scholarly journals The Relationship Between Psychological Conditions And Sleep Quality In The Covid-19 Rooms

2021 ◽  
pp. 109-117
Author(s):  
Widiastuti Widiastuti ◽  
Novita Nirmalasari
Keyword(s):  
Nursing Education ◽  
Sleep Quality ◽  
Health Workers ◽  
Well Being ◽  
Poor Sleep ◽  
Mild Stress ◽  
Mild Depression ◽  
Poor Sleep Quality ◽  
Psychological Conditions ◽  
The Relationship

Background: The COVID-19 pandemic has the potential to cause severe psychological harm. Psychological conditions such as anxiety, depression, stress, and disturbances are common among health care workers. The factors causing stress in health workers include workload, fear of being infected with COVID-19, the negative stigma of virus carriers, and being away from family. The research purposed to know the relationship between psychological condition and sleep quality. Methods: The research population consists of all nurses who have worked in the covid room. This research used descriptive correlation with a cross-sectional approach. The samples were collected using a simple random sampling technique with 30 respondents as inclusion and exclusion criteria. The questionnaires Depression Anxiety Stress Scale-21 (DASS-21) and Pittsburgh Sleep Quality Index (PSQI) were completed by the respondent. Data analysis was used Chi-Square. Results: Most of the respondents were females (66,67%) over the age of 30 (70%).  Most of them had a nursing education diploma (60%). They were dominant and had normal levels of depression (96,67%), anxiety (86,67%), and stress (93,33%). Most of them had poor sleep quality (63,33%). According to the findings, the p-values for depression, anxiety, and stress in sleep quality were 0.43, 0.73, and 0.26. It represents that no relationship exists between one variable and another. Meanwhile, some respondents have mild depression, moderate anxiety, and mild stress with poor sleep quality. Conclusion: Poor psychological conditions are still found in nurses, which can interfere with the quality of nursing services. Additional nursing interventions are required to improve nurses' psychological well-being.

scholarly journals Age Variations in Perceived COVID-19 Threats, Negative Impacts, and Associations with Well-Being

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 933-933
Author(s):  
Tara Gruenewald ◽  
Anthony Ong ◽  
Danielle Zahn
Keyword(s):  
Sleep Quality ◽  
Disease Severity ◽  
Negative Impact ◽  
Well Being ◽  
Poor Sleep ◽  
Older Individuals ◽  
Poor Sleep Quality ◽  
Age Variations ◽  
Age Variation ◽  
Negative Impacts

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.

scholarly journals Prediction of Diabetic Nephropathy from the Relationship between Fatigue, Sleep and Quality of Life

2020 ◽  
Vol 10 (9) ◽  
pp. 3282
Author(s):  
Angela Shin-Yu Lien ◽  
Yi-Der Jiang ◽  
Jia-Ling Tsai ◽  
Jawl-Shan Hwang ◽  
Wei-Chao Lin
Keyword(s):  
Quality Of Life ◽  
Feature Selection ◽  
Diabetic Nephropathy ◽  
Sleep Quality ◽  
Support Vector ◽  
Svm Classifier ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Fatigue and poor sleep quality are the most common clinical complaints of people with diabetes mellitus (DM). These complaints are early signs of DM and are closely related to diabetic control and the presence of complications, which lead to a decline in the quality of life. Therefore, an accurate measurement of the relationship between fatigue, sleep status, and the complication of DM nephropathy could lead to a specific definition of fatigue and an appropriate medical treatment. This study recruited 307 people with Type 2 diabetes from two medical centers in Northern Taiwan through a questionnaire survey and a retrospective investigation of medical records. In an attempt to identify the related factors and accurately predict diabetic nephropathy, we applied hybrid research methods, integrated biostatistics, and feature selection methods in data mining and machine learning to compare and verify the results. Consequently, the results demonstrated that patients with diabetic nephropathy have a higher fatigue level and Charlson comorbidity index (CCI) score than without neuropathy, the presence of neuropathy leads to poor sleep quality, lower quality of life, and poor metabolism. Furthermore, by considering feature selection in selecting representative features or variables, we achieved consistence results with a support vector machine (SVM) classifier and merely ten representative factors and a prediction accuracy as high as 74% in predicting the presence of diabetic nephropathy.

