Journal articles: 'Night nurses'

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Deagle, Jennifer. "Good night nurses?" Nursing Standard 7, no. 50 (September 1993): 50–51. http://dx.doi.org/10.7748/ns.7.50.50.s57.

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Thompson, SimonB N. "Night nurses' paralysis." Lancet 346, no. 8978 (September 1995): 848. http://dx.doi.org/10.1016/s0140-6736(95)91667-9.

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Hubbard, Ladee. "The Night Nurses." Callaloo 39, no. 4 (2017): 775–78. http://dx.doi.org/10.1353/cal.2017.0011.

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Prasetya, Fikki, Amalya Febriyani Siji, and Al Asyary Al Asyary. "Fatigue Through Sleep Time On Night Service Nurses At Kendari City Hospital." Al-Sihah: The Public Health Science Journal 13, no. 1 (June 30, 2021): 61. http://dx.doi.org/10.24252/al-sihah.v13i1.21538.

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Sleep time is the sleep time needed by nurses as a fulfillment before doing the night shift and sleeping time during the night shift to optimize work productivity to minimize work fatigue. This study aims to determine the relationship between nurses' slept time before and during shifts, slept debt, and shift rotation with fatigue on night shift nurses in the Critical Room of the Kendari City General Hospital in 2020. An analytical survey was conducted with a cross-sectional study. The results showed that there was no relationship between sleep time before the night shift and work fatigue on the night watch nurse (p-value = 0.309), in contrast to sleep time during the night shift, it was found that there was a relationship with work fatigue on the night watch nurse (p-value = 0.003 ). It is recommended that hospital management make standard operating procedures that aim to regulate nurses' sleep time during the night shift to meet their needs and reduce fatigue levels.

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Fallis, Wendy M., Diana E. McMillan, and Marie P. Edwards. "Napping During Night Shift: Practices, Preferences, and Perceptions of Critical Care and Emergency Department Nurses." Critical Care Nurse 31, no. 2 (April 1, 2011): e1-e11. http://dx.doi.org/10.4037/ccn2011710.

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BackgroundNurses working night shifts are at risk for sleep deprivation, which threatens patient and nurse safety. Little nursing research has addressed napping, an effective strategy to improve performance, reduce fatigue, and increase vigilance.ObjectiveTo explore nurses’ perceptions, experiences, barriers, and safety issues related to napping/not napping during night shift.MethodsA convenience sample of critical care nurses working night shift were interviewed to explore demographics, work schedule and environment, and napping/ not napping experiences, perceptions, and barriers. Transcripts were constantly compared, and categories and themes were identified.ResultsParticipants were 13 critical care nurses with an average of 17 years’ experience. Ten nurses napped regularly; 2 avoided napping because of sleep inertia. The need for and benefits of napping or not during night shift break were linked to patient and nurse safety. Ability to nap was affected by the demands of patient care and safety, staffing needs, and organizational and environmental factors.ConclusionsNurses identified personal health, safety, and patient care issues supporting the need for a restorative nap during night shift. Barriers to napping exist within the organization/work environment.

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Niu, Shu-Fen, Hsin Chu, Min-Huey Chung, Chun-Chieh Lin, Yu-Shiun Chang, and Kuei-Ru Chou. "Sleep Quality in Nurses." Biological Research For Nursing 15, no. 3 (April 3, 2012): 273–79. http://dx.doi.org/10.1177/1099800412439459.

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The study investigated the number of days off nurses working night shifts need to recover their sleep quality to the level of daytime workers during their days off. This study included 30 day-shift nurses and 32 night-shift nurses. It was conducted as a randomized clinical trial in the medical and surgical wards of a medical center in northern Taiwan in May and June 2010 using sleep diaries and sleep parameters collected by actigraphy on different workdays and days off. On workdays, the night-shift group had significantly less total sleep time (TST) on Day 5 and significantly lower sleep efficiency (SE) on Day 3 than the day-shift group. TSTs of the two groups on days off were higher than those on workdays. On the 4th consecutive day off, higher TST, a decrease in WASO, and an increase in SE suggests that the night-shift group had recovered their sleep quality to the level of the day-shift group on their days off. The SE of the night-shift group exceeded that of the day-shift group after the 4th consecutive day off, though the difference was not statistically significant in the present study. Based on these data, it is recommended that night-shift workers arrange a period of at least 4 days off after 5 consecutive night shifts and at least 5 days off if the staff who have previously worked night shifts are being assigned a set of different shifts.

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Chang, Mei-Yu, Chin-Ho Tseng, and Ya-Ling Chiou. "The Plasma Concentration of Copper and Prevalence of Depression Were Positively Correlated in Shift Nurses." Biological Research For Nursing 16, no. 2 (March 3, 2013): 175–81. http://dx.doi.org/10.1177/1099800413479156.

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Several studies have reported the prevalence of depression in shift nurses to be 15%, and in some cases it may even be as high as 23%. Depression is a major cause of poor sleep quality and can impede efforts to overcome the chronic fatigue that commonly affects shift nurses. Adverse mental health issues have been confirmed in shift nurses, but few studies have investigated the underlying cause of poor mental health in different shift-nurse populations. Therefore, the aim of this study was to investigate the relationship of serum trace element levels to mental health and the tendency toward depression in shift nurses. We collected blood samples from 90 shift nurses (day, evening, and night shift) who worked in intensive care units and asked them to complete a general data questionnaire as well as the Chinese version of the Beck Depression Inventory, second edition. The night-shift nurses showed mild-to-moderate depression levels, which were significantly higher than those of the control group and other shift nurses. Night-shift nurses also had higher levels of plasma copper, ferritin, interleukin (IL)-6, and alanine aminotransferase ( p < .05) than the control group and other nurses. Elevated concentrations of ferritin and IL-6 are considered important markers for the onset of depression. The results of this study suggest that plasma copper concentrations in nurses should be monitored.

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., Ahsan, and Humaera Hafi D. "STRES KERJA SHIFT MALAM DAN KINERJA PERAWAT PELAKSANA DI RUANG RAWAT INAP." Jurnal Persatuan Perawat Nasional Indonesia (JPPNI) 1, no. 2 (March 5, 2017): 93. http://dx.doi.org/10.32419/jppni.v1i2.18.

