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Influence of frailty on health-related quality of life in pre-dialysis patients with chronic kidney disease in Korea: a cross-sectional study

Overview of attention for article published in Health and Quality of Life Outcomes, May 2015
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Title
Influence of frailty on health-related quality of life in pre-dialysis patients with chronic kidney disease in Korea: a cross-sectional study
Published in
Health and Quality of Life Outcomes, May 2015
DOI 10.1186/s12955-015-0270-0
Pubmed ID
Authors

Suk Jeong Lee, Heesook Son, Sug Kyun Shin

Abstract

Chronic kidney disease (CKD) is a progressive and lifelong condition with multiple medical comorbidities. Patients with CKD experience frailty more frequently and have lower health-related quality of life than do those with other chronic diseases. The purpose of this study was to examine the prevalence of frailty and investigate the contribution of frailty to quality of life in pre-dialysis CKD patients in Korea. Using a cross-sectional survey design, data were collected at an outpatient CKD clinic in a general hospital in Korea. The frailty criterion was modified from previous studies. The Short Form-36 Health Survey version 2 was used to measure physical and mental component summary scores. Data were analyzed using chi-square, t-tests, and hierarchical linear regression. Of the 168 CKD patients, 63 (37.5 %) were frail. Frail patients were significantly older and had lower physical and mental quality of life than those who were non-frail. In hierarchical regression evaluating the influence of frailty on physical and mental quality of life, the initial model was significantly improved when frailty was included. Frail patients had lower physical and mental quality of life. Frailty affected both physical and mental quality of life in pre-dialysis patients with CKD. More attention should be paid to the potential role of early detection and prevention of frailty to improve patients' quality of life.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 15%
Student > Bachelor 11 12%
Student > Doctoral Student 7 8%
Student > Postgraduate 6 6%
Other 5 5%
Other 16 17%
Unknown 34 37%
Readers by discipline Count As %
Medicine and Dentistry 24 26%
Nursing and Health Professions 15 16%
Psychology 5 5%
Agricultural and Biological Sciences 4 4%
Social Sciences 4 4%
Other 4 4%
Unknown 37 40%
Attention Score in Context

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 29 May 2015.
All research outputs
#18,411,569
of 22,807,037 outputs
Outputs from Health and Quality of Life Outcomes
#1,671
of 2,159 outputs
Outputs of similar age
#192,112
of 265,918 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#24
of 46 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.