| Literature DB >> 30908565 |
J C Ruiz-Maza1, R A Soto-Azpilcueta1, J Sanchez-Salvatierra1, Y Torres-Prado1.
Abstract
OBJECTIVE: To determine the prevalence and factors associated with the screening of cervical cancer by Papanicolaou in the penitentiary population of Peru.Entities:
Mesh:
Year: 2018 PMID: 30908565 PMCID: PMC6463325
Source DB: PubMed Journal: Rev Esp Sanid Penit ISSN: 1575-0620
Socio-demographic predisposing factors; facilitators-inhibitors and generators of need for health services
| Factor | Measure and categories |
|---|---|
| Marital status | Categories: single, married, partner, widowed, divorced, separated. |
| Education | According to the following question: “Prior to imprisonment, what was the last complete academic year that you passed?”. |
| Ordinal variables: none-primary school (complete or incomplete), high-school (complete or incomplete) and higher education (non-university or university, complete or not and postgraduate). | |
| Ethnical considerations | Multiple choice question: “According to your ancestors and your habits do you consider yourself?”, Alternatives: quechua, aymara, native, part of another people, bblack/afroperuvain, white, mestizo, other, no reply. |
| Therefore we created a nominal variable including the following categories: mestizo, quechua, no reply and other (including the rest). | |
| Age | Categories: 18-29; 30-39; 40-49; 50 or older. |
| Number of children | Categories: none, 1 to 2, 3 to 4, 5 or more. |
| Type of health insurance | Multiple choice question: “type of health insurance?”, Alternatives: none, ESSALUD, private health insurance, healthcare privider, FFA/FFPP insurance, comprehensive health insurance, university insurance, other. |
| Therefore we created a nominal variable including the following categories: none (lack of health insurance), public health insurance (comprehensive health insurance and ESSALUD) and private health insurance (the rest). | |
| Pursues consultation in prison healthcare services | Yes/No from the following question: “Have you accessed the prison’s healtcare services?”. |
| Prison sporting activities | Yes/No from the following question: “¿Have you engaged sporting activities within the prison?”. |
| Type of prison | Mixed or female-only. |
| Previous sexually- transmitted disease (STD) | Yes/No from the following questions: “¿Do you suffer from any sexually transmitted disease (STD)?” and “¿Were you diagnosed by a healthcare professional?”. |
| HIV/AIDS | Yes/No from the following questions: “Are you HIV-positive or have AIDS?” “¿Were you diagnosed by a healthcare professional?” |
| Cancer‡ | Yes/No from the following questions “Do you have cancer?” and “¿Were you diagnosed by a healthcare professional?. |
| Alcohol and smoking | Yes/No from the following questions: “Prior to entering prison did you drink alcohol?” and “Prior to entering prison did you smoke?”. |
Note. *Factors enabling access to cervical cancer cytological screening.
†Risk factors for cervical cancer.
‡Unspecified type of cancer.
Figure 1Women selected for the study on cervical cancer cytological screening in he imprieoned population in Peru, 2016.
Cervical cancer cytological screening in the imprisoned population of Peru according to predisposing socio-demographic factors, facilitators and generators of need for health services 2016.