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ABSTRAKTujuan penelitian: Tujuan penelitian ini ialah mengetahui adanya hubungan antara stres kerja shiftmalam dan kinerja perawat pelaksana di ruang rawat inap Rumah Sakit Wava Husada Kepanjen,Kabupaten Malang. Metode: Desain penelitian ini ialah penelitian korelasional dengan sampel30 perawat yang bekerja di ruang rawat inap RS Wava Husada tahun 2014, menggunakan teknikpurpose sampling. Hasil data dianalisis dengan uji statistik, yaitu Fisher probability exact test. Hasil:Sebagian besar perawat shift malam berada pada klasifi kasi stres ringan, yaitu 16 perawat atausebanyak 53,3 persen. Sebagian besar berada pada klasifi kasi baik (23 perawat atau sebanyak76,7 persen). Diskusi: Petugas kesehatan disarankan untuk mengetahui efek stres kerja terhadapkinerja perawat sebagai upaya untuk meningkatkan kinerja perawat. Simpulan: Ada hubunganantara stres kerja shift malam dan kinerja perawat pelaksana.Kata Kunci : kinerja, shift malam, stres kerja.ABSTRACTObjective: This study is aimed at identifying the correlation between stress due to night-shift workand nurse performance in providing nursing care at inpatient wards of Wava Husada Hospital,Kepanjen, Malang Regency. Methods: This study employed correlational design with a sample sizeof 30 nurses working at inpatient wards of Wava Husada Hospital in 2014 and taken using purposesampling. Data were analyzed with using Fisher probability exact test. Results: This study indicatedthat 16 nurses (53.3%) working the night-shift were low level of stress. Most of nurses (23 nurses or76.7%) were in the category of good. Discuss: It is recommended that healthcare workers knowthe effects of work-related stress on nurse performance in order to increase nurse performance.Conclusion: It can be concluded that there is a correlation between stress due to night-shift workand nurse performance.Keywords: performance, night-shift, work-related stress.

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Gómez-Salgado, Juan, Javier Fagundo-Rivera, Mónica Ortega-Moreno, Regina Allande-Cussó, Diego Ayuso-Murillo, and Carlos Ruiz-Frutos. "Night Work and Breast Cancer Risk in Nurses: Multifactorial Risk Analysis." Cancers 13, no. 6 (March 23, 2021): 1470. http://dx.doi.org/10.3390/cancers13061470.

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Night work has been highlighted by the International Agency for Research on Cancer (IARC) as a likely carcinogenic factor for humans, associated with breast cancer and professions that require continuity of work. Knowing the impact that short and long-term night work has on the nurses’ collective seems a priority, therefore, this study aims to analyse the relationship between night work and the development of breast cancer risk factors in nurses. For this, a cross-sectional study through an online questionnaire on breast cancer risk variables and working life was designed. The study was conducted in Spain and the sample consisted of 966 nurses, of whom 502 were healthy participants and 56 were breast cancer patients. These two groups were compared in the analyses. A descriptive analysis was performed, and the relationship was tested using χ2 independence test and OR calculation. The CHAID (Chi Square Automatic Interaction Detection) data mining method allowed for the creation of a segmentation tree for the main risk variables. The most significant risk variables related to working life have been the number of years worked, nights worked throughout life, and years working more than 3 nights per month. Exceeding 16 years of work has been significant for women and men. When the time worked is less than 16 years, the number of cases increases if there is a family history of cancer and if there have been more than 500 nights of work. High-intensity night work seems more harmful at an early age. The accumulation of years and nights worked increase the risk of breast cancer when factors such as sleep disturbance, physical stress, or family responsibilities come together.

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Gooding, Lucy. "New roles for nurses at night." Nursing Standard 23, no. 44 (July 7, 2009): 62–63. http://dx.doi.org/10.7748/ns2009.07.23.44.62.p4258.

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Gooding, Lucy. "New roles for nurses at night." Nursing Standard 23, no. 44 (July 7, 2009): 62–63. http://dx.doi.org/10.7748/ns.23.44.62.s56.

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Aldridge, Leslie. "Night nurses also face difficult conditions." Nursing Standard 14, no. 27 (March 22, 2000): 28. http://dx.doi.org/10.7748/ns.14.27.28.s46.

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Duxbury, Joy. "Night nurses: Why are they undervalued?" Nursing Standard 9, no. 11 (December 7, 1994): 33–36. http://dx.doi.org/10.7748/ns.9.11.33.s43.

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Mayes, Pamela, and Darlene Schott-Baer. "Professional Development for Night Shift Nurses." Journal of Continuing Education in Nursing 41, no. 1 (January 1, 2010): 17–22. http://dx.doi.org/10.3928/00220124-20091222-05.

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Smith, Alec, Farzan Sasangohar, Anthony D. McDonald, Nena Bonuel, Holly Shui, Christine Ouko, and Lorelie Lazaro. "Drowsy Driving Among Shift Work Nurses: A Qualitative Data Analysis." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 8, no. 1 (September 2019): 167–71. http://dx.doi.org/10.1177/2327857919081041.

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Drowsy driving claims many lives every year. While all drivers are susceptible to the problem of drowsy driving, the nurse population is of particular concern. Studies have shown the severity of drowsiness for night shift nurses both at work and on the drive home. Many work and non-work factors contribute to the drowsiness that nurses experience. This study used a semi-structured interview approach to gain the perception and experiences of nurses concerning drowsy driving and possible interventions. Interviews were conducted at a large hospital in south central Texas with 30 night shift nurses. Visualizations depicting nurses’ responses are presented to aid in the understanding of the themes derived from the interviews. The nurses experience drowsy driving on a regular basis, use ineffective mitigation techniques and have differing preferences for an educational and technological intervention for drowsy driving. An emergent theme was how work and non-work factors work in conjunction to impact the nurses’ experiences of drowsy driving. Potential, implementable solutions regarding some of these factors are presented.

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Oțelea, Marina Ruxandra, Anca Streinu-Cercel, Daniela Manolache, Andreea Mutu, Lavinia Călugăreanu, Dana Mateș, and Oana Săndulescu. "The “ECG modifications induced by the disturbance of the circadian rhythm in night-shift workers (ECGNoct)” study protocol." Romanian Journal of Occupational Medicine 70, no. 1 (December 1, 2019): 12–19. http://dx.doi.org/10.2478/rjom-2019-0002.

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Abstract In many large cohort studies, the night shift constitutes a risk factor for developing cardiovascular disease and diabetes in workers. Current screening tests for people working in night shift include fasting glycaemia and electrocardiography. In fact, there are few studies focused on the description of the electrocardiographic changes after the night shift. This article describes the protocol of the “ECG modifications induced by the disturbance of the circadian rhythm in night-shift workers (ECGNoct)” study, which was initiated by the National Institute for Infectious Diseases “Prof. Dr. Matei Balș”. Nurses represent the target population. The protocol includes a full medical and occupational history, lifestyle habits (smoking, alcohol, nutrition), anthropometric and blood pressure measurements, blood tests (fasting glycemia, total cholesterol, triglycerides and high density lipoprotein cholesterol) and electrocardiogram recording. For nurses working in (night) shifts, we will record the electrocardiogram before and soon after the night shift. A cross sectional study will analyze the incidence of the metabolic syndrome criteria, the cardio-metabolic diseases and the electrocardiographic modifications and will compare the results between the group of nurses working and the group of nurse who do not. Based on these results, a longitudinal study will test the hypothesis that night shift increases the risk for cardio-metabolic diseases and that the electrocardiographic modifications precede the clinical symptoms. The results of the study will provide data on the association of night shifts and other non-occupational risk factors with the cardio-metabolic diseases in this specific population of healthcare workers that potentially will integrate into the occupational medicine policies.

