Quantitative computed tomography for assessing body composition in schizophrenia: a potential indicator of insulin resistance

Visceral adipose tissue and liver fat content, as measured by QCT, are robust and independent indicator of insulin resistance in patients with schizophrenia. A model combining QCT parameters with basic clinical covariates offers the best predictive performance for identifying IR risk in this population, highlighting the critical role of ectopic fat deposition in metabolic dysregulation.

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Publication Details

Journal
Frontiers in Psychiatry
Published
2025-12-08
DOI
https://doi.org/10.3389/fpsyt.2025.1676939
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantitative computed tomography for assessing body composition in schizophrenia: a potential indicator of insulin resistance

Mengyang Han, Fangsong Zhang, Chanjun Ding, Yuan Qin et al.
Frontiers in Psychiatry
Schizophrenia research and treatment
article

Quantitative computed tomography for assessing body composition in schizophrenia: a potential indicator of insulin resistance

Mengyang Han, Fangsong Zhang, Chanjun Ding, Yuan Qin, Lili Yuan, Xuexue Wang, Xinping Kuai, Jianye Zhang, Lei Chen, Jinhong Wang, Z. Xu
article en

Abstract

Visceral adipose tissue and liver fat content, as measured by QCT, are robust and independent indicator of insulin resistance in patients with schizophrenia. A model combining QCT parameters with basic clinical covariates offers the best predictive performance for identifying IR risk in this population, highlighting the critical role of ectopic fat deposition in metabolic dysregulation.

Frontiers in PsychiatryVol. 16
Shanghai Mental Health Center (CN)
China Postdoctoral Science Foundation
Openalex Percentile: Top 54%
Schizophrenia research and treatment
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