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Diabetologia

pp 1–10 | Cite as

Urinary bisphenol A concentration and glucose homeostasis in non-diabetic adults: a repeated-measures, longitudinal study

  • Bin Wang
  • Mian Li
  • Zhiyun Zhao
  • Jieli Lu
  • Yuhong Chen
  • Yu Xu
  • Min Xu
  • Weiqing Wang
  • Tiange WangEmail author
  • Yufang BiEmail author
  • Guang Ning
Article

Abstract

Aims/hypothesis

Bisphenol A (BPA) has been shown to be potentially associated with type 2 diabetes; however, there is little evidence associating BPA exposure with glucose metabolic outcomes prior to diabetes onset. We aimed to examine BPA exposure in relation to glucose homeostasis among non-diabetic individuals.

Methods

This longitudinal cohort study comprised 2336 Chinese adults aged 40 years or above (62.8% women) and free of diabetes at baseline in 2009, followed for 4 years. Urinary BPA and glucose metabolic traits including fasting plasma glucose (FPG), 2 h post-load plasma glucose, fasting serum insulin, HOMA-IR and HOMA-B were measured at baseline and follow-up. Repeated-measures analysis was performed to evaluate associations of urinary BPA concentration with markers of glucose homeostasis.

Results

After full adjustment for confounders including BMI, each tenfold increase in urinary BPA concentrations was associated with a 3.39% increase in FPG (95% CI 2.24%, 4.55%) and an 11.6% decrease in HOMA-B (95% CI −15.8%, −7.18%) in women. The inverse association between urinary BPA and HOMA-B was more prominent among overweight or obese individuals (change −13.7%; 95% CI −19.3%, −7.61%) compared with those who were of normal weight (change −6.74%; 95% CI −13.2%, 0.20%) (pinteraction = 0.07). Moreover, the ORs of fasting hyperglycaemia and beta cell dysfunction corresponding to a tenfold increase in urinary BPA concentrations were 1.37 (95% CI 1.10, 1.72) and 1.30 (95% CI 1.02, 1.65) in women, respectively. No significant associations existed between urinary BPA and glucose metabolic markers in men.

Conclusions/interpretation

Our findings suggest that exposure to BPA was independently associated with impaired glucose homeostasis before the development of diabetes in middle-aged and elderly women.

Keywords

Bisphenol A Glucose homeostasis HOMA-B Repeated measures Type 2 diabetes 

Abbreviations

BPA

Bisphenol A

FPG

Fasting plasma glucose

GAMM

Generalised additive mixed models

IQR

Interquartile range

PPG

Post-load plasma glucose

Notes

Acknowledgements

The investigators are grateful to all participants for their cooperation in the study.

Contribution statement

BW, ML, TW, YB and GN contributed to the study design and concept. BW and ML analysed the data and drafted the manuscript. ZZ, JL, YC, YX, MX, WW and GN contributed to data interpretation and the editing of the manuscript. TW and YB critically revised the manuscript for important intellectual content. All authors have approved the final version to be published. TW, YB and GN guarantee this work and have full access to all of the data and take responsibility for the integrity of the data.

Funding

This work was funded by the Chinese Ministry of Finance, the 973 Foundation (grant 2015CB553601), National Key R&D Program of China (grants 2016YFC1305600, 2017YFC1310700, 2016YFC0901200 and 2016YFC1304904), National Natural Science Foundation of China (grants 81622011 and 81621061), Shanghai Pujiang Program (18PJ1409600) and Shanghai Municipal Education Commission–Gaofeng Clinical Medicine and Doctoral Innovation Grant Support from Shanghai Jiao Tong University School of Medicine (grants 20171901, 20161301, 20152508, 20161307 and BXJ201908).

Duality of interest

The authors declare that there is no duality of interest associated with this manuscript.

Supplementary material

125_2019_4898_MOESM1_ESM.pdf (180 kb)
ESM (PDF 179 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Bin Wang
    • 1
    • 2
    • 3
  • Mian Li
    • 1
    • 2
    • 3
  • Zhiyun Zhao
    • 1
    • 2
    • 3
  • Jieli Lu
    • 1
    • 2
    • 3
  • Yuhong Chen
    • 1
    • 2
    • 3
  • Yu Xu
    • 1
    • 2
    • 3
  • Min Xu
    • 1
    • 2
    • 3
  • Weiqing Wang
    • 1
    • 2
    • 3
  • Tiange Wang
    • 1
    • 2
    • 3
    Email author
  • Yufang Bi
    • 1
    • 2
    • 3
    Email author
  • Guang Ning
    • 1
    • 2
    • 3
  1. 1.State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic DiseasesRui-Jin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
  2. 2.Department of Endocrine and Metabolic DiseasesRui-Jin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
  3. 3.Shanghai Institute of Endocrine and Metabolic DiseasesRui-Jin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina

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