scholarly journals Sleep Quality and Associated Factors among Diabetes, Hypertension, and Heart Failure Patients at Debre Markos Referral Hospital, Northwest Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Afework Edmealem ◽  
Sr. Genet Degu ◽  
Dessalegn Haile ◽  
Mihretie Gedfew ◽  
Bekalu Bewket ◽  
...  

Background. Chronic illnesses have a negative impact on the quality of sleep; however, patients with chronic illness do not bring sleep issues while they are coming to a health institution for a follow-up. As a result, poor sleep quality among patients with chronic illness is often unrecognized and untreated, and it results to a negative impact on the prognosis of chronic illness. Methods. An institutional-based cross-sectional study design was employed from February 22, 2018, to April 6, 2018. The total sample size was 396. The study employed a stratified random sampling technique, and study participants were selected by systematic sampling. The data were collected by a Pittsburgh Sleep Quality Index (PSQI) questionnaire which is a validated and standardized tool. The data were analyzed by SPSS version 25; text, tables, and figures were utilized for data presentation. By considering a 95% confidence level and P value of 0.05, binary logistic regression and Kruskal-Wallis test were enrolled. Results. The prevalence of poor sleep quality among diabetes, hypertension, and heart failure patients was 36.5%. The odds of being a poor sleeper are increased when age increased. Patients who have poor perception towards the prognosis of their illness were four times more likely to be a poor sleeper compared to patients with good perception (AOR=4.21, 95%CI=1.94‐9.13, P=0.001). Patients who have anxiety were four times more likely to be a poor sleeper compared with patients without anxiety (AOR=3.69, 95%CI=2.19‐6.20, P=0.001). The educational level and residence were other factors associated with sleep quality. There was a statistically significant difference of sleep quality between patients with diabetes and hypertension, and diabetes and heart failure (F 2,384=10.92, P=0.004). Conclusion and Recommendations. In this study, over one-third of patients had poor sleep quality. Age, educational level, residence, perception towards prognosis of illness, and anxiety were factors associated with sleep quality. All health care providers should assess and provide advice about sleep hygiene and influencing factors. Assessment of sleep quality for every diabetes, hypertension, and heart failure patients in every visit should be incorporated in the care package.

2019 ◽  
Vol 8 (1) ◽  
pp. 117
Author(s):  
Marnila Yesni

The heart failure disease incident rate is high in the world and Indonesia. Heart failure patients suffer from poor sleep quality. This affects the disease recovery process and increases the mortality and morbidity rates. Patients need an intervention to overcome the issue and the role of a nurse is highly needed to overcome it. The purpose of this research was to identify the effects of nursing intervention of therapy of right lateral position on the sleep quality of heart failure patients. The method used was the Quasi Experiment with the pre and post test control group consisting of 15 respondents of intervention group and 14 respondents of control group treated at RSUP M Djamil Padang, determined according to the inclusion criteria. The results of research indicated that there was a significant difference in the sleep quality of right lateral position group and the control group with the value (p = value = 0,001). The statistics test used was the independent T test. Sleep is the necessity of human beings. By giving the intervention of therapy of right lateral position, the issue of poor sleep quality in heart failure patients may be resolved. Health care service, particularly nurses, is advised to apply this therapy as an independent nursing intervention to increase the sleep quality of heart failure patients treated at the hospital.


2020 ◽  
pp. 147451512093406 ◽  
Author(s):  
Choung Ryou ◽  
Seok-Min Kang ◽  
Yeonsoo Jang

