0841 Trajectories of Sleep Quality During the Perinatal Period in the “Life-ON” Study

• Published in: Sleep (New York, N.Y.) N.Y.), 2020-05, Vol.43 (Supplement_1), p.A320-A320
• Main Authors: Garbazza, C, Castronovo, V, Sforza, M, Manconi, M
• Format: Article
• Language: English
• Subjects: Perinatal care; Sleep
• ISSN: 0161-8105; 1550-9109
• DOI: 10.1093/sleep/zsaa056.837

Abstract Introduction The perinatal period is characterized by poor sleep quality, with a worsening trend across pregnancy, peaking in the first month after delivery and often persisting during the postpartum. Consequences of perinatal sleep problems range from negative obstetric outcomes, to mood disturbances in the mothers and neurobehavioral deficits in the infants. Therefore, an early identification of at-risk women is highly relevant. Methods As part of the “Life-ON” project, a multicenter study on sleep and mood changes during the perinatal period, 120 women (aged 36.31±4.21 years) were repeatedly evaluated with the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Edinburgh Postnatal Depression Scale (EPDS) and Montgomery-Åsberg Depression Rating Scale (MADRS), from the first gestational trimester (baseline) to 12-months postpartum. Using latent class analysis (LCA) we identified different subtypes according to baseline evaluation and analyzed their distinct trajectories of sleep quality based on PSQI. Results We chose 3 latent classes that were statistically different in all scales at baseline (p5 throughout the perinatal period (first trimester=8.00±3.26; second trimester=8.26±3.41; third trimester=8.39±3.90; 20-days postpartum=8.39±3.33; 3-months postpartum=7.96±3.6; 6-months postpartum=7.35±3.79; 12-months postpartum=6.83±3.35). Conclusion We identified a latent class of women with a stable-high poor sleep quality (PSQI>5) across the perinatal period. Determining baseline sleep and mood characteristics in early pregnancy can help predicting distinct sleep trajectory subgroups in the perinatal period and detecting at-risk women, who should be targeted by early preventive and therapeutic interventions. Support The “Life-ON” project is supported by the Swiss National Science Foundation (grant: 3