Associations between body fat anthropometric indices and mortality among individuals with metabolic syndrome

Among eight body fat AIs, the ABSI exhibited the strongest predictive power for mortality in individuals with MetS. Higher ABSI values significantly increased all-cause mortality and CCD mortality in participants with MetS.

Authors

Institutions

Publication Details

Journal
Lipids in Health and Disease
Published
2024-09-27
DOI
https://doi.org/10.1186/s12944-024-02272-0
Citations
20
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
6.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations between body fat anthropometric indices and mortality among individuals with metabolic syndrome

Jianyou Shi, Zhiyuan Chen, Yuanfeng Zhang
20 citations
Lipids in Health and Disease
Nutrition and Health in Aging
6.53
article

Associations between body fat anthropometric indices and mortality among individuals with metabolic syndrome

Jianyou Shi, Zhiyuan Chen, Yuanfeng Zhang
article en
20 citations

Abstract

Among eight body fat AIs, the ABSI exhibited the strongest predictive power for mortality in individuals with MetS. Higher ABSI values significantly increased all-cause mortality and CCD mortality in participants with MetS.

Lipids in Health and DiseaseVol. 23(1)
Wenzhou Medical University (CN), Shanghai Third People's Hospital (CN), Shantou Central Hospital (CN), The Third Affiliated Hospital of Zhejiang Chinese Medical University (CN), Wenzhou City People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 3%
Nutrition and Health in Aging
6.53
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.