Combined exposure to multiple metals on abdominal aortic calcification: results from the NHANES study
Exposure to metals increases the risk of many diseases and has become a public health concern. However, few studies have focused on the effect of metal on abdominal aortic calcification (AAC), especially the combined effects of metal mixtures. In this study, we aim to investigate the combined effect...
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| Veröffentlicht in: | Environmental science and pollution research international 2024-04, Vol.31 (16), p.24282-24301 |
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| description | Exposure to metals increases the risk of many diseases and has become a public health concern. However, few studies have focused on the effect of metal on abdominal aortic calcification (AAC), especially the combined effects of metal mixtures. In this study, we aim to investigate the combined effect of metals on AAC risk and determine the key components in the multiple metals. We tried to investigate the relationship between multiple metal exposure and AAC risk. Fourteen urinary metals were analyzed with five statistical models as follows: generalized linear regression, weighted quantile sum regression (WQS), quantile g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR) models. A total of 838 participants were involved, of whom 241 (28.8%) had AAC. After adjusting for covariates, in multiple metal exposure logistic regression, cadmium (Cd) (OR = 1.364, 95% CI = 1.035–1.797) was positively associated with AAC risk, while cobalt (Co) (OR = 0.631, 95% CI = 0.438–0.908) was negatively associated with AAC risk. A significant positive effect between multiple metal exposure and AAC risk was observed in WQS (OR = 2.090; 95% CI = 1.280–3.420,
P
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| doi_str_mv | 10.1007/s11356-024-32745-9 |
| format | Article |
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P
< 0.01), Qgcomp (OR = 1.522, 95% CI = 1.012–2.290,
P
< 0.05), and BKMR models. It was found that the positive association may be driven primarily by Cd, lead (Pb), uranium (U), and tungsten (W). Subgroups analysis showed the association was more significant in participants with BMI ≥ 25 kg/m
2
, abdominal obesity, drinking, and smoking. Our study shows that exposure to multiple metals increases the risk of AAC in adults aged ≥ 40 years in the USA and that Cd, Pb, U, and W are the main contributors. The association is stronger in participants who are obese, smoker, or drinker.</description><identifier>ISSN: 1614-7499</identifier><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-024-32745-9</identifier><identifier>PMID: 38438641</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Abdomen ; Aorta ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Bayesian analysis ; Bayesian theory ; Cadmium ; Calcification ; Calcification (ectopic) ; Cobalt ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Exposure ; Heavy metals ; Lead ; Mathematical models ; Metals ; National Health and Nutrition Examination Survey ; Obesity ; Public health ; Quantiles ; Regression ; Regression analysis ; Research Article ; Risk ; Smoking ; Statistical analysis ; Statistical models ; Subgroups ; Tungsten ; Uranium ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2024-04, Vol.31 (16), p.24282-24301</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c359t-7224689717448fe0c7568e767f642a1e582ce5d1157b980f7a4b4f0197807fa43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-024-32745-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-024-32745-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38438641$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhou, Yuan-hang</creatorcontrib><creatorcontrib>Bai, Yu-jie</creatorcontrib><creatorcontrib>Zhao, Xiao-yan</creatorcontrib><title>Combined exposure to multiple metals on abdominal aortic calcification: results from the NHANES study</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>Exposure to metals increases the risk of many diseases and has become a public health concern. However, few studies have focused on the effect of metal on abdominal aortic calcification (AAC), especially the combined effects of metal mixtures. In this study, we aim to investigate the combined effect of metals on AAC risk and determine the key components in the multiple metals. We tried to investigate the relationship between multiple metal exposure and AAC risk. Fourteen urinary metals were analyzed with five statistical models as follows: generalized linear regression, weighted quantile sum regression (WQS), quantile g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR) models. A total of 838 participants were involved, of whom 241 (28.8%) had AAC. After adjusting for covariates, in multiple metal exposure logistic regression, cadmium (Cd) (OR = 1.364, 95% CI = 1.035–1.797) was positively associated with AAC risk, while cobalt (Co) (OR = 0.631, 95% CI = 0.438–0.908) was negatively associated with AAC risk. A significant positive effect between multiple metal exposure and AAC risk was observed in WQS (OR = 2.090; 95% CI = 1.280–3.420,
P
< 0.01), Qgcomp (OR = 1.522, 95% CI = 1.012–2.290,
P
< 0.05), and BKMR models. It was found that the positive association may be driven primarily by Cd, lead (Pb), uranium (U), and tungsten (W). Subgroups analysis showed the association was more significant in participants with BMI ≥ 25 kg/m
2
