0115 Psychometric evaluation of the Chinese version of Sleep Health Index in pregnant women

Abstract

Abstract Introduction The aim of this study was to investigate the psychometric properties of the Chinese version of the Sleep Health Index (SHI-C) among pregnant women. Methods This study used a cross-sectional design. Pregnant women (N=264) from three public hospitals in China were recruited through a convenience sampling method. The Sleep Health Index (SHI-C) was used to measure sleep health. The Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to measure sleep quality and insomnia, respectively. Epworth Sleepiness Scale (ESS), Fatigue Assessment Scale (FAS), and Edinburgh Postnatal Depression Scale (EPDS) were used to measure daytime sleepiness, fatigue, and depression, respectively. Structural validity was assessed via confirmatory factor analysis (CFA). Concurrent and convergent validity were assessed using bivariate correlation analyses. Known-group validity was assessed by comparing the SHI-C score between different groups. Cronbach’s α was calculated for reliability. Results The sample was 30.6 years on average. CFA confirmed the three-factor structure of SHI-C. The SHI-C total and sleep quality sub-index scores had moderate to strong correlations with both PSQI (r=-0.542, p< 0.01; r=-0.648, p< 0.01) and ISI (r=-0.692, p< 0.01; r=-0.752, p< 0.01). The SHI-C total and sleep quality sub-index scores were significantly associated with ESS, FAS, and EPDS (r=-0.171 to -0.276; p< 0.01). The SHI-C total score also differed based on work status (p< 0.01), trimester (p< 0.01), coffee intake (p< 0.05), taking a nap (p< 0.05), subclinical insomnia (p< 0.01), and poor sleep quality (p< 0.01). The Cronbach’s α of the SHI-C total and the sleep quality sub-index were 0.723 and 0.806, respectively. The Cronbach's α of sleep duration and disordered sleep sub-indices were 0.594 and 0.545, respectively. Conclusion Overall, the SHI-C has good validity and acceptable reliability among the pregnant population in China. It can be a useful tool for the assessment of sleep health. More research is warranted to refine the sleep duration and disordered sleep sub-indices. Support (if any) This work was supported in part by the National Natural Science Foundation of China [71904119], and Innovation Research Team of High-Level Local Universities in Shanghai [SHSMU-ZDCX20212800]. Bingqian Zhu was supported by Shanghai Municipal Education Commission “Young Eastern Scholar” (China).