scholarly journals Sleep Quality among Female Hospital Staff Nurses

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Pei-Li Chien ◽  
Hui-Fang Su ◽  
Pi-Ching Hsieh ◽  
Ruo-Yan Siao ◽  
Pei-Ying Ling ◽  
...  

Purpose. To investigate sleep quality of hospital staff nurses, both by subjective questionnaire and objective measures.Methods. Female staff nurses at a regional teaching hospital in Northern Taiwan were recruited. The Chinese version of the pittsburgh sleep quality index (C-PSQI) was used to assess subjective sleep quality, and an electrocardiogram-based cardiopulmonary coupling (CPC) technique was used to analyze objective sleep stability. Work stress was assessed using questionnaire on medical worker’s stress.Results. A total of 156 staff nurses completed the study. Among the staff nurses, 75.8% (117) had a PSQI score of ≥5 and 39.8% had an inadequate stable sleep ratio on subjective measures. Nurses with a high school or lower educational degree had a much higher risk of sleep disturbance when compared to nurses with a college or higher level degree.Conclusions. Both subjective and objective measures demonstrated that poor sleep quality is a common health problem among hospital staff nurses. More studies are warranted on this important issue to discover possible factors and therefore to develop a systemic strategy to cope with the problem.

2021 ◽  
Vol 31 (3) ◽  
pp. 458-464
Author(s):  
Carlos Roberto Teixeira Ferreira ◽  
Francisco Naildo Cardoso Leitão ◽  
Maura Bianca Barbary de Deus ◽  
Italla Maria Pinheiro Bezerra ◽  
Rejane Rosas Barbary de Deus ◽  
...  

Introduction: the COVID-19 pandemic incited unprecedented global restrictions on society’s behavior. Home detachment and isolation measures applied during the COVID-19 pandemic can result in problems with sleep quality. It is an important measure to reduce the risk of infection from the COVID-19 outbreak. Objective: to investigate the existence of a difference between the quality of sleep before and during the home distance imposed by the Covid-19 pandemic. Methods: cross-sectional web-based survey was sent using different conventional social media to collect data from the study population. The evaluated group was composed of 124 subjects, 57 of whom were male and 67 were female from the city of Rio Branco / AC. For this study, the Pittsburgh Sleep Quality Index questionnaire (PSQI-BR) and a socio-demographic questionnaire were used. The volunteers received a link along with the description and purpose of the study. Finally, data analysis was performed using SPSS 22.0 software. Results: sleep quality worsened significantly during home distance in four sleep components (subjective sleep quality, sleep latency, sleep drowsiness and overall PSQI score). During social distance, poor sleep was greater among respondents (OR = 5.68; 95% CI = 1.80–17.82; p = 0.70). Conclusion: the results indicated that there was a significant difference between the quality of sleep before and during home detachment and sleep disturbance and the subjective quality of sleep before and during the period of the outbreak of COVID-19 were the components that most worsened in the state of sleep


Author(s):  
Keivan Kakabaraee ◽  
Habibolah Khazaie ◽  
Azita Chehri ◽  
Maryam Seidy

Background: Subjective sleep quality plays a pivotal role in health, quality of life, and efficient performance. Objectives: The present study aimed to investigate the epidemiology of subjective sleep quality in the citizens of Kermanshah, Iran. Methods: This cross-sectional, descriptive study was conducted on all the citizens of Kermanshah in 2017. In total, 450 subjects were selected via multistage random sampling. Based on the inclusion criteria, 416 were evaluated using a self-report questionnaire of demographic characteristics and Petersburg sleep quality index (PSQI; Baisi et al., 1989). Results: In 79% of the participants, the mean score of PSQI was above the cutoff point (m = 6.64). The analysis of the questionnaires indicated the highest frequency of sleep disorders to be in the components of subjective sleep quality from the perspective of the respondents, delayed sleep, sleep disorders, and daily functional disorders. In addition, 10.6% of the subjects used very high doses of sedatives, while 10.3% used relatively high doses of these pills. Minimal sleep disorders were reported as well. Poor sleep quality was less common in women, and significant correlations were observed between age and sleep latency, sleep duration, sleep medication use, and daytime dysfunction due to sleepiness. Conclusions: According to the results, subjective sleep quality was favorable in the citizens of Kermanshah. Considering the significant effects of sleep quality on performance and quality of life, attention must be paid to this aspect of health by healthcare planners and managers.


