Postdischarge smoking cessation in subgroups of hospitalized smokers: A latent class analysis.

ABSTRACT:

Background

Hospitalization presents a window of opportunity to treat smoking, and hospital-initiated smoking treatment has demonstrated effectiveness. Despite effective interventions, not all smokers will discontinue use, highlighting the need to better understand which patients achieve cessation. Traditional regression methods may not capture the complexity of inpatient smoker subgroups.

Methods

Latent class analysis (LCA) was conducted with data from 397 hospitalized adult cigarette smokers enrolled in a randomized trial. Six categorical indicator variables known to impact cessation were selected to estimate subgroups: health conditions (smoking-related disease [SRD], depressive symptoms, positive screen for alcohol problems) and smoking-related variables (time to first ci

SUBMITTER: Ylioja T 

PROVIDER: S-EPMC6168063 | biostudies-literature | 2017 Oct-Dec

REPOSITORIES: biostudies-literature