scholarly journals Relationship Between Sleep–Wake Disturbance and Risk of Malnutrition in Hospitalized Patients With Cirrhosis

2021 ◽  
Vol 8 ◽  
Author(s):  
Yangyang Hui ◽  
Xiaoyu Wang ◽  
Zihan Yu ◽  
Hongjuan Feng ◽  
Chaoqun Li ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Adverse Outcomes ◽  
Nutritional Risk ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Entire Cohort ◽  
Related Quality ◽  
Male Patients ◽  
End Stage ◽  
The Relationship

Both sleep–wake disturbance and malnutrition are common in cirrhosis and might be associated with similar adverse outcomes, such as impaired health-related quality of life, hepatic encephalopathy, and sarcopenia, but there is no study investigating the relationship between these two. We aimed to explore the relationship between sleep–wake disturbance [estimated by the Pittsburgh Sleep Quality Index (PSQI)] and malnutrition risk [estimated by the Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT)]. About 150 patients with cirrhosis were prospectively recruited. The nutritional risk is classified as low (0 points), moderate (1 point), and high (2–7 points) according to the RFH-NPT score. A global PSQI >5 indicated poor sleepers. Furthermore, multivariate linear regression analyses were performed to determine the relationship between sleep–wake disturbance and malnutrition. The median PSQI was seven, and RFH-NPT was two in the entire cohort, with 60.67 and 56.67% rated as poor sleep quality and high malnutrition risk, respectively. Patients with cirrhosis with poor sleep quality had significantly higher RFH-NPT score (3 vs. 1, P = 0.007). Our multivariate analyses indicated that male patients (β = 0.279, P < 0.001), ascites (β = 0.210, P = 0.016), and PSQI (β = 0.262, P = 0.001) were independent predictors of malnutrition. In addition, the differences regarding PSQI score were more significant in male patients, as well as those >65 years or with Child-Turcotte-Pugh class A/B (CTP-A/B) or the median model for end-stage liver disease (MELD) <15. Taken together, the sleep–wake disturbance is strongly correlated with high malnutrition risk in patients with cirrhosis. Given sleep–wake disturbance is remediable, it is tempting to incorporate therapies to reverse poor sleep quality for improving nutritional status in patients with cirrhosis.

scholarly journals The relationship between sleep hygiene and sleep quality among residents of an elderly care institution in DKI Jakarta

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Mutia Annisa ◽  
Dwi Nurviyandari Kusuma Wati
Keyword(s):  
Sleep Quality ◽  
Sleep Problems ◽  
Elderly Care ◽  
Sleep Hygiene ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
The Relationship ◽  
Purposive Sample

<p class="AbstractContent"><strong>Objective:</strong> Elderly are at risk of poor slepp quality and other health problems due to reduced sleep satisfaction. The objective of this study was to explore the association between sleep hygiene and sleep quality in elderly.</p><p class="AbstractContent"><strong>Methods: </strong>This was a descriptive study with cross sectional design. The study was conducted in four elderly care institutions in Jakarta, Indonesia, involving a purposive sample of 103 elderly aged 60 to 111 years old. Data were collected using Sleep Hygiene Index (SHI) and Pittsburgh Sleep Quality Index (PSQI).</p><p class="AbstractContent"><strong>Results:</strong> Over half of the residents had poor sleep hygiene (51.5%) and more than three quarter (81.6%) had poor sleep quality. The study revealed that there was a highly significant relationship between sleep hygiene and sleep quality (p = 0.001). The study also showed that those with poor sleep hygiene were 7.834 times more likely to have poor sleep quality.<strong></strong></p><p class="AbstractContent"><strong>Conclusion: </strong>Nurses need to include interventions that may address residents’ sleep problems. They also need to promote sleep hygiene and improve residents’ sleep quality.<strong></strong></p><strong>Keywords: </strong>elderly, institution, sleep hygiene, sleep quality

scholarly journals Sleep Quality and Self-Control: The Mediating Roles of Positive and Negative Affects

