ArticleBiological trace element research2022
The Effect of Mixture of Heavy Metals on Obesity in Individuals ≥50 Years of Age.
Article in Biological trace element research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 78 citations in OpenAlex.
- Associations of blood and urinary heavy metals with obesity risk among children: NHANES 2015-2020.Pediatric research · 2026Article
- Association of heavy metal mixtures with liver function biomarkers: multi-model analysis identifies cadmium as the primary driver.Frontiers in public health · 2026Article
- Association Between Heavy Metals Exposure and Elevated High-Sensitivity C-Reactive Protein: Mediating Role of Body Mass Index.Biomolecules · 2025Article
- Metal mixtures and adiposity indicators in women from Northern Mexico.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025Article
- Article
- Elucidation of toxic effects of 1,2-diacetylbenzene: an in silico study.Forensic toxicology · 2025Article
- Article
- The association between heavy metal exposure and obesity: A systematic review and meta-analysis.Journal of diabetes and metabolic disorders · 2024Review
- Associations Between Individual and Combined Metal Exposures in Whole Blood and Kidney Function in U.S. Adults Aged 40 Years and Older.Biological trace element research · 2024Article
- Associations of dichlorophenol with metabolic syndrome based on multivariate-adjusted logistic regression: a U.S. nationwide population-based study 2003-2016.Environmental health : a global access science source · 2023Article
- Association between Heavy Metals, Metalloids and Metabolic Syndrome: New Insights and Approaches.Toxics · 2023Review
- Exposure to Metal Mixtures and Overweight or Obesity Among Chinese Adults.Biological trace element research · 2023Article
- Roles of mixed nutrient intakes on metabolic syndrome among korean adults 19-80 years old: molecular mechanisms involved.Journal of diabetes and metabolic disorders · 2023Article
- Mercury exposure is associated with obesity: a systematic review and meta-analysis.Korean journal of community nutrition · 2023Review
- Urinary phytoestrogens and the risk of uterine leiomyomata in US women.BMC women's health · 2023Article
- Vanadium, cobalt, zinc, and rubidium are associated with markers of inflammation and oxidative stress in a Greek population with obesity.Frontiers in endocrinology · 2023Article
- Single and combined associations of blood lead and essential metals with serum lipid profiles in community-dwelling adults.Frontiers in nutrition · 2023Article
- Modifiable contributing factors to COVID-19: A comprehensive review.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2023Review
- Associations between blood essential metal mixture and serum uric acid: a cross-sectional study.Frontiers in public health · 2023Article
- Joint Associations of Food Groups with All-Cause and Cause-Specific Mortality in the Mr. OS and Ms. OS Study: A Prospective Cohort.Nutrients · 2022Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Little is known about the association between a mixture of heavy metals and obesity among individuals ≥50 years of age with comorbidities. Thus, we identified the associations of serum cadmium (Cd), lead (Pb), and mercury (Hg) with obesity using linear regression models; weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) were conducted as secondary analyses. Of the 6434 subjects included in the analysis, 13.8% had obesity and 44.6% had abdominal obesity. In the logistic regression model, serum Hg was associated with obesity and abdominal obesity, and significant trends were observed for these heavy metal tertiles (p < 0.001). Serum Hg levels were also associated with body mass index (BMI) and waist circumference (WC). The WQS index was significantly associated with both obesity (OR = 1.43, 95% CI: 1.40-1.46) and abdominal obesity (β = 1.51, 95% CI: 1.48-1.54). The qgcomp index also found a significant association between heavy metals and both obesity (OR = 1.35, 95% CI: 1.12-1.63) and abdominal obesity (OR = 1.34, 95% CI: 1.12-1.60). Serum Hg was the most heavily weighed heavy metal in these models. In BKMR analysis, the overall effect of the mixture was significantly associated with obesity, BMI, and WC. Serum Hg showed positive trends and was observed as the most important factor associated with obesity, BMI, and WC. Our findings were largely robust to secondary analyses that used three novel mixture modeling approaches: WQS, qpcomp, and BKMR. Given increasing exposure to heavy metals, well-characterized cohorts of individuals aged ≥50 years are required to determine the mixed effects of heavy metals on obesity and related diseases.
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