Sleep Hygiene and Sleep Quality of Third-Trimester Pregnant Women

Effects of sleep quality in early pregnancy on pregnancy outcomes and mood state

PURPOSE

To clarify the relationship between quality of sleep and pregnancy outcomes and to explore how sleep quality affects mood state in the first trimester of pregnancy.

METHODS

This prospective cohort study enrolled pregnant women from June 2020 to June 2021. Maternal sleep conditions, daytime sleepiness, and mood state in the first trimester were assessed using four Chinese self-rating scales, namely, the Pittsburgh Sleep Quality Index (PSQI), the Sleep Hygiene Practice Scale (SHPS), Epworth Sleepiness Scale (ESS), and the abbreviated version of the Profile of Mood States (a-POMS). Participants were divided into an exposed group (PSQI score > 5, poor sleep quality group) and a non-exposed group (PSQI score ≤ 5, good sleep quality group). Maternal characteristics, pregnancy outcomes, and the relationship among sleep quality, sleepiness, and mood state were analyzed. Comparisons of sleep hygiene behavior variables between the two subgroups were also analyzed.

RESULTS

A total of 2703 pregnant women were enrolled in the study. Poor sleep quality increased the probability of gestational diabetes mellitus (GDM) (1.573, 1.315-1.863), liver function damage (1.467, 1.021-2.107), preterm delivery (1.468, 1.077-2.002), mild sleepiness (1.612, 1.357-1.915), and excessive sleepiness (2.134, 1.686-2.701). Poor maternal sleep quality was significantly associated with the occurrence of preterm premature rupture of membranes (1.947, 1.168-3.243) and perinatal death (1.003, 1.000-1.006). Additionally, a significant positive correlation between the PSQI score and the total mood disturbance (TMD) score was revealed by Spearman's correlation analysis (r = 0.378, P < 0.01). Enter Regression analysis demonstrated that sleep quality (R2 = 0.390, P < 0.01) and sleepiness (R2 = 0.234, P < 0.01) exerted significant direct effects on mood state during pregnancy. Furthermore, Spearman's correlation analysis indicated a positive association between the PSQI score and the SHPS total score (r = 0.227, P < 0.01).

CONCLUSIONS

Poor sleep quality is significantly associated with elevated rates of maternal mood disturbances, obstetric complications, and adverse outcomes in infants. The findings suggest that it may be useful to provide comprehensive sleep assessment and education on sleep hygiene during the early stages of pregnancy.

The effect of maternal sleep quality in late pregnancy on prenatal, birth and early postnatal outcomes

This cross-sectional study investigated the effect of maternal sleep quality in late pregnancy on prenatal, birth and early postnatal outcomes. The research was conducted in three parts with women at 28 or more weeks of gestation. In the first part, pregnant women admitted for delivery were evaluated in terms of eligibility criteria. Pregnant women in the latent phase of labour completed the Prenatal Questionnaire. In the second part, labour follow-up was performed. The researchers completed the Birth Follow-up Questionnaire based on observations and hospital birth records. In the third part, mothers were interviewed between the 12th and 24th hour of postnatal. Participants filled out the Postnatal Questionnaire, the Childbirth Experience Questionnaire, and the Pittsburgh Sleep Quality Index (n = 385). The data were analysed using the chi-square independence test, Fisher test, independent samples t-test, effect sizes, and binary logistic regression analysis. Participants had a mean maternal sleep quality score of 4.00 ± 1.38. They slept for 7.53 ± 0.92 hr on average. One-third of the participants were poor sleepers (32.2%). Employed participants were 71.6% less likely to have poor maternal sleep quality than their non-employed counterparts (odds ratio = 0.29, 95% confidence interval: 0.13-0.62; p = 0.002). The odds of poor maternal sleep quality increased by 13.7% when maternal weight gain during pregnancy increased by 1 kg (odds ratio = 1.14, 95% confidence interval: 1.03-1.26; p = 0.014). Increased maternal sleep quality positively affected the birth process (p < 0.05). Healthcare professionals should routinely screen the maternal sleep quality of pregnant women and increase their sleep hygiene.

