PMID- 37704821 OWN - NLM STAT- MEDLINE DCOM- 20231023 LR - 20231023 IS - 1614-7499 (Electronic) IS - 0944-1344 (Linking) VI - 30 IP - 47 DP - 2023 Oct TI - The association of the serum levels of aldehydes with diabetes-related eye diseases: a cross-sectional population-based study. PG - 104713-104725 LID - 10.1007/s11356-023-29750-9 [doi] AB - Diabetes could impact many ocular tissues. However, the association of the serum aldehydes with diabetes-related eye diseases (DED) remains unclear. Thus, we aimed to examine the above relationship from the general US population of 2013-2014 National Health and Nutrition Examination Survey (NHANES). The multivariable logistic regression and Bayesian kernel machine regression (BKMR) were used to analyze the effect of serum aldehydes on the risk of DED. Pearson's correlation analysis, the restricted cubic spline (RCS) model, and the linear regression were performed to explore the association between the serum aldehydes and other parameters. The multivariable linear regression was conducted to further underlie the relationship between the serum aldehydes and the glycohemoglobin A1c (HbA1c) in DED participants. Although no significant association was observed between the serum aldehydes and the risk of DED by the multivariable logistic regression and BKMR, the Pearson correlation revealed a positive association between the HbA1c level and the serum level of heptanaldehyde and isopentanaldehyde in DED participants. The RCS model confirmed the above linear correlation. After adjusting for the cofounding factor of smoking, the multivariable linear regression revealed a significant association between the serum level of heptanaldehyde and the HbA1c level in DED participants. Our results suggest that aldehyde exposure did not significantly increase the risk of DED, while heptanaldehyde was the risk factor for increased HbA1c in DED population. CI - (c) 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. FAU - Yan, Weiming AU - Yan W AD - Department of Ophthalmology, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China. 742666007@qq.com. FAU - Sun, Yan AU - Sun Y AD - Department of Ophthalmology, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China. FAU - Wang, Yutong AU - Wang Y AD - Department of Ophthalmology, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China. FAU - Liu, Yubin AU - Liu Y AD - Department of Ophthalmology, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China. FAU - Yan, Weihua AU - Yan W AD - Department of Ophthalmology, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China. FAU - Li, Dongling AU - Li D AD - Department of Hepatobiliary Disease, Fuzong Clinical Medical College of Fujian Medical University, PLA, Fuzhou, 350025, China. FAU - Chen, Meizhu AU - Chen M AD - Department of Ophthalmology, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China. LA - eng PT - Journal Article DEP - 20230914 PL - Germany TA - Environ Sci Pollut Res Int JT - Environmental science and pollution research international JID - 9441769 RN - 0 (Aldehydes) RN - 0 (Glycated Hemoglobin) SB - IM MH - Humans MH - Nutrition Surveys MH - Cross-Sectional Studies MH - Aldehydes MH - Glycated Hemoglobin MH - Bayes Theorem MH - *Diabetes Mellitus MH - *Eye Diseases MH - *Diabetes Complications OTO - NOTNLM OT - Aldehydes OT - Diabetes OT - Diabetes-related eye diseases OT - HbA1c OT - Multivariable linear regression EDAT- 2023/09/14 00:42 MHDA- 2023/10/23 00:44 CRDT- 2023/09/13 23:31 PHST- 2023/05/06 00:00 [received] PHST- 2023/09/03 00:00 [accepted] PHST- 2023/10/23 00:44 [medline] PHST- 2023/09/14 00:42 [pubmed] PHST- 2023/09/13 23:31 [entrez] AID - 10.1007/s11356-023-29750-9 [pii] AID - 10.1007/s11356-023-29750-9 [doi] PST - ppublish SO - Environ Sci Pollut Res Int. 2023 Oct;30(47):104713-104725. doi: 10.1007/s11356-023-29750-9. Epub 2023 Sep 14.