Literature DB >> 34997492

The association between urine elements and fasting glucose levels in a community-based elderly people in Beijing.

Liu Liu1,2, Ang Li3,4, Qun Xu3,4, Qin Wang1, Feng Han5, Chunyu Xu1, Zhe Liu1, Dongqun Xu6, Donggang Xu7.   

Abstract

Epidemiological studies have demonstrated that various kinds of urinary element concentrations were different between healthy, prediabetes, and diabetes patients. Meanwhile, many studies have explored the relationship between element concentration and fasting blood glucose (FBG), but the association between joint exposure to co-existing elements and FBG level has not been well understood. The study explored the associations of joint exposure to co-existing urinary elements with FBG level in a cross-sectional design. 275 retired elderly people were recruited from Beijing, China. The questionnaire survey was conducted, and biological samples were collected. The generalized linear model (GLM) and two-phase Bayesian kernel machine regression (BKMR) model were used to perform in-depth association analysis between urinary elements and FBG. The GLM analysis showed that Zn, Sr, and Cd were significantly correlated with the FBG level, under control potential confounding factors. The BKMR analysis demonstrated 8 elements (Zn, Se, Fe, Cr, Ni, Cd, Mn, and Al) had a higher influence on FBG (posterior inclusion probabilities > 0.1). Further intensive analyses result of the BKMR model indicated that the overall estimated exposure of 8 elements was positively correlated with the FBG level and was statistically significant when all creatinine-adjusted element concentrations were at their 65th percentile. Meanwhile, the BKMR analysis showed that Cd and Zn had a statistically significant association with FBG levels when other co-existing elements were controlled at different levels (25th, 50th, or 75th percentile), respectively. The results of the GLM and BKMR model were inconsistent. The BKMR model could flexibly calculate the joint exposure to co-existing elements, evaluate the possible interaction effects and nonlinear correlations. The meaningful conclusions were found that it was difficult to get by traditional methods. This study will provide methodological reference and experimental evidence for the association between joint exposure to co-existing elements and FBG in elderly people.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Bayesian kernel machine regression; Co-existing element,·Fasting blood glucose; Diabetes mellitus; Urine

Mesh:

Substances:

Year:  2022        PMID: 34997492     DOI: 10.1007/s11356-021-17948-8

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  Association of Metals and Metalloids With Urinary Albumin/Creatinine Ratio: Evidence From a Cross-Sectional Study Among Elderly in Beijing.

Authors:  Ang Li; Jiaxin Zhao; Liu Liu; Yayuan Mei; Quan Zhou; Meiduo Zhao; Jing Xu; Xiaoyu Ge; Qun Xu
Journal:  Front Public Health       Date:  2022-03-31

2.  The effect of urinary essential and non-essential elements on serum albumin: Evidence from a community-based study of the elderly in Beijing.

Authors:  Ang Li; Quan Zhou; Yayuan Mei; Jiaxin Zhao; Liu Liu; Meiduo Zhao; Jing Xu; Xiaoyu Ge; Qun Xu
Journal:  Front Nutr       Date:  2022-07-18
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.