Factors Associated with Cervical Cancer Screening among Married Female Immigrants with Korean Husbands in South Korea
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Population
2.2. Definition of Variables
2.3. Statistical Analysis
2.4. Ethics Statement
3. Results
3.1. General Characteristics of Subjects
3.2. Logistic Regression Analysis of Factors Affecting Cervical Cancer Screening Behavior
3.3. Association Between Participation in Cervical Cancer Screening and Related Factors Stratified by Eligibility for Participation in General Health Screening
4. Discussion
5. Conclusions
Supplementary Materials
Author contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Variables | Cervical Cancer Participation | p-Value a | ||
---|---|---|---|---|
Yes (n = 7837) | No (n = 8098) | Total (n = 15935) | ||
Age (years) b | 43.5 (9.5) | 39.8 (9.0) | 41.6 (9.5) | <0.0001 |
≤39 | 3001 (38.3%) | 4840 (61.7%) | 7841 (49.2%) | <0.0001 |
40–49 | 2605 (56.8%) | 1978 (43.2%) | 4583 (28.8%) | |
≥50 | 2231 (66.4%) | 1280 (36.5%) | 3511 (22.0%) | |
Duration of stay (months) | 77.4 (41.0) | 81.8 (43.4) | 79.6 (42.3) | <0.0001 |
<5 years | 2876 (52.4%) | 2610 (47.6%) | 5486 (34.4%) | <0.0001 |
5–9 years | 3934 (47.7%) | 4305 (52.3%) | 8239 (51.7%) | |
10–14 years | 866 (48.4%) | 925 (51.6%) | 1791 (11.2%) | |
≥15 years | 161 (38.4%) | 258 (61.6%) | 419 (2.6%) | |
Nationality | ||||
China | 5314 (58.6%) | 3753 (41.4%) | 9067 (56.9%) | <0.0001 |
Otherc | 2523 (36.7%) | 4345 (63.3%) | 6868 (43.1%) | |
Residence | ||||
Capital city | 1902 (53.8%) | 1636 (46.2%) | 3538 (22.2%) | <0.0001 |
Urban city | 1526 (51.9%) | 1412 (48.1%) | 2938 (18.4%) | |
Rural city | 4409 (46.6%) | 5050 (53.4%) | 9459 (59.4%) | |
Economic status d | ||||
Q1 (lowest) | 2067 (50.4%) | 2033 (49.6%) | 4100 (25.7%) | <0.0001 |
Q2 | 2974 (50.4%) | 2930 (49.6%) | 5904 (37.1%) | |
Q3 | 1992 (48.8%) | 2086 (51.2%) | 4078 (25.6%) | |
Q4 (highest) | 804 (43.4%) | 1049 (56.6%) | 1853 (11.6%) | |
Occupation | ||||
No | 5342 (46.5%) | 6154 (53.5%) | 11496 (72.1%) | <0.0001 |
Yes | 2495 (56.2%) | 1944 (43.8%) | 4439 (27.9%) | |
General health screening | ||||
Participated | 4675 (82.6%) | 987 (17.4%) | 5662 (20.5%) | <0.0001 |
Not participated | 442 (13.6%) | 2819 (86.4%) | 3261 (35.5%) | |
Not eligible subject | 2720 (38.8%) | 4292 (61.2%) | 7012 (44.0%) | |
Comorbidity e | ||||
No | 4455 (44.3%) | 5601 (55.7%) | 10056 (63.1%) | <0.0001 |
Yes | 3382 (57.5%) | 2497 (42.5%) | 5879 (36.9%) |
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) |
Variables | General Health Screening | |
---|---|---|
Participated OR (95% CI) a | Not Participated + Not Eligible OR (95% CI) a | |
Age (years) b | ||
≤39 | 1 (ref) | 1 (ref) |
40–49 | 3.37 (2.73–4.16) | 1.30 (1.00–1.68) |
≥50 | 3.56 (2.81–4.51) | 0.92 (0.62–1.37) |
Duration of stay (years) | ||
<5 | 1.09 (0.71–1.63) | 2.47 (1.56–4.11) |
5–9 | 1.09 (0.72–1.62) | 1.76 (1.12–2.93) |
10–14 | 1.12 (0.72–1.72) | 1.50 (0.93–2.54) |
≥15 | 1 (ref) | 1 (ref) |
Nationality | ||
China | 1.88 (1.57–2.24) | 1.73 (1.57–1.90) |
Other c | 1 (ref) | 1 (ref) |
Residence | ||
Capital city | 1 (ref) | 1 (ref) |
Urban city | 0.94 (0.74–1.20) | 1.29 (1.12–1.48) |
Rural city | 0.70 (0.58–0.84) | 0.99 (0.88–1.11) |
Economic status d | ||
Q1 (lowest) | 1 (ref) | 1 (ref) |
Q2 | 1.13 (0.96–1.34) | 1.23 (1.09–1.39) |
Q3 | 1.25 (1.01–1.55) | 1.38 (1.21–1.57) |
Q4 (highest) | 1.19 (0.88–1.64) | 1.24 (1.06–1.45) |
Occupation | ||
No | 1 (ref) | 1 (ref) |
Yes | 1.84 (1.67–2.04) | 0.69 (0.58–0.81) |
Comorbidity e | ||
No | 1 (ref) | 1 (ref) |
Yes | 1.36(1.24–1.50) | 1.06 (0.91–1.23) |
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Chang, H.K.; Seo, S.-S.; Myong, J.-P.; Koo, J.-W.; Jeong, J. Factors Associated with Cervical Cancer Screening among Married Female Immigrants with Korean Husbands in South Korea. Int. J. Environ. Res. Public Health 2018, 15, 2528. https://doi.org/10.3390/ijerph15112528
Chang HK, Seo S-S, Myong J-P, Koo J-W, Jeong J. Factors Associated with Cervical Cancer Screening among Married Female Immigrants with Korean Husbands in South Korea. International Journal of Environmental Research and Public Health. 2018; 15(11):2528. https://doi.org/10.3390/ijerph15112528
Chicago/Turabian StyleChang, Ha Kyun, Sang-Soo Seo, Jun-Pyo Myong, Jung-Wan Koo, and Jinhee Jeong. 2018. "Factors Associated with Cervical Cancer Screening among Married Female Immigrants with Korean Husbands in South Korea" International Journal of Environmental Research and Public Health 15, no. 11: 2528. https://doi.org/10.3390/ijerph15112528
APA StyleChang, H. K., Seo, S. -S., Myong, J. -P., Koo, J. -W., & Jeong, J. (2018). Factors Associated with Cervical Cancer Screening among Married Female Immigrants with Korean Husbands in South Korea. International Journal of Environmental Research and Public Health, 15(11), 2528. https://doi.org/10.3390/ijerph15112528