Sleep Quality and Associated Factors among Pregnant Women Attending Antenatal Care Unit at the Referral Hospitals in Oromia National Regional State, Ethiopia, 2021: A Multicenter Cross-Sectional Study

INTRODUCTION

Poor sleep quality during pregnancy leads to adverse neonatal outcomes such as low birth weight, intrauterine growth retardation, preterm birth, and operative birth. Though it has many consequences, a limited study was conducted on the prevalence and associated factors of poor sleep quality among pregnant women in Ethiopia.

OBJECTIVE

This study is aimed to determine poor sleep quality and associated factors among pregnant women attending antenatal care units at the selected referral hospitals.

METHODS

Institution-based cross-sectional study was used from April 20 to June 10, 2021. A The data were collected through systematic random sampling. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the outcome variable based on interview.

RESULTS

Out of 423, almost 414 participated in the study with a response rate of 97.9%. The prevalence of poor sleep quality was 54.6% (95% CI: 49.7%, 59%). Based on the trimester; about 44.8%, 36.8%, and 64.2% were observed poor sleep quality in the first, second, and third trimesters, respectively. Third trimester [AOR (Adjusted Odd Ratio) = 4.33; 95% CI (Confidence Interval) (1.43, 13.7)], primigravida [AOR = 4.03; 95% CI (2.59, 7.97)], para ≥2 [AOR = 1.95: 95% CI (1.09, 3.48)], depression [AOR = 4.59: 95% CI (2.31, 9.15)], and perceived stress [AOR = 1.15: 95% CI (1.1, 1.22)] were factors significantly associated.

CONCLUSION

One in every two pregnant women has poor sleep quality. Depression, perceived stress, gestational age, gravida, and parity were identified as associated factors with poor sleep quality. Therefore, healthcare providers should work on screening and counseling for sleep problems during prenatal checkups.

Study on the sleep quality of women pregnant with a second child and the influencing factors

Objectives

To investigate the sleep quality of women pregnant with a second child and the influencing factors and provide a scientific basis for health care guidance to clinically improve the sleep quality of pregnant women.

Methods

A total of 162 women pregnant with a second child at a first-class tertiary hospital in Changsha from January to August 2018 were selected as the research subjects. General demographic characteristics were collected, and the Pittsburgh Sleep Quality Index (PSQI) scale was used to assess their sleep quality. Multivariate logistic regression analysis was used to explore the influencing factors of the sleep quality of women pregnant with a second child.

Results

The PSQI score (except hypnotic drugs) and total score of pregnant women with second birth were higher than those of normal female population, and the difference was statistically significant (P < 0.05). Univariate analysis showed statistically significant differences in sleep quality among women pregnant with a second child of different ages, marital relationships, gender expectations, education levels, monthly family incomes, planned or unplanned pregnancy, and gestational weeks (P < 0.05). The results of the multi-factor analysis showed that the low education level (OR = 0.224, P = 0.001), low family monthly income (OR = 3.035, P = 0.014), expectation of gender (OR = 0.065, P = 0.038), and dissatisfaction with marital relationship (OR = 0.275, P = 0.001) were the primary risk factors of poor sleep quality of in women with second pregnant.

Conclusions

The overall sleep quality of women pregnant with a second child is poor, and 37.65% have sleep quality problems. Low education levels, low family monthly incomes, fetal gender expectations, and poor relationship between husband and wife are the main factors affecting the sleep quality of women pregnant with a second child. Pregnant women with the above factors should pay attention to their sleep quality and take necessary measures for intervention and guidance to improve the level of health care during pregnancy.

