Perfluoroalkyl acids, hyperuricemia and gout in adults: Analyses of NHANES 2009–2014

高尿酸血症 全氟辛酸 全国健康与营养检查调查 医学 痛风 四分位数 内科学 全氟辛烷 尿酸 优势比 人口 内分泌学 生理学 环境卫生 化学 置信区间 环境化学 有机化学 磺酸盐
作者
Franco Scinicariello,Melanie C. Buser,Lina S. Balluz,Kimberly Gehle,Hannah Murray,Henry Abadin,Roberta Attanasio
出处
期刊:Chemosphere [Elsevier BV]
卷期号:259: 127446-127446 被引量:52
标识
DOI:10.1016/j.chemosphere.2020.127446
摘要

Previous studies have reported a positive association of perfluoralkyl acids (PFAAs), including perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), with hyperuricemia. The objective of the study is to investigate whether there is an association between concurrent serum levels of several PFAAs and gout, serum uric acid (SUA) or hyperuricemia in the U.S. adult population as represented by the National Health and Nutrition Examination Survey (NHANES) 2009-2014 sample (n = 4917). The PFAAs investigated include PFOA, perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluorohexane sulfonic acid (PFHxS) and PFOS.This cross-sectional study used multivariate logistic regressions to analyze the association of single PFAAs with hyperuricemia and self-reported gout; the association with SUA was analyzed by multivariate linear regression. Analyses were adjusted for race/ethnicity, age, sex, education, alcohol consumption, smoking, serum cotinine, BMI, diabetes, hypertension, chronic kidney disease, and SUA (for gout only).Higher quartile values of serum PFOA and PFHxS were associated with increased odds of self-reported gout. There was a positive association of SUA with increased levels of PFOA, PFNA, PFOS, PFHxS and PFDA. Higher quartile values of PFOA, PFNA, and PFHxS were associated with higher odds of hyperuricemia.In this population-based cross-sectional analysis, we found an association between selected PFAAs and self-reported gout. We also confirmed previous reports of an association between several PFAAs and hyperuricemia. Our study suggests that exposure to PFAAs may be a risk factor for hyperuricemia and gout.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
涂丁元完成签到 ,获得积分10
1秒前
Baoko097发布了新的文献求助10
1秒前
老实灵安完成签到,获得积分10
2秒前
2秒前
795836发布了新的文献求助10
3秒前
Zhu XY.发布了新的文献求助10
3秒前
薯条完成签到,获得积分10
3秒前
木泽完成签到,获得积分10
3秒前
QQ发布了新的文献求助10
5秒前
5秒前
yaya完成签到,获得积分10
6秒前
6秒前
yiyao完成签到 ,获得积分10
6秒前
6秒前
6秒前
深情安青应助AilienWu采纳,获得10
7秒前
yee发布了新的文献求助10
7秒前
Ruby于发布了新的文献求助30
8秒前
打打应助孙伟健采纳,获得10
9秒前
啦啦啦发布了新的文献求助10
9秒前
10秒前
如意半兰发布了新的文献求助10
10秒前
vc关闭了vc文献求助
10秒前
如意书桃完成签到 ,获得积分10
10秒前
12秒前
Crazybow5发布了新的文献求助10
13秒前
鲤鱼青雪发布了新的文献求助10
13秒前
Leon发布了新的文献求助10
13秒前
hkky完成签到,获得积分10
14秒前
稳重的灵安完成签到,获得积分10
14秒前
15秒前
15秒前
英姑应助xc采纳,获得10
15秒前
yxl0214发布了新的文献求助10
16秒前
jasmine完成签到 ,获得积分10
16秒前
嗨皮牙完成签到 ,获得积分10
17秒前
ZZ发布了新的文献求助10
17秒前
18秒前
无名氏完成签到,获得积分10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7617545
求助须知:如何正确求助?哪些是违规求助? 9192845
关于积分的说明 19701783
捐赠科研通 7190073
什么是DOI,文献DOI怎么找? 3272022
关于科研通互助平台的介绍 2434802
邀请新用户注册赠送积分活动 2267143