Latent class cluster analysis of knowledge on acute myocardial infarction in community residents: a cross-sectional study in Tianjin, China
Objective Public knowledge of early onset symptoms and risk factors (RF) of acute myocardial infarction (AMI) is very important for prevention, recurrence and guide medical seeking behaviours. This study aimed to identify clusters of knowledge on symptoms and RFs of AMI, compare characteristics and...
Saved in:
Main Authors: | Jing Wang, Xu Zhang, Yan Zhang, Jing Ma, Nan Zhang, Yuan Wang, Jing Gao, Jian-yong Xiao, Yin Liu, Ji-xiang Wang, Xiao-wei Li, Ming-dong Gao, Jing-xian Wang, Shi-bo Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
BMJ Publishing Group
2022-06-01
|
Series: | BMJ Open |
Online Access: | https://bmjopen.bmj.com/content/12/6/e051952.full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advanced Machine Learning to Predict Coronary Artery Disease Severity in Patients with Premature Myocardial Infarction
by: Yu-Hang Wang, et al.
Published: (2025-01-01) -
Macrophage Activities in Myocardial Infarction and Heart Failure
by: Sophia Esi Duncan, et al.
Published: (2020-01-01) -
Imperatorin’s Effect on Myocardial Infarction Based on Network Pharmacology and Molecular Docking
by: Ruizhe Zhang, et al.
Published: (2025-01-01) -
Improved Risk Prediction of Acute Myocardial Infarction in Patients With Stable Coronary Artery Disease Using an Amino Acid-Assisted Model
by: Yi-Jing Zhao, et al.
Published: (2024-01-01) -
Latent Graph Induction Networks and Dependency Graph Networks for Events Detection
by: Jing Yang, et al.
Published: (2025-01-01)