Exploring the effect of the triglyceride-glucose index on bone metabolism in prepubertal children, a retrospective study: insights from traditional methods and machine-learning-based bone remodeling prediction

The TyG index is a reliable predictor of bone metabolic disorders in prepubertal obese children, and the interpretable CatBoost model provides a cost-effective tool for early intervention. This study has important implications for prevention strategies for disorders of bone metabolism in prepubertal obese children to reduce the risk of skeletal fragility in adulthood or old age.

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Publication Details

Journal
PeerJ
Published
2025-05-20
DOI
https://doi.org/10.7717/peerj.19483
Citations
1
Primary Topic
Bone health and osteoporosis research
Type
article
Field-Weighted Citation Impact
1.72
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article

Exploring the effect of the triglyceride-glucose index on bone metabolism in prepubertal children, a retrospective study: insights from traditional methods and machine-learning-based bone remodeling prediction

Shunshun Cao, Botian Song, Yangyang Hu, Aolei Chen
1 citations
PeerJ
Bone health and osteoporosis research
1.72
article

Exploring the effect of the triglyceride-glucose index on bone metabolism in prepubertal children, a retrospective study: insights from traditional methods and machine-learning-based bone remodeling prediction

Shunshun Cao, Botian Song, Yangyang Hu, Aolei Chen
article en
1 citations

Abstract

The TyG index is a reliable predictor of bone metabolic disorders in prepubertal obese children, and the interpretable CatBoost model provides a cost-effective tool for early intervention. This study has important implications for prevention strategies for disorders of bone metabolism in prepubertal obese children to reduce the risk of skeletal fragility in adulthood or old age.

PeerJVol. 13
Wenzhou Medical University (CN)
Good health and well-being
Openalex Percentile: Top 19%
Bone health and osteoporosis research
1.72
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