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. 2018 Mar 7;10(3):320. doi: 10.3390/nu10030320

Table 1.

Sociodemographic characteristics and daily dietary vitamin C intake in adults.

Parameters N (%) Vitamin C Intake (mg/Day) p-Value
Mean ± SD Median (Interquartile Range)
Total subjects 11,357 (100) 78.1 ± 54.6 65.4 (61.4)
Age group (years) 0.069
18–49 6290 (55.4) 76.9 ± 53.1 64.7 (60.6)
50–65 5067 (44.6) 79.5 ± 56.4 66.3 (62.2)
Gender 0.001
male 4944 (43.5) 79.4 ± 53.7 67.6 (64.1)
female 6413 (56.5) 77.1 ± 55.3 63.9 (59.3)
Education level 0.003
primary school and below a 3070 (27.0) 75.5 ± 52.6 63.9 (58.1)
middle school b,c 3998 (35.2) 80.4 ± 56.2 67.1 (66.1)
high school and above a,c 4289 (37.8) 77.8 ± 54.8 65.3 (59.9)
Annual household income level (thousand yuan/per capital) 1 0.463
low 0.9 ± 0.7 77.6 ± 54.8 64.7 (63.4)
moderate 6.1 ± 2.4 78.4 ± 54.0 66.1 (60.7)
high 27.6 ± 19.1 78.3 ± 55.1 65.3 (59.8)
Residence area <0.001
city a 2276 (20.0) 81.2 ± 61.7 65.8 (65.4)
suburban b 1865 (16.4) 87.9 ± 57.5 75.2 (69.8)
town or county capital city c 1979 (17.4) 72.7 ± 49.3 60.5 (57.7)
rural village a,c 5237 (46.1) 75.3 ± 51.6 64.2 (57.6)
Geographic location <0.001
north 4283 (37.7) 73.8 ± 51.7 62.2 (56.7)
south 7074 (62.3) 80.7 ± 56.2 67.5 (64.6)
Smoking status 0.015
never smoker 8482 (74.7) 77.6 ± 55.1 64.6 (60.0)
former smoker 225 (2.0) 81.9 ± 53.4 68.7 (62.1)
current smoker 2650 (23.3) 79.5 ± 53.1 68.1 (66.2)
Alcohol intake <0.001
no 8130 (71.6) 77.3 ± 55.2 64.2 (60.3)
yes 3227 (28.4) 80.1 ± 53.1 68.8 (64.5)
Fruit consumption (times/day) 1 0.073
low 0.2 ± 0.1 78.3 ± 52.7 66.0 (61.9)
moderate 0.5 ± 0.1 76.9 ± 54.7 64.5 (60.4)
high 1.2 ± 0.4 79.1 ± 56.4 66.2 (61.6)
Vegetable consumption (times/day) 1 <0.001
low a 1.2 ± 04 71.4 ± 50.2 60.5 (55.9)
moderate b 2.3 ± 0.3 77.9 ± 53.6 65.4 (59.7)
high c 4.3 ± 1.3 85.0 ± 58.8 71.6 (68.6)
Body mass index (kg/m2) 0.084
<18.5 469 (4.1) 76.2 ± 52.8 65.9 (58.2)
18.5–24 5388 (47.4) 76.8 ± 52.7 64.6 (61.6)
24–28 3938 (34.7) 79.1 ± 57.0 65.3 (62.1)
≥28 1562 (13.8) 80.8 ± 55.3 68.3 (59.5)

1 Data are expressed as mean ± SD (standard deviation); Wilcoxon rank-sum test or Kruskal-Wallis analysis was performed to test the difference of the distribution of dietary vitamin C by sociodemographic factors; subgroups with different superscript letters were significantly different by multiple comparison of SNK (Student-Newman-Keuls method).