| Literature DB >> 35435057 |
Patrícia Marques1,2, Mariana Geraldes1, Ana Gama1,2, Bruno Heleno2,3, Sónia Dias1,2.
Abstract
OBJECTIVES: Cervical cancer has a high mortality rate among women worldwide. Although cervical cancer screening (CCS) is an effective strategy in reducing mortality of the disease, inequalities in accessing screening exist, particularly among migrant women. This study aims to characterize migrant women's participation in CCS and determine factors associated with non-attendance to CCS.Entities:
Keywords: early detection of cancer; emigrants and immigrants; reproductive health; transients and migrants; uterine cervical neoplasms; women’s health
Mesh:
Year: 2022 PMID: 35435057 PMCID: PMC9019366 DOI: 10.1177/17455057221093034
Source DB: PubMed Journal: Womens Health (Lond) ISSN: 1745-5057
Characteristics of the study participants.
| TOTAL (n = 1100) | |||
|---|---|---|---|
| N | % | ||
| Sociodemographic variables | |||
| Age | ⩽34 years | 326 | 30.7 |
| 35–54 years | 534 | 50.2 | |
| ⩾55 years | 203 | 19.1 | |
| Continent of birth | Europe | 435 | 39.5 |
| Africa | 78 | 7.1 | |
| Asia | 65 | 5.9 | |
| North America or Oceania | 73 | 6.6 | |
| South or Central America | 449 | 40.9 | |
| University degree | Yes | 803 | 73.2 |
| No | 294 | 26.8 | |
| Employment status | Employed | 561 | 51.3 |
| Unemployed/retired/housewife | 532 | 48.7 | |
| Marital status | Married/living together | 756 | 68.9 |
| Single/divorced/widow | 341 | 31.1 | |
| Difficulties in paying rent/bills | Yes | 340 | 31.1 |
| No | 755 | 68.9 | |
| Difficulties in paying food | Yes | 171 | 15.6 |
| No | 924 | 84.4 | |
| Religion | Religious | 669 | 67.2 |
| Atheist/agnostic | 326 | 32.8 | |
| Having children | Yes | 624 | 56.9 |
| No | 473 | 43.1 | |
| Migration-related variables | |||
| Length of stay in Portugal | ⩽5 years | 766 | 69.6 |
| >5 years | 334 | 30.4 | |
| Portuguese nationality | Yes | 209 | 19.0 |
| No | 891 | 81.0 | |
| Current migrant situation | Documented | 959 | 87.7 |
| Undocumented | 134 | 12.3 | |
| Ability to understand Portuguese | Yes, without difficulty | 622 | 56.9 |
| Yes, with some difficulties | 352 | 32.2 | |
| Unable to understand Portuguese | 119 | 10.9 | |
| Health-related variables | |||
| Having family history of cervical disease | Yes | 223 | 20.3 |
| No | 876 | 79.7 | |
| Having had the HPV vaccine | Yes | 163 | 14.8 |
| No | 937 | 85.2 | |
| Having ever had a GP appointment in Portugal | Yes | 849 | 77.2 |
| No | 251 | 22.8 | |
| Last gynecology appointment | <5 years ago | 806 | 73.3 |
| ⩾5 years ago | 294 | 26.7 | |
| Having family doctor in Portugal | Yes | 593 | 54.0 |
| No | 505 | 46.0 | |
| Having ever felt discriminated in healthcare services | Yes | 369 | 33.8 |
| No | 724 | 66.2 | |
HPV: human papillomavirus; GP: general practitioner.
Figure 1.Distribution of reported CCS attendance among migrant women by continent of birth.
