Distribution of metals exposure and associations with cardiometabolic risk factors in the ¿Modeling the Epidemiologic Transition Study¿

Abstract Background Metals are known endocrine disruptors and have been linked to cardiometabolic diseases via multiple potential mechanisms, yet few human studies have both the exposure variability and biologically-relevant phenotype data available. We sought to examine the distribution of metals exposure and potential associations with cardiometabolic risk factors in the and#8220;Modeling the Epidemiologic Transition Studyand#8221; (METS), a prospective cohort study designed to assess energy balance and change in body weight, diabetes and cardiovascular disease risk in five countries at different stages of social and economic development. Methods Young adults (25and#8211;45 years) of African descent were enrolled (Nand#8201;=and#8201;500 from each site) in: Ghana, South Africa, Seychelles, Jamaica and the U.S.A. We randomly selected 150 blood samples (Nand#8201;=and#8201;30 from each site) to determine concentrations of selected metals (arsenic, cadmium, lead, mercury) in a subset of participants at baseline and to examine associations with cardiometabolic risk factors. Results Median (interquartile range) metal concentrations (and#956;g/L) were: arsenic 8.5 (7.7); cadmium 0.01 (0.8); lead 16.6 (16.1); and mercury 1.5 (5.0). There were significant differences in metals concentrations by: site location, paid employment status, education, marital status, smoking, alcohol use, and fish intake. After adjusting for these covariates plus age and sex, arsenic (OR 4.1, 95% C.I. 1.2, 14.6) and lead (OR 4.0, 95% C.I. 1.6, 9.6) above the median values were significantly associated with elevated fasting glucose. These associations increased when models were further adjusted for percent body fat: arsenic (OR 5.6, 95% C.I. 1.5, 21.2) and lead (OR 5.0, 95% C.I. 2.0, 12.7). Cadmium and mercury were also related with increased odds of elevated fasting glucose, but the associations were not statistically significant. Arsenic was significantly associated with increased odds of low HDL cholesterol both with (OR 8.0, 95% C.I. 1.8, 35.0) and without (OR 5.9, 95% C.I. 1.5, 23.1) adjustment for percent body fat. Conclusions While not consistent for all cardiometabolic disease markers, these results are suggestive of potentially important associations between metals exposure and cardiometabolic risk. Future studies will examine these associations in the larger cohort over time.

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Main Authors: Ettinger, Adrienne S, Bovet, Pascal, Plange-Rhule, Jacob, Forrester, Terrence E, Lambert, Estelle V, Lupoli, Nicola, Shine, James, Dugas, Lara R, Shoham, David, Durazo-Arvizu, Ramon A, Cooper, Richard S, Luke, Amy
Format: Journal Article biblioteca
Language:English
Published: 2014-11-05
Online Access:http://dx.doi.org/10.1186/1476-069X-13-90
http://hdl.handle.net/2139/39226
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spelling oai:oai:uwispace.sta.uwi.edu:2139:2139-392262016-06-09T15:34:21Z Distribution of metals exposure and associations with cardiometabolic risk factors in the ¿Modeling the Epidemiologic Transition Study¿ Ettinger, Adrienne S Bovet, Pascal Plange-Rhule, Jacob Forrester, Terrence E Lambert, Estelle V Lupoli, Nicola Shine, James Dugas, Lara R Shoham, David Durazo-Arvizu, Ramon A Cooper, Richard S Luke, Amy Abstract Background Metals are known endocrine disruptors and have been linked to cardiometabolic diseases via multiple potential mechanisms, yet few human studies have both the exposure variability and biologically-relevant phenotype data available. We sought to examine the distribution of metals exposure and potential associations with cardiometabolic risk factors in the and#8220;Modeling the Epidemiologic Transition Studyand#8221; (METS), a prospective cohort study designed to assess energy balance and change in body weight, diabetes and cardiovascular disease risk in five countries at different stages of social and economic development. Methods Young adults (25and#8211;45 years) of African descent were enrolled (Nand#8201;=and#8201;500 from each site) in: Ghana, South Africa, Seychelles, Jamaica and the U.S.A. We randomly selected 150 blood samples (Nand#8201;=and#8201;30 from each site) to determine concentrations of selected metals (arsenic, cadmium, lead, mercury) in a subset of participants at baseline and to examine associations with cardiometabolic risk factors. Results Median (interquartile range) metal concentrations (and#956;g/L) were: arsenic 8.5 (7.7); cadmium 0.01 (0.8); lead 16.6 (16.1); and mercury 1.5 (5.0). There were significant differences in metals concentrations by: site location, paid employment status, education, marital status, smoking, alcohol use, and fish intake. After adjusting for these covariates plus age and sex, arsenic (OR 4.1, 95% C.I. 1.2, 14.6) and lead (OR 4.0, 95% C.I. 1.6, 9.6) above the median values were significantly associated with elevated fasting glucose. These associations increased when models were further adjusted for percent body fat: arsenic (OR 5.6, 95% C.I. 1.5, 21.2) and lead (OR 5.0, 95% C.I. 2.0, 12.7). Cadmium and mercury were also related with increased odds of elevated fasting glucose, but the associations were not statistically significant. Arsenic was significantly associated with increased odds of low HDL cholesterol both with (OR 8.0, 95% C.I. 1.8, 35.0) and without (OR 5.9, 95% C.I. 1.5, 23.1) adjustment for percent body fat. Conclusions While not consistent for all cardiometabolic disease markers, these results are suggestive of potentially important associations between metals exposure and cardiometabolic risk. Future studies will examine these associations in the larger cohort over time. Peer Reviewed 2014-11-20T11:58:44Z 2014-11-20T11:58:44Z 2014-11-05 2014-11-20T11:58:46Z Journal Article Environmental Health. 