Sleep strategies of night-shift nurses on days off: Which ones are most adaptive?

Megan Petrov, C. Brendan Clark, Hylton E. Molzof, Russell L. Johnson, Karen L. Cropsey, Karen L. Gamble

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

relationship between these sleep strategies and adaptation to shift work, and identify the participant-level characteristics associated with a given sleep strategy. Methods: African-American and non-Hispanic White female, night-shift nurses from an academic hospital were recruited to complete a survey on sleep-wake patterns (n = 213). Participants completed the standard shiftwork index and the biological clocks questionnaire to determine sleep strategies and adaptation to night-shift work. In addition, chronotype was determined quantitatively with a modified version of the Munich ChronoType Questionnaire. Most participants worked ~3 consecutive 12-h night-shifts followed by several days off. Results: Five sleep strategies used on days off were identified: (a) night stay, (b) nap proxy, (c) switch sleeper, (d) no sleep, and (e) incomplete switcher. Nap proxy and no sleep types were associated with poorer adaptation to night-shift work. The switch sleeper and incomplete switcher types were identified as more adaptive strategies that were associated with less sleep disturbance, a later chronotype, and less cardiovascular problems. Conclusion: Behavioral sleep strategies are related to adaptation to a typical night-shift schedule among hospital nurses. Nurses are crucial to the safety and well-being of their patients. Therefore, adoption of more adaptive sleep strategies may reduce sleep/wake dysregulation in this population, and improve cardiovascular outcomes.

Original languageEnglish (US)
Article number277
JournalFrontiers in Neurology
Volume5
Issue numberDEC
DOIs
StatePublished - 2014

Keywords

  • Cardiovascular symptoms
  • Chronotype
  • Nurses
  • Shift work
  • Sleep disturbance

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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