Faculty of Nursing, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China; College of Nursing, Xi'an Medical University, Xi'an, Shaanxi, China.
Faculty of Nursing, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Sleep Med. 2021 May;81:253-260. doi: 10.1016/j.sleep.2021.02.050. Epub 2021 Feb 27.
The aim of the study had two stages. One was to examine the psychometric quality of the Sleep Hygiene Index (SHI) in Chinese version and its predicted function for the prevalence of insomnia. The other was to describe the prevalence of poor sleep hygiene habits and associated factors of sleep hygiene habits in Chinese nursing students.
According to Brislin translation model, the English version of SHI was translated into Chinese. And a pilot-survey was carried out to measure psychometric quality of the Chinese version of SHI with 260 nursing students by convenient sampling. Then a cross-sectional survey was conducted. 659 undergraduates were recruited by simple random sampling in a medical university in China. Data collection instruments consisted of a demographic questionnaire, the Sleep Hygiene Index (SHI), the Insomnia Severity Index (ISI) and the Brief Insomnia Questionnaire (BIQ). Data were analyzed by SPSS 24.0 and Amos 24.0 with P = 0.05 as the significant test value.
The internal consistency reliability of SHI in Chinese version was more than 0.60 (α = 0.62, ω = 0.63). The concurrent validity presented significantly (r = 0.25, P < 0.001). Exploratory factor analysis found that a six component model explained 63.06% of total variance and confirmatory factor analysis showed good fitness (χ/df=2.14, RMSEA = 0.04). ROC analysis showed that the cut-off value predicting for insomnia was 5.50 (52.90% sensitivity and 75.80% specificity). The area under the ROC curve was 0.66 (95% confidence interval = 0.61-0.71). 199 (30.20%) participant had poor sleep hygiene habits, especially in the aspects of staying too longer in bed (65.25%) and irregular sleep schedule. Multiple linear regression analysis showed health condition, academic difficulties and gender were more common associated factors of sleep hygiene.
The Chinese version of the Sleep Hygiene Index demonstrates satisfactory psychometric qualities and has higher sensitivity and specificity to predict for insomnia. So SHI could be used in Chinese nursing students and detect high levels of insomnia. The status of sleep hygiene of nursing students in China should be concerned. Sleep hygiene education should be carried out in nursing students with different gender, health condition, and academic performance.
该研究分为两个阶段。第一阶段旨在检验中文版睡眠卫生指数（SHI）的心理计量学质量及其对失眠患病率的预测功能。第二阶段旨在描述中国护理学生不良睡眠卫生习惯的流行情况及相关因素。
根据 Brislin 翻译模型，将英文版 SHI 翻译成中文。通过方便抽样，对 260 名护理学生进行了预调查，以测量中文版 SHI 的心理计量学质量。然后进行了横断面调查。在中国一所医科大学，通过简单随机抽样，共招募了 659 名本科生。数据收集工具包括人口统计学问卷、睡眠卫生指数（SHI）、失眠严重程度指数（ISI）和简短失眠问卷（BIQ）。采用 SPSS 24.0 和 Amos 24.0 进行数据分析，以 P=0.05 为显著检验值。
中文版 SHI 的内部一致性信度大于 0.60（α=0.62，ω=0.63）。同时效度显示显著相关（r=0.25，P<0.001）。探索性因子分析发现，一个六因素模型可以解释 63.06%的总方差，验证性因子分析显示拟合良好（χ/df=2.14，RMSEA=0.04）。ROC 分析表明，预测失眠的截断值为 5.50（52.90%的敏感性和 75.80%的特异性）。ROC 曲线下面积为 0.66（95%置信区间为 0.61-0.71）。199 名（30.20%）参与者存在不良睡眠卫生习惯，特别是在床上呆的时间过长（65.25%）和不规律的睡眠时间表。多元线性回归分析显示，健康状况、学业困难和性别是睡眠卫生更常见的相关因素。
中文版睡眠卫生指数具有满意的心理计量学质量，对预测失眠具有较高的敏感性和特异性。因此，SHI 可用于中国护理学生，以检测高水平的失眠。应关注中国护理学生的睡眠卫生状况。应针对不同性别、健康状况和学业成绩的护理学生开展睡眠卫生教育。
