Evidence map›Paper›PMID 42854029›Full record

ArticleMedicine2026

Heavy metal exposures and constipation among United States adults: A cross-sectional study.

Huanhuan Lin, Shijian Wang

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Huanhuan LinDepartment of Gastroenterology, The Second People's Hospital of Lianyungang & The Oncology Hospital of Lianyungang, Lianyungang, Jiangsu Province, China.
Shijian WangDepartment of Laboratory Medicine, Xuwei New District People's Hospital, Lianyungang, Jiangsu Province, China.ORCID 0009-0004-0855-323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Constipation is a common gastrointestinal disorder that can substantially impair quality of life. Environmental exposure to heavy metals has been implicated in gastrointestinal dysfunction; however, population-based evidence regarding their associations with constipation remains limited. This study aimed to evaluate the associations of blood lead, mercury, and cadmium levels with constipation among US adults. This cross-sectional study used data from the National Health and Nutrition Examination Survey (NHANES) 2005-2010 and included 11,014 adults aged ≥20 years. Survey-weighted multivariable logistic regression models were constructed, with metal levels analyzed as log-transformed continuous variables and quartile categories based on the original concentrations. Restricted cubic spline (RCS) analyses were performed to assess dose-response relationships. Subgroup analyses, interaction tests, and sensitivity analyses were also conducted. In the fully adjusted model, blood lead and mercury levels were each significantly inversely associated with constipation. Each 1-unit increase in log-transformed blood lead was associated with 50.4% lower odds of constipation (OR = 0.496, 95% confidence interval [CI]: 0.331-0.745), whereas each 1-unit increase in log-transformed blood mercury was associated with 29.9% lower odds (OR = 0.701, 95% CI: 0.542-0.905). Blood cadmium showed no significant association. RCS analyses further confirmed linear inverse associations of both lead and mercury with constipation, whereas no significant association was identified for cadmium. A significant interaction was identified between educational level and the association between blood lead and constipation (P for interaction = .04). The sensitivity analyses yielded generally consistent results. Blood lead and mercury levels were significantly and linearly inversely associated with constipation among US adults, whereas blood cadmium showed no significant association. Educational attainment may modify the association between blood lead exposure and constipation. Further prospective and mechanistic studies are needed to clarify the nature and underlying mechanisms of these associations.

Indexed as

ConstipationEnvironmental ExposureMetals, HeavyAdultCadmiumCross-Sectional StudiesFemaleHumansLeadMaleMercuryMiddle AgedNutrition SurveysUnited StatesCadmiumLeadMercuryMetals, Heavycadmiumconstipationheavy metalsleadmercuryNHANES

Identifiers

PMID42854029
PMCPMC13657621

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Registered trials

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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.