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Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study

Author

Listed:
  • Hui Cheng

    (School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
    These authors contributed equally to this paper.)

  • Xiao Yu

    (School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
    These authors contributed equally to this paper.)

  • Yu-Ting Li

    (State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China)

  • Zhihui Jia

    (School of Public Health, Sun Yat-sen University, Guangzhou 510080, China)

  • Jia-Ji Wang

    (Centre for General Practice, The Seventh Affiliated Hospital, Southern Medical University, Foshan 528244, China
    School of Public Health, Guangzhou Medical University, Guangzhou 510182, China)

  • Yao-Jie Xie

    (School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Kowloon 852, Hong Kong, China)

  • Jose Hernandez

    (Medicine and Health, EDU Institute of Higher Education, 1320 Kalkara, Malta
    Green Templeton College, University of Oxford, Oxford OX2 6HG, UK)

  • Harry H. X. Wang

    (School of Public Health, Sun Yat-sen University, Guangzhou 510080, China)

  • Hua-Feng Wu

    (Shishan Community Health Centre of Nanhai, Foshan 528234, China)

Abstract

The metabolic score for insulin resistance (METS-IR) was recently proposed as a non-insulin-based, novel index for assessing insulin resistance (IR) in the Western population. However, evidence for the link between METS-IR and prediabetes or type 2 diabetes mellitus (T2DM) among the elderly Chinese population was still limited. We aimed to investigate the associations between METS-IR and prediabetes or T2DM based on large-scale, cross-sectional, routine physical examination data. In a total of 18,112 primary care service users, an increased METS-IR was independently associated with a higher prevalence of prediabetes (adjusted odds ratio [aOR] = 1.457, 95% confidence interval [CI]: 1.343 to 1.581, p < 0.001) and T2DM (aOR = 1.804, 95%CI: 1.720 to 1.891, p < 0.001), respectively. The aOR for prediabetes in subjects with the highest quartile of METS-IR was 3.060-fold higher than that in those with the lowest quartile of METS-IR. The aOR for T2DM in subjects with the highest quartile of METS-IR was 6.226-fold higher than that in those with the lowest quartile of METS-IR. Consistent results were obtained in subgroup analyses. Our results suggested that METS-IR was significantly associated with both prediabetes and T2DM. The monitoring of METS-IR may add value to early identification of individuals at risk for glucose metabolism disorders in primary care.

Suggested Citation

  • Hui Cheng & Xiao Yu & Yu-Ting Li & Zhihui Jia & Jia-Ji Wang & Yao-Jie Xie & Jose Hernandez & Harry H. X. Wang & Hua-Feng Wu, 2023. "Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study," IJERPH, MDPI, vol. 20(2), pages 1-10, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1053-:d:1027664
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    References listed on IDEAS

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    1. John R B Perry & Benjamin F Voight & Loïc Yengo & Najaf Amin & Josée Dupuis & Martha Ganser & Harald Grallert & Pau Navarro & Man Li & Lu Qi & Valgerdur Steinthorsdottir & Robert A Scott & Peter Almgr, 2012. "Stratifying Type 2 Diabetes Cases by BMI Identifies Genetic Risk Variants in LAMA1 and Enrichment for Risk Variants in Lean Compared to Obese Cases," PLOS Genetics, Public Library of Science, vol. 8(5), pages 1-14, May.
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