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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/14829

Title: The human microbiota is associated with cardiometabolic risk across the epidemiologic transition
Authors: Fei, Na
Peñalver Bernabe, Beatriz
Lie, Louise
Baghdan, Danny
Bedu-Addo, Kweku
Plange-Rhule, Jacob
Forrester, Terrence E.
Lambert, Estelle V.
Bovet, Pascal
Gottel, Neil
Riesen, Walter
Korte, Wolfgang
Luke, Amy
Kliethermes, Stephanie A.
Layden, Brian T.
Gilbert, Jack A.
Dugas, Lara R.
Issue Date: Jul-2019
Publisher: Plos One
Citation: Plos One
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 Plos One and is also available at DOI:10.1186/s12889-021-12128-2
URI: 10.1371/journal.pone.0215262
Appears in Collections:College of Health Sciences

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