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. 2018 Mar 23;73(6):1232–1243. doi: 10.1111/all.13388

Table 1.

Characteristics of the study subjects

Variable Total (n = 6043) Non‐PiAR (n = 4928) PiAR (n = 1115) P value
Age (y),median (interquartile range) 27.6 (19.1) 26.1 (38.6) 29.3(27.2) .006
Gender, n (%)
Male 2900 2331 (80.4) 569 (19.6) .024
Female 3143 2597 (82.6) 546 (17.4)
Age group (y), n (%)
0‐6 1028 960 (93.4) 68 (6.6) <.001
7‐12 945 794 (84.0) 151 (16.0)
13‐17 448 324 (72.3) 124 (27.7)
18‐39 1512 1054 (69.7) 458 (30.3)
40‐59 1553 1287 (82.9) 266 (17.1)
≥60 535 489 (91.4) 46 (8.6)
Race, n (%)
Han 3288 2699 (82.1) 589 (17.9) .151
Mongolian 2486 2002 (80.5) 484 (19.5)
Other 269 227 (84.4) 42 (15.6)
Residence, n (%)
Urban 2961 2278 (76.9) 683 (23.1) <.001
Rural 3079 2647 (86.0) 432 (14.0)
Annual family income (CNY, median (interquartile range)b 5 (5) 5 (4) 5 (7) <.001
Study areaa, n (%)
Erenhot 1008 766 (76.0) 242 (24.0) <.001
Xilinhot 842 578 (68.6) 264 (31.4)
Duolun 1028 893 (86.9) 135 (13.1)
Jarud 1143 900 (78.7) 243 (21.3)
Kailu 1000 876 (87.6) 124 (12.4)
Tongliao 1022 915 (89.5) 107 (10.5)
Total 6043 4928 (81.5) 1115 (18.5)

Chi‐square test and t test were performed in this table.

a

Comparison between six study areas.

b

The value is in Chinese Yuan (CNY).