The association between endocrine disrupting chemicals and MAFLD: Evidence from NHANES survey

全国健康与营养检查调查 环境卫生 优势比 逻辑回归 体质指数 医学 内科学 人口
作者
Ruoyi Lei,Baode Xue,Xiao Yu Tian,Ce Liu,Yanlin Li,Jie Zheng,Bin Luo
出处
期刊:Ecotoxicology and Environmental Safety [Elsevier]
卷期号:256: 114836-114836 被引量:16
标识
DOI:10.1016/j.ecoenv.2023.114836
摘要

Previous studies on the association of endocrine-disrupting chemicals (EDCs) with metabolic dysfunction-associated fatty liver disease (MAFLD) are very limited. This study analyzed the association of EDCs exposure with MAFLD among 5073 American adults from the 2017-2018 National Health and Nutrition Examination Survey. The results showed that increased exposure to 3 EDCs metabolites (namely As, DiNP and PFOA) were significantly associated with MAFLD, the odds ratio of which were 1.819 (95% CI: 1.224, 2.702), 1.959 (95% CI: 1.224, 3.136) and 2.148 (95% CI: 1.036, 4.456), respectively. Further, the bayesian kernel machine regression model also revealed that phthalates exposure was strongly connected with the MAFLD, particularly in females and the elderly over 65. Moderating effect analysis suggested that higher body mass index (BMI) and inflammatory diet habit (indicated by dietary inflammatory index) strengthened the association between EDCs and MAFLD, whereas population with higher level of insulin sensitivity showed lower risk. In conclusion, our results suggest that either single or combined exposure to EDCs metabolites is link to MAFLD. Our findings also encourage people to sustain a healthy diet, normal levels of insulin sensitivity and BMI, which may help to alleviate the association of MAFLD risk in exposure to EDCs. These results also help us to better understand the association of EDCs and MAFLD and provide effective evidences for preventing MAFLD from the EDCs exposure aspect.
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
刚刚
zhang完成签到,获得积分10
1秒前
1秒前
小分队发布了新的文献求助10
2秒前
2秒前
2秒前
ss发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
李健的小迷弟应助HHYYAA采纳,获得10
3秒前
yi完成签到,获得积分10
3秒前
4秒前
4秒前
5秒前
潘若溪发布了新的文献求助10
5秒前
huangsj发布了新的文献求助10
5秒前
棋士应助一一采纳,获得10
6秒前
小迪迦奥特曼完成签到,获得积分10
6秒前
BowieHuang应助nyq采纳,获得10
6秒前
YL完成签到,获得积分10
6秒前
6秒前
子衿发布了新的文献求助10
6秒前
落后的梦菡完成签到,获得积分10
7秒前
小白发布了新的文献求助10
7秒前
8秒前
8秒前
HHYYAA完成签到,获得积分10
8秒前
斯文败类应助靓丽的熠彤采纳,获得10
9秒前
9秒前
10秒前
10秒前
Swu发布了新的文献求助10
10秒前
酷炫绮菱完成签到,获得积分10
10秒前
昭昭完成签到,获得积分10
10秒前
10秒前
英俊的铭应助耿耿于怀采纳,获得10
11秒前
11秒前
11秒前
Runing发布了新的文献求助10
11秒前
明天见发布了新的文献求助10
12秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 15000
(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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5701094
求助须知:如何正确求助?哪些是违规求助? 5142212
关于积分的说明 15232991
捐赠科研通 4856158
什么是DOI,文献DOI怎么找? 2605673
邀请新用户注册赠送积分活动 1557059
关于科研通互助平台的介绍 1515078