Loading…

Metal (loid) Exposure and Overweight and Obesity in 6–12-Year-Old Spanish Children

Epidemiological studies focusing on metal(oid) exposure and excess body weight among children show inconsistent results and the influence of metal(loid) mixtures has been little studied. We aimed to explore the effect of 10 metal(loid)s, individually and in combinations, on overweight and obesity am...

Full description

Saved in:
Bibliographic Details
Published in:Exposure and health 2024-12, Vol.16 (6), p.1471-1483
Main Authors: Salcedo-Bellido, Inmaculada, Castillo Bueno, Helga, Olmedo, Pablo, Gil, Fernando, Ocaña-Peinado, Francisco M., Rodrigo, Lourdes, Rivas, Ana
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c314t-758933a5f9968fc79fcb75c833e6fd3d7345c98ba843617dda35591c840329103
container_end_page 1483
container_issue 6
container_start_page 1471
container_title Exposure and health
container_volume 16
creator Salcedo-Bellido, Inmaculada
Castillo Bueno, Helga
Olmedo, Pablo
Gil, Fernando
Ocaña-Peinado, Francisco M.
Rodrigo, Lourdes
Rivas, Ana
description Epidemiological studies focusing on metal(oid) exposure and excess body weight among children show inconsistent results and the influence of metal(loid) mixtures has been little studied. We aimed to explore the effect of 10 metal(loid)s, individually and in combinations, on overweight and obesity among children aged 6–12. Urinary levels of these metal(oid)s from 92 controls and 51 cases with overweight and obesity were analyzed. Metal(loid) levels were log-transformed and categorized into tertiles according to the control group cutoff points. Two logistic regression models and weighted quantile sum regressions (WQS) were run: model 1 adjusting for age, sex, creatinine, energy intake and physical activity and model 2 additionally adjusting for maternal education, rice and fish consumption. In the single metal(oid) exposure model, there was a trend of significant negative association for urinary cobalt (Co), where children in the third tertile had lower odds of present overweight and obesity than those in the first (Odds Ratio, OR = 0.43; 95% Confidence Interval, CI = 0.20–0.93). Urinary chromium (Cr) levels were borderline-significant negatively associated with overweight and obesity (ORa = 1.70; 95% CI = 0.97–2.98). Molybdemun, Cr and Co had a major contribution to the inverse association between metal(loid) mixture and overweight and obesity as well as lead, cadmium and total arsenic in the positive relationship. Our findings in this explorative study suggested an inverse association of high urinary Co levels with overweight and obesity. Moreover, metal(loid) mixture exposure may have influence on overweight and obesity with an important contribution of Co in the potential negative effect.
doi_str_mv 10.1007/s12403-024-00638-4
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3134184024</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3134184024</sourcerecordid><originalsourceid>FETCH-LOGICAL-c314t-758933a5f9968fc79fcb75c833e6fd3d7345c98ba843617dda35591c840329103</originalsourceid><addsrcrecordid>eNp9kE1OwzAQhS0EElXpBVhZYgMLg53xT7JEVfmRirqgLFhZbuy0qUIS7BTojjtwQ06CS0DsWM2M9L03Mw-hY0bPGaXqIrCEUyA04YRSCSnhe2iQcMFIJlOx_9srKQ_RKIQ1pZRJwaJqgOZ3rjMVPq2a0p7hyVvbhI132NQWz16cf3XlctX148KFstvissby8_2DJeTRGU9mlcX3ranLsMLjVVlZ7-ojdFCYKrjRTx2ih6vJfHxDprPr2_HllOTAeEeUSDMAI4os3lnkKivyhRJ5CuBkYcEq4CLP0oVJOUimrDUgRMbyNH6bZIzCEJ30vq1vnjcudHrdbHwdV2pgwFkEEx6ppKdy34TgXaFbXz4Zv9WM6l2Aug9QR1h_B6h3IuhFIcL10vk_639UX1FVcQk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3134184024</pqid></control><display><type>article</type><title>Metal (loid) Exposure and Overweight and Obesity in 6–12-Year-Old Spanish Children</title><source>Springer Nature</source><creator>Salcedo-Bellido, Inmaculada ; Castillo Bueno, Helga ; Olmedo, Pablo ; Gil, Fernando ; Ocaña-Peinado, Francisco M. ; Rodrigo, Lourdes ; Rivas, Ana</creator><creatorcontrib>Salcedo-Bellido, Inmaculada ; Castillo Bueno, Helga ; Olmedo, Pablo ; Gil, Fernando ; Ocaña-Peinado, Francisco M. ; Rodrigo, Lourdes ; Rivas, Ana</creatorcontrib><description>Epidemiological studies focusing on metal(oid) exposure and excess body weight among children show inconsistent results and the influence of metal(loid) mixtures has been little studied. We aimed to explore the effect of 10 metal(loid)s, individually and in combinations, on overweight and obesity among children aged 6–12. Urinary levels