Sleep Quality Of Nurses Research Articles

Sleep quality and the need for recovery among nurses working irregular shifts: A cross-sectional study.

Shift work affects the mental and physical health of nurses, yet the effect of working irregular shifts on sleep and its association with the need for recovery is under-explored. The purpose of this study was to investigate the sleep quality of nurses working irregular shifts, including night shifts, and to determine whether sleep quality is associated with the need for recovery. This cross-sectional study included 405 nurses working irregular shifts. Data were collected using an online questionnaire that included sociodemographic characteristics, the Sleep-Wake Experience List, sleep problems, sleep duration, and the Need for Recovery scale. Data analyses included descriptive statistics, chi-square tests, t-tests, logistic and multiple linear regressions. Nurses who worked irregular shifts had poor sleep quality. Those who also worked night shifts, had significantly poorer sleep quality and experienced more difficulties in daily functioning than those who did not work night shifts. Sleep quality was significantly associated with the need for recovery and this remained so after controlling for confounding variables (β= .554, p = .001). The findings indicate that in nurses who work irregular shifts, the sleep quality is low. In this group, the sleep quality in nurses who work night shifts is lower than in nurses who do not work night shifts. Furthermore, better sleep quality was associated with lower need for recovery. These findings suggest that improving sleep quality in nurses working irregular shifts may lower their need for recovery, which may improve health, and reduce burnout and sickness absence.

Stress mindset and nurses' sleep quality: mediating effects of stress overload and anxiety.

Previous studies have shown that overall sleep quality among Chinese nurses is relatively low, with a sleep disorder prevalence rate of approximately 66.4%. Against the backdrop of healthcare reforms, China has been striving to improve the mental health and sleep quality of nurses. Stress mindset can influence how individuals respond to stress, but there is limited research on how stress mindset affects nurses' sleep quality. This study aims to explore the impact of stress mindset on sleep quality among nurses, as well as the mediating roles of stress overload and anxiety in this relationship. The study was conducted online using a questionnaire from February 18 to February 22, 2024. It utilized the Stress Mindset Measure (SMM), the Stress Overload Scale-Short (SOS-S), the Generalized Anxiety Disorder 7-item scale (GAD-7), and the Pittsburgh Sleep Quality Index (PSQI) to survey 441 nurses in three regions of China: Chongqing, Hunan, and Shandong (M = 34.39, SD = 7.82, 95.7% female). A chain mediation model was employed to examine the mediating roles of stress overload and anxiety in the relationship between stress mindset and sleep quality. The participants' average sleep quality score was 7.18 ± 3.47. Nurses' stress mindset was significantly negatively correlated with both stress overload and anxiety, and significantly positively correlated with sleep quality. Stress overload was significantly positively correlated with anxiety and significantly negatively correlated with sleep quality. Anxiety was also significantly negatively correlated with sleep quality. The direct effect of nurses' stress mindset on sleep quality was significant (effect size = -0.10, 95% CI: -0.19 to -0.01), as were the indirect effects through stress overload (effect size = -0.05, 95% CI: -0.11 to -0.01) and anxiety (effect size = -0.09, 95% CI: -0.13 to -0.05), along with their chain mediation effect (effect size = -0.10, 95% CI: -0.14 to -0.06). Our study demonstrates that a higher level of nurses' stress mindset is associated with better sleep quality, with stress overload and anxiety mediating this relationship. A positive stress mindset helps nurses cope more effectively with professional challenges and reduces anxiety, leading to improved sleep quality. Healthcare institutions should therefore prioritize fostering positive stress mindsets in nurses, encouraging regular psychological training and workshops to support the development of effective coping strategies.

Relationship between shift type and sleep quality in rotating-shift nurses with chronotype as a moderator variable.