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Ielapi, Nicola, Michele Andreucci, Umberto Marcello Bracale, Davide Costa, Egidio Bevacqua, Andrea Bitonti, Sabrina Mellace, et al. "Insomnia Prevalence among Italian Night-Shift Nurses." Nursing Reports 11, no. 3 (July 12, 2021): 530–35. http://dx.doi.org/10.3390/nursrep11030050.

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Background. Insomnia is one of the major health problems related with a decrease in quality of life (QOL) and also in poor functioning in night-shift nurses, that also may negatively affect patients’ care. The aim of this study is to evaluate the prevalence of insomnia in night shift nurses. This observational online web-based survey using Google®® modules specifically aimed to investigate the prevalence and risk factors for insomnia among Italian nurses. Methods. Data collection for this study lasted one month, with the questionnaire available from 1 March 2021 to 1 April 2021. Continuous variables were considered as either mean ± standard deviation (SD) or median and interquartile range (IQR) based on their distribution. Comparison among insomnia categories was assessed by one-way ANOVA or Kruskal–Wallis test according to variable distribution. Categorical variables were analyzed using chi-square test. Results. A total of 2355 responses were included in the final analysis, with 917 from the Northern zone, 815 from the Western zone, and 623 from the Southern zone of Italy. The prevalence of insomnia in the overall population was 65.4% (1524 out 2355 nurses suffered from insomnia). Conclusions. Nursing is a high-pressure profession, with heavy duties and high professional risks. We found an important prevalence of insomnia in night shift nurses, and we hope it may help to solicit further studies aimed to identify the risk factors for this working disorder among nurses.

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Flanagan, Alan, Elizabeth Lowson, Sara Arber, Bruce A. Griffin, and Debra J. Skene. "Dietary Patterns of Nurses on Rotational Shifts Are Marked by Redistribution of Energy into the Nightshift." Nutrients 12, no. 4 (April 10, 2020): 1053. http://dx.doi.org/10.3390/nu12041053.

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Nightshift work is associated with adverse health outcomes, which may be related to eating during the biological night, when circadian rhythms and food intake are misaligned. Nurses often undertake nightshift work, and we aimed to investigate patterns of energy distribution and dietary intake across 14 days in 20 UK National Health Service (NHS) nurses working rotational shifts. We hypothesised that the proportion of daily energy consumed during the nightshift would increase over consecutive nights. Primary and secondary outcome measures included intakes of energy and macronutrients. Our results show that nurses consumed the same total daily energy on nightshifts and non-nightshifts, but redistributed energy to the nightshift period in increasing proportions with a significant difference between Night 1 and 2 in the proportion of total daily energy consumed (26.0 ± 15.7% vs. 33.5 ± 20.2%, mean ± SD; p < 0.01). This finding indicates that, rather than increasing total energy intake, nurses redistribute energy consumed during nightshifts as a behavioural response to consecutive nightshifts. This finding informs our understanding of how the intake of energy during the biological night can influence adverse health outcomes of nightshift work.

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Bueno, José Lino Oliveira, Milva Maria Figueiredo De Martino, and Taíza Helena Figueiredo. "Present Mood States in Brazilian Night Nurses." Psychological Reports 93, no. 2 (October 2003): 353–57. http://dx.doi.org/10.2466/pr0.2003.93.2.353.

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Variations in the state of momentary emotions of Brazilian hospital nurses on day and night shifts were recorded. Ten graduate nurses working on day and night shifts in the clinical ward of hospitals completed the Present Mood States List of Engelmann at the beginning and end of the first and last days of each shift. Analysis indicated (a) nurses had a stable emotional profile, present at the working shift, and (b) variations in present mood states related to specific effects of shift work were observed when comparisons were made between the present mood states at the beginning and end of each shift duty.

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Dimick, JB, SM Swoboda, PJ Pronovost, and PA Lipsett. "Effect of nurse-to-patient ratio in the intensive care unit on pulmonary complications and resource use after hepatectomy." American Journal of Critical Care 10, no. 6 (November 1, 2001): 376–82. http://dx.doi.org/10.4037/ajcc2001.10.6.376.

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BACKGROUND: Nurse-to-patient ratios in the intensive care unit are associated with postoperative mortality, morbidity, and costs after some high-risk surgery. OBJECTIVE: To determine if having 1 nurse caring for 1 or 2 patients ("more nurses") versus 1 nurse caring for 3 or more patients ("fewer nurses") in the intensive care unit at night is associated with differences in clinical and economic outcomes after hepatectomy. METHODS: Statewide observational cohort study of 569 adults who had hepatic resection, 1994 to 1998. Hospital discharge data were linked to a prospective survey of organizational characteristics in the intensive care unit. Multivariate analysis was used to determine the association of nighttime nurse-to-patient ratios with in-hospital mortality, length of stay, hospital costs, and specific postoperative complications. RESULTS: A total of 240 patients at 25 hospitals had fewer nurses; 316 patients in 8 hospitals had more nurses. No significant association between nighttime nurse-to-patient ratios and in-hospital mortality was detected. The overall complication rate was 28%. By univariate analysis, patients with fewer nurses had increased risks for pulmonary failure (5.8% vs 1.6%, relative risk, 3.6; 95% CI, 1.3-10.1; P=.006) and reintubation (10.8% vs 1.9%, relative risk, 5.7; 95% CI, 2.4-13.7; P<.001). By multivariate analysis, patients with fewer nurses had increased risk for reintubation (odds ratio, 2.9; 95% CI, 1.0-8.1; P=.04) and a 14% increase (95% CI, 3%-23%; P=.007) or an additional $1248 (95% CI, $384-$2112; P = .005) in total hospital costs. CONCLUSIONS: Fewer nurses at night is associated with increased risk for specific postoperative pulmonary complications and with increased resource use in patients undergoing hepatectomy.

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Lasebikan, Victor Olufolahan, and Modupe Olusola Oyetunde. "Burnout among Nurses in a Nigerian General Hospital: Prevalence and Associated Factors." ISRN Nursing 2012 (April 29, 2012): 1–6. http://dx.doi.org/10.5402/2012/402157.

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Objective. To evaluate the prevalence and associated factors of burnout among nurses in a Nigerian general hospital. Methods. A total sampling method was utilized. Measurements. Burnout was evaluated using the Maslach Burnout Inventory; GHQ-12 was used to determine the presence of psychiatric morbidity. Results. A high level of burnout was identified in 39.1% of the respondents in the area of emotional exhaustion (EE), 29.2% in the area of depersonalization and 40.0% in the area of reduced personal accomplishment. Multivariate analysis showed that doctor/nurse conflict (OR = 3.1, 95% CI: 1.9−6.3), inadequate nursing personnel (OR = 2.6, 95% CI: 1.5–5.1), and too frequent night duties (OR = 3.1, 95% CI: 1.7–5.6) were predictors of burnout in the area of EE, doctor/nurse conflict (OR = 3.4, 95% CI: 2.2–7.6) and too frequent night duties (OR = 2.4, 95% CI 1.5–4.8) in the area of D, high nursing hierarchy (OR = 2.7, 95% CI: 1.5–4.8), poor wages (OR = 2.9, 95% CI: 1.6–5,6), and too frequent night duties (OR = 2.3, 95% CI: 2.3–4.5) in the area of RPA. Conclusions. Prevalence of burnout among these nurses was high. The government therefore needs to look into factors that will enhance nurses’ recruitment and retention for effective health care delivery system.

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Vangelova, K., I. Dimitrova, I. Cekova, and R. Stoyanova. "Shift Work and Occupational Stress in Hospital Nurses in Sofia." Acta Medica Bulgarica 48, no. 1 (April 1, 2021): 81–87. http://dx.doi.org/10.2478/amb-2021-0013.

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Abstract Prevalence of shift work and occupational stress is one of the highest in nursing compared to other sectors. For years Bulgaria is facing nurses’ shortage, which contributes to their long working hours. The aim of the study was to follow the working time arrangements, stressors and health symptoms in hospital nurses in Sofia. Methods: The study is cross-sectional and comprised 1292 female nurses of average age 50.0 ± 10.2 years from 19 hospitals in Sofia. The anonymous questionnaire was filled, including demographic information, working hours and shift system, with special attention to night work and long working hours, stress and health symptoms. Statistical analysis was carried using SPSS. Results: The shift work, night work, including 5 and more night shifts per month and the extended shifts were common among the studied nurses with the greatest deal of the emergency and intensive care unit nurses, followed by department nurses. The high rates of overtime and second job contributed to long working hours of 51-60 hours per week in 16.9 % of the nurses and > 61 hours in 11.1 %. About 90 % of the nurses felt under strain and experienced emotional dissonance while working with patients. Work-related stress, night work and long working hours were related to self-rated emotional and physical exhaustion and poor health. Discussion: The work-related stress, night work and the long working hours raise health concerns for occupational health of hospital nurses. Urgent preventive measures are needed to control stress and reduce working hours and night work.

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Han, Kihye, Heejeong Hwang, Eunyoung Lim, Mirang Jung, Jihye Lee, Eunyoung Lim, Sunhee Lee, Yeon-Hee Kim, Smi Choi-Kwon, and Hyang Baek. "Scheduled Naps Improve Drowsiness and Quality of Nursing Care among 12-Hour Shift Nurses." International Journal of Environmental Research and Public Health 18, no. 3 (January 20, 2021): 891. http://dx.doi.org/10.3390/ijerph18030891.

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Scheduled naps in the workplace are an effective countermeasure to drowsiness in safety-sensitive industries. This quasi-experimental study with a one-group, pre- and post-test design aimed to examine the effects of scheduled naps on nurses working 12-h shifts. Nurses in two pediatric intensive care units at a tertiary hospital were provided 30-min scheduled nap opportunities during their shifts. A total of 38 nurses completed pre- and post-test work diaries for sleepiness, fatigue, work demands and pace, and quality of nursing care at the end of each shift. The drowsiness of 13 nurses was continuously assessed during their shifts using infrared reflectance oculography. Nurses who reached naps reported improved levels of fatigue on the first night shift and better quality of nursing care the second night and day shifts post-test, while nurses who did not reach naps showed no significant improvements. The oculography successfully assessed drowsiness during 73% and 61% of the pre- and post-test total work hours, respectively. The total cautionary and cautionary or higher levels of drowsiness decreased. Nurse managers should consider scheduled naps in clinical settings to improve nurses’ alertness during their shifts.

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Margretta, Margaret, Matthew Dennis, and Diane C. McLaughlin. "Coffee Talk: A Jolt for Night Shift Education." American Journal of Critical Care 28, no. 1 (January 1, 2019): 81–84. http://dx.doi.org/10.4037/ajcc2019709.

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Background Education opportunities for night shift nurses are limited compared with those for their day-shift counterparts. However, patients remain critically ill regardless of shift and require intensive nursing care at all hours. Overnight, this care is often provided with fewer resources. These challenges can lead to disengagement and high turnover on the night shift. Objectives To see whether initiation of an informal education series called “Coffee Talk” could improve accessibility to learning for night shift nurses and elevate perception of support from administrators and overall job satisfaction. Methods The lecture series was created to facilitate education for night shift nurses. The program features various speakers within the interdisciplinary team discussing topics chosen by the nursing staff. The talks are presented in an informal setting during overnight hours. An electronic survey tool was used to determine nurses’ opinions regarding Coffee Talk, using a retrospective pretest and posttest format. Questions centered on the type of educational offerings, relevance to practice, perceived leadership support, convenience of attendance, and overall job satisfaction. Results More than half of the nurses (59%) responded. All scores improved from before to after the intervention. The largest increases occurred in convenience of educational offerings and nurses’ perception of leaders removing barriers to learning. Overall job satisfaction increased from 83% to 93%. Conclusions The introduction of an informal educational series improved nurses’ access to education and nurses’ feelings of support from administrators and overall job satisfaction.

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BUENO, JOSE LINO OLTVEffiA. "PRESENT MOOD STATES IN BRAZILIAN NIGHT NURSES." Psychological Reports 93, no. 6 (2003): 353. http://dx.doi.org/10.2466/pr0.93.6.353-357.

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MOEN, Bente E., Valborg BASTE, Tone MORKEN, Kjersti ALSAKER, Ståle PALLESEN, and Bjørn BJORVATN. "Menstrual characteristics and night work among nurses." Industrial Health 53, no. 4 (2015): 354–60. http://dx.doi.org/10.2486/indhealth.2014-0214.

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Veal, Britney, Christina Mu, and Soomi Lee. "Better Night’s Sleep and Subjective Cognition: The Role of Day and Night Work Shifts." Innovation in Aging 4, Supplement_1 (December 1, 2020): 425. http://dx.doi.org/10.1093/geroni/igaa057.1372.

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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<.05) and (b) higher sleep quality predicted better memory (B=8.67, p<.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<.001) and (b) better sleep quality and greater sleep sufficiency predicted better memory (B=30.94; B=23.09; p<.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.

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Gustavsson, Per, Carolina Bigert, Theo Bodin, Jenny Selander, Mikko Härmä, Annika Lindahl-Norberg, Tomas Andersson, Annika Gustavsson, and Maria Albin. "O4E.3 Utility of routinely recorded data on working hours for an epidemiological cohort study of 60,000 swedish health care employees." Occupational and Environmental Medicine 76, Suppl 1 (April 2019): A40.1—A40. http://dx.doi.org/10.1136/oem-2019-epi.108.

