Relationship between phthalates exposures and hyperuricemia in U.S. general population, a multi-cycle study of NHANES 2007–2016

Phthalates exposure might cause kidney damage and a potential risk for hyperuricemia. However, direct evidence on phthalates and hyperuricemia is somewhat limited. To examine associations between 10 phthalates metabolites and hyperuricemia in a large-scale representative of the U.S. population. A cr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Science of the total environment 2023-02, Vol.859 (Pt 1), p.160208, Article 160208
Hauptverfasser: Tan, Yuxuan, Fu, Yingyin, Yao, Huojie, Wu, Xiaomei, Yang, Zhiyu, Zeng, Huixian, Zeng, Zurui, Liang, Huanzhu, Li, Yexin, Jing, Chunxia
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Phthalates exposure might cause kidney damage and a potential risk for hyperuricemia. However, direct evidence on phthalates and hyperuricemia is somewhat limited. To examine associations between 10 phthalates metabolites and hyperuricemia in a large-scale representative of the U.S. population. A cross-sectional study of 6865 participants aged over 20 from NHANES 2007–2016 was performed. All participants had complete data on ten phthalate metabolites (MECPP, MnBP, MEHHP, MEOHP, MiBP, cx-MiNP, MCOP, MCPP, MEP, MBzP), hyperuricemia, and covariates. We used multivariable logistics regression, restricted cubic splines (RCS) model, and Bayesian kernel machine regression (BKMR) models to assess single, nonlinear, and mixed relationships between phthalate metabolites and hyperuricemia. As a complement, we also assessed the relationship between phthalate metabolites and serum uric acid (SUA) levels. The multivariable logistics regression showed that MECPP, MEOHP, MEHHP, MBzP, and MiBP were generally positively associated with hyperuricemia (PFDR < 0.05), especially in MiBP (Q3 (OR (95 %): 1.31 (1.02, 1.68)) and Q4 (OR (95 %): 1.68 (1.27, 2.24)), compared to Q1). All ten phthalate metabolites had a linear dose-response relationship with hyperuricemia in the RCS model (P for non-linear >0.05). BKMR showed that mixed phthalate metabolites were associated with a higher risk of hyperuricemia, with MBzP contributing the most (groupPIP = 0.999, condPIP = 1.000). We observed the consistent results between phthalate metabolites and SUA levels in three statistical models. The relationship between phthalate metabolites and hyperuricemia remained in the sensitivity analysis. The present study suggests that exposure to phthalates, individually or jointly, might increase the risk of hyperuricemia. Since hyperuricemia influences on the quality of life, more explorations are needed to confirm these findings. [Display omitted] •We accessed the associations between phthalate metabolites and hyperuricemia from NHANES.•Logistic regression, RCS, and BKMR were used to reveal the effects of phthalate metabolites.•MECPP, MEOHP, MEHHP, MBzP, and MiBP were positively associated with hyperuricemia.•Phthalates mixture may be a risk factor for hyperuricemia.
ISSN:0048-9697
1879-1026
DOI:10.1016/j.scitotenv.2022.160208