Mostrar el registro sencillo del ítem
dc.contributor.author | Salazar-De La Cuba, Ana L. | |
dc.contributor.author | Ardiles-Paredes, Diana F. | |
dc.contributor.author | Araujo-Castillo, Roger V. | |
dc.contributor.author | Maguiña, Jorge L. | |
dc.date.accessioned | 2019-12-06T20:57:45Z | |
dc.date.available | 2019-12-06T20:57:45Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12866/7392 | |
dc.description.abstract | Objective: To estimate the prevalence of self-reported tuberculosis TB diagnosed at Peruvian correctional facilities (CFs), and their associated factors. Methods: Cross-sectional study based on secondary analysis of the National Census held in all Peruvian CFs in 2016. Outcome was defined as self-reported TB diagnosed by a healthcare professional intra-penitentiary. A descriptive bivariate analysis was carried out, followed by multivariate analysis using Poisson regression in order to calculate the adjusted prevalence ratios (PRa). Additionally, a mixed effects multilevel model adjusted by CFs as clusters was performed. Results: Of 77 086 prison inmates in 66 CFs participated in the original census, of which 69 890 were included. Of these, 1754 self-reported TB diagnosed intra-penitentiary, yielding a prevalence of 2510/100 000 PDL. In the final model, self-reported TB was associated with younger age, male gender, lower educational level, not having a stable partner, having prison readmissions and having relatives in prison. There was also strong association with HIV/AIDS (PRa 2.77; 1.84–4.18), STIs (PRa 2.13; 1.46–3.10), DM (PRa 1.99; 1.59–2.50) and recreational drugs use (PRa 1.41; 1.23–1.61). The mixed model showed significant variance for belonging to different CFs (2.13; 1.02–4.44) and CF overcrowding (3.25; 1.37–7.71). Conclusions: Self-reported TB prevalence found was higher than reported by other lower/lower-middle income countries. Demographic factors, individual clinical features and overcrowding increases the likelihood of self-reported TB. | en_US |
dc.description.sponsorship | Este trabajo fue financiado por FONDECYT [número de contrato 033-235-2015]. | es_PE |
dc.language.iso | eng | |
dc.publisher | Wiley | |
dc.relation.ispartofseries | Tropical Medicine and International Health | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es | |
dc.subject | acquired immune deficiency syndrome | en_US |
dc.subject | adult | en_US |
dc.subject | Adult | en_US |
dc.subject | age distribution | en_US |
dc.subject | Age Distribution | en_US |
dc.subject | age structure | en_US |
dc.subject | aged | en_US |
dc.subject | Aged | en_US |
dc.subject | alcohol consumption | en_US |
dc.subject | alcoholic beverage | en_US |
dc.subject | Article | en_US |
dc.subject | beverage | en_US |
dc.subject | census | en_US |
dc.subject | clinical feature | en_US |
dc.subject | Cross-Sectional Studies | en_US |
dc.subject | cross-sectional study | en_US |
dc.subject | crowding (area) | en_US |
dc.subject | depression | en_US |
dc.subject | diabetes mellitus | en_US |
dc.subject | disease incidence | en_US |
dc.subject | drug | en_US |
dc.subject | drug use | en_US |
dc.subject | female | en_US |
dc.subject | Female | en_US |
dc.subject | health care personnel | en_US |
dc.subject | health practitioner | en_US |
dc.subject | hospital readmission | en_US |
dc.subject | human | en_US |
dc.subject | Human immunodeficiency virus | en_US |
dc.subject | Humans | en_US |
dc.subject | hypertension | en_US |
dc.subject | infectious disease | en_US |
dc.subject | infectivity | en_US |
dc.subject | major clinical study | en_US |
dc.subject | male | en_US |
dc.subject | Male | en_US |
dc.subject | medical history | en_US |
dc.subject | middle aged | en_US |
dc.subject | Middle Aged | en_US |
dc.subject | multivariate analysis | en_US |
dc.subject | overcrowding | en_US |
dc.subject | patient-reported outcome | en_US |
dc.subject | Peru | en_US |
dc.subject | population | en_US |
dc.subject | prevalence | en_US |
dc.subject | Prevalence | en_US |
dc.subject | prison | en_US |
dc.subject | prisoner | en_US |
dc.subject | prisons | en_US |
dc.subject | recreational drug | en_US |
dc.subject | risk factor | en_US |
dc.subject | Risk Factors | en_US |
dc.subject | secondary analysis | en_US |
dc.subject | self report | en_US |
dc.subject | Self Report | en_US |
dc.subject | self-report | en_US |
dc.subject | sex factor | en_US |
dc.subject | Sex Factors | en_US |
dc.subject | sexually transmitted disease | en_US |
dc.subject | Socioeconomic Factors | en_US |
dc.subject | socioeconomics | en_US |
dc.subject | terbium | en_US |
dc.subject | tobacco use | en_US |
dc.subject | tuberculosis | en_US |
dc.subject | Tuberculosis | en_US |
dc.subject | virus hepatitis | en_US |
dc.subject | vulnerable population | en_US |
dc.subject | vulnerable populations | en_US |
dc.subject | young adult | en_US |
dc.subject | Young Adult | en_US |
dc.title | High prevalence of self-reported tuberculosis and associated factors in a nation-wide census among prison inmates in Peru | en_US |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | https://doi.org/10.1111/tmi.13199 | |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#3.03.06 | |
dc.relation.issn | 1365-3156 |
Ficheros | Tamaño | Formato | Ver |
---|---|---|---|
No hay ficheros asociados a este ítem. |