PMID- 35367493
OWN - NLM
STAT- MEDLINE
DCOM- 20220608
LR  - 20220608
IS  - 1879-1298 (Electronic)
IS  - 0045-6535 (Linking)
VI  - 301
DP  - 2022 Aug
TI  - Association between exposure to organophosphorus pesticides and the risk of 
      diabetes among US Adults: Cross-sectional findings from the National Health and 
      Nutrition Examination Survey.
PG  - 134471
LID - S0045-6535(22)00964-X [pii]
LID - 10.1016/j.chemosphere.2022.134471 [doi]
AB  - OBJECTIVE: Organophosphorus pesticides (OPPs) are commonly used pesticides across 
      the world, however there is little epidemiological evidence linking their 
      exposure to diabetes. Hence, this study aimed at investigating the effect of OPP 
      exposure on the prevalence of diabetes in American adults. METHODS: Adults (>/=20 
      years old) were eligible for this study from the National Health and Nutrition 
      Examination Survey (NHANES). Multivariate logistic regression model was employed 
      to explore the associations of six main urinary OPPs metabolites with diabetes. 
      Subgroup analyses were performed by age and gender. Combined effect of OPPs 
      metabolites on the overall association with diabetes was evaluated by weighted 
      quantile sum regression (WQS). Furthermore, Bayesian kernel machine regression 
      (BKMR) model was implemented to explore joint effect of multiple OPPs metabolites 
      on diabetes. RESULTS: Ultimately, 6,593 adults were included in our analysis. Of 
      them, 1,044 participants were determined as diabetes patients. The results of 
      logistic regression shown that urinary OPPs metabolites concentrations, whether 
      taken as continuous variables or quantiles, were in positive correlation with 
      diabetes. Notably, the p for trend of diethylphosphate (DEP), a kind of OPPs 
      metabolites, was less than 0.05 indicated that a linear trend may exist between 
      levels of DEP and prevalence of diabetes among adults while this trend was not 
      obversed in other OPPs metabolites. In the WQS model, combined exposure of OPPs 
      metabolites had a significantly positive association with diabetes (OR: 1.057; 
      95% CI: 1.002, 1.114) and diethylphosphate (36.84%) made the largest contributor 
      to the WQS index. The result of BKMR also suggested a positive trend of 
      association between mixed OPPs metabolites and diabetes. CONCLUSION: Our results 
      add credibility to the argument that OPP exposure might trigger diabetes. 
      Certainly, prospective data are required to corroborate our findings.
CI  - Copyright (c) 2022. Published by Elsevier Ltd.
FAU - Guo, Xianwei
AU  - Guo X
AD  - Department of Epidemiology and Health Statistics, School of Public Health, Anhui 
      Medical University, Hefei, 230032, Anhui, PR China.
FAU - Wang, Hao
AU  - Wang H
AD  - Department of Epidemiology and Health Statistics, School of Public Health, Anhui 
      Medical University, Hefei, 230032, Anhui, PR China.
FAU - Song, Qiuxia
AU  - Song Q
AD  - Department of Epidemiology and Health Statistics, School of Public Health, Anhui 
      Medical University, Hefei, 230032, Anhui, PR China.
FAU - Li, Ning
AU  - Li N
AD  - Department of Epidemiology and Health Statistics, School of Public Health, Anhui 
      Medical University, Hefei, 230032, Anhui, PR China.
FAU - Liang, Qiwei
AU  - Liang Q
AD  - Department of Epidemiology and Health Statistics, School of Public Health, Anhui 
      Medical University, Hefei, 230032, Anhui, PR China.
FAU - Su, Wanying
AU  - Su W
AD  - Department of Epidemiology and Health Statistics, School of Public Health, Anhui 
      Medical University, Hefei, 230032, Anhui, PR China.
FAU - Liang, Mingming
AU  - Liang M
AD  - Department of Epidemiology and Health Statistics, School of Public Health, Anhui 
      Medical University, Hefei, 230032, Anhui, PR China.
FAU - Ding, Xiuxiu
AU  - Ding X
AD  - Department of Epidemiology and Health Statistics, School of Public Health, Anhui 
      Medical University, Hefei, 230032, Anhui, PR China.
FAU - Sun, Chenyu
AU  - Sun C
AD  - Internal Medicine, AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore 
      Drive, Chicago, IL, 60657, USA.
FAU - Lowe, Scott
AU  - Lowe S
AD  - College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, 
      Kansas City, MO, 64106, USA.
FAU - Sun, Yehuan
AU  - Sun Y
AD  - Department of Epidemiology and Health Statistics, School of Public Health, Anhui 
      Medical University, Hefei, 230032, Anhui, PR China; Chaohu Hospital, Anhui 
      Medical University, Hefei, 238000, Anhui, PR China. Electronic address: 
      yhsun_ahmu_edu@yeah.net.
LA  - eng
PT  - Journal Article
DEP - 20220331
PL  - England
TA  - Chemosphere
JT  - Chemosphere
JID - 0320657
RN  - 0 (Organophosphorus Compounds)
RN  - 0 (Pesticides)
SB  - IM
MH  - Adult
MH  - Bayes Theorem
MH  - Cross-Sectional Studies
MH  - *Diabetes Mellitus/chemically induced/epidemiology
MH  - Humans
MH  - Nutrition Surveys
MH  - Organophosphorus Compounds/toxicity
MH  - *Pesticides
MH  - Prospective Studies
MH  - United States/epidemiology
MH  - Young Adult
OTO - NOTNLM
OT  - Bayesian kernel machine regression
OT  - Diabetes
OT  - Joint effect
OT  - Organophosphorus pesticides
OT  - Weighted quantile sum regression
EDAT- 2022/04/04 06:00
MHDA- 2022/06/09 06:00
CRDT- 2022/04/03 20:25
PHST- 2022/01/31 00:00 [received]
PHST- 2022/03/26 00:00 [revised]
PHST- 2022/03/28 00:00 [accepted]
PHST- 2022/04/04 06:00 [pubmed]
PHST- 2022/06/09 06:00 [medline]
PHST- 2022/04/03 20:25 [entrez]
AID - S0045-6535(22)00964-X [pii]
AID - 10.1016/j.chemosphere.2022.134471 [doi]
PST - ppublish
SO  - Chemosphere. 2022 Aug;301:134471. doi: 10.1016/j.chemosphere.2022.134471. Epub 
      2022 Mar 31.