| Literature DB >> 28957477 |
Maarit K Leinonen1, Suzanne Campbell1, Giske Ursin1,2,3, Ameli Tropé4, Mari Nygård1.
Abstract
Background: Immigrants from certain low- and middle-income countries are more prone to cancers attributed to viral infections in early life. Cervical cancer is caused by human papillomavirus but is highly preventable by regular screening. We assessed participation among immigrants in a population-based cervical screening programme and identified factors that predicted non-adherence within different immigrant groups.Entities:
Mesh:
Year: 2017 PMID: 28957477 PMCID: PMC5881680 DOI: 10.1093/eurpub/ckx093
Source DB: PubMed Journal: Eur J Public Health ISSN: 1101-1262 Impact factor: 3.367
Target population and non-adherence to the Norwegian Cervical Cancer Screening Program in 2008–12 by region of origin and major contributing countries
| Region of origin | Target population ( | Non-adherent women | ||
|---|---|---|---|---|
| % of total | % of targeted | |||
| Norway | 1 157 223 | 84.7 | 365 995 | 31.6 |
| Nordic countries | 23 243 | 1.7 | 9051 | 38.9 |
| Sweden | 12 022 | 0.9 | 4512 | 37.5 |
| Denmark | 5831 | 0.4 | 2156 | 37.0 |
| Finland | 2959 | 0.2 | 1201 | 40.6 |
| Eastern Europe | 60 219 | 4.4 | 36 990 | 61.4 |
| Poland | 19 206 | 1.4 | 13 372 | 69.6 |
| Russia | 7762 | 0.6 | 3618 | 46.6 |
| Lithuania | 7645 | 0.6 | 5968 | 78.1 |
| Bosnia-Herzegovina | 5050 | 0.4 | 2184 | 43.3 |
| Kosovo | 3192 | 0.2 | 1370 | 42.9 |
| Romania | 3012 | 0.2 | 1906 | 63.3 |
| Western Europe | 18 381 | 1.4 | 8857 | 48.2 |
| Germany | 7650 | 0.6 | 3801 | 49.7 |
| UK | 3254 | 0.2 | 1385 | 42.6 |
| The Netherlands | 2124 | 0.2 | 852 | 40.1 |
| America, Oceania | 12 845 | 1.0 | 5486 | 42.7 |
| USA | 2707 | 0.2 | 1153 | 42.6 |
| Chile | 2563 | 0.2 | 1060 | 41.4 |
| Brazil | 2142 | 0.2 | 873 | 40.8 |
| Western Asia, North Africa | 16 361 | 1.2 | 7381 | 45.1 |
| Iraq | 5932 | 0.4 | 2384 | 40.2 |
| Turkey | 4222 | 0.3 | 1868 | 44.2 |
| Morocco | 2165 | 0.2 | 1025 | 47.3 |
| Sub-Saharan Africa | 17 584 | 1.3 | 9399 | 53.5 |
| Somalia | 6414 | 0.5 | 3751 | 58.5 |
| Eritrea | 3344 | 0.2 | 1984 | 59.3 |
| South Central Asia | 26 719 | 2.0 | 13 486 | 50.5 |
| Pakistan | 8957 | 0.7 | 4812 | 53.7 |
| Iran | 5528 | 0.4 | 2297 | 41.6 |
| India | 3489 | 0.3 | 1859 | 53.3 |
| Sri Lanka | 3692 | 0.3 | 1857 | 50.3 |
| Afganistan | 2528 | 0.2 | 1239 | 49.0 |
| Eastern Asia | 33 274 | 2.4 | 18 316 | 55.1 |
| Philippines | 10 565 | 0.8 | 6508 | 61.6 |
| Thailand | 10 465 | 0.8 | 5761 | 55.1 |
| Vietnam | 6485 | 0.5 | 2912 | 44.9 |
| China | 3257 | 0.2 | 1763 | 54.1 |
Figure 1Screening adherence among native Norwegian (dashed line) and immigrant women (solid lines) to the Norwegian Cervical Cancer Screening Program between 2008 and 2012 by region of origin and age group at screening
Figure 2PR of non-adherence to the Norwegian Cervical Cancer Screening Program in 2008–12 with 95% CIs by region of origin, adjusted for age and parity
