Evidence map›Paper›PMID 38827609›Full record

ArticleFrontiers in public health2024

Sex-specific associations of urinary mixed-metal concentrations with femoral bone mineral density among older people: an NHANES (2017-2020) analysis.

Hecheng Li, Guoliang Li, Mushi Yi, Jiazhen Zhou, Yaotang Deng, Yiqi Huang, Shuirong He, Xiaojing Meng, Lili Liu

Abstract read
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Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Hecheng LiSchool of Public Health, Southern Medical University, Guangzhou, China.
Guoliang LiDepartment of Toxicology, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Mushi YiSchool of Public Health, Southern Medical University, Guangzhou, China.
Jiazhen ZhouDepartment of Toxicology, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Yaotang DengDepartment of Toxicology, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Yiqi HuangSchool of Public Health, Guangzhou Medical University, Guangzhou, China.
Shuirong HeSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Xiaojing MengSchool of Public Health, Southern Medical University, Guangzhou, China.
Lili LiuSchool of Public Health, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heavy metal exposure is an important cause of reduced bone mineral density (BMD). Epidemiological studies focusing on the effects of mixed heavy metal exposure on BMD in middle-aged and older people are scarce. In single-metal studies, men and women have shown distinct responses of BMD to environmental metal exposure. This study therefore aimed to elucidate the association between mixed heavy metal exposure and BMD and to investigate whether it is sex-specific. Methods: Data from the 2017-2020 National Health and Nutrition Examination Survey were selected for this cross-sectional study. The study used three statistical methods, i.e., linear regression, Bayesian kernel machine regression (BKMR) modeling, and weighted quartiles (WQS) regression, to explore the association between the urinary concentrations of 11 metals (barium, cadmium, cobalt, cesium, manganese, molybdenum, lead, antimony, tin, thallium, and Tungsten), either individually or as a mixture, and total femoral BMD. Results: A total of 1,031 participants were included in this study. Femoral BMD was found to be higher in men than women. A significant negative correlation between the urinary concentrations of the 10 metals and femoral BMD was found in the overall cohort. Further gender sub-stratified analyses showed that in men, urinary metal concentrations were negatively correlated with femoral BMD, with cobalt and barium playing a significant and non-linear role in this effect. In women, although urinary metal concentrations negatively modulated femoral BMD, none of the correlations was statistically significant. Antimony showed sex-specific differences in its effect. Conclusion: The urinary concentrations of 10 mixed heavy metals were negatively correlated with femoral BMD in middle-aged and older participants, and this effect showed gender differences. These findings emphasize the differing role of mixed metal exposure in the process of BMD reduction between the sexes but require further validation by prospective studies.

Indexed as

Bone DensityFemurMetals, HeavyNutrition SurveysAgedAged, 80 and overBayes TheoremCross-Sectional StudiesEnvironmental ExposureFemaleHumansMaleMiddle AgedSex FactorsMetals, HeavyBKMRbone mineral densitymiddle-aged and older populationNHANESurinary metal mixtureWQS regression

Identifiers

PMID38827609
PMCPMC11140033

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