Rotating-shift nurses are susceptible to sleep disorders due to numerous factors, such as their biological clock, emotions, and age. At present, a lack of research exists on whether chronotype and shift type jointly influence the sleep quality of nurses. To verify whether chronotype is a moderator variable of the relationship between shift type and sleep quality in nurses in order to provide empirical evidence for future mental and physical health improvement. Clinical rotating-shift nurses at a medical center in northern Taiwan were recruited as participants between November 1, 2023, and December 13, 2023. All of the nurses were working a monthly rotating shift schedule. Hierarchical multiple regression analysis was employed to investigate whether the influence of shift type on sleep quality in nurses varied with chronotype. The STROBE checklist was used for reporting this study. The participants were 255 rotating-shift nurses in this study. Hierarchical multiple regression results revealed that rotating-shift nurses who were older (B=0.19, p=0.029), had greater physical fatigue (B=0.27, p=0.016), and had more negative emotions (B=0.17, p=0.011) suffered from poorer sleep quality. After controlling the above factors, we further found that chronotype indeed had moderating effects on the influence of shift type on sleep quality (B=-1.83, p=0.049). This study demonstrates that early- and intermediate-type nurses are more suitable for working the day and evening shifts, whereas late-type nurses are more suitable for working the night shift. Coordinating chronotype with shift type will ensure that shift schedules better match the biological clocks of nurses; such individual considerations could help to improve their sleep quality.

EXAMINATION OF CORONAVIRUS ANXIETY AND SLEEP QUALITY OF NURSES DURING COVID-19 PANDEMIC

Introduction: Nurses are health professionals who are in contact with patients for a long time, communicate and play an active role during the pandemic period. It is necessary to evaluate the anxiety levels and sleep quality of nurses during the pandemic process. Aim: This study was carried out to examine the coronavirus anxiety and quality of sleep of nurses during the COVID-19 pandemic. Materials and Methods: This descriptive and cross-sectional study was completed with 384 nurses. We collected data using the "Introductory Information Form", "Coronavirus Anxiety Scale" and "Pittsburgh Sleep Quality Index (PSQI)". The analysis of the obtained data included numbers, percentile distributions, mean and standard deviation, Mann Whitney U test, Kruskal Wallis, Dunn test and Spearman correlation test. Results: The total Coronavirus anxiety scale score of the nurses included in the study is 3.14 ± 3.85 (min: 0, max: 20), and the total point average of PSQI is 13.29±2.57 (min: 7, max: 20). There is also a positive significant relationship between the coronavirus anxiety scale and PSQI (p<0.001, r=0.318). Conclusion and Suggestions: Participants were found to have poor sleep quality and with low levels of anxiety about COVID-19. Nurses should be strengthened through sustainable physical and psychological initiatives in order to reduce coronavirus anxiety and improve sleep quality in the COVID-19 pandemic.

Sleep quality of nurses in the specialist health service – a cross-sectional study

Sleep quality of nurses in the specialist health service – a cross-sectional study

The Relationship between Nurses’ COVID-19 Risk Perceptions, Anxiety Levels and Sleep Quality

Objective: This study was conducted to determine the relationship between COVID-19 risk perceptions, anxiety levels, and the sleep quality of nurses. Methods: The sample of the descriptive and correlational study consisted of 248 nurses. The data were collected face-to-face using a Questionnaire form, the COVID-19 Perceived Risk Scale, the Coronavirus Anxiety Scale, and the Pittsburg Sleep Quality Index between July 1, 2021, and December 29, 2021. Data were evaluated with descriptive statistics, Mann-Whitney U and Kruskal Wallis test, Spearman correlation analysis test, and linear regression analysis. Results: The mean score was 29.73±6.66 for the COVID-19 Perceived Risk Scale, 4.22±0.28 for the Coronavirus Anxiety Scale score, and 8.30±3.3 for the Pittsburg Sleep Quality Index. A moderate positive correlation was found between the participants' Pittsburg Sleep Quality Index scores and the Coronavirus Anxiety Scale total score (r=0.300, p

