Associations between plasma metal mixture exposure and risk of hypertension

A cross-sectional study among adults in Shenzhen, China

Bibliographic Data

ID22089474
AuthorsSijia Zheng (0000-0001-5801-6302, Shanxi Medical University), Zhiqiang Nie (0000-0001-7642-3286, Guangdong Academy of Medical Sciences), Ziquan Lv (0009-0008-6069-5867, Shenzhen Center for Disease Control and Prevention), Tian Wang (0000-0003-3431-158X, Shenzhen Center for Disease Control and Prevention), Weizhou Wei, Daokui Fang (Shenzhen Center for Disease Control and Prevention), Xuan Zou (0000-0002-2902-3906, Shenzhen Center for Disease Control and Prevention), Yulin Fu (Shenzhen Center for Disease Control and Prevention), Tingting Cao (0000-0003-0051-2287, Shenzhen Center for Disease Control and Prevention), Zhaoyi Liang (Shanxi Medical University), Qi Lu (0000-0002-0385-5712, Shanxi Medical University), Hui Huang (0000-0002-3410-556X, Sun Yat-sen University), Ying Wen (0000-0003-0867-3958, Shenzhen Center for Disease Control and Prevention, corresponding author), Suli Huang (0000-0003-3864-308X, Shanxi Medical University, corresponding author)
Year2022
Volume10
Pages1039514-1039514
Publication date2022-12-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1039514
PMID36582368
OpenAlexW4312138187
LanguageEN
Citations received1
References cited54

Background: Metal exposure affects human health. Current studies mainly focus on the individual health effect of metal exposure on hypertension (HTN), and the results remain controversial. Moreover, the studies assessing overall effect of metal mixtures on hypertension risk are limited. Methods: A cross-sectional study was conducted by recruiting 1,546 Chinese adults who attended routine medical check-ups at the Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen. The plasma levels of 13 metals were measured using inductively coupled plasma mass spectrometry. Multivariate logistic regression model, restricted cubic spline (RCS) model and the Bayesian Kernel Machine Regression (BKMR) model were applied to explore the single and combined effect of metals on the risk of HTN. Results: A total of 642 (41.5%) participants were diagnosed with HTN. In the logistic regression model, the adjusted odds ratios (ORs) were 0.71 (0.52, 0.97) for cobalt, 1.40 (1.04, 1.89) for calcium, 0.66 (0.48, 0.90), and 0.60 (0.43, 0.83) for aluminum in the second and third quartile, respectively. The RCS analysis showed a V-shaped or an inverse V-shaped dose-response relationship between metals (aluminum or calcium, respectively) and the risk of HTN (P for non-linearity was 0.017 or 0.009, respectively). However, no combined effect was found between metal mixture and the risk of hypertension. Conclusions: Plasma levels of cobalt, aluminum and calcium were found to be associated with the risk of HTN. Further studies are needed to confirm our findings and their potential mechanisms with prospective studies and experimental study designs

China · Cross-sectional study · Environmental health · Geography · Pathology · Aluminum toxicity and tolerance in plants and animals · Heavy Metal Exposure and Toxicity · Heavy metals in environment · Medicine

Tools

Open DOIOpen Access