Effects of pregnancy on mothers' sleep

Sleep-wake timing and chronotype in perinatal periods: longitudinal changes and associations with insomnia symptoms, sleep-related impairment, and mood from pregnancy to 2 years postpartum

Across the perinatal transition, existing research focuses mainly on significant changes in sleep duration and quality, neglecting sleep timing. This study investigated change trajectories of sleep timing and chronotype from late pregnancy to 2 years postpartum and examined longitudinal associations of chronotype with symptoms of insomnia, daytime sleep-related impairment, and mood. Data were from a two-arm randomised controlled trial testing parent-focused wellbeing interventions. Participants were a community sample of nullipara without severe sleep/mental health conditions. Participants self-reported bedtime, rise-time, chronotype, insomnia symptoms, sleep-related impairment, depression, and anxiety at seven time points: gestation Weeks 30 and 35, and postpartum Months 1.5, 3, 6, 12 and 24. Trajectories were estimated using mixed-effects models with continuous time, quadratic splines, and a knot at childbirth, controlling for age and group allocation. A total of 163 participants (mean [SD] age 33.35 [3.42] years) took part. Bedtime and rise-times delayed during late pregnancy (~8 and ~20 min, respectively) but became progressively earlier (~20 and ~60 min, respectively) over the 2 postpartum years. Chronotype became more eveningness in late pregnancy, and more morningness after childbirth, however changes were small. Controlling for sleep duration and efficiency, greater morningness was associated with significantly less symptoms of insomnia and sleep-related impairment over time (all p < 0.001); longitudinal associations between chronotype and symptoms of depression and anxiety were non-significant (all p > 0.65). Sleep-wake timing and chronotype became progressively earlier from pregnancy to 2 years postpartum. Morningness chronotype may be sleep-protective during the transition from pregnancy to parenthood. Mechanisms underlying these associations require further research.

Sleep disturbances in late pregnancy: associations with induction of labor

PURPOSE

Sleep disturbances, which are common during pregnancy, may compromise labor. Nevertheless, little is known about associations between sleep disturbances and the likelihood of ending up induction of labor (IOL). Accordingly, we aimed to evaluate the connections between sleep disturbances during pregnancy and IOL.

METHODS

Altogether 1778 women from the FinnBrain Birth Cohort Study with gestation weeks over 37 + 6 were enrolled in the study. The women were divided into IOL (n = 331) and spontaneous onset of labor (SOL, n = 1447) groups. Sleep disturbances in late pregnancy were evaluated using the Basic Nordic Sleep Questionnaire. Logistic regression analyses were conducted with adjustments for age, body mass index, parity, smoking, and depressive symptoms.

RESULTS

Sleep disturbances were frequent in both IOL and SOL groups. In the IOL group 43.0% and in the SOL group 39.0% had poor general sleep quality (P = 0.186). Nocturnal awakenings occurred most commonly, in 94.0% and 93.9%, respectively (P = 0.653). In the IOL group, more women (22.7%) were habitual snorers than in the SOL group (17.0%, P = 0.017), however, the difference lost the statistical significance in adjusted analysis (P = 0.848). Women in the IOL group were more likely to be short sleepers (< 7 h) compared to those in the SOL group (20.2% and 15.4%, respectively, P = 0.034) with no difference after adjustment (P = 0.133). The two groups showed no differences in sleep loss (P = 0.252).

CONCLUSIONS

Deterioration in sleep quality was noticeable in pregnant women, but it was unconnected with IOL. As the frequency of IOL is increasing, more research for related risk factors is needed.

Sex and Sleep Disruption as Contributing Factors in Alzheimer's Disease

Alzheimer's disease (AD) affects more women than men, with women throughout the menopausal transition potentially being the most under researched and at-risk group. Sleep disruptions, which are an established risk factor for AD, increase in prevalence with normal aging and are exacerbated in women during menopause. Sex differences showing more disrupted sleep patterns and increased AD pathology in women and female animal models have been established in literature, with much emphasis placed on loss of circulating gonadal hormones with age. Interestingly, increases in gonadotropins such as follicle stimulating hormone are emerging to be a major contributor to AD pathogenesis and may also play a role in sleep disruption, perhaps in combination with other lesser studied hormones. Several sleep influencing regions of the brain appear to be affected early in AD progression and some may exhibit sexual dimorphisms that may contribute to increased sleep disruptions in women with age. Additionally, some of the most common sleep disorders, as well as multiple health conditions that impair sleep quality, are more prevalent and more severe in women. These conditions are often comorbid with AD and have bi-directional relationships that contribute synergistically to cognitive decline and neuropathology. The association during aging of increased sleep disruption and sleep disorders, dramatic hormonal changes during and after menopause, and increased AD pathology may be interacting and contributing factors that lead to the increased number of women living with AD.

Sleep, circadian activity patterns and postpartum depression: A systematic review and meta-analysis of actigraphy studies

Transition to motherhood is a period full of challenges and demands. In this review, we focused on the associations of sleep and circadian activity patterns during and after pregnancy with postpartum mental health factors. A systematic review and meta-analysis were conducted (PROSPERO reference 316,505). A search for articles was performed using PsycARTICLES, PsycINFO, PubMed, MEDLINE, Scopus, Cochrane, DARE, hand search, and citation tracking. The search was meant to identify peer-reviewed, experimental and observational studies reporting on women over 18 years old that assessed sleep and circadian activity patterns during pregnancy or postpartum using actigraphy, and investigated postpartum mental health factors. Nineteen relevant publications were selected. Postpartum total sleep at night was the indicator that was most closely related to the psychological functioning of women after childbirth. The results of the systematic review indicated that postpartum total sleep at night was related to postpartum fatigue, and the results of the meta-analysis suggested that total sleep at night was most strongly linked with postpartum depression. More studies are needed to estimate the associations of sleep-wake rhythm during pregnancy and in the postpartum period with postpartum mental health factors.

Sleep Deficiency in Pregnancy

Sleep is a critical aspect of one's daily life for overall health, with a recommended 7 to 9 hours in adulthood (ages 26-64). Up to a third of women do not sleep sufficiently, and pregnant women are at an increased risk for sleep deficiency. Throughout pregnancy, sleep is affected in differing ways. For example, in the first trimester, hormones affect sleep cycles, but by the third trimester, physical complaints such as increasing frequent urination and fetal movement create frequent awakenings. Associations between sleep deficiency and gestational diabetes, hypertensive disorders, depression, and some evidence regarding preterm birth exist. A woman's labor course and perception of delivery are also negatively affected by short sleep duration.

