scholarly journals The relationship between shift work and sleep patterns in nurses

2013 ◽  
Vol 18 (3) ◽  
pp. 763-768 ◽  
Author(s):  
Milva Maria Figueiredo De Martino ◽  
Ana Cristina Basto Abreu ◽  
Manuel Fernando dos Santos Barbosa ◽  
João Eduardo Marques Teixeira

The scope of this study was to evaluate the sleep/wake cycle in shift work nurses, as well as their sleep quality and chronotype. The sleep/wake cycle was evaluated by keeping a sleep diary for a total of 60 nurses with a mean age of 31.76 years. The Horne & Östberg Questionnaire (1976) for the chronotype and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality were applied. The results revealed a predominance of indifferent chronotypes (65.0%), followed by moderately evening persons (18.3%), decidedly evening persons (8.3%), moderately morning persons (6.6%) and decidedly morning persons (1.8%). The sleep quality perception was analyzed by the visual analogical scale, showing a mean score of 5.85 points for nighttime sleep and 4.70 points for daytime sleep, which represented a statistically significant difference. The sleep/wake schedule was also statistically different when considering weekdays and weekends. The PSQI showed a mean of 7.0 points, characterizing poor sleep quality. The results showed poor sleep quality in shift work nurses, possibly due to the lack of sport and shift work habits.

2018 ◽  
Vol 25 (9) ◽  
pp. 1176-1186 ◽  
Author(s):  
Alexandro Andrade ◽  
Guilherme Torres Vilarino ◽  
Sofia Mendes Sieczkowska ◽  
Danilo Reis Coimbra ◽  
Guilherme Guimarães Bevilacqua ◽  
...  

This study investigated the relationship between sleep quality and fibromyalgia symptoms in 326 patients. The Pittsburgh Sleep Quality Index was used to assess the presence of sleep disorders. Multivariate analysis of variance was performed to determine the influence of fibromyalgia symptoms on sleep quality. The prevalence of sleep disorders was 92.9 percent. Patients reported generalized pain (88.3%), memory failure (78.5%), moodiness (59%), excessive anxiety (77.5%), and concentration difficulties (69.1%). Patients with more symptoms reported poor sleep quality ( p < .05; d = .74), and the total Pittsburgh Sleep Quality Index score correlated with the number of symptoms ( p < .01). Sleep quality has an important association with fibromyalgia symptoms.


2017 ◽  
Vol 28 (3) ◽  
pp. 356-373 ◽  
Author(s):  
Masomeh Norozi Firoz ◽  
Vida Shafipour ◽  
Hedayat Jafari ◽  
Seyed Hamzeh Hosseini ◽  
Jamshid Yazdani - Charati

This descriptive correlational study was aimed at determining the relationship of hemodialysis shift with sleep quality and depression in 310 hemodialysis patients. Demographic and Clinical Questionnaires, the Pittsburgh sleep quality index, and Beck’s Depression Inventory were used to ascertain the aforementioned relationship. Among the patients, 59.6% reported poor sleep quality and 44.8% reported experiencing depression. Results show that these conditions were significantly related to many factors. Although dialysis shift was not significantly related to sleep quality and depression, sleep quality was found significantly associated with age, female gender, illiteracy, unemployment, residence in rural areas, diabetes, addiction to sedatives, and phosphorus levels. A significant relationship was also found between depression and phosphorus levels. Logistic regression predicted age, gender, illiteracy, unemployment, residence in rural areas, and addiction to sedatives as factors for poor sleep quality. A body mass index (BMI) above 30, decreased urea, and increased phosphorus were predicted as factors for increased depression.


