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Cited by 24Diabetes, Cardiovascular Risks, and LipoproteinsAdipokines, Inflammation, and Metabolic DiseasesDiabetes Management and Research

Association between MetS-IR and prediabetes risk and sex differences: a cohort study based on the Chinese population

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Xie, Qiyang, Kuang, Maobin, Lu, Song, Huang, Xin, Wang, Chao, Zhang, Shuhua, Sheng, Guotai, Zou, Yang·2023·Frontiers in Endocrinology
DOI 10.3389/fendo.2023.1175988PMC PMC10226663
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Abstract

Objective: The metabolic score for insulin resistance (MetS-IR) is an emerging surrogate marker for insulin resistance (IR). This study aimed to investigate the association and sex differences between MetS-IR and prediabetes risk in a Chinese population. Methods: This cohort study included 100,309 adults with normoglycemia at baseline and had followed longitudinally for 5 years, and with prediabetes, defined according to the 2018 American Diabetes Association (ADA) recommended diagnostic criteria, as the outcome of interest. Multivariate Cox proportional hazards regression and restricted cubic spline (RCS) regression models were used to assess the association between MetS-IR and prediabetes risk. Results: During an observation period of 312,843 person-years, 7,735 (14.84%) men and 4,617 (9.57%) women with pre-diabetes onset were recorded. After fully adjusting for confounders, we found an independent and positive correlation between MetS-IR and the risk of prediabetes in the Chinese population, and the degree of correlation was stronger in women than in men (HR: 1.24 vs 1.16, P-interaction<0.05). Furthermore, using RCS nested in the Cox regression model, we found that there was a nonlinear correlation between MetS-IR and prediabetes risk in both sexes with an obvious saturation effect point, and when the MetS-IR was greater than the value of the saturation effect point, the risk of prediabetes was gradually leveling off. We further calculated the saturation effect points of MetS-IR used to evaluate the risk of prediabetes which in men was 42.82, and in women was 41.78. Conclusion: In this large cohort study, our results supported that MetS-IR was independently and positively associated with the risk of prediabetes in the Chinese population, with the association being stronger in women than in men.

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  • Numerous studies have confirmed a relationship between gender and metabolic syndrome, with varying rates of metabolic syndrome occurrence between sexes.

    “numerous studies have confirmed the relationship between gender and MetS, with varying rates of MetS occurrence between sexes [21].”

    From Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndrome (2025) · cites this paper as [21]

    The Results (Baseline characteristics; page unavailable) give different prediabetes incidence rates for men and women, not rates of metabolic syndrome. The Introduction describes MetS-IR as an insulin-resistance index; it does not establish the claimed sex difference in metabolic syndrome occurrence. A search for sex-specific metabolic syndrome prevalence found no supporting passage in our copy. (LLM, conf=0.78)

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Cited by

Sorted by citations

Authors
Xie, Q., Kuang, M., Lu, S., Huang, X., Wang, C., Zhang, S., Sheng, G., & Zou, Y.
Affiliations
  • Nanchang University (CN)
  • Jiangxi Provincial People's Hospital (CN)
Corresponding author
Zou, Yang
ORCID
Venue
Frontiers in Endocrinology
Publisher
Frontiers Media SA
Published
2023-05-15
Volume
14
Pages
1175988-1175988
ISSN
1664-2392 (ISSN-L)
DOI
10.3389/fendo.2023.1175988
PMC
PMC10226663
OpenAlex
W4378782021
Cited by
24
References
5
Citations by year
2026: 2 · 2025: 12 · 2024: 9 · 2023: 1
FWCI
4.92
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Endocrinology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Natural Science Foundation of Jiangxi Province (20192BAB205007, No. 20192BAB205007)
  • Education Department of Jiangxi Province (No. GJJ218911, GJJ218911)
  • Jiangxi Provincial Department of Science and Technology (20212BAG70036, No. 20212BAG70036)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords
METS-IR, metabolic syndrome, insulin resistance, prediabetes, sex differences, nonlinear relationship, Chinese adults
MeSH terms
East Asian People, Adult, Female, Humans, Insulin Resistance, Male, Prediabetic State, Sex Characteristics, Cohort Studies

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