of these metal(oid)s from 92 controls and 51 cases with overweight and obesity were analyzed. Metal(loid) levels were log-transformed and categorized into tertiles according to the control group cutoff points. Two logistic regression models and weighted quantile sum regressions (WQS) were run: model 1 adjusting for age, sex, creatinine, energy intake and physical activity and model 2 additionally adjusting for maternal education, rice and fish consumption. In the single metal(oid) exposure model, there was a trend of significant negative association for urinary cobalt (Co), where children in the third tertile had lower odds of present overweight and obesity than those in the first (Odds Ratio, OR = 0.43; 95% Confidence Interval, CI = 0.20–0.93). Urinary chromium (Cr) levels were borderline-significant negatively associated with overweight and obesity (ORa = 1.70; 95% CI = 0.97–2.98). Molybdemun, Cr and Co had a major contribution to the inverse association between metal(loid) mixture and overweight and obesity as well as lead, cadmium and total arsenic in the positive relationship. Our findings in this explorative study suggested an inverse association of high urinary Co levels with overweight and obesity. Moreover, metal(loid) mixture exposure may have influence on overweight and obesity with an important contribution of Co in the potential negative effect.</description><identifier>ISSN: 2451-9766</identifier><identifier>EISSN: 2451-9685</identifier><identifier>DOI: 10.1007/s12403-024-00638-4</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Aquatic Pollution ; Arsenic ; Biomarkers ; Body weight ; Cadmium ; Children ; Chromium ; Cobalt ; Creatinine ; Earth and Environmental Science ; Energy intake ; Environment ; Environmental Health ; Epidemiology ; Exercise ; Exposure ; Food ; Guardians ; Metals ; Mixtures ; Obesity ; Original Paper ; Overweight ; PCB ; Physical activity ; Pollution ; Polychlorinated biphenyls ; Primary care ; Questionnaires ; Regression analysis ; Regression models ; Schools ; Statistical analysis ; Urine ; Waste Water Technology ; Water and Health ; Water Management ; Water Pollution Control ; Water Quality/Water Pollution</subject><ispartof>Exposure and health, 2024-12, Vol.16 (6), p.1471-1483</ispartof><rights>The Author(s) 2024</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c314t-758933a5f9968fc79fcb75c833e6fd3d7345c98ba843617dda35591c840329103</cites><orcidid>0000-0003-4601-198X ; 0000-0001-5022-6495 ; 0000-0003-0018-4906 ; 0000-0001-9816-8618 ; 0000-0002-2143-0750</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Salcedo-Bellido, Inmaculada</creatorcontrib><creatorcontrib>Castillo Bueno, Helga</creatorcontrib><creatorcontrib>Olmedo, Pablo</creatorcontrib><creatorcontrib>Gil, Fernando</creatorcontrib><creatorcontrib>Ocaña-Peinado, Francisco M.</creatorcontrib><creatorcontrib>Rodrigo, Lourdes</creatorcontrib><creatorcontrib>Rivas, Ana</creatorcontrib><title>Metal (loid) Exposure and Overweight and Obesity in 6–12-Year-Old Spanish Children</title><title>Exposure and health</title><addtitle>Expo Health</addtitle><description>Epidemiological studies focusing on metal(oid) exposure and excess body weight among children show inconsistent results and the influence of metal(loid) mixtures has been little studied. We aimed to explore the effect of 10 metal(loid)s, individually and in combinations, on overweight and obesity among children aged 6–12. Urinary levels of these metal(oid)s from 92 controls and 51 cases with overweight and obesity were analyzed. Metal(loid) levels were log-transformed and categorized into tertiles according to the control group cutoff points. Two logistic regression models and weighted quantile sum regressions (WQS) were run: model 1 adjusting for age, sex, creatinine, energy intake and physical activity and model 2 additionally adjusting for maternal education, rice and fish consumption. In the single metal(oid) exposure model, there was a trend of significant negative association for urinary cobalt (Co), where children in the third tertile had lower odds of present overweight and obesity than those in the first (Odds Ratio, OR = 0.43; 95% Confidence Interval, CI = 0.20–0.93). Urinary chromium (Cr) levels were borderline-significant negatively associated with overweight and obesity (ORa = 1.70; 95% CI = 0.97–2.98). Molybdemun, Cr and Co had a major contribution to the inverse association between metal(loid) mixture and overweight and obesity as well as lead, cadmium and total arsenic in the positive relationship. Our findings in this explorative study suggested an inverse association of high urinary Co levels with overweight and obesity. Moreover, metal(loid) mixture exposure may have influence on overweight and obesity with an important contribution of Co in the potential negative effect.