Association of serum levels of perfluoroalkyl substances (PFASs) with the metabolic syndrome (MetS) in Chinese male adults: A cross–sectional study

全氟辛酸 高甘油三酯血症 代谢综合征 优势比 医学 内科学 置信区间 肥胖 血压 逻辑回归 内分泌学 血脂异常 横断面研究 甘油三酯 胆固醇 化学 生物化学 病理
作者
Qiaoyun Yang,Xiaoli Guo,Pengling Sun,Yujiao Chen,Wei Zhang,Ai Gao
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:621: 1542-1549 被引量:44
标识
DOI:10.1016/j.scitotenv.2017.10.074
摘要

As extensively used chemicals in a variety of consumer products, perfluoroalkyl substances (PFASs) are ubiquitous and could bring significant risk to human health. However, the effect of PFASs on metabolic syndrome (MetS) is not fully understood. In 2015, a preliminary cross-sectional study was undertaken. A total of 148 male subjects including 81 affected by MetS and 67 non-MetS participants as the reference were recruited from Physical Examination Center affiliated to Capital Medical University, China. Serum levels of perfluorohexane sulfonic acid (PFHxS), perfluorooctanoic acid (PFOA) and perfluorononanoic acid (PFNA) were significantly higher in the subjects with MetS. Logistic regression results showed that concentration of PFNA in serum was associated with 10.9-fold [95% confidence interval (CI), 2.00-59.1] increased risk of MetS. Moreover, increased serum PFNA concentrations were associated with high blood pressure [both for systolic and diastolic blood pressure (SBP and DBP); odds ratio (OR) 7.52 (95%CI, 1.34-42.1) for SBP and 7.27 (95%CI, 1.17-45.1) for DBP], hypertriglyceridemia [13.2 (95%CI, 2.34-74.2)] and obesity [13.3 (95%CI, 2.38-74.4)], respectively. After adjustment by age in logistic regression models, serum levels of PFOA were associated with 29.4-fold (95%CI, 2.90-299.7) increased risk of MetS. Increased PFOA levels were also correlated with MetS [29.4 (95%CI, 2.9-299.7)], SBP [10.8 (95%CI, 1.31-90.0)], hypertriglyceridemia [16.6 (95%CI, 1.92-147.1)], and obesity [46.7 (95%CI, 4.47-487.7)] with adjustment for age. This study suggests bodily retention of PFASs and its association with MetS. Further clinical and animal studies are warranted to clarify the putative causal relationship.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
肾小球呵呵完成签到,获得积分10
1秒前
Lina发布了新的文献求助10
1秒前
5秒前
天御雪完成签到,获得积分10
6秒前
cr完成签到,获得积分20
9秒前
9秒前
闪闪的海蓝完成签到,获得积分10
10秒前
秦始皇1完成签到,获得积分10
10秒前
10秒前
Lina完成签到,获得积分10
11秒前
kang发布了新的文献求助10
11秒前
cr发布了新的文献求助10
14秒前
秦始皇1发布了新的文献求助10
15秒前
小居很哇塞完成签到,获得积分10
16秒前
华仔应助石烟祝采纳,获得10
17秒前
17秒前
在水一方应助牧青采纳,获得10
20秒前
20秒前
22秒前
22秒前
MISSIW完成签到,获得积分10
24秒前
怡然的友容完成签到,获得积分10
24秒前
阜睿发布了新的文献求助10
27秒前
轩辕白竹完成签到,获得积分10
29秒前
sdndkjfvb关注了科研通微信公众号
30秒前
小糊涂完成签到 ,获得积分10
30秒前
王忠凯发布了新的文献求助10
31秒前
rocky15应助青青草采纳,获得10
32秒前
35秒前
苗条丹南完成签到 ,获得积分10
38秒前
41秒前
凉翊完成签到,获得积分10
42秒前
42秒前
科目三应助青青草采纳,获得10
44秒前
脑洞疼应助十七采纳,获得10
45秒前
方静怡发布了新的文献求助10
46秒前
上官若男应助科研通管家采纳,获得30
46秒前
天天快乐应助科研通管家采纳,获得10
46秒前
46秒前
影像大侠应助肖旻采纳,获得10
46秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
行動データの計算論モデリング 強化学習モデルを例として 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2547030
求助须知:如何正确求助?哪些是违规求助? 2176077
关于积分的说明 5602154
捐赠科研通 1896805
什么是DOI,文献DOI怎么找? 946415
版权声明 565383
科研通“疑难数据库(出版商)”最低求助积分说明 503687