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Article Abstract

Chronic kidney disease frequently progresses to end-stage renal disease, requiring dialysis, which imposes significant physical, psychological, and social burdens. Age is a key factor influencing symptom experience and quality of life in dialysis patients, yet findings on its impact remain mixed. This study aimed to examine how age relates to a broad range of health domains-including fatigue, pain, cognition, mental health, sexual satisfaction, bowel control, visual impairment, social support, and quality of life-among hemodialysis patients. A cross-sectional study was conducted at a single dialysis center in Poland, involving 79 adult patients undergoing maintenance hemodialysis. Standardized, validated psychometric instruments were used, including the Modified Fatigue Impact Scale (MFIS), Perceived Deficits Questionnaire (PDQ), Pain Effects Scale (PES), Mental Health Inventory (MHI), Modified Social Support Survey (MSSS), Sexual Satisfaction Scale (SSS), Bowel Control Scale (BWCS), Impact of Visual Impairment Scale (IVIS), and WHOQOL-BREF for quality of life. Spearman's or Pearson's correlation coefficients were used to evaluate relationships between age and scale scores. Full and abbreviated versions of scales were also compared. Age showed moderate positive correlations with fatigue (ρ = 0.44-0.53), cognitive deficits (ρ = 0.37-0.45), pain (r = 0.41), bowel control issues (ρ = 0.32), and visual impairment (ρ = 0.37), all statistically significant ( < 0.01). No significant associations were observed between age and mental health (MHI), perceived social support (MSSS), or quality of life (WHOQOL-BREF). Abbreviated versions of the scales showed strong correlations with their full versions (ρ > 0.9). While age is linked to increased symptom burden in select domains such as cognition, fatigue, and pain, it does not significantly affect mental health, perceived social support, or overall quality of life in hemodialysis patients. These findings support the use of age-sensitive, multidimensional assessments to inform individualized care strategies.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12300723PMC
http://dx.doi.org/10.3390/medicina61071295DOI Listing

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