The joint effect of cumulative metabolic parameters on the risk of type 2 diabetes: a population-based cohort study

Participants with more numbers of high-cumulative metabolic parameters were associated with a higher risk of incident T2D and prediabetes progression. A high level of normal FPG could enhance these risks.

Authors

Institutions

Publication Details

Journal
Nutrition & Metabolism
Published
2024-10-03
DOI
https://doi.org/10.1186/s12986-024-00848-2
Citations
5
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
1.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The joint effect of cumulative metabolic parameters on the risk of type 2 diabetes: a population-based cohort study

Xiaolin Zhu, Yuhong Liu, Hui Li, Kun Zhou et al.
5 citations
Nutrition & Metabolism
Diabetes, Cardiovascular Risks, and Lipoproteins
1.79
article

The joint effect of cumulative metabolic parameters on the risk of type 2 diabetes: a population-based cohort study

Xiaolin Zhu, Yuhong Liu, Hui Li, Kun Zhou, Wen-Yan Xiong, Yi-Bing Fan
article en
5 citations

Abstract

Participants with more numbers of high-cumulative metabolic parameters were associated with a higher risk of incident T2D and prediabetes progression. A high level of normal FPG could enhance these risks.

Nutrition & MetabolismVol. 21(1)
Nanchang Center for Disease Control and Prevention (CN)
Openalex Percentile: Top 13%
Diabetes, Cardiovascular Risks, and Lipoproteins
1.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.