An Intersectional Perspective on the Utilization of Cervical Cancer Screening among Migrants. A Cross-Sectional Analysis of Survey Data from Austria
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Data
2.2. Variables
2.3. Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Population Group | p-Value * | |||||||
---|---|---|---|---|---|---|---|---|
Non-Migrant Women | Migrant Women from a Yugoslavian Successor State | German Migrant Women | Turkish Migrant Women | Romanian Migrant Women | Hungarian Migrant Women | Other Migrant Women | ||
n | 5199 | 257 | 158 | 103 | 70 | 64 | 377 | |
Age (years) | <0.001 | |||||||
20–24 | 385 (7.4%) | 21 (8.2%) | 9 (5.7%) | 10 (9.7%) | 3 (4.3%) | 2 (3.1%) | 19 (5.0%) | |
25–29 | 450 (8.7%) | 34 (13.2%) | 14 (8.9%) | 8 (7.8%) | 5 (7.1%) | 5 (7.8%) | 42 (11.1%) | |
30–34 | 416 (8.0%) | 30 (11.7%) | 20 (12.7%) | 11 (10.7%) | 10 (14.3%) | 12 (18.8%) | 51 (13.5%) | |
35–39 | 444 (8.5%) | 23 (8.9%) | 19 (12.0%) | 13 (12.6%) | 16 (22.9%) | 11 (17.2%) | 49 (13.0%) | |
40–44 | 454 (8.7%) | 26 (10.1%) | 17 (10.8%) | 15 (14.6%) | 10 (14.3%) | 10 (15.6%) | 57 (15.1%) | |
45–49 | 539 (10.4%) | 30 (11.7%) | 18 (11.4%) | 14 (13.6%) | 8 (11.4%) | 10 (15.6%) | 46 (12.2%) | |
50–54 | 641 (12.3%) | 31 (12.1%) | 28 (17.7%) | 17 (16.5%) | 10 (14.3%) | 3 (4.7%) | 41 (10.9%) | |
55–59 | 694 (13.3%) | 27 (10.5%) | 18 (11.4%) | 5 (4.9%) | 2 (2.9%) | 5 (7.8%) | 30 (8.0%) | |
60–64 | 639 (12.3%) | 18 (7.0%) | 11 (7.0%) | 3 (2.9%) | 6 (8.6%) | 1 (1.6%) | 26 (6.9%) | |
65–69 | 537 (10.3%) | 17 (6.6%) | 4 (2.5%) | 7 (6.8%) | 0 (0.0%) | 5 (7.8%) | 16 (4.2%) | |
Partnership status | 0.26 | |||||||
Living together with a partner | 3502 (67.4%) | 177 (68.9%) | 115 (72.8%) | 78 (75.7%) | 52 (74.3%) | 42 (65.6%) | 264 (70.0%) | |
Not living together with a partner | 1697 (32.6%) | 80 (31.1%) | 43 (27.2%) | 25 (24.3%) | 18 (25.7%) | 22 (34.4%) | 113 (30.0%) | |
Educational level | <0.001 | |||||||
Primary/lower secondary | 786 (15.1%) | 75 (29.2%) | 6 (3.8%) | 74 (71.8%) | 14 (20.0%) | 5 (7.8%) | 61 (16.2%) | |
Upper secondary/post-secondary (non-tertiary) | 2879 (55.4%) | 131 (51.0%) | 93 (58.9%) | 24 (23.3%) | 36 (51.4%) | 30 (46.9%) | 142 (37.7%) | |
Tertiary education (bachelor, master, and doctoral) | 1534 (29.5%) | 51 (19.8%) | 59 (37.3%) | 5 (4.9%) | 20 (28.6%) | 29 (45.3%) | 174 (46.2%) | |
Net income of respondent’s household | <0.001 | |||||||
Below the 1st quintile | 951 (18.3%) | 66 (25.7%) | 34 (21.5%) | 23 (22.3%) | 14 (20.0%) | 14 (21.9%) | 100 (26.5%) | |
Between the 1st and 2nd quintiles | 966 (18.6%) | 46 (17.9%) | 20 (12.7%) | 28 (27.2%) | 12 (17.1%) | 13 (20.3%) | 74 (19.6%) | |
Between the 2nd and 3rd quintile | 1301 (25.0%) | 70 (27.2%) | 36 (22.8%) | 28 (27.2%) | 31 (44.3%) | 21 (32.8%) | 99 (26.3%) | |
Between the 3rd and 4th quintiles | 1105 (21.3%) | 56 (21.8%) | 35 (22.2%) | 19 (18.4%) | 8 (11.4%) | 13 (20.3%) | 67 (17.8%) | |
Between the 4th and 5th quintiles | 876 (16.8%) | 19 (7.4%) | 33 (20.9%) | 5 (4.9%) | 5 (7.1%) | 3 (4.7%) | 37 (9.8%) | |
Degree of urbanization | <0.001 | |||||||
High | 757 (14.6%) | 90 (35.0%) | 35 (22.2%) | 41 (39.8%) | 19 (27.1%) | 18 (28.1%) | 190 (50.4%) | |
Moderate | 1687 (32.4%) | 107 (41.6%) | 57 (36.1%) | 49 (47.6%) | 26 (37.1%) | 23 (35.9%) | 109 (28.9%) | |
Low | 2755 (53.0%) | 60 (23.3%) | 66 (41.8%) | 13 (12.6%) | 25 (35.7%) | 23 (35.9%) | 78 (20.7%) | |
Region (federal state) of residence | <0.001 | |||||||
Burgenland/Lower Austria | 1174 (22.6%) | 38 (14.8%) | 13 (8.2%) | 13 (12.6%) | 14 (20.0%) | 15 (23.4%) | 51 (13.5%) | |
Vienna | 454 (8.7%) | 59 (23.0%) | 17 (10.8%) | 26 (25.2%) | 12 (17.1%) | 18 (28.1%) | 145 (38.5%) | |
Carinthia | 314 (6.0%) | 12 (4.7%) | 10 (6.3%) | 1 (1.0%) | 5 (7.1%) | 5 (7.8%) | 14 (3.7%) | |
Styria | 970 (18.7%) | 31 (12.1%) | 17 (10.8%) | 4 (3.9%) | 18 (25.7%) | 9 (14.1%) | 33 (8.8%) | |
Upper Austria | 999 (19.2%) | 55 (21.4%) | 20 (12.7%) | 19 (18.4%) | 14 (20.0%) | 6 (9.4%) | 52 (13.8%) | |
Salzburg | 329 (6.3%) | 22 (8.6%) | 16 (10.1%) | 5 (4.9%) | 3 (4.3%) | 0 (0.0%) | 23 (6.1%) | |
Tyrol | 646 (12.4%) | 23 (8.9%) | 39 (24.7%) | 18 (17.5%) | 1 (1.4%) | 8 (12.5%) | 35 (9.3%) | |
Vorarlberg | 313 (6.0%) | 17 (6.6%) | 26 (16.5%) | 17 (16.5%) | 3 (4.3%) | 3 (4.7%) | 24 (6.4%) | |
Self-rated health (1—“very good” to 5—“very poor”) (mean, SD) | 1.8 (0.9) | 2.1 (1.0) | 1.8 (0.8) | 2.3 (1.0) | 2.1 (0.8) | 1.9 (0.9) | 1.9 (0.9) | <0.001 |
Presence of chronic disease | 0.065 | |||||||
Yes | 1861 (35.8%) | 103 (40.1%) | 47 (29.7%) | 45 (43.7%) | 20 (28.6%) | 17 (26.6%) | 128 (34.0%) | |
No | 3338 (64.2%) | 154 (59.9%) | 111 (70.3%) | 58 (56.3%) | 50 (71.4%) | 47 (73.4%) | 249 (66.0%) | |
Use of a pap smear test in the last 3 years before the survey | <0.001 | |||||||
No | 2099 (40.4%) | 107 (41.6%) | 62 (39.2%) | 56 (54.4%) | 34 (48.6%) | 29 (45.3%) | 197 (52.3%) | |
Yes | 3100 (59.6%) | 150 (58.4%) | 96 (60.8%) | 47 (45.6%) | 36 (51.4%) | 35 (54.7%) | 180 (47.7%) |
aOR | 95% CI | |
---|---|---|
Population group (Ref.: non-migrant women) | ||
Migrant women from a Yugoslav successor state | 0.95 | 0.73, 1.24 |
