Determinants of sleep quality among pregnant women in China: A cross-sectional survey

Ying, Yibin; Mao, Jing; Ye, Zhiying; Li, Jie; Zhao, Huimin; Liu, Yueting

doi:10.15761/npc.1000152

Cited by 35 publications

(20 citation statements)

References 28 publications

(40 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It means that there is no relationship between the age of pregnant women and sleeps quality. This is different from a study by Yang et al [29] which showed tht the sleep quality was declined as age growths among pregnant women.…”

Section: Relationship Between Characteristic Anxiety and Lbp Witcontrasting

confidence: 99%

The Factors Influencing Sleep Quality of Pregnant Women in Yogyakarta, Indonesia

Astuti¹,

Afsah²

2019

Proceedings of the Third International Conference on Sustainable Innovation 2019 – Health Science and Nursing (IcoSIHSN 2019)

View full text Add to dashboard Cite

Most of the pregnant women had sleep disorders during pregnancy. The factors that can cause sleep disorder are physical and physiological adaptation. This study aimed to identify sleep quality experienced by pregnant women and factors associated with it. A cross-sectional study was designed to collect the data from 161 pregnant women who are not having a complication during pregnancy and complete the questionnaire. The data were taken by purposive sampling in primary health care Kasihan 1 Tamantirto Bantul Yogyakarta. The data were collected through Pittsburgh Sleep Quality Index (PSQI), Zung-Self Rating Anxiety Scale (ZSAS), and Numerical Rating Scale (NRS), then analyzed using Chi-square and multiple logistic regressions. The majority of the respondent had poor sleep quality (78,9%), and factors that related to sleep quality are anxiety and low back pain. Health care should pay attention to anxiety and low back pain in pregnant women and provide some educations to prevent and treat anxiety and low back pain during pregnancy

show abstract

Section: Relationship Between Characteristic Anxiety and Lbp Witcontrasting

confidence: 99%

The Factors Influencing Sleep Quality of Pregnant Women in Yogyakarta, Indonesia

Astuti¹,

Afsah²

2019

Proceedings of the Third International Conference on Sustainable Innovation 2019 – Health Science and Nursing (IcoSIHSN 2019)

View full text Add to dashboard Cite

show abstract

“…As demonstrated by a previous study, it seemed that pregnant women need more daytime nap, nearly twice the frequency of nonpregnant women (1.80 vs. 0.94 naps per week) (Okun & Coussons‐Read, ). Given the substantial degree of sleep deprivation/disruption during pregnancy (Okun & Coussons‐Read, ; Yang et al, ), we speculate that daytime nap among pregnant women may be a compensatory strategy to the poor sleep. As expected, two prospective studies obtained a relatively consistent result that daytime nap during pregnancy was a beneficial action to offset the disturbed sleep, with a minimal negative impact on nocturnal sleep (Ebert et al, ; Tsai, Lin, Kuo, Lee, & Landis, ).…”

Section: Discussionmentioning

confidence: 88%

“…Sleep is a major physiological process, which may serve important functions including energy restoration, metabolic regulation, immune enhancement, and so forth (Krueger, Frank, Wisor, & Roy, ). Due to the hormone‐related physiological changes in immunity and metabolism, poor sleep, characterized by chronic sleep deprivation and sleep disorders, was highly prevalent in pregnant women (Wilkerson & Uhde, ; Yang et al, ). As suggested by studies, poor sleep has potentially increased the risk of pregnancy complications, such as gestational diabetes mellitus and pregnancy‐induced hypertension (Li, Zhao, Hua, & Li, ; Palagini et al, ; Wilkerson & Uhde, ).…”

Section: Introductionmentioning

confidence: 99%

Exploring associations of maternal sleep during periconceptional period with congenital heart disease in offspring

