Objective:To explore the latent categories of sleep quality in shift nurses using latent profile analysis, and analyze the characteristics and influencing factors of each category.Methods:A convenience sampling method was used to select 1 480 shift nurses from three ClassⅢ Grade A hospitals in Fuyang city from January to February 2024. Data were collected using a general information questionnaire, Pittsburgh Sleep Quality Index, Perceived Stress Scale, and the Morningness-Eveningness Questionnaire-5. Latent profile analysis was performed to identify the latent categories of sleep quality, and multivariate logistic regression analysis was used to explore the influencing factors of different sleep quality categories. In this study, a total of 1 480 questionnaires were distributed. After excluding 28 invalid questionnaires, 1 452 valid questionnaires were retrieved, the effective recovery rate of the questionnaires was 98.11%.Results:The sleep quality of 1 452 shift nurses was classified into four latent categories: 44.5% (647/1 452) were in the "sleep impairment" category, 44.6% (648/1 452) in the "good sleep" category, 4.0% (58/1 452) in the "difficulty falling asleep-low efficiency" category, and 6.8% (99/1 452) in the "sleep disorder-medication-induced sleep" category. Multivariate logistic regression analysis revealed that perceived stress, monthly night shift frequency, sleep timing, daytime napping, and years of work experience were significant influencing factors for sleep quality ( P<0.05) . Conclusions:Sleep quality among shift nurses shows heterogeneity. Nursing managers should develop tailored management strategies and implement targeted sleep hygiene interventions based on nurses' sleep quality characteristics to improve their sleep quality.

Objective:To explore the latent categories of sleep quality in shift nurses using latent profile analysis, and analyze the characteristics and influencing factors of each category.Methods:A convenience sampling method was used to select 1 480 shift nurses from three ClassⅢ Grade A hospitals in Fuyang city from January to February 2024. Data were collected using a general information questionnaire, Pittsburgh Sleep Quality Index, Perceived Stress Scale, and the Morningness-Eveningness Questionnaire-5. Latent profile analysis was performed to identify the latent categories of sleep quality, and multivariate logistic regression analysis was used to explore the influencing factors of different sleep quality categories. In this study, a total of 1 480 questionnaires were distributed. After excluding 28 invalid questionnaires, 1 452 valid questionnaires were retrieved, the effective recovery rate of the questionnaires was 98.11%.Results:The sleep quality of 1 452 shift nurses was classified into four latent categories: 44.5% (647/1 452) were in the "sleep impairment" category, 44.6% (648/1 452) in the "good sleep" category, 4.0% (58/1 452) in the "difficulty falling asleep-low efficiency" category, and 6.8% (99/1 452) in the "sleep disorder-medication-induced sleep" category. Multivariate logistic regression analysis revealed that perceived stress, monthly night shift frequency, sleep timing, daytime napping, and years of work experience were significant influencing factors for sleep quality ( P<0.05) . Conclusions:Sleep quality among shift nurses shows heterogeneity. Nursing managers should develop tailored management strategies and implement targeted sleep hygiene interventions based on nurses' sleep quality characteristics to improve their sleep quality.