Association between polycyclic aromatic hydrocarbons and periodontitis: Results from a large population‐based study

牙周炎 逻辑回归 二、侵袭性牙周炎 慢性牙周炎 医学 人口 内科学 环境卫生
作者
Yuxuan Wu,Han Yang,Weiqiu Jin,Yuying Wu,Yiming Yu,Qiansi Chen,Baochang He,Fuhua Yan,Yanfen Li,Fa Chen
出处
期刊:Journal of Clinical Periodontology [Wiley]
卷期号:51 (4): 441-451 被引量:6
标识
DOI:10.1111/jcpe.13919
摘要

Abstract Aim To explore the association between polycyclic aromatic hydrocarbons (PAHs) (measured using urinary metabolites) and periodontitis using data from the National Health and Nutrition Examination Survey 2009–2014. Materials and Methods Weighted binary logistic regression, Bayesian kernel machine regression (BKMR) and weighted quantile sum (WQS) regression were used to evaluate independent and joint associations between the six urinary monohydroxylated metabolites of PAHs (OH‐PAHs) and periodontitis. Results In all, 3413 participants were included in this study. All six urinary OH‐PAHs were present at higher levels in the periodontitis group compared with the non‐periodontitis group ( p < .001). Fully adjusted multivariable logistic regressions showed positive associations between the six urinary OH‐PAHs and periodontitis ( p < .05). Higher concentrations of OH‐PAHs were also positively associated with attachment loss, periodontal pocket depth (PPD) and the number of tooth loss. BKMR and WQS regression yielded similar positive associations between OH‐PAH mixtures and periodontitis. Conclusions PAHs and their mixture are positively associated with periodontitis, which may provide novel insights into periodontitis prevention from an environmental exposure perspective.
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
snowy应助KYT_Hu采纳,获得20
1秒前
1秒前
米粒儿完成签到,获得积分20
1秒前
温暖的涵易完成签到,获得积分0
2秒前
宗师算个瓢啊完成签到 ,获得积分10
2秒前
悦耳的颜完成签到,获得积分10
3秒前
3秒前
3秒前
lxx永恒完成签到,获得积分10
4秒前
刘桔完成签到,获得积分20
4秒前
kirren完成签到,获得积分10
4秒前
踏实无敌应助阿达采纳,获得30
4秒前
米粒儿发布了新的文献求助10
5秒前
自信天发布了新的文献求助10
5秒前
Rainnnn关注了科研通微信公众号
5秒前
Qianbaor68应助丁爽采纳,获得10
7秒前
好运常在发布了新的文献求助10
7秒前
叮叮叮发布了新的文献求助10
7秒前
观山发布了新的文献求助30
7秒前
芝9512完成签到,获得积分10
8秒前
震动的凡柔完成签到,获得积分10
8秒前
zanton完成签到,获得积分20
8秒前
卡秃噜皮完成签到,获得积分10
9秒前
劲秉应助赎罪采纳,获得20
9秒前
10秒前
自信天完成签到,获得积分10
10秒前
10秒前
10秒前
12秒前
13秒前
科研通AI5应助1680Y采纳,获得10
13秒前
13秒前
惠翎完成签到,获得积分10
14秒前
观山完成签到,获得积分20
14秒前
14秒前
科研通AI5应助宋百言采纳,获得10
14秒前
bkagyin应助DJMZ采纳,获得10
15秒前
hihi发布了新的文献求助10
16秒前
大模型应助didoo采纳,获得10
16秒前
16秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 666
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3734838
求助须知:如何正确求助?哪些是违规求助? 3278737
关于积分的说明 10011382
捐赠科研通 2995434
什么是DOI,文献DOI怎么找? 1643431
邀请新用户注册赠送积分活动 781171
科研通“疑难数据库(出版商)”最低求助积分说明 749290