Background: Self-care behaviours are important to improve health outcomes in patients with heart failure. However, little is known about the factors related to the subdimensions of self-care behaviours in these patients. Aims: To identify the factors associated with the subdimensions of self-care behaviours among South Korean patients with heart failure. Methods: The participants in this cross-sectional descriptive study conducted between October 2016 and January 2017 were 178 patients with heart failure. Self-care behaviours were measured using the EHFScB-9, which has three subdimensions: autonomy-based adherence; provider-directed adherence; and consulting behaviours. Demographic characteristics, experience of heart failure education, physical function, patient health questionnaire-9, Pittsburgh sleep quality index and self-care confidence were also measured. Descriptive statistics and multiple linear regression analysis were conducted. Results: The mean age was 62 ± 12 years, and 37% were women. Younger age ( P=0.023), no experience of heart failure education ( P=0.039), poor physical function ( P=0.003), poor sleep quality ( P=0.037) and lower self-care confidence ( P=0.001) were significantly associated with poor autonomy-based adherence. Being employed ( P=0.042), poor sleep quality ( P=0.042) and lower levels of self-care confidence ( P=0.001) were associated with poor provider-directed adherence. Younger age ( P=0.001) and lower self-care confidence ( P=0.001) were associated with lower engagement in consulting behaviours. Conclusion: The three subdimensions of self-care behaviours were associated with different psychosocial factors, necessitating the development of tailored interventions and educational materials based on unique self-care behaviour patterns in patients with heart failure.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 933-933
Author(s):  
Tara Gruenewald ◽  
Anthony Ong ◽  
Danielle Zahn

Abstract The COVID-19 pandemic represents an unprecedented threat to individual and public health, psychosocial, and economic well-being, although COVID-19 threats and impacts may vary by age and other demographic characteristics. Although greater age is a risk factor for greater COVID-19 disease severity, we know little about the association between age and perceived and experienced COVID-19 threats and their association to well-being. These associations were examined in an ongoing 3-wave investigation of over 1,700 U.S. adults (age 18-89; 53.1% female). Wave 1 analyses indicate no significant age variation in perceived threat of COVID-19 infection, with older and younger individuals reporting similar levels of COVID-19 infection threat. However, greater age was associated with lower perceived negative impact on financial and needed resources (r=-.10**), lower perceptions of COVID-19 induced harm to mental well-being (r=-.17**), and more favorable well-being profiles. Greater perceived COVID-19 threat and negative impact on resources and well-being were linked to greater feelings of stress (β’s=.45 to .68***), loneliness (β’s=.24 to .49***), social well-being (β’s=-.19 to -.36***), and poor sleep quality (β’s=.34 to .51***). These associations did not vary with age with the exception that older individuals showed stronger links between COVID-19 threat and impacts and poorer sleep quality. Ongoing analyses are examining whether these associations persist over time. Despite older adults’ greater risk of COVID-19 disease severity and mortality, older age did not appear to be linked to greater perceived COVID-19 threat or impacts, nor linkages to ill-being, with the possible exception of potential greater vulnerability to poor sleep quality.


Author(s):  
Thalyta Cristina Mansano-Schlosser ◽  
Maria Filomena Ceolim

ABSTRACT Objectives: to analyze the factors associated with poor sleep quality, its characteristics and components in women with breast cancer prior to surgery for removing the tumor and throughout the follow-up. Method: longitudinal study in a teaching hospital, with a sample of 102 women. The following were used: a questionnaire for sociodemographic and clinical characterization, the Pittsburgh Sleep Quality Index; the Beck Depression Inventory; and the Herth Hope Scale. Data collection covered from prior to the surgery for removal of the tumor (T0) to T1, on average 3.2 months; T2, on average 6.1 months; and T3, on average 12.4 months. Descriptive statistics and the Generalized Estimating Equations model were used. Results: depression and pain contributed to the increase in the score of the Pittsburgh Sleep Quality Index, and hope, to the reduction of the score - independently - throughout follow-up. Sleep disturbances were the component with the highest score throughout follow-up. Conclusion: the presence of depression and pain, prior to the surgery, contributed to the increase in the global score of the Pittsburgh Sleep Quality Index, which indicates worse quality of sleep throughout follow-up; greater hope, in its turn, influenced the reduction of the score of the Pittsburgh Sleep Quality Index.


BJPsych Open ◽  
2021 ◽  
Vol 7 (6) ◽  
Author(s):  
Leiwen Fu ◽  
Yuan Fang ◽  
Dan Luo ◽  
Bingyi Wang ◽  
Xin Xiao ◽  
...  

