Development of a predictive model for the U-shaped relationship between the triglyceride glycemic index and depression using machine learning (NHANES 2009–2018)

The results of this investigation point to a U-shaped association between depression risk and the TyG index among Americans. Those with a TyG index of over 8.16 are significantly more likely to develop depression. These results suggest a possible causal relationship and emphasize the importance of monitoring the TyG index in depression risk assessment.

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Publication Details

Journal
Heliyon
Published
2024-09-28
DOI
https://doi.org/10.1016/j.heliyon.2024.e38615
Citations
5
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.93
Controls
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article

Development of a predictive model for the U-shaped relationship between the triglyceride glycemic index and depression using machine learning (NHANES 2009–2018)

Rong Huang, Chao Ding, Jiwei Cheng, Zhiyu Kong
5 citations
Heliyon
Liver Disease Diagnosis and Treatment
1.93
article

Development of a predictive model for the U-shaped relationship between the triglyceride glycemic index and depression using machine learning (NHANES 2009–2018)

Rong Huang, Chao Ding, Jiwei Cheng, Zhiyu Kong
article en
5 citations

Abstract

The results of this investigation point to a U-shaped association between depression risk and the TyG index among Americans. Those with a TyG index of over 8.16 are significantly more likely to develop depression. These results suggest a possible causal relationship and emphasize the importance of monitoring the TyG index in depression risk assessment.

HeliyonVol. 10(19)
Shanghai University of Traditional Chinese Medicine (CN), South China University of Technology (CN)
Openalex Percentile: Top 13%
Liver Disease Diagnosis and Treatment
1.93
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