Association Analysis of Insulin Resistance Metabolic Score (METS-IR) and Gestational Diabetes Mellitus: Based on National Health and Nutrition Examination Survey Database From 2007 to 2018
Hou Wenxuan, Xu Lingyun, Tang Yujie, Zhang Ting, Han Zhen, Luo Xiao, Yang Zhao
{"title":"Association Analysis of Insulin Resistance Metabolic Score (METS-IR) and Gestational Diabetes Mellitus: Based on National Health and Nutrition Examination Survey Database From 2007 to 2018","authors":"Hou Wenxuan, Xu Lingyun, Tang Yujie, Zhang Ting, Han Zhen, Luo Xiao, Yang Zhao","doi":"10.1002/edm2.70062","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>This study focused on the association of the Insulin resistance metabolic score (METS-IR) with the risk of gestational diabetes mellitus (GDM) using data from the National Health and Nutrition Examination Survey (NHANES).</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Data from 6 cycles of NHANES (2007–2018) were analysed. Weighted logistic regression models were constructed to explore the relationship between METS-IR and GDM. Stratified and subgroup analyses with adjustment for confounding factors were carried out to explore the association between METS-IR and GDM.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>A total of 5189 samples were analysed. Based on the weighted logistic regression model, Ln(METS-IR) was positively associated with GDM with full adjustment (OR = 1.94, 95% CI 1.08–3.46, <i>p</i> < 0.005). After transferring Ln(METS-IR) into a categorical variable by quartiles, the positive connection between Ln(METS-IR) and GDM was still observed in the higher Ln(METS-IR) group compared to the lowest Ln(METS-IR) interval (OR of 1.86, 1.76 for participants in the Q3(3.73, 3.93) and Q4(3.93, 4.83) quartile, respectively, <i>p</i> < 0.05). The threshold effect model showed that when Ln(METS-IR) ≤ 4, the positive correlation between Ln(METS-IR) and GDM was more significant (β = 2.69, 95% CI 1.55–4.67, <i>p</i> = 0.0004). The area under the ROC curves of Ln(METS-IR) for GDM was 0.603, suggesting Ln(METS-IR) a more systematic predictor for GDM. Specifically, the OR and 95% CIs of GDM for women above high school in the Q2, Q3, and Q4 quartiles were 2.05 (1.04, 4.02), 3.41 (1.72, 6.78) and 2.78 (1.55, 4.99), respectively.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>METS-IR in women elevates the likelihood of GDM occurrence. METS-IR serves as a comprehensive alternative to HOMA-IR rather than HbA1c and non-based insulin level to predict GDM.</p>\n </section>\n </div>","PeriodicalId":36522,"journal":{"name":"Endocrinology, Diabetes and Metabolism","volume":"8 4","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/edm2.70062","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endocrinology, Diabetes and Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/edm2.70062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
This study focused on the association of the Insulin resistance metabolic score (METS-IR) with the risk of gestational diabetes mellitus (GDM) using data from the National Health and Nutrition Examination Survey (NHANES).
Methods
Data from 6 cycles of NHANES (2007–2018) were analysed. Weighted logistic regression models were constructed to explore the relationship between METS-IR and GDM. Stratified and subgroup analyses with adjustment for confounding factors were carried out to explore the association between METS-IR and GDM.
Results
A total of 5189 samples were analysed. Based on the weighted logistic regression model, Ln(METS-IR) was positively associated with GDM with full adjustment (OR = 1.94, 95% CI 1.08–3.46, p < 0.005). After transferring Ln(METS-IR) into a categorical variable by quartiles, the positive connection between Ln(METS-IR) and GDM was still observed in the higher Ln(METS-IR) group compared to the lowest Ln(METS-IR) interval (OR of 1.86, 1.76 for participants in the Q3(3.73, 3.93) and Q4(3.93, 4.83) quartile, respectively, p < 0.05). The threshold effect model showed that when Ln(METS-IR) ≤ 4, the positive correlation between Ln(METS-IR) and GDM was more significant (β = 2.69, 95% CI 1.55–4.67, p = 0.0004). The area under the ROC curves of Ln(METS-IR) for GDM was 0.603, suggesting Ln(METS-IR) a more systematic predictor for GDM. Specifically, the OR and 95% CIs of GDM for women above high school in the Q2, Q3, and Q4 quartiles were 2.05 (1.04, 4.02), 3.41 (1.72, 6.78) and 2.78 (1.55, 4.99), respectively.
Conclusion
METS-IR in women elevates the likelihood of GDM occurrence. METS-IR serves as a comprehensive alternative to HOMA-IR rather than HbA1c and non-based insulin level to predict GDM.