Logistic regression models of CCS non-attendance among migrant women and independent variables.
| Model 1 | Model 2 | ||||
|---|---|---|---|---|---|
| OR (CI 95%) | P | OR (CI 95%) | P | ||
| Sociodemographic variables | |||||
| Age | ⩽34 years | 1.368 (0.975–1.920) | 0.070 | 1.684 (1.058–2.568) | 0.027 |
| 35–54 years (reference) | 1 | 1 | |||
| ⩾55 years | 1.907 (1.302–2.795) | <0.001 | 1.023 (0.644–1.625) | 0.923 | |
| Continent of birth | Europe (Reference) | 1 | 1 | ||
| Africa | 1.754 (1.040–2.958) | 0.035 | 2.623 (1.393–4.939) | 0.003 | |
| Asia | 2.195 (1.259–3.829) | 0.006 | 2.286 (1.148–4.554) | 0.019 | |
| North America and Oceania | 0.472 (0.238–0.935) | 0.031 | 0.641 (0.287–1.434) | 0.279 | |
| South and Central America | 0.529 (0.373–0.749) | <0.001 | 0.624 (0.407–0.956) | 0.030 | |
| University degree | Yes (Reference) | 1 | - | ||
| No | 1.483 (1.073–2.050) | 0.017 | |||
| Employment status | Employed (Reference) | 1 | - | ||
| Unemployed/retired/housewife | 1,276 (0.930–1.751) | 0.131 | |||
| Marital status | Married/living together (Reference) | 1 | 1 | ||
| Single/divorced/widow | 1.872 (1.375–2.547) | <0.001 | 2.746 (1.869–4.034) | <0.001 | |
| Difficulties in paying rent/bills | Yes | 1.740 (1.255–2.412) | <0.001 | - | |
| No (Reference) | 1 | ||||
| Difficulties in paying food | Yes | 2.244 (1.531–3.289) | <0.001 | - | |
| No (Reference) | 1 | ||||
| Religion | Religious (Reference) | 1 | - | ||
| Atheist/Agnostic | 0.945 (0.66–1.354) | 0.759 | |||
| Having Children | Yes (Reference) | 1 | 1 | ||
| No | 0.763 (0.553–1.052) | 0.098 | 0.643 (0.434–0.952) | 0.028 | |
| Migration-related variables | |||||
| Length of stay in Portugal | ⩽5 years | 0.759 (0.553–1.042) | 0.088 | 0.632 (0.423–956) | 0.025 |
| >5 years (Reference) | 1 | 1 | |||
| Portuguese nationality | Yes (reference) | 1 | NA | ||
| No | 1.246 (0.822–1.888) | 0.300 | |||
| Current migrant situation | Documented (Reference) | 1 | - | ||
| Undocumented | 1.755 (1.132–2.722) | 0.012 | |||
| Ability to understand Portuguese | Yes, without difficulty (Reference) | 1 | - | ||
| Yes, with some difficulties | 0.990 (0.639–1.533) | 0.963 | |||
| Unable to understand Portuguese | 1.251 (0.725–2.160) | 0.421 | |||
| Health-related variables | |||||
| Family history of cervical disease | Yes | 0.844 (0.581–1.227) | 0.374 | - | |
| No (Reference) | 1 | ||||
| HPV vaccine | Yes | 0.519 (0.320–0.842) | 0.008 | 0.490 (0.278–0.864) | 0.014 |
| No (Reference) | 1 | 1 | |||
| Ever had a GP appointment in Portugal | Yes (reference) | 1 | 1 | ||
| No | 1.468 (1.046–2.060) | 0.026 | 1.557 (1.020–1.020) | 0.040 | |
| Last gynecology appointment | <5 years ago (Reference) | 1 | 1 | ||
| ⩾5 years ago | 10.423 (7.332–14.817) | <0.001 | 11.529 (7.903–16.820) | <0.001 | |
| Family doctor | Yes (Reference) | 1 | - | ||
| No | 1.492 (1.109–2.007) | 0.008 | |||
| Discrimination in healthcare services | Yes | 1.380 (1.011–1.885) | 0.043 | - | |
| No (Reference) | 1 | ||||
CCS: Cervical cancer screening; HPV: human papillomavirus; GP: general practitioner.
Model 1 shows the results of all study variables adjusted for age and continent of birth; Model 2 shows the statistically significant variables resulting from the logistic regression model (Method—backward selection: LR) that included variables of model 1 with p < 0.200.