Association Between Sleep Quality and Subjective Fatigue in Night-Shift Nurses with Good and Poor Sleep

2018 ◽  
Vol 2 (1) ◽  
pp. 63-69 ◽  
Author(s):  
Tomohisa Ichiba ◽  
Sofya Gorlova ◽  
Yoshinao Nagashima ◽  
Michiyo Aitake ◽  
Etsuro Hori ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Night Shift ◽  
Poor Sleep ◽  
Subjective Fatigue

Serotonin variations and sleep disorders among shift workers. A cross-sectional study

2021 ◽  
pp. 074823372110331
Author(s):  
Rehab Shehata Abdelhady Shehata ◽  
Zeinab Ahmed Mohamed Nour ◽  
Amul Mohamed Abdelrahim Badr ◽  
Eman Mahmoud Khalifa
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Serotonin Level ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Shift Workers ◽  
Blood Serotonin

Sleep disorders are prevalent occupational health problems among shift workers, especially healthcare workers with long shifts. Serotonin is a neurotransmitter related to circadian variations accompanied by shift work. A cross-sectional study was performed on 73 nurses at a tertiary hospital in Cairo, Egypt, to assess sleep quality among shift work nurses (SWNs), to determine blood serotonin level, and its relation to shift work and sleep quality. A demographic and occupational history questionnaire, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and measurement of blood serotonin were carried out to the studied group. The data were analyzed using SPSS 25, and descriptive statistics, unpaired t-test, ANOVA, Kruskal–Wallis Test, Chi-square, Spearman correlation, and multivariate regression analysis were utilized. The results showed that the mean PSQI global score was significantly higher among SWNs than non-shift work nurses (NSWNs) and was the highest (10.32 ± 3.56 and 10.22 ± 2.4, respectively) among rotatory and fixed night shift nurses. Blood serotonin showed highly significant differences between SWNs over NSWNs ( p = 0.001), and mostly reduced among rotatory and fixed night shift nurses (66.7% and 65%, respectively). Moreover, there were highly significant differences in serotonin levels between poor and good sleep quality nurses ( p < 0.001), and most of the poor sleep quality nurses (62.7%) had low serotonin levels. Abnormal serotonin level (odds = 246.5) and working years (odds = 1.2) were statistically significant predictors of poor sleep quality. In conclusion, SWNs, especially rotating and night shift nurses, suffer from poor sleep quality associated with abnormal levels of blood serotonin.

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

2021 ◽  
Vol 15 ◽  
Author(s):  
Qiao Huang ◽  
Chong Tian ◽  
Xian-Tao Zeng
Keyword(s):  
Sleep Quality ◽  
Clinical Care ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Consecutive Night ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Night Shifts

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 &lt; 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.

scholarly journals Association between anxiety and sleep quality in the General Surgery residents of Udayana University

2020 ◽  
Vol 1 (1) ◽  
pp. 5-8
Author(s):  
Ida Bagus Gede Wisnu Wardhana ◽  
Luh Nyoman Alit Aryani ◽  
I Gusti Ayu Endah Ardjana ◽  
Cokorda Bagus Jaya Lesmana ◽  
Wayan Westa ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Night Shift ◽  
Individual Performance ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Chi Square ◽  
Cross Sectional ◽  
Significance Level ◽  
Chi Square Test ◽  
Improve Sleep Quality

Background: Sleep quality not only affects physical health but also on individual performance. Anxiety is thought to associate with poor sleep quality. This study aims to determine the association between anxiety and sleep quality in surgery residents of Faculty of Medicine, Udayana University. Methods: The subjects of the study were 48 surgery residents of Faculty of Medicine of Udayana University. The study used a cross sectional analytical method. Measurement of anxiety using the Beck Anxiety Inventory (BAI) and sleep quality questionnaire using the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed descriptively and used the chi square test with significance level p <0.05. Results: The results showed that 33.3% of surgery residents of Faculty of Medicine of Udayana University had anxiety and most had poor sleep quality (87.5%). There is an association between anxiety and sleep quality in surgery residents of Faculty of Medicine of Udayana University with PR 3.0 (95% CI 0,9-9,1; p <0.005). Conclusion: This study shows that there is a significant relationship between anxiety and sleep quality where surgery residents of Faculty of Medicine of Udayana University with anxiety 3 times at risk of developing poor sleep quality than those without anxiety. Therefore it is necessary to manage anxiety as well as the arrangement of night shift to improve sleep quality.

scholarly journals Better Night’s Sleep and Subjective Cognition: The Role of Day and Night Work Shifts

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 425-425
Author(s):  
Britney Veal ◽  
Christina Mu ◽  
Soomi Lee
Keyword(s):  
Sleep Quality ◽  
Processing Speed ◽  
Cognitive Abilities ◽  
Multilevel Models ◽  
Night Shift ◽  
Poor Sleep ◽  
Previous Night ◽  
Mental Focus ◽  
Ecological Momentary

