Sleep trajectory during pregnancy in patients receiving assisted reproductive technology and its influencing factors
10.3760/cma.j.cn115682-20240417-02112
- VernacularTitle:辅助生殖技术助孕患者妊娠期睡眠发展轨迹及影响因素分析
- Author:
Wenlian LI
1
;
Lin RAO
;
Xuan ZHOU
;
Hong LI
Author Information
1. 上海交通大学医学院附属国际和平妇幼保健院护理部，上海 200030
- Publication Type:Journal Article
- Keywords:
Assisted reproductive technology;
Sleep quality;
Trajectory;
Latent class growth model;
Influencing factor
- From:
Chinese Journal of Modern Nursing
2025;31(10):1307-1313
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the sleep trajectory during pregnancy and its influencing factors in patients receiving assisted reproductive technology (ART) .Methods:Convenience sampling was used to select 1 249 patients with ART who underwent prenatal checkups at the International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University from May 2017 to January 2022 as study subjects. The patients' sleep quality was assessed using the Pittsburgh Sleep Quality Index at 12 to 14 weeks of gestation (T1), 22 to 24 weeks of gestation (T2), and 32 to 34 weeks of gestation (T3), respectively. The latent class growth model was applied to explore the trajectory of sleep during pregnancy in patients receiving ART, and multicategorical Logistic regression were used to analyze the factors influencing the trajectory of sleep.Results:A total of 1 249 questionnaires were distributed and 1 090 valid questionnaires were finally recovered, with a validity rate of 87.27% (1 090/1 249). There were three types of sleep trajectories during pregnancy in 1 090 patients receiving ART, including sleep improvement group (7.89%, 86/1 090), sleep deterioration group (7.43%, 81/1 090), and good sleep group (84.68%, 923/1 090). Multicategorical Logistic regression analysis showed that age, annual household income, aspirin use before embryo transfer, vomiting, secondhand smoke exposure, anxiety, and depression were influencing factors of the sleep trajectory in patients with ART ( P<0.05) . Conclusions:There are differences in sleep quality during pregnancy among patients with ART. Healthcare professionals can intervene based on the influencing factors to improve sleep quality during pregnancy.
