Factors associated with sleep quality during first and second trimester in Chinese pregnant woman
10.3760/cma.j.cn112338-20190801-00572
- VernacularTitle:我国孕妇孕早、中期睡眠质量及其影响因素
- Author:
Shuya CAI
1
;
Yahui FENG
;
Yawen WANG
;
Sansan WU
;
Yongle ZHAN
;
Shuai MA
;
Zhongzhou SHEN
;
Yingjie SHI
;
Yunli CHEN
;
Liangkun MA
;
Yu JIANG
Author Information
1. 中国医学科学院/北京协和医学院公共卫生学院，北京 100730
- Keywords:
Pregnancy;
First trimester;
Second trimester;
Sleep quality;
Pittsburgh sleep quality index
- From:
Chinese Journal of Epidemiology
2020;41(5):711-715
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate sleep quality in pregnant women during their first and second trimester and to identify risk factors.Methods:Data was from the Chinese Pregnant Women Cohort Study. A total of 3 618 pregnant women were included, with the exclusion 346 women who had missing information. Sociodemographic, health-related behavior, depression and sleep quality information were collected and analyzed. Logistic regression analysis were used to explore the influencing factors of sleep quality in pregnant women.Results:Among the 3 618 pregnant woman 28.2% had poor sleep quality in their first trimester and 28.7% in the second trimester. 15.2% pregnant women had progressively worse sleep and 13.0% had persistently poor sleep had pregnant women were generally suffered from poor sleep quality, difficulty falling asleep, sleep disorders and daily fatigue. Regular diet ( OR=0.75, 95% CI: 0.62-0.92) and work ( OR=0.84,95% CI: 0.71-0.99) in the first trimester were protective factors of sleep quality in pregnant women. Age ≥30 year old ( OR=1.19, 95% CI: 1.03-1.37), passive smoking ( OR=1.18, 95% CI: 1.02-1.36) and depression ( OR=2.25, 95% CI: 1.95-2.61) in the first trimester were risk factors. Conclusions:The rate of poor sleep quality are high among Chinese pregnant woman during their first and second trimester. The risk factors of sleep quality are multiple. Regular diet and work, reduction of tobacco exposure, alleviation of depression symptom may help improve sleep quality among pregnant women.