2020 ◽  
Vol 11 ◽  
Author(s):  
Jinru Liu ◽  
Lin Zhu ◽  
Conghui Liu
Keyword(s):  
Negative Affect ◽  
Sleep Quality ◽  
Positive Affect ◽  
Self Control ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Negative Affects ◽  
The Relationship ◽  
Positive And Negative Affects

This study examined the mediating roles of both positive and negative affects in the relationship between sleep quality and self-control. A sample of 1,507 Chinese adults (37% men; mean age = 32.5 years) completed self-report questionnaires measuring sleep quality, positive and negative emotions, and self-control. Poor sleep quality was positively correlated with negative affect and negatively correlated with positive affect and self-control. Positive affect was positively correlated with self-control, while negative affect was negatively correlated with self-control. Both positive and negative affects significantly mediated the relationship between sleep quality and self-control. Improving individuals’ sleep qualities may lead to more positive emotions and less negative emotion, and these mood changes may increase resources for self-control. Regulating positive and negative affects may reduce the negative effects of poor sleep quality on self-control.

Sleep quality mediates the relationship between frailty and cognitive dysfunction in non-demented middle aged to older adults

2019 ◽  
Vol 31 (06) ◽  
pp. 779-788 ◽  
Author(s):  
Sonya Kaur ◽  
Nikhil Banerjee ◽  
Michelle Miranda ◽  
Mitchell Slugh ◽  
Ni Sun-Suslow ◽  
...  
Keyword(s):  
Older Adults ◽  
Executive Function ◽  
Sleep Quality ◽  
Cognitive Decline ◽  
Processing Speed ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Delayed Recall ◽  
The Relationship

ABSTRACTObjectives:Frailty is associated with cognitive decline in older adults. However, the mechanisms explaining this relationship are poorly understood. We hypothesized that sleep quality may mediate the relationship between frailty and cognition.Participants:154 participants aged between 50-90 years (mean = 69.1 years, SD = 9.2 years) from the McKnight Brain Registry were included.Measurements:Participants underwent a full neuropsychological evaluation, frailty and subjective sleep quality assessments. Direct relationships between frailty and cognitive function were assessed using linear regression models. Statistical mediation of these relationships by sleep quality was assessed using nonparametric bootstrapping procedures.Results:Frailty severity predicted weaker executive function (B = −2.77, β = −0.30, 95% CI = −4.05 – −1.29) and processing speed (B = −1.57, β = −0.17, 95% CI = −3.10 – −0.16). Poor sleep quality predicted poorer executive function (B = −0.47, β = −0.21, 95% CI = −0.79 – −0.08), processing speed (B = −0.64, β = −0.28, 95% CI = −0.98 – −0.31), learning (B = −0.42, β = −0.19, 95% CI = −0.76 – −0.05) and delayed recall (B = −0.41, β = −0.16, 95% CI = −0.80 – −0.31). Poor sleep quality mediated the relationships between frailty severity and executive function (B = −0.66, β = −0.07, 95% CI = −1.48 – −0.39), learning (B = −0.85, β = −0.07, 95% CI = −1.85 – −0.12), delayed recall (B = −0.47, β = −0.08, 95% CI = −2.12 – −0.39) and processing speed (B = −0.90, β = −0.09, 95% CI = −1.85 – −0.20).Conclusions:Relationships between frailty severity and several cognitive outcomes were significantly mediated by poor sleep quality. Interventions to improve sleep quality may be promising avenues to prevent cognitive decline in frail older adults.

