Joint effect of whole blood metals exposure with dyslipidemia in representative US adults in NHANES 2011–2020

• Published in: Environmental science and pollution research international 2023-09, Vol.30 (42), p.96604-96616
• Main Authors: Liang, Jing-hong, Pu, Ying-qi, Liu, Mei-ling, Hu, Li-xin, Bao, Wen-wen, Zhang, Yu-shan, Kakaer, Aerziguli, Zhao, Yu, Chen, Yi-can, Pu, Xue-ya, Huang, Shao-yi, Jiang, Nan, Huang, Shan, Dong, Guang-hui, Chen, Ya-jun
• Format: Article
• Language: English
• Subjects: Adult; Adults; Aged; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Bayes Theorem; Bayesian analysis; Blood; Cadmium; Cross-Sectional Studies; Dyslipidemia; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Exposure; Female; Heavy metals; Humans; Inductively coupled plasma mass spectrometry; Lead; Manganese; Mass spectrometry; Mass spectroscopy; Mercury; Mercury (metal); Metabolic disorders; Metals; Metals, Heavy; Middle Aged; Nutrition Surveys; Physical activity; Research Article; Selenium; Surveys; Waste Water Technology; Water Management; Water Pollution Control
• ISSN: 1614-7499; 0944-1344; 1614-7499
• DOI: 10.1007/s11356-023-28903-0

With little knowledge on the joint effects of metal exposure on dyslipidemia, we aimed to investigate the relationship between exposure to metal and dyslipidemia among US adults based on the National Health and Nutrition Examination Survey (NHANES). Based on the five NHANES waves (2011–2020), we selected five metals in blood as exposure, namely, cadmium (Cd), lead (Pb), total mercury (Hg), manganese (Mn), and selenium (Se), which were detected by inductively coupled plasma mass spectrometry. Survey-multivariable logistic regression, generalized weighted quantile sum (WQS), and Bayesian kernel machine regression (BKMR) were performed to determine whether dyslipidemia was associated with single metals or mixed metals. Our study included 12,526 participants aged from 20 to 80, representing 577.1 million non-institutionalized US adults. We found a positive association between several metals including Pb [adjusted odds ratio (AOR) = 1.332, 95%CI: 1.165, 1.522], total Hg (AOR = 1.264, 95%CI: 1.120, 1.427), Mn (AOR = 1.181, 95%CI: 1.046, 1.334), and Se (AOR = 1.771, 95%CI: 1.576, 1.992) and dyslipidemia. According to the WQS approach, metal mixtures were positively associated with dyslipidemia (AOR: 1.310, 95%CI: 1.216, 1.411) after a full-model adjustment. As is shown in the BKMR model, mixed metals tended to be positively associated with dyslipidemia ratios in a significant manner. Females, non-Hispanic White populations, people aged over 60, and those who did a little physical activity had a greater risk for dyslipidemia. Our findings suggest metals including Cd, Pb, Hg, Mn, and Se and their combinations may adversely affect dyslipidemia among US adults. Due to the cross-sectional nature of the study, it is possible that reverse causation may exist.