{"title":"Symptom cluster profiles among community-residing older adults with heart failure: Findings from the U.S. health and retirement study","authors":"Zequan Wang PhD, RN , Sangchoon Jeon PhD , Christine Tocchi PhD, APRN, BC-GNP , Samantha Conley PhD, RN , Stephen Walsh ScD , Kyounghae Kim PhD, RN , Deborah Chyun PhD, RN, FAHA, FAAN , Nancy Schmieder Redeker PhD, RN, FAHA, FAAN","doi":"10.1016/j.hrtlng.2025.07.006","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>As people grow older, years of exposure to cardiovascular risk factors progressively damage the heart’s structure and function, causing the incidence of heart failure (HF) to rise with age. Among older adults with HF, symptoms are manifested as clusters. Few studies have addressed symptoms specifically in older adults with HF, and most have been conducted with small samples.</div></div><div><h3>Objectives</h3><div>(1) describe symptom cluster profiles in older adults with HF in a nationally representative sample of community-dwelling older adults, and (2) determine the associations between demographic and clinical characteristics and membership in symptom cluster profiles.</div></div><div><h3>Methods</h3><div>Data from the Health and Retirement Study were used for a secondary analysis. Fatigue, shortness of breath, pain, swelling, depressive symptoms, and dizziness were measured. Latent class analysis was used to identify symptom cluster profiles. Bivariate associations and multinomial logistic regression were used to determine the associations between symptom cluster profiles and demographic and clinical characteristics.</div></div><div><h3>Results</h3><div>The sample included 690 participants. Three symptom cluster profiles were identified [high-burden, low-burden, and cardiopulmonary-depressive]. Age, gender, BMI, marital status, alcohol consumption, diabetes, lung disease, and arthritis were significantly different across the three profiles. People in the high-burden and cardiopulmonary-depressive profiles, compared to those in low-burden, had higher odds of having lung disease and arthritis, yet lower odds of higher alcohol consumption.</div></div><div><h3>Conclusions</h3><div>Older adults with HF residing in the community experienced distinct symptom cluster profiles. Research is needed to identify and test targeted interventions for specific symptom cluster profiles.</div></div>","PeriodicalId":55064,"journal":{"name":"Heart & Lung","volume":"74 ","pages":"Pages 161-167"},"PeriodicalIF":2.6000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Heart & Lung","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0147956325001608","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Background
As people grow older, years of exposure to cardiovascular risk factors progressively damage the heart’s structure and function, causing the incidence of heart failure (HF) to rise with age. Among older adults with HF, symptoms are manifested as clusters. Few studies have addressed symptoms specifically in older adults with HF, and most have been conducted with small samples.
Objectives
(1) describe symptom cluster profiles in older adults with HF in a nationally representative sample of community-dwelling older adults, and (2) determine the associations between demographic and clinical characteristics and membership in symptom cluster profiles.
Methods
Data from the Health and Retirement Study were used for a secondary analysis. Fatigue, shortness of breath, pain, swelling, depressive symptoms, and dizziness were measured. Latent class analysis was used to identify symptom cluster profiles. Bivariate associations and multinomial logistic regression were used to determine the associations between symptom cluster profiles and demographic and clinical characteristics.
Results
The sample included 690 participants. Three symptom cluster profiles were identified [high-burden, low-burden, and cardiopulmonary-depressive]. Age, gender, BMI, marital status, alcohol consumption, diabetes, lung disease, and arthritis were significantly different across the three profiles. People in the high-burden and cardiopulmonary-depressive profiles, compared to those in low-burden, had higher odds of having lung disease and arthritis, yet lower odds of higher alcohol consumption.
Conclusions
Older adults with HF residing in the community experienced distinct symptom cluster profiles. Research is needed to identify and test targeted interventions for specific symptom cluster profiles.
期刊介绍:
Heart & Lung: The Journal of Cardiopulmonary and Acute Care, the official publication of The American Association of Heart Failure Nurses, presents original, peer-reviewed articles on techniques, advances, investigations, and observations related to the care of patients with acute and critical illness and patients with chronic cardiac or pulmonary disorders.
The Journal''s acute care articles focus on the care of hospitalized patients, including those in the critical and acute care settings. Because most patients who are hospitalized in acute and critical care settings have chronic conditions, we are also interested in the chronically critically ill, the care of patients with chronic cardiopulmonary disorders, their rehabilitation, and disease prevention. The Journal''s heart failure articles focus on all aspects of the care of patients with this condition. Manuscripts that are relevant to populations across the human lifespan are welcome.