| Literature DB >> 30424504 |
Ha Kyun Chang1, Sang-Soo Seo2, Jun-Pyo Myong3, Jung-Wan Koo4, Jinhee Jeong5.
Abstract
Background. The purpose of this study was to identify factors associated with the national cervical cancer screening behaviors of married female immigrants living in South Korea. Methods. The present study dataset was collected by the National Health Insurance Services in 2014⁻2015. A final study population of 15,935 was considered eligible for inclusion in this study if they met the criteria for participation in the national cervical cancer screening program in 2014⁻2015. Results. Of the 15,935 subjects, 7837 (49%) participated in cervical cancer screening. Based on the results of the logistic regression analysis of the association between cervical cancer screening behaviors and related factors, the odds ratio (OR) for participation in cervical cancer screening among individuals older than 50 years was the highest (OR: 2.13; 95% confidence interval (CI): 1.82⁻2.51), and the OR increased as their duration of stay in South Korea decreased. The OR of Chinese women for cervical cancer screening participation was higher than that of non-Chinese women (OR: 1.83; 95% CI: 1.69⁻1.99). The OR value was 29.4 (95% CI: 25.9⁻33.3) among those who participated in the general health screening compared with those who did not participate. Conclusions. To improve awareness about cervical cancer screening and reduce disparities in access to healthcare, appropriate programs should be developed to promote cervical cancer screening participation to socially vulnerable classes. Continuous social attention is needed to address these issues and encourage participation in general health screening to improve the rate of cervical cancer screening.Entities:
Keywords: cervical cancer; healthcare disparities; immigrants; screening
Mesh:
Year: 2018 PMID: 30424504 PMCID: PMC6266390 DOI: 10.3390/ijerph15112528
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Descriptive statistics by cervical cancer screening participation among married immigrant females with South Korean husband 2014–2015.
| Variables | Cervical Cancer Participation | |||
|---|---|---|---|---|
| Yes ( | No ( | Total ( | ||
| 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%) | |
a The t-test and chi-squared were used to assess the significance of subjects’ differences in continuous and categorical variables, respectively. 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).
The association between cervical cancer screening participation and related factors.
| Variables | Simple Logistic Regression | Multiple Logistic Regression a
|
|---|---|---|
| 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).
The association between cervical cancer screening participation and related factors stratified by general health screening.
| Variables | General Health Screening | |
|---|---|---|
| Participated | Not Participated + Not Eligible | |
| 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) |
OR: odds ratio, CI: confidence interval. a Adjusted for age, duration of stay, nationality, residence, economic status, occupation 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).