Symptom Cluster Profiles Among Adults with Insomnia and Heart Failure

Samantha Conley, Sangchoon Jeon, Stephen Breazeale, Meghan O’Connell, Christopher S. Hollenbeak, Daniel Jacoby, Sarah Linsky, Henry Klar Yaggi, Nancy S. Redeker

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Objective/Background: Both heart failure (HF) and insomnia are associated with high symptom burden that may be manifested in clustered symptoms. To date, studies of insomnia have focused only on its association with single symptoms. The purposes of this study were to: (1) describe daytime symptom cluster profiles in adults with insomnia and chronic HF; and (2) determine the associations between demographic and clinical characteristics, insomnia and sleep characteristics and membership in symptom cluster profiles. Participants: One hundred and ninety-five participants [M age 63.0 (SD12.8); 84 (43.1%) male; 148 (75.9%) New York Heart Association Class I/II] from the HeartSleep study (NCT0266038), a randomized controlled trial of the sustained effects of cognitive behavioral therapy for insomnia (CBT-I). Methods: We analyzed baseline data, including daytime symptoms (fatigue, pain, anxiety, depression, dyspnea, sleepiness) and insomnia (Insomnia Severity Index), and sleep characteristics (Pittsburgh Sleep Quality Index, wrist actigraphy). We conducted latent class analysis to identify symptom cluster profiles, bivariate associations, and multinomial regression. Results: We identified three daytime symptom cluster profiles, physical (N = 73 participants; 37.4%), emotional (N = 12; 5.6%), and all-high symptoms (N = 111; 56.4%). Body mass index, beta blockers, and insomnia severity were independently associated with membership in the all-high symptom profile, compared with the other symptom profile groups. Conclusions: Higher symptom burden is associated with more severe insomnia in people with stable HF. There is a need to understand whether treatment of insomnia improves symptom burden as reflected in transition from symptom cluster profiles reflecting higher to lower symptom burden.

Original languageEnglish (US)
Pages (from-to)150-161
Number of pages12
JournalBehavioral Sleep Medicine
Issue number2
StatePublished - 2023

All Science Journal Classification (ASJC) codes

  • Neuroscience (miscellaneous)
  • Medicine (miscellaneous)
  • Psychology (miscellaneous)
  • Clinical Neurology


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