Author(s):  
Victor Sanz-Milone ◽  
Fernanda V. Narciso ◽  
Andressa da Silva ◽  
Milton Misuta ◽  
Marco Túlio de Mello ◽  
...  

AbstractThe aim of this study was to evaluate the sleep-wake cycle of wheelchair rugby athletes during the pre-season compared to in-season. Wheelchair Rugby athletes wore an actigraph monitor during two respective 10-day periods: 1) pre-season and 2) in-season, each of which comprised three training days, three rest days, and four competition days, respectively. In addition, the players completed questionnaires regarding sleepiness, subjective quality of sleep, and chronotype, as well as the use of the sleep diary along with the actigraph measurements (20 days). The wheelchair rugby athletes had poor subjective sleep quality in both stages observed by sleep efficiency below 85% (ES 0.31) and high score in the Pittsburgh questionnaire (effect size-ES 0.55), the actigraphy results presented an increase of sleep latency (ES 0.47), and wake after sleep onset (ES 0.42). When comparing the athlete’s routine, the competition days, demonstrated a reduction in the total time of sleep and the sleep efficiency, in addition to an increase in wakefulness after sleep onset when compared with the training and rest periods. As a result, the wheelchair rugby players did not describe a pattern of sleep-wake cycle during different training phases, as well as poor sleep quality.


2012 ◽  
Vol 24 (11) ◽  
pp. 1827-1835 ◽  
Author(s):  
Chiara Cupidi ◽  
Sabrina Realmuto ◽  
Gianluca Lo Coco ◽  
Antonio Cinturino ◽  
Simona Talamanca ◽  
...  

ABSTRACTBackground: Knowledge about sleep complaints of caregivers of patients with Alzheimer's disease (AD) and Parkinson's disease (PD) is limited, and we lack information about the relationship between caregivers’ sleep problems and their quality of life (QoL).Methods: We evaluated subjective sleep quality and its relationship to QoL in a group of 80 caregivers of patients with AD (ADCG, n = 40) and PD (PDCG, n = 40), and in 150 controls. Information about night-time complaints was collected using the Pittsburgh Sleep Quality Index (PSQI). QoL was measured using the McGill QoL Questionnaire.Results: Eighteen ADCG (45%), 22 PDCG (55%), and 45 (30%) controls reported poor sleep quality. Mean global PSQI score of PDCG (6.25 ± 3.9) was not significantly different from that of ADCG (5.8 ± 3.5; p = 0.67). However, both PDCG and ADCG scored significantly higher than control group (4.3 ± 3.1; p < 0.01). ADCG frequently reported difficulties falling asleep (72.5%) and disturbed sleep (100%). PDCG reported reduced subjective sleep quality (80%) and increased sleep disturbances (100%). Poor sleep quality was associated with depressive symptoms and correlated with QoL in caregivers of both groups, particularly the psychological symptoms domain.Conclusions: Among caregivers of patients with AD and PD, poor sleep quality is frequent and significantly linked to QoL and depressive symptoms. Identifying the nature of sleep disturbances not only in patients but also in their caregivers is important as appropriate treatment may lead to a better management of the needs of families coping with these patients.


1989 ◽  
Vol 65 (3) ◽  
pp. 1043-1052 ◽  
Author(s):  
James H. Price ◽  
Sharon M. Desmond ◽  
Terry A. Eoff

To assess hospital staff nurses' perceptions regarding the poor and their health care a total of 240 nurses were selected from 6 of 8 area hospitals to participate in the study (40 nurses from each institution). of the 240 nurses selected, 192 nurses completed the questionnaire (80% return rate). The majority of the sample believed the poor were caught in a “cycle of poverty” (84%) which implies they believe the poor cannot help being poor. However, some of the nurses in this sample also held “victim blaming” attitudes, i.e., poor women become pregnant to collect welfare (58%), the poor live well on welfare (35%), and a person's poverty is due to advantages squandered (27%). About one-third of the nurses agreed poor patients do not receive equivalent quality of care when compared to nonpoor patients and that transferring patients to another hospital due to an inability to pay was very common. Ten percent agreed assisting the poor in becoming well was a waste of medical care as they would be back again soon with another problem. Over half the sample believed the poor were not likely to engage in preventive health behaviors (66%) nor be compliant with their medical regimens (52%). Such attitudes should be studied to see if they affect communication between the poor and their nurse caregivers.


