PMID- 36400295
OWN - NLM
STAT- MEDLINE
DCOM- 20221216
LR  - 20221221
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 859
IP  - Pt 1
DP  - 2023 Feb 10
TI  - Relationship between phthalates exposures and hyperuricemia in U.S. general 
      population, a multi-cycle study of NHANES 2007-2016.
PG  - 160208
LID - S0048-9697(22)07308-9 [pii]
LID - 10.1016/j.scitotenv.2022.160208 [doi]
AB  - BACKGROUND: Phthalates exposure might cause kidney damage and a potential risk 
      for hyperuricemia. However, direct evidence on phthalates and hyperuricemia is 
      somewhat limited. OBJECTIVE: To examine associations between 10 phthalates 
      metabolites and hyperuricemia in a large-scale representative of the U.S. 
      METHODS: 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. 
      RESULTS: The multivariable logistics regression showed that MECPP, MEOHP, MEHHP, 
      MBzP, and MiBP were generally positively associated with hyperuricemia (P(FDR) < 
      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. 
      CONCLUSIONS: 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.
CI  - Copyright (c) 2022 Elsevier B.V. All rights reserved.
FAU - Tan, Yuxuan
AU  - Tan Y
AD  - Department of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu 
      Ave West, Guangzhou 510632, Guangdong, China.
FAU - Fu, Yingyin
AU  - Fu Y
AD  - Department of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu 
      Ave West, Guangzhou 510632, Guangdong, China.
FAU - Yao, Huojie
AU  - Yao H
AD  - Department of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu 
      Ave West, Guangzhou 510632, Guangdong, China.
FAU - Wu, Xiaomei
AU  - Wu X
AD  - Department of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu 
      Ave West, Guangzhou 510632, Guangdong, China.
FAU - Yang, Zhiyu
AU  - Yang Z
AD  - Department of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu 
      Ave West, Guangzhou 510632, Guangdong, China.
FAU - Zeng, Huixian
AU  - Zeng H
AD  - Department of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu 
      Ave West, Guangzhou 510632, Guangdong, China.
FAU - Zeng, Zurui
AU  - Zeng Z
AD  - Department of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu 
      Ave West, Guangzhou 510632, Guangdong, China.
FAU - Liang, Huanzhu
AU  - Liang H
AD  - Department of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu 
      Ave West, Guangzhou 510632, Guangdong, China.
FAU - Li, Yexin
AU  - Li Y
AD  - Department of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu 
      Ave West, Guangzhou 510632, Guangdong, China.
FAU - Jing, Chunxia
AU  - Jing C
AD  - Department of Epidemiology, School of Medicine, Jinan University, No.601 Huangpu 
      Ave West, Guangzhou 510632, Guangdong, China; Guangdong Key Laboratory of 
      Environmental Exposure and Health, Jinan University, Guangzhou 510632, Guangdong, 
      China. Electronic address: jcxphd@gmail.com.
LA  - eng
PT  - Journal Article
DEP - 20221115
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
RN  - 6O7F7IX66E (phthalic acid)
RN  - 0 (Environmental Pollutants)
RN  - 268B43MJ25 (Uric Acid)
RN  - 0 (Phthalic Acids)
SB  - IM
MH  - Humans
MH  - Adult
MH  - Nutrition Surveys
MH  - *Environmental Pollutants/analysis
MH  - Cross-Sectional Studies
MH  - Quality of Life
MH  - Bayes Theorem
MH  - Uric Acid/analysis
MH  - *Phthalic Acids/metabolism
MH  - Environmental Exposure/analysis
OTO - NOTNLM
OT  - BKMR (Bayesian kernel machine regression)
OT  - Hyperuricemia
OT  - Multivariable logistics regression
OT  - Phthalates
OT  - RCS (restricted cubic spline)
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2022/11/19 06:00
MHDA- 2022/12/15 06:00
CRDT- 2022/11/18 19:34
PHST- 2022/07/26 00:00 [received]
PHST- 2022/11/10 00:00 [revised]
PHST- 2022/11/11 00:00 [accepted]
PHST- 2022/11/19 06:00 [pubmed]
PHST- 2022/12/15 06:00 [medline]
PHST- 2022/11/18 19:34 [entrez]
AID - S0048-9697(22)07308-9 [pii]
AID - 10.1016/j.scitotenv.2022.160208 [doi]
PST - ppublish
SO  - Sci Total Environ. 2023 Feb 10;859(Pt 1):160208. doi: 
      10.1016/j.scitotenv.2022.160208. Epub 2022 Nov 15.