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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/14829
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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 http://hdl.handle.net/123456789/14829 |
Appears in Collections: | College of Health Sciences
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