Burden of Undiagnosed Hypertension among Adults in Urban Communities of Southwest Ethiopia

Hypertension (HTN) is the leading risk factor for mortality due to cardiovascular diseases, it accounts for 7% of global disability adjusted life years. In 2015, it was estimated that around 1.13 billion adults had HTN globally with a high prevalence in low and middle-income countries where the heal...

Full description

Saved in:
Bibliographic Details
Published in:Integrated blood pressure control 2021-01, Vol.14, p.69-76
Main Authors: Mogas, Solomon Berhanu, Tesfaye, Temamen, Zewde, Belay, Tesfaye, Yonas, Kebede, Ayantu, Tadesse, Mulualem, Gudina, Esayas Kebede, Tamiru, Dessalegn, Dadi, Lelisa Sena
Format: Article
Language:English
Subjects:
adult
Adults
Analysis
Blood pressure
Body mass index
burden
Cost control
Data collection
Developing countries
Diabetes
Ethiopia
Fasting
Glucose
Hypertension
jimma town
Laboratories
LDCs
Lipoproteins
Mortality
Original Research
Prevention
risk
Risk factors
Sample size
Sampling techniques
undiagnosed
Womens health
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Hypertension (HTN) is the leading risk factor for mortality due to cardiovascular diseases, it accounts for 7% of global disability adjusted life years. In 2015, it was estimated that around 1.13 billion adults had HTN globally with a high prevalence in low and middle-income countries where the health system is weak to diagnose, treat, and control HTN. Most people with HTN are asymptomatic and go undiagnosed for years. Therefore, the aim of this study was to assess the burden of undiagnosed HTN among adults in urban communities of Southwest Ethiopia. A community-based cross-sectional study involving 915 adults from June 17 to July 27, 2019 was performed. WHO STEPS questionnaire was used to collect data, and the collected data were entered using Epi Data version 3.1and analyzed using SPSS version 20, respectively. Binary logistic regression was used to check for a possible association between outcome and independent factors. -value
ISSN:1178-7104
1178-7104
DOI:10.2147/IBPC.S293251