Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019
Descripción del Articulo
Objective: To determine the factors associated and measure the socioeconomic inequalities in people with undiagnosed hypertension in Peru. Materials and methods: An observational, cross-sectional, analytical study was performed using data from the 2019 Demographic and Family Health Survey (ENDES, ac...
Autores: | , , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2021 |
Institución: | Seguro Social de Salud |
Repositorio: | ESSALUD-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.essalud.gob.pe:20.500.12959/3506 |
Enlace del recurso: | https://hdl.handle.net/20.500.12959/3506 https://doi.org/10.1016/j.heliyon.2021.e07516 |
Nivel de acceso: | acceso abierto |
Materia: | Hypertension Risk factors Healthcare disparities Chronic disease Perú Hipertensión Factores de riesgo Disparidades en el cuidado de la salud Enfermedad crónica https://purl.org/pe-repo/ocde/ford#3.02.04 |
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dc.title.es_PE.fl_str_mv |
Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019 |
dc.title.alternative.es_PE.fl_str_mv |
Hipertensión arterial no diagnosticada en Perú: análisis de factores asociados y desigualdades socioeconómicas, 2019 |
title |
Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019 |
spellingShingle |
Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019 Guerrero Díaz, Delia Vanessa Hypertension Risk factors Healthcare disparities Chronic disease Perú Hipertensión Factores de riesgo Disparidades en el cuidado de la salud Enfermedad crónica https://purl.org/pe-repo/ocde/ford#3.02.04 |
title_short |
Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019 |
title_full |
Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019 |
title_fullStr |
Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019 |
title_full_unstemmed |
Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019 |
title_sort |
Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019 |
author |
Guerrero Díaz, Delia Vanessa |
author_facet |
Guerrero Díaz, Delia Vanessa Hernández Vásquez, Akram Montoya Rivera, Wency Cecilia Rojas Roque, Carlos Chacón Díaz, Manuel Alberto Bendezu Quispe, Guido |
author_role |
author |
author2 |
Hernández Vásquez, Akram Montoya Rivera, Wency Cecilia Rojas Roque, Carlos Chacón Díaz, Manuel Alberto Bendezu Quispe, Guido |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Guerrero Díaz, Delia Vanessa Hernández Vásquez, Akram Montoya Rivera, Wency Cecilia Rojas Roque, Carlos Chacón Díaz, Manuel Alberto Bendezu Quispe, Guido |
dc.subject.es_PE.fl_str_mv |
Hypertension Risk factors Healthcare disparities Chronic disease Perú Hipertensión Factores de riesgo Disparidades en el cuidado de la salud Enfermedad crónica |
topic |
Hypertension Risk factors Healthcare disparities Chronic disease Perú Hipertensión Factores de riesgo Disparidades en el cuidado de la salud Enfermedad crónica https://purl.org/pe-repo/ocde/ford#3.02.04 |
dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#3.02.04 |
description |
Objective: To determine the factors associated and measure the socioeconomic inequalities in people with undiagnosed hypertension in Peru. Materials and methods: An observational, cross-sectional, analytical study was performed using data from the 2019 Demographic and Family Health Survey (ENDES, acronym in Spanish) database. The dependent variable was the presence of undiagnosed hypertension (mean systolic blood pressure ≥140 mmHg and/or mean diastolic blood pressure ≥90 mmHg in the two blood pressure measurements and with no prior diagnosis of hypertension by a health care professional). Adjusted prevalence ratios were estimated to determine the factors associated with undiagnosed hypertension. The socioeconomic inequality in undiagnosed hypertension was estimated using concentration curves and the Erreygers concentration index. Results: 67.2% of 3697 persons with hypertension had not been diagnosed. Non-diagnosis of hypertension was more prevalent in men who were residents of the Coast and in inhabitants residing at more than 3000 m above sea level. Being 50 years of age or older, having health insurance, being obese and having diabetes mellitus were associated with a lower prevalence of undiagnosed hypertension. Inequality of the non-diagnosis of hypertension was found to be concentrated in the poorest population. Conclusions: At least one out of every two adult Peruvians with hypertension have not been diagnosed with this condition. Socioeconomic inequality was found, as well as socio-demographic and health-related factors associated with undiagnosed hypertension. Our findings identify some population subgroups in which interventions for screening and treatment of hypertension should be prioritized in order to reduce both inequalities and complications of hypertension among the most vulnerable. |
publishDate |
2021 |
dc.date.accessioned.none.fl_str_mv |
2023-03-23T21:18:21Z |
dc.date.available.none.fl_str_mv |
2023-03-23T21:18:21Z |
dc.date.issued.fl_str_mv |
2021-07 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.citation.es_PE.fl_str_mv |
Heliyon. 2021; 7(7). |
dc.identifier.issn.none.fl_str_mv |
2405-8440 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12959/3506 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.heliyon.2021.e07516 |
identifier_str_mv |
Heliyon. 2021; 7(7). 2405-8440 |
url |
https://hdl.handle.net/20.500.12959/3506 https://doi.org/10.1016/j.heliyon.2021.e07516 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.uri.es_PE.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S2405844021016194 |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.es_PE.fl_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.es_PE.fl_str_mv |
application/pdf |
dc.publisher.es_PE.fl_str_mv |
Cell Press |
dc.source.none.fl_str_mv |
reponame:ESSALUD-Institucional instname:Seguro Social de Salud instacron:ESSALUD |
instname_str |
Seguro Social de Salud |
instacron_str |
ESSALUD |
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ESSALUD |