Abstract Previous research indicates poor sleep and cognitive functioning are associated. Studies have yet to consider the role of work shift on this relationship. The current study examined the sleep and subjective cognition relationship in nurses, and if this relationship differed for day- and night- shift nurses. Sixty-one nurses (M=35.39, SD=11.73; 39 day-, 22 night-shift) reported their nightly sleep characteristics and next-day subjective cognition (i.e., processing speed, memory, and mental focus) using ecological momentary assessments for 2 weeks. Multilevel models controlled for sociodemographic characteristics and decomposed the variance attributed by between- and within-person levels. At the within-person level, better sleep the previous night was associated with better subjective cognition the following day. This relationship was more apparent in night-shift nurses than in day-shift nurses, such that (a) longer sleep duration predicted better mental focus (B=1.62, p&lt;.05) and (b) higher sleep quality predicted better memory (B=8.67, p&lt;.001). At the between-person level, better sleep overall was associated with better subjective cognition across days. This association was more apparent in day-shift nurses than in night-shift nurses, such that (a) better sleep quality and sufficiency predicted faster processing speed (B=34.33; B=26.28; p&lt;.001) and (b) better sleep quality and greater sleep sufficiency predicted better memory (B=30.94; B=23.09; p&lt;.001). Findings suggest that sleep characteristics are associated with subjective cognition in nurses day-to-day and on average. Specific sleep characteristics associated with subjective cognition differ between day- and night-shift nurses, presumably due to differences in their sleep issues and perceived cognitive abilities.

scholarly journals SARS-CoV-2 infection in health care workers: a retrospective analysis and model study

2020 ◽  
Author(s):  
Yansen Bai ◽  
Xuan Wang ◽  
Qimin Huang ◽  
Han Wang ◽  
David Gurarie ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sleep Quality ◽  
Night Shift ◽  
Hospital Setting ◽  
Stress Index ◽  
Poor Sleep ◽  
Working Pressure ◽  
Model Study ◽  
Retrospective Data Collection ◽  
Fundamental Research

ABSTRACTBackgroundThere had been a preliminary occurrence of human-to-human transmissions between healthcare workers (HCWs), but risk factors in the susceptibility for COVID-19, and infection patterns among HCWs have largely remained unknown.MethodsRetrospective data collection on demographics, lifestyles, contact status with infected subjects for 118 HCWs (include 12 COVID-19 HCWs) from a single-center. Sleep quality and working pressure were evaluated by Pittsburgh Sleep Quality Index (PSQI) and The Nurse Stress Index (NSI), respectively. Follow-up duration was from Dec 25, 2019, to Feb 15, 2020. Risk factors and transmission models of COVID-19 among HCWs were analyzed and constructed.FindingsA high proportion of COVID-19 HCWs had engaged in night shift-work (75.0% vs. 40.6%) and felt they were working under pressure (66.7% vs. 32.1%) than uninfected HCWs. COVID-19 HCWs had higher total scores of PSQI and NSI than uninfected HCWs. Furthermore, these scores were both positively associated with COVID-19 risk. An individual-based model (IBM) estimated the outbreak duration among HCWs in a non-typical COVID-19 ward at 62-80 days and the basic reproduction number R0 =1.27 [1.06, 1.61]. By reducing the average contact rate per HCW by a 1.35 factor and susceptibility by a 1.40 factor, we can avoid an outbreak of the basic case among HCWs.InterpretationPoor sleep quality and high working pressure were positively associated with high risks of COVID-19. A novel IBM of COVID-19 transmission is suitable for simulating different outbreak patterns in a hospital setting.FundingFundamental Research Funds for the Central Universities

scholarly journals ANALISIS PENGARUH TINGKAT KEBISINGAN PADA STASIUN STERILIZER TERHADAP KUALITAS TIDUR OPERATOR

2020 ◽  
Vol 7 (2) ◽  
pp. 186-191
Author(s):  
Faradila Ananda Yul ◽  
Dedi Dermawan ◽  
Fira Putri Aldiyanti
Keyword(s):  
Sleep Quality ◽  
Palm Oil ◽  
Noise Level ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Night Shift ◽  
Palm Kernel ◽  
Sound Level ◽  
Poor Sleep ◽  
Cross Sectional

Palm Oil Mill PT. Surya Intisari Raya, Sei Lukut is a plantation company engaged in the commodity palm oil FFB (Fresh Fruit Bunches), with output in the form of CPO (Crude Palm Oil) and Palm Kernel (PK). There are 13 processing stations at PKS that have high noise levels, one of which is a sterilizer station which can disrupt operator psychology, namely Sleep Disturbance. In the field survey, it was found that operators experienced concentration problems such as drowsiness, and not all of them used ear protection in the form of earplugs/earmuffs. Therefore, it is necessary to identify the noise level at the sterilizer station and to analyze its effect on the operator's sleep quality using an observational analytic cross-sectional approach. Noise in the workplace was measured using a sound level meter and the sleep quality of workers was measured using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Based on the results of noise level measurements, 4 processes have noise above the Threshold Limit Value, namely Deaeration of 89.824 dB, Containment of 92.548 dB, Peak BlowDown by 2 of 96.45 dB, and Final of 102.77 dB. Based on the results of the Pittsburgh Sleep Quality Index (PSQI) questionnaire, 100% of Morning Shift and Night Shift workers have poor sleep quality. To overcome this problem, several suggestions were made, namely to carry out periodic health checks for operators, ensure that operators who are exposed to noise always wear an earplug/earmuff, and minimize exposure to noise above the NAB to operators by keeping noise points away from the operator's premises.

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

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