| Literature DB >> 24466323 |
Claire Rondet1, Annabelle Lapostolle2, Marion Soler2, Francesca Grillo2, Isabelle Parizot3, Pierre Chauvin2.
Abstract
OBJECTIVES: This study aims to compare breast cancer screening (BCS) and cervical cancer screening (CCS) practices of French women born to French parents with those of immigrants and nationals born to immigrants, taking their socioeconomic status into account.Entities:
Mesh:
Year: 2014 PMID: 24466323 PMCID: PMC3899363 DOI: 10.1371/journal.pone.0087046
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Standardized prevalence of delayed and no lifetime screening according to the women’s immigration status.
Association between immigration status and delayed and no lifetime cervical cancer screening in women aged 25–44 years in the Paris metropolitan area, 2010: adjusted for age, then further estimated by taking the women’s socioeconomic status into account.
| Never-screeners | Overdue screeners | |||||||||||||
| Total n | % |
| OR [95% CI] |
| OR [95% CI] |
| Total n | % |
| OR [95% CI] |
| OR [95% CI] |
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| 25–44 | 695 | 10.2 | <0.001 | Ref. | <0.001 | Ref. | <0.001 | 695 | 16.3 | 0.398 | Ref. | 0.746 | Ref. | 0.622 |
| 45–64 | 679 | 5.0 | 0.59 [0.38–0.90] | 0.48 [0.30–0.78] | 652 | 14.6 | 1.06 [0.75–1.48] | 0.90 [0.60–1.36] | ||||||
| ≥65 | 350 | 13.4 | 2.05 [1.34–3.15] | 1.23 [0.62–2.45] | – | – | – | – | ||||||
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| Woman ofFrench origin | 1168 | 5.7 | <0.001 | Ref. | <0.001 | Ref. | <0.001 | 863 | 11.1 | <0.001 | Ref. | <0.001 | Ref. | 0.003 |
| French woman ofimmigrant origin | 318 | 11.8 | 2.24 [1.53–3.27] | 1.83 [1.29–2.60] | 288 | 18.1 | 1.76 [1.27–2.44] | 1.24 [0.90–1.71] | ||||||
| Foreignimmigrant | 218 | 21.1 | 4.47 [2.86–6.97] | 3.07 [1.92–4.90] | 196 | 30.6 | 3.52 [2.40–5.17] | 2.13 [1.38–3.29] | ||||||
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| Tertiary | 801 | 4.2 | <0.001 | Ref. | <0.001 | 675 | 9.5 | <0.001 | Ref. | 0.001 | ||||
| Secondary | 756 | 10.2 | 1.78 [1.21–2.83] | 582 | 19.1 | 1.47 [1.05–2.05] | ||||||||
| None orprimary | 167 | 24.6 | 3.77 [2.19–6.49] | 90 | 36.7 | 2.50 [1.35–4.60] | ||||||||
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| ≤1115.83 € | 487 | 16.8 | <0.001 | Ref. | 0.036 | 402 | 26.9 | <0.001 | Ref. | 0.002 | ||||
| >1115.83 €but ≤1733.33 | 463 | 7.6 | 0.61 [0.39–0.95] | 369 | 14.9 | 0.66 [0.46–0.95] | ||||||||
| >1733.33 €but ≤2605 € | 412 | 4.9 | 0.50 [0.30–0.83] | 312 | 9.0 | 0.44 [0.26–0.74] | ||||||||
| >2605 € | 362 | 4.1 | 0.51 [0.25–1.06] | 264 | 6.4 | 0.32 [0.14–0.71] | ||||||||
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| Working | 918 | 5.8 | <0.001 | Ref. | 0.407 | 894 | 12.3 | <0.001 | Ref. | 0.108 | ||||
| Unemployed | 97 | 9.3 | 0.86 [0.36–2.05] | 97 | 18.6 | 0.95 [0.46–1.96] | ||||||||
| At home | 189 | 16.4 | 1.41 [0.78–2.52] | 173 | 24.3 | 1.16 [0.73–1.86] | ||||||||
| Apprentice, studentor retired | 508 | 11.6 | 1.38 [0.72–2.66] | 171 | 21.8 | 1.67 [1.09–2.66] | ||||||||
The number for each dependent variable category for which the prevalence of overdue and never-screeners is given.
Figure 2Structural equation model.
Mediating model of the association between immigration status and delayed or no lifetime screening.
