Weng Xueqiong, Chen Jingmin, Fei Qiaoyuan, Guo Xinrong, Liu Shan, Wen Lin, Liang Huanzhu, Guo Congcong, Nie Lihong, Jing Chunxia
Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China.
Jiaojiang Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China.
Chemosphere. 2022 Mar;291(Pt 2):133019. doi: 10.1016/j.chemosphere.2021.133019. Epub 2021 Nov 20.
The association of mixed aldehydes exposure with diabetes remains unclear.
We aimed to explore associations between serum aldehydes concentration and diabetes.
We analyzed associations between aldehydes and diabetes using data from 1795 participants in the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2014 by multiple logistic regression models. Bayesian kernel machine regression (BKMR) was used to evaluate the combined association of serum aldehydes on prediabetes and diabetes.
Isopentanaldehyde increased the risk of diabetes 2.09 fold (95%CI:1.05-4.16) in the highest tertile, compared to the lowest-tertile concentration after adjusting for covariates, with a p-value for trend (P-t) equal to 0.041, in females. The adjusted OR of prediabetes with a 95% CI for the highest tertile was 0.52(0.28, 0.97) for benzaldehyde in females (P-t = 0.034). We also found associations in the male group between butyraldehyde and diabetes for the second (OR:2.80, 95%CI:1.35-5.79) and third (OR:2.59, 95%CI:1.30-5.17) tertile levels (P-t = 0.010). The risk of diabetes increased 2.55 fold (95%CI: 1.26-5.16, P-t = 0.008), in subjects in the highest tertile of hexanaldehyde concentration. Other aldehydes did not show a statistically significant association with diabetes or prediabetes. The BKMR model showed a positive association of mixed aldehydes with diabetes in males, and butyraldehyde showed a significant positive trend with the highest posterior inclusion probability (PIP = 0.85). Mixed aldehydes increased female's risk from prediabetes to diabetes in which isopentanaldehyde had the highest posterior inclusion probability (PIP = 0.67).
The mixed aldehydes might increase the risk of suffering from diabetes in males and accelerate the progression of diabetes in females, in which butyraldehyde and isopentanaldehyde play the most important roles.
混合醛暴露与糖尿病之间的关联尚不清楚。
我们旨在探讨血清醛浓度与糖尿病之间的关联。
我们使用2013年至2014年美国国家健康与营养检查调查（NHANES）中1795名参与者的数据，通过多元逻辑回归模型分析醛与糖尿病之间的关联。采用贝叶斯核机器回归（BKMR）来评估血清醛对糖尿病前期和糖尿病的综合关联。
在女性中，调整协变量后，与最低三分位数浓度相比，最高三分位数的异戊醛使糖尿病风险增加2.09倍（95%可信区间：1.05 - 4.16），趋势p值（P-t）等于0.041。女性中，苯甲醛最高三分位数的糖尿病前期调整后比值比（OR）及95%可信区间为0.52（0.28，0.97）（P-t = 0.034）。我们还发现，在男性组中，丁醛在第二（OR：2.80，95%可信区间：1.35 - 5.79）和第三（OR：2.59，95%可信区间：1.30 - 5.17）三分位数水平与糖尿病有关联（P-t = 0.010）。己醛浓度最高三分位数的受试者中，糖尿病风险增加2.55倍（95%可信区间：1.26 - 5.16，P-t = 0.008）。其他醛与糖尿病或糖尿病前期未显示出统计学上的显著关联。BKMR模型显示，混合醛与男性糖尿病呈正相关，丁醛呈现出显著的正趋势，后验包含概率最高（PIP = 0.85）。混合醛增加了女性从糖尿病前期发展为糖尿病的风险，其中异戊醛的后验包含概率最高（PIP = 0.67）。
混合醛可能增加男性患糖尿病的风险，并加速女性糖尿病的进展，其中丁醛和异戊醛起最重要作用。
