Latent class cluster analysis of knowledge on acute myocardial infarction in community residents: a cross-sectional study in Tianjin, China.

ABSTRACT:

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 the awareness of the need for prompt treatment.

Design

Multistage stratified sampling was used in this cross-sectional study. Latent GOLD Statistical Package was used to identify and classify the respondent subtypes of the knowledge on AMI symptoms or modifiable RFs. Multivariable logistic regression was performed to identify factors that predicted high knowledge membership.

Participants

A structured questionnaire was used to interview 4200 community residents aged over 35

SUBMITTER: Liu Y 

PROVIDER: S-EPMC9196158 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature