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. 2020 Nov 29;12(12):3668. doi: 10.3390/nu12123668

Table 7.

Multivariate analysis for selected anthropometric and lifestyle variables while controlling for age and socio-demographic factors stratified by gender and breakfast intake frequency. Data are means and standard deviations.

Variable Gender Breakfast Intakes p-Value *
<5 Days/Week
(N = 685)
5 + Days/Week
(N = 464)
Body weight (kg) Boys 33.5 ± 11.8 30.9 ± 9.6 Breakfast intake: 0.004
Gender: 0.287
Girls 33.8 ± 11.7 32.4 ± 11.3 Breakfast intake by gender interaction: 0.127
All 33.7 ± 11.8 31.7 ± 10.5
BMI (kg/m2) Boys 18.2 ± 4.2 17.3 ± 3.6 Breakfast intake: 0.009
Girls 18.4 ± 3.9 18.0 ± 3.9 Gender: 0.054
All 18.3 ± 4.0 17.7 ± 3.8 Breakfast intake by gender interaction: 0.213
Screen time (h/night) Boys 3.55 ± 1.8 3.04 ± 1.5 Breakfast intake: 0.081
Gender: =<0.001=
Girls 2.78 ± 1.5 2.81 ± 1.8 Breakfast intake by gender interaction: 0.005
All 3.13 ± 1.7 2.91 ± 1.7 Breakfast intake: <0.001
Sleep duration (h/night) Boys 8.18 ± 1.2 8.51 ± 1.1 Gender: 0.025
Girls 8.30 ± 1.3 8.63 ± 1.0 Breakfast intake by gender interaction: 0.886
All 8.25 ± 1.2 8.57 ± 1.1
Physical activity (min/week) Boys 196.0 ± 232.5 213.3 ± 225.5 Breakfast intake: 0.526
Girls 95.2 ± 158.4 92.4 ± 157.8 Gender: <0.001
All 141.2 ± 202.0 148.2 ± 201.1 Breakfast intake by gender interaction: 0.268

* Wilks’ Lambda p values: age <0.001; father age = 0.030; mother age = 0.048; father education = 0.002; mother education = 0.135; family income = 0.100; breakfast intake <0.001; gender <0.001 and breakfast intake by gender interaction = 0.056.