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Showing 2 results for Quality of Sleep

Einollah Molaie, Zahra Royani, Dr Mohammad Moujerloo, Dr Naser Behnampour, Javad Golage, Maryam Khari,
Volume 11, Issue 1 (5-2014)
Abstract

Background and Objective: Fatigue is one of the most common side effect in hemodialysis patients. This study aimed to assess the factors associated with fatigue in hemodialysis patients, such as demographic variables, anxiety, depression and quality of sleep. 
Material and Methods: This descriptive-analytic study was conducted on 58 eligible, randomly selected patients of 165 hemodialysis patients referred to Panje Azar Hospital in Gorgan. The instruments were a demographic checklist, Fatigue Severity Scale, Beck Anxiety Inventory, and the Beck Depression Inventory. The data was analyzed by SPSS 17 software using Mann-Whitney, Kruskal-Wallis, Spearman's correlation coefficient and linear regression. 
Results: The mean average of fatigue in all patients was 1.66±4.76. Twenty-six of the participants (44.8%) expressed that they suffer from moderate anxiety, 17 (29.3%) from severe depression and 43 (74.1%) from poor quality of sleep. The relationship between fatigue and anxiety (P = 0.006, r = 0.353) and depression (P≤.001, r=0.525) was directly significant whereas the relationship is not significant for sleep quality. 
Conclusion: Given the high prevalence of fatigue in hemodialysis patients and the impact of multiple factors, we strongly recommend that care providers should consider these factors to improve patients’ quality of life.

Marzieh Sadat Azarniveh, Seyed Alireza Tavakoli Khormizi,
Volume 14, Issue 1 (11-2017)
Abstract

Background: Recent studies have shown that physical activity is an effective factor in improving sleep quality. Therefore, this study aimed to compare the sleep quality of athlete and non-athlete pregnant women.

Methods: This cross-sectional descriptive analytical study was performed on 300 pregnant women in the last trimester of pregnancy, referred to prenatal care unit of Amiralmomenin Hospital in city of Zabol. After selection via convenience sampling, participants were divided into two groups of athletes and non-athletes based on their level of physical activity. Data were collected via a demographic form and Pittsburgh sleep quality and Baek physical activity questionnaires. Data was analyzed using descriptive statistics and t-test.

Results: The mean score of sleep quality in pregnant women was 8.51 ± 2.09. Overall, 81.2% of the subjects had poor sleep quality. The sleep quality of athlete (7.19 ± 1.68) and that of non-athlete (10.18 ± 2.28) pregnant women were undesirable. However, athlete pregnant women had significantly better sleep quality compared to non-athletes (P=0.003).

Conclusion: Based on the results and the high prevalence of sleep disorders in pregnant women, as well as the positive impact of physical activity on sleep quality, daily physical activity seems essential for improvement of sleep quality in pregnant women.



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