Evidence map›Paper›PMID 29030686›Full record

ArticleInternational archives of occupational and environmental health2018

Blood mercury concentration in relation to metabolic and weight phenotypes using the KNHANES 2011-2013 data.

Kayoung Lee

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Article in International archives of occupational and environmental health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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17citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  15. Methylmercury Induces Metabolic Alterations in Caenorhabditis elegans: Role for C/EBP Transcription Factor.Toxicological sciences : an official journal of the Society of Toxicology · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Kayoung LeeDepartment of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, 75 Bokjiro, Busan Jin-Gu, Busan, 47392, South Korea. kayoung.fmlky@gmail.com.ORCID http://orcid.org/0000-0002-2816-554X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe assessed the association of blood mercury concentration with metabolic and weight phenotypes.

methodsBlood mercury concentration, metabolic syndrome components, and body mass index (BMI) were measured in 6006 Korean adults (2963 men, 3043 women, mean age 44.7 ± 14.7 years), using the 2011-2013 Korean National Health and Nutrition Examination Survey data. Metabolic and weight phenotypes were classified based on BMI and metabolic syndrome (MetS) presence as metabolically healthy and normal weight (MHNW), metabolically unhealthy and normal weight (MUNW), metabolically healthy and obese (MHO), and metabolically unhealthy and obese (MUO).

resultsThe geometric mean of blood mercury concentration was 3.37 μg/L (95% CI 3.32-3.43). A higher quartile of blood mercury concentration was associated with older age, male sex, higher education, alcohol use, current smoking, low physical activity, greater energy intake, and hypertension history. After adjusting for confounding factors (age, sex, education, income, health behaviors, and energy intake), blood mercury concentration tended to increase across the MHNW, MUNW, MHO, and MUO groups in all subjects and each sex (P for trend < 0.01). Compared to the lowest mercury quartile group, adjusted odds ratios (95% CI) for MHO and MUO in those with the highest mercury quartile were, respectively, 1.67 (1.34, 2.09) and 2.02 (1.59, 2.56) in all subjects: 1.58 (1.25, 1.99) and 1.72 (1.37, 2.16) for men; 1.33 (0.94, 1.88) and 1.90 (1.34, 2.70) for women.

conclusionsBlood mercury concentration was associated with both metabolic syndrome and obesity, and the association was dose dependent across metabolic and weight phenotypes.

Indexed as

AdultAge DistributionAlcohol DrinkingBody Mass IndexCross-Sectional StudiesDietDose-Response Relationship, DrugExerciseFemaleHumansHypertensionLife StyleMaleMercuryMetabolic SyndromeMiddle AgedMercuryBlood mercuryMetabolic syndromeObesityPhenotype

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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.