Maternal sleep disturbances during late pregnancy and child neuropsychological and behavioral development in early childhood

The present study aims to explore the association of maternal sleep disturbances during late pregnancy on child neuropsychological and behavioral development in preschool years. The study included 638 mother-child pairs from the prospective Rhea mother-child cohort in Crete, Greece. Information on antenatal sleep disturbances was collected through a computer-assisted interview. Children's neuropsychological and behavioral development was assessed using the McCarthy Scales of Children's Abilities (MSCA), the Attention-Deficit Hyperactivity Disorder Test (ADHDT), and the Strengths and Difficulties Questionnaire (SDQ). Multivariate analysis showed that maternal sleep duration less than 8 h was associated with reduced scores in the general cognitive scale (β = -2.28, 95% CI -4.54, -0.02, R2 = 0.417) and memory span (β = -3.24, 95% CI -5.72, -0.77, R2 = 0.304), while mild-severe daytime sleepiness was associated with reduced scores in the memory scale (β = -5.42, 95% CI -10.47, -0.37, R2 = 0.304), memory span (β = -5.44, 95% CI -10.68, -0.21, R2 = 0.304), nd functions of posterior cortex (β = -5.55, 95% CI -10.40, -0.70, R2 = 0.393) of MSCA. Snoring in late pregnancy was related to higher child hyperactivity scores in SDQ (β = 1.05, 95% CI 0.16, 1.95, R2 = 0.160). An interaction between child sex and maternal sleep duration in response to ADHD symptoms was also found (p for interaction < 0.05). Stratified analysis revealed increased hyperactivity, inattention, and ADHD total scores for girls of mothers with sleep duration less than 8 h. Maternal sleep disturbances during pregnancy may be associated with impaired child neuropsychological and behavioral development during the preschool years. Early detection and intervention is necessary to reduce sleep disturbances habits in pregnancy and improve child neurodevelopment.

Changes in Heart Rate, Heart Rate Variability, Breathing Rate, and Skin Temperature throughout Pregnancy and the Impact of Emotions-A Longitudinal Evaluation Using a Sensor Bracelet

(1) Background: Basic vital signs change during normal pregnancy as they reflect the adaptation of maternal physiology. Electronic wearables like fitness bracelets have the potential to provide vital signs continuously in the home environment of pregnant women. (2) Methods: We performed a prospective observational study from November 2019 to November 2020 including healthy pregnant women, who recorded their wrist skin temperature, heart rate, heart rate variability, and breathing rate using an electronic wearable. In addition, eight emotions were assessed weekly using five-point Likert scales. Descriptive statistics and a multivariate model were applied to correlate the physiological parameters with maternal emotions. (3) Results: We analyzed data from 23 women using the electronic wearable during pregnancy. We calculated standard curves for each physiological parameter, which partially differed from the literature. We showed a significant association of several emotions like feeling stressed, tired, or happy with the course of physiological parameters. (4) Conclusions: Our data indicate that electronic wearables are helpful for closely observing vital signs in pregnancy and to establish modern curves for the physiological course of these parameters. In addition to physiological adaptation mechanisms and pregnancy disorders, emotions have the potential to influence the course of physiological parameters in pregnancy.

Comprehensive evaluation of machine learning algorithms for predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability

Introduction

Perinatal women tend to have difficulties with sleep along with autonomic characteristics. This study aimed to identify a machine learning algorithm capable of achieving high accuracy in predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability (HRV).

Methods

Nine HRV indicators (features) and sleep-wake conditions of 154 pregnant women were measured for 1 week, from the 23rd to the 32nd weeks of pregnancy. Ten machine learning and three deep learning methods were applied to predict three types of sleep-wake conditions (wake, shallow sleep, and deep sleep). In addition, the prediction of four conditions, in which the wake conditions before and after sleep were differentiated-shallow sleep, deep sleep, and the two types of wake conditions-was also tested.

Results and Discussion

In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine features, seven made major contributions to predicting sleep-wake conditions. Among the seven features, "the number of interval differences of successive RR intervals greater than 50 ms (NN50)" and "the proportion dividing NN50 by the total number of RR intervals (pNN50)" were useful to predict sleep-wake conditions unique to pregnancy. These findings suggest alterations in the vagal tone system specific to pregnancy.

Association of Insomnia with 30-Day Postpartum Readmission: A Retrospective Analysis

Insomnia is prevalent in pregnancy and is associated with increased use of health services. We aimed to evaluate the association between insomnia diagnosed at the delivery hospitalization and risk of 30-day postpartum readmission. We conducted a retrospective analysis of inpatient hospitalizations from the 2010-2019 Nationwide Readmissions Database. The primary exposure was a coded diagnosis of insomnia at delivery as determined by ICD-9-CM and ICD-10-CM codes. Obstetric comorbidities and indicators of severe maternal morbidity were also determined through coding. The primary outcome was all-cause 30-day postpartum readmission. Survey-weighted logistic regression was used to generate crude and adjusted odds ratios representing the association between maternal insomnia and postpartum readmission. Of over 34 million delivery hospitalizations, 26,099 (7.6 cases per 10,000) had a coded diagnosis of insomnia. People with insomnia experienced a 3.0% all-cause 30-day postpartum readmission rate, compared to 1.4% among those without insomnia. After controlling for sociodemographic, clinical, and hospital-level factors, insomnia was associated with 1.64 times higher odds of readmission (95% CI 1.47-1.83). After adjustment for obstetric comorbidity burden and severe maternal morbidity, insomnia was independently associated with 1.33 times higher odds of readmission (95% CI 1.18-1.48). Pregnant patients with insomnia have higher rates of postpartum readmission, and diagnosis of insomnia is independently associated with increased odds of readmission. Additional postpartum support may be warranted for pregnancies affected by insomnia.

Sleep Disparities Across Pregnancy: A Michigan Cohort Study

Introduction

Poor sleep health during pregnancy is related to adverse pregnancy outcomes. This study aims to identify sociodemographic characteristics associated with sleep health during pregnancy and to examine how they relate to changes in sleep during pregnancy.