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Night and shift work is common in industry and service that must be functional 24 hour. Night work disrupts the circadian rhythm, and is potentially linked to an excess of cancer (especially breast cancer), cardiovascular disease, pregnancy complications, as well as to psychical effects. Large studies with detailed and objectively collected data on working hours are needed to confirm causal associations and develop practical advice on how shift schedules should be planned in order to minimize negative health effects.Stockholm County Council employs a high number of health care workers of which many are working in shifts. We have formed a cohort of those employed from 2008 to 2016, 45 000 women and 15 000 men. The computerized employment register holds individual records on working hours day by day in retrospect since 2008, and information on night work since year 2000. Information on cancer incidence, hospital discharge diagnoses of cardiovascular disease, pregnancy outcome, and causes of sick-leave have been obtained from national central registers.There were typically three work shifts: morning shifts (07–15), afternoon shifts (14–21), and night shifts (21–07). Non shift-workers typically worked (08–17). So far, we have investigated work shift patterns for those with a high percentage of night work: nurses, assistant nurses and midwives. Among these, 22% worked at least one night per month, and 15% worked at least 5 nights per month in 2009, which increased slightly to 23% and 16% respectively in 2016. It was common to work several nights in a row: in 2009 13.8% worked at least 3 consecutive nights or more per month, which increased to 15.5% in 2016. Only 0.6% worked 5 consecutive nights or more per month.Analyses of cancer, pregnancy outcome, cardiovascular disease and psychical outcomes are planned for 2019.

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Ruggiero, Jeanne S., Nancy S. Redeker, Nancy Fiedler, Tamara Avi-Itzhak, and Natalie Fischetti. "Sleep and Psychomotor Vigilance in Female Shiftworkers." Biological Research For Nursing 14, no. 3 (June 27, 2011): 225–35. http://dx.doi.org/10.1177/1099800411408413.

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The purpose of this study was to evaluate the relationships between sleep and psychomotor vigilance in female nurses and the changes in these variables over time. Participants comprised 16 staff registered nurses (10 day, 6 night; aged 30–65 years [ M = 47.6; SD = 8.1]) who wore wrist actigraphs continuously and completed a 10-min psychomotor vigilance test (PVT-192, Ambulatory Monitoring, Inc., Ardsley, New York) and the Stanford Sleepiness Scale (SSS) in their homes before and after work for three consecutive 24-hr periods. Repeated measures ANOVA revealed that night nurses slept significantly less than day nurses, F(1, 15) = 26.06, p ≤ .001; M = 227.88 ± 37.03 min versus M = 365.75 ± 59.01 min, respectively, daily for three consecutive days. Night nurses napped more frequently and had more changes in the length of their main sleep periods than day nurses. Day nurses reported more wake episodes during main sleep periods. Night nurses were sleepier after work than day nurses; both groups had increased sleepiness after work for the first 2 days and similar psychomotor vigilance test results. These findings suggest that sleep deprivation, irregular sleep patterns, and sleepiness are significant issues for shiftworking nurses. Future study of the characteristics of sleep and sleepiness in a larger sample would be useful to evaluate the focus for interventions to improve sleep and alertness in shiftworking nurses.

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Rhodes, Gina, Joshua Bernstein, and Ruth Grendell. "Nurses' drowsy driving prevention strategies: A qualitative exploratory multiple-case study." Journal of Nursing Education and Practice 9, no. 6 (March 11, 2019): 73. http://dx.doi.org/10.5430/jnep.v9n6p73.

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Objective: To explore the strategies registered and licensed practical nurses implemented to lessen the possibility of driving while drowsy after working nights in hospitals, nursing homes, and home health facilities. A review of literature indicated shift work, circadian rhythm interruptions and multiple stressors such as age, caring for children/aging parents and working multiple jobs may affect drowsy driving. Studies on global drowsy driving and cultural differences may affect international applicability. Further research was needed to better understand drowsy driving best practices, training modalities for health care workers, and developing a multidisciplinary collaboration between management and night-shift workers.Methods: A qualitative, exploratory multiple-case method was utilized. Registered and licensed practical nurses (N = 12) were interviewed.Results: Identified themes including three major themes emerged from the data analysis. 1) Fatigue is a significant challenge that impedes driving home safely. 2) Night nurses experience significant additional stressors relating to caring for family, school, and multiple jobs. 3) Multiple strategies are helpful, but they do not replace the body’s need for sleep. Strategies for managing drowsy driving and anxiety/stress producing issues were offered.Conclusions: Twelve-night shift workers shared the challenges drowsy driving and anxiety/stress producing issues outside of the work-related duties. Health care administrators may use the results to gain insight for training nurses for the night shift to prevent drowsy driving injuries and fatalities. The results of the study may offer a platform for further investigation that may uncover best-practice strategies for health care administrators staffing other types of 24-hour medical care facilities.

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Ulas, Turgay, Hakan Buyukhatipoglu, Idris Kirhan, Mehmet Sinan Dal, Sevilay Ulas, Mehmet Emin Demir, Mehmet Ali Eren, et al. "Evaluation of oxidative stress parameters and metabolic activities of nurses working day and night shifts." Revista da Escola de Enfermagem da USP 47, no. 2 (April 2013): 471–76. http://dx.doi.org/10.1590/s0080-62342013000200028.

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The aim of this study was to evaluate the oxidative stress and metabolic activities of nurses working day and night shifts. Intensive care unit (ICU) (n=70) and ordinary service (OS) nurses (n=70) were enrolled in the study. Just before and the end of the shifts, blood samples were obtained to measure the participants' oxidative stress parameters. Metabolic activities were analyzed using the SenseWear Armband. Oxidative stress parameters were increased at the end of the shifts for all OS and ICU nurses compared to the beginning of the shifts. Compared to the OS nurses, the ICU nurses' TAS, TOS, and OSI levels were not significantly different at the end of the day and night shifts. The metabolic activities of the OS and ICU nurses were found to be similar. As a result, the OS and ICU nurses' oxidative stress parameters and metabolic activities were not different, and all of the nurses experienced similar effects from both the day and night shifts.

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Musy, Sarah N., Olga Endrich, Alexander B. Leichtle, Peter Griffiths, Christos T. Nakas, and Michael Simon. "Longitudinal Study of the Variation in Patient Turnover and Patient-to-Nurse Ratio: Descriptive Analysis of a Swiss University Hospital." Journal of Medical Internet Research 22, no. 4 (April 2, 2020): e15554. http://dx.doi.org/10.2196/15554.

