The Associations of Social Support and Other Psychosocial Factors with Mortality and Quality of Life in the Dialysis Outcomes and Practice Patterns Study

Background: Despite improvements in dialysis treatment, mortality rates remain high, especially among older hemodialysis patients. Quality of life (QOL) among hemodialysis patients is strongly associated with higher risk of death. This study aimed to describe the health-related QOL and its change in older maintenance hemodialysis patients and to demonstrate characteristics associated with health-related QOL. Methods: Data on 892 maintenance hemodialysis patients aged 60 years or older who were surveyed using the Kidney Disease Quality of Life Short Form at baseline and 2 years after study enrollment in phases 4 (2009–2011) and 5 (2012–2014) of the Japanese Dialysis Outcomes and Practice Patterns Study were analyzed. We categorized participants into 3 age groups (60–69, 70–79, and ≥80 years) and described baseline physical component summary (PCS) and mental component summary (MCS) scores, as well as their distribution of changes after 2 years across each category. Results: Hemodialysis patients aged 70–79 years and ≥80 years had lower PCS scores than those aged 60–69 years (median: 70–79 years = 43.1; interquartile range [IQR], 35.2–49.4; ≥80 years = 38.8; IQR, 31.6–43.8; 60–69 years = 45.4; IQR, 37.5–51.4; p < 0.001). In contrast, MCS scores did not significantly differ by age category (70–79 years = 45.6; IQR, 38.4–53.7; ≥80 years = 45.4; IQR, 36.9–55.1; 60–69 years = 46.8; IQR, 39.5–55.7; p = 0.1). As dialysis vintage lengthened, the PCS score significantly became lower, whereas no association was found with change in the MCS score. The MCS score declined over time in older patients, especially among those aged 80 years and older after 2 years’ follow-up. Conclusions: Physical QOL became worse as dialysis vintage lengthened. In contrast, mental QOL declined over time within a relatively short period among older maintenance hemodialysis patients.

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Do Clinical And Psychosocial Factors Affect Health-Related Quality of Life in Adolescents with Chronic Diseases?

Global Journal of Health Science ◽

10.5539/gjhs.v10n1p60 ◽

2017 ◽

Vol 10 (1) ◽

pp. 60 ◽

Cited By ~ 1

Author(s):

Teresa Cristina Santos ◽

Margarida Gaspar de Matos ◽

Adilson Marques ◽

Celeste Simões ◽

Isabel Leal ◽

...

Keyword(s):

Quality Of Life ◽

Social Support ◽

Psychosocial Factors ◽

Self Regulation ◽

Psychosocial Variables ◽

Health Related Quality ◽

Clinical Variables ◽

Related Quality ◽

Health Related

Living with a chronic disease in adolescence can have an impact on the perception of Health-related Quality of Life (HRQoL). Facing the increasing relevance of psychosocial dimensions and also considering the interaction with clinical variables, this study aimed to measure the impact of clinical and psychosocial factors (separated and combined) on adolescent’s reported HRQoL.A cross-sectional study was conducted in a clinical population of 135 adolescents with chronic diseases (n=70 boys), average age: 14±1.5 years old. Through a self-reported questionnaire, HRQoL (KIDSCREEN-10), socio-demographic, clinical variables (diagnostic; time of diagnosis; self-perceived pain; disease severity proxy; disease-related medication intake/use of special equipment), and psychosocial variables (psychosomatic health; resilience; self-regulation; social support) were assessed.Separately, clinical and psychosocial variables showed a significant impact in HRQoL, 27.9% and 62.4%, respectively. Once combined, the previously identified variables had a significant impact (64.2%), but a different contribution from clinical and psychosocial variables was revealed: when first entering the clinical variables (model 1) the variance only reaches 30%, and much more from psychosocial variables seems to explain the total (64.2%); inversely, when first integrating psychosocial variables (model 2), the clinical ones added a small significance to the model (0.6%).The present study underlined the association of clinical (“disease-related”) and psychosocial (“non-disease-related”) factors on HRQoL. Furthermore, it reinforced the need to focus more on psychosocial dimensions, highlighted the potential role of psychosomatic health, resilience, self-regulation and social support. It can be suggested that the identification of impaired psychosocial domains may help professionals to better plan, and achieve effective interventions of psychosocial care.

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