Materials and Methods

Participants (n = 458) were from the Michigan Archive for Research on Child Health, which is a prospective pregnancy cohort. Sociodemographic characteristics and self-reported sleep timing and quality were collected in phone interviews. This longitudinal study collected sleep parameters once during the early trimesters and once during the third trimester. Fall asleep and wake-up times were used to calculate sleep duration and sleep midpoint.

Results

Compared to the third trimester, sleep duration was 12 minutes longer (p = 0.02), fall asleep time was 21 minutes earlier (p < 0.001), and the midpoint of sleep was 12 minutes earlier (p = 0.01) in early trimesters. Shorter sleep duration was noted in younger women. Sleep midpoint was later in those who were younger, overweight, or obese, racial minorities, unmarried, and with lower educational levels or socioeconomic status, and who smoked before pregnancy after adjusting for covariates. After controlling for confounders, women who were not working for pay had higher likelihood of reduced sleep duration, and women who were unmarried were more likely to have a delayed sleep midpoint in the third trimester compared to the early trimesters.

Conclusions

This study suggests that sleep parameters changed during pregnancy and sleep health differed by sociodemographic characteristics. Understanding sleep disparities could help with early detection of at-risk populations during prenatal care.

Systematic review of the associations between prenatal sleep behaviours and components of energy balance for regulating weight gain

This systematic review aimed to examine the magnitude and direction of the associations between prenatal sleep behaviours (i.e. nighttime sleep duration, sleep quality, night awakenings and daytime nap duration) and eating behaviours, physical activity and gestational weight gain. A systematic search was conducted using Medline/PubMed, PsychINFO, CINAHL Complete, ProQuest Dissertations and Thesis A&I, and Web of Science to identify studies with at least one sleep measure, and either eating behaviours, physical activity and/or gestational weight gain. In summary, 11 studies met the review criteria and generated 11 total effect size across 10,900 participants. The majority of the studies were conducted after 2010, which highlights the infancy of this research. Overall, the strengths of the effect size were small: sleep-gestational weight gain (effect size = 0.29), sleep-eating behaviours (effect size = 0.13) and sleep-physical activity (effect size = 0.13). The only effect size that emerged as significant was for the pooled sleep behaviours-physical activity association; good sleep behaviours were positively associated with higher levels of physical activity. These findings summarize and provide insight on how sleep behaviours are related to prenatal gestational weight gain, eating behaviours and physical activity by identifying the strength and direction of the associations that have been previously unknown. Results support the rationale for future longitudinal and randomized control trials to examine the effects of sleep behaviours on gestational weight gain, eating behaviours and physical activity over the course of pregnancy.

Long-term effectiveness of the midwifery initiated oral health-dental service program on maternal oral health knowledge, preventative dental behaviours and the oral health status of children in Australia

BACKGROUND

The Midwifery Initiated Oral Health-Dental Service was developed to train midwives to promote maternal oral health, and a large trial showed it substantially improved the oral health, knowledge and behaviours of pregnant women.

AIM

Evaluate the long-term effectiveness of the program (post-trial) on maternal oral health knowledge, dental behaviours, and early childhood caries in offspring.

METHODS

A prospective cohort study involving 204 women and children 3-4 years (followed after trial) was conducted in Sydney, Australia from 2017 to 2019.

RESULTS

The program did not have a significant impact on the study measures. Mothers who received the program did have comparatively better knowledge around preventative behaviours to reduce early childhood caries and significantly more mothers were engaging in a key behaviour of using a cup to feed their child. Overall maternal oral health knowledge and level of education did have a protective effect on the dental decay of children. Higher knowledge and levels of education reduced the odds of having a dmft of one or more by over half (OR 0.473), and almost 80% (OR 0.212) respectively.

CONCLUSIONS

Although the MIOH-DS program was not effective, there is still value in exploring other complementary interventions to improve maternal oral health, especially for disadvantaged families. Future research should focus on co-designing an antenatal and postnatal oral health intervention and exploring its long-term impact on the oral health of children.

Sleep disturbances and depressive and anxiety symptoms during pregnancy: associations with delivery and newborn health

BACKGROUND

Sleep disturbances and mood symptoms are common in late pregnancy; according to the literature, they can affect delivery and newborn outcomes. This study evaluated the effect of sleep and mood symptoms on delivery and newborn health, because there are insufficient and partly contradictory studies on the topic.

METHODS

A cohort of 1414 mothers in their third trimester was enrolled in this prospective cross-sectional questionnaire study. Validated questionnaires were assessed for the measurement of sleep disturbances and depressive and anxiety symptoms. The data on delivery and newborn outcomes were obtained from hospital medical records.

RESULTS

Sleep disturbances were very common. A higher insomnia score (β = - 0.06, p = 0.047) and longer sleep need (β = 0.07, p = 0.047) were related to delivery at a lower gestational age. In addition, a higher insomnia score (β = - 28.30, p = 0.010) and lower general sleep quality (β = - 62.15, p = 0.025) were associated with lower birth weight, but longer sleep duration and longer sleep need with a higher birth weight (β = 28.06, p = 0.019; β = 27.61, p = 0.028, respectively). However, the findings regarding birth weight lost their significance when the birth weight was standardized by gestational weeks. Concerning Apgar scores and umbilical artery pH, no associations were found. Snoring was associated with a shorter duration of the first phase of delivery (β = - 78.71, p = 0.015) and total duration of delivery (β = - 79.85, p = 0.016). Mothers with higher insomnia, depressive, or anxiety symptoms were more often treated with oxytocin (OR 1.54 95% CI 1.00-2.38, p = 0.049, OR 1.76, 95% CI 1.02-3.04, p = 0.049 and OR 1.91, CI 95% 1.28-2.84, p < 0.001, respectively) and those with higher depressive and anxiety symptoms were delivered more often with elective cesarean section (OR 4.67, 95% CI 2.04-12.68, p < 0.001 and OR 2.22, 95% CI 1.03-4.79, p = 0.042).

CONCLUSIONS

Maternal sleep disturbances and mood symptoms during pregnancy are associated with delivery and newborn health. However, nearly, all the outcomes fell within a normal range, implying that the actual risks are low.

