Exploring predictive factors of physiological, biochemical indicators, and lifestyle for macrovascular complications in type 2 diabetes: a synthesis of machine learning models

Among patients with vascular complications, the disconnect between health behavior risks and subjective health perception is more pronounced. Elevated body temperature, high blood pressure, triglycerides, and fasting glucose indicate inflammation, increasing cardiovascular risk; moderate regular exercise provides protection.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2026-02-17
DOI
https://doi.org/10.3389/fendo.2026.1696240
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring predictive factors of physiological, biochemical indicators, and lifestyle for macrovascular complications in type 2 diabetes: a synthesis of machine learning models

Bo Shang, Chengjing Wei, Yaoqin Lu, Yukai Li et al.
Frontiers in Endocrinology
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Exploring predictive factors of physiological, biochemical indicators, and lifestyle for macrovascular complications in type 2 diabetes: a synthesis of machine learning models

Bo Shang, Chengjing Wei, Yaoqin Lu, Yukai Li, Yunlong Li, Sheng Jiang, Qingyue Yang
article en

Abstract

Among patients with vascular complications, the disconnect between health behavior risks and subjective health perception is more pronounced. Elevated body temperature, high blood pressure, triglycerides, and fasting glucose indicate inflammation, increasing cardiovascular risk; moderate regular exercise provides protection.

Frontiers in EndocrinologyVol. 17
Xinjiang Medical University (CN), First Affiliated Hospital of Xinjiang Medical University (CN), Yili Normal University (CN), Xinjiang Uygur Autonomous Region Disease Prevention and Control Center (CN), Taiwan Centers for Disease Control (TW)
Natural Science Foundation of Xinjiang Province
Good health and well-being
Openalex Percentile: Top 54%
Diabetes, Cardiovascular Risks, and Lipoproteins
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Exploring predictive factors of physiological, biochemical indicators, and lifestyle for macrovascular complications in type 2 diabetes: a synthesis of machine learning models — Bo Shang, Chengjing Wei, et al. · Frontiers in Endocrinology (2026) | TGRS Research Map | TGRS