Bibliographic citations
Gallo, L., Espiritu, J. (2023). Desigualdades socioeconómicas en la prevalencia de hipertensión arterial no diagnosticada en la población peruana de 36 años a más. Un análisis de la encuesta demográfica y salud familiar entre los años 2017-2019 [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/667389
Gallo, L., Espiritu, J. Desigualdades socioeconómicas en la prevalencia de hipertensión arterial no diagnosticada en la población peruana de 36 años a más. Un análisis de la encuesta demográfica y salud familiar entre los años 2017-2019 [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/667389
@misc{renati/404407,
title = "Desigualdades socioeconómicas en la prevalencia de hipertensión arterial no diagnosticada en la población peruana de 36 años a más. Un análisis de la encuesta demográfica y salud familiar entre los años 2017-2019",
author = "Espiritu Garcia, Jennifer Danae",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
Background: Arterial hypertension (HTN) in Peru is considered a severe public health problem. Many indicators trigger health inequalities and result in a more vulnerable population. Our study tries to analyze the socio-economic inequalities that influence undiagnosed arterial hypertension. Objective: To investigate the inequalities in the prevalence of undiagnosed hypertension according to the socio-economic level of the Peruvian population from 36-old-years to more who participated in the ENDES survey (from Spanish acronym Encuesta Demográfica y de Salud Familiar) between 2017-2019. Methods: An observational trial with a cross-sectional and analytical design was carried out based on the information available from the ENDES 2017-2019 surveys. This study was extended to the population from 36-old-years to more, where two blood pressure measurements were reported. Sociodemographic characteristics were reported using absolute frequency and weighted proportions considering a 95% of confidence range, and the statistical difference was assumed to have a p-value<0.05. Concentration indexes (CIs) based on wealth quintiles were calculated to measure inequalities in undiagnosed hypertension. Results: Based on the results, the concentration index (CI) was negative, indicating that the poorest population was disproportionately affected by undiagnosed hypertension. The highest values of CI could be acquired in the age group equal to or greater than 6-old-years (IQ -0.114 SE 0.008), for females (IQ -0.086 SE 0.008), in the category with no education (IQ -0.070 SE 0.011), also in the group who live in rural areas (CI -0.037 SE 0.006), in groups who do not have health insurance (CI -0.055 SE 0.055) and in groups who have a low weight/normal of weight nutritional status (CI -0.059 SE 0.008). Conclusions: We found socio-economic inequalities in the poorest concerning undiagnosed hypertension.
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