How Are You Sleeping? Why Nutrition Professionals Should Ask Their Patients About Sleep Habits

Current literature has identified relationships among sleep, nutrition, and diet-related chronic diseases; however, knowledge about how sleep influences diet-related diseases is lacking in dietetics practice. This narrative review briefly explains sleep physiology and outlines the relationships between sleep duration and quality and common nutrition-related diseases, including obesity, diabetes, cardiovascular disease, obstructive sleep apnea, and cancer. Additionally, the review discusses how sleep influences wound healing and pregnancy outcomes and why hospitalized patients are likely to experience sleep problems. Plausible mechanisms explaining the relationships between sleep and disease are presented. Finally, commonly used sleep assessment tools and interventions are reviewed. Given the importance of sleep to health, dietitians should not only be aware of the role sleep plays in disease development and prevention but also assess sleep when feasible and refer patients and clients who are at high risk for sleep problems to a sleep clinic or community program that can address sleep issues.Teaching points:Sleep duration and quality influence risk and outcomes of common nutrition-related diseases.Sleep health evaluation is a missing piece in dietetic practice.There are easy-to-use, validated tools that dietitians can use to screen for sleep problems in order to refer patients and clients to sleep experts.

Adverse effects of inadequate sleep duration patterns during pregnancy on toddlers suspected developmental delay: A longitudinal study

BACKGROUND

Although studies have reported the effects of inadequate sleep on maternal health, few have examined the relationships of maternal sleep patterns with fetal health and early childhood development. This study investigated maternal sleep duration patterns from early pregnancy to 3-years postpartum and their effects on birth outcomes and child development.

METHODS

This study recruited pregnant women and their partners during prenatal visits at five selected hospitals in the Taipei area; follow-up lasted from July 2011 to April 2021. A total of 1178 parents completed self-reported assessments from early pregnancy until childbirth and 544 completed eight assessments up to 3-years postpartum. Generalized estimated equation models were used for analyses.

RESULTS

Group-based trajectory modeling was used to identify four trajectories of sleep duration patterns. Although maternal sleep duration was not associated with birth outcomes, maternal "short decreasing" and "stably short" sleep patterns were associated with a higher risk of suspected overall developmental delay and language developmental delay, respectively. Furthermore, an "extremely long decreasing" pattern was associated with a higher risk of suspected overall developmental delay, [adjusted odds ratio (aOR) = 2.97, 95% confidence interval (CI):1.39-6.36)], gross motor delay, (aOR = 3.14, 95% CI: 1.42-6.99) and language developmental delay (aOR = 4.59, 95% CI:1.62-13.00). The results were significant for the children of multiparous women.

CONCLUSIONS

We identified a U-shaped distribution of risk between offspring developmental delay and maternal prenatal sleep duration, with the highest risk levels on both ends of the maternal prenatal sleep duration pattern. Interventions for maternal sleep are relatively straightforward to implement and should thus be a key part of standard prenatal care.

A trial of positive airway pressure for the treatment of sleep apnea in pregnancy

BACKGROUND

The pathophysiology of obstructive sleep apnea in pregnancy remains poorly understood and studies examining the effect of treatment with positive airway pressure on pregnancy have been limited.

OBJECTIVE

This study aimed to perform a randomized controlled trial of positive airway pressure treatment for obstructive sleep apnea in pregnancy.

STUDY DESIGN

Participants with a body mass index ≥30 kg/m² underwent polysomnography at 14 to 20 weeks' gestation (visit 1) and those with obstructive sleep apnea (apnea-hypopnea index ≥5 but <50) were enrolled. In phase 1, participants were randomized to autotitrating positive airway pressure vs sham positive airway pressure; in phase 2, the sham arm was replaced with a sleep hygiene control. Participants returned at 28 to 31 weeks' gestation (visit 2). The mean arterial blood pressure, uterine artery Doppler pulsatility index, endoglin, soluble FMS-like tyrosine kinase 1 levels, and placental growth factor levels were measured, as well as fasting glucose and insulin to calculate insulin resistance (homeostatic model assessment for insulin resistance). The primary outcome was a composite of the uterine artery Doppler pulsatility index, soluble FMS-like tyrosine kinase 1 to placental growth factor ratio, and the homeostatic model assessment for insulin resistance. For secondary analyses, each outcome variable was analyzed independently. Adherence to treatment was examined.

RESULTS

A total of 241 participants completed visit 1, and 89 (37%) had an apnea-hypopnea index between 5 and 50. Of the those, 51 participants were randomized in phase 1 and 38 in phase 2. There was no significant difference in our primary outcome by treatment group. In secondary analyses, the uterine artery Doppler pulsatility index was lower in participants on autotitrating positive airway pressure when compared with sleep hygiene controls. Otherwise, there were no differences in the mean arterial blood pressure, angiogenic markers, or metabolic markers in phase 1, phase 2, or across the entire study. The overall adherence to autotitrating positive airway pressure therapy was low, but the mean use was greater in phase 2 (0.3±0.6 hours/night vs 1.3±2.3 hours/night; P=.10). For those on active therapy, fasting glucose values decreased as adherence increased.

CONCLUSION

This randomized controlled trial of autotitrating positive airway pressure in pregnancy did not find any differences in a composite primary cardiometabolic risk profile between the treatment groups. Higher autotitrating positive airway pressure adherence was associated with lower fasting glucose levels. The use of a sham positive airway pressure control arm in phase1 may have negatively impacted adherence to active treatment.

Longitudinal changes in objective sleep parameters during pregnancy

BACKGROUND

Sleep disturbances are associated with adverse perinatal outcomes. Thus, it is necessary to understand the continuous patterns of sleep during pregnancy and how moderators such as maternal age and pre-pregnancy body mass index impact sleep.

OBJECTIVE

This study aimed to examine the continuous changes in sleep parameters objectively (i.e. sleep stages, total sleep time, and awake time) in pregnant women and to describe the impact of maternal age and/or pre-pregnancy body mass index as moderators of these objective sleep parameters.

DESIGN

This was a longitudinal observational design.

METHODS

Seventeen women with a singleton pregnancy participated in this study. Mixed model repeated measures were used to describe weekly patterns, while aggregated changes describe these three pregnancy periods (10-19, 20-29, and 30-39 gestational weeks).