</description><subject>Aquatic Pollution</subject><subject>Arsenic</subject><subject>Biomarkers</subject><subject>Body weight</subject><subject>Cadmium</subject><subject>Children</subject><subject>Chromium</subject><subject>Cobalt</subject><subject>Creatinine</subject><subject>Earth and Environmental Science</subject><subject>Energy intake</subject><subject>Environment</subject><subject>Environmental Health</subject><subject>Epidemiology</subject><subject>Exercise</subject><subject>Exposure</subject><subject>Food</subject><subject>Guardians</subject><subject>Metals</subject><subject>Mixtures</subject><subject>Obesity</subject><subject>Original Paper</subject><subject>Overweight</subject><subject>PCB</subject><subject>Physical activity</subject><subject>Pollution</subject><subject>Polychlorinated biphenyls</subject><subject>Primary care</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Schools</subject><subject>Statistical analysis</subject><subject>Urine</subject><subject>Waste Water Technology</subject><subject>Water and Health</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Water Quality/Water Pollution</subject><issn>2451-9766</issn><issn>2451-9685</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE1OwzAQhS0EElXpBVhZYgMLg53xT7JEVfmRirqgLFhZbuy0qUIS7BTojjtwQ06CS0DsWM2M9L03Mw-hY0bPGaXqIrCEUyA04YRSCSnhe2iQcMFIJlOx_9srKQ_RKIQ1pZRJwaJqgOZ3rjMVPq2a0p7hyVvbhI132NQWz16cf3XlctX148KFstvissby8_2DJeTRGU9mlcX3ranLsMLjVVlZ7-ojdFCYKrjRTx2ih6vJfHxDprPr2_HllOTAeEeUSDMAI4os3lnkKivyhRJ5CuBkYcEq4CLP0oVJOUimrDUgRMbyNH6bZIzCEJ30vq1vnjcudHrdbHwdV2pgwFkEEx6ppKdy34TgXaFbXz4Zv9WM6l2Aug9QR1h_B6h3IuhFIcL10vk_639UX1FVcQk</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Salcedo-Bellido, Inmaculada</creator><creator>Castillo Bueno, Helga</creator><creator>Olmedo, Pablo</creator><creator>Gil, Fernando</creator><creator>Ocaña-Peinado, Francisco M.</creator><creator>Rodrigo, Lourdes</creator><creator>Rivas, Ana</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-4601-198X</orcidid><orcidid>https://orcid.org/0000-0001-5022-6495</orcidid><orcidid>https://orcid.org/0000-0003-0018-4906</orcidid><orcidid>https://orcid.org/0000-0001-9816-8618</orcidid><orcidid>https://orcid.org/0000-0002-2143-0750</orcidid></search><sort><creationdate>20241201</creationdate><title>Metal (loid) Exposure and Overweight and Obesity in 6–12-Year-Old Spanish Children</title><author>Salcedo-Bellido, Inmaculada ; Castillo Bueno, Helga ; Olmedo, Pablo ; Gil, Fernando ; Ocaña-Peinado, Francisco M. ; Rodrigo, Lourdes ; Rivas, Ana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-758933a5f9968fc79fcb75c833e6fd3d7345c98ba843617dda35591c840329103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aquatic Pollution</topic><topic>Arsenic</topic><topic>Biomarkers</topic><topic>Body weight</topic><topic>Cadmium</topic><topic>Children</topic><topic>Chromium</topic><topic>Cobalt</topic><topic>Creatinine</topic><topic>Earth and Environmental Science</topic><topic>Energy intake</topic><topic>Environment</topic><topic>Environmental Health</topic><topic>Epidemiology</topic><topic>Exercise</topic><topic>Exposure</topic><topic>Food</topic><topic>Guardians</topic><topic>Metals</topic><topic>Mixtures</topic><topic>Obesity</topic><topic>Original Paper</topic><topic>Overweight</topic><topic>PCB</topic><topic>Physical activity</topic><topic>Pollution</topic><topic>Polychlorinated biphenyls</topic><topic>Primary care</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Schools</topic><topic>Statistical analysis</topic><topic>Urine</topic><topic>Waste Water Technology</topic><topic>Water and Health</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><topic>Water Quality/Water Pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Salcedo-Bellido, Inmaculada</creatorcontrib><creatorcontrib>Castillo Bueno, Helga</creatorcontrib><creatorcontrib>Olmedo, Pablo</creatorcontrib><creatorcontrib>Gil, Fernando</creatorcontrib><creatorcontrib>Ocaña-Peinado, Francisco M.