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Sleep heterogeneity in the third trimester of pregnancy: Correlations with depression, memory impairment, and fatigue
Xuan Zhang1, Danfeng Cao2, Jiwei Sun1
1School of Nursing and Rehabilitation, Shandong University, No.44 Wenhua Xi Road, Jinan, Shandong Province 250012, China.
This study aimed to identify sleep subtypes during pregnancy using a person-centered method, explore the underlying factors of these subtypes, and investigate the associations of these subtypes with depression, memory impairment, and fatigue. Accordingly, self-report measures were administered to 1,825 pregnant women to assess demographics, prenatal factors, childhood trauma, personality traits, sleep problems, depression, memory impairment, and fatigue. Data were analyzed using latent class analysis, chi-squared tests, analysis of variance, multinomial logistical regression, and multivariate linear regression analyses. The profiles of "good sleep quality," "poor sleep efficiency," "daily disturbances," and "poor sleep quality" were identified. The results also revealed several factors underlying these subtypes that affect sleep quality: rumination, perinatal complications, high neuroticism, low resilience, history of abortion, and postgraduate education. Further, the "daily disturbances" and the "poor sleep quality" groups reported higher depression, memory impairment, and fatigue than the "good sleep quality" group. Thus, this study elucidated the heterogeneity of sleep subtypes during pregnancy in the Chinese population. Such findings may promote the development of tailored interventions for specific sleep subtypes in pregnant women.
This study aimed to identify sleep subtypes during pregnancy using a person-centered method, explore the underlying factors of these subtypes, and investigate the associations of these subtypes with depression, memory impairment, and fatigue. Accordingly, self-report measures were administered to 1,825 pregnant women to assess demographics, prenatal factors, childhood trauma, personality traits, sleep problems, depression, memory impairment, and fatigue. Data were analyzed using latent class analysis, chi-squared tests, analysis of variance, multinomial logistical regression, and multivariate linear regression analyses. The profiles of "good sleep quality," "poor sleep efficiency," "daily disturbances," and "poor sleep quality" were identified. The results also revealed several factors underlying these subtypes that affect sleep quality: rumination, perinatal complications, high neuroticism, low resilience, history of abortion, and postgraduate education. Further, the "daily disturbances" and the "poor sleep quality" groups reported higher depression, memory impairment, and fatigue than the "good sleep quality" group. Thus, this study elucidated the heterogeneity of sleep subtypes during pregnancy in the Chinese population. Such findings may promote the development of tailored interventions for specific sleep subtypes in pregnant women.
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