2016 ◽  
Vol 2 ◽  
pp. 205521731668277 ◽  
Author(s):  
Mayis Aldughmi ◽  
Jessie Huisinga ◽  
Sharon G Lynch ◽  
Catherine F Siengsukon

Background Perceived fatigue and fatigability are constructs of multiple sclerosis (MS)-related fatigue. Sleep disturbances lead to poor sleep quality, which has been found to be associated with perceived fatigue in people with MS (PwMS). However, the relationship between fatigability and sleep quality is unknown. Objective To explore the relationship between physical and cognitive fatigability with self-reported and objective measures of sleep quality in PwMS. Methods Fifty-one ambulatory PwMS participated in the study. Physical fatigability was measured by percent-change in meters walked on the six-minute walk test (6MWT) and in force exerted on a repeated maximal hand grip test. Cognitive fatigability was measured using response speed variability on the continuous performance test. Self-report sleep quality was measured using the Pittsburgh Sleep Quality Index, and objective sleep quality was measured using 1 week of actigraphy. Results Components of the Pittsburgh Sleep Quality Index and several actigraph parameters were significantly associated with physical fatigability and cognitive fatigability. However, controlling for depression eliminated the association between the sleep outcomes and cognitive fatigability and attenuated the association between the sleep outcomes and physical fatigability. Conclusion Poor sleep quality is related to fatigability in MS but depression appears to mediate these relationships.


2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Adlina Afifah ◽  
Ismawati Ismawati ◽  
Siska Nia Irasanti

Sif kerja merupakan hal yang umum di antara para pekerja. Sistem sif yang tidak teratur dan berkepanjangan dapat memengaruhi kesehatan pekerja dan produktivitasnya. Secara khusus, sif kerja dikenal sebagai hazard di tempat kerja karena dapat memengaruhi kualitas tidur pekerja. Kualitas tidur yang buruk akan berdampak buruk juga pada kesehatan dan keselamatan pekerja. Penelitian ini bertujuan menganalisis hubungan sif kerja dengan kualitas tidur pada pekerja di perusahaan Fast Moving Consumer Goods Karawang. Penelitian ini bersifat analitik dengan studi cross sectional pada 57 pekerja dengan menggunakan kuesioner Pittsburgh Sleep Quality Index (PSQI). Data diambil dengan menggunakan teknik purposive sampling pada pekerja di perusahaan FMCG Karawang tahun 2020. Data yang didapat dilakukan uji statistika dengan menggunakan uji Chi Square. Hasil penelitian menunjukkan kualitas tidur baik sebagian besar terdapat pada pekerja dengan sif pagi sebanyak 7 orang dan kualitas tidur buruk sebagian besar terdapat pada pekerja dengan sif malam sebanyak 18 orang.  Hasil analisis didapatkan adanya hubungan antara sif kerja dan kualitas tidur pada pekerja di salah satu perusahaan FMCG Karawang (=0,023). Simpulan hasil penelitian menunjukkan terdapat hubungan antara sif kerja dan kualitas tidur. Correlation between Work Shift and Sleep Quality on Fast Moving Consumer Goods (FMCG) Company Workers in 2020Shift work is shared among workers. Irregular and prolonged shift systems can affect workers' health and productivity. In particular, shift work is known to be a workplace hazard. It may cause poor sleep quality, which can impact adversely on the health and safety of workers. This study aims to analyze the relationship between shift work and sleep quality in employees of the Fast Moving Consumer Goods Karawang companies. This study is an analytical study with a cross-sectional design on 57 workers through the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The data were taken using a purposive sampling technique on FMCG Karawang companies in 2020. The data obtained were carried out by statistical tests using the Chi-Square test. The research results show that good sleep quality is mostly found in workers with morning shifts as many as seven people, and poor sleep quality is mostly found in workers with night shifts as many as 18 people. The analysis results showed a relationship between shift work and sleep quality in workers at FMCG Karawang companies (p = 0.023). The research results' conclusions indicate a significant relationship between shift work and sleep quality.


Author(s):  
Osamu Itani ◽  
Yoshitaka Kaneita ◽  
Yuichiro Otsuka ◽  
Mikiko Tokiya ◽  
Maki Jike ◽  
...  

