Health-related quality of life with KDQOL-36 and its association with self-efficacy and treatment satisfaction in Korean dialysis patients

Abstract Background Given the importance of exercise self-efficacy in the process of quality of life change, this study aimed to describe the relationship between exercise self-efficacy and health-related quality of life (HRQOL) in dialysis patients. Methods A cross-sectional study was conducted in Shanghai, China. Structured questionnaires applied to the patients collected basic information about gender, age, marital status, education, and income for socio-demographic and body mass index, causes for end-stage renal disease, dialysis modality, and dialysis vintage for the disease-related factors. Physical activity was assessed by a self-administered questionnaire. Exercise self-efficacy was measured through the Exercise Self-Efficacy Scale (ESES). Health-related quality of life was evaluated by the Kidney Disease Quality of Life Instrument-Short Form version 1.3 (KDQOL-SF™ v1.3). Data were analyzed using a univariate generalized linear model, Spearman correlation, and hierarchical multiple regression. Results A positive association was observed between exercise self-efficacy and HRQOL (r = 0.310, P < 0.001). Physical activity as predictor variables explained 9.8% of the variance in overall HRQOL (P < 0.001). Exercise self-efficacy explained an additional 7.1% of the HRQOL variance. In total, 24.6% of the variation in the HRQOL is explained by the socio-demographic variables, disease-related factors, physical activity, and exercise self-efficacy. Conclusion Overall, only 16.9% of the change in HRQOL was explained by physical activity and exercise self-efficacy. Future research is still needed to explore further the factors influencing the quality of life in dialysis patients. However, this finding suggests the need to consider the importance of HRQOL and physical activity as well as exercise self-efficacy when developing intervention programs.

Download Full-text

1020-P: Semaglutide-Induced Weight Loss Is Associated with Improved Health-Related Quality of Life and Treatment Satisfaction

Diabetes ◽

10.2337/db19-1020-p ◽

2019 ◽

Vol 68 (Supplement 1) ◽

pp. 1020-P ◽

Cited By ~ 1

Author(s):

KARI T. UUSINARKAUS ◽

HELENA W. RODBARD ◽

LUC VAN GAAL ◽

JOHN P. WILDING ◽

THOMAS HANSEN ◽

...

Keyword(s):

Quality Of Life ◽

Weight Loss ◽

Treatment Satisfaction ◽

Health Related Quality ◽

Related Quality ◽

Health Related

Download Full-text

How to recruit inactive residents for lifestyle interventions: participants’ characteristics based on various recruitment strategies

Health Promotion International ◽

10.1093/heapro/daaa134 ◽

2020 ◽

Author(s):

Eva Smit ◽

Karlijn Leenaars ◽

Annemarie Wagemakers ◽

Koos van der Velden ◽

Gerard Molleman

Keyword(s):

Quality Of Life ◽

Self Efficacy ◽

Target Group ◽

Recruitment Strategy ◽

Recruitment Strategies ◽

Lifestyle Interventions ◽

Health Related Quality ◽

Related Quality ◽

Health Related

Summary Care Sport Connectors (CSCs) have been appointed to create a connection between primary care and physical activity (PA) sectors to stimulate inactive residents into becoming physically active. Adequate recruitment strategies are necessary to reach the intended target group in order to foster the sustainability of lifestyle interventions. The objective of this study is to explore PA behavior and health characteristics of the target group reached by CSCs and if these characteristics differ between participants when grouped based on how they were recruited. Participants from lifestyle interventions were included between September 2014 and April 2016 using a purposive sampling method. Participants were recruited through CSCs via public relations (n = 135), a personal letter (n = 136), or a referral (n = 98) and compared based on their PA level, health-related quality of life, motivation, self-efficacy, morbidity and health-related fitness. Scores were analyzed with a multi-level (mixed model) analysis measured before the intervention. The three groups were different in PA level (p = 0.002). The outcomes regarding health-related quality of life, motivation, and number of somatic disorders were also significantly different for the three groups, except for the categories of mental health (p = 0.145) and self-efficacy (p = 0.464). For all dimensions, the referral group scored the least favorable. The investment in time and money for an active recruitment strategy like referrals is worthwhile because it provides CSCs the opportunity to reach people who are inactive and at risk of chronic disease. Future studies are necessary to reveal the effect on PA levels and health in the long-term.