2017 ◽  
Vol 73 (10) ◽  
pp. 2484-2494 ◽  
Author(s):  
Brigitte Johanna Maria De Brouwer ◽  
Cheryl Fingal ◽  
Lisette Schoonhoven ◽  
Marian J. Kaljouw ◽  
Theo Van Achterberg

Author(s):  
Yeounsoo Kim-Godwin ◽  
Meenhye Lee ◽  
Jeongok G. Logan ◽  
Xiaoyue Liu

This study aimed to assess the overall level of sleep quality among female staff nurses in the United States during the early COVID-19 pandemic. It also aimed to examine factors associated with sleep quality and its seven subcomponents: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, use of sleeping medications, and daytime dysfunction. A descriptive, correlational, and cross-sectional study design was used. We performed descriptive, and regression analyses with a sample of 215 female staff nurses enrolled in post-licensure online nursing programs at a southeastern state university. Data collection was conducted using an online survey from April to May 2020. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). Nurses working part time (p = 0.02), with lower perceived physical health (p = 0.01), a lower self-care self-regulation score (p < 0.001), and higher work stress (p < 0.05) showed poorer sleep quality. Factors associated with subcomponents of sleep quality varied. Poor sleep quality among nurses during the COVID-19 pandemic was reported. Various factors, including work environmental factors were associated with the sleep quality in this sample. Hospital administrators should consider developing intervention programs for improving the work environment, which would impact sleep quality, health status, and job performance.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guanglin Si ◽  
Yi Xu ◽  
Mengying Li ◽  
Yuting Zhang ◽  
Shuzhen Peng ◽  
...  

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yen-Ching Chang ◽  
Megan C. Chang ◽  
Yun-Jou Chang ◽  
Ming-De Chen

Abstract Background Sleep disruption is pervasive in people with schizophrenia, but few studies have explored their sleep experiences. This study aims to identify factors relevant to sleep problems and explore coping methods used by community-dwelling people with schizophrenia. Methods Eighteen participants with schizophrenia were recruited from three mental health centers in Taiwan. They completed a semi-structured interview and the Pittsburgh Sleep Quality Index (PSQI) assessment. The Person-Environment-Occupation model offered a framework to assess factors related to sleep. Thematic analysis was used for the qualitative data analysis. Results Factors related to sleep were classified under person, environment, and occupation domains. The person domain included three subthemes: psychiatric symptoms, unpleasant emotions, and frustration about sleep. The environment domain included three subthemes: sensory intrusions from the environment, quality of bedding, and roommates. The occupation domain included sleep interruption and sleep preparation. There were notable discrepancies in sleep quality between the participants’ narratives and their PSQI global scores. Regarding coping methods for poor sleep, sleep medication was the primary strategy while some participants also used other strategies, such as modifying the environment, adjusting routines, or engaging in activities that improve sleep quality. Conclusions Psychiatric symptoms and nightmares were identified as unique sleep disruptions in people with schizophrenia, and poor economic status was also found to impact their sleep. The sleep quality of people with schizophrenia tends to be poor, as identified by the PSQI, even though they may have positive perceptions of their sleep quality. Our participants appeared to prefer to take hypnotics to address their sleep problems, which may be due to limited knowledge about alternatives. Mental health professionals are encouraged to receive training in the application of non-pharmacological approaches to support their clients’ issues related to sleep.


Author(s):  
Rulan Yin ◽  
Lin Li ◽  
Lan Xu ◽  
Wenjie Sui ◽  
Mei’e Niu ◽  
...  

Abstract Background Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients. Methods Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model. Results A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference =  − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions. Conclusion Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.


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