Dietary amino acid composition and elevated fasting glucose in children and adolescents from four Chinese provinces: a cross-sectional study combining regression and machine learning
- DOI
- 10.3389/fpubh.2026.1912084
- Published
- 2026-10-26
- Container
- Frontiers in Public Health
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpubh.2026.1912084,
title = {Dietary amino acid composition and elevated fasting glucose in children and adolescents from four Chinese provinces: a cross-sectional study combining regression and machine learning},
author = {Yao Chen and Yanfeng Shang and Hongwei Wang and Qianrang Zhu and Yiya Liu and Meina Tian and Changqing Liu and Yanqi Sun and Zhenchuang Tang and Lianlong Yu},
year = {2026},
journal = {Frontiers in Public Health},
doi = {10.3389/fpubh.2026.1912084},
url = {https://doi.org/10.3389/fpubh.2026.1912084}
}RIS
TY - JOUR TI - Dietary amino acid composition and elevated fasting glucose in children and adolescents from four Chinese provinces: a cross-sectional study combining regression and machine learning AU - Yao Chen AU - Yanfeng Shang AU - Hongwei Wang AU - Qianrang Zhu AU - Yiya Liu AU - Meina Tian AU - Changqing Liu AU - Yanqi Sun AU - Zhenchuang Tang AU - Lianlong Yu PY - 2026 JO - Frontiers in Public Health DO - 10.3389/fpubh.2026.1912084 UR - https://doi.org/10.3389/fpubh.2026.1912084 ER -
APA
Chen, Y., Shang, Y., Wang, H., Zhu, Q., Liu, Y., Tian, M., Liu, C., Sun, Y., Tang, Z., & Yu, L. (2026). Dietary amino acid composition and elevated fasting glucose in children and adolescents from four Chinese provinces: a cross-sectional study combining regression and machine learning. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2026.1912084
Source records
- crossref · retrieved 2026-11-10T16:51:57.341Z