Different Metabolic Phenotypes of Obesity and 2 Decades Risk of Cardio–Renal–Metabolic Multimorbidity: Tehran Lipid and Glucose Study

Our results indicate that there is no benign phenotype of obesity beyond metabolically healthy normal weight regarding the incidence of CRM multimorbidity.

Authors

Institutions

Publication Details

Journal
Journal of the American Heart Association
Published
2025-09-01
DOI
https://doi.org/10.1161/jaha.124.040930
Citations
4
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
5.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Different Metabolic Phenotypes of Obesity and 2 Decades Risk of Cardio–Renal–Metabolic Multimorbidity: Tehran Lipid and Glucose Study

Danial Molavizadeh, Farzad Hadaegh, Soroush Masrouri, Farzad Esmaeili et al.
4 citations
Journal of the American Heart Association
Diabetes, Cardiovascular Risks, and Lipoproteins
5.18
article

Different Metabolic Phenotypes of Obesity and 2 Decades Risk of Cardio–Renal–Metabolic Multimorbidity: Tehran Lipid and Glucose Study

Danial Molavizadeh, Farzad Hadaegh, Soroush Masrouri, Farzad Esmaeili, Fereidoun Azizi
article en
4 citations

Abstract

Our results indicate that there is no benign phenotype of obesity beyond metabolically healthy normal weight regarding the incidence of CRM multimorbidity.

Journal of the American Heart AssociationVol. 14(18)
Research Institute for Endocrine Sciences (IR), Shahid Beheshti University of Medical Sciences (IR)
Openalex Percentile: Top 4%
Diabetes, Cardiovascular Risks, and Lipoproteins
5.18
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.