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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/14827

Title: The associations between alcohol intake and cardiometabolic risk in African-origin adults spanning the epidemiologic transition
Authors: Baghdan, Danny
Dugas, Lara R.
Choo-Kang, Candice
Plange-Rhule, Jacob
Bovet, Pascal
Viswanathan, Bharathi
Forrester, Terrence
Lambert, Estelle V.
Riesen, Walter
Korte, Wolfgang
Choudhry, Mashkoor A.
Luke, Amy
Issue Date: Dec-2021
Publisher: BMC Public Health
Citation: BMC Public Health, 21(1)
Abstract: Cardiometabolic (CM) risk affects approximately 25% of adults globally, and is diagnosed by meeting 3 out of 5 of the following CM risk factors: elevated blood pressure, high triglycerides, elevated blood sugar, low high-density lipoprotein (HDL) level, and abdominal obesity. Adults with CM risk are approximately 22% more likely to have higher mortality rates, and alcohol consumption may be associated with higher CM risk. While previous studies have investigated this potential connection, the majority of them did not include African-origin adults. Therefore, the study aimed to explore the association between alcohol intake and CM risk in 5 African-origin cohorts, spanning the epidemiologic transition in Ghana, South Africa, Jamaica, Seychelles and the United States of America. Methods: Measurements included clinical measures for CM risk and self-reported alcohol consumption. Each participant was categorized into one of three drinking categories: non-drinker, light drinker (1–3 drinks daily for men and 1–2 drinks daily for women) and heavy drinker (4 or more drinks every day for men and 3 or more drinks per day for women). Using non-drinker status as the reference, the association between alcohol consumption status and prevalence of each of the five CM risk factors and overall elevated CM risk (having 3 out of 5 risk factors) was explored, adjusting for site, age and sex. Associations were explored using logistic regression and significance was determined using odds ratios (OR) and 95% confidence intervals.
Description: This article is published by BMC Public Health and is also available at https://doi.org/10.1186/s12889-021-12128-2
URI: 10.1186/s12889-021-12128-2
Appears in Collections:College of Health Sciences

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