A total of 522 ICU nurses completed the survey, resulting in an effective response rate of 95.7%.
Four potential sleep quality profiles for ICU nurses were identified: 'high sleep quality - no sleeping pills' (43.7%), 'medium sleep quality - low sleeping pills' (40.6%), 'medium sleep quality - medium sleeping pills' (10.5%), and 'low sleep quality - high sleeping pills' (5.2%).
Key factors influencing the sleep quality classifications included the number of night shifts per week, marital status, and scores from the , FSS, and scales.
The sleep quality characteristics among ICU nurses are diverse, indicating significant variations in their sleep experiences.
Unordered multinomial logistic regression analysis showed statistical significance for the identified factors (P < 0.05).
Simplified
This study aims to identify the potential classifications of sleep disturbances within the ICU nurse population, and to compare the between-group differences in demographic data and sleep characteristics. Through convenience sampling, ICU nurses from three tertiary A-level hospitals in China were selected as research subjects from March to May 2024. A survey was conducted using a demographic data questionnaire, the scale, the scale, and the scale, and the data on the sleep quality of ICU nurses was collected via electronic questionnaires. This research also utilized latent class analysis to examine the symptomatic traits of sleep quality in ICU nurses. Additionally, it applied univariate analysis and unordered multinomial logistic regression models to determine the factors influencing the various categories of their sleep quality. A total of 545 questionnaires were distributed, of which 522 were validly returned, yielding an effective response rate of 95.7%. Four potential sleep quality profiles were identified, including "high sleep quality - no sleeping pills," "medium sleep quality - low sleeping pills," "medium sleep quality - medium sleeping pills," and "low sleep quality - high sleeping pills," with proportions of 43.7%, 40.6%, 10.5%, and 5.2%, respectively. Unordered multinomial logistic regression analysis indicated that the number of night shifts per week, marital status, BPS scores, FSS scores, and DASS-21 scores were key factors affecting the sleep quality classification of ICU nurses(P < 0.05). The sleep quality characteristics of ICU nurses are diverse and can be divided into four different categories. Therefore, nursing managers should be aware of this heterogeneity and take corresponding intervention measures based on the classification of nurses to ensure their sleep quality and promote psychological health.
Key numbers
522 of 545
Response Rate
Total valid responses from distributed questionnaires.
43.7%, 40.6%, 10.5%, 5.2%
Profile Proportions
Distribution of identified sleep quality profiles.
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