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. 2016 Apr 6;19(13):2347–2356. doi: 10.1017/S1368980016000732

Table 1.

Selection probabilities for observing food intake in school, according to some demographic characteristics, BMI and access to Internet at home, among schoolchildren (n 629), aged 7–11 years, attending 2nd to 5th grades of five elementary public schools in Florianopolis, Brazil, March–October 2012

Morning snack Lunch Afternoon snack Weighted mean
Characteristic N * % N * % N * % %
School grade
2nd and 3rd 137 27.74 152 36.18 64 10.94 28.33
4th and 5th 125 8.80 217 11.52 63 31.75 13.83
Sex
Boys 129 17.83 165 58.93 63 17.46 21.85
Girls 133 19.55 204 36.36 64 25.00 19.45
BMI quintile (WHO Z-score)
1 (<−1.70) 45 24.54 80 13.75 21 23.81 18.49
2 (−1.71, −0.70) 58 12.07 59 32.20 29 13.79 20.55
3 (−0.71, 0.25) 50 14.00 63 22.22 32 12.50 17.24
4 (0.26, 1.54) 49 18.70 74 20.05 23 18.11 19.26
5 (>1.54) 49 20.41 80 22.50 16 25.00 22.07
Missing 11 45.45 13 23.08 6 50.00 36.67
Family income (quintiles)
1 17 17.65 35 22.86 11 36.35 23.81
2 99 22.22 143 11.19 57 19.30 16.39
3 53 13.21 73 23.29 11 27.27 19.71
4 29 24.14 20 25.00 9 11.11 22.41
5 9 0.00 18 22.22 1 100.00 17.86
Missing 55 18.18 80 37.50 38 18.42 27.17
Highest parental education level
Elementary 73 17.81 113 19.47 34 26.47 20.00
High school 97 25.78 134 18.66 31 9.68 20.23
College 37 2.70 44 9.09 22 27.27 10.68
Missing 55 18.18 78 37.18 40 22.50 27.75
Child’s access to Internet at home
No 71 19.72 95 17.89 54 27.78 20.91
Yes 152 17.10 232 18.53 55 14.55 17.54
Missing 39 14.89 42 11.38 18 14.17 18.06
*

Number of children observed for a given school meal.

Probability of observing a child with a given characteristic (percentage).

Hypothesis of equal percentages rejected by χ2 test (P<0.05).