5, −0.2)
 Oriental 1176 4.7 0.1 0.1 (−0.0, 0.3)
 Pacific (west) 1272 4.4 0.1 −0.2 (−0.4, −0.0)
 Bogotá 400 4.4 0.1 −0.3 (−0.6, −0.0)
 Amazonia-Orinoquia 1211 4.3 0.1 −0.1 (−0.3, −0.1)

n The analyzed sample may be less than 7110 due to missing values. Based on FFQ. Test for linear trend for ordinal predictors. For sex, urbanicity, and country region, P is from ANOVA. All tests incorporated the complex sampling survey design. From linear regression models with the number of meals as continuous result and indicator variables in the table as predictors except for height-for-age and BMI-for-age. The estimates for education come from a model that excludes the wealth index and food security, which could be on the causal path. The wealth index estimates excluded food security. § According to the WHO [48]. | The wealth index is a composite measure of a household's cumulative living standard. The wealth index is calculated using easy-to-collect data on a household's ownership of selected assets such as televisions and bicycles, materials used for housing construction, type of water supply, and sanitation facilities. ¶ Bogotá, Barranquilla, Medellín, CAli.