Zhao

Xia

et al. 2019

Birth Defects Research

View full text Add to dashboard Cite

Background: In general, the existing evidence points to a role for maternal sleep in pregnancy complications and fetal growth, however, little has been focused on birth defects. We aimed to explore the association between periconceptional poor sleep and the risk of congenital heart disease (CHD), and to examine if daytime napping could to some extent change the association. Methods: A case-control study was conducted in Shanghai Children's Medical Center, in which, a total of 524 cases (262 simple CHD vs. 262 severe CHD), along with 262 controls. Results: In the multivariable logistic analysis, poor sleep could increase the risk of both simple CHD (OR = 2.486, 95% CI = 1.619-3.818) and severe CHD (OR = 1.950, 95% CI = 1.269-2.997), while routine daytime nap could decrease risk of simple CHD (OR = 0.634, 95% CI = 0.435-0.923). In the stratified analysis, the concurrence with routine daytime nap could weaken the risk of simple CHD caused by poor sleep (OR = 3.183, 95% CI: 1.830-5.537 decreased to OR = 2.236, 95% CI: 1.200-4.165). The examinations were repeated in ventricular septal defect and tetralogy of Fallot, and the established associations can be verified. Moreover, all these findings were also similarly observed in both propensityscore-adjusted and propensity-score-matched analyses. Conclusions: Poor maternal sleep around periconceptional period seems to be an independent risk factor for CHD. The concurrence with daytime nap could to some extent reduce the risk in simple CHD. The results individually and collectively put forward the importance of maternal sleep in embryonic heart development. K E Y W O R D S case-control study, congenital heart disease, daytime nap, maternal sleep, pregnancy Anda Zhao and Kena Zhao contributed equally to this work.

show abstract

“…Sleep disturbances are common during pregnancy and are the risk factors of adverse pregnancy outcomes such as prenatal depression, gestational diabetes, and preterm birth [11], [16], [38], [39]. Also, many women suffer from acute sleep deprivation during the postpartum period, and compromised sleep may continue even several months after birth [39].…”

Section: A Maternal Health and Sleep Monitoringmentioning

confidence: 99%

Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study

et al. 2019

View full text Add to dashboard Cite

Sleep is a composite of physiological and behavioral processes that undergo substantial changes during and after pregnancy. These changes might lead to sleep disorders and adverse pregnancy outcomes. Several studies have investigated this issue; however, they were restricted to subjective measurements or short-term actigraphy methods. This is insufficient for a longitudinal maternal sleep quality evaluation. A longitudinal study: 1) requires a long-term data collection approach to acquire data from everyday routines of mothers and 2) demands a sleep quality assessment method exploiting a large volume of multivariate data to assess sleep adaptations and overall sleep quality. In this paper, we present an Internet-of-Things-based long-term monitoring system to perform an objective sleep quality assessment. We conduct longitudinal monitoring, where 20 pregnant mothers are remotely monitored for six months of pregnancy and one month postpartum. To evaluate sleep quality adaptations, we: 1) extract several sleep attributes and study their variations during the monitoring and 2) propose a semi-supervised machine learning approach to create a personalized sleep model for each subject. The model provides an abnormality score, which allows an explicit representation of the sleep quality in a clinical routine, reflecting possible sleep quality degradation with respect to her own data. Sleep data of 13 participants (out of 20) are included in our analysis, as their data are adequate for the study, including 172.15±33.29 days of sleep data per person. Our fine-grained objective measurements indicate that the sleep duration and sleep efficiency are deteriorated in pregnancy and notably in postpartum. In comparison to the mid of the second trimester, the sleep model indicates the increase of sleep abnormality at the end of pregnancy (2.87 times) and postpartum (5.62 times). We also show that the model enables individualized and effective care for sleep disturbances during pregnancy, as compared to a baseline method.

show abstract

Determinants of sleep quality among pregnant women in China: A cross-sectional survey

Cited by 35 publications

References 28 publications

The Factors Influencing Sleep Quality of Pregnant Women in Yogyakarta, Indonesia

The Factors Influencing Sleep Quality of Pregnant Women in Yogyakarta, Indonesia

Exploring associations of maternal sleep during periconceptional period with congenital heart disease in offspring

Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study

Contact Info

Product

Resources

About