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Research Paper
- Sleep Deprivation and Fatigue among Nurses Working Consecutive Night Shifts: A Prospective Observational Study
- Min, Ari , Seo, Jisu , Kang, Minkyung , Hong, Hye Chong
- J Korean Acad Nurs 2024;54(2):139-150. Published online May 31, 2024
- DOI: https://doi.org/10.4040/jkan.23164
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Abstract
PDF - Purpose
This study aimed to identify changes in sleep patterns and fatigue levels during consecutive night shifts among shift nurses and to determine the association between sleep parameters and increased fatigue levels during work.
Methods
This prospective observational study employing ecological momentary assessments was conducted using data collected from 98 shift nurses working in Korean hospitals between June 2019 and February 2021. The sleep patterns were recorded using actigraphy. The participants reported their fatigue levels at the beginning and end of each night shift in real time via a mobile link. Linear mixed models were used for the analysis.
Results
Nurses spent significantly less time in bed and had shorter sleep durations during consecutive night shifts than on off-duty days, whereas their wake times after sleep onset were much longer on off-duty days than on on-duty days. Fatigue levels were higher on the second and third night-shift days than on the first night-shift days. A shorter time spent in bed and asleep was associated with a greater increase in fatigue levels at the end of the shift than at the beginning.
Conclusion
Nurses experience significant sleep deprivation during consecutive night shifts compared with off-duty days, and this sleep shortage is associated with a considerable increase in fatigue levels at the end of shifts. Nurse managers and administrators must ensure sufficient intershift recovery time during consecutive night shifts to increase the time spent in bed and sleeping.
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Original Article
- Relationship of Daily Activity and Biochemical Variables in the Elderly with Diabetes Mellitus
- Ki-Wol Sung
- J Korean Acad Nurs 2011;41(2):182-190. Published online April 30, 2011
- DOI: https://doi.org/10.4040/jkan.2011.41.2.182
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Abstract
PDF
Purpose This study was done to identify correlates and variables predicting daily activity among elders with Diabetes Mellitus (DM).
Methods Seventy-six elders registered in the Department of Endocrine Medicine at C university hospital participated in data collection. Data on daily activity and biochemical variables were collected via actigraph accelerator (Actical) and blood tests between September 2009 and July 2010. Data analysis was done using SPSS WIN 15.0 program and included one-way ANOVA, independent t-test, Pearson correlation coefficients, and stepwise multiple regression.
Results This study showed a positive correlation between daily activity and High Density Lipoprotein Cholesterol (HDL-C) and a negative correlation among Total Cholesterol (TC), Triglyceride (TG), and Low Density Lipoprotein Cholesterol (LDL-C). The variables predicting daily activity were frequency of exercise, HDL-C, and TC. These factors accounted for 40.0% of the variance of daily activity in elders with DM.
Conclusion The results indicate that it is necessary to improve daily activity to reduce Fasting Blood Glucose (FBG), TC, and TG in elders with DM.
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