Dyslipidemia and associated factors among adult cardiac patients: a hospital-based comparative cross-sectional study

Atherosclerotic vascular diseases are a leading global cause of morbidity and mortality. Dyslipidemia, a major modifiable risk factor for cardiovascular disease, remains poorly understood among adult cardiac patients in in the study area. This study aims to determine the prevalence of dyslipidemia a...

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Bibliographic Details
Published in:European journal of medical research 2024-04, Vol.29 (1), p.237-237, Article 237
Main Authors: Abera, Alemayehu, Worede, Abebaw, Hirigo, Agete Tadewos, Alemayehu, Rahel, Ambachew, Sintayehu
Format: Article
Language:English
Subjects:
Adult
Analysis
Associated factors
Blood cholesterol
Cardiac patients
Cholesterol
Cross-Sectional Studies
Dyslipidemia
Dyslipidemias - complications
Dyslipidemias - epidemiology
Ethiopia
Female
Health aspects
Hospitals
Humans
Hypercholesterolemia
Hypercholesterolemia - complications
Hypercholesterolemia - epidemiology
Hypertension
Hypertriglyceridemia - complications
Lipids
Low density lipoproteins
Male
Medical research
Medicine, Experimental
Mortality
Obesity - complications
Obesity - epidemiology
Obesity, Abdominal - complications
Obesity, Abdominal - epidemiology
Overweight - complications
Overweight - epidemiology
Physical instruments
Prevalence
Risk Factors
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Summary:Atherosclerotic vascular diseases are a leading global cause of morbidity and mortality. Dyslipidemia, a major modifiable risk factor for cardiovascular disease, remains poorly understood among adult cardiac patients in in the study area. This study aims to determine the prevalence of dyslipidemia and identify associated factors in this population. Hospital-based comparative cross-sectional study was conducted from May to August 2021. A total of 319 participants (153 cardiac cases, 166 healthy controls, aged ≥ 18) were included in the study. Socio-demographic, anthropometric, behavioral, and clinical data were collected using the WHO STEPS survey instrument through systematic sampling. Overnight fasting blood samples were obtained, and serum lipid profiles were analyzed using a COBAS 6000 analyzer. Data were analyzed with SPSS version 20.0, employing bivariable and multivariable logistic regression. Statistical significance was set at p 
ISSN:2047-783X
0949-2321
2047-783X
DOI:10.1186/s40001-024-01802-x