Joint associations among non-essential heavy metal mixtures and nutritional factors on glucose metabolism indexes in US adults: evidence from the NHANES 2011

Joint associations among non-essential heavy metal mixtures and nutritional factors on glucose metabolism indexes in US adults: evidence from the NHANES 2011–2016

Published:2024 Issue:5 Volume:15 Page:2706-2718
ISSN:2042-6496
Container-title:Food & Function
language:en
Short-container-title:Food Funct.

Author:

Chen Xiaolang¹²,Li Peipei¹²,Huang Yuanhao¹²,Lv Yingnan³,Xu Xia¹²,Nong Huiyun¹²,Zhang Lulu³,Wu Huabei⁴,Yu Chao¹²,Chen Lina¹²,Liu Di¹²,Wei Lancheng¹²,Zhang Haiying¹²³^ORCID

Affiliation:

1. Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China

2. Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China

3. Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China

4. School of General Practice, Guangxi Medical University, Nanning 530021, China

Abstract

By using the CVEK model, we identified that a lower E-DII, a lower intake of carbohydrates and phosphorus, and a higher consumption of magnesium seem to attenuate the positive association between metals and glucose metabolism indexes.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Zhuang Autonomous Region

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/FO/D3FO05439J

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