, Volume 64, Issue 3, pp 469–485 | Cite as

Hypertriglyceridemic waist phenotype and abnormal glucose metabolism: a system review and meta-analysis

  • Chun-Ming Ma
  • Xiao-Li Liu
  • Na Lu
  • Rui Wang
  • Qiang Lu
  • Fu-Zai YinEmail author



This study was to perform a meta-analysis to assess the relationship between hypertriglyceridemic-waist (HTW) phenotype and abnormal glucose metabolism.


The data sources were PubMed and EMBASE up to June 2018. Studies providing the relationship between HTW phenotype and abnormal glucose metabolism were included.


In total, 48 eligible studies that evaluated 2,42,879 subjects were included in the meta-analysis. In the general population, the pooled odds ratios (ORs) for elevated blood glucose and diabetes related to HTW phenotype was 2.32 (95% confidence interval (CI): 1.98–2.71) and 2.69 (95% CI: 2.40–3.01), respectively. In cohort studies, the pooled OR for diabetes related to HTW phenotype was 2.89 (95% CI: 1.97–4.25) in subjects without diabetes. The levels of homeostasis model assessment of insulin resistance (HOMA-IR) in the HTW population were increased with values of mean differences (MD) 1.12 (95% CI: 0.81–1.43. P < 0.00001, I2 = 99%) in the general population and 0.89 (95% CI: 0.75–1.04, P < 0.00001, I2 = 67%) in subjects without diabetes.


HTW phenotype was closely associated with increased risk of abnormal glucose metabolism. There was also a significant correlation between HTW phenotype and insulin resistance.


Hypertriglyceridemic-waist phenotype Insulin resistance Islet cell dysfunction Diabetes Diabetic complication 



The funding of this study was self-financing.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

This paper is a system review and meta-analysis. No informed consent was obtained.

Supplementary material

12020_2019_1945_MOESM1_ESM.doc (438 kb)
Supplementary Material.


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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Chun-Ming Ma
    • 1
  • Xiao-Li Liu
    • 1
  • Na Lu
    • 1
  • Rui Wang
    • 1
  • Qiang Lu
    • 1
  • Fu-Zai Yin
    • 1
    Email author
  1. 1.Department of Endocrinology, The First Hospital of QinhuangdaoQinhuangdaoChina

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