Skip to main content
. 2023 Jul 24;7(9):101977. doi: 10.1016/j.cdnut.2023.101977

TABLE 2.

Clinical characteristics by breakfast eating habits

Breakfast skippers
Everyday breakfast consumers
Women (n = 71) Men (n = 37) Women (n = 107) Men (n = 39)
Age (y) 35 ± 12 40 ± 12∗ 36 ± 12 43 ± 12∗∗
BMI (kg/m2) 22.7 ± 5.3 25.3 ± 5.0∗ 22.6 ± 4.6 24.5 ± 4.1∗
Screen time (h) 7.0 ± 3.3 8.9 ± 3.4∗∗ 6.3 ± 3.6 6.3 ± 3.5††
Steps per day 5857 ± 2840 (n = 63) 7286 ± 3255∗∗ (n = 32) 5575 ± 3517 (n = 91) 7573 ± 4061∗∗ (n = 34)
Alcohol drink (%) 24% 34% 15% 26%
Sleep duration (min) 429 ± 87 390 ± 75 420 ± 77 415 ± 70
Breakfast time (h) 8.7 ± 1.1 8.5 ± 1.4 7.9 ± 1.2†† 7.8±1.0
Lunch time (h) 13.0 ± 0.9 13.0 ± 0.9 12.7 ± 1.0 12.9 ± 1.0
Dinner time (h) 20.1 ± 1.4 20.2 ± 1.1 19.4 ± 1.3†† 20.1 ± 1.0∗∗
%Breakfast eating (%) 56% 63%
Snacks per day 0.65 ± 0.64 0.46 ± 0.52 0.65 ± 0.73 0.25 ± 0.38∗∗
Fasting duration (min) 816 ± 133 786 ± 136 742 ± 118†† 682 ± 77††∗∗
Fasting duration before sleep (min) 251 ± 78 261 ± 83 244 ± 83 208 ± 76††
Fasting duration after wake-up (min) 136 ± 94 136 ± 103 79 ± 70†† 60 ± 34††

P < 0.05, ∗∗P < 0.01 vs. women using 1-factor ANOVA (age and BMI), and linear regression analyses adjusted for age and BMI in the models.

P < 0.05.

††P < 0.01 vs. breakfast skippers using 1-factor ANOVA (age and BMI), and linear regression analyses adjusted for age and BMI.

Breakfast time, lunch time, and dinner time were expressed as hours since midnight.