Association Between Urinary Phthalate Metabolites and Sarcopenia in US Adults From NHANES 2011-2018

被引:0
|
作者
Wang, Pangbo [1 ,2 ,3 ]
Huang, Jing [4 ]
Fang, Hongwei [5 ]
Jia, Yong [6 ]
Xu, Liwei [3 ]
Zhao, Jun [5 ]
Hu, Rong [1 ,2 ]
机构
[1] Army Med Univ, Third Mil Med Univ, Dept Neurosurg, Chongqing 400038, Peoples R China
[2] Third Mil Med Univ, Army Med Univ, Southwest Hosp, State Key Lab Trauma Burn & Combined Injury,Chongq, Chongqing 400038, Peoples R China
[3] 946 Hosp PLA Army, Hand & Foot Microsurg, Yining 835000, Peoples R China
[4] Peking Univ, Sch Nursing, Beijing 100191, Peoples R China
[5] NO 946 Hosp PLA Army, Trauma Neurosurg, Yining 835000, Peoples R China
[6] 946 Hosp PLA Army, Intens Care Unit, Yining 835000, Peoples R China
关键词
phthalate metabolites; sarcopenia; weighted quantile sum regression; quantile-based g-computation; Bayesian kernel machine regression; BIOMARKERS; POSITION;
D O I
10.1210/clinem/dgaf002
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Context Phthalates, widely used as chemical additives, are often found as mixtures in the environment. However, the combined impact of phthalate exposure on sarcopenia remains unclear. Objective This study aimed to investigate the relationships between phthalates and sarcopenia in adults. Methods We analyzed data from 3536 participants from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. Multivariable logistic regression, restricted cubic splines (RCSs), weighted quantile sum regression (WQS), quantile-based g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) models were employed to assess the individual, nonlinear, and combined associations between phthalate metabolites and sarcopenia. In addition, subgroup analyses were performed to elucidate sex- and age-specific differences. Results Multivariable logistic regression revealed that monobutyl phthalate (MBP), monoethyl phthalate (MEP), and mono-isobutyl phthalate (MiBP) were positively associated with sarcopenia (P < .05) after adjusting for several covariates, including age, sex, race/ethnicity, education level, marital status, body mass index, smoking status, alcohol drinking, hypertension, diabetes, stroke, congestive heart failure, chronic kidney disease, physical activity, protein intake, and energy intake. MBP exhibited a nonlinear relationship with sarcopenia in the RCS model. Furthermore, mixed phthalate metabolites were associated with a higher risk of sarcopenia in the WQS and qgcomp models. The BKMR model indicated an increasing trend in sarcopenia risk. Subgroup analyses showed stronger associations among individuals aged 20-40 years. BKMR analyses also revealed potential interaction effects between mono(3-carboxypropyl) phthalate, mono-2-ethyl-5-carboxypentyl phthalate, MBP, and MEP on sarcopenia risk. Conclusion This study provides new evidence that co-exposure to phthalates might increase the risk of sarcopenia. Further research is needed to explore the causal relationship between phthalate metabolites and sarcopenia, as well as to elucidate the underlying mechanisms involved.
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页数:13
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