Open AccessDiabetic nephropathy: A strong predictor of sleep quality in hemodialysis patients
Author(s) -
Mahnaz Edalat-Nejad,
Nahid Jafarian,
Parsa Yousefichaijan
Publication year - 2014
Publication title -
saudi journal of kidney diseases and transplantation/našrat amraḍ wa zira'aẗ al-kulaẗ
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.268
H-Index - 30
eISSN - 2320-3838
pISSN - 1319-2442
DOI - 10.4103/1319-2442.134994
Subject(s) - medicine , pittsburgh sleep quality index , diabetes mellitus , hemodialysis , odds ratio , diabetic nephropathy , body mass index , cross sectional study , parathyroid hormone , ferritin , depression (economics) , physical therapy , endocrinology , sleep quality , calcium , pathology , psychiatry , cognition , macroeconomics , economics
Sleep complaints are common in hemodialysis (HD) patients. Sleep quality (SQ) is a predictor of quality of life and mortality risk in HD. The aim of this study was to examine factors that may have a role in SQ. In this cross-sectional analytic study, 138 end-stage renal disease patients receiving maintenance HD for >3 months were included. The Pittsburgh Sleep Quality Index (PSQI) was used to measure individual's SQ. Patients with a global PSQI score >5 were assumed as poor sleepers. Eighty-eight patients (64%) were classified as poor sleepers. Poor sleepers were older and more likely had diabetes. They had significantly higher serum ferritin and calcium levels and lower serum parathyroid hormone level (all P-values <0.05). The global PSQI score was positively correlated with age, serum calcium level and presence of diabetes as the underlying cause of renal failure. In the multi-variable binary regression model, presence of diabetes (Odds Ratio (OR) = 3.67, P = 0.008) and body pain (OR = 1.182, P = 0.014) were the significant independent predictors for poor SQ. Poor SQ was common among our HD patients, especially among diabetic cases and, therefore, there is a need to pay more attention to the care of this subgroup with regard to the diagnosis and management of sleep complaints.