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"Health related quality of life"

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"Health related quality of life"

Original Articles
PURPOSE
This study was to examine the relationships among frailty, physical performance, exercise self-efficacy, decisional balance, and health-related quality of life (HRQoL) and to identify the impact factors on frailty in adults undergoing hemodialysis.
METHODS
In this cross-sectional study, 96 adults (41 women, 55 men, age 57.10±13.56 years) were enrolled an university hospital-affiliated outpatient hemodialysis clinic. Participants were asked to administer questionnaires including exercise change stages, exercise self-efficacy, decisional balance, and HRQoL. Participants also completed measures of the short battery physical performance test (SPPB), usual gait speed, grip strength (JAMAR Hand Dynamometer, Paterson medical Ltd. Warrenville, USA), and body composition (Inbody S10, Biospace company, Seoul, Korea). Frailty status was classified according to the frailty phenotype developed by Fried using gait speed, grip strength, vitality from mental HRQoL, physical activity from exercise change stages, and body mass index.
RESULTS
According to frailty scores, 56.3% (n=54) were frail (frailty scores 3–5) and 43.7% were non-frail (frailty scores 0–2). Exercise self-efficacy, pros decisional balance, and HRQoL were lower in the frail patients (all p < .05). Frailty correlated with worse scores of SPPB (r=−.56), exercise self-efficacy (r=−.40), pros decisional balance (r=−.24), and physical and mental HRQoL (r=−.32; r=−.26) by Spearman correlation analysis. Factors associated with non-frailty includes higher SPPB (odds ratio: 1.67, 95% confidence interval: 1.15~2.44) and exercise self-efficacy (odds ratio 1.17, 95% confidence interval: 1.03~1.33).
CONCLUSION
A targeted management program based on the frailty stage may benefit individuals undergo hemodialysis.

Citations

Citations to this article as recorded by  
  • The Impact of Physical Performance and Fear of Falling on Fall Risk in Hemodialysis Patients: A Cross-Sectional Study
    Jiwon Choi, Sun-Kyung Hwang
    Korean Journal of Adult Nursing.2024; 36(1): 63.     CrossRef
  • Effects of an arteriovenous fistula stenosis prevention program in patients receiving hemodialysis
    Haegyeong Lee, Gyuli Baek, Eunju Lee
    Osong Public Health and Research Perspectives.2023; 14(4): 279.     CrossRef
  • Factors Affecting Quality of Life in Hemodialysis Patients
    Kyung Hee Lim, Geum Soon Kwon
    Journal of Korean Academy of Fundamentals of Nursing.2023; 30(1): 1.     CrossRef
  • Modifiable Physical Factors Associated With Physical Functioning for Patients Receiving Dialysis: A Systematic Review
    Brett D. Tarca, Thomas P. Wycherley, Paul Bennett, Anthony Meade, Katia E. Ferrar
    Journal of Physical Activity and Health.2020; 17(4): 475.     CrossRef
  • Relationship between Uncertainty in Illness, Subjective Health Status, and Compliance with Sick Role Behavior according to Levels of Health Literacy in Hemodialysis Patients
    Young-Mun Cho, Yon-Hee Seo, Mee-Jeong Park
    Korean Journal of Adult Nursing.2018; 30(4): 437.     CrossRef
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Factors related to the Health related Quality of Life among Institutionalized Elders
Eun Ha Kim, Yeong Kyeong Kim
J Korean Acad Adult Nurs 2010;22(3):281-290.   Published online June 30, 2010
PURPOSE
This purpose of this study was to identify the factors related to the health related quality of life among institutionalized elders.
METHODS
The subjects were 247 elders institutionalized among one of the four nursing homes in Busan. Data were collected through interview with four standardized questionnaires from August to October, 2008. Questionnaires were related to health related quality of life (SmithKline Beecham's Quality of Life scale, SBQoL), quality of sleep(Pittsburgh Sleep Quality index, PSQI), activity of daily living (Katz ADL Index), and depression (Geriatric Depression Scale Short Form Korea, GDSSF-K). Data were analyzed for descriptive analysis, t-test, one-way ANOVA, Pearson's correlation coefficient, and stepwise multiple regression by using SPSS/WIN 17.0 program.
RESULTS
The mean HRQoL in the subjects was 6.62 +/- 0.91. Percentage of the respondents reporting sleep disorders were 72.5% and 27.1% reported being vulnerable to depression. The significant predictors of the HRQoL were sleep quality, activity of daily living (ADL), level of education, and depression. The factors accounted for 28.8% of variance in the health related quality of life of institutionalized elders.
CONCLUSION
Sleep quality, activity of daily living, and depression need to be considered as the important control factors for improving the health related quality of life in the institutionalized elders.
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