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Background Variations in patient demand increase the challenge of balancing high-quality nursing skill mixes against budgetary constraints. Developing staffing guidelines that allow high-quality care at minimal cost requires first exploring the dynamic changes in nursing workload over the course of a day. Objective Accordingly, this longitudinal study analyzed nursing care supply and demand in 30-minute increments over a period of 3 years. We assessed 5 care factors: patient count (care demand), nurse count (care supply), the patient-to-nurse ratio for each nurse group, extreme supply-demand mismatches, and patient turnover (ie, number of admissions, discharges, and transfers). Methods Our retrospective analysis of data from the Inselspital University Hospital Bern, Switzerland included all inpatients and nurses working in their units from January 1, 2015 to December 31, 2017. Two data sources were used. The nurse staffing system (tacs) provided information about nurses and all the care they provided to patients, their working time, and admission, discharge, and transfer dates and times. The medical discharge data included patient demographics, further admission and discharge details, and diagnoses. Based on several identifiers, these two data sources were linked. Results Our final dataset included more than 58 million data points for 128,484 patients and 4633 nurses across 70 units. Compared with patient turnover, fluctuations in the number of nurses were less pronounced. The differences mainly coincided with shifts (night, morning, evening). While the percentage of shifts with extreme staffing fluctuations ranged from fewer than 3% (mornings) to 30% (evenings and nights), the percentage within “normal” ranges ranged from fewer than 50% to more than 80%. Patient turnover occurred throughout the measurement period but was lowest at night. Conclusions Based on measurements of patient-to-nurse ratio and patient turnover at 30-minute intervals, our findings indicate that the patient count, which varies considerably throughout the day, is the key driver of changes in the patient-to-nurse ratio. This demand-side variability challenges the supply-side mandate to provide safe and reliable care. Detecting and describing patterns in variability such as these are key to appropriate staffing planning. This descriptive analysis was a first step towards identifying time-related variables to be considered for a predictive nurse staffing model.

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Kang, Jiunn-Horng, Nae-Fang Miao, Ing-Jy Tseng, Trevor Sithole, and Min-Huey Chung. "Circadian Activity Rhythms and Sleep in Nurses Working Fixed 8-hr Shifts." Biological Research For Nursing 17, no. 3 (October 20, 2014): 348–55. http://dx.doi.org/10.1177/1099800414549454.

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Shift work is associated with adverse health outcomes. The aim of this study was to explore the effects of shift work on circadian activity rhythms (CARs) and objective and subjective sleep quality in nurses. Female day-shift ( n = 16), evening-shift ( n = 6), and night-shift ( n = 13) nurses wore a wrist actigraph to monitor the activity. We used cosinor analysis and time–frequency analysis to study CARs. Night-shift nurses exhibited the lowest values of circadian rhythm amplitude, acrophase, autocorrelation, and mean of the circadian relative power (CRP), whereas evening-shift workers exhibited the greatest standard deviation of the CRP among the three shift groups. That is, night-shift nurses had less robust CARs and evening-shift nurses had greater variations in CARs compared with nurses who worked other shifts. Our results highlight the importance of assessing CARs to prevent the adverse effects of shift work on nurses’ health.

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Economos, Guillaume, Francoise Tholly, Wadih Rhondali, Murielle Ruer, Colombe Tricou, Audrey Fawoubo, Élise Perceau-Chambard, and Marilene Filbet. "Nursing home hospital transfers in the terminally ill: night shift nurses matter!" BMJ Supportive & Palliative Care 10, no. 2 (September 17, 2019): 228–33. http://dx.doi.org/10.1136/bmjspcare-2019-001832.

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BackgroundFrench demographic projection expects an increasing number of older, dependent patients in the next few years. A large proportion of this population lives in nursing homes and their transfer to hospitals at the end of life is an ongoing issue.ObjectiveThis study explored the factors influencing the transfer of patients living in nursing homes to hospital at the end of life.DesignWe used a mixed-methods questionnaire developed by an expert group and assessing different characteristics of the nursing homes.ParticipantsAll the nursing homes in the Rhône-Alpes area (n=680) were surveyed.ResultsWe obtained 466 (68%) answers. We found that a palliative care programme was present in 336 (72%) nursing homes. The majority had a coordinating physician 428 (82%) and a mean number of 6 nurses for 83 beds, with 83 (18%) having a night shift nurse. There was a mean number of 19 deaths per nursing home during the recorded year. The main cause of death was dementia (41%), cancer-related death (13%). Death occurred mostly in the nursing home (14 74%). Night shift nurse attendance was significantly associated with the place of death: 27 deaths occurred in nursing homes with a night shift nurse versus 12 in those without one (p<0001).ConclusionsThe location of the death of frail elderly patients is a major health issue that needs to be addressed. Our results suggests that the presence of a night shift nurse decreases the number of emergency transfers and deaths in the hospital.

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Kang, Hyeonjin, Miyoung Lee, and Sun Joo Jang. "The Impact of Social Jetlag on Sleep Quality among Nurses: A Cross-Sectional Survey." International Journal of Environmental Research and Public Health 18, no. 1 (December 23, 2020): 47. http://dx.doi.org/10.3390/ijerph18010047.

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Social jetlag (SJL) refers to an asynchrony between one’s chronotype and social working hours, which can be detrimental to health. The current SJL situation in shift nurses who work in dysregulation is poorly understood. Therefore, this study aimed to investigate SJL during night shifts and identify the predictors of sleep quality in rotating shift nurses. A cross-sectional study was conducted in 2018 on a sample of 132 shift-working nurses from two general hospitals in South Korea (the response rate was 88.8%). The SJL was measured with the Munich Chronotype Questionnaire, and sleep quality was measured with the Pittsburgh Sleep Quality Index and the Verran and Snyder–Halpern Sleep Scale. Data analysis was mainly based on a multiple regression, to identify SJL’s influence on nurses’ sleep quality. The average SJL during night shifts was 2 h and 3 min, and the average sleep duration during night shifts was 6 h 10 min. Multiple regression analysis revealed that SJL, day-shift fatigue, and sleep quality during night shifts affected nurses’ sleep quality. These variables accounted for 24.7% of the variance in overall sleep quality. The study concluded that overall sleep quality can increase with decreasing day-shift fatigue, decreasing SJL, and increasing sleep quality on night shifts.

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Fagundo-Rivera, Javier, Juan Gómez-Salgado, Juan Jesús García-Iglesias, Carlos Gómez-Salgado, Selena Camacho-Martín, and Carlos Ruiz-Frutos. "Relationship between Night Shifts and Risk of Breast Cancer among Nurses: A Systematic Review." Medicina 56, no. 12 (December 10, 2020): 680. http://dx.doi.org/10.3390/medicina56120680.

