PMID- 37286832
OWN - NLM
STAT- MEDLINE
DCOM- 20230703
LR  - 20240314
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Print)
IS  - 0944-1344 (Linking)
VI  - 30
IP  - 32
DP  - 2023 Jul
TI  - Using three statistical methods to analyze the association between aldehyde 
      exposure and markers of inflammation and oxidative stress.
PG  - 79437-79450
LID - 10.1007/s11356-023-27717-4 [doi]
AB  - BACKGROUND: Exposure to aldehydes has been linked to adverse health outcomes such 
      as inflammation and oxidative stress, but research on the effects of these 
      compounds is limited. This study is aimed at assessing the association between 
      aldehyde exposure and markers of inflammation and oxidative stress. METHODS: The 
      study used data from the NHANES 2013-2014 survey (n = 766) and employed 
      multivariate linear models to investigate the relationship between aldehyde 
      compounds and various markers of inflammation (alkaline phosphatase (ALP) level, 
      absolute neutrophil count (ANC), and lymphocyte count) and oxidative stress 
      (bilirubin, albumin, and iron levels) while controlling for other relevant 
      factors. In addition to generalized linear regression, weighted quantile sum 
      (WQS) and Bayesian kernel machine regression (BKMR) analyses were applied to 
      examine the single or overall effect of aldehyde compounds on the outcomes. 
      RESULTS: In the multivariate linear regression model, each 1 standard deviation 
      (SD) change in propanaldehyde and butyraldehyde was significantly associated with 
      increases in serum iron levels (beta and 95% confidence interval, 3.25 (0.24, 
      6.27) and 8.40 (0.97, 15.83), respectively) and the lymphocyte count (0.10 (0.04, 
      0.16) and 0.18 (0.03, 0.34), respectively). In the WQS regression model, a 
      significant association was discovered between the WQS index and both the albumin 
      and iron levels. Furthermore, the results of the BKMR analysis showed that the 
      overall impact of aldehyde compounds was significantly and positively correlated 
      with the lymphocyte count, as well as the levels of albumin and iron, suggesting 
      that these compounds may contribute to increased oxidative stress. CONCLUSIONS: 
      This study reveals the close association between single or overall aldehyde 
      compounds and markers of chronic inflammation and oxidative stress, which has 
      essential guiding value for exploring the impact of environmental pollutants on 
      population health.
CI  - (c) 2023. The Author(s).
FAU - Zang, Xiaodong
AU  - Zang X
AD  - Department of Pediatrics, The First Affiliated Hospital of USTC, Division of Life 
      Sciences and Medicine, University of Science and Technology of China, Hefei, 
      230001, Anhui, China.
FAU - Qin, Wengang
AU  - Qin W
AD  - Department of Pediatrics, Provincial Hospital Affiliated to Anhui Medical 
      University, Hefei, 230001, Anhui, China.
FAU - Xiong, Yingying
AU  - Xiong Y
AD  - Department of Pediatrics, The First Affiliated Hospital of USTC, Division of Life 
      Sciences and Medicine, University of Science and Technology of China, Hefei, 
      230001, Anhui, China.
FAU - Xu, Anlan
AU  - Xu A
AD  - Department of Pediatrics, The First Affiliated Hospital of USTC, Division of Life 
      Sciences and Medicine, University of Science and Technology of China, Hefei, 
      230001, Anhui, China.
FAU - Huang, Hesuyuan
AU  - Huang H
AD  - Orthopedics Department, Peking University Shougang Hospital, Beijing, 100144, 
      China.
FAU - Fang, Tao
AU  - Fang T
AD  - Department of Pediatrics, The First Affiliated Hospital of USTC, Division of Life 
      Sciences and Medicine, University of Science and Technology of China, Hefei, 
      230001, Anhui, China.
FAU - Zang, Xiaowei
AU  - Zang X
AD  - College of Safety Science and Engineering, Nanjing Tech University, Nanjing, 
      211816, China.
FAU - Chen, Mingwu
AU  - Chen M
AD  - Department of Pediatrics, The First Affiliated Hospital of USTC, Division of Life 
      Sciences and Medicine, University of Science and Technology of China, Hefei, 
      230001, Anhui, China. chenmingwu01@163.com.
AD  - Department of Pediatrics, Provincial Hospital Affiliated to Anhui Medical 
      University, Hefei, 230001, Anhui, China. chenmingwu01@163.com.
LA  - eng
GR  - 82201903/National Natural Science Foundation of China/
GR  - 2208085QH230/Anhui Provincial Natural Science Foundation/
GR  - RC2021153/Doctor Scientific Research Startup Fund of the First Affiliated 
      Hospital of USTC/
PT  - Journal Article
DEP - 20230607
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 0 (Albumins)
RN  - E1UOL152H7 (Iron)
SB  - IM
MH  - Humans
MH  - Nutrition Surveys
MH  - Bayes Theorem
MH  - *Oxidative Stress
MH  - *Albumins
MH  - Inflammation
MH  - Iron/analysis
MH  - Environmental Exposure/analysis
PMC - PMC10313561
OTO - NOTNLM
OT  - Aldehyde
OT  - Bayesian kernel machine regression (BKMR)
OT  - Inflammation and oxidative stress
OT  - Multipollutant
OT  - Weighted quantile sum (WQS) regression
COIS- The authors declare no competing interests.
EDAT- 2023/06/08 01:08
MHDA- 2023/07/03 06:41
PMCR- 2023/06/07
CRDT- 2023/06/07 23:31
PHST- 2023/02/21 00:00 [received]
PHST- 2023/05/13 00:00 [accepted]
PHST- 2023/07/03 06:41 [medline]
PHST- 2023/06/08 01:08 [pubmed]
PHST- 2023/06/07 23:31 [entrez]
PHST- 2023/06/07 00:00 [pmc-release]
AID - 10.1007/s11356-023-27717-4 [pii]
AID - 27717 [pii]
AID - 10.1007/s11356-023-27717-4 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2023 Jul;30(32):79437-79450. doi: 
      10.1007/s11356-023-27717-4. Epub 2023 Jun 7.