Background Understanding factors associated with post-discharge sleep quality among COVID-19 survivors is important for intervention development. Aims This study investigated sleep quality and its correlates among COVID-19 patients 6 months after their most recent hospital discharge. Method Healthcare providers at hospitals located in five different Chinese cities contacted adult COVID-19 patients discharged between 1 February and 30 March 2020. A total of 199 eligible patients provided verbal informed consent and completed the interview. Using score on the single-item Sleep Quality Scale as the dependent variable, multiple linear regression models were fitted. Results Among all participants, 10.1% reported terrible or poor sleep quality, and 26.6% reported fair sleep quality, 26.1% reported worse sleep quality when comparing their current status with the time before COVID-19, and 33.7% were bothered by a sleeping disorder in the past 2 weeks. After adjusting for significant background characteristics, factors associated with sleep quality included witnessing the suffering (adjusted B = −1.15, 95% CI = −1.70, −0.33) or death (adjusted B = −1.55, 95% CI = −2.62, −0.49) of other COVID-19 patients during hospital stay, depressive symptoms (adjusted B = −0.26, 95% CI = −0.31, −0.20), anxiety symptoms (adjusted B = −0.25, 95% CI = −0.33, −0.17), post-traumatic stress disorders (adjusted B = −0.16, 95% CI = −0.22, −0.10) and social support (adjusted B = 0.07, 95% CI = 0.04, 0.10). Conclusions COVID-19 survivors reported poor sleep quality. Interventions and support services to improve sleep quality should be provided to COVID-19 survivors during their hospital stay and after hospital discharge.


2021 ◽  
Vol 5 (1) ◽  
pp. 043-050
Author(s):  
Edmealem Afework ◽  
Ademe Sewunet ◽  
Andualem Atsedemariam

Background: Pathological and nighttime sleep deprivations have substantial adverse effects on regulation of weight, sugar and blood pressure because of endothelial dysfunction, sympathetic nervous system stimulation, regulation and activation of systemic inflammation. Thus, this study was aimed to assess quality of sleep among patients with chronic illness and its associated factors at South Wollo Zone Public Hospitals, Northeast Ethiopia. Methods and Materials: The study was conducted at South Wollo Zone Public Hospitals, Northeast Ethiopia from February 15 2019 till April 15 2019. Institutional based cross sectional study design was employed. All patients with chronic illness who are on follow up in South Wollo Zone Public Hospitals were sources of population. Sample size was calculated by using EPI info version 7 and the total sample size was 344. The study employed stratified random sampling technique and study participants were selected by systematic sampling. After taking ethical approval from College of Medicine and Health Sciences Ethical Approval Committee, permission from selected Hospitals and informed verbal consent from patients, the data were collected by a tool which has 3 parts: Sociodemographic data, Pittsburgh Sleep Quality Index and factors affecting sleep quality. Data were entered in to Epi data version 4.1 and exported to Statistical Package for Service Product 25 for analysis. Different data presentation tools and binary logistic regression were enrolled by considering 95% confidence level and p value of 0.05. Result: Among the total study participants, near to one third (31.7%) of them got sleep after 30 minutes. More than one fourth of them slept for less than 7 hours. Less than half of the study participants had habitual sleep efficiency of more than 85% however 296(86%) of them did not face day time dysfunction Conclusion and recommendations: more than one third of patients with chronic illness had poor sleep quality. One third of study participants had sleep duration of less than the recommendations(less than 7 hours). Age, educational status, residence, and perception of prognosis of disease were factors that have associations with poor sleep quality among patients with chronic illness. Health care providers who are doing in chronic illness follow up clinic should be initiated to assess and screen those patients with poor sleep quality.


Sleep Health ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 277-287 ◽  
Author(s):  
Nanthini Visvalingam ◽  
Thirunavukkarasu Sathish ◽  
Michael Soljak ◽  
Ai-Ping Chua ◽  
Gerard Dunleavy ◽  
...  

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