Association between exposure to volatile organic compounds and atherogenic index of plasma in NHANES 2011–2018

Volatile organic compounds (VOCs) are prevalent in daily life, yet the relationship between VOCs exposure and the atherogenic index of plasma (AIP) remains inadequately explored, especially in populations with high levels of exposure. This study aims to investigate the non-linear association between VOCs exposure and AIP in the U.S. adult population. Data from the National Health and Nutrition Examination Survey (NHANES) collected between 2011 and 2018 were analyzed. A range of statistical techniques, including Spearman's correlation analysis, weighted quantile sum (WQS), multivariate logistic regression, restricted cubic splines (RCS), stratified threshold models, and bayesian kernel machine regression (BKMR), were systematically employed to assess the relationship between high-dose VOCs exposure and AIP in U.S. adults. The study included 6,027 participants, with an average age of 37 (18-59), and 50.46% were male. Of these, 3,011 had elevated AIP levels. The Mann-Whitney U test compared VOCs exposure across quartiles (Q1-Q4). Spearman models revealed strong joint exposure effects between VOCs like IPMA3 and HMPMA (ρ = 0.97). WQS regression showed a positive association between VOCs and total cholesterol (TC) (β = 5.45, 95% CI = 5.42-5.58, P = 0.04) and high-density lipoprotein cholesterol (HDL-C) (β = 1.07, 95% CI = 1.03-1.10, P = 0.02). After adjusting for confounders, logistic regression revealed that VOCs such as 3-4MHA, 34DMA, AAMA, ATCA, CYMA, HEMA, and SBMA were linked to higher AIP. RCS analysis indicated a nonlinear association between VOCs and AIP. Stratified modeling found that ATCA was significantly and positively associated with AIP (OR = 1.60, 95% CI = 1.20-2.14, p < 0.01), and that when ATCA levels exceeded 128.60 ng/mL, there was a 60% increased risk of elevated AIP. Higher urinary VOCs levels, particularly ATCA, are significantly associated with increased AIP, offering new insights into the potential link between VOCs exposure and cardiovascular disease.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-03-16
DOI
https://doi.org/10.1038/s41598-025-93833-5
Citations
3
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
3.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between exposure to volatile organic compounds and atherogenic index of plasma in NHANES 2011–2018

Xi‐Sheng Wang, Lingzhuang Meng, Zheng He, Mao Mu et al.
3 citations
Scientific Reports
Air Quality and Health Impacts
3.60
article

Association between exposure to volatile organic compounds and atherogenic index of plasma in NHANES 2011–2018

Xi‐Sheng Wang, Lingzhuang Meng, Zheng He, Mao Mu, Yuqing Wang
article en
3 citations

Abstract

Volatile organic compounds (VOCs) are prevalent in daily life, yet the relationship between VOCs exposure and the atherogenic index of plasma (AIP) remains inadequately explored, especially in populations with high levels of exposure. This study aims to investigate the non-linear association between VOCs exposure and AIP in the U.S. adult population. Data from the National Health and Nutrition Examination Survey (NHANES) collected between 2011 and 2018 were analyzed. A range of statistical techniques, including Spearman's correlation analysis, weighted quantile sum (WQS), multivariate logistic regression, restricted cubic splines (RCS), stratified threshold models, and bayesian kernel machine regression (BKMR), were systematically employed to assess the relationship between high-dose VOCs exposure and AIP in U.S. adults. The study included 6,027 participants, with an average age of 37 (18-59), and 50.46% were male. Of these, 3,011 had elevated AIP levels. The Mann-Whitney U test compared VOCs exposure across quartiles (Q1-Q4). Spearman models revealed strong joint exposure effects between VOCs like IPMA3 and HMPMA (ρ = 0.97). WQS regression showed a positive association between VOCs and total cholesterol (TC) (β = 5.45, 95% CI = 5.42-5.58, P = 0.04) and high-density lipoprotein cholesterol (HDL-C) (β = 1.07, 95% CI = 1.03-1.10, P = 0.02). After adjusting for confounders, logistic regression revealed that VOCs such as 3-4MHA, 34DMA, AAMA, ATCA, CYMA, HEMA, and SBMA were linked to higher AIP. RCS analysis indicated a nonlinear association between VOCs and AIP. Stratified modeling found that ATCA was significantly and positively associated with AIP (OR = 1.60, 95% CI = 1.20-2.14, p < 0.01), and that when ATCA levels exceeded 128.60 ng/mL, there was a 60% increased risk of elevated AIP. Higher urinary VOCs levels, particularly ATCA, are significantly associated with increased AIP, offering new insights into the potential link between VOCs exposure and cardiovascular disease.

Scientific ReportsVol. 15(1)
Huaibei Normal University (CN)
Zero hunger
Openalex Percentile: Top 9%
Air Quality and Health Impacts
3.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.