Download Full-text

Self-Management, Self-Efficacy, and Health-Related Quality of Life in Children With Chronic Illness and Medical Complexity

Journal of Pediatric Health Care ◽

10.1016/j.pedhc.2019.11.009 ◽

2020 ◽

Vol 34 (4) ◽

pp. 304-314 ◽

Cited By ~ 3

Author(s):

Lilian Bravo ◽

Mary K. Killela ◽

Beck L. Reyes ◽

Karla Marie Bathan Santos ◽

Vanessa Torres ◽

...

Keyword(s):

Quality Of Life ◽

Chronic Illness ◽

Self Efficacy ◽

Self Management ◽

Health Related Quality ◽

Medical Complexity ◽

Related Quality ◽

Health Related

Download Full-text

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

Health and Quality of Life Outcomes ◽

10.1186/s12955-015-0270-0 ◽

2015 ◽

Vol 13 (1) ◽

Cited By ~ 18

Author(s):

Suk Jeong Lee ◽

Heesook Son ◽

Sug Kyun Shin

Keyword(s):

Quality Of Life ◽

Chronic Kidney Disease ◽

Cross Sectional Study ◽

Health Related Quality ◽

Sectional Study ◽

Dialysis Patients ◽

Cross Sectional ◽

Related Quality ◽

Health Related

Download Full-text

MO822POLYPHARMACY NEGATIVELY AFFECTS HEALTH-RELATED QUALITY OF LIFE IN DIALYSIS PATIENTS

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfab098.0014 ◽

2021 ◽

Vol 36 (Supplement_1) ◽

Author(s):

Julia Colombijn ◽

Anna Bonenkamp ◽

Anita Van Eck van der Sluijs ◽

Alferso C Abrahams ◽

Joost Bijlsma ◽

...

Keyword(s):

Quality Of Life ◽

Health Related Quality ◽

Dialysis Patients ◽

Self Rated Health ◽

Therapeutic Benefits ◽

Significant Difference ◽

Related Quality ◽

Health Related ◽

The Mean

Abstract Background and Aims Dialysis patients are often prescribed a large number of medications to improve metabolic control and manage co-existing comorbidities. However, several studies suggest that a large number of medications can also detrimentally affect their health-related quality of life (HRQoL). Therefore, this study aims to provide insight in the association between the number of medications and various aspects of HRQoL in dialysis patients. Method A multicentre study was conducted among dialysis patients from Dutch dialysis centres three months after initiation of dialysis as part of the ongoing prospective DOMESTICO study. The number of medications, defined as the number of concomitantly prescribed types of drugs, was obtained from electronic patient records. Primary outcome was HRQoL measured with the Physical Component Summary (PCS) score and Mental Component Summary (MCS) score (range 0-100) of the Short Form 12. Secondary outcomes were number of symptoms (range 0-30) measured with the Dialysis Symptoms Index and self-rated health (range 0-100) measured with the visual analogue scale of the EuroQol-5D-5L. Data were analysed using linear regression and adjusted for possible confounders, including age, sex, dialysis modality, and comorbidity. Analyses for MCS and number of symptoms were performed after categorising patients in tertiles according to their number of medications because assumptions of linearity were violated for these outcomes. Results A total of 162 patients were included. Mean age of patients was 58 ± 17 years, 35% were female, and 80% underwent haemodialysis. The mean number of medications was 12.2 ± 4.5. Mean PCS and MCS were 36.6 ± 10.2 and 46.8 ± 10.0, respectively. The mean number of symptoms was 12.3 ± 6.9 and mean self-rated health 60.1 ± 20.6. In adjusted analyses, PCS was 0.6 point lower for each additional medication (95%CI -0.9 – -0.2; p=0.002). MCS was 4.9 point lower (95%CI -8.8 – -1.0; p=0.01) and 1.0 point lower (95%CI -5.1 – 3.1; p=0.63) for the highest and middle tertiles of medications, respectively, compared to the lowest tertile. Patients in the highest tertile of medications reported 4.1 more symptoms compared to the lowest tertile (95%CI 1.5 – 6.6; p=0.002) but no significant difference in the number of symptoms was observed between the middle and lowest tertile. Self-rated health was 1.5 point lower for each medication (95%CI -2.2 – -0.7; p<0.001). Conclusion After adjustment for comorbidity and other confounders, a higher number of medications was associated with a lower PCS, MCS, and self-rated health in dialysis patients and with more symptoms. This suggests that it may be relevant to weigh expected therapeutic benefits of medication against their possible harmful effects on HRQoL. An unfavourable balance between expected benefits and impact on HRQoL might be ground to deviate from clinical guidelines, especially for patients with a limited life-expectancy and for whom a kidney transplant is unattainable.

Download Full-text