RESULTS

For the weekly patterns, we found significantly decreased deep (1.26 ± 0.18 min/week, p < 0.001), light (0.72 ± 0.37 min/week, p = 0.05), and total sleep time (1.56 ± 0.47 min/week, p < 0.001) as well as increased awake time (1.32 ± 0.34 min/week, p < 0.001). For the aggregated changes, we found similar patterns to weekly changes. Women (⩾30 years) had an even greater decrease in deep sleep (1.50 ± 0.22 min/week, p < 0.001) than those younger (0.84 ± 0.29 min/week, p = 0.04). Women who were both overweight/obese and ⩾30 years experienced an increase in rapid eye movement sleep (0.84 ± 0.31 min/week, p = 0.008), but those of normal weight (<30 years) did not.

CONCLUSION

This study appears to be the first to describe continuous changes in sleep parameters during pregnancy at home. Our study provides preliminary evidence that sleep parameters could be potential non-invasive physiological markers predicting perinatal outcomes.

Trajectory of Perinatal Depressive Symptoms from the Second Trimester to Three Months Postpartum and Its Association with Sleep Quality

Purpose

Few studies have explored the association between sleep quality and depressive symptoms in perinatal women from the second trimester to the postpartum period. This study aims to explore this relationship using a longitudinal design.

Patients and Methods

Participants were enrolled at 15 gestational weeks. Demographic information was collected. Perinatal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale (EPDS). Sleep quality was measured employing the Pittsburgh Sleep Quality Index (PSQI) at five timepoints from enrollment to three months postpartum. Overall, 1416 women completed the questionnaires at least thrice. A Latent Growth Curve (LGC) model was performed to identify the relationship between the trajectories of perinatal depressive symptoms and sleep quality.

Results

Of the participants, 23.7% screened positive at least once on the EPDS. The perinatal depressive symptoms trajectory, fitted by the LGC model, decreased at early pregnancy and increased from 15 gestational weeks to three months postpartum. The intercept of sleep trajectory positively affected the intercept of perinatal depressive symptoms' trajectory; the slope of sleep trajectory positively affected both the slope and the quadratic coefficient of perinatal depressive symptoms' trajectory.

Conclusion

The trajectory of perinatal depressive symptoms increased from 15 gestational weeks to three months postpartum following a quadratic trend. Poor sleep quality was associated with depression symptoms beginning at the onset of pregnancy. Moreover, rapidly declining sleep quality could be a significant risk factor for perinatal depression (PND). These findings call for greater attention to perinatal women who report poor and persistently deteriorating sleep quality. Additional sleep-quality evaluations, depression assessments, and referrals to mental health care providers may benefit these women and support PND prevention, screening, and early diagnosis.

Sleep quality and the evolution of the COVID-19 pandemic in five European countries

The COVID-19 pandemic has led to lifestyle changes across Europe with a likely impact on sleep quality. This investigation considers sleep quality in relation to the evolution of the COVID-19 pandemic in five European countries. Using panel regressions and keeping policy responses to COVID-19 constant, we show that an increase in the four-week average daily COVID-19 deaths/100,000 inhabitants (our proxy for the evolution of the pandemic) significantly reduced sleep quality in France, Germany, Italy, Spain, and Sweden between April 2020 and June 2021. Our results are robust to a battery of sensitivity tests and are larger for women, parents and young adults. Additionally, we show that about half of the reduction in sleep quality caused by the evolution of the pandemic can be attributed to changes in lifestyles, worsened mental health and negative attitudes toward COVID-19 and its management (lower degree of confidence in government, greater fear of being infected). In contrast, changes in one's own infection-status from the SARS-CoV-2 virus or sleep duration are not significant mediators of the relationship between COVID-19-related deaths and sleep quality.

Marijuana use and sleep quality during pregnancy

OBJECTIVE

Marijuana use among pregnant women is on the rise in part due to the perception that marijuana may improve problems related to pregnancy such as poor sleep. This study's objective was to examine associations between marijuana use and sleep quality among a sample of women during pregnancy.

MATERIAL AND METHODS

The sample included women seeking prenatal care at The Ohio State University Wexner Medical Center (2010-2015). Intake assessments included medical, demographic, and socioeconomic domains, as well as the Pittsburgh Sleep Quality Index. Marijuana use during pregnancy was determined using urine screens, chart abstraction, and self-report. Women completed standardized questionnaires regarding sleep quality, depressive symptoms, anxiety, stress, and discrimination at enrollment and each subsequent trimester. A linear mixed-effect model was used to assess the relationship between sleep variables and marijuana use adjusted for maternal race, education, household income, age, marital status, depressive symptoms, anxiety, stress, discrimination, and use of tobacco and other substances during pregnancy. Women completed the sleep quality assessments for a total of 294 pregnancies, which comprise the study population.

RESULTS

Among the study sample (n = 294), 93 women used marijuana and 201 women did not use marijuana during their pregnancies. Women who used marijuana (n = 93) were more likely to identify as African-American (73% vs 58%; p = .01), report government health insurance (98% vs 89%; p = .001), use tobacco during pregnancy (66% vs 33%; p < .001), report less household income (70% vs 43% < 10,000 annual household income; p < .001), and be unmarried (69% vs 49%; p < .001) compared to women who did not. Mean sleep quality was similar among women who did (µ = 7.6; SD = 4.0) and did not use marijuana during pregnancy (µ = 7.7; SD = 4.0), and both groups had a mean score worse than the conventional cutoff for poor sleep quality (>5). In fact, both groups reported worse sleep than is typically observed among cohorts reporting poor sleep, which have ranged from 5.3 to 6.3.

CONCLUSIONS

Current findings did not suggest differences in sleep quality between women who used and did not use marijuana during pregnancy. Findings are contrary to the perception that marijuana use alleviates sleep-related problems during pregnancy. Given well-documented adverse outcomes associated with prenatal marijuana exposure for children and the increase in women using marijuana during pregnancy, providers should be prepared to discuss possible harms associated with marijuana use during pregnancy as well as provide psychoeducational information and service referrals to those interested. Future studies could improve upon this design by assessing objective measures of sleep, such as actigraphy, as well as marijuana use repeatedly throughout pregnancy, which may be a more optimal strategy for illuminating potential relationships between marijuana use and sleep during pregnancy.