2014 Nov 05;13(1):90 http://dx.doi.org/10.1186/1476-069X-13-90 http://hdl.handle.net/2139/39226 en Adrienne S Ettinger et al.; licensee BioMed Central Ltd. text/xml application/pdf
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country Trinidad y Tobago
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libraryname UWI library system TT
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description Abstract Background Metals are known endocrine disruptors and have been linked to cardiometabolic diseases via multiple potential mechanisms, yet few human studies have both the exposure variability and biologically-relevant phenotype data available. We sought to examine the distribution of metals exposure and potential associations with cardiometabolic risk factors in the and#8220;Modeling the Epidemiologic Transition Studyand#8221; (METS), a prospective cohort study designed to assess energy balance and change in body weight, diabetes and cardiovascular disease risk in five countries at different stages of social and economic development. Methods Young adults (25and#8211;45 years) of African descent were enrolled (Nand#8201;=and#8201;500 from each site) in: Ghana, South Africa, Seychelles, Jamaica and the U.S.A. We randomly selected 150 blood samples (Nand#8201;=and#8201;30 from each site) to determine concentrations of selected metals (arsenic, cadmium, lead, mercury) in a subset of participants at baseline and to examine associations with cardiometabolic risk factors. Results Median (interquartile range) metal concentrations (and#956;g/L) were: arsenic 8.5 (7.7); cadmium 0.01 (0.8); lead 16.6 (16.1); and mercury 1.5 (5.0). There were significant differences in metals concentrations by: site location, paid employment status, education, marital status, smoking, alcohol use, and fish intake. After adjusting for these covariates plus age and sex, arsenic (OR 4.1, 95% C.I. 1.2, 14.6) and lead (OR 4.0, 95% C.I. 1.6, 9.6) above the median values were significantly associated with elevated fasting glucose. These associations increased when models were further adjusted for percent body fat: arsenic (OR 5.6, 95% C.I. 1.5, 21.2) and lead (OR 5.0, 95% C.I. 2.0, 12.7). Cadmium and mercury were also related with increased odds of elevated fasting glucose, but the associations were not statistically significant. Arsenic was significantly associated with increased odds of low HDL cholesterol both with (OR 8.0, 95% C.I. 1.8, 35.0) and without (OR 5.9, 95% C.I. 1.5, 23.1) adjustment for percent body fat. Conclusions While not consistent for all cardiometabolic disease markers, these results are suggestive of potentially important associations between metals exposure and cardiometabolic risk. Future studies will examine these associations in the larger cohort over time.
format Journal Article
author Ettinger, Adrienne S
Bovet, Pascal
Plange-Rhule, Jacob
Forrester, Terrence E
Lambert, Estelle V
Lupoli, Nicola
Shine, James
Dugas, Lara R
Shoham, David
Durazo-Arvizu, Ramon A
Cooper, Richard S
Luke, Amy
spellingShingle Ettinger, Adrienne S
Bovet, Pascal
Plange-Rhule, Jacob
Forrester, Terrence E
Lambert, Estelle V
Lupoli, Nicola
Shine, James
Dugas, Lara R
Shoham, David
Durazo-Arvizu, Ramon A
Cooper, Richard S
Luke, Amy
Distribution of metals exposure and associations with cardiometabolic risk factors in the ¿Modeling the Epidemiologic Transition Study¿
author_facet Ettinger, Adrienne S
Bovet, Pascal
Plange-Rhule, Jacob
Forrester, Terrence E
Lambert, Estelle V
Lupoli, Nicola
Shine, James
Dugas, Lara R
Shoham, David
Durazo-Arvizu, Ramon A
Cooper, Richard S
Luke, Amy
author_sort Ettinger, Adrienne S
title Distribution of metals exposure and associations with cardiometabolic risk factors in the ¿Modeling the Epidemiologic Transition Study¿
title_short Distribution of metals exposure and associations with cardiometabolic risk factors in the ¿Modeling the Epidemiologic Transition Study¿
title_full Distribution of metals exposure and associations with cardiometabolic risk factors in the ¿Modeling the Epidemiologic Transition Study¿
title_fullStr Distribution of metals exposure and associations with cardiometabolic risk factors in the ¿Modeling the Epidemiologic Transition Study¿
title_full_unstemmed Distribution of metals exposure and associations with cardiometabolic risk factors in the ¿Modeling the Epidemiologic Transition Study¿
title_sort distribution of metals exposure and associations with cardiometabolic risk factors in the ¿modeling the epidemiologic transition study¿
publishDate 2014-11-05
url http://dx.doi.org/10.1186/1476-069X-13-90
http://hdl.handle.net/2139/39226
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