Exploring Symptom Clusters in People With Heart Failure.

Patients with heart failure (HF) experience multiple symptoms or symptom clusters. The purposes of this study were to (a) determine if distinct latent classes of HF symptoms could be identified, and (b) explore whether sociodemographic and clinical characteristics influenced symptom cluster membersh...

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Published in:Clinical Nursing Research Vol. 28; no. 2; pp. 165 - 182
Main Authors: Park, Jumin, Moser, Debra K., Griffith, Kathleen, Harring, Jeffrey R., Johantgen, Meg
Format: research tables/charts Journal Article
Published: Sage Publications Inc. Feb2019
Online Access:View this record in EBSCOhost
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      dt: Feb2019
      vid: 28
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        10.1177/1054773817729606
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        atl: Exploring Symptom Clusters in People With Heart Failure.
      aug:
        au:
          Park, Jumin
          Moser, Debra K.
          Griffith, Kathleen
          Harring, Jeffrey R.
          Johantgen, Meg
        affil: National Institutes of Health Clinical Center, Bethesda, MD, USA
      sug:
        subj:
          Heart Failure Symptoms
          Human
          Male
          Female
          Middle Age
          Body Mass Index
          Comorbidity
          Chi Square Test
          Socioeconomic Factors
          Confidence Intervals
          Stress, Psychological
          Stress, Physiological
          Secondary Analysis
          Cluster Analysis
          Questionnaires
          Middle Aged: 45-64 years
          Male
          Female
      ab: Patients with heart failure (HF) experience multiple symptoms or symptom clusters. The purposes of this study were to (a) determine if distinct latent classes of HF symptoms could be identified, and (b) explore whether sociodemographic and clinical characteristics influenced symptom cluster membership. A total of 4,011 HF patients recruited from outpatient setting completed the Minnesota Living With Heart Failure Questionnaire (MLHFQ), including five physical symptoms (edema, shortness of breath, fatigue-increased need to rest, fatigue-low energy, and sleep difficulties) and three psychological symptoms (worrying, feeling depressed, and cognitive problems). Four distinct classes using latent class profile analysis were identified: low distress (Class 1), physical distress (Class 2), psychological distress (Class 3), and high distress (Class 4). Significant differences among the four latent classes were found for age, education level, and comorbidities. Symptom clusters are useful for recognition of HF symptoms, allowing for the development of strategies that target symptom groups.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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