Changes in parental sleep from pregnancy to postpartum: A meta-analytic review of actigraphy studies

Sleep changes in new parents are widely observed but there is no extant meta-analysis of changes to sleep parameters in this group. We completed a meta-analysis of changes in actigraphy-measured parent sleep between pregnancy and the end of the first year of a child's life. A search of six databases was completed. Following review using predetermined inclusion and exclusion criteria, 16 papers were left for review. Data were extracted, analysed and each paper was reviewed for methodological quality. Where possible, subgroup analysis was completed based on time since birth and location of the study, and meta-regression of parent age. Parents' total sleep time and sleep efficiency were shown to decrease following the birth of a child, with wake after sleep onset increasing. This change was most notably observed in the first four weeks after birth. Up to 16 weeks post-birth, differences were still apparent, but sleep parameters were beginning to return to pre-birth levels. New parents experience a significant change in multiple sleep parameters following the birth of a child. Future data collection, using best practice actigraphy measurement, reporting a broader range of variables and including fathers, as well as mothers, is warranted.

Insomnia during pregnancy and severe maternal morbidity in the united states: nationally representative data from 2006 to 2017

STUDY OBJECTIVES

Using a large, nationally representative database, we aimed to estimate the prevalence and trends of insomnia among pregnant women over a 12-year period. In addition, we aimed to examine the interplay among insomnia, maternal comorbidities, and severe maternal morbidity (SMM).

METHODS

We conducted a serial cross-sectional analysis of pregnancy-related hospitalizations in the United States from the 2006 to 2017 National Inpatient Sample (NIS). ICD-9 and ICD-10 codes were used to capture diagnoses of insomnia and obstetric comorbidities during delivery and non-delivery hospitalizations. The primary outcome was the diagnosis of SMM at delivery. We used logistic regression to assess the association between insomnia and SMM. Joinpoint regression was used to estimate trends in insomnia and SMM.

RESULTS

Of nearly 47 million delivery hospitalizations, 24 625 women had a diagnosis of insomnia, or 5.2 per 10 000 deliveries. The annual incidence increased from 1.8 to 8.6 per 10 000 over the study period. The crude rate of insomnia was 6.3 times higher for non-delivery hospitalizations. Patients with insomnia had more comorbidities, particularly neuromuscular disease, mental health disorders, asthma, and substance use disorder. Prevalence of non-blood transfusion SMM was 3.6 times higher for patients with insomnia (2.4% vs. 0.7%). SMM increased annually by 11% (95% CI = 3.0% to 19.7%) in patients with insomnia. After adjusting for comorbidities, there remained a 24% increased likelihood of SMM for patients with insomnia.

CONCLUSIONS

Coded diagnosis of insomnia during pregnancy has increased over time, and this burden disparately affects women of low socioeconomic status. Diagnosis of insomnia is an independent predictor of SMM.

Sleep characteristics modify the associations of physical activity during pregnancy and gestational weight gain

OBJECTIVE

Excessive gestational weight gain (eGWG) is associated with adverse long-term maternal outcomes. Most lifestyle interventions that incorporate physical activity have been ineffective at reducing eGWG. The purpose of this study was to determine if sleep modified the relationships between physical activity change from the 2nd to 3rd trimester and the odds of excessive gestational weight gain (eGWG).

METHODS

This was a secondary data analysis of a prospective cohort study of pregnant birthing people with overweight or obesity (n = 105). We estimated physical activity energy expenditure (PAEE) in the 2nd and 3rd trimesters of pregnancy and sleep characteristics (i.e., sleep quality, daytime dysfunction, sleep efficiency, sleep duration) in the 2nd trimester of pregnancy with validated measures. We used regression models with sleep and PAEE change (increase/stable vs. decrease) interaction terms to examine the impact of sleep on PAEE change and eGWG.

RESULTS

Mean GWG was 37.02 ± 16.76 lbs. and 80% of participants experienced eGWG. Eighteen percent of participants increased their PAEE from the 2nd to the 3rd trimester. Increasing (vs. decreasing) PAEE was associated with lower log-odds of eGWG only among participants that slept at least 8 h/night (p = 0.06), had at least 85% sleep efficiency (p = 0.03), or reported less daytime dysfunction (p = 0.08). Sleep quality did not moderate the association between PAEE change and eGWG.

CONCLUSIONS

Weight management interventions in pregnancy should consider screening for and addressing poor sleep in the second trimester.

Changes in Sleep Patterns during Pregnancy and Predictive Factors: A Longitudinal Study in Saudi Women

This study aimed to assess sleep patterns during the three trimesters of pregnancy and whether vitamin D concentrations, along with other risk factors, are associated with these alterations. In a longitudinal study, 140 pregnant women (age 18 to 39 years) were followed throughout their first, second, and third trimesters. Sleep was measured using the Pittsburgh Sleep Quality Index (PSQI) at each trimester, along with an assessment of biochemical parameters, including serum vitamin D levels. The information that was collected included anthropometric data, socio-economic status, dietary intake, and physical activity. The PSQI was higher in mid and late pregnancy than in early pregnancy (both p = 0.001), and the sleep duration was also higher in late versus early pregnancy. Linear regression analyses revealed independent predictors of deteriorating sleep quality from early to late pregnancy, including low income (B ± SE −0.60 ± 0.26, p = 0.03) and low serum vitamin D levels in the second trimester (B ± SE −0.20 ± 0.01, p = 0.04). Energy intake and sitting in the second half of pregnancy were positively associated with changes in the PSQI score from the second to third trimesters (B ± SE 0.15 ± 0.07, p = 0.048) and (B ± SE 0.01 ± 0.00, p = 0.044), respectively. Low socio-economic status, low serum vitamin D levels, greater energy intake, and sitting time were associated with worsening patterns of sleep quality from early to late pregnancy.

Sleep disorders in pregnancy

Sleep disturbances are common in pregnancy and affect sleep quality. The maternal body is going through constant physical and physiological changes to adapt to the growing fetus. Sleep disorders may manifest at any point during pregnancy; some may result in adverse maternal or fetal outcomes. A strong clinical suspicion is crucial to identify sleep disorders in pregnancy and their management should be evaluated with a multidisciplinary team approach. In this review, we provide an overview of changes in sleep during pregnancy and summarise the key features of common sleep disorders in pregnancy, including practical tips on their management.

Educational aims

To provide an overview of common sleep disorders in pregnancy and their management options.

To highlight the impact of the physiological changes in pregnancy on sleep.

To outline the type of sleep studies available to investigate sleep disorders in pregnancy.