Predictors of non-adherence to the Norwegian Cervical Cancer Screening Program in 2008–12 among immigrants by region of origin
| Covariate (reference) | PR (95% CI) for non-adherence | |||||||
|---|---|---|---|---|---|---|---|---|
| Nordic countries | Eastern Europe | Western Europe | America, Oceania | Western Asia, North Africa | Sub-Saharan Africa | South Central Asia | Eastern Asia | |
| Length of stay (≥10 years) | ||||||||
| <10 years | 1.18 (1.11–1.25) | 1.15 (1.10–1.19) | 1.23 (1.15–1.32) | 1.11 (1.02–1.20) | 1.00 (0.95–1.06) | 0.93 (0.88–0.99) | 1.13 (1.07–1.18) | 1.09 (1.04–1.14) |
| Marital status (married) | ||||||||
| Unmarried | 1.30 (1.24–1.36) | 1.22 (1.20–1.24) | 1.37 (1.31–1.43) | 1.49 (1.40–1.58) | 1.54 (1.46–1.63) | 1.21 (1.16–1.26) | 1.42 (1.36–1.47) | 1.48 (1.44–1.52) |
| Divorced/widowed | 1.18 (1.12–1.25) | 1.02 (1.00–1.05) | 1.17 (1.11–1.24) | 1.12 (1.06–1.20) | 1.15 (1.09–1.20) | 1.11 (1.06–1.16) | 1.10 (1.06–1.14) | 1.10 (1.06–1.13) |
| Employment (white-collar job) | ||||||||
| Unemployed | 1.20 (1.13–1.27) | 1.18 (1.14–1.21) | 1.26 (1.19–1.34) | 1.21 (1.11–1.31) | 1.16 (1.07–1.26) | 1.24 (1.14–1.34) | 1.16 (1.10–1.22) | 1.12 (1.07–1.18) |
| Blue-collar job | 1.13 (1.08–1.18) | 1.17 (1.14–1.21) | 1.12 (1.07–1.17) | 1.04 (0.96–1.12) | 1.10 (1.01–1.19) | 1.05 (0.97–1.14) | 1.08 (1.03–1.14) | 1.07 (1.03–1.12) |
| Annual income (high) | ||||||||
| Low | 1.39 (1.30–1.48) | 1.32 (1.27–1.38) | 1.30 (1.22–1.39) | 1.32 (1.20–1.46) | 1.27 (1.15–1.42) | 1.23 (1.13–1.34) | 1.26 (1.18–1.34) | 1.19 (1.12–1.26) |
| Medium | 1.10 (1.04–1.15) | 1.07 (1.03–1.11) | 1.05 (1.00–1.11) | 0.99 (0.91–1.09) | 1.03 (0.93–1.14) | 1.04 (0.96–1.13) | 1.02 (0.97–1.09) | 1.02 (0.97–1.07) |
| Distance to GP (1–9.9 km) | ||||||||
| <1 km | 1.09 (1.05–1.14) | 1.05 (1.04–1.07) | 1.07 (1.03–1.11) | 1.06 (1.00–1.12) | 1.01 (0.97–1.05) | 1.02 (0.99–1.06) | 0.99 (0.96–1.03) | 1.01 (0.98–1.03) |
| >10km | 1.11 (1.06–1.17) | 1.08 (1.06–1.10) | 1.12 (1.07–1.17) | 1.12 (1.05–1.19) | 1.03 (0.98–1.09) | 1.10 (1.05–1.15) | 1.05 (1.01–1.08) | 1.09 (1.06–1.12) |
| GP’s gender (female) | ||||||||
| male | 1.21 (1.16–1.26) | 1.13 (1.11–1.15) | 1.14 (1.09–1.18) | 1.12 (1.06–1.18) | 1.14 (1.10–1.18) | 1.07 (1.03–1.11) | 1.11 (1.08–1.14) | 1.16 (1.14–1.19) |
| GP’s origin (Norway) | ||||||||
| Foreign, different from woman | 1.08 (1.04–1.13) | 1.02 (1.01–1.04) | 1.01 (0.96–1.07) | 1.01 (0.96–1.07) | 1.04 (1.01–1.09) | 1.06 (1.03–1.10) | 1.05 (1.02–1.08) | 1.01 (0.98–1.03) |
| Foreign, same as woman | 1.05 (0.99–1.12) | 0.96 (0.94–0.99) | 0.99 (0.88–1.12) | 1.00 (0.89–1.13) | 1.04 (0.98–1.12) | 1.06 (0.97–1.16) | 1.09 (1.05–1.13) | 0.99 (0.95–1.04) |
Adjusted for age at migration, age, parity, region of residence in Norway and GP’s age at screening in addition to all covariates in the table.