Association between insulin resistance and multiple chronic diseases: a cross-sectional study from CHARLS

IR-related indices were positively associated with the prevalence of multiple chronic diseases. The burden of chronic diseases can be reduced by improving IR in middle-aged and older people.

Authors

Institutions

Publication Details

Journal
Journal of Health Population and Nutrition
Published
2025-05-09
DOI
https://doi.org/10.1186/s41043-025-00878-3
Citations
5
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
6.77

Funders

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

Association between insulin resistance and multiple chronic diseases: a cross-sectional study from CHARLS

Zhenliang Fan, Ming Xu, Wen-Ze Jiang, En-Hui Qian et al.
5 citations
Journal of Health Population and Nutrition
Liver Disease Diagnosis and Treatment
6.77
article

Association between insulin resistance and multiple chronic diseases: a cross-sectional study from CHARLS

Zhenliang Fan, Ming Xu, Wen-Ze Jiang, En-Hui Qian, Ke-Da Lu
article en
5 citations

Abstract

IR-related indices were positively associated with the prevalence of multiple chronic diseases. The burden of chronic diseases can be reduced by improving IR in middle-aged and older people.

Journal of Health Population and NutritionVol. 44(1)
Zhejiang Chinese Medical University (CN), The Third Affiliated Hospital of Zhejiang Chinese Medical University (CN)
Department of Education of Zhejiang Province
Zero hunger
Openalex Percentile: Top 3%
Liver Disease Diagnosis and Treatment
6.77
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.