Sleep Deficiency in Pregnancy

Sleep is a critical aspect of one's daily life for overall health, with a recommended 7 to 9 hours in adulthood (ages 26-64). Up to a third of women do not sleep sufficiently, and pregnant women are at an increased risk for sleep deficiency. Throughout pregnancy, sleep is affected in differing ways. For example, in the first trimester, hormones affect sleep cycles, but by the third trimester, physical complaints such as increasing frequent urination and fetal movement create frequent awakenings. Associations between sleep deficiency and gestational diabetes, hypertensive disorders, depression, and some evidence regarding preterm birth exist. A woman's labor course and perception of delivery are also negatively affected by short sleep duration.

It's About Time: The Circadian Network as Time-Keeper for Cognitive Functioning, Locomotor Activity and Mental Health

A variety of organisms including mammals have evolved a 24h, self-sustained timekeeping machinery known as the circadian clock (biological clock), which enables to anticipate, respond, and adapt to environmental influences such as the daily light and dark cycles. Proper functioning of the clock plays a pivotal role in the temporal regulation of a wide range of cellular, physiological, and behavioural processes. The disruption of circadian rhythms was found to be associated with the onset and progression of several pathologies including sleep and mental disorders, cancer, and neurodegeneration. Thus, the role of the circadian clock in health and disease, and its clinical applications, have gained increasing attention, but the exact mechanisms underlying temporal regulation require further work and the integration of evidence from different research fields. In this review, we address the current knowledge regarding the functioning of molecular circuits as generators of circadian rhythms and the essential role of circadian synchrony in a healthy organism. In particular, we discuss the role of circadian regulation in the context of behaviour and cognitive functioning, delineating how the loss of this tight interplay is linked to pathological development with a focus on mental disorders and neurodegeneration. We further describe emerging new aspects on the link between the circadian clock and physical exercise-induced cognitive functioning, and its current usage as circadian activator with a positive impact in delaying the progression of certain pathologies including neurodegeneration and brain-related disorders. Finally, we discuss recent epidemiological evidence pointing to an important role of the circadian clock in mental health.

Trajectories and Depressive Symptoms During the Perinatal Period: A Longitudinal Population-Based Study in China

Most women in the perinatal period face sleep issues, which can affect their mental health. Only a few studies have focused on sleep trajectories and depressive symptoms of women during the perinatal period in China. This study aims to explore the development trajectory of sleep quality by classifying pregnant women according to the changes in their sleep quality during pregnancy and postpartum and investigate the correlation between different sleep quality trajectory groups and depressive symptoms. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality, and the Edinburgh Postnatal Depression Scale (EPDS) was used to assess the symptoms of depression. Participants (n = 412) completed the assessment of sleep quality, depressive symptoms, and some sociodemographic and obstetric data at 36 weeks of gestation, 1 week after delivery, and 6 weeks after delivery. The group-based trajectory model (GBTM) was used to complete the trajectory classification, and logistic regression was used to analyze the predictive factors of postpartum depressive symptoms. Four different sleep quality trajectories were determined: "stable-good," "worsening," "improving," and "stable-poor" groups. The results demonstrate that poor sleep trajectories, social support and parenting experience during the perinatal period are related to postpartum depression. Screening for prenatal sleep problems is crucial for identifying the onset of perinatal depressive symptoms.

Sleep quality and BMI in pregnancy- a prospective cohort study

Background

Pregnancy associated sleep disturbances is a common pregnancy-related complication which can lead to significant maternal distress and adverse pregnancy outcomes. Sleep quality can be affected by multiple factors and obesity has been recognized as one of them. Various previous studies have demonstrated poorer sleep quality during pregnancy. However, most studies included assessment at only one point of pregnancy. This prospective cohort study aimed to better evaluate the effect of pregnancy on the quality of sleep throughout the antenatal period and how BMI affects antenatal sleep.

Methods

A total of 926 women were recruited before 14 weeks of gestation and followed throughout pregnancy. The Pittsburgh Sleep Quality Index questionnaire (PSQI) was employed to assess sleep quality in 4 antenatal visits throughout pregnancy. Their weight was also recorded at each visit.

Results

The PSQI global score was higher towards the later part of pregnancy (6.4 to 8.0, p < 0.001) and highest at the 4th visit. Sleep latency was longer as pregnancy progressed (18.5 mins to 23.2 mins, p = 0.001). Sleep duration became shorter over time and was the shortest at the 4th visit (7.1 h to 6.5 h, p < 0.001). Sleep efficiency was the lowest at the 4th visit (85.2 to 81.6%, p < 0.001). The same trend was observed for subjects in different BMI groups throughput pregnancy. PSQI score increased and sleep duration decreased as BMI increased. The effect of increasing BMI on PSQI and sleep duration was only observed in the higher BMI groups (> 25 kg/m²).

Conclusions

Our study showed that sleep quality gradually declined throughout pregnancy for all BMI groups. Higher BMI was associated with poorer sleep as represented by PSQI score and sleep duration, particularly in the overweight and obese subgroups.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04414-7.

Maternal Sleep and Related Pregnancy Outcomes: A Multicenter Cross-Sectional Study in 11 Provinces of Iran

Objective: Sleep disturbance during pregnancy is one of the most common maternal complaints. Not only does it play a crucial role in a mother’s life, but also it comes with a multitude number of complications. This study aimed at assessing the association between sleep disturbance in pregnancy and maternal and child outcomes.

Materials and methods: This was a multicenter cross-sectional study, conducted on pregnant women across 11 provinces in Iran in 2018. Sleep disturbance as a composite variable was defined using the principal component analysis based on five questions. Abortion, anemia in the first and third trimester, gestational diabetes, gestational age, glucose tolerance test (GTT), fasting blood sugar (FBS), mode of delivery, low birth weight and stillbirth were defined as study outcomes.

Results: Totally, 3675 pregnant women enrolled in the study. Most of the participants (84.5%) reported that their sleep duration is less than 8 hours per day. The prevalence of sleep disturbance was 20.7% (95% CI: 19.1, 22.3). After adjusting for maternal age, education, job, place of residency and physical violence, sleep disturbance would increase the odds of abortion (p=0.009), anemia in both first (p=0.001) and third (p=0.003) trimester, gestational age (p=0.049), abnormal FBS (p=0.015) and cesarean section (p<0.001).

