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Aim: The aim of this study was to investigate the association between the metabolic score for insulin resistance (METS-IR) and serum ferritin in females from the United States.
Methods: We conducted a cross-sectional study with 4,182 participants from the National Health and Nutrition Examination Survey (NHANES). We used METS-IR and serum ferritin as the independent and dependent variables in this study and investigated the relationship by using multiple linear regression and verified the non-linear relationship with a smooth curve fit and threshold effect model.
Results: There was a positive relationship between METS-IR and serum ferritin, with an effect value of (β = 0.29, 95% CI: 0.14-0.44) in a fully adjusted model adjusted for potential confounders. This positive correlation became more significant as METS-IR increased (p for trend < 0.001). Subsequent subgroup analyses showed that sensitive cohorts were those aged ≥40 years, black, and with a body mass index (BMI) < 24.9 kg/m. In a smoothed curve fit analysis, the correlation between METS-IR and serum ferritin was a straight linear relationship in all participants included in this study, but when stratified by age, race, and BMI, this positive correlation in the participants who were aged ≥40 years old, other race, and had a BMI < 24.9 kg/m was non-linear.
Conclusions: There was a positive association between METS-IR and serum ferritin in United States females, and this positive association was more pronounced in participants aged ≥40 years, black race and BMI < 24.9 kg/m. This positive association was non-linear in the subgroups aged ≥40 years, white race and BMI < 24.9 kg/m, with inflection points for METS-IR of 69.97, 67.84 and 35.84 in these respective subgroups.
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http://dx.doi.org/10.3389/fmed.2022.925344 | DOI Listing |
Lipids Health Dis
August 2025
Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Background: The Metabolic Score for Insulin Resistance (METS-IR) is a novel biomarker for evaluation of insulin resistance (IR). Emerging evidence suggests this metric may be able to predict the onset of metabolic syndrome (MetS). The aim of this study was to determine whether there is a correlation between sustained METS-IR values and the future risk of MetS.
View Article and Find Full Text PDFSci Rep
July 2025
Department of Cardiology, Hebei General Hospital, No. 348, Heping West Road, Shijiazhuang, 050051, Hebei Province, China.
Triglyceride glucose-body mass index (TyG-BMI) is an indicator of insulin resistance (IR) and is associated with an increased risk of adverse cardiovascular events. Insulin resistance (IR) is an important pathogenesis of diabetes mellitus, and also an important factor affecting the incidence and prognosis of cardiovascular diseases. However, the relationship between TyG-BMI and CIN in patients with STEMI has not been studied.
View Article and Find Full Text PDFJ Inflamm Res
April 2025
Department of Infectious Disease, Fuyang People's Hospital, Fuyang, Anhui, People's Republic of China.
Background: Bilirubin, as a potent endogenous antioxidant, has demonstrated protective effects in various metabolic and inflammatory diseases. However, the precise role and underlying mechanisms of bilirubin in metabolic-associated fatty liver disease (MAFLD) remain unclear.
Methods: This study involved 3000 participants, categorized into non-MAFLD and MAFLD groups.
Ren Fail
December 2025
Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Objective: To systematically evaluate the association between insulin resistance indices and the risk of kidney stones and their recurrence in U.S. non-diabetic individuals, while identifying predictive indicators.
View Article and Find Full Text PDFExp Gerontol
June 2025
Department of Geriatrics, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, No. 453 Tiyuchang Road, Hangzhou, Zhejiang 310007, China. Electronic address:
Objective: This study endeavors to unveil the association between the Metabolic Score for Insulin Resistance (METS-IR) and stroke among adults utilizing data of the National Health and Nutrition Examination Survey (NHANES) and the China Health and Retirement Longitudinal Study (CHARLS), and whether oxidative stress (OS) mediates their association.
Methods: Our study cohort comprised 101,316 individuals from NHANES and 17,708 individuals from CHARLS. The intricate relationships among the METS-IR, stroke, and OS biomarkers were evaluated via logistic regression, restricted cubic splines (RCS), as well as mediation analysis.