scholarly journals The relationship between Fear of Hypoglycemia and Sleep Quality among type II Diabetic Patients

2019 ◽  
Author(s):  
Leili Yekefallah ◽  
Farzaneh Talebi ◽  
Ali Razaghpoor ◽  
Mohammmad Hossein Mafi
Keyword(s):  
Sleep Quality ◽  
Significant Relationship ◽  
Diabetic Patients ◽  
Poor Sleep ◽  
Type Ii ◽  
Poor Sleep Quality ◽  
Fear Of Hypoglycemia ◽  
The Mean ◽  
The Relationship

Abstract Introduction and Objective Fear of hypoglycemia can result in anxiety, stress, anger, depression and severe avoidance behaviors that it affects the sleep quality of diabetic patients. Therefore, the present study was conducted with the aim of investigating the relationship between fear of hypoglycemia and sleep quality among type II diabetic patients. Methods The present cross-sectional study was conducted on 400 type II diabetic patients referred to endocrinology clinic of Velayat Hospital and Boali Hospital in Qazvin, in 2018. Data were collected using a checklist for demographic variables, the Fear of Hypoglycemia Survey (FHS-W), and the Pittsburgh sleep quality index (PSQI). Descriptive statistics and Spearman correlation test were performed for data analysis using SPSS v24. Results In this study, the mean age of diabetic patients was 55.75±10.31. The majority of the participants were female (n=299, 74.8%) and were treated with oral anti-diabetic drugs (n=174, 43.5%). The mean score of sleep quality in patients was 8.98±3.64 and the fear of hypoglycemia was 21.27±11.92. The results of this study showed that there was a significant relationship between the fear of hypoglycemia and the poor sleep quality among patients (p<0.001, r=0.305). Conclusion The fear of hypoglycemia has a direct and significant relationship with poor sleep quality in diabetic patients; so that this fear reduces the quality of sleep in diabetic patients. Therefore, in order to provide adequate sleep to prevent inappropriate sleep complications, great attention should be paid to the issue of fear of hypoglycemia, and consider some actions to reduce this fear.

scholarly journals The Moderating Effect of Nursing Practice Environment on the Relationship between Clinical Nurses’ Sleep Quality and Wellness

2020 ◽  
Vol 17 (19) ◽  
pp. 7068
Author(s):  
Kyung Jin Hong ◽  
Youngjin Lee
Keyword(s):  
Sleep Quality ◽  
Nursing Practice ◽  
Well Being ◽  
Moderating Effect ◽  
Poor Sleep ◽  
Practice Environment ◽  
Clinical Nurses ◽  
Nursing Practice Environment ◽  
The Mean ◽  
The Relationship

This study examined the moderating effect of nursing practice environment on the relationship between clinical nurses’ sleep quality and wellness. The wellness of clinical nurses is a direct outcome of individual-level health behaviors and organizational environmental factors. This study was a cross-sectional analysis. Participants were clinical nurses recruited using convenience sampling. The Nurse Practice Environment Scale, Wellness Index, and Pittsburgh Sleep Quality Index, Korean version (PSQI-K) were used. Data collected from 1874 nurses were analyzed using descriptive statistics and hierarchical multiple regression analyses. A total of 95.3% of the participants were women, and the mean age was 28.8 years. Further, 42.4% of the participants had a nursing career of 5 years or longer. The mean score for nursing practice environment was 2.24 and the mean PSQI-K score was 9.39. Nurses with less than 1 year of experience reported lower wellness scores. The wellness scores decreased with poorer sleep quality, and a more positive evaluation of the nursing practice environment predicted higher levels of wellness. Nursing practice environment had a moderating effect on the negative association of nurses’ poor sleep quality with their wellness. Regarding management, individual strategies for nurses’ well-being and organizational improvement policies may improve the nursing work environment.

Sign in / Sign up

Export Citation Format

Share Document