背景:睡眠状况指标(SCI),基于更新的精神疾病诊断和统计手册的失眠测量工具,第五版(DSM-5)标准具有健全的心理测量特性,适用于各种人群,在这里对医疗保健学生进行了纵向评估,证明其在这个特别高风险人群中的测量特性和不变性。
方法:招募了一所中国大学的医疗保健学生参加这项两波纵向研究,完成简体中文版本的SCI(SCI-SC),中国规律,满意,警觉性,定时,效率,持续时间(RU_SATED-C)刻度,中国患者健康问卷-4(PHQ-4-C),和2022年9月至11月的社会人口统计学变量问卷(Q-SV)。结构有效性,测量不变性(MI),收敛效度和判别效度,内部一致性,并对SCI-SC的重测信度进行了检查。性别分组,年龄,homelocation,兼职工作,体育锻炼,并对压力应对策略进行了两次调查,以测试横截面和纵向MI。
结果:我们确定了343个有效应答(62.9%为女性,平均年龄=19.650±1.414岁),时间间隔为7天。双因素结构被认为是令人满意的(比较拟合指数=0.953-0.989,塔克-刘易斯指数=0.931-0.984,逼近的均方根误差=0.040-0.092,标准化均方根残差=0.039-0.054),除了兼职工作小组外,大多数人都支持严格的不变性,因此建立纵向不变性。SCI-SC在RU_SATED-C量表(r≥0.500)下表现出可接受的收敛有效性,PHQ-4-C(0.300≤r<0.500)的判别效度,内部稠度(克朗巴赫的α=0.811-0.835,麦当劳的ω=0.805-0.832),和重测信度(组内相关系数=0.829)。
结论:SCI-SC是一种合适的筛查工具,可用于评估医疗保健学生的失眠症状,和有前途的测量属性提供了额外的证据,关于有效性和可靠性检测保健学生失眠。
BACKGROUND: The Sleep Condition Indicator (SCI), an insomnia measurement tool based on the updated Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria with sound psychometric properties when applied in various populations, was evaluated here among healthcare students longitudinally, to demonstrate its measurement properties and invariance in this particularly high-risk population.
METHODS: Healthcare students of a Chinese university were recruited into this two-wave longitudinal study, completing the simplified Chinese version of the SCI (SCI-SC), Chinese Regularity, Satisfaction, Alertness, Timing, Efficiency, Duration (RU_SATED-C) scale, Chinese Patient Health Questionnaire-4 (PHQ-4-C), and sociodemographic variables questionnaire (Q-SV) between September and November 2022. Structural validity, measurement invariance (MI), convergent and discriminant validity, internal consistency, and test-retest reliability of the SCI-SC were examined. Subgroups of gender, age, home location, part-time job, physical exercise, and stress-coping strategy were surveyed twice to test cross-sectional and longitudinal MI.
RESULTS: We identified 343 valid responses (62.9% female, mean age = 19.650 ± 1.414 years) with a time interval of seven days. The two-factor structure was considered satisfactory (comparative fit index = 0.953-0.989, Tucker-Lewis index = 0.931-0.984, root means square error of approximation = 0.040-0.092, standardized root mean square residual = 0.039-0.054), which mostly endorsed strict invariance except for part-time job subgroups, hence establishing longitudinal invariance. The SCI-SC presented acceptable convergent validity with the RU_SATED-C scale (r ≥ 0.500), discriminant validity with the PHQ-4-C (0.300 ≤ r < 0.500), internal consistency (Cronbach\'s alpha = 0.811-0.835, McDonald\'s omega = 0.805-0.832), and test-retest reliability (intraclass correlation coefficient = 0.829).
CONCLUSIONS: The SCI-SC is an appropriate screening instrument available for assessing insomnia symptoms among healthcare students, and the promising measurement properties provide additional evidence about validity and reliability for detecting insomnia in healthcare students.