ArticleFrontiers in public health2023
Association and interactions between mixed exposure to trace elements and the prevalence of kidney stones: a study of NHANES 2017-2018.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Environmental cadmium exposure and the risk of kidney stones: a systematic review and dose-response meta-analysis.Frontiers in medicine · 2025Pooled it
- Reference Intervals for Lead, Arsenic, Mercury, and Cadmium in the Population of Southwest China: A Comparative Study of Direct and Indirect Sampling Techniques.Journal of clinical laboratory analysis · 2025Article
- [Exposure to Lead, Arsenic, Mercury, and Cadmium in Populations in Sichuan and Chongqing : A Comparative Study of Reference Intervals Derived From Direct and Indirect Sampling Methods].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- Oxalates: Dietary Oxalates and Kidney Inflammation: A Literature Review.Integrative medicine (Encinitas, Calif.) · 2024Review
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Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The association between exposure to trace elements mixture and the prevalence of kidney stones and the interactions between elements are unclear. The aim of this study was to explore the association between exposure to trace elements mixture and the prevalence of kidney stones and the interactions between the elements. Methods: A total of 1,244 participants (139 kidney stone formers and 1,105 non-stone former participants) in NHANES 2017-2018 were included. The exposure to trace elements was evaluated by measuring their concentration in urine samples. Three methods, Logistic regression, quantile-based g computation (qgcomp), and Bayesian kernel machine regression (BKMR), were used for analysis. Results: According to the results from qgcomp and BKMR, a negative association was found between exposure to the 13 trace elements and the prevalence of kidney stones [OR = 0.50 (0.32, 0.78)]. Subgroup analysis revealed that Co, As, and iodine in the whole population, Co, As, and Ni in males, and Cs, iodine, and Sb in females, were most strongly associated with kidney stones. Kidney stone was found to be positively correlated with Co and negatively correlated with the other elements. Besides, there were significant interactions between Ni and Pb in the whole population, Co and iodine in males, and Pb and iodine in females. Conclusion: There was a negative association between exposure to the mixture of 13 trace elements and the prevalence of kidney stones.
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