Sleep quality patterns in patients with heart failure: a person-centred latent class analysis from a secondary analysis of the MOTIVATE-HF trial.

ABSTRACT:

Objectives

To identify distinct sleep quality patterns among patients with heart failure (HF) using a person-centred approach and explore demographic and clinical predictors of these patterns.

Design

Secondary analysis of baseline cross-sectional data from the MOTIVATE-HF (MOTIVATional intErviewing to improve self-care in Heart Failure patients) randomised controlled trial. Latent class analysis (LCA) was applied to Pittsburgh Sleep Quality Index (PSQI) component scores to identify distinct subgroups of patients. Demographic, clinical and psychological variables were examined as potential predictors of cluster membership.

Setting

Three healthcare settings in Italy: hospital, outpatient and community-based care.

Participants

510 adult patients diagnosed with HF

SUBMITTER: Iovino P 

PROVIDER: S-EPMC12336536 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature