Evidence map›Paper›PMID 40413481›Full record

ArticleReproductive biology and endocrinology : RB&E2025

Potential of seven insulin resistance indicators as biomarkers to predict infertility risk in U.S. women of reproductive age: a cross-sectional study.

Ruihua Yan, Jiao Zhang, Hongyun Ma, Yang Wu, Yang Fan

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Article in Reproductive biology and endocrinology : RB&E, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ruihua YanDepartment of Obstetrics and Gynecology, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China.
Jiao ZhangDepartment of Obstetrics and Gynecology, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China.
Hongyun MaDepartment of Obstetrics and Gynecology, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China.
Yang WuDepartment of Obstetrics and Gynecology, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China.
Yang FanDepartment of Obstetrics and Gynecology, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China. 2627504111@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance(IR) is a key mechanism underlying both obesity and metabolic syndrome, with significant implications for the onset and progression of female infertility. This study systematically examines the associations between seven insulin resistance indicators and the risk of infertility in U.S. women of reproductive age, while also evaluating the diagnostic value of these indicators in predicting infertility.

methodThis cross-sectional study analyzed data from the 2013-2018 National Health and Nutrition Examination Survey (NHANES) to explore the relationship between seven insulin resistance indicators and infertility risk. The indicators included the Metabolic Score for Insulin Resistance (METS-IR), Triglyceride-Glucose Index (TyG), Triglyceride-Glucose-Waist Circumference (TyG-WC), Triglyceride-Glucose-Body Mass Index (TyG-BMI), Triglyceride-Glucose-Waist-to-Height Ratio (TyG-WHtR), Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), and Triglyceride/High-Density Lipoprotein Ratio (TG/HDL). Receiver Operating Characteristic (ROC) curves were used to assess the diagnostic accuracy of each insulin resistance indicator in predicting infertility. Additionally, smooth curve fitting and threshold effect analysis were employed to further explore the relationship between insulin resistance indicators with high diagnostic efficacy and infertility.

resultsThis study included 1,100 women aged 20-45, of whom 140 (12.61%) were diagnosed with infertility. The results revealed significant positive correlations between METS-IR, TyG-BMI, TyG-WC, TyG-WHtR, and infertility risk. Specifically, as TyG-WC and TyG-WHtR levels increased, the risk of infertility rose linearly, while METS-IR and TyG-BMI exhibited a nonlinear positive association with infertility risk. No significant correlations were observed between TyG, HOMA-IR, TG/HDL, and infertility. Finally, ROC curve analysis indicated that METS-IR outperformed the other six insulin resistance indicators in predicting infertility risk.

conclusionMETS-IR, TyG-BMI, TyG-WC, and TyG-WHtR are significantly associated with the risk of infertility in U.S. women of reproductive age, with METS-IR demonstrating the highest predictive power. These findings suggest that METS-IR may have substantial clinical utility in evaluating infertility risk.

Indexed as

Infertility, FemaleInsulin ResistanceRisk AssessmentAdultBiomarkersBlood GlucoseBody HeightBody Mass IndexBody WeightCross-Sectional StudiesFemaleHumansNutrition SurveysRisk FactorsTriglyceridesUnited StatesBiomarkersBlood GlucoseTriglyceridesFemale infertilityInsulin resistance-related indexesNHANES

Identifiers

PMID40413481
PMCPMC12102792

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.