Chinese Medicine Constitution that Influences Sleep Quality and Fatigue among Chinese Nurses Working in Shifts in Japan and China

Nurses who work in shifts may face poor sleep quality and oppressive fatigue. The purpose of this study was to clarify Chinese medicine constitution that influences sleep quality and fatigue among Chinese nurses engaged in shift work. Considering that these conditions might differ according to living environments, studies were conducted both in Japan and China. Data were gathered using the attributes of nurses, the Pittsburgh Sleep Quality Index to evaluate sleep quality, the Jikaku-sho shirabe to evaluate fatigue, and the Constitution in Chinese Medicine Questionnaire, which evaluates Chinese medicine constitution according to nine criteria. The survey was conducted via internet, with data analyzed from 100 Chinese subjects in Japan and 100 Chinese subjects in China. Increase in age, living in China, Qi-deficiency constitution and Blood-stasis constitution were causal factors for lower sleep quality. Sleep quality was significantly lower among nurses in China than those in Japan. The following factors were observed to be causal factors for increased fatigue: longer histories of working in shifts, living in Japan, poorer quality sleep, Qi-deficiency constitution, Yang- and Yin-deficiency constitution, Qi-stagnation constitution and Inherited special constitution. Nurses in Japan showed significantly greater fatigue at the end of a night shift than did those in China. It is suggested that adjustments of Qi-deficiency constitution and Blood-stasis constitution can improve sleep quality in nurses who work in shifts. We believe that improving sleep quality and making adjustments to the five types of Chinese medicine constitution can work to reduce fatigue.

0689 Nurses and Sleep: The Relationship Between Patient-Related Stressors and Sleep Quality

Abstract Introduction Poor sleep quality in nurses is linked to worse psychological health. Identifying which occupational stressors may impact nurses’ sleep quality and psychological health may provide an opportunity for intervention. Patient-related stressors such as worrying about and/or an inability to help patients recover or survive hospitalization have a negative impact on a nurses’ psychological health. It remains unclear if patient-related stressors also impact nurses’ sleep quality. We examined if more patient-related stressors are associated with lower sleep quality in nurses. Methods The Worksite Blood Pressure Study is a multi-site study investigating psychosocial factors and ambulatory blood pressure. The study recruited 472 participants from 10 New York City worksites including 105 nurses during 3 waves over 11 years. The current analysis was restricted to 82 nurses at Wave 3. Participants completed the Nurses’ Stress Inventory Questionnaire which assessed the frequency and severity of stressful situations at work and a sleep questionnaire. Items on patient-related stressors and sleep quality were examined with higher scores indicating more stress and worse sleep quality, respectively. A linear regression model was specified predicting sleep quality from stressful patient interactions; participants answering at least 8 of the 16 items querying these interactions were included in the analysis. Age, race/ethnicity, religion, personal income, employment tenure, and years of education were included as covariates. Results Participants (N=82) were 96.3% female, 30.5% Black, 4.8% Hispanic/Latinx, 75.6% Christian. Mean age was 40.2 years (SD = 7.5), mean years of education was 15.4 (SD = 2.2), mean employment tenure was 8.3 years (SD = 6.7), and median personal income was $55,000 (Range $17,500, $95,000). Mean sleep quality was 8.9 (SD = 2.6). Nurses who reported greater frequency and severity of patient-related stressors had significantly worse sleep quality, B = 1.79, 95% CI 0.20, 3.37, p = 0.028. Sensitivity analyses restricting the analysis to nurses with no missing data on stressful interactions replicated these results, B = 2.22, 95% CI 0.34, 4.09, p = 0.022. Conclusion Patient-related stressors were associated with lower sleep quality in nurses. Efforts to increase support to nurses who experience patient-related stressors may help improve nurses’ sleep quality and possibly psychological health. Support (if any) P01HL47540

Associations between the Timing and Nutritional Characteristics of Bedtime Meals and Sleep Quality for Nurses after a Rotating Night Shift: A Cross-Sectional Analysis.

