An assessment of sleep quality and daytime sleepiness in hemodialysis patients: a cross-sectional study from Palestine

Samara, Ahmad M.; Sweileh, Moutaz W.; Omari, Ali M.; Omari, Leen S.; Dagash, Hazar H.; Sweileh, Waleed M.; Natour, Nehal; Zyoud, Sa’ed H.

doi:10.1186/s41606-019-0036-4

Cited by 15 publications

(32 citation statements)

References 24 publications

(22 reference statements)

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“…Correlations between sleep disorders and sex in patients on dialysis result in some degree of debate. Some trials concluded that sex was neither significantly correlated with the presence of sleep disorders nor with their severity [32]; however, female sex was an independent predictor of patients being poor sleepers among 164 patients on HD who had been screened by Pai et al for sleep disorders [25]. In addition, in 227 patients on HD in Saudi Arabia, poor sleep was more significant in female patients than in male patients [33].…”

Section: Discussionmentioning

confidence: 99%

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Prevalence of Depression and Sleep Disorders in Patients on Dialysis: A Cross-Sectional Study in Qatar

Al-Ali

Elshirbeny

Hamad

et al. 2021

International Journal of Nephrology

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Patients with end-stage renal disease treated with dialysis have poor quality of life (QOL). Improving QOL in these patients with multiple comorbidities is a large challenge. We performed a cross-sectional study to evaluate the prevalence and associated factors of depression and sleep disorders in this population. Our primary aim was to evaluate QOL measures in dialysis patients in Qatar through a series of validated questionnaires mainly concerning depression and sleep disorders. Our secondary aim was to study the associations of age, sex, and comorbid conditions with the QOL measures. We hypothesized that end-stage renal disease (ESRD) patients on dialysis would have disturbed QOL due to both ESRD and dialysis and comorbidities. This prospective cross-sectional study included adult ESRD patients receiving either hemodialysis (HD) or peritoneal dialysis (PD) in the main tertiary dialysis unit in Qatar. We administered two surveys to evaluate depression (the Center for Epidemiologic Studies Depression Scale, http://www.bmedreport.com/archives/7139) and sleep disorders (the Pittsburgh Sleep Quality Index, https://www.sleep.pitt.edu/instruments/). We also reviewed patient demographics, comorbidities, and laboratory test results to evaluate any associated factors. We randomly studied 253 patients (62% on HD and 38% on PD). Overall, 48% of patients had depression, while 83.8% had sleep disorders. The PD had more poor sleepers than the HD group (89.1% versus (vs.) 75%, p = 0.003 ). Most of our dialysis patients had poor sleep, but it was more significant in the elderly group 109 (90%) than in the young group 103 (78%) ( p = 0.009 ). Patients with diabetes mellitus (DM) had significantly more prevalence of poor sleep (131 (88.5%)) than those without DM (81 (77.1%), p = 0.01 ). More female patients had depression than male patients (52% vs. 25%, p < 0.0001 ; odds ratio: 3.27 (95% confidence interval: 1.9–5.6), p < 0.0001 ). This is the first study in Qatar to evaluate depression and sleep disorders in patients on dialysis therapy.

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Section: Discussionmentioning

confidence: 99%

“…us, it is essential for healthcare professionals to recognize different aspects of poor QOL in patients on dialysis. In addition, more studies are needed to further clarify the risk factors of depression and sleep disorders and to assess the efficacy of therapeutic measures in these patients [24,[29][30][31][32][33].…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Depression and Sleep Disorders in Patients on Dialysis: A Cross-Sectional Study in Qatar

Al-Ali

Elshirbeny

Hamad

et al. 2021

International Journal of Nephrology

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“…Similarly a survey conducted among Canadian (22) from 2002 to 2014 indicate cigarette smoking as cause of RTA associated daytime sleepiness. Monthly income, female gender and low schooling level remained positively and independently associated with EDS as shown by the study conducted in Brazil (6) where the study conducted in An-Nahah showed no association of daytime sleepiness with any socio-demographic factors (23).…”

Section: Introductionmentioning

confidence: 89%

Prevalence and Association of Daytime Sleepiness among Commercial Vehicle Drivers in Southwestern Ethiopia: A Descriptive Cross-Sectional Study

