The association between non-alcoholic fatty liver disease and hepatic steatosis index with triglyceride-glucose index among Iranian adults of the Amol Cohort Study: a cross-sectional study

This study aimed to investigate the association between non-alcoholic fatty liver disease (NAFLD), the Hepatic Steatosis Index (HSI), a surrogate marker of hepatic steatosis, and the triglyceride-glucose (TyG) index in a large Iranian population. This cross-sectional study included 3,120 participants from the second phase of the Amol Cohort Study. Venous blood samples were collected after a 12-hour overnight fast, and NAFLD was diagnosed using abdominal ultrasonography. The associations between TyG index tertiles and continuous TyG values and NAFLD and HSI were evaluated using multivariable logistic regression models. Statistical analyses were performed using SPSS, whereas receiver operating characteristic (ROC) analysis, calibration, bootstrap validation, and DeLong tests were conducted using R. Compared with participants in the first tertile of the TyG index, those in the second and third tertiles had significantly higher odds of NAFLD and elevated HSI in both the crude and adjusted models. In the second tertile, the crude odds ratios (ORs) were 2.499 (95% confidence interval [CI]: 2.070–3.018; P < 0.001) for NAFLD and 2.333 (95% CI: 1.956–2.782; P < 0.001) for elevated HSI. After adjustment for potential confounders, the corresponding ORs were 1.749 (95% CI: 1.388–2.203; P < 0.001) and 1.701 (95% CI: 1.248–2.320; P = 0.001), respectively. In the highest tertile, the crude ORs were 6.067 (95% CI: 5.009–7.349; P < 0.001) for NAFLD and 4.723 (95% CI: 3.923–5.692; P < 0.001) for elevated HSI, whereas the adjusted ORs were 3.629 (95% CI: 2.864–4.598; P < 0.001) and 3.171 (95% CI: 2.276–4.419; P < 0.001), respectively. Receiver operating characteristic (ROC) curve analysis demonstrated that HSI had the greatest discriminatory ability for identifying NAFLD, followed by the anthropometric indices, whereas the TyG index showed moderate discriminatory performance. The findings of this study indicate a significant association between the TyG index and NAFLD-related markers, including HSI, in a large Iranian population. However, the TyG index demonstrated lower discriminatory ability than HSI and several anthropometric indices, suggesting that it should be considered a moderate rather than a superior predictor of NAFLD.

Authors

Institutions

Publication Details

Journal
Journal of Health Population and Nutrition
Published
2026-11-09
DOI
https://doi.org/10.1186/s41043-026-01426-3
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

The association between non-alcoholic fatty liver disease and hepatic steatosis index with triglyceride-glucose index among Iranian adults of the Amol Cohort Study: a cross-sectional study

Nima Motamed, Farhad Zamani, Zainab Shateri, Mehran Nouri et al.
Journal of Health Population and Nutrition
Liver Disease Diagnosis and Treatment
article

The association between non-alcoholic fatty liver disease and hepatic steatosis index with triglyceride-glucose index among Iranian adults of the Amol Cohort Study: a cross-sectional study

Nima Motamed, Farhad Zamani, Zainab Shateri, Mehran Nouri, Elham Sobhrakhshankhah, Catherine Behzad, Mansooreh Maadi, Marzieh Mahmoodi, Hossein Ajdarkosh, Azam Doustmohammadian
article en

Abstract

This study aimed to investigate the association between non-alcoholic fatty liver disease (NAFLD), the Hepatic Steatosis Index (HSI), a surrogate marker of hepatic steatosis, and the triglyceride-glucose (TyG) index in a large Iranian population. This cross-sectional study included 3,120 participants from the second phase of the Amol Cohort Study. Venous blood samples were collected after a 12-hour overnight fast, and NAFLD was diagnosed using abdominal ultrasonography. The associations between TyG index tertiles and continuous TyG values and NAFLD and HSI were evaluated using multivariable logistic regression models. Statistical analyses were performed using SPSS, whereas receiver operating characteristic (ROC) analysis, calibration, bootstrap validation, and DeLong tests were conducted using R. Compared with participants in the first tertile of the TyG index, those in the second and third tertiles had significantly higher odds of NAFLD and elevated HSI in both the crude and adjusted models. In the second tertile, the crude odds ratios (ORs) were 2.499 (95% confidence interval [CI]: 2.070–3.018; P < 0.001) for NAFLD and 2.333 (95% CI: 1.956–2.782; P < 0.001) for elevated HSI. After adjustment for potential confounders, the corresponding ORs were 1.749 (95% CI: 1.388–2.203; P < 0.001) and 1.701 (95% CI: 1.248–2.320; P = 0.001), respectively. In the highest tertile, the crude ORs were 6.067 (95% CI: 5.009–7.349; P < 0.001) for NAFLD and 4.723 (95% CI: 3.923–5.692; P < 0.001) for elevated HSI, whereas the adjusted ORs were 3.629 (95% CI: 2.864–4.598; P < 0.001) and 3.171 (95% CI: 2.276–4.419; P < 0.001), respectively. Receiver operating characteristic (ROC) curve analysis demonstrated that HSI had the greatest discriminatory ability for identifying NAFLD, followed by the anthropometric indices, whereas the TyG index showed moderate discriminatory performance. The findings of this study indicate a significant association between the TyG index and NAFLD-related markers, including HSI, in a large Iranian population. However, the TyG index demonstrated lower discriminatory ability than HSI and several anthropometric indices, suggesting that it should be considered a moderate rather than a superior predictor of NAFLD.

Journal of Health Population and Nutrition
Zanjan University of Medical Sciences (IR), Iran University of Medical Sciences (IR), Medical University of Ilam (IR), Bushehr University of Medical Sciences (IR), Babol University of Medical Sciences (IR)
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon