Table 2.

The association between cervical cancer screening participation and related factors.

Variables	Simple Logistic Regression OR (95% CI)	Multiple Logistic Regression a OR (95% CI)
Age (years) b
≤39	1 (ref)	1 (ref)
40–49	2.12 (1.97–2.29)	2.05 (1.77–2.36)
≥50	2.81 (2.59–3.05)	2.13 (1.82–2.51)
Duration of stay (years)
<5	1.77 (1.44–2.17)	1.50 (1.14–1.99)
5–9	1.46 (1.20–1.79)	1.19 (0.90–1.56)
10–14	1.50 (1.21–1.87)	1.11 (0.83–1.48)
≥15	1 (ref)	1 (ref)
Nationality
China	2.44 (2.29–2.60)	1.83 (1.69–1.99)
Other c	1 (ref)	1 (ref)
Residence
Capital city	1 (ref)	1 (ref)
Urban city	0.93 (0.84–1.03)	1.14 (1.01–1.29)
Rural city	0.75 (0.70–0.81)	0.86 (0.78–0.94)
Economic status d
Q1 (lowest)	1 (ref)	1 (ref)
Q2	1.00 (0.92–1.08)	1.12 (1.01–1.24)
Q3	0.94 (0.86–1.02)	1.25 (1.12–1.40)
Q4 (highest)	0.75 (0.68–0.84)	1.11 (0.97–1.28)
Occupation
No	1 (ref)	1 (ref)
Yes	1.48 (1.38–1.59)	1.20 (1.10–1.31)
General health screening
Participated	30.2 (26.8–34.1)	29.4 (25.9–33.3)
Not participated	1 (ref)	1 (ref)
Not eligible subject	7.47 (6.88–8.13)	8.19 (6.97–9.62)
Comorbidity e
No	1 (ref)	1 (ref)
Yes	1.70 (1.60–1.82)	1.23 (1.18–1.38)

OR: odds ratio, CI: confidence interval. ^a Adjusted for age, duration of stay, nationality, residence, economic status, occupation, general health examination and comorbidity were performed for multiple logistic regression. ^b Age at eligible subjects for cervical cancer screening. ^c Vietnam, Philippines, Japan, Mongolia and Thailand are included in “other.” ^d Q1 (lowest): 1–5th income class; Q2: 6–10th income class; Q3: 11–15th income class; Q4 (highest): 16–20th income class derived from NHIS equation with subject’s asset profiles. ^e Charlson Comorbidity Index weigh 1 (Dementia, Connective tissue disease, Ulcer disease, Myocardial infarction, Congestive heart failure, Chronic pulmonary disease, Peripheral vascular disease, Cerebrovascular disease, Diabetes mellitus, Mild liver disease).