Associations of total protein, albumin, and globulin with insulin resistance: an NHANES study

The present cross-sectional study, for the first time, provided supportive evidence of positive associations of TP and GLB with IR, but not ALB, and demonstrated that TP and GLB might be useful markers for IR prevalence.

Authors

Institutions

Publication Details

Journal
Frontiers in Endocrinology
Published
2024-09-13
DOI
https://doi.org/10.3389/fendo.2024.1393137
Citations
11
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
3.93

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations of total protein, albumin, and globulin with insulin resistance: an NHANES study

Jia-Wei Tan, Jun‐Peng Xu, Rui‐Xiang Zeng, Liheng Guo et al.
11 citations
Frontiers in Endocrinology
Diabetes, Cardiovascular Risks, and Lipoproteins
3.93
article

Associations of total protein, albumin, and globulin with insulin resistance: an NHANES study

Jia-Wei Tan, Jun‐Peng Xu, Rui‐Xiang Zeng, Liheng Guo, Yu-Zhuo Zhang, Yong-Jie Kong, Minzhou Zhang
article en
11 citations

Abstract

The present cross-sectional study, for the first time, provided supportive evidence of positive associations of TP and GLB with IR, but not ALB, and demonstrated that TP and GLB might be useful markers for IR prevalence.

Frontiers in EndocrinologyVol. 15
Guangzhou University of Chinese Medicine (CN)
Guangdong Provincial Hospital of Traditional Chinese Medicine
Openalex Percentile: Top 5%
Diabetes, Cardiovascular Risks, and Lipoproteins
3.93
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.