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ICU轮班护士日间嗜睡的潜类别及影响因素分析

Latent class analysis of daytime sleepiness among nurses working rotating shifts in intensive care units:the influencing factors
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摘要 目的探索ICU轮班护士日间嗜睡的潜在分类特点,并分析不同潜类别的影响因素。方法采用便利抽样法,以浙江省5所三甲医院ICU 304名轮班护士为研究对象,采用中国成人日间嗜睡量表和工作家庭冲突量表进行调查。结果ICU轮班护士日间嗜睡可分为3个潜类别:无/低嗜睡组(24.3%)、中嗜睡组(48.5%)和高嗜睡组(27.2%)。多分类logistic回归分析结果显示,工作-家庭冲突、工作年限、夜班前小睡情况和夜班后实际补觉时间是日间嗜睡潜类别的影响因素(均P<0.05)。结论ICU轮班护士日间嗜睡特征存在异质性,护理管理者应重视护士下夜班后的日间睡眠,制订个性化干预措施,促进睡眠健康,改善日间嗜睡状况。 Objective To explore the characteristics of latent categories of daytime sleepiness among nurses working rotating shifts in intensive care units,and to analyze the influencing factors of the latent classes.Methods Using the convenient sampling method,304 nurses working rotating shifts in ICU of 3A hospitals in Zhejiang province were surveyed online using the self-designed general data,the Chinese Adult Daytime Sleepiness Scale and the Work-Family Conflict Scale.Results Three distinctive categories were derived from the data:no/low sleepiness group(24.3%),moderate sleepiness group(48.5%)and the high sleepiness group(27.2%).The results of multinomial logistic regression analysis showed that work-family conflict,working years,nap before night shift and actual sleep time after night shift were the influencing factors for the latent categories of daytime sleepiness(P<0.05 for all).Conclusion There is heterogeneity in daytime sleepiness characteristics of ICU nurses working rotating shifts.Nursing managers should pay attention to nurses′daytime sleep after night shifts and develop individualized interventions,in an effort to promote sleep health and improve daytime sleepiness in nurses.
作者 陈珊珊 盛智琼 陈坊坊 张其霞 卫庆 孙彩霞 Chen Shanshan;Sheng Zhiqiong;Chen Fangfang;Zhang Qixia;Wei Qing;Sun Caixia(Department of Intensive Care Unit,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou 325000,China)
出处 《护理学杂志》 CSCD 北大核心 2023年第11期63-66,72,共5页 Journal of Nursing Science
基金 浙江省卫生健康科技计划面上项目(2021KY791) 温州市基础性科研项目(Y20220092)。
关键词 ICU 护士 轮班 日间嗜睡 潜类别分析 睡眠障碍 护理管理 ICU nurses shift work daytime sleepiness latent class analysis sleep disorder nursing management
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