ArticleLipids in health and disease2025
The value of triglyceride-glucose index-related indices in evaluating migraine: perspectives from multi-centre cross-sectional studies and machine learning models.
Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Episodic migraine is associated with a more atherogenic lipid profile rather than independent insulin resistance: a case-control study.Lipids in health and disease · 2026Article
- Association between total dietary sugar intake and gallstones in Americans.Scientific reports · 2026Article
- The relationship between triglyceride levels and medication overuse headache in patients with chronic migraine.Journal of oral & facial pain and headache · 2026Article
- Linear Association of Derivatives of Triglyceride-Glucose Index with Incident Lower Limb Joint Pain in Middle-Aged and Older Chinese Adults: A Prospective Cohort Study.Journal of pain research · 2026Article
- Association between carbohydrate consumption and self-assessed severe headache or migraine among American adults.Journal of nutritional science · 2026Article
- Systemic Inflammation and Oxidative Stress Markers in Patients With Medication Overuse Headache.Brain and behavior · 2025Article
- Household fuel use and migraine among Chinese adults aged 45 years and older: The modifying effects of sleep.PloS one · 2025Article
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10 authors.
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Abstract
backgroundThis study employed representative data from the U.S. and China to delve into the correlation among migraine prevalence, the triglyceride‒glucose index, a marker of insulin resistance, and the composite indicator of obesity.
methodsCross-sectional data were acquired from the National Health and Nutrition Examination Survey conducted between 1999 and 2004, as well as from the China Longitudinal Study of Health and Retirement (CHARLS) performed from 2011 to 2012. Weighted logistic regression analysis, subgroup analysis, smooth curve fitting and threshold effect analysis were used to ascertain the intricate relationships among triglyceride glucose-body mass index (TyG-BMI), triglyceride glucose-waist circumference (TyG-WC), triglyceride glucose-waist height ratio (TyG-WHtR) and migraine. Boruta's algorithm and nine machine learning models were applied. SHapley Additive Explanations (SHAP) values were used to analyze leading models, highlighting influential features.
resultsThe analysis included 6,204 U.S. participants and 9,401 Chinese participants. TyG-BMI as well as TyG-WHtR were shown to be strongly correlated with the incidence of migraine among U.S. adults (TyG-BMI: OR = 1.28, 95% CI 1.14-1.44, P < 0.001; TyG-WHtR: OR = 1.17, 95% CI 1.09-1.26, P < 0.001). However, this correlation was not detected in Chinese adults. TyG-BMI indicated a strong positive association beyond the threshold of 206, while TyG-WHtR demonstrated a significant positive link below the cutoff of 7.4. In addition, age was an important interaction factor between TyG-BMI and TyG-WHtR and migraine. The XGBoost model showed excellent performance, with higher AUC values for TyG-BMI than for TyG-WHtR (0.929/0.926).
conclusionsThe TyG-BMI, relative to the TyG-WHtR, may provide clinicians with information about patients' insulin sensitivity, thus helping to develop individualized treatment strategies. These findings contribute to population-level health interventions aimed at mitigating metabolic and neurological disease burdens, ensuring healthy lives and promoting well-being.
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