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Background and objectives: The incidence of breast cancer worldwide has increased in recent decades, accounting for 1 in 3 neoplasms in women. Besides, nurses are mainly represented by the female collective, most of them, undertaking working conditions with intensive rotative and night shifts due to the 24-h pace of work of this profession. The objective of this study was to assess the possible relationship between shift work, especially night-time work, and the development of breast cancer among nurses. Materials and Methods: A systematic review of the literature was carried out through the consultation of the following databases: Cochrane Plus Library, PubMed, CINAHL (Cumulative Index to Nursing and Allied Health Literature), Web of Science, ScienceDirect, Scopus, and Dialnet. Records were selected between 2010 and 2020, in Spanish and English, which covered the association between breast cancer diagnosed among nursing professionals and rotating night shifts. Results: A total of 12 studies were identified after critical reading. Most of the studies found an association between breast cancer and consecutive rotating night shifts prolonged over time. Among the associated factors, the alteration of the circadian rhythm influenced the expression of peripheral clock genes, which was the same as reproductive hormones. The risk of breast cancer in nurses increased during early adulthood and after 5 or more years with 6 or more consecutive nights. Conclusions: The different studies of this review show significant associations between breast cancer and prolonged rotating night shifts. Similarly, there is a relationship between the alterations in certain circadian rhythm markers (such as melatonin), epigenetic markers (such as telomeres), and breast cancer that would require more studies in order to corroborate these findings.

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Fagundo-Rivera, Javier, Regina Allande-Cussó, Mónica Ortega-Moreno, Juan Jesús García-Iglesias, Adolfo Romero, Carlos Ruiz-Frutos, and Juan Gómez-Salgado. "Implications of Lifestyle and Occupational Factors on the Risk of Breast Cancer in Shiftwork Nurses." Healthcare 9, no. 6 (May 30, 2021): 649. http://dx.doi.org/10.3390/healthcare9060649.

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Shift work that involves circadian disruption has been highlighted as a likely carcinogenic factor for breast cancer in humans. Also, unhealthy lifestyle habits observed in night work nurses could be causally related to an increase in the incidence of estrogen-positive breast tumours in this population. Assessing baseline risk of breast cancer in nurses is essential. The objective of this study was to analyze the risk of breast cancer that nurses had in relation to their lifestyle and labour factors related to shift work. A cross-sectional descriptive study through a questionnaire about sociodemographic variables, self-perception of health, and working life was designed. The sample consisted of 966 nurses. The relationship between variables was tested. A binary logistic regression and a classification and regression tree were performed. The most significant labour variables in relation to the risk of breast cancer were the number of years worked (more than 16 years; p < 0.01; OR = 8.733, 95% CI = 2.811, 27.134) and the total years performing more than 3 nights per month (10 or more years; p < 0.05; OR = 2.294, 95% CI = 1.008, 5.220). Also, the nights worked throughout life (over 500; OR = 4.190, 95% CI = 2.118, 8.287) were significant in the analysis. Nurses who had or ever had breast cancer valued their self-perceived health more negatively (p < 0.001) and referred a lower quality of sleep (p < 0.001) than the non-cases nurses. The occupational factors derived from night work could have several impacts on nurses’ health and their family-work balance. Promoting healthy lifestyles, informing about shift work risks, and adjusting shift work schedules are critical methods to decrease the possible effects of circadian disruption in nurses.

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Papantoniou, Kyriaki, Jennifer Massa, Elizabeth Devore, Kassandra L. Munger, Tanuja Chitnis, Alberto Ascherio, and Eva S. Schernhammer. "Rotating night shift work and risk of multiple sclerosis in the Nurses’ Health Studies." Occupational and Environmental Medicine 76, no. 10 (August 12, 2019): 733–38. http://dx.doi.org/10.1136/oemed-2019-106016.

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ObjectivesNight shift work has been suggested as a possible risk factor for multiple sclerosis (MS). The objective of the present analysis was to prospectively evaluate the association of rotating night shift work history and MS risk in two female cohorts, the Nurses’ Health Study (NHS) and NHSII.MethodsA total of 83 992 (NHS) and 114 427 (NHSII) women were included in this analysis. We documented 579 (109 in NHS and 470 in NHSII) incident physician-confirmed MS cases (moderate and definite diagnosis), including 407 definite MS cases. The history (cumulative years) of rotating night shifts (≥3 nights/month) was assessed at baseline and updated throughout follow-up. Cox proportional hazards models were used to estimate HRs and 95% CIs for the association between rotating night shift work and MS risk adjusting for potential confounders.ResultsWe observed no association between history of rotating night shift work and MS risk in NHS (1–9 years: HR 1.03, 95% CI 0.69 to 1.54; 10+ years: 1.15, 0.62 to 2.15) and NHSII (1–9 years: HR 0.90, 95% CI 0.74 to 1.09; 10+ years: 1.03, 0.72 to 1.49). In NHSII, rotating night shift work history of 20+ years was significantly associated with MS risk, when restricting to definite MS cases (1–9 years: HR 0.88, 95% CI 0.70 to 1.11; 10–19 years: 0.98, 0.62 to 1.55; 20+ years: 2.62, 1.06 to 6.46).ConclusionsOverall, we found no association between rotating night shift work history and MS risk in these two large cohorts of nurses. In NHSII, shift work history of 20 or more years was associated with an increased risk of definite MS diagnosis.

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Rotter, Markus, Stefan Brandmaier, Marcela Covic, Katarzyna Burek, Johannes Hertel, Martina Troll, Erik Bader, et al. "Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype." Metabolites 8, no. 3 (August 21, 2018): 45. http://dx.doi.org/10.3390/metabo8030045.

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Night shift work can have a serious impact on health. Here, we assess whether and how night shift work influences the metabolite profiles, specifically with respect to different chronotype classes. We have recruited 100 women including 68 nurses working both, day shift and night shifts for up to 5 consecutive days and collected 3640 spontaneous urine samples. About 424 waking-up urine samples were measured using a targeted metabolomics approach. To account for urine dilution, we applied three methods to normalize the metabolite values: creatinine-, osmolality- and regression-based normalization. Based on linear mixed effect models, we found 31 metabolites significantly (false discovery rate <0.05) affected in nurses working in night shifts. One metabolite, acylcarnitine C10:2, was consistently identified with all three normalization methods. We further observed 11 and 4 metabolites significantly associated with night shift in early and late chronotype classes, respectively. Increased levels of medium- and long chain acylcarnitines indicate a strong impairment of the fatty acid oxidation. Our results show that night shift work influences acylcarnitines and BCAAs, particularly in nurses in the early chronotype class. Women with intermediate and late chronotypes appear to be less affected by night shift work.

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Romadhoni, Rohmat Dwi, and Widodo J. Pudjirahardjo. "Beban Kerja Obyektif Tenaga Perawat di Pelayanan Rawat Inap Rumah Sakit." Jurnal Administrasi Kesehatan Indonesia 4, no. 1 (December 30, 2016): 57. http://dx.doi.org/10.20473/jaki.v4i1.2016.57-66.

