Sleep quality and the need for recovery among nurses working irregular shifts: A cross-sectional study.
Uthman Albakri, Nick Smeets, Elizabeth Drotos and 3 others
PMID 38848155WHAT IT FOUND
Nurses working irregular shifts, especially those with night shifts, reported poorer sleep quality and greater difficulty functioning during the day.
Poor sleep was strongly linked to a higher need for recovery after work, suggesting sleep quality is a key factor in post-work fatigue.
Key findings
01Nurses working irregular night shifts had significantly poorer sleep quality than those working irregular shifts without night shifts.
02Poor sleep quality was strongly associated with a higher need for recovery after work, even after adjusting for age, gender, and working hours.
03Nurses working night shifts reported significantly more difficulty with daily functioning due to sleep problems compared to those without night shifts.
STILL TO COME
How it was doneWhat they found
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What it does not show
The cross-sectional design prevents establishing causality between shift work, sleep quality, and need for recovery. The study was limited to nurses at a single Dutch hospital, which may limit generalizability to other healthcare systems or professions. There were no established cut-off points for 'markedly poor' sleep quality in the specific questionnaire used, making clinical interpretation of scores difficult. The study did not measure key work-related confounders such as workload, job demands, or specific shift schedules, which could influence both sleep and recovery. Self-reported data may be subject to recall bias or social desirability bias.
The easy way to misread this
Do not assume that night shift work directly causes a higher need for recovery. The study found no significant difference in the need for recovery between nurses working night shifts and those who do not. The link between night shifts and recovery issues was mediated by poor sleep quality, and the initial apparent association with lower recovery needs was likely influenced by confounding factors like general health.