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ESSALUD-Institucional |
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ESSALUD-Institucional |
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Guerrero Díaz, Delia VanessaHernández Vásquez, AkramMontoya Rivera, Wency CeciliaRojas Roque, CarlosChacón Díaz, Manuel AlbertoBendezu Quispe, Guido2023-03-23T21:18:21Z2023-03-23T21:18:21Z2021-07Heliyon. 2021; 7(7).2405-8440https://hdl.handle.net/20.500.12959/3506https://doi.org/10.1016/j.heliyon.2021.e07516Objective: To determine the factors associated and measure the socioeconomic inequalities in people with undiagnosed hypertension in Peru. Materials and methods: An observational, cross-sectional, analytical study was performed using data from the 2019 Demographic and Family Health Survey (ENDES, acronym in Spanish) database. The dependent variable was the presence of undiagnosed hypertension (mean systolic blood pressure ≥140 mmHg and/or mean diastolic blood pressure ≥90 mmHg in the two blood pressure measurements and with no prior diagnosis of hypertension by a health care professional). Adjusted prevalence ratios were estimated to determine the factors associated with undiagnosed hypertension. The socioeconomic inequality in undiagnosed hypertension was estimated using concentration curves and the Erreygers concentration index. Results: 67.2% of 3697 persons with hypertension had not been diagnosed. Non-diagnosis of hypertension was more prevalent in men who were residents of the Coast and in inhabitants residing at more than 3000 m above sea level. Being 50 years of age or older, having health insurance, being obese and having diabetes mellitus were associated with a lower prevalence of undiagnosed hypertension. Inequality of the non-diagnosis of hypertension was found to be concentrated in the poorest population. Conclusions: At least one out of every two adult Peruvians with hypertension have not been diagnosed with this condition. Socioeconomic inequality was found, as well as socio-demographic and health-related factors associated with undiagnosed hypertension. Our findings identify some population subgroups in which interventions for screening and treatment of hypertension should be prioritized in order to reduce both inequalities and complications of hypertension among the most vulnerable.Objetivo Determinar los factores asociados y medir las desigualdades socioeconómicas en personas con hipertensión no diagnosticada en el Perú. Materiales y métodos Se realizó un estudio observacional, transversal, analítico, utilizando datos de la base de datos de la Encuesta Demográfica y de Salud Familiar (ENDES) 2019. La variable dependiente fue la presencia de hipertensión arterial no diagnosticada ( presión arterial sistólica media ≥ 140 mmHg y/o presión arterial diastólica media ≥ 90 mmHg en las dos tomas de presión arterial y sin diagnóstico previo de hipertensión arterial por parte de un profesional sanitario). Se estimaron razones de prevalencia ajustadas para determinar los factores asociados con la hipertensión no diagnosticada. La desigualdad socioeconómica en la hipertensión no diagnosticada se estimó mediante curvas de concentración y el índice de concentración de Erreygers. Resultados El 67,2% de 3697 hipertensos no habían sido diagnosticados. El no diagnóstico de hipertensión arterial fue más prevalente en los hombres residentes en la Costa y en los habitantes que residían a más de 3000 m sobre el nivel del mar. Tener 50 años o más, tener seguro médico , ser obeso y tener diabetes mellitus se asociaron con una menor prevalencia de hipertensión no diagnosticada. Se encontró que la desigualdad del no diagnóstico de hipertensión se concentra en la población más pobre. Conclusiones Al menos uno de cada dos peruanos adultos con hipertensión no ha sido diagnosticado con esta condición. Se encontró desigualdad socioeconómica, factores sociodemográficos y de salud asociados a hipertensión no diagnosticada. Nuestros hallazgos identifican algunos subgrupos de población en los que se deben priorizar las intervenciones de detección y tratamiento de la hipertensión para reducir tanto las desigualdades como las complicaciones de la hipertensión entre los más vulnerables.application/pdfengCell Presshttps://www.sciencedirect.com/science/article/pii/S2405844021016194info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/HypertensionRisk factorsHealthcare disparitiesChronic diseasePerúHipertensiónFactores de riesgoDisparidades en el cuidado de la saludEnfermedad crónicahttps://purl.org/pe-repo/ocde/ford#3.02.04Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019Hipertensión arterial no diagnosticada en Perú: análisis de factores asociados y desigualdades socioeconómicas, 2019info:eu-repo/semantics/articlereponame:ESSALUD-Institucionalinstname:Seguro Social de Saludinstacron:ESSALUDTEXTUndiagnosed hypertension in Peru.pdf.txtUndiagnosed hypertension in Peru.pdf.txtExtracted texttext/plain11https://repositorio.essalud.gob.pe/bitstream/20.500.12959/3506/3/Undiagnosed%20hypertension%20in%20Peru.pdf.txtb308b7fe5c1c2bbdc0cb686d451b84aaMD53THUMBNAILUndiagnosed hypertension in Peru.pdf.jpgUndiagnosed hypertension in Peru.pdf.jpgGenerated Thumbnailimage/jpeg6736https://repositorio.essalud.gob.pe/bitstream/20.500.12959/3506/4/Undiagnosed%20hypertension%20in%20Peru.pdf.jpg336b44a3ede8878df8a8a97183a891b9MD54ORIGINALUndiagnosed hypertension in Peru.pdfUndiagnosed hypertension in Peru.pdfapplication/pdf5656947https://repositorio.essalud.gob.pe/bitstream/20.500.12959/3506/1/Undiagnosed%20hypertension%20in%20Peru.pdfafabfa35ff56b497dc697953e59810baMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.essalud.gob.pe/bitstream/20.500.12959/3506/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5220.500.12959/3506oai:repositorio.essalud.gob.pe:20.500.12959/35062023-03-24 03:00:33.816Repositorio Seguro Social de Salud – ESSALUDbibliotecacentral@essalud.gob.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 |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).