, abdominal obesity, drinking, and smoking. Our study shows that exposure to multiple metals increases the risk of AAC in adults aged ≥ 40 years in the USA and that Cd, Pb, U, and W are the main contributors. The association is stronger in participants who are obese, smoker, or drinker.</description><subject>Abdomen</subject><subject>Aorta</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Bayesian analysis</subject><subject>Bayesian theory</subject><subject>Cadmium</subject><subject>Calcification</subject><subject>Calcification (ectopic)</subject><subject>Cobalt</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Exposure</subject><subject>Heavy metals</subject><subject>Lead</subject><subject>Mathematical models</subject><subject>Metals</subject><subject>National Health and Nutrition Examination Survey</subject><subject>Obesity</subject><subject>Public health</subject><subject>Quantiles</subject><subject>Regression</subject><subject>Regression analysis</subject><subject>Research Article</subject><subject>Risk</subject><subject>Smoking</subject><subject>Statistical analysis</subject><subject>Statistical models</subject><subject>Subgroups</subject><subject>Tungsten</subject><subject>Uranium</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>1614-7499</issn><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkUtrFjEUhoMo9qJ_wIUE3LgZzf3irnzUVih1oa5DJnOiKTOTzyQD7b83-tULLnSVA3ne58B5EXpGyStKiH5dKeVSDYSJgTMt5GAfoGOqqBi0sPbhH_MROqn1hhBGLNOP0RE3ghsl6DGCXV7GtMKE4Xaf61YAt4yXbW5pPwNeoPm54rxiP055Saufsc-lpYCDn0OKKfiW8voGF6g9VHEsecHtC-Dry7Pr8w-4tm26e4Iexe6Bp_fvKfr09vzj7nK4en_xbnd2NQQubRs0Y0IZq6kWwkQgQUtlQCsdlWCegjQsgJwolXq0hkTtxSgioVYboqMX_BS9PHj3JX_doDa3pBpgnv0KeauOU8kVsbIf7n8os1wrawkzHX3xF3qTt9JP0YWEcyuM0KRT7ECFkmstEN2-pMWXO0eJ-96XO_Tlel_uR1_O9tDze_U2LjD9ivwsqAP8ANT-tX6G8nv3P7TfAArwnqM</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Zhou, Yuan-hang</creator><creator>Bai, Yu-jie</creator><creator>Zhao, Xiao-yan</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20240401</creationdate><title>Combined exposure to multiple metals on abdominal aortic calcification: results from the NHANES study</title><author>Zhou, Yuan-hang ; Bai, Yu-jie ; Zhao, Xiao-yan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-7224689717448fe0c7568e767f642a1e582ce5d1157b980f7a4b4f0197807fa43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Abdomen</topic><topic>Aorta</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Bayesian analysis</topic><topic>Bayesian theory</topic><topic>Cadmium</topic><topic>Calcification</topic><topic>Calcification (ectopic)</topic><topic>Cobalt</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Exposure</topic><topic>Heavy metals</topic><topic>Lead</topic><topic>Mathematical models</topic><topic>Metals</topic><topic>National Health and Nutrition Examination Survey</topic><topic>Obesity</topic><topic>Public health</topic><topic>Quantiles</topic><topic>Regression</topic><topic>Regression analysis</topic><topic>Research Article</topic><topic>Risk</topic><topic>Smoking</topic><topic>Statistical analysis</topic><topic>Statistical models</topic><topic>Subgroups</topic><topic>Tungsten</topic><topic>Uranium</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Yuan-hang</creatorcontrib><creatorcontrib>Bai, Yu-jie</creatorcontrib><creatorcontrib>Zhao, Xiao-yan</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Yuan-hang</au><au>Bai, Yu-jie</au><au>Zhao, Xiao-yan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Combined exposure to multiple metals on abdominal aortic calcification: results from the NHANES study</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2024-04-01</date><risdate>2024</risdate><volume>31</volume><issue>16</issue><spage>24282</spage><epage>24301</epage><pages>24282-24301</pages><issn>1614-7499</issn><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Exposure to metals increases the risk of many diseases and has become a public health concern. However, few studies have focused on the effect of metal on abdominal aortic calcification (AAC), especially the combined effects of metal mixtures. In this study, we aim to investigate the combined effect of metals on AAC risk and determine the key components in the multiple metals. We tried to investigate the relationship between multiple metal exposure and AAC risk. Fourteen urinary metals were analyzed with five statistical models as follows: generalized linear regression, weighted quantile sum regression (WQS), quantile g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR) models. A total of 838 participants were involved, of whom 241 (28.8%) had AAC. After adjusting for covariates, in multiple metal exposure logistic regression, cadmium (Cd) (OR = 1.364, 95% CI = 1.035–1.797) was positively associated with AAC risk, while cobalt (Co) (OR = 0.631, 95% CI = 0.438–0.908) was negatively associated with AAC risk. A significant positive effect between multiple metal exposure and AAC risk was observed in WQS (OR = 2.090; 95% CI = 1.280–3.420,
P
< 0.01), Qgcomp (OR = 1.522, 95% CI = 1.012–2.290,
P
< 0.05), and BKMR models. It was found that the positive association may be driven primarily by Cd, lead (Pb), uranium (U), and tungsten (W). Subgroups analysis showed the association was more significant in participants with BMI ≥ 25 kg/m
2
, abdominal obesity, drinking, and smoking. Our study shows that exposure to multiple metals increases the risk of AAC in adults aged ≥ 40 years in the USA and that Cd, Pb, U, and W are the main contributors. The association is stronger in participants who are obese, smoker, or drinker.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>38438641</pmid><doi>10.1007/s11356-024-32745-9</doi><tpages>20</tpages></addata></record> |
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| subjects | Abdomen Aorta Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Bayesian analysis Bayesian theory Cadmium Calcification Calcification (ectopic) Cobalt Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Exposure Heavy metals Lead Mathematical models Metals National Health and Nutrition Examination Survey Obesity Public health Quantiles Regression Regression analysis Research Article Risk Smoking Statistical analysis Statistical models Subgroups Tungsten Uranium Waste Water Technology Water Management Water Pollution Control |
| title | Combined exposure to multiple metals on abdominal aortic calcification: results from the NHANES study |
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