Berhanu¹,

Abera²,

Demissie³

et al. 2020

Preprint

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Background: Sleepiness, the most frequent sub-type of sleep disorders, is an excessive daytime sleepiness which commonly affects commercial drivers than the general population. It contributes to the high prevalence of Road Traffic due to its impact related to psychological stress, decreased productivity and increased risk of accidents both in & out of Ethiopia. Therefore, the current study was designed to elucidate the level of daytime sleepiness and its attributes to contribute to the prevention actions of country’s strategy. Objective: To describe the prevalence and associated factors of daytime sleepiness among commercial vehicle drivers in EthiopiaMethods: Data were collected from 398 randomly selected participants using a validated and pretested questionnaire to assess socio-demographic characteristics and the Epworth Sleepiness Scale (ESS), which assesses daytime sleepiness prevalence. All data were entered into EpiData and analyzed using Statistical Package for Social Science (SPSS) version 22 software whereby measurements of central tendencies and logistic regressions were used to report the results.Results: Overall, 398 public drivers were enrolled into the study making 99% response rate with the mean age of 32.1 years (SD ± 9.1) and 20-29 year modal class. The driving years of the majority (47%) were reported in 0-4 year class. The prevalence of the daytime sleepiness was 21.7% among the study subjects. In final model of logistic regression drivers’ work experience (AOR=13.96, CI=1.18, 11.1, p=0.04), substance users like Tobacco (AOR=2.9, CI=1.1, 7.6, p=0.03) & Alcohol (AOR=6.12, 95% CI=2.32, 6.12, P=0.00), and drivers’ monthly income (AOR=2.49, 95%CI=1.02, 6.06, P=0.04) were demonstrated an association with day time sleepiness.Conclusions: The prevalence of day time sleepiness was relatively high in the studied population group, and factors linked to the problem are driving experiences, substance use and middle level of monthly income. Therefore, we recommend further studies on impacts of day time sleepiness and strategic action on the reduction of the relation.

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“…General health in these patients is affected by numerous factors, including the disease, family conditions and their attitudes and cognitions (13). Moreover, sleep disorders, anxiety, depression and social isolation reduce general health in ESRD patients (14)(15)(16)(17)(18).…”

Section: Introductionmentioning

confidence: 99%

The effect of a care plan based on the Roy adaptation model on general health in hemodialysis patients; a randomized controlled clinical trial

et al. 2020

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Introduction: Evidence suggests that end-stage renal disease (ESRD) significantly affects general health in the patients, causing their general health to be poorer compared to the general population. The Roy adaptation model (RAM) is the best one for ESRD patients. Objectives: The present study aimed to determine the effect of a RAM-based care plan on general health in hemodialysis patients. Patients and Methods: This randomized controlled clinical trial conducted on 60 hemodialysis patients in Iran. The data collected using a demographic questionnaire and the general health questionnaire-28 (GHQ-28). In the intervention group, the Roy assessment form was completed and the RAM-based care plan was then trained in four group sessions over 4 weeks. Individual sessions were also held if required and patients followed-up for 2 weeks. The control group received only routine care. At the end of the follow-up, general health was re-assessed in the patients. The findings were analysed using t test, the chi-square test and the McNemar test. Results: Despite observing no significant differences between the two groups in terms of general health levels before the intervention (P=0.530), the difference was significant after the intervention (P=0.028), since the mean score of general health decreased by 4.07 in the intervention group compared to before the intervention (P=0.003). The intervention significantly affected the subscales of somatic symptoms (P=0.013), anxiety and insomnia (P=0.006), social dysfunction (P=0.016) and depression (P=0.031). Conclusion: The findings suggested the positive effects of using the RAM on general health in hemodialysis patients. The RAM is therefore recommended that be used as a holistic care approach to improving general health in these patients

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An assessment of sleep quality and daytime sleepiness in hemodialysis patients: a cross-sectional study from Palestine

Cited by 15 publications

References 24 publications

Prevalence of Depression and Sleep Disorders in Patients on Dialysis: A Cross-Sectional Study in Qatar

Prevalence of Depression and Sleep Disorders in Patients on Dialysis: A Cross-Sectional Study in Qatar

Prevalence and Association of Daytime Sleepiness among Commercial Vehicle Drivers in Southwestern Ethiopia: A Descriptive Cross-Sectional Study

The effect of a care plan based on the Roy adaptation model on general health in hemodialysis patients; a randomized controlled clinical trial

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