Results of the structural equation models.
| Cervical cancer screening | Breast cancer screening | |||||||
| No lifetime | p | Delayed | p | No lifetime | p | Delayed | p | |
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| Indirect effect | 0.021 | <0.001 | 0.044 | <0.001 | 0.008 | 0.04 | 0.012 | 0.14 |
| Direct effect | 0.045 | 0.01 | 0.029 | 0.25 | 0.005 | 0.85 | 0.044 | 0.35 |
| Total effect | 0.066 | <0.001 | 0.072 | 0.003 | 0.012 | 0.60 | 0.056 | 0.05 |
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| Indirect effect | 0.027 | <0.001 | 0.052 | <0.001 | 0.014 | 0.03 | 0.020 | 0.13 |
| Direct effect | 0.135 | <0.001 | 0.147 | 0.03 | 0.060 | 0.07 | 0.104 | 0.09 |
| Total effect | 0.162 | <0.001 | 0.199 | <0.001 | 0.080 | 0.02 | 0.124 | 0.06 |
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| RMSEA | 0.06 | 0.08 | 0.02 | 0.04 | ||||
| CFI | 0.953 | 0.963 | 0.994 | 0.980 | ||||
Measure of the mediating effect of monthly household income on the association between immigration status and delayed and no lifetime screening.
Root mean square error of approximation.
Comparative fit index.
Association between immigration status and delayed and no lifetime breast cancer screening in women aged 50 and over in the Paris metropolitan area, 2010: adjusted for age, then further estimate by taking the women’s socioeconomic status into account.
| Never-screeners | Overdue screeners | |||||||||||||
| Total n | % |
| OR [95% CI] |
| OR [95% CI] |
| Total n | % |
| OR [95% CI] |
| OR [95% CI] |
| |
|
| ||||||||||||||
| 50–59 | 306 | 4.3 | <0.001 | Ref. | <0.001 | Ref. | <0.001 | 306 | 18.7 | 0.362 | Ref. | 0.206 | Ref. | 0.566 |
| 60–74 | 308 | 3.3 | 0.83 [0.31–2.25] | 0.50 [0.21–1.20] | 308 | 21.6 | 1.28 [0.88–1.82] | 1.17 [0.69–1.99] | ||||||
| ≥75 | 169 | 16.6 | 5.04 [2.45–10.37] | 2.56 [1.13–5.81] | – | – | – | |||||||
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| Woman ofFrench origin | 604 | 5.8 | 0.164 | Ref. | 0.125 | Ref. | 0.379 | 472 | 18.4 | 0.098 | Ref. | 0.171 | Ref. | 0.444 |
| French woman ofimmigrant origin | 121 | 7.4 | 1.31 [0.63–2.69] | 1.05 [0.47–2.35] | 91 | 23.9 | 1.39 [0.74–2.60] | 1.24 [0.63–2.46] | ||||||
| Foreignimmigrant | 58 | 12.1 | 2.23 [1.02–4.87] | 1.76 [0.79–3.92] | 51 | 30.0 | 1.90 [0.97–3.72] | 1.56 [0.79–3.11] | ||||||
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| Tertiary | 117 | 3.8 | 0.003 | Ref. | 0.417 | 213 | 20.5 | 0.1932 | Ref. | 0.219 | ||||
| Secondary | 347 | 6.9 | 1.33 [0.57–3.06] | 210 | 17.7 | 0.72 [0.49–1.05] | ||||||||
| None orprimary | 319 | 12.8 | 1.82 [0.72–4.61] | 60 | 26.8 | 0.98 [0.51–1.86] | ||||||||
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| ≤1115.83 € | 184 | 12.0 | 0.008 | Ref. | 0.323 | 145 | 28.2 | 0.046 | Ref. | 0.168 | ||||
| >1115.83 € but≤1733.33 € | 190 | 4.7 | 0.49 [0.20–1.19] | 155 | 16.3 | 0.57 [0.31–1.04] | ||||||||
| >1733.33 € but≤2605 € | 202 | 4.5 | 0.45 [0.17–1.20] | 154 | 19.7 | 0.71 [0.41–1.24] | ||||||||
| >2605 € | 207 | 5.3 | 0.63 [0.25–1.61] | 160 | 17.1 | 0.53 [0.29–0.98] | ||||||||
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| Working | 274 | 2.2 | 0.004 | Ref. | 0.344 | 272 | 16.5 | 0.190 | Ref. | 0.819 | ||||
| Unemployed | 24 | 8.3 | 2.27 [0.23–22.95] | 24 | 27.3 | 1.33 [0.52–3.39] | ||||||||
| At home | 54 | 7.4 | 2.32 [0.51–10.52] | 49 | 27.1 | 1.31 [0.59–2.91] | ||||||||
| Apprentice, studentor retired | 426 | 9.2 | 2.78 [0.90–8.58] | 264 | 21.7 | 1.20 [0.70–2.06] | ||||||||
The number for each dependent variable category for which the prevalence of overdue and never screeners is given.