Associations between organophosphate esters metabolites and sleep disorder and trouble sleeping in adults: a machine-learning approach

有机磷 生态毒理学 睡眠(系统调用) 心理学 精神科 毒理 生物 生态学 计算机科学 操作系统 杀虫剂
作者
Xiao Kang,Jingxian Li,Jia Luo,Dongfeng Zhang
出处
期刊:Environmental Science and Pollution Research [Springer Science+Business Media]
卷期号:29 (44): 67287-67300 被引量:8
标识
DOI:10.1007/s11356-022-20596-1
摘要

Organophosphate esters (OPEs) are used widely as flame retardants and plasticizers. However, the associations between OPEs metabolites and sleep outcomes (sleep disorder and trouble sleeping) remain unknown. Data utilized in this cross-sectional study was from the National Health and Nutrition Examination Survey 2013–2014, including 1393 adults aged ≥ 20 years. We conducted weighted logistic regression and Bayesian kernel machine regression (BKMR) models to analyze the associations between OPEs metabolites and sleep outcomes. We included data from 2011 to 2012 cycle in our sensitivity analysis to explore the association further. Logistic regression model presented a significant positive association between diphenyl phosphate (DPHP) and sleep disorder in all participants (odds ratio (95% confidence interval) for the second quartile was 2.46 (1.85, 3.28)). We observed positive associations between OPEs metabolites and sleep outcomes in males. Among females, no significant association was observed in the logistic model. BKMR presented that dibutyl phosphate (DBUP) was the relatively important exposure. There was a positive association between OPEs metabolites mixture and trouble sleeping. Univariable exposure–response functions demonstrated U-shaped associations between DBUP and sleep outcomes, while bis(2-chloroethyl) phosphate (BCEP) was associated with sleep disorder negatively in females. No substantial changes appeared in the results after including the data from 2011 to 2012 cycle. This current study indicated that OPEs metabolites might be associated with sleep disorder and trouble sleeping, and the associations seemed to be sex-dependent.

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
仁爱钢笔发布了新的文献求助30
刚刚
Jasper应助坚强的玉米采纳,获得10
刚刚
Iris发布了新的文献求助10
1秒前
1秒前
卡卡发布了新的文献求助10
2秒前
小丸子爱看文献完成签到,获得积分10
3秒前
king发布了新的文献求助10
3秒前
Echo发布了新的文献求助10
4秒前
xiaoyaczl发布了新的文献求助10
4秒前
5秒前
非我完成签到 ,获得积分0
5秒前
jianmei完成签到,获得积分10
5秒前
6秒前
萤火发布了新的文献求助10
7秒前
7秒前
朴素冰旋完成签到,获得积分10
7秒前
缓慢天菱完成签到,获得积分10
8秒前
8秒前
吴3L完成签到,获得积分10
8秒前
硕123完成签到,获得积分10
9秒前
9秒前
9秒前
跳跃惜筠发布了新的文献求助10
9秒前
JJ完成签到,获得积分10
9秒前
无恙完成签到 ,获得积分10
9秒前
呆萌的忆山完成签到,获得积分10
10秒前
李健应助huyuti采纳,获得10
10秒前
10秒前
10秒前
别偷我增肌粉完成签到,获得积分10
10秒前
试试水完成签到,获得积分10
10秒前
呆呆完成签到 ,获得积分10
11秒前
cheng完成签到,获得积分10
11秒前
花开的石头完成签到,获得积分10
12秒前
12秒前
12秒前
王晨发布了新的文献求助10
13秒前
13秒前
郑大钱发布了新的文献求助10
14秒前
zyjjjj发布了新的文献求助10
14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
The Organometallic Chemistry of the Transition Metals 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6437158
求助须知:如何正确求助?哪些是违规求助? 8251599
关于积分的说明 17555470
捐赠科研通 5495442
什么是DOI,文献DOI怎么找? 2898391
邀请新用户注册赠送积分活动 1875188
关于科研通互助平台的介绍 1716268