The association between physical activity and sleep during pregnancy: a systematic review

OBJECTIVES

Pregnant women frequently report experiencing poor sleep. Poor sleep during pregnancy is associated with negative health outcomes for both mother and baby. Physical activity (PA), including exercise may be an effective non-pharmacological strategy for improving sleep during pregnancy. The aim of this systematic review was to synthesize the current literature on the association between physical activity (including exercise) and sleep during pregnancy.

METHOD

A systematic online search was undertaken between 15-16 February 2022 in PsycINFO, CINAHL, Embase and PubMed. To meet the inclusion criteria articles had to; [1] be published in a peer reviewed journal; [2] consist of pregnant participants; and [3] be published in English. Studies were excluded if they were not published in English and did not investigate the association between a type of physical activity (including exercise) and a sleep variable during a trimester of pregnancy.

RESULTS

Ten studies were included in this review. Five of the ten studies used observational data collection measures and the remaining five used intervention based methods. Eight of the ten included studies found PA (including exercise) was positively associated with sleep during pregnancy.

CONCLUSION

In order to properly establish PA as a strategy to improve sleep during pregnancy, future research should aim to determine the PA characteristics most beneficial to sleep during pregnancy across each trimester.

Sleep patterns and intraindividual sleep variability in mothers and fathers at 6 months postpartum: a population-based, cross-sectional study

OBJECTIVES

Given that postpartum sleep is an important family process, further investigations including both mothers and fathers are necessary. The present study aimed to describe and compare sleep patterns and intraindividual night-to-night variability in mothers and fathers at 6 months postpartum using subjective and objective sleep measures.

DESIGN

Cross-sectional study.

SETTING

General community-based study in Montreal, QC, Canada.

PARTICIPANTS

Thirty-three couples (mothers and fathers) with no self-reported history of medical and mental health conditions participated in this study.

RESULTS

Parental sleep was measured across 10 consecutive nights using both a daily sleep diary and actigraphy. Results demonstrated that mothers' subjective and objective sleep was more fragmented compared with fathers (shorter longest consecutive sleep duration and more nocturnal awakenings; p<0.001). While mothers and fathers did not differ in their self-reported nocturnal sleep duration (p>0.05), actigraphy indicated that mothers obtained significantly longer nocturnal sleep duration (448.07 min±36.49 min) than fathers (400.96 min±45.42 min; p<0.001). Intraindividual sleep variability was revealed by relatively high coefficients of variation for parents across both subjective and objective indices related to sleep fragmentation (between 0.25 and 1.32). Actigraphy also demonstrated variability by mothers sleeping 6 hours consecutively on less than 3 nights, 27.27% (±22.81), and fathers on less than 6 nights, 57.27% (±24.53), out of 10. Associations were also found between parental sleep and family factors, such as age and infant sleep location (p<0.05).

CONCLUSIONS

These findings advance our knowledge of how sleep unfolds within the family system beyond the early postpartum weeks and/or months. Given the link between disturbed sleep and family functioning, the current research accentuates the importance of examining postpartum sleep patterns and variability in parents.

Sleep quality and associated factors among pregnant women attending antenatal care at Jimma Medical Center, Jimma, Southwest Ethiopia, 2020: cross-sectional study

BACKGROUND

Sleep is a natural physiological process vital for the physical and mental wellbeing of pregnant women and their fetuses. Even though poor sleep quality is a common problem among pregnant women, it is not studied in developing countries including Ethiopia. Therefore, this study was aimed to assess the poor sleep quality and associated factors among pregnant women attending antenatal care at Jimma medical center, Jimma, Southwest Ethiopia, 2020.

METHODS

A cross-sectional study design was conducted among 415 pregnant women at Jimma Medical Center (JMC). The study subjects were selected using a systematic random sampling technique. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality using face-to-face interviews. SPSS version 25 was used to analyze data. Bivariate and multivariable logistic regressions were done to identify factors related to sleep quality. In multivariable logistic regression variables with a p-value less than 0.05 was considered significant and, adjusted OR (AOR) with 95% CI was used to present the strength of the association.