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Inpatient services at the X Hospital consists of Intensive Care Units and Inpatient Units. In 2014, a nurse at the unit as a whole experienced a shortfall of 66.67% from 9 rooms there. This shortage triggered theincreasing of nurse workload. This study aimed to find out the objective workload on nurses in Intensive Care Units and Inpatient Units. This research is quantitative descriptive with cross-sectional design. The sample used is total sampling, as many as 174 nurses. Data obtained using activity sheets time and motion study indirectly (self-assessment). Results from this study show the objective workload in the Intensive Care Unit on the morningshift have a heavy workload category, afternoon shift and the night shift has a moderate workload category, while at Inpatient Unit on the morning shift and afternoon shift has a heavy workload category, and shift night has amoderate workload category. The conclusion of this study is objective workload in the Intensive Care Unit has a moderate workload category, while the objective workload in the Inpatient Unit has a heavy workload category.Keywords: nurse,objective workload, time and motion study

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Williams, Gwen Margaret. "Obesity Among Night Shift Nurses: Time to Intervene." American Journal of Public Health 107, no. 1 (January 2017): 41–42. http://dx.doi.org/10.2105/ajph.2016.303511.

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West, Sandra, Trudy Rudge, and Virginia Mapedzahama. "Conceptualizing nurses' night work: an inductive content analysis." Journal of Advanced Nursing 72, no. 8 (April 7, 2016): 1899–914. http://dx.doi.org/10.1111/jan.12966.

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Coburn, Ed. "A lifestyle how-to for night-shift nurses." Nursing Management (Springhouse) 31, no. 9 (September 2000): 28. http://dx.doi.org/10.1097/00006247-200009000-00016.

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Castledine, George. "Should nurses be stopped sleeping on night duty?" British Journal of Nursing 7, no. 7 (April 9, 1998): 442. http://dx.doi.org/10.12968/bjon.1998.7.7.442.

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ADAMS, JEFFREY, SIMON FOLKARD, and MICHAEL YOUNG. "Coping strategies used by nurses on night duty∗." Ergonomics 29, no. 2 (February 1986): 185–96. http://dx.doi.org/10.1080/00140138608968259.

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WILKINSON, ROBERT, SUE ALLISON, MARGARET FEENEY, and ZOFIA KAMINSKA. "Alertness of night nurses: two shift systems compared." Ergonomics 32, no. 3 (March 1989): 281–92. http://dx.doi.org/10.1080/00140138908966088.

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Lie, Jenny-Anne S., Jolanta Roessink, and Kristina Kjærheim. "Breast Cancer and Night Work among Norwegian Nurses." Cancer Causes & Control 17, no. 1 (February 2006): 39–44. http://dx.doi.org/10.1007/s10552-005-3639-2.

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Geiger-Brown, Jeanne, and Anthony McDonald. "Mitigating Drowsy Driving Risk for Night Shift Nurses." AJN, American Journal of Nursing 121, no. 10 (October 2021): 11. http://dx.doi.org/10.1097/01.naj.0000794192.75580.70.

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Chang, Yu-San, Yu-Hsuan Wu, Hsiang-Lan Chen, and Chung-Yao Hsu. "Four Night Shifts Have a Degree of Performance Adaptation." Human Factors: The Journal of the Human Factors and Ergonomics Society 59, no. 6 (June 5, 2017): 925–36. http://dx.doi.org/10.1177/0018720817711285.

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Objective: In this case control study, we investigated the process of adaptation to night shift (NS) work and recovery back to a day schedule among nurses working a fast-rotation three-shift schedule. Background: There is limited knowledge of how specific patterns of a fast-rotation shift affect nurses’ performance. Method: The cognitive performance of off-duty nurses (OD; n = 21), those working the first night of an NS (1NS; n = 21) and the last night of two ( n = 21), three ( n = 20), and four (4NS; n = 21) successive NSs were compared. Changes in sleep propensity, cognitive function, and anxiety were compared in the daytime after working four successive NSs followed by 24 hr off (4NS-off; n = 18) and in those off duty. Results: The visual attention task (VAT) of cognitive function was significantly worse in the 1NS group and significantly better on the last night in the 4NS group than in the other NS groups. The nurses in the 4NS-off group were less alert and had poorer VAT performance than the OD group during the daytime. Conclusion: The nurses working on NS experienced a decrease in VAT performance due to acute changes in circadian rhythm but also significant performance adaptation after four consecutive NSs. One off-duty day was insufficient to recover back to a daytime shift after four consecutive NSs. Application: In a fast-rotation three-shift schedule, performance adaptation occurred in the nurses who worked four consecutive NSs, and more than one off-duty day are needed to recover back to daytime shift after those NSs.

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Vigoureux, T. F., and S. Lee. "0181 Stressor Reactivity to Insufficient Sleep in Oncology Nurses: Does Work Shift Matter?" Sleep 43, Supplement_1 (April 2020): A71—A72. http://dx.doi.org/10.1093/sleep/zsaa056.179.

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Abstract Introduction Individuals generally perceive more stressors on days following nights with shorter-than-usual sleep duration. Recent research shows that this daily sleep—stress relationship (i.e., stressor reactivity to insufficient sleep) is stronger for some than for others. Workers in certain occupations, such as oncology nurses, may be more prone to insufficient sleep and/or more stressors. Given the impact of work schedule on sleep, this study examined whether stressor reactivity to insufficient sleep differed between day and night shift nurses working at a cancer hospital. Methods Participants were 39 day-shift and 19 night-shift nurses at a cancer hospital (Mage=35.36±12.00). Using ecological momentary assessments for 14 days, we asked participants about their previous night’s sleep characteristics and their daily stressor frequency and severity before lunch, during afternoon, and before bedtime. Using multi-level modeling, we tested whether previous night’s sleep duration, quality, or sufficiency predicted next day’s total stressor frequency or severity. For analyses with significant within-person effects, we extracted a reactivity slope for each participant. We used t-tests to examine whether day and night shift nurses differed in reactivity. Results There were significant within-person associations of sleep duration with (a) stressor frequency (b=-.07, p<.001) and (b) stressor severity (b=-.76, p<.001), but no associations of sleep quality or sufficiency with stressor frequency or severity. Day and night shift nurses did not differ in either of these operationalizations of stressor reactivity to insufficient sleep, or on any stressor or sleep variables except for average sleep duration (Mnight=6.87±2.57 vs. Mday=8.02±1.84, p<.001). Conclusion These findings suggest that the phenomenon of perceiving more stressors in response to insufficient sleep exists regardless of work shifts. Given the previously found association between stressor reactivity to insufficient sleep and body mass index in middle-aged workers, further analyses will test how this reactivity is associated with health outcomes in oncology nurses. Support This work was supported, in part, by the University of South Florida College of Behavioral & Community Sciences Internal Grant Program (PI: Lee, Grant No. 0134930).

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Journal articles on the topic 'Night nurses'

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