Evidence map›Paper›PMID 41233417›Full record

ArticleScientific reports2025

Geographical variations in metal exposure and metabolic disorders in Chile using an exposome approach.

Patricia Matus, Alejandro Sepúlveda-Peñaloza, Cinthya Urquidi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Patricia MatusDepartment of Public Health and Epidemiology, Universidad de los Andes, Santiago, Chile.ORCID http://orcid.org/0000-0003-1844-6564
Alejandro Sepúlveda-PeñalozaDepartment of Public Health and Epidemiology, Universidad de los Andes, Santiago, Chile.ORCID http://orcid.org/0000-0001-7047-0882
Cinthya UrquidiDepartment of Public Health and Epidemiology, Universidad de los Andes, Santiago, Chile. curquidi@uandes.cl.ORCID http://orcid.org/0000-0002-0804-939X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to metals may disrupt metabolic pathways, contributing to metabolic disorders. Local environmental factors may modulate these effects, emphasizing the importance of territorial disaggregation. This population-based study evaluated geographic variations in exposure to four metals and their associations with obesity, diabetes, metabolic syndrome, and hypertension in Chile. Data from 3,822 participants in the National Health Survey (2016-17) were analyzed. Biomarkers included inorganic arsenic (As), cadmium (Cd), mercury (Hg) in urine, and lead (Pb) in serum. Metal exposure categories were defined according to the median (50th percentile) distribution, contrasting participants above versus below this threshold. Associations between metal exposure and comorbidities were estimated using: (i) survey-weighted models with post-stratification by sex and region, (ii) spatial autoregressive (SAR) models to account for geographical dependencies across regions, and (iii) Bayesian multilevel generalized linear models that incorporated sampling design and regional correlations. 42.4% of individuals were exposed to As, 13.6% to Pb, and 1.7% to Hg and Cd. Elevated As exposure was observed in northern areas, with lead exposure peaking at 29.9%. Adjusted models showed no associations at the national level. However, geographical disaggregation showed that As exposure was linked to obesity across most areas, and to diabetes and metabolic syndrome in the northern and central zones. Hg was associated with all conditions in the central macrozone, whereas Cd exposure was linked to diabetes in the southern. These findings underscore critical regional differences in metal exposure and metabolic disorders, highlighting the need for geographically targeted public health interventions considering an exposome-based approach.

Indexed as

Environmental ExposureExposomeMetabolic DiseasesMetalsAdultAgedArsenicBiomarkersCadmiumChileDiabetes MellitusFemaleHumansLeadMaleMercuryArsenicBiomarkersCadmiumLeadMercuryMetalsExposomeGeographical variationHypertensionMetabolic disordersMetal exposureTerritorial disaggregation.

Identifiers

PMID41233417
PMCPMC12615788

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.