Sleep Duration and Quality in Pregnant Women: A Cross-Sectional Survey in China

Xu, Xianglong; Liu, Dengyuan; Zhang, Zhangyi; Sharma, Manoj; Zhao, Yong

doi:10.3390/ijerph14070817

Cited by 55 publications

(32 citation statements)

References 39 publications

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“…8 However, the percentage of sleep disorder and sleep disturbances are more in the third trimester of pregnancy. 9 To our dismay, a change in sleep pattern is associated with adverse pregnancy outcomes both in the Venugopal L et al Int J Res Med Sci. 2018 Oct;6 (10): [3197][3198][3199][3200][3201] International Journal of Research in Medical Sciences | October 2018 | Vol 6 | Issue 10 Page 3198 mother and foetus.…”

Section: Introductionmentioning

confidence: 89%

A study on assessment of sleep quality in south Indian pregnant women

2018

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Background: Sleep disturbances are common during pregnancy. The risk of sleep disturbances is estimated to be two times higher in the later part of pregnancy compared to the early trimester. Thus, the present study was planned to assess the sleep quality in different trimesters of South Indian pregnant women.Methods: This was a descriptive cross-sectional questionnaire-based study. A total of 90 healthy pregnant women with a mean age of 25 years were recruited and sleep quality was assessed using a standardized PSQI questionnaire. Mean global PSQI score of ≥5 is suggestive of poor sleep quality. A p value <0.05 was considered statistically significant.Results: Subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medications and daytime medication were found to be significantly higher in the second and third trimester (p<0.0001) pregnant women. Mean global PSQI score was ≥5 in the third trimester pregnant women.Conclusions: The present study shows that the sleep quality is disturbed during pregnancy and it is more in the third trimester of pregnancy. Pregnant women should be aware of the effects of sleep deprivation and adverse outcomes related to it. Thus, proper identification of sleep disturbances and a good awareness on the cumulative effects of the risk factors associated with sleep deprivation during pregnancy will help the physicians to manage and prevent the adverse maternal and fetal outcomes.

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Section: Introductionmentioning

confidence: 89%

A study on assessment of sleep quality in south Indian pregnant women

2018

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“…Self-reported quality of sleep [ 33 ] was asked in the following manner: “What is your quality of sleep during the pregnancy?” Response options were very good, good, average, poor, and very poor. Therefore, during data analysis, quality of sleep was divided into three categories: very good or good, average, and poor or very poor.…”

Section: Behavioral Factorsmentioning

confidence: 99%

“…Self-reported secondhand smoke exposure frequency per week [ 33 ] was divided into no exposure, daily, four to six days per week, and one to three days per week. Currently smoking [ 34 ] was defined as those who smoke during pregnancy.…”

Section: Behavioral Factorsmentioning

confidence: 99%

Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China

Liu

et al. 2017

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Objectives: This study aimed to identify the prevalence of gestational diabetes mellitus (GDM) and to examine its associations with social and behavioral factors, maternal body mass index (BMI), anemia, and hypertension. Methods: A cross-sectional analysis was performed on data collected from 2345 pregnant women from 16 hospitals in five selected provinces in mainland China. Results: Prevalence of GDM was as follows: overall: 3.7%; pregnant women in the first pregnancy: 3.4%; pregnant women in the second pregnancy: 4.6%. Compared with early pregnancy women, late-stage pregnant women were more likely to have GDM (OR = 4.32, 95% CI (1.82, 10.27)). Compared with 18–25 years old pregnant women, women aged 36–45 years were more likely to have GDM (OR = 3.98, 95% CI (1.41, 11.28). Compared with non-hypertensive patients, hypertensive patients were more likely to have GDM (OR = 6.93, 95% CI (1.28, 37.64)). However, second pregnancy, high maternal BMI, prolonged screen time (TV-viewing time, computer-using time, and mobile-phone using time), insufficient and excessive sleep duration, poor sleep quality, smoking, and secondhand smoke exposure were not significantly associated with an increased risk of GDM. Conclusions: Women in the second pregnancy do not appear to predict an increased risk for developing GDM than women in the first pregnancy. High-risk groups of GDM included women in their late pregnancy, aged 36–45 years old, and with hypertension. The findings will contribute to an improved understanding of social and behavioral determinants of GDM in Chinese population and contribute to the development of health-prevention promotion interventions to address GDM.

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“…Pregnant women with siblings tended to have prolonged TV and computer viewing times. This scenario may indicate the positive influence of siblings on pregnant women in prolonged TV and computer viewing times, and a previous study has also found the influence of siblings on the insufficient sleep of pregnant women in China [ 39 ]. Future studies should focus on pregnant women with siblings and explore the influence of siblings on their family members regarding prolonged screen viewing times and other related health behaviors.…”

Section: Discussionmentioning

confidence: 86%

Prolonged Screen Viewing Times and Sociodemographic Factors among Pregnant Women: A Cross-Sectional Survey in China

Liu

Rao

et al. 2018

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Objectives: This study aimed to assess the prevalence of prolonged television, computer, and mobile phone viewing times and examined related sociodemographic factors among Chinese pregnant women. Methods: In this study, a cross-sectional survey was implemented among 2400 Chinese pregnant women in 16 hospitals of 5 provinces from June to August in 2015, and the response rate of 97.76%. We excluded women with serious complications and cognitive disorders. The women were asked about their television, computer, and mobile phone viewing during pregnancy. Prolonged television watching or computer viewing was defined as spending more than two hours on television or computer viewing per day. Prolonged mobile phone viewing was watching more than one hour on mobile phone per day. Results: Among 2345 pregnant women, about 25.1% reported prolonged television viewing, 20.6% reported prolonged computer viewing, and 62.6% reported prolonged mobile phone viewing. Pregnant women with long mobile phone viewing times were likely have long TV (Estimate = 0.080, Standard Error (SE) = 0.016, p < 0.001) and computer viewing times (Estimate = 0.053, SE = 0.022, p = 0.015). Pregnant women with long TV (Estimate = 0.134, SE = 0.027, p < 0.001) and long computer viewing times (Estimate = 0.049, SE = 0.020, p = 0.015) were likely have long mobile phone viewing times. Pregnant women with long TV viewing times were less likely to have long computer viewing times (Estimate = −0.032, SE = 0.015, p = 0.035), and pregnant women with long computer viewing times were less likely have long TV viewing times (Estimate = −0.059, SE = 0.028, p = 0.035). Pregnant women in their second pregnancy had lower prolonged computer viewing times than those in their first pregnancy (Odds Ratio (OR) 0.56, 95% Confidence Interval (CI) 0.42–0.74). Pregnant women in their second pregnancy were more likely have longer prolonged mobile phone viewing times than those in their first pregnancy (OR 1.25, 95% CI 1.01–1.55). Conclusions: The high prevalence rate of prolonged TV, computer, and mobile phone viewing times was common for pregnant women in their first and second pregnancy. This study preliminarily explored the relationship between sociodemographic factors and prolonged screen time to provide some indication for future interventions related to decreasing screen-viewing times during pregnancy in China.

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Sleep Duration and Quality in Pregnant Women: A Cross-Sectional Survey in China

Cited by 55 publications

References 39 publications

A study on assessment of sleep quality in south Indian pregnant women

A study on assessment of sleep quality in south Indian pregnant women

Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China

Prolonged Screen Viewing Times and Sociodemographic Factors among Pregnant Women: A Cross-Sectional Survey in China

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