| Factors/Variables | Registered women | Women with cytological screening of cervical cancer (Papanicolaou) | |||
|---|---|---|---|---|---|
| nº | nº | % | 95%IC | p | |
| Predisposing sociodemographic factors | |||||
| Marital status | |||||
| Single | 2.295 | 1.522 | 66,32 | 64,36-68,22 | <0,001 |
| Partner | 1.038 | 737 | 71,00 | 68,16-73,68 | |
| Married | 525 | 382 | 72,76 | 68,79-76,40 | |
| Widowed | 222 | 165 | 74,32 | 68,17-73,68 | |
| Divorced | 82 | 52 | 63,41 | 52,51-73,10 | |
| Separated | 353 | 265 | 75,07 | 70,29-79,31 | |
| Age | |||||
| 18-29 | 1.181 | 716 | 60,63 | 57,81-63,38 | <0,001 |
| 30-39 | 1.465 | 1.038 | 70,85 | 68,47-73,13 | |
| 40-49 | 1.123 | 839 | 74,71 | 72,08-77,17 | |
| 50 or older | 746 | 530 | 71,05 | 67,68-74,19 | |
| Ethnics | |||||
| Mestizo | 2.459 | 1.721 | 69,99 | 67,97-71,6 | 0,12 |
| Quechua | 572 | 409 | 71,50 | 67,41-74,81 | |
| Other (C) | 1.112 | 744 | 66,90 | 63,84-69,37 | |
| No reply | 372 | 249 | 66,93 | 61,46-71,00 | |
| Education | |||||
| None-primary | 1.702 | 1.201 | 70,56 | 61,81-70,39 | 0,022 |
| High-school | 2.188 | 1.518 | 69,37 | 69,45-74,45 | |
| Higher education | 625 | 404 | 64,60 | 67,13-70,99 | |
| Number of children | |||||
| None | 613 | 337 | 54,98 | 51,01-58,88 | <0,001 |
| 1 to 2 | 1.867 | 1.299 | 69,58 | 67,45-71,62 | |
| 3 to 4 | 1.369 | 984 | 71,88 | 69,43-74,20 | |
| Over 4 | 666 | 503 | 75,53 | 72,11-78,64 | |
| Health insurance | |||||
| None | 1.029 | 564 | 54,81 | 51,29-57,35 | <0,001 |
| Public | 3416 | 2.509 | 73,45 | 72,22-75,25 | |
| Private | 70 | 50 | 71,43 | 58,46-72,33 | |
| Pursues consultation in prison | 3.370 | 2.458 | 72,79 | 71,17-74,18 | <0,001 |
| Engages Sporting activities in prison | 2.553 | 1.804 | 70,66 | 68,86-72,4 | 0,003 |
| Type of prison | |||||
| Mixed | 1.965 | 1.271 | 64,68 | 62,18-66,41 | <0,001 |
| Women-only | 2.550 | 1.852 | 72,63 | 70,75-74,21 | |
| Generators of need for health services | |||||
| History of Cancer | 74 | 61 | 82,43 | 72,05-89,52 | 0,013 |
| History of STD | 75 | 59 | 78,66 | 67,97-86,50 | 0,072 |
| History of HIV/AIDS | 47 | 37 | 78,72 | 64,78-88,15 | 0,154 |
| History of alcohol | 1.799 | 1.271 | 70,65 | 68,19-72,40 | 0,079 |
| History of smoking | 919 | 629 | 68,44 | 64,85-70,86 | 0,593 |
| TOTAL | 4515 | 3.123 | 69,17 | 67,81-70,50 | - |
Note. CI: confidence Interval; STD: sexually-transmitted disease; p: valor p.
Features associated to cervical cancer cytological cancer in the imprisoned population of Peru 2016
| Papanicolaou cervical cancer screening | ||
|---|---|---|
| Factors/Variables | Crude Model | Adjusted Model* |
| cPR (95%CI) | aPR (95%CI) | |
| Age | ||
| 18-29 | 1 | 1 |
| 30-39 | 1,17 (1,10-1,24) | 1,11 (1,05-1,17) |
| 40-49 | 1,23 (1,16-1,30) | 1,16 (1,09-1,23) |
| 50 or older | 1,17 (1,10-1,25) | 1,08 (1,01-1,16) |
| Number of children | ||
| None | 1 | 1 |
| 1 to 2 | 1,27 (1,17-1,37) | 1,19 (1,09-1,28) |
| 3 to 4 | 1,30 (1,21-1,41) | 1,18 (1,09-1,28) |
| 5 or more | 1,37 (1,26-1,49) | 1,23 (1,12-1,35) |
| Health insurance | ||
| None | 1 | 1 |
| Public | 1,34 (1,26-1,42) | 1,28 (1,21-1,36) |
| Private | 1,30 (1,11-1,52) | 1,32 (1,13-1,54) |
| Pursues consultation in prison | ||
| No | 1 | 1 |
| Yes | 1,26 (1,19-1,32) | 1,18 (1,12-1,24) |
| Engages Sporting activities in prison | ||
| No | 1 | 1 |
| Yes | 1,06 (1,02-1,10) | 1,07 (1,02-1,11) |
| Type of prison | ||
| Mixed | 1 | 1 |
| Women-only | 1,12 (1,08-1,17) | 1,07 (1,03-1,11) |
| History of cancer | ||
| No | 1 | 1 |
| Yes | 1,20 (1,07-1,33) | 1,14 (1,02-1,27) |
Note. *Adjusted for education and marital status.
CI: confidence interval. aPR: adjusted prevalence ratio. cPR: crude prevalence ratio