Veqar Zubia, Hussain Mohammed Ejaz
Centre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia, Okhla, New Delhi, India.
Int J Adolesc Med Health. 2017 Jan 7;32(1):/j/ijamh.2020.32.issue-1/ijamh-2016-0090/ijamh-2016-0090.xml. doi: 10.1515/ijamh-2016-0090.
Insomnia severity index (ISI) is a widely used scale in various demographic groups but its psychometric properties have not been established in a sample of Indian subjects. This study was conducted as a preliminary study to extend and confirm the applicability of ISI to an Indian population of university students and to establish its correlation with the Pittsburgh Sleep Quality Index (PSQI).
The study was conducted among the student population of Jamia Millia Islamia, New Delhi, India, with due approval by the institutional ethical committee. Twenty-five poor sleepers with a mean age of 25.24±7.04 years and a BMI of 24.2±2.5 kg/m2 were recruited for the study from the university population. They were administered ISI and PSQI on test day and the same was repeated after 1 week.
The test-retest reliability for ISI (intra-class correlation coefficient, ICC2,1-0.84) was excellent. It was further established by the Bland-Altman graph and scatter plot. The results also showed that ISI (Pearson's coefficient r-0.45) had a strong positive correlation with PSQI. Internal consistency for the ISI (Cronbach's α-0.84) was excellent.
The study findings suggest that ISI has excellent internal consistency, test-retest reliability and validity for the university population of poor sleepers in India. Hence, it can prove to be a good tool for screening insomnia in the current population.
失眠严重程度指数(ISI)是一种在不同人群中广泛使用的量表,但尚未在印度受试者样本中确立其心理测量特性。本研究作为一项初步研究,旨在扩展并确认ISI在印度大学生群体中的适用性,并确立其与匹兹堡睡眠质量指数(PSQI)的相关性。
本研究在印度新德里贾米亚米利亚伊斯兰大学的学生群体中进行,并获得了机构伦理委员会的批准。从该大学人群中招募了25名睡眠不佳者,他们的平均年龄为25.24±7.04岁,体重指数为24.2±2.5kg/m²。在测试当天对他们进行ISI和PSQI评估,并在1周后重复评估。
ISI的重测信度(组内相关系数,ICC2,1 - 0.84)极佳。通过布兰德 - 奥特曼图和散点图进一步证实。结果还表明,ISI(皮尔逊系数r - 0.45)与PSQI具有强正相关。ISI的内部一致性(克朗巴哈α系数 - 0.84)极佳。
研究结果表明,ISI对于印度睡眠不佳的大学生群体具有出色的内部一致性、重测信度和效度。因此,它可被证明是当前人群中筛查失眠的良好工具。