RESULTS

The prevalence of poor sleep quality among pregnant women was found to be 30.8% (95% CI (26.5, 35.2). In multivariable analysis, age ≥ 30 years old (AOR = 1.94;95%CI:1.03,3.66), Multigravida (AOR = 1.90;95%CI:1.90,3.32),depression (AOR = 4.26;95%CI:2.54,7.14),stress (AOR = 1.85;95%CI:1.20,3.02) were variables significantly associated with poor sleep quality.

CONCLUSION

This study found a high prevalence of poor sleep quality among pregnant women. Older age, gravidity, depression, and stress were associated with poor sleep quality. It is better to have routine sleep pattern screening and teach sleep hygiene practice for pregnant women.

The Preliminary Efficacy of a Sleep Self-management Intervention Using a Personalized Health Monitoring Device during Pregnancy

Background: Sleep disturbances are common during pregnancy and are associated with the development of adverse pregnancy outcomes. Personal health monitors (PHM) can facilitate change in health behaviors, though few studies have examined their use in improving sleep during pregnancy. This pilot study aimed to characterize sleep changes during pregnancy in women participating in a self-management intervention using a PHM.Participants/Methods: Participants with low risk, singleton pregnancies from Western Massachusetts were randomized at 24 weeks gestation to receive sleep education only (n = 12) or sleep education, and PHM intervention (n = 12). The single-session sleep education was given at baseline by a registered nurse. Sleep quality, duration, efficiency, disturbances, daytime sleepiness, and fatigue were assessed at baseline and 12 weeks follow-up using questionnaires. We described mean ± standard deviation within and between-group changes in each sleep outcome from baseline to 12 weeks follow-up.Results: The PHM arm experienced larger sleep quality improvements and daytime sleepiness than the sleep-education only arm, but the differences were not statistically significant. In the PHM arm, the Pittsburgh Sleep Quality Index (PSQI) score decreased (i.e., sleep quality increased) 1.22 ± 2.39 (p = .16), and the Epworth Sleepiness Scale (ESS) score decreased (i.e., daytime sleepiness decreased) 1.11 ± 2.08 (p = .15). In the sleep-education arm PSQI decreased 0.57 ± 2.37 (p = .55) and ESS decreased 1.29 ± 2.93 (p = .29). Neither group experienced statistically significant changes in sleep duration, efficiency, disturbances, or fatigue.Conclusion: Sleep education with PHM may improve or prevent decreases in sleep outcomes during pregnancy. Further investigation in larger trials is warranted.

Prevalence of Poor Sleep Quality in Perinatal and Postnatal Women: A Comprehensive Meta-Analysis of Observational Studies

BACKGROUND

Sleep disturbance is common in perinatal and postnatal women, but the epidemiology of sleep problems is highly variable in these populations. This was a meta-analysis that examined the prevalence of poor sleep quality and its correlates among perinatal and postnatal women.

METHODS

A systematic search of both international and Chinese databases (PubMed, EMBASE, PsycINFO, Web of Science, CNKI, and Wangfang) was performed. Studies with data on sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI) were included.

RESULTS

Forty-two studies were included for analyses. The prevalence of poor sleep quality was 54.2% (95% CI: 47.9-60.5%) in perinatal and postnatal women, with 44.5% (95% CI: 37.6-51.6%) in perinatal women and 67.2% (95% CI: 57.6-75.5%) in postnatal women. The pooled total PSQI score was 7.54 ± 0.40 (95% CI: 6.75-8.33), while the average PSQI component scores varied from 0.13 ± 0.04 for use of sleeping medication to 1.51 ± 0.17 for habitual sleep efficiency. Maternal age, study site, survey year, comorbidity, PSQI cut-off value, and quality assessment score had significant moderating effects on the prevalence of poor sleep quality.

CONCLUSION

Given the negative impact of poor sleep quality on health outcomes and well-being, regular screening for poor sleep quality and effective interventions should be conducted for this population.