AbstractThis study aims to examine the relationship of sleep (sleep duration, sleep quality, and sleep rhythm) with presenteeism in workers while controlling for other confounding factors. A total of 2375 workers of six Japanese companies received self-administered questionnaires from June to November 2018. Information on sleep duration was used to evaluate sleep quantity, the Athens Insomnia Scale (AIS) was used to evaluate sleep quality, and workers’ engagement in shift work was used to determine their sleep rhythms. We used the World Health Organization Health and Work Performance Questionnaire to evaluate presenteeism. Information on lifestyle (exercise, smoking, etc.), sex, and age was also collected. We conducted a logistic regression analysis with high absolute/relative presenteeism as an objective variable, sleep duration, AIS, and shift work as dependent variables, and basic attributes and lifestyle factors as adjustment factors. Completed questionnaires were collected from 1992 workers (aged 18–79 years; 25.2% women; response rate: 83.9%). Logistic regression analysis showed that high absolute presenteeism was significantly associated with poor sleep quality (high AIS score; P < 0.001) but not with sleep duration (P = 0.326) and shift work (P = 0.177). High relative absenteeism was significantly associated with poor sleep quality (high AIS score; P = 0.001) but not with sleep duration (P = 0.461) or shift work (P = 0.245). We showed that poor sleep quality is significantly associated with a high level of presenteeism. This suggests focusing on improving sleep quality is important for reducing presenteeism among workers.


2021 ◽  
Author(s):  
Hadis Najafimehr ◽  
Hamid Soori ◽  
Narges Naghavi ◽  
Reyhaneh Sadat Jafarian Bahri ◽  
Mohammad Taghi Yasami

Sleep quality plays an important role in people's mental health. Until now, the comparison of factors affecting mental health among clinical and non-clinical workers has received less attention. This study aimed to investigate the relationship between sleep quality and mental health and factors affecting mental health in a large working population. The present study was derived from the first phase of a cohort study of Shahid Beheshti University of Medical Sciences staff in 2019. Participants included 2921 employees. Demographic variables and job characteristics, the Pittsburgh Sleep Quality Index (PSQI) and General Health Questionnaire28 (GHQ-28) were used for data collection. For finding factors affecting mental health, logistic regression was used. Clinical workers had lower mental health (P<0.001) and lower sleep quality (P=0.04) than others. The relationship between mental health and sleep quality was significant (P<0.001). The prevalence of poor sleep quality was 35.6% and for undesirable mental health was 27.8%. Marital status had a significant relationship with mental health (P=0.02). The chance of undesirable mental health decreased with age (OR: 0.98 (0.97, 0.99)). Women had twice undesirable mental health than men (OR: 1.99 (1.62, 2.50)). The odds of undesirable mental health in staff with poor sleep quality were about five times higher than others (OR: 4.80 (3.99, 5.76)). Sleep quality may be considered as a factor affecting mental health. Due to the importance of the issue, planning for the improvement of clinical workers' sleep quality seems to be necessary by health policymakers.


2020 ◽  
Vol 10 (9) ◽  
pp. 3282
Author(s):  
Angela Shin-Yu Lien ◽  
Yi-Der Jiang ◽  
Jia-Ling Tsai ◽  
Jawl-Shan Hwang ◽  
Wei-Chao Lin

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.


2021 ◽  
Vol 8 ◽  
Author(s):  
Yangyang Hui ◽  
Xiaoyu Wang ◽  
Zihan Yu ◽  
Hongjuan Feng ◽  
Chaoqun Li ◽  
...  

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 &gt;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 &lt; 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 &gt;65 years or with Child-Turcotte-Pugh class A/B (CTP-A/B) or the median model for end-stage liver disease (MELD) &lt;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.


2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Mutia Annisa ◽  
Dwi Nurviyandari Kusuma Wati

<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


2021 ◽  
pp. 074823372110331
Author(s):  
Rehab Shehata Abdelhady Shehata ◽  
Zeinab Ahmed Mohamed Nour ◽  
Amul Mohamed Abdelrahim Badr ◽  
Eman Mahmoud Khalifa

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.


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