The purpose of this study was to investigate the associations of the timing and nutritional characteristics of bedtime meals with sleep quality in nurses after rotating night shifts. In total, 128 nurses from a university hospital in South Korea participated in this cross-sectional study. Data were collected on the first night of two or three consecutive routine night shifts. Participants recorded all food eaten before going to bed after work. An accelerometer was used to objectively measure sleep quality, and subjective sleep quality was assessed by self-report using the Korean version of the Verran and Snyder-Halpern Sleep Scale. The associations of timing and nutritional characteristics of bedtime meals with sleep quality after night shifts were analyzed using multivariate linear regression. A short time interval between meals and sleep was associated with longer objectively measured total sleep time (β = -0.37, p = 0.002), and the proportion of protein in meals was associated with better objectively measured sleep efficiency (β = 0.31, p = 0.007). The shorter the time interval, the better the subjective sleep quality (β = -0.23, p = 0.048), and high-calorie meals were positively associated with subjective sleep quality (β = 0.23, p = 0.043). Based on our findings, we encourage nurses to have protein-rich meals after night shifts and reduce the delay between meals and sleep. Although high-calorie meals were shown to have a positive effect on subjective sleep quality, it is necessary to confirm this effect through additional research.

Sleep quality of nurses who worked in coping with COVID-19: an integrative review

RESUMO Objetivo: analisar nas evidências científicas a qualidade do sono de enfermeiros que atuaram no enfrentamento da COVID-19. Métodos: revisão integrativa, realizada em sete bases de dados, incluindo estudos entre dezembro de 2021 e junho de 2022, sem restrições de idioma. A amostra foi constituída por 15 estudos primários. Resultados: os enfermeiros atuantes na assistência hospitalar, intensiva, ambulatorial e de instituição de ensino constituem grupo vulnerável para alterações no sono: latência, duração, eficiência e qualidade. Os transtornos identificados envolveram a insônia em níveis variados de gravidade: a disfunção diurna e a sonolência matinal. O trabalho noturno e a baixa capacidade para autocuidado foram determinantes do comprometimento no padrão de sono. Considerações finais: a pandemia de COVID-19 contribuiu para maior vulnerabilidade do enfermeiro às alterações no sono, exigindo estratégias para gerenciamento do risco e da promoção do bem-estar.

Association Between Role Overload and Sleep Quality Among Chinese First-Line Nurses During the COVID-19 Outbreak: The Moderating Effect of Mindfulness.

Nurses working during the coronavirus disease 2019 (COVID-19) pandemic have experienced a high incidence of insomnia because of exposure to life-threatening occupational risks. Good sleep is essential for nurses to maintain their ability to care for patients with infectious diseases. The aim of this study was to assess the influence of role overload on sleep quality and the moderating role of mindfulness. A cross-sectional survey design was used in this study, which was conducted between March 20 and April 5, 2020. The survey was completed by 357 nurses who had relocated from Fujian Province to the epicenter of the outbreak in China to treat patients with COVID-19. Role overload, sleep quality, and mindfulness in these nurses were evaluated using the Role Overload Scale, Pittsburgh Sleep Quality Index, and Five-Facet Mindfulness Questionnaire, respectively. Hierarchical regression and other statistical methods were used to analyze the data. Role overload was shown to be positively related to poor sleep quality, and mindfulness was found to be effective in alleviating sleep disorders associated with role overload. The high risk of sleep disturbance among frontline nurses may be alleviated by reducing their perceived role overload. The identification of mindfulness as a moderating mechanism in the relationship between role overload and sleep quality provides new insights to improve sleep quality in nurses.