</creatorcontrib><creatorcontrib>Rodrigo, Lourdes</creatorcontrib><creatorcontrib>Rivas, Ana</creatorcontrib><collection>SpringerOpen</collection><collection>CrossRef</collection><jtitle>Exposure and health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Salcedo-Bellido, Inmaculada</au><au>Castillo Bueno, Helga</au><au>Olmedo, Pablo</au><au>Gil, Fernando</au><au>Ocaña-Peinado, Francisco M.</au><au>Rodrigo, Lourdes</au><au>Rivas, Ana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metal (loid) Exposure and Overweight and Obesity in 6–12-Year-Old Spanish Children</atitle><jtitle>Exposure and health</jtitle><stitle>Expo Health</stitle><date>2024-12-01</date><risdate>2024</risdate><volume>16</volume><issue>6</issue><spage>1471</spage><epage>1483</epage><pages>1471-1483</pages><issn>2451-9766</issn><eissn>2451-9685</eissn><abstract>Epidemiological studies focusing on metal(oid) exposure and excess body weight among children show inconsistent results and the influence of metal(loid) mixtures has been little studied. We aimed to explore the effect of 10 metal(loid)s, individually and in combinations, on overweight and obesity among children aged 6–12. Urinary levels of these metal(oid)s from 92 controls and 51 cases with overweight and obesity were analyzed. Metal(loid) levels were log-transformed and categorized into tertiles according to the control group cutoff points. Two logistic regression models and weighted quantile sum regressions (WQS) were run: model 1 adjusting for age, sex, creatinine, energy intake and physical activity and model 2 additionally adjusting for maternal education, rice and fish consumption. In the single metal(oid) exposure model, there was a trend of significant negative association for urinary cobalt (Co), where children in the third tertile had lower odds of present overweight and obesity than those in the first (Odds Ratio, OR = 0.43; 95% Confidence Interval, CI = 0.20–0.93). Urinary chromium (Cr) levels were borderline-significant negatively associated with overweight and obesity (ORa = 1.70; 95% CI = 0.97–2.98). Molybdemun, Cr and Co had a major contribution to the inverse association between metal(loid) mixture and overweight and obesity as well as lead, cadmium and total arsenic in the positive relationship. Our findings in this explorative study suggested an inverse association of high urinary Co levels with overweight and obesity. Moreover, metal(loid) mixture exposure may have influence on overweight and obesity with an important contribution of Co in the potential negative effect.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s12403-024-00638-4</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-4601-198X</orcidid><orcidid>https://orcid.org/0000-0001-5022-6495</orcidid><orcidid>https://orcid.org/0000-0003-0018-4906</orcidid><orcidid>https://orcid.org/0000-0001-9816-8618</orcidid><orcidid>https://orcid.org/0000-0002-2143-0750</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2451-9766
ispartof Exposure and health, 2024-12, Vol.16 (6), p.1471-1483
issn 2451-9766
2451-9685
language eng
recordid cdi_proquest_journals_3134184024
source Springer Nature
subjects Aquatic Pollution
Arsenic
Biomarkers
Body weight
Cadmium
Children
Chromium
Cobalt
Creatinine
Earth and Environmental Science
Energy intake
Environment
Environmental Health
Epidemiology
Exercise
Exposure
Food
Guardians
Metals
Mixtures
Obesity
Original Paper
Overweight
PCB
Physical activity
Pollution
Polychlorinated biphenyls
Primary care
Questionnaires
Regression analysis
Regression models
Schools
Statistical analysis
Urine
Waste Water Technology
Water and Health
Water Management
Water Pollution Control
Water Quality/Water Pollution
title Metal (loid) Exposure and Overweight and Obesity in 6–12-Year-Old Spanish Children
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T00%3A21%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Metal%20(loid)%20Exposure%20and%20Overweight%20and%20Obesity%20in%206%E2%80%9312-Year-Old%20Spanish%20Children&rft.jtitle=Exposure%20and%20health&rft.au=Salcedo-Bellido,%20Inmaculada&rft.date=2024-12-01&rft.volume=16&rft.issue=6&rft.spage=1471&rft.epage=1483&rft.pages=1471-1483&rft.issn=2451-9766&rft.eissn=2451-9685&rft_id=info:doi/10.1007/s12403-024-00638-4&rft_dat=%3Cproquest_cross%3E3134184024%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c314t-758933a5f9968fc79fcb75c833e6fd3d7345c98ba843617dda35591c840329103%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3134184024&rft_id=info:pmid/&rfr_iscdi=true