Evidence map›Paper›PMID 42876970›Full record

ArticleInternational journal of endocrinology2026

Associations of Insulin Resistance Surrogate Indices With Component-Defined Metabolically Unhealthy Phenotype Among Women With Overweight or Obesity: A Cross-Sectional Analysis of CHNS and NHANES.

Xiaoye Zhu, Jinghui Zou, Hong Zhu, Honghong Wang, Yisheng Zhang, Yanfei Jin

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Article in International journal of endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Xiaoye ZhuSchool of Nursing Nanjing Medical University 101 Longmian Road Nanjing 211166 Jiangsu China njmu.edu.cn.ORCID https://orcid.org/0009-0000-2077-2305
Jinghui ZouDepartment of Obstetrics The Affiliated Lihuili Hospital of Ningbo University 1111 Jiangnan Road Ningbo 315100 Zhejiang China nbu.edu.cn.ORCID https://orcid.org/0000-0001-6786-7053
Hong ZhuDepartment of Obstetrics The Affiliated Lihuili Hospital of Ningbo University 1111 Jiangnan Road Ningbo 315100 Zhejiang China nbu.edu.cn.
Honghong WangDepartment of Obstetrics The Affiliated Lihuili Hospital of Ningbo University 1111 Jiangnan Road Ningbo 315100 Zhejiang China nbu.edu.cn.
Yisheng ZhangDepartment of Obstetrics The Affiliated Lihuili Hospital of Ningbo University 1111 Jiangnan Road Ningbo 315100 Zhejiang China nbu.edu.cn.ORCID https://orcid.org/0000-0001-9961-6195
Yanfei JinSchool of Nursing Nanjing Medical University 101 Longmian Road Nanjing 211166 Jiangsu China njmu.edu.cn.ORCID https://orcid.org/0000-0002-6602-6655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Women with overweight or obesity are metabolically heterogeneous, and body mass index (BMI) alone does not fully characterise their endocrine and metabolic health. We examined associations between five insulin resistance surrogate indices and a component-defined metabolically unhealthy phenotype (MUP) to characterise insulin resistance-related metabolic variation in this population. Methods: This cross-sectional analysis used the China Health and Nutrition Survey (CHNS) 2009 for discovery and the National Health and Nutrition Examination Survey (NHANES) 2011-2018 for independent replication. Final samples comprised 1751 CHNS and 2953 NHANES participants. The indices were homeostasis model assessment of insulin resistance (HOMA-IR), triglyceride-glucose index (TyG), triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL-C), triglyceride-glucose body mass index (TyG-BMI) and metabolic score for insulin resistance (METS-IR). MUP was defined as at least two abnormal metabolic components. Modified Poisson regression estimated prevalence ratios (PRs) per 1-standard-deviation increment and across quartiles. Fully adjusted models included 1721 CHNS and 2799 NHANES participants. Receiver operating characteristic curves and areas under the curve (AUCs) provided a descriptive, exploratory assessment of internal discrimination. Results: All five indices were positively associated with MUP in both datasets. Fully adjusted PRs per 1-standard-deviation increment ranged from 1.027 (95% confidence interval 1.011-1.043) for HOMA-IR to 1.133 (1.110-1.157) for TyG in CHNS and from 1.058 (1.024-1.094) for TG/HDL-C to 1.168 (1.144-1.192) for TyG in NHANES. Positive quartile gradients were observed for all indices ( Conclusions: Higher values of all five indices were associated with MUP among women with overweight or obesity in both datasets. These findings highlight the co-occurrence of insulin resistance-related glucose and lipid disturbances with clustered metabolic abnormalities. They support considering metabolic function alongside adiposity when characterising endocrine-metabolic heterogeneity among women with overweight or obesity.

Indexed as

cardiometabolic riskcross-sectional studyHOMA-IRmetabolically unhealthy phenotypeMETS-IRobesityoverweighttriglyceride–glucose indexwomen

Identifiers

PMID42876970
PMCPMC13662632

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