SLEEP QUALITY AND SLEEP DISTURBING FACTORS AMONG NURSES IN A SELECTED HOSPITAL IN COLOMBO, SRI LANKA

Sleep is a naturally recurring state of mind and body which is a vital human physiological process. The sleep quality of nurses has become a prominent social focus since they are engaging in work based on a shift schedule. The paucity of data available on sleep quality and associated factors in Sri Lanka led this study to be conducted among nurses at Apeksha Hospital, Sri Lanka. A descriptive cross-sectional study was conducted among 215 nurses at Apeksha Hospital, using a simple random - sampling method. A self-administered structured questionnaire was used as the data collection instrument and Pittsburgh Sleep Quality Index (PSQI) was used to measure the sleep quality among nurses. The majority (86.5%) were females. Of the participants 65.58% had deficient sleep (PSQI≥5) and 34.42% had healthy sleep (PSQI<5). The mean score of the sleep quality was 7.16±3.30. Sleep quality was significantly (p<0.05) associated with chronic symptoms (p=0.003), children status (p=0.007), night shift frequency per month (p=0.029), number of patients per night shift (p=0.048), number of working hours per week (p=0.001), sleep duration (p=0.032), sleep disturbances at night (p=0.001), sleep medication use (p=0.020), and daytime dysfunction (p=0.001). In conclusion, sleep quality was poor among nurses working at Apeksha Hospital, Sri Lanka. The characteristics of night shifts, such as number of shift duties, number of hours, and number of patients in the night shift, were associated with the sleep quality of nurses. Therefore, scheduling working hours and night shifts according to the `national and international guidelines are vital.

Which Shiftwork Pattern Is the Strongest Predictor for Poor Sleep Quality in Nurses?

Shiftwork is related to an increased risk of several diseases, including gastric ulcers, myocardial infarction, and diabetes. Several shiftwork patterns are related to poor sleep quality, such as a quick returns or extended shifts. This study aimed to find the shiftwork patterns strongly associated with poor sleep quality amongst nurses. A cross-sectional analytical study was conducted among nurses working for at least one month. The sub-groups were the good sleep quality group (n = 150) and the poor sleep quality group (n = 472). Eligible participants were asked to complete a self-reported questionnaire comprising personal characteristics, job characteristics, shiftwork characteristics, and sleep quality. Factors associated with poor sleep quality were determined using logistic regression analysis. Two factors associated with poor sleep quality remained in the final model: viz., depression and backward rotational shift. The only independent factor for poor sleep quality was a backward rotational shift with an adjusted odds ratio (95% CI) of 1.946 (1.344, 2.871). In conclusion, compared with other shift patterns, backward shiftwork was the most significant factor associated with poor sleep quality and should be avoided.

"Sleep Quality and Depression Level in Nurses in COVID-19 Pandemic".

The COVID-19 spread rapidly all over the world and pandemic process has negatively affected nurses. Sleep disorders and depression are among these negative effects. Managers' awareness of problems experienced by nurses and taking precautions will increase employee and patient satisfaction and provide quality patient care. The study was conducted in descriptive, cross-sectional and correlational design to explain nurses' sleep quality and depression levels and relationship between them during the COVID-19 pandemic with 142 nurses who completed Personel Information Form, Pittsburgh Sleep Quality Index (PSQI) and Beck Depression Index (BDI). Sleep quality of nurses (64.8%) was poor, 33.1% had depression, and high school education, having a chronic illness and PSQI score increased the risk of depression level of nurses. Results highlight COVID-19 pandemic affected nurses’ sleep quality and depression levels. All managers should be pioneers in providing psychological support to nurses and preparing and implementing a program for prevention of insomnia and depression.