German migrant women | 0.88 | 0.63, 1.22 |
Turkish migrant women | 0.60 | 0.40, 0.91 |
Romanian migrant women | 0.71 | 0.44, 1.16 |
Hungarian migrant women | 0.73 | 0.44, 1.20 |
Other migrant women | 0.55 | 0.44, 0.69 |
Age | 0.91 | 0.89, 0.93 |
Partnership status (Ref.: living together with a partner) | ||
Not living together with a partner | 0.74 | 0.65, 0.84 |
Educational level (Ref.: primary/lower secondary) | ||
Upper secondary/post-secondary (non-tertiary) | 1.35 | 1.16, 1.58 |
Tertiary education (bachelor, master, doctoral) | 1.52 | 1.27, 1.82 |
Net income of the respondent’s household (Ref.: below the 1st quintile) | ||
2nd-income-quintile group | 1.01 | 0.86, 1.20 |
3rd-income-quintile group | 0.95 | 0.80, 1.13 |
4th-income-quintile group | 1.16 | 0.96, 1.39 |
5th-income-quintile group | 1.11 | 0.91, 1.36 |
Degree of urbanization (Ref.: high) | ||
Moderate | 0.97 | 0.77, 1.22 |
Low | 0.98 | 0.79, 1.23 |
Region (federal state) of residence (Ref.: Burgenland/Lower Austria) | ||
Vienna | 1.03 | 0.78, 1.37 |
Carinthia | 1.46 | 1.13, 1.87 |
Styria | 0.82 | 0.70, 0.97 |
Upper Austria | 1.00 | 0.85, 1.18 |
Salzburg | 0.88 | 0.69, 1.11 |
Tyrol | 1.38 | 1.14, 1.67 |
Vorarlberg | 1.11 | 0.88, 1.42 |
Self-rated health (1—“very good” to 5—“very poor”) (mean, SD) | 0.93 | 0.86, 1.00 |
Presence of chronic disease (Ref.: Yes) | ||
No | 0.80 | 0.70, 0.91 |
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Brzoska, P.; Wahidie, D.; Yilmaz-Aslan, Y. An Intersectional Perspective on the Utilization of Cervical Cancer Screening among Migrants. A Cross-Sectional Analysis of Survey Data from Austria. Cancers 2021, 13, 6082. https://doi.org/10.3390/cancers13236082
Brzoska P, Wahidie D, Yilmaz-Aslan Y. An Intersectional Perspective on the Utilization of Cervical Cancer Screening among Migrants. A Cross-Sectional Analysis of Survey Data from Austria. Cancers. 2021; 13(23):6082. https://doi.org/10.3390/cancers13236082
Chicago/Turabian StyleBrzoska, Patrick, Diana Wahidie, and Yüce Yilmaz-Aslan. 2021. "An Intersectional Perspective on the Utilization of Cervical Cancer Screening among Migrants. A Cross-Sectional Analysis of Survey Data from Austria" Cancers 13, no. 23: 6082. https://doi.org/10.3390/cancers13236082
APA StyleBrzoska, P., Wahidie, D., & Yilmaz-Aslan, Y. (2021). An Intersectional Perspective on the Utilization of Cervical Cancer Screening among Migrants. A Cross-Sectional Analysis of Survey Data from Austria. Cancers, 13(23), 6082. https://doi.org/10.3390/cancers13236082