Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"CrfP, a fratricide protein, contributes to natural transformation in Streptococcus suis"    Next Abstract[Improved Performance of PMF Source Apportionment for Volatile Organic Compounds Based on Classification of VOCs' Aging Degree in Air Mass] »

Int Arch Occup Environ Health


Title:Association of volatile organic compounds exposure with the risk of depression in U.S. adults: a cross?ª╡sectional study from NHANES 2013-2016
Author(s):Zhu Y; Ju Y; Wang M; Yang Y; Wu R;
Address:"Hefei Ion Medical Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230088, People's Republic of China. Hefei Ion Medical Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230088, People's Republic of China. yckwurui@163.com"
Journal Title:Int Arch Occup Environ Health
Year:2023
Volume:20230627
Issue:8
Page Number:1101 - 1111
DOI: 10.1007/s00420-023-01993-6
ISSN/ISBN:1432-1246 (Electronic) 0340-0131 (Linking)
Abstract:"BACKGROUND: Volatile organic compounds (VOCs) are a broad class of chemicals, and previous studies showed that VOCs could increase the risk of central nervous system disorders. However, few studies have comprehensively explored their association with depression among general adults. OBJECTIVE: We aimed to explore the association between blood VOCs and depression risk based on a large cross-sectional study of the National Health and Nutrition Examination Survey (NHANES). METHODS: We analyzed data from 3449 American adults in the NHANES 2013-2016. Survey-weighted logistic regression model was used to explore the association of ten blood VOCs with depression. Subsequently, the relative importance of the selected VOCs was determined using the XGBoost model. The weighted quantile sum (WQS) regression model was used to explore the overall association of 10 blood VOCs with depression. Subgroup analyses were performed to identify high-risk populations. Finally, restricted cubic spline (RCS) analysis was utilized to explore the dose-response relationship between blood VOCs and the risk of depression. RESULTS: XGBoost Algorithm model identified blood 2,5-dimethylfuran was the most critical variable in depression. The logistic regression model showed that blood benzene, blood 2,5-dimethylfuran, and blood furan showed a positive correlation with depression. In subgroup analysis, we found that the effects of the above VOCs on depression existed among the female, young middle-aged, and overweight-obese population. Mixture VOCs exposure was positively associated with depression risk (OR = 2.089, 95% CI: 1.299-3.361), and 2,5-dimethylfuran had the largest weights in WQS regression. RCS displayed that blood benzene, blood 2,5-dimethylfuran, and blood furan were positively associated with depression. CONCLUSION: The results of this study indicated that VOCs exposure was associated with an increased prevalence of depression in U.S. adults. Women, young and middle-aged, and overweight-obese populations are more vulnerable to VOCs"
Keywords:Middle Aged Humans Adult Female United States/epidemiology Nutrition Surveys *Environmental Exposure/analysis Environmental Monitoring/methods *Volatile Organic Compounds/adverse effects Cross-Sectional Studies Benzene Depression/epidemiology Overweight O;
Notes:"MedlineZhu, Yue Ju, Yinghui Wang, Menglin Yang, Yuying Wu, Rui eng Germany 2023/06/27 Int Arch Occup Environ Health. 2023 Oct; 96(8):1101-1111. doi: 10.1007/s00420-023-01993-6. Epub 2023 Jun 27"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 27-12-2024