Evidence map›Paper›PMID 34733334›Full record

ArticleJournal of environmental and public health2021

The Associations between Blood and Urinary Concentrations of Metal Metabolites, Obesity, Hypertension, Type 2 Diabetes, and Dyslipidemia among US Adults: NHANES 1999-2016.

Sarah Swayze, Michael Rotondi, Jennifer L Kuk

Open access · hybridAbstract read
In one paragraph

Article in Journal of environmental and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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 · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
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  16. Article
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  18. Article
  19. Observational
  20. Correlation of Obesity and Overweight with Cervical Vascular Function Among Healthy Populations.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Sarah SwayzeSchool of Kinesiology and Health Science, York University, Toronto M3J 1P3, Canada.
Michael RotondiSchool of Kinesiology and Health Science, York University, Toronto M3J 1P3, Canada.ORCID 0000-0003-0895-5752
Jennifer L KukSchool of Kinesiology and Health Science, York University, Toronto M3J 1P3, Canada.ORCID 0000-0002-3425-6149
York University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heavy metals are well known to be associated with cancer outcomes, but its association with obesity and cardiometabolic risk outcomes requires further study. Methods: Adult data from the National Health and Examination Survey (NHANES Continuous 1999-2016, Results: Blood lead had a negative linear association with obesity (odds ratio (OR)  = 0.42, 95% confidence interval (CI) = 0.37-0.47). In those with obesity, high blood lead was associated with lower risk of prevalent dyslipidemia, while no association was found in those without obesity. The study observed a curvilinear relationship between urinary antimony and obesity with the moderate group having the highest odds of obesity (OR = 1.36, 1.16-1.59). However, the relationship between urinary antimony and prevalent hypertension and dyslipidemia risk was linear, positive, and independent of obesity. While not associated with prevalent obesity risk, high urinary uranium was associated with 30% ( Conclusions: The impact of environmental factors on obesity and health may be complex, and this study reinforces the heterogeneous relationship between various metals, obesity, and obesity-related metabolic diseases even at levels observed in the general population.

Indexed as

Diabetes Mellitus, Type 2DyslipidemiasHypertensionMetals, HeavyAdultHumansLogistic ModelsNutrition SurveysObesityRisk FactorsMetals, Heavy

Identifiers

PMID34733334
PMCPMC8560296
OpenAlexW3208489463

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.