ReviewFrontiers in public health2024
A review of common statistical methods for dealing with multiple pollutant mixtures and multiple exposures.
Review in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Association between metal co-exposure and frailty: exploring the potential explanatory pathway of inflammation.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026Article
- Practical considerations for characterization of the external exposome in Alzheimer's disease and related dementias cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Per- and Polyfluoroalkyl Substances and Papillary Thyroid Carcinoma: An Integrative Study of Bioinformatics, Epidemiological Associations, and In Vitro Responses.International journal of molecular sciences · 2026Article
- Environmental Mixture-Health Associations: Current Analytical Practice and Reporting Recommendations.China CDC weekly · 2026Article
- Short-term effects and attributable burden of ambient volatile organic compound mixtures on pediatric atopic dermatitis and asthma in Seoul.Journal of exposure science & environmental epidemiology · 2026Article
- Beyond Screen Time: A Measurement Framework for Behavioral Exposures in Childhood Myopia.Life (Basel, Switzerland) · 2026Review
- Development of a Biology-Informed Chemical Mixture Index for Oxidative Stress and Mortality in NHANES 2005-2010: A Survey-Weighted Quantile G-Computation Approach.medRxiv : the preprint server for health sciences · 2026Article
- Atmospheric stressors and kidney diseases.Nature reviews. Nephrology · 2026Review
- Investigating the Association Between Volatile Organic Compounds and Preterm Birth in Detroit, Michigan: Protocol for the Center for Leadership in Environmental Awareness and Research Birth Cohort Study.JMIR research protocols · 2026Article
- Agricultural pesticide use and Alzheimer's disease dementia prevalence across US counties in a mixed supervised-unsupervised analysis.Scientific reports · 2026Article
- A Practical Framework for Incorporating Complex Survey Design in Bayesian Kernel Machine Regression.Stats · 2026Article
- Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite Data.Environmental science & technology · 2026Article
- Subgroup analyses and effect modification with Bayesian kernel machine regression.American journal of epidemiology · 2026Article
- Trimester-specific exposure to PMBMC pregnancy and childbirth · 2026Article
- Exposure to phthalate and phenol mixtures and obesity in children and adolescents: the dominant role of bisphenol A.Lipids in health and disease · 2026Article
- Health risk assessment of air pollution in Xinjiang, Northwest China.Scientific reports · 2026Article
- Statistical approaches to analyse the combined effect of seven air pollutants and breast cancer risk: a case-control study nested in the French E3N-Generations cohort.BMC medicine · 2026Article
- Outdoor Air Pollution Is Related to Amygdala Subregion Volume and Apportionment in Early Adolescence.Biological psychiatry global open science · 2025Article
- Integrative Modeling of Urinary Metabolomics and Metal Exposure Reveals Systemic Impacts of Electronic Waste in Exposed Populations.Metabolites · 2025Article
- Combined Effect of Metals, PFAS, Phthalates, and Plasticizers on Cardiovascular Disease Risk.Toxics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional environmental epidemiology has consistently focused on studying the impact of single exposures on specific health outcomes, considering concurrent exposures as variables to be controlled. However, with the continuous changes in environment, humans are increasingly facing more complex exposures to multi-pollutant mixtures. In this context, accurately assessing the impact of multi-pollutant mixtures on health has become a central concern in current environmental research. Simultaneously, the continuous development and optimization of statistical methods offer robust support for handling large datasets, strengthening the capability to conduct in-depth research on the effects of multiple exposures on health. In order to examine complicated exposure mixtures, we introduce commonly used statistical methods and their developments, such as weighted quantile sum, bayesian kernel machine regression, toxic equivalency analysis, and others. Delineating their applications, advantages, weaknesses, and interpretability of results. It also provides guidance for researchers involved in studying multi-pollutant mixtures, aiding them in selecting appropriate statistical methods and utilizing R software for more accurate and comprehensive assessments of the impact of multi-pollutant mixtures on human health.
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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.