Introduction

Materials and Methods
1. Study design and sampling
2. Measurements
3. Data analysis

Results
1. Demographic characteristics of all respondents
Table 1
Variable | Survey year | p-valuea) | Pooled data | |
---|---|---|---|---|
2011 (n=9,155) | 2014 (n=2,862) | |||
Age (yr) | ||||
Mean±SD | 36.62±6.40 | 37.10±7.01 | 36.73±6.55 | |
21–30 | 1,348 (14.7) | 449 (15.7) | < 0.001 | 1,797 (15.0) |
31–40 | 5,689 (62.1) | 1,632 (57.0) | 7,321 (60.9) | |
41–60 | 2,118 (23.1) | 781 (27.3) | 2,899 (24.1) | |
Ethnicity | ||||
Han | 8,768 (95.8) | 2,632 (92.0) | < 0.001 | 11,400 (94.9) |
Other | 357 (3.9) | 196 (6.8) | 553 (4.6) | |
Unknown | 30 (0.3) | 34 (1.2) | 64 (0.5) | |
Marital status | ||||
Single/Divorced/Widowed | 712 (7.8) | 393 (13.7) | < 0.001 | 1,105 (9.2) |
Married | 8,402 (91.8) | 2,458 (85.9) | 10,860 (90.4) | |
Unknown | 41 (0.4) | 11 (0.4) | 52 (0.4) | |
Education level | ||||
≤ 9 Schooling years | 4,985 (54.5) | 1,462 (51.1) | 0.001 | 6,447 (53.6) |
10–12 Schooling years | 2,534 (27.7) | 813 (28.4) | 3,347 (27.9) | |
≥ 13 Schooling years | 1,577 (17.2) | 568 (19.8) | 2,145 (17.8) | |
Unknown | 59 (0.6) | 19 (0.7) | 78 (0.6) | |
Employment | ||||
Unemployed | 1,944 (21.2) | 576 (20.1) | 0.26 | 2,520 (21.0) |
Employed | 7,006 (76.5) | 2,205 (77.0) | 9,211 (76.6) | |
Unknown | 205 (2.2) | 81 (2.8) | 286 (2.4) | |
Monthly income (RMB) | ||||
< 3,000 (low) | 3,377 (36.9) | 317 (11.1) | < 0.001 | 3,694 (30.7) |
3,000–4,999 (relatively low) | 2,549 (27.8) | 696 (24.3) | 3,245 (27.0) | |
5,000–9,999 (middle) | 1,642 (17.9) | 919 (32.1) | 2,561 (21.3) | |
≥ 10,000 (high) | 535 (5.8) | 334 (11.7) | 869 (7.2) | |
Unknown | 1,052 (11.5) | 596 (20.8) | 1,648 (13.7) | |
Medical insurance | ||||
No | 4,094 (44.7) | 1,265 (44.2) | 0.61 | 5,359 (44.6) |
Yes | 5,005 (54.7) | 1,581 (55.2) | 6,586 (54.8) | |
Unknown | 56 (0.6) | 16 (0.6) | 72 (0.6) |
2. Cervical cancer screening participation and willingness among female migrants
Table 2
Variable | Survey year | p-valuea) | Pooled data | |
---|---|---|---|---|
2011 | 2014 | |||
Screening participation | ||||
No | 6,791 (74.2) | 1,858 (64.9) | < 0.001 | 8,649 (72.0) |
Yes | 2,364 (25.8) | 1,004 (35.1) | 3,368 (28.0) | |
Screening method for the latest screeningb) | ||||
Cytology | 1,205 (51.0) | 452 (45.0) | < 0.001 | 1,657 (49.2) |
HPV testing | 857 (36.3) | 475 (47.3) | 1,332 (39.5) | |
Other methods | 302 (12.8) | 77 (7.7) | 379 (11.3) | |
Ever been diagnosed as cervical diseases in the latest screeningb) | ||||
No | 2,034 (86.0) | 865 (86.2) | 0.069 | 2,899 (86.1) |
CIN1 | 140 (5.9) | 39 (3.9) | 179 (5.3) | |
CIN2+ | 82 (3.5) | 36 (3.6) | 118 (3.5) | |
Unknown | 108 (4.6) | 64 (6.4) | 172 (5.1) | |
The time of the latest screeningb) | ||||
Within 3 yr | 2,144 (90.7) | 918 (91.4) | 0.098 | 3,062 (90.9) |
Over 3 yr | 178 (7.5) | 59 (5.9) | 237 (7.0) | |
Unknown | 42 (1.8) | 27 (2.7) | 69 (2.0) | |
Willingness to screen | ||||
No/On the fence | 1,629 (17.8) | 492 (17.2) | 0.46 | 2,121 (17.6) |
Yes | 7,526 (82.2) | 2,370 (82.8) | 9,896 (82.4) | |
Prioritized screening methods in the futurec) | ||||
Cytology | 2,326 (30.9) | 567 (23.9) | 0.079 | 2,893 (29.2) |
HPV testing | 1,099 (14.6) | 286 (12.1) | 1,385 (14.0) | |
Co-testing | 3,944 (52.4) | 878 (37.0) | 4,822 (48.7) | |
Unknown | 157 (2.1) | 639 (27.0) | 796 (8.0) | |
The main reason for unwillingness to participate in screeningd) | ||||
Thought it to be expensive or unaffordable | 712 (43.7) | 202 (41.1) | 0.032 | 914 (43.1) |
Thought it to be unnecessary | 315 (19.3) | 92 (18.7) | 407 (19.2) | |
Without enough spare time | 325 (20.0) | 117 (23.8) | 442 (20.8) | |
Worried about diagnosis of incident cervical diseases | 101 (6.2) | 17 (3.5) | 118 (5.6) | |
Distrusted medical professionals | 29 (1.8) | 6 (1.2) | 35 (1.7) | |
Other reasons | 147 (9.0) | 58 (11.8) | 205 (9.7) | |
Self-paying willingness to screen | ||||
No/On the fence | 3,647 (39.8) | 1,021 (35.7) | < 0.001 | 4,668 (38.8) |
Yes | 5,508 (60.2) | 1,841 (64.3) | 7,349 (61.2) | |
Affordable price for self-paying screening (RMB)e) | ||||
≤ 100 | 2,612 (47.4) | 672 (36.5) | < 0.001 | 3,284 (44.7) |
101–300 | 2,200 (39.9) | 830 (45.1) | 3,030 (41.2) | |
301–500 | 562 (10.2) | 248 (13.5) | 810 (11.0) | |
≥ 500 | 110 (2.0) | 72 (3.9) | 182 (2.5) | |
Unknown | 24 (0.4) | 19 (1.0) | 43 (0.6) |
Values are presented as number (%). CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus.
a) Chi-square tests were applied to detect distributed differences, in which the category of “unknown” was not calculated in analysis,
c) Only who were willing to participate in cervical cancer screening without consideration of its cost answered this question,
3. Associated demographic factors of screening participation and willingness
Table 3
4. Changed impacts of demographic factors on screening participation and willingness over time
Table 4
Table 5

Discussion