Relationship Between Stress Level and Sleep Quality of Nurses in Jakarta During the COVID-19 Pandemic

Coronavirus disease (Covid-19) is an infectious disease known as a severe acute respiratory syndrome. The first case of Covid-19 was identified in Wuhan, China on December 31, 2019. Health workers around the world are at the forefront of handling the COVID-19 pandemic. One of the health workers who is very important in handling COVID-19 cases is a nurse. The considerable increase of Covid-19 cases makes nurses have a heavier workload, struggle, and reduced rest periods. Heavy workloads and reduced rest periods can generally increase fatigue and affect sleep quality and stress levels which negatively impact work balance. This study's objective was to determine whether there was a relationship between the stress level and the quality of sleep of nurses in Jakarta during the Covid-19 pandemic. This study used 75 samples of nurses who were actively working during the Covid-19 pandemic in Jakarta, female, and aged 20-40 years. The sampling technique was snowball sampling. Data collection was through a questionnaire distributed via a Google form. The questionnaire included questions about the characteristics of the respondents, the Perceived Stress Scale (PSS-10), and the Pittsburgh Sleep Quality Index (PSQI). The study showed that there was a relationship between stress levels and the sleep quality of nurses in Jakarta during the Covid-19 pandemic.

NURSES’ SLEEP QUALITY AND QUALITY OF LIFE DURING THE COVID-19 PANDEMIC: ANALYSIS OF CORRELATION AND DIFFERENCES IN THE RAJAWALI ISOLATION AND NON-ISOLATION WARDS

Background: Nurses are one of the first-line fighters who treat Coronavirus disease 2019 (COVID-19) patients. They are prone to stress, anxiety, and sleep disturbances that can interfere with nurses providing medical services. Although some clinical research has established sleep quality and quality of life, the comparisons of sleep quality, quality of life, and each domain of quality of life for nurses who work in isolation and non-isolation wards is not well knownObjective: This study examines the correlation between sleep quality and quality of life amongst Dr. Kariadi General Hospital nurses during the COVID-19 pandemic.Methods: This quantitative study uses a cross-sectional approach. 51 nurses who worked in the Rajawali rooms in the isolation and non-isolation wards for COVID-19 at Dr. Kariadi Semarang were included by the consecutive sampling method. The instrument used are the sociodemographic questionnaire, The PSQI, and The WHOQOL-BREF Indonesian versions. Bivariate analysis was analyzed using the Spearman testResults: There was a correlation between sleep quality and the quality of life of nurses (p=0.020,r= -0.325). There was a difference between the sleep quality of nurses who work in isolation and non-isolation wards (p=0.03). There was no difference between the quality of life of nurses who work in isolation and non-isolation wards (p = 0.698).Conclusion: There is significant correlation between nurses’ sleep quality and their quality of life. There’s bad quality of life for nurses who worked inward isolation so further examination and periodic screening are needed to optimize their care.

The Impact of an Online Mindfulness-Based Stress Reduction Program on Sleep Quality of Nurses Working in COVID-19 Care Units: A Clinical Trial.

The coronavirus disease-2019 (COVID-19) epidemic is associated with impaired sleep quality in nurses for several reasons. The present study aimed to determine the effect of an online mindfulness-based stress reduction (MBSR) program on improving the sleep quality of nurses working in the COVID-19 care units. In this randomized controlled clinical trial study, all nurses in the 2 COVID-19 patient care units were randomly assigned to the control and intervention groups. The MBSR program was implemented online for 7 weeks for the intervention group by a trainer. The Pittsburgh Sleep Quality Index (PSQI) was completed online by the participants in both groups before and after the intervention. The results of the data analysis indicated that the intervention improved the scores of subjective sleep quality, sleep latency, and sleep efficiency in the intervention group. In the control group, there was a significant increase in the scores of subjective sleep quality, daily performance, and the total index score in the posttest. Besides, there was a significant difference between the 2 groups in only 2 components of sleep latency and subjective sleep quality. The MBSR program can be an effective intervention to improve the sleep quality of nurses working in COVID-19 intensive care units who are at risk of sleep quality disorders in stressful situations.

Poor Sleep Quality in Nurses Working or Having Worked Night Shifts: A Cross-Sectional Study.

