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Background: An association between insulin resistance (IR) and depression has been identified in recent years. The purpose of this study was to examine the relationship between IR and depression in the general population.
Methods: The population for this cross-sectional study consisted of adults participating in the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018. Insulin sensitivity was assessed using the Metabolic Score for IR (METS-IR) index, while depression was evaluated using the Patient Health Questionnaire (PHQ)-9. Logistic regression analyses, subgroup analyses, and dose-response curves were conducted to assess the association between the METS-IR index and depression.
Results: A total of 13,157 adults aged over 20 years were included in this study. After adjusting for potential confounders, it was observed that each unit increase in the METS-IR index was associated with a 1.1 percentage point increase in the prevalence of depression (OR = 1.011; 95 % CI: 1.008, 1.014). Patients in the 4th quartile of the METS-IR index had a higher likelihood of depression compared to those in the 1st quartile (OR = 1.386, 95 % CI: 1.239, 1.549). Stratified analyses demonstrated consistent results in all subgroups, except for men, patients under 40 years of age, and those with a history of cancer. Dose-response curves indicated a nonlinear relationship between the METS-IR index and the risk of depression, with an inflection point value of 32.443 according to threshold effect analysis.
Conclusions: Our findings suggest that higher METS-IR scores are associated with an increased likelihood of experiencing depressive symptoms among U.S. adults.
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http://dx.doi.org/10.1016/j.jad.2024.03.129 | DOI Listing |
Horm Metab Res
September 2025
Department of Obstetrics, Fujian Maternity and Child Health Hospital, Fuzhou, China.
The non-insulin-based metabolic score for insulin resistance (METS-IR) is a recently developed index aimed at being a practical and efficient alternative biomarker of insulin resistance (IR). This study aimed to investigate the association between METS-IR in euthyroid women in the first trimester of pregnancy and pregnancy outcomes. A total of 1810 participants who gave birth at Fujian Maternity and Child Health Hospital from November 2018 to November 2019 were included in this study.
View Article and Find Full Text PDFSci Rep
September 2025
College of First Clinical Medical, Shandong University of Traditional Chinese Medicine, Jinan, China.
Obstructive sleep apnea (OSA) is associated with metabolic disorders such as insulin resistance and liver fat accumulation. However, the specific mediating role of liver-related metabolic indicators in this association has not been fully studied. The purpose of this study was to investigate the relationship between Metabolic Score for Insulin Resistance (METS-IR) and OSA, focusing on the mediating effects of liver fat percentage (PLF) and hepatic steatosis index (HSI).
View Article and Find Full Text PDFObes Res Clin Pract
August 2025
Department of Family Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si 16995, South Korea. Electronic address:
Background: Reliable markers are crucial for the early detection and management of pediatric metabolic syndrome (MS).
Methods: 1593 children and adolescents were included from Korea National Health and Nutrition Examination Survey 2019-2021. We assessed homeostasis model assessment of insulin resistance (HOMA-IR), triglycerides-glucose index (TyG), triglycerides/high-density lipoprotein cholesterol (TG/HDL), the Metabolic Score for IR (METS-IR), and single-point insulin sensitivity estimator (SPISE) as predictors of MS.
Diabetol Metab Syndr
August 2025
Department of Biostatistics, School of Public Health, Peking University, 38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
Background: Insulin resistance (IR) is an established independent risk factor for cardiovascular disease (CVD). Although numerous simple surrogate indicators for IR have been proposed, their comparative predictive utility for CVD remains unclear. This study aimed to evaluate the associations between nine IR surrogate indicators and incident CVD and to comparatively assess their predictive capacities using nationally representative data from China.
View Article and Find Full Text PDFLipids 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.
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