Diabetes mellitus and ischemic heart disease patients in Babylon governorate
NeuroQuantology
; 20(6):6698-6705, 2022.
Article
in English
| EMBASE | ID: covidwho-1939460
ABSTRACT
Ischemic heart disease is the most common cardiovascular disease and causeof death in both males and females. Our study, conducted in Babylon governorate, aim of study To determine association between diabetic millets with risk factors among patients with ischemic heart disease in shaheedAlmuhrab center of cath& cardiac surgery in Hilla city. The method of study A cross-sectional study was conducted in center shaheedAlmuhrab center of cath& cardiac surgery The apparent association of diabetic Miletus with age, gender, and socioeconomic status is highly significant (0.019,0.047 and 0.045) respectively. And family history is not significant with diabetic Miletus p-value 0.142. While diabetes mellitus with hypertension, chronic kidney disease, and COVID-19 are highly significant (0.0001,0.029 and 0.01) respectively, whereas diabetic Miletus, smoking and exercise are significantp-value (0.013 and 0.005) respectively, but drinking alcohol is not significant p-value 0.410. Even though waist circumference and body mass index are linked to diabetes, they are very importantp-value (0.002 and 0.006) respectively. conclusion show result risk factor diabetic highly association between age,gender, socioeconomic status, hypertension and chronic kidney disease and covid-19 can cause ischemic heart disease. Also sedentary exercise smoking and anthropometric measurement.
adult; age; alcohol consumption; anthropometry; article; body mass; chronic kidney failure; controlled study; coronavirus disease 2019; cross-sectional study; diabetes mellitus; exercise; family history; female; gender; heart surgery; human; hypertension; ischemic heart disease; male; millet; nonhuman; risk assessment; risk factor; smoking; social status; surgery; waist circumference
Full text:
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Collection:
Databases of international organizations
Database:
EMBASE
Language:
English
Journal:
NeuroQuantology
Year:
2022
Document Type:
Article
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