Night shifts are part of clinical care. It is unclear whether poor sleep quality of nurses working both consecutive night shifts and day shifts after quitting night shifts is common. In this cross-sectional study, Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality as study outcome. Univariable and multivariable linear and logistic regressions were performed to compare PSQI score and prevalence of poor sleep quality between 512 nurses currently working consecutive night shifts and 174 nurses having worked night shifts in the past. The prevalence of poor sleep quality was 62.11% in nurses working consecutive night shifts and 55.75% in nurses having worked night shifts before. In multivariable regressions with adjustment for potential confounders, compared with nurses working consecutive night shifts, nurses having worked past night shifts reported decreased PSQI score [mean difference: −0.82 (95% CI: −1.27 to −0.38, p < 0.001)] and lower poor sleep quality [odds ratio (OR): 0.49 (95% CI: 0.29 to 0.80, p = 0.005)]. In nurses working consecutive night shifts, a rising curve that plateaued at the end was observed between years of consecutive night shifts and PSQI score, p = 0.004. To explore the change in PSQI score after quitting night shift, we constructed a hypothetical prospective cohort from the cross-sectional data. Here, 98 pairs of nurses with consecutive and past night shifts were matched for the number of night shift years, religion, marital status, living condition, hypertension, and hyperlipidemia. In each pair, a hypothetical change in PSQI score was calculated between the two types of nurses and hypothetical years after quitting night shifts was obtained from the matched nurse with past night shifts. A U-shaped curve between change in PSQI and years after quitting night shifts was observed, p = 0.007. The rising curve and U-shaped curve together formed an S-shaped curve, which mapped the change in sleep quality. These results based on the hypothetical cohort constructed from cross-sectional data suggested the presence of persistent poor sleep quality in night shift nurses. Also, we support early and continuous sleep hygiene education and reflection for an optimal strategy for when to cease working night shifts with regard to sleep-related problems.

Effect of Acupressure at ShenMen Acupoint on the Sleep Quality of Nurses in Emergency Departments and Intensive Care Units

Objective: Sleep disorders in nurses have a significant impact on their patient care quality. This study aims to evaluate the effect of acupressure at ShenMen acupoint (HT7) on the sleep quality of nurses in emergency departments and Intensive Care Units (ICUs). Methods: In this randomized clinical trial with pre-test-post-test design with control group, participants were 80 nurses working in emergency departments and ICUs of hospitals in Kashan, Iran. There were divided into two groups of intervention and control using the block randomization method after signing a written informed consent form. The intervention group underwent acupressure intervention at HT7 in both hands twice per day for 4 weeks. The control group did not receive any intervention. Data collection tools were a demographic form and Pittsburgh Sleep Quality Index (PSQI) questionnaire. Collected data were analyzed in SPSS software using descriptive statistics and independent t-test, Mann-Whitney U test, Chi-square test, and paired t-test, considering a significance level of 0.05. Results: Pre-test results showed no statistically significant difference in the Mean±SD score of PSQI between the two groups of intervention (6.94±1.96) and control (7.53±3.57) (P&gt;0.05), but the post-test results showed a significant increase in the mean score of PSQI in the intervention group (4.48±1.61) compared to the control group (6.83±2.81) (P&lt;0.001). Conclusion: Acupressure on ShenMen acupoint can increase the sleep quality of nurses; therefore, it is recommended for the management of their sleeps.

Burnout levels and sleep quality of COVID-19 heroes.

This study was carried out to determine the burnout levels and sleep quality of nurses in the coronavirus disease-2019 process. The population of this descriptive and cross-sectional study consisted of all nurses working in hospitals in Turkey. Nurses' mean scores were compared by gender. The emotional burnout and personal achievement scores of male nurses were higher than those of female nurses. Single nurses had significantly higher emotional exhaustion and depersonalization scores than married individuals. Nurses mostly experienced emotional exhaustion, and burnout levels increased in line with insomnia. Nurses struggling on the frontline during the pandemic were determined to be at risk of insomnia and burnout.