Physical Activity and Sleep Quality and Duration During Pregnancy Among Hispanic Women: Estudio PARTO

Objective/Background: Poor sleep during pregnancy is common and is associated with pregnancy complications. Physical activity (PA) is associated with better sleep in nonpregnant populations. However, studies among pregnant women are sparse, conflicting, and none have been conducted among Hispanic women, who face a disproportionate burden of poor sleep and pregnancy complications. Therefore, our objective was to examine the relationship between intensity- and domain-specific PA, respectively, on sleep quality and duration among Hispanic pregnant women. Participants: We evaluated these associations among participants (n = 251) in Estudio PARTO, an ongoing randomized controlled trial aimed at reducing type 2 diabetes among women at high risk. Methods: We assessed the cross-sectional relationship between PA (via Pregnancy PA Questionnaire) and sleep quality and duration (via Pittsburgh Sleep Quality Index) using baseline data (26.5 ± 6.9 weeks gestation). Results: In multivariable logistic models, household and caregiving activities were associated with higher odds of very poor sleep quality (OR = 2.69; 95% CI = 1.04 to 7.04) and with short (vs. medium) sleep duration (OR = 2.85; 95% CI = 1.07 to 7.56). In contrast, occupational PA was associated with lower odds of very poor sleep quality (OR = 0.39; 95% CI = 0.17 to 0.89). Light-intensity PA was associated with lower odds of long (vs. medium) sleep duration (OR = 0.13; 95% CI = 0.03 to 0.52). There were no statistically significant relationships between PA in any other domain and sleep. Conclusions: Prospective studies will be critical in evaluating the potential adverse impact of household and caregiving activities on poor sleep quality.

Feasibility of a Sleep Self-Management Intervention in Pregnancy Using a Personalized Health Monitoring Device: Protocol for a Pilot Randomized Controlled Trial

Background

Sleep disruptions are common during pregnancy and associated with increased risk of adverse maternal outcomes such as preeclampsia, gestational diabetes, prolonged labor, and cesarean birth. Given the morbidity associated with poor sleep, cost-effective approaches to improving sleep that can be disseminated in community or clinical settings are needed. Personal health monitor (PHM) devices offer an opportunity to promote behavior change, but their acceptability and efficacy at improving sleep in pregnant women are unknown.

Objective

The goal of the paper is to describe the protocol for an ongoing pilot randomized controlled trial that aims to establish the feasibility, acceptability, and preliminary efficacy of using a PHM device (Shine 2, Misfit) to promote sleep during pregnancy.

Methods

The proposed pilot study is a 12-week, parallel arm, randomized controlled trial. Pregnant women, at 24 weeks gestation, will be randomized at a 1:1 ratio to a 12-week sleep education plus PHM device group or a sleep education alone comparison group. The primary outcomes will be measures of feasibility (ie, recruitment, enrollment, adherence) and acceptability (ie, participant satisfaction). The secondary outcomes will be self-reported sleep quality and duration, excessive daytime sleepiness, fatigue, and depressive symptoms.

Results

Recruitment for this study began in September 2017 and ended in March 2018. Data collection for the primary and secondary aims was completed in August 2018. We anticipate that the data analysis for primary and secondary aims will be completed by December 2019. The results from this trial will inform the development of a larger National Institutes of Health grant application to test the efficacy of an enhanced version of the sleep intervention that we plan to submit in the year 2020.

Conclusions

This study will be the first to apply a PHM device as a tool for promoting self-management of sleep among pregnant women. PHM devices have the potential to facilitate behavioral interventions because they include theory-driven, self-regulatory techniques such as behavioral self-monitoring. The results of the study will inform the development of a sleep health intervention for pregnant women.

