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Original Article
Sleep Patterns and Circadian Types of Nursing Students during Shift Schedules
Hyun Sook Kim, Mi-Ran Eom, Eun-Kyung Kim
Journal of Korean Academy of Nursing 2010;40(1):43-51.
DOI: https://doi.org/10.4040/jkan.2010.40.1.43
Published online: February 28, 2010

1Assistant Professor, College of Nursing, Eulji University, Seongnam, Korea.

2Associate Professor, Department of Nursing, Mokpo National University, Muan, Korea.

3Assistant Professor, Department of Nursing, Mokpo National University, Muan, Korea.

Address reprint requests to: Eom, Mi-Ran. Department of Nursing, Mokpo National University, 61 Dorim-ri, Cheongye-myeon, Muan 534-729, Korea. Tel: 82-61-450-2671, Fax: 82-61-450-2679, miran@mokpo.ac.kr
• Received: June 9, 2009   • Accepted: January 18, 2010

Copyright © 2010 Korean Society of Nursing Science

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  • Purpose
    The purpose of this study was to investigate sleep habits, sleep disturbance, and circadian types, and to identify factors influencing sleep disturbance in nursing students.
  • Methods
    Participants were 140 senior nursing students. The data were collected from May 19 to 27, 2008 using self-report questionnaires.
  • Results
    1) Evening type delayed sleep-wake schedules were more frequent than for morning type, especially during weekend and evening shift duty. 2) In total sleep time, there were no significant statistical differences between morning type and evening type during weekdays, weekend, day or evening shift duty. 3) On weekdays and day shift duty, the mean score for sleep disturbance was significantly higher in the evening type compared to the morning type. 4) Sleep disturbance in weekday and day shift duty was influenced by circadian types, eating habits, and gender.
  • Conclusion
    The circadian types are a very important factor for determining the sleep quantity and quality in nursing students.
  • Keywords: Nursing students; Circadian rhythm; Sleep
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Table 1
General Characteristics of Participants (N=140)
jkan-40-43-i001.jpg
Table 2
Circadian Type and Sleep Patterns of Particpants (N=140)
jkan-40-43-i002.jpg
Table 3
Comparison of Sleep Patterns of Participants according to Circadian Type
jkan-40-43-i003.jpg

*Scheffe's test.

M=Morning type, N=Neither type, E=Evening type, TST=Total sleep time, DFA=Difficulty in falling asleep, DMS=Difficulty in maintaining sleep, FNR=Feeling of not being refreshed in the morning, TSD=Total sleep difficulty.

Table 4
Multiple Regression for the Predictors of Sleep Disturbance (N=140)
jkan-40-43-i004.jpg

*Dummy variables: insomnia (no=0, yes=1), Gender (male=0, female=1).

Figure & Data

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        Sleep Patterns and Circadian Types of Nursing Students during Shift Schedules
        J Korean Acad Nurs. 2010;40(1):43-51.   Published online February 28, 2010
        DOI: https://doi.org/10.4040/jkan.2010.40.1.43
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      Sleep Patterns and Circadian Types of Nursing Students during Shift Schedules
      Sleep Patterns and Circadian Types of Nursing Students during Shift Schedules

      General Characteristics of Participants (N=140)

      Circadian Type and Sleep Patterns of Particpants (N=140)

      Comparison of Sleep Patterns of Participants according to Circadian Type

      *Scheffe's test.

      M=Morning type, N=Neither type, E=Evening type, TST=Total sleep time, DFA=Difficulty in falling asleep, DMS=Difficulty in maintaining sleep, FNR=Feeling of not being refreshed in the morning, TSD=Total sleep difficulty.

      Multiple Regression for the Predictors of Sleep Disturbance (N=140)

      *Dummy variables: insomnia (no=0, yes=1), Gender (male=0, female=1).
      Table 1 General Characteristics of Participants (N=140)

      Table 2 Circadian Type and Sleep Patterns of Particpants (N=140)

      Table 3 Comparison of Sleep Patterns of Participants according to Circadian Type

      *Scheffe's test.

      M=Morning type, N=Neither type, E=Evening type, TST=Total sleep time, DFA=Difficulty in falling asleep, DMS=Difficulty in maintaining sleep, FNR=Feeling of not being refreshed in the morning, TSD=Total sleep difficulty.

      Table 4 Multiple Regression for the Predictors of Sleep Disturbance (N=140)

      *Dummy variables: insomnia (no=0, yes=1), Gender (male=0, female=1).

      Table 1

      Table 2

      Table 3

      Table 4

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