Age and gender differences in physical heart failure symptom clusters

Sethares, Kristen A.; Chin, Elizabeth

doi:10.1016/j.hrtlng.2021.07.001

Cited by 15 publications

(28 citation statements)

References 48 publications

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“…44–47 Symptoms reported more frequently by women are similar to what occurs in ACS (eg, nausea, palpitations, epigastric symptoms). 44,46 Women also were more likely to report higher pain (other than chest pain), nervousness, edema, and sweating. 44 Differences may partly be explained by a higher comorbid illness burden or diagnosis of HF at a later age among women.…”

Section: Heart Failurementioning

confidence: 95%

“…Women report higher physical symptom burden, higher depression and anxiety, and lower quality of life. 44–47 Symptoms reported more frequently by women are similar to what occurs in ACS (eg, nausea, palpitations, epigastric symptoms). 44,46 Women also were more likely to report higher pain (other than chest pain), nervousness, edema, and sweating.…”

Section: Heart Failurementioning

confidence: 95%

See 1 more Smart Citation

State of the Science: The Relevance of Symptoms in Cardiovascular Disease and Research: A Scientific Statement From the American Heart Association

Jurgens¹,

Lee²,

Aycock³

et al. 2022

Circulation

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Symptoms of cardiovascular disease drive health care use and are a major contributor to quality of life. Symptoms are of fundamental significance not only to the diagnosis of cardiovascular disease and appraisal of response to medical therapy but also directly to patients’ daily lives. The primary purpose of this scientific statement is to present the state of the science and relevance of symptoms associated with cardiovascular disease. Symptoms as patient-reported outcomes are reviewed in terms of the genesis, manifestation, and similarities or differences between diagnoses. Specifically, symptoms associated with acute coronary syndrome, heart failure, valvular disorders, stroke, rhythm disorders, and peripheral vascular disease are reviewed. Secondary aims include (1) describing symptom measurement methods in research and application in clinical practice and (2) describing the importance of cardiovascular disease symptoms in terms of clinical events and other patient-reported outcomes as applicable.

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Section: Heart Failurementioning

confidence: 95%

Section: Heart Failurementioning

confidence: 95%

State of the Science: The Relevance of Symptoms in Cardiovascular Disease and Research: A Scientific Statement From the American Heart Association

Jurgens¹,

Lee²,

Aycock³

et al. 2022

Circulation

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“…The HF symptom profile differs by age and sex, 51 and age has been found consistently to influence HF self-care. Heart failure self-care requires physical and intellectual abilities such as being able to visit the grocery, understanding what ankle swelling means, and remembering to take medications.…”

Section: Problem Person and Environmental Factorsmentioning

confidence: 98%

The Situation-Specific Theory of Heart Failure Self-care

2022

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Many studies of heart failure (HF) self-care have been conducted since the last update of the situation-specific theory of HF self-care. Objective The aim of this study was to describe the manner in which characteristics of the problem, person, and environment interact to influence decisions about self-care made by adults with chronic HF. Methods This study is a theoretical update. Literature on the influence of the problem, person, and environment on HF self-care is summarized. Results Consistent with naturalistic decision making, the interaction of the problem, person, and environment creates a situation in which a self-care decision is needed. Problem factors influencing decisions about HF self-care include specific conditions such as cognitive impairment, diabetes mellitus, sleep disorders, depression, and symptoms. Comorbid conditions make HF self-care difficult for a variety of reasons. Person factors influencing HF self-care include age, knowledge, skill, health literacy, attitudes, perceived control, values, social norms, cultural beliefs, habits, motivation, activation, self-efficacy, and coping. Environmental factors include weather, crime, violence, access to the Internet, the built environment, social support, and public policy. Conclusions A robust body of knowledge has accumulated on the person-related factors influencing HF self-care. More research on the contribution of problem-related factors to HF self-care is needed because very few people have only HF and no other chronic conditions. The research on environment-related factors is particularly sparse. Seven new propositions are included in this update. We strongly encourage investigators to consider the interactions of problem, person, and environmental factors affecting self-care decisions in future studies.

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“…McMurray and Stewart [8] claim that the incidence of heart failure ranges from 0.003% to 0.02%, but increases to 10% by the age of 65, it also showed that men are more likely to have the disease rather than women. Sethares et al [9] report that after using hierarchical agglomerative techniques, they identified 3 clusters, and found that the gender in the cluster has shown large variance.…”

Section: Discussionmentioning

confidence: 99%

Associations between body factors and heart disease using logistic regression and machine learning

Pang

2023

Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022)

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Cardiovascular diseases (CVDs) appear frequently all over the world, causing people to suffer from pain and death. These diseases can cause some lesions to other organs, and systems in the body will be impacted. This study aims at ensuring and verifying the etiology of CVDs, and predicting whether people may get heart diseases. The sample in this study is a data set that combines clinical data of four locations. Analyzed by logistic regression, conditional inference tree, and support vector machine, the results of the goodness of fit and prediction are both satisfactory. This regression model has verified that gender, age, type of chest pain, blood pressure, angina, Old-peak, and ST Slope of ECG all have a positive relationship with having CVDs. With the values of these variables rising, the probability of having diseases increases. The accuracy rate of prediction by conditional inference tree and support vector machine is also over 87% and 84%, respectively, indicating that these two models are instructive and helpful in CVD screening. The findings in this study help people be aware of the presence of pathogenic factors, be alert earlier, and have a clearer understanding of what is going on with their bodies.

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Age and gender differences in physical heart failure symptom clusters

Cited by 15 publications

References 48 publications

State of the Science: The Relevance of Symptoms in Cardiovascular Disease and Research: A Scientific Statement From the American Heart Association

State of the Science: The Relevance of Symptoms in Cardiovascular Disease and Research: A Scientific Statement From the American Heart Association

The Situation-Specific Theory of Heart Failure Self-care

Associations between body factors and heart disease using logistic regression and machine learning

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