Trial Registration

ClinicalTrials.gov NCT03783663; https://clinicaltrials.gov/ct2/show/NCT03783663 (Archived by WebCite at http://www.webcitation.org/779Ou8hon)

International Registered Report Identifier (IRRID)

DERR1-10.2196/12455

Poor Sleep Quality Is Associated with Higher Hemoglobin A1c in Pregnant Women: A Pilot Observational Study

We hypothesized that poor sleep quality exacerbates glucose intolerance manifested as elevated glycosylated hemoglobin (HbA1c), which increases the risk for gestational diabetes. To test this, 38 pregnant and 22 non-pregnant (age, 18–35 years; body-mass index, 20–35 kg/m²) otherwise healthy women were enrolled in the study. Sleep quality was assessed during gestational week 24 (pregnant), or outside of the menstrual period (non-pregnant), using qualitative (Pittsburgh Sleep Quality Index) and objective (actigraphic wrist-watch) measures. Blood glucose, total cortisol, and depression status were evaluated. Eight pregnant and one non-pregnant women were lost to follow-up, or withdrew from the study. There was a higher incidence of poor sleep quality in pregnant (73%) relative to non-pregnant women (43%). Although actigraphic data revealed no differences in actual sleep hours between pregnant and non-pregnant women, the number of wake episodes and sleep fragmentation were higher in pregnant women. Poor sleep quality was positively correlated with higher HbA1c in both pregnant (r = 0.46, n = 26, p = 0.0151) and non-pregnant women (r = 0.50, n = 19, p = 0.0217), reflecting higher average blood glucose concentrations. In contrast, poor sleep was negatively correlated with cortisol responses in pregnant women (r = −0.46, n = 25, p = 0.0167). Three pregnant women had elevated one-hour oral glucose tolerance test results (>153 mg/dL glucose). These same pregnant women exhibited poor sleep quality. These results support the suggestion that poor sleep quality is an important risk factor that is associated with glucose intolerance and attendant health complications in pregnancy.

Sleep Enhancement Training for Pregnant Women

OBJECTIVE

To evaluate the feasibility and efficacy of a home-based cognitive-behavioral training program for sleep during late pregnancy.

METHODS

A nonrandomized quasiexperimental sample of nulliparous women who received the intervention during pregnancy (n=25) was compared with two control groups (n=76 and n=48) from other intervention studies at similar postintervention time points: approximately 1 month before childbirth and 1-2 months after childbirth. The home-based Sleep Enhancement Training System for Pregnancy consisted of 4 weeks of sound-enhanced audio relaxation programs, readings, and daily sleep diaries. Both control groups received dietary recommendations for improving sleep. Sleep duration (total sleep time) and sleep disruption (wake after sleep onset) were measured using wrist actigraphy for a minimum of 48 hours on consecutive weekdays.

RESULTS

The intervention group had significantly longer sleep duration and less sleep disruption than both control groups, particularly at the postpartum assessment. Intervention participants slept an average of 430 (95% confidence interval [CI] 397-464) minutes during pregnancy compared with 420 (95% CI 403-438) and 417 (95% CI 395-439) minutes for the two control groups. At the postpartum assessment, the intervention group slept 446 (95% CI 415-478) minutes compared with 390 (95% CI 373-408) and 370 (95% CI 348-393) minutes for those in the control groups. In terms of sleep disruption, women in the intervention group had 16.1% (95% CI 11.9-20.2%) wake after sleep onset during pregnancy, whereas women in the control groups had 13.4% (95% CI 11.2-15.5%) and 20.4% (95% CI 17.7-23.0%). Postpartum, the intervention group had 20.3% (95% CI 16.4-24.1%) wake after sleep onset compared with 26.6% (95% CI 24.5-28.8%) and 28.7% (95% CI 26.0-31.5%) among women in the control groups. Participant feedback about the intervention was generally positive, although intervention adherence was variable.

CONCLUSION

This study provides evidence of the feasibility and efficacy of the Sleep Enhancement Training System for Pregnancy intervention for enhancing sleep that typically worsens during late pregnancy and after childbirth.