ArticleFrontiers in public health2022
Associations between plasma metal mixture exposure and risk of hypertension: A cross-sectional study among adults in Shenzhen, China.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 22 citations in OpenAlex.
- Association between Serum Metal Levels and Blood Pressure in Aluminium Smelting Workers: Mediating Role of Gamma-Glutamyltransferase.Biological trace element research · 2026Article
- The association of multiple whole blood metals with hypertension prevalence and blood pressure among general Chinese adults.Nutrition journal · 2026Article
- Effect of combined exposure to lead, mercury, and cadmium on hypertension: The 2008-2013 Korean National Health and Nutrition Examination Surveys.International journal of occupational medicine and environmental health · 2025Article
- The interpretable machine learning model for depression associated with heavy metals via EMR mining method.Scientific reports · 2025Article
- Effects of Various Heavy Metal Exposures on Insulin Resistance in Non-diabetic Populations: Interpretability Analysis from Machine Learning Modeling Perspective.Biological trace element research · 2024Article
- Exposure to toxic chemical elements among people living with HIV/AIDS in Northern Tanzania.Environmental research · 2024Article
- Assessment of EMR ML Mining Methods for Measuring Association between Metal Mixture and Mortality for Hypertension.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024Article
- The interpretable machine learning model associated with metal mixtures to identify hypertension via EMR mining method.Journal of clinical hypertension (Greenwich, Conn.) · 2024Article
- Association between different composite dietary antioxidant indexes and low back pain in American women adults: a cross-sectional study from NHANES.BMC public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.