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 |
|