ArticleClinical interventions in aging2025
Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression.
Article in Clinical interventions in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association between vitamin D status and insulin resistance in Korean adolescents: differential effects of obesity using non-insulin-based indices.BMC pediatrics · 2026Article
- Research advances on acute kidney injury and brain dysfunction.Frontiers in nephrology · 2026Review
- Association between the triglyceride to high-density lipoprotein cholesterol ratio and 90-day post-stroke depression in acute ischemic stroke.Frontiers in psychiatry · 2026Article
- Association of higher triglyceride glucose index and triglyceride to high density lipoprotein cholesterol ratio with early-onset post-stroke depression.Scientific reports · 2025Article
- The interaction and joint effects of the hemoglobin-to-red cell distribution width ratio and the triglyceride-glucose index (TyG) on depressive symptoms among residents of Nanjing City, along with the mediating role of TyG: a population-based study of 181,752 participants.Translational psychiatry · 2025Article
- The triglyceride-glucose index: updating evidence from clinical settings to molecular mechanisms in ageing-related cerebrovascular diseases.Cardiovascular diabetology · 2025Review
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8 authors.
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Abstract
Purpose: Research suggests that insulin resistance (IR) is associated with acute ischemic stroke (AIS) and depression. The use of insulin-based IR assessments is complicated. Therefore, we explored the relationship between four non-insulin-based IR indices and post-stroke depression (PSD). Patients and Methods: A total of 638 consecutive AIS patients were enrolled in this prospective cohort study. Clinical data were collected to compute indices such as the triglyceride glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI), insulin resistance metabolic score (METS-IR), and triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C). One month post-stroke, neuropsychological assessments were conducted using the 17-item Hamilton Depression Scale. Binary logistic regression analysis was performed to explore the relationship between the four non-insulin-based IR indices and PSD. Results: Ultimately, 381 patients completed the 1-month follow-up, including 112 (29.4%) with PSD. The PSD group exhibited significantly higher levels of the four IR indices compared to the non-PSD group. Logistic regression analysis demonstrated that these indicators were independently associated with PSD occurrence, both before and after adjusting for potential confounders (all P < 0.001). Tertile analyses indicated that the highest tertile group had a greater risk of PSD occurrence than the lowest tertile group for four IR indicators, even after adjusting for potential confounders (all P < 0.05). Restricted cubic spline analysis revealed a linear dose-response relationship between the four IR indices and PSD. In the subgroup analysis, only the TyG index showed a significant interaction with diabetes (P for interaction = 0.014). The area under curve values for the TyG index, TyG-BMI, METS-IR, and TG/HDL-C were 0.700, 0.721, 0.711, and 0.690, respectively. Conclusion: High TyG index, TyG-BMI, METS-IR, and TG/HDL-C at baseline were independent risk factors for PSD in AIS. Each of these indicators exhibits predictive value for PSD occurrence, aiding in the early identification of high-risk groups.
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