ArticleEnvironmental health : a global access science source2020
Using three statistical methods to analyze the association between exposure to 9 compounds and obesity in children and adolescents: NHANES 2005-2010.
Article in Environmental health : a global access science source, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- Prenatal exposure to phthalate and decreased body mass index of children: a systematic review and meta-analysis.Scientific reports · 2022Pooled it
- An Exploration of Machine Learning Methods in Human Biomonitoring.International journal of environmental research and public health · 2026Review
- Exposure to phthalate and phenol mixtures and obesity in children and adolescents: the dominant role of bisphenol A.Lipids in health and disease · 2026Article
- Economic drivers and systemic disparities in invasive coronary angiography: Insights from a national claims database.PloS one · 2026Article
- Prenatal and childhood exposures to heavy metals and their associations with child cognition, motor skills, behaviour and mental health.Essays in biochemistry · 2025Review
- Prenatal Phthalate Exposures and Adiposity Outcomes Trajectories: A Multivariate Bayesian Factor Regression Approach.International journal of environmental research and public health · 2025Article
- Hidden link between endocrine-disrupting chemicals and pediatric obesity.Clinical and experimental pediatrics · 2025Article
- Association of iron status with visual field loss in US females: data from national health and nutrition examination survey (NHANES) 2005-2008.BMC public health · 2025Article
- Association between dietary inflammatory index and visual impairment among adults in the NHANES 2005-2008.Scientific reports · 2024Article
- Power Analysis of Exposure Mixture Studies via Monte Carlo Simulations.Statistics in biosciences · 2024Article
- Fetal and Infancy Exposure to Phenols, Parabens, and Phthalates and Anthropometric Measurements up to 36 Months, in the Longitudinal SEPAGES Cohort.Environmental health perspectives · 2024Article
- The Role of Endocrine Disruptors Bisphenols and Phthalates in Obesity: Current Evidence, Perspectives and Controversies.International journal of molecular sciences · 2024Review
- Associations of urinary caffeine metabolites with sex hormones: comparison of three statistical models.Frontiers in nutrition · 2024Article
- Parabens Promote Protumorigenic Effects in Luminal Breast Cancer Cell Lines With Diverse Genetic Ancestry.Journal of the Endocrine Society · 2023Article
- Associations of metal mixtures with metabolic-associated fatty liver disease and non-alcoholic fatty liver disease: NHANES 2003-2018.Frontiers in public health · 2023Article
- Single and Combined Associations of Plasma and Urine Essential Trace Elements (Zn, Cu, Se, and Mn) with Cardiovascular Risk Factors in a Mediterranean Population.Antioxidants (Basel, Switzerland) · 2022Article
- Dietary correlates of urinary phthalate metabolite concentrations in 6-19 Year old children and adolescents.Environmental research · 2022Article
- Article
- Prenatal Exposure to Mixtures of Phthalates, Parabens, and Other Phenols and Obesity in Five-Year-Olds in the CHAMACOS Cohort.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVarious risk factors influence obesity differently, and environmental endocrine disruption may increase the occurrence of obesity. However, most of the previous studies have considered only a unitary exposure or a set of similar exposures instead of mixed exposures, which entail complicated interactions. We utilized three statistical models to evaluate the correlations between mixed chemicals to analyze the association between 9 different chemical exposures and obesity in children and adolescents.
methodsWe fitted the generalized linear regression, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) to analyze the association between the mixed exposures and obesity in the participants aged 6-19 in the National Health and Nutrition Examination Survey (NHANES) 2005-2010.
resultsIn the multivariable logistic regression model, 2,5-dichlorophenol (2,5-DCP) (OR (95% CI): 1.25 (1.11, 1.40)), monoethyl phthalate (MEP) (OR (95% CI): 1.28 (1.04, 1.58)), and mono-isobutyl phthalate (MiBP) (OR (95% CI): 1.42 (1.07, 1.89)) were found to be positively associated with obesity, while methylparaben (MeP) (OR (95% CI): 0.80 (0.68, 0.94)) was negatively associated with obesity. In the multivariable linear regression, MEP was found to be positively associated with the body mass index (BMI) z-score (β (95% CI): 0.12 (0.02, 0.21)). In the WQS regression model, the WQS index had a significant association (OR (95% CI): 1.48 (1.16, 1.89)) with the outcome in the obesity model, in which 2,5-DCP (weighted 0.41), bisphenol A (BPA) (weighted 0.17) and MEP (weighted 0.14) all had relatively high weights. In the BKMR model, despite no statistically significant difference in the overall association between the chemical mixtures and the outcome (obesity or BMI z-score), there was nonetheless an increasing trend. 2,5-DCP and MEP were found to be positively associated with the outcome (obesity or BMI z-score), while fixing other chemicals at their median concentrations.
conclusionComparing the three statistical models, we found that 2,5-DCP and MEP may play an important role in obesity. Considering the advantages and disadvantages of the three statistical models, our study confirms the necessity to combine different statistical models on obesity when dealing with mixed exposures.
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