|
Sociodemographic characteristics of the sample by residence status and gender n(%) |
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| Urban |
Rural |
Migrant |
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|
|
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| M |
F |
M |
F |
M |
F |
||
| N = 843 |
n = 1115 |
n = 749 |
n = 1160 |
n = 2198 |
n = 1050 |
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|
|
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| Age in years |
Mean (SD) |
36 (12.1) |
34 (8.8) |
39 (13.4) |
35 (11.9) |
29 (8.3) |
25 (6.8) |
|
|
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| Education |
Primary |
88 (11) |
93 (8.4) |
378 (50) |
915 (79) |
253 (11) |
126 (12) |
| Middle |
278 (33) |
425 (38) |
250 (33) |
187 (16) |
1259 (58) |
683 (65) |
|
| High |
309 (37) |
416 (37) |
106 (14) |
47 (4.1) |
616 (28) |
220 (21) |
|
| Tertiary |
168 (18) |
170 (15) |
15 (2) |
11 (0.9) |
66 (2.7) |
21 (2.0) |
|
|
|
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| Marital status |
Single |
172 (20) |
134 (12) |
85 (11) |
38 (3.3) |
934 (43) |
557 (53) |
| Married |
659 (78) |
946 (85) |
624 (83) |
1041 (89) |
1203 (55) |
484 (46) |
|
| Other |
12 (1.4) |
35 (2.9) |
40 (5.3) |
81 (7) |
61 (2.5) |
9 (0.9) |
|
|
|
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| Child/ren |
Yes |
617 (73) |
920 (83) |
642 (86) |
1101 (95) |
1105 (50) |
399 (38) |
|
|
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| Occupation |
Agriculture |
30 (3.5) |
35 (3.1) |
584 (78) |
731 (63) |
2 (0.2) |
0 |
| Factory** |
420 (49) |
460 (41) |
16 (2) |
58 (5) |
903 (39) |
617 (59) |
|
| Construction |
22 (2.6) |
5 (0.5) |
0 |
0 |
599 (29) |
2 (0.2) |
|
| Hotels/bars |
101 (12) |
280 (25) |
13 (2) |
70 (6) |
549 (20) |
229 (22) |
|
| Retail (shops) |
85 (10) |
113 (10) |
14 (2) |
0 |
131 (6) |
11 (1) |
|
| Transport |
0 |
0 |
7 (1) |
0 |
14 (1.2) |
3 (0.3) |
|
| Domestic service |
16 (2) |
2 (0.2) |
0 |
35 (3) |
0 |
29 (2.8) |
|
| Self-employed |
118 (14) |
111 (10) |
46 (6) |
81 (7) |
73 (3.3) |
65 (6.3) |
|
| Other |
51 (6) |
109 (9.9) |
67 (9) |
185 (16) |
35 (1.6) |
33 (3) |
|
|
|
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| Personal Income/Month in RMB* |
<700 |
46 (5.5) |
178 (16) |
471 (63) |
840 (72) |
329 (15) |
283 (27) |
| 701–1500 |
506 (60) |
710 (64) |
258 (34) |
304 (26) |
1626 (74) |
703 (67) |
|
| >1501 |
291 (35) |
227 (01) |
20 (2.7) |
16 (1.4) |
243 (11) |
64 (6.1) |
|
| Median (IQR) |
1100 (1200) |
900 (600) |
550 (500) |
480 (400) |
900 (250) |
800 (250) |
|
|
*US$1 = 8.2 Chinese Renminbi (RMB) ** Of the 34 factories involved 16 were textile, 6 foodstuff, 5 electrical, 4 steel, 3 chemical | |||||||
Hesketh et al. BMC Public Health 2007 7:29 doi:10.1186/1471-2458-7-29 |
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