General characteristics of the subjects according to the meal frequency
Variable | 3MRD | 2MRD | 1MRD | P-value |
---|---|---|---|---|
Total (n=3,036) | 2,070 | 852 | 114 | |
Age (y) | <0.001 | |||
6–8 | 686 (33.1) | 153 (18.0) | 1 (0.9) | |
9–11 | 612 (29.6) | 163 (19.1) | 9 (7.9) | |
12–14 | 411 (19.9) | 225 (26.4) | 25 (21.9) | |
15–18 | 361 (17.4) | 311 (36.5) | 79 (69.3) | |
Average age | 11.51±0.12 | 13.59±0.16 | 15.99±0.22 | <0.001 |
Sex | <0.001 | |||
Male | 1,076 (52.0) | 448 (52.6) | 30 (26.3) | |
Female | 994 (48.0) | 404 (47.4) | 84 (73.7) | |
Income level | <0.001 | |||
Low | 138 (6.7) | 109 (12.8) | 17 (14.9) | |
Middle-low | 487 (23.6) | 261 (30.7) | 24 (21.1) | |
Middle-high | 718 (34.7) | 262 (30.8) | 43 (37.7) | |
High | 724 (35.0) | 219 (25.7) | 30 (26.3) | |
Place of residence | 0.673 | |||
Urban | 910 (44.0) | 367 (43.1) | 54 (47.4) | |
Rural |
1,160 (56.0) | 485 (56.9) | 60 (52.6) | |
Living stasis | <0.001 | |||
Two parents households | 1,830 (88.4) | 687 (80.9) | 93 (82.3) | |
Other households |
240 (11.6) | 162 (19.1) | 20 (17.7) | |
Dietary supplement | ||||
Yes | 993 (48.0) | 242 (28.4) | 19 (16.7) | <0.001 |
Subjective health level | <0.001 | |||
Good | 1,400 (72.1) | 476 (60.6) | 52 (50.5) | |
Well | 492 (25.3) | 265 (33.8) | 42 (40.8) | |
Bad | 49 (2.5) | 44 (5.6) | 9 (8.7) | |
Subjective body shape | <0.001 | |||
Thin | 663 (34.2) | 240 (30.6) | 28 (27.2) | |
Normal | 808 (41.6) | 307 (39.1) | 29 (28.2) | |
Obese | 470 (24.2) | 238 (30.3) | 46 (44.7) | |
Anthropometric | ||||
Height (cm) |
152.70±0.24 | 152.48±0.35 | 149.74±0.83 | 0.004 |
Weight (kg) |
47.66±0.32 | 47.96±0.51 | 46.71±1.39 | 0.666 |
BMI (kg/m2) |
19.69±0.10 | 19.81±0.17 | 19.82±0.43 | 0.798 |
WC (cm) |
66.55±0.26 | 66.68±0.42 | 66.44±1.12 | 0.963 |
Values are presented as number only, unweighted number (%) or estimated mean±standard error.
MRD, meals regular diet; BMI, body mass index; WC, waist circumference.
aArea except urban.
bSingle parent or single grandparent or two grandparents households.
cAdjusted with age and sex.
dP-values are obtained by cross-tabulation analysis (Pearson's chi-squared test) in complex sample designs.
eP-values are obtained by general linear model analysis in complex sample design.