Literature DB >> 27334435

Low-Level Environmental Lead Exposure and Dysglycemia in Adult Individuals: Results from the Canadian Health and Measure Survey 2007-2011.

Gerard Ngueta1,2, André Pascal Kengne3.   

Abstract

We aimed to evaluate the association of exposure to lead with glycated hemoglobin (HbA1c), fasting glucose levels (FGLs), and the likelihood for dysglycemia. We accessed data from Canada Health and Measures Survey. General linear models were used to estimate the association between blood lead concentrations (BPb) and both HbA1c and FGLs, while controlling for confounders. Multivariate logistic regression was used for assessing the relation between BPb and the likelihood for dysglycemia. FGLs in participants with moderate BPb (2.5-5.0 μg/dL) were 1.03 (95 % CI 1.00-1.06) times higher compared with participants with BPb < 2.5 μg/dL. Equivalent figures for those with BPb ≥ 5.0 μg/dL were 1.10 (95 % CI 1.01-1.20) times, relative to the lowest stratum. This association was attenuated using HbA1c to define dysglycemia. Lead exposure was associated with the likelihood for neither FGLs ≥ 1.10 g/L nor HbA1c ≥ 5.7 %. The association between lead exposure and dysglycemia, if any, is likely to be very modest, at least at the population level.

Entities:  

Keywords:  Adults; Fasting glucose levels; Glycated hemoglobin; Lead exposure

Mesh:

Substances:

Year:  2016        PMID: 27334435     DOI: 10.1007/s12011-016-0786-0

Source DB:  PubMed          Journal:  Biol Trace Elem Res        ISSN: 0163-4984            Impact factor:   3.738


  2 in total

1.  Associations of blood lead levels with reproductive hormone levels in men and postmenopausal women: Results from the SPECT-China Study.

Authors:  Chi Chen; Ningjian Wang; Hualing Zhai; Xiaomin Nie; Honglin Sun; Bing Han; Qin Li; Yi Chen; Jing Cheng; Fangzhen Xia; Li Zhao; Yanjun Zheng; Zhoujun Shen; Yingli Lu
Journal:  Sci Rep       Date:  2016-11-29       Impact factor: 4.379

2.  Associations of Serum Manganese Levels with Prediabetes and Diabetes among ≥60-Year-Old Chinese Adults: A Population-Based Cross-Sectional Analysis.

Authors:  Xuan Wang; Mingyue Zhang; Guang Lui; Hong Chang; Meilin Zhang; Wei Liu; Ziwei Li; Yixin Liu; Guowei Huang
Journal:  Nutrients       Date:  2016-08-13       Impact factor: 5.717

  2 in total

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