| Title |
Frailty syndrome and self-care ability in elderly patients with heart failure
|
|---|---|
| Published in |
Clinical Interventions in Aging, May 2015
|
| DOI | 10.2147/cia.s83414 |
| Pubmed ID | |
| Authors |
Izabella Uchmanowicz, Marta Wleklik, Robbert JJ Gobbens |
| Abstract |
Chronic heart failure is a serious medical condition. Recently, there has been an increasing interest in frailty syndrome and self-care levels among patients with cardiovascular conditions. Demonstrating the influence of frailty syndrome on self-care could improve the quality of self-care and prevent the adverse effects of frailty syndrome. The purpose of this study was to assess the influence of frailty syndrome on the self-care capabilities of patients with chronic heart failure, and to identify factors associated with frailty. The data were collected between January and July 2014. The study included 110 patients with chronic heart failure who were hospitalized in the cardiology clinic. Frailty syndrome was assessed using the Tilburg Frailty Indicator, a self-report questionnaire, and self-care behavior was assessed using the European Heart Failure Self-Care Behavior Scale. Fifty-four percent of the study patients were male and 46% were female. The mean age was 66±11 years, the mean Tilburg Frailty Indicator score was 7.45±3.02 points, and the mean self-care level was 27.6±7.13 points. Correlation analyses showed that patients with higher scores in the social components of the frailty scale had better self-care capabilities. Frailty was associated with age, education, duration of heart failure, number of hospitalizations, and New York Heart Association class. The effects of these patient characteristics differed across components of frailty (physical, psychological, social). The social components of frailty syndrome adversely affect the ability to self-care in elderly patients with heart failure. It is relevant to use a multidimensional measurement of frailty. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 15% |
| Student > Master | 12 | 12% |
| Other | 10 | 10% |
| Researcher | 9 | 9% |
| Student > Ph. D. Student | 8 | 8% |
| Other | 16 | 16% |
| Unknown | 33 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 26 | 25% |
| Medicine and Dentistry | 22 | 21% |
| Psychology | 8 | 8% |
| Agricultural and Biological Sciences | 4 | 4% |
| Engineering | 3 | 3% |
| Other | 5 | 5% |
| Unknown | 35 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 May 2015.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Clinical Interventions in Aging
#1,243
of 1,962 outputs
Outputs of similar age
#169,644
of 279,338 outputs
Outputs of similar age from Clinical Interventions in Aging
#22
of 33 outputs
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