Association Between Weight-Adjusted Waist Index and Periodontitis: A Cross-Sectional Study and Mediation Analysis

A higher WWI in Chinese adults was linked to an increased likelihood of periodontitis, and this correlation could be partially explained by elevated levels of TyG index-related indicators.

Authors

Institutions

Publication Details

Journal
Diabetes Metabolic Syndrome and Obesity
Published
2024-11-01
DOI
https://doi.org/10.2147/dmso.s491413
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association Between Weight-Adjusted Waist Index and Periodontitis: A Cross-Sectional Study and Mediation Analysis

Yayun Lu, Yudan He, Yufeng He, Hao Yang et al.
Diabetes Metabolic Syndrome and Obesity
Oral microbiology and periodontitis research
article

Association Between Weight-Adjusted Waist Index and Periodontitis: A Cross-Sectional Study and Mediation Analysis

Yayun Lu, Yudan He, Yufeng He, Hao Yang, Lina Zhao, Chen Dong
article en

Abstract

A higher WWI in Chinese adults was linked to an increased likelihood of periodontitis, and this correlation could be partially explained by elevated levels of TyG index-related indicators.

Diabetes Metabolic Syndrome and ObesityVol. Volume 17
Fudan University (CN), Shanghai Medical Information Center (CN), Shanghai Stomatological Hospital (CN), Shanghai Ninth People's Hospital (CN), Inner Mongolia Medical University (CN)
Gender equality
Openalex Percentile: Top 76%
Oral microbiology and periodontitis research
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.