Exercise among Dialysis Patients

Physical inactivity is a strong predictor of mortality in patients with end-stage renal disease and is associated with poor physical functioning. Patients with end-stage renal disease are inactive even compared to sedentary individuals without kidney disease. We sought to analyze the level of physical activity in our chronic hemodialysis patients and to identify patient barriers to physical activity. Adult patients on hemodialysis in the Department of Renal Dialysis and Renal Transplantation at the Mohammed V Military Training Hospital in Rabat were recruited and asked to complete the update Baecke physical activity questionnaire in French named AQAP (Physical Activity SelfQuestionnaire) A total of 52 patients participated in the study, the mean age of the patients was 50 years ± 16.55 with extremes ranging from 24 to 76 years, sex ratio (H / F) was 1.1. The majority of participants strongly agreed that a sedentary lifestyle was a health risk and that increasing exercise was a benefit. 23% report having no physical activity. 74% of patients report difficulty in performing significant physical exertion. 17 % of patients report having a regular physical activity and sport. However, 49% of participants reported at least one barrier to physical activity. The most commonly reported barriers were fatigue on dialysis days shortness of breath and depression. Exercise provides beneficial effects in end stage renal disease, our study identified a number of barriers to physical activity that can be addressed in studies aimed at increasing levels of physical activity. © 2018 Elixir All rights reserved. Elixir Nephrolog 120 (2018) 51432-51434 Nephrolog Available online at www.elixirpublishers. com (Elixir International Journal) Wafaa Arache et al./ Elixir Nephrolog 120 (2018) 51432-51434 51433 temperature, dry weight), biochemical (creatinine, urea, hemoglobin, fasting glucose, albumin C-reactive protein, calcemia, phosphatemia, and PTH 1-84) and dialytics (frequency and duration of the dialysis session, dry weight, interdialytic weight gain, mean Kt / v) were collected from the medical records of the patients. After interview validation, descriptive and deductive statistical analyzes were performed with SPSS 18.0 software. The data were expressed as mean standard deviation or interquartile median interval or percentage according to their nature and distribution. The prevalence of each standard deviation has been estimated. The multivaried logistic regression analysis was used to identify the risk factors associated with the lack of physical activity; the difference is considered statistically significant for p <0.05. Results A total of 52 dialysis patients were recruited to participate in the study, the mean age of patients was 50 years ± 16.55 years with extremes ranging from 24 to 76 years, the sex ratio (M/F) was 1.1. Mean dialysis vintage was 60 ± 16.5 months. Initial nephropathy was unknown in 48% of cases, glomerular in 21% of cases, tubulointerstitial in 12.8%, diabetic in 10.25% of cases and vascular in 8% of cases. We identify the clinical, biochemical and dialytic characteristics of patients (Table 1) Table 1. Demographic, anthropometric, laboratory and dialysis characteristics of the population study.