Conclusion: Regarding the effect of sleep quality on maternal outcomes, planning and implementing a suitable intervention in the context of primary health care is necessary. Increasing the awareness of mothers, health workers and medical personnel about the suitable quality and quantity of sleep during pregnancy is of great importance.

Sleep and physical activity from before conception to the end of pregnancy in healthy women: a longitudinal actigraphy study

BACKGROUND

Sleep and physical activity changes are common in pregnancy, but longitudinal data starting before conception are scarce. Our aim was to determine the changes of the daily total sleep time (TST) and physical activity duration (PAD) from before conception to end of pregnancies in respect of pregestational maternal factors.

METHODS

This longitudinal observational study formed part of the CONIMPREG research project and recruited healthy women planning to become pregnant. Sleep and physical activity were recorded around-the-clock for ≥4 days via actigraphy before conception and during each trimester of pregnancy. Data were adjusted according to pregestational maternal body composition, parity and age.

RESULTS

Among 123 women with eligible data, the unadjusted mean (95% confidence interval) TST increased from 415.3 min (405.5-425.2 min) before conception to 458.0 min (445.4-470.6 min) in the 1st trimester, remaining high through the 2nd and 3rd trimesters. Variation was substantial before conception (±2SD range: 307-523 min). The unadjusted mean PAD before conception was 363.7 min (±2SD range: 120-608 min), decreasing sharply to 262.1 min in the first trimester and more gradually thereafter. Vigorous and moderate activity decreased more than light activity. TST and PAD were significantly associated with age, parity, and pregestational body fat percentage; lean body mass was negatively correlated with TST. Results were generally unaffected by seasonal variations.

CONCLUSION

Marked variations were found in pregestational TST and PAD. Healthy women slept ≥30 min longer during pregnancy, while PAD decreased by ≥ 90 min in early pregnancy and continued to decrease thereafter.

Demographic, Pregnancy-Related, and Health-Related Factors in Association with Changes in Sleep Among Pregnant Women with Overweight or Obesity

BACKGROUND

Women with prepregnancy overweight/obesity are at high risk for obstetric complications and cardiometabolic disease. Poorer sleep quality is associated with obesity in non-pregnant individuals and, during pregnancy, poor sleep predicts negative obstetric and health outcomes. This study examined sleep patterns among women with overweight/obesity and factors associated with different sleep trajectories during pregnancy.

METHODS

Women (N = 146, 17-40 years old) with a prepregnancy body mass index ≥ 25 kg/m² were recruited during early pregnancy. Participants reported demographic information and completed the Pittsburgh Sleep Quality Index (PSQI) at up to six monthly assessments, with the first assessment occurring between 12 and 20 weeks gestation and the final assessment between 35 weeks gestation and delivery. PSQI scores > 5 indicate "poor sleep."

RESULTS

On average, women's PSQI scores were 6.66 ± 3.58 in the first half of pregnancy and were significantly higher (worse) at the end of pregnancy (t(644) = 4.55, p < 0.001), with the greatest change occurring in the third trimester (t(636.3) = 3.72, p < 0.001). Women who currently smoked had poorer sleep than women who did not currently smoke (t(1) = 2.29, p = 0.02). Prepregnancy weight status, age, parity, race, education, and income were not significantly associated with sleep changes (t(1) < 1.76, ps > 0.08). The percentage of women with PSQI scores > 5 (the threshold for poor sleep quality) was 37-63% across assessments, with the greatest increase occurring during the third trimester (t(633) = 2.92, p = 0.004).

CONCLUSIONS

Sleep quality worsens during the third trimester and is associated with current smoking. Future studies of sleep during pregnancy should examine health outcomes among women with overweight/obesity and early intervention to mitigate sleep disturbances as pregnancy progresses.

Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation

Pregnancy is a unique time when many mothers gain awareness of their lifestyle and its impacts on the fetus. High-quality care during pregnancy is needed to identify possible complications early and ensure the mother’s and her unborn baby’s health and well-being. Different studies have thus far proposed maternal health monitoring systems. However, they are designed for a specific health problem or are limited to questionnaires and short-term data collection methods. Moreover, the requirements and challenges have not been evaluated in long-term studies. Maternal health necessitates a comprehensive framework enabling continuous monitoring of pregnant women. In this paper, we present an Internet-of-Things (IoT)-based system to provide ubiquitous maternal health monitoring during pregnancy and postpartum. The system consists of various data collectors to track the mother’s condition, including stress, sleep, and physical activity. We carried out the full system implementation and conducted a real human subject study on pregnant women in Southwestern Finland. We then evaluated the system’s feasibility, energy efficiency, and data reliability. Our results show that the implemented system is feasible in terms of system usage during nine months. We also indicate the smartwatch, used in our study, has acceptable energy efficiency in long-term monitoring and is able to collect reliable photoplethysmography data. Finally, we discuss the integration of the presented system with the current healthcare system.

Sleep Duration, Sleep Timing, and Sleep Disordered Breathing-Associations With Obesity and Gestational Diabetes in Pregnancy

Pregnant individuals may come into pregnancy with underlying sleep abnormalities but are also predisposed to developing sleep issues such as obstructive sleep apnea, due to the physiologic changes associated with the gravid state. This article will review the epidemiology of sleep duration, sleep timing, and sleep disordered breathing in pregnancy with a focus on how the prevalence of these sleep conditions relate to body mass index. In addition, it will summarize the literature suggesting a link between these sleep disturbances and an increased risk for gestational diabetes.

Sleep quality in women with nausea and vomiting of pregnancy: a cross-sectional study

BACKGROUND

Nausea and vomiting of pregnancy (NVP) deteriorates many aspects of daily lives of women. However, little is known about associations between NVP and sleep quality.

METHODS

Women attending to routine mid-pregnancy visits in maternity health care clinics in Turku city area and surrounding municipalities, Finland, during 2011-2014, were invited to participate. A cohort of 1203 volunteers (mean age 30 years, mean gestational week 16.6, mean BMI 24.4 kg/m2, nulliparous 46%) was recruited. The severity of NVP in the worst 12-h period of current pregnancy was assessed with Pregnancy Unique Quantification of Emesis Questionnaire (PUQE) and categorized accordingly into no/mild/moderate and severe NVP. Sleep disturbances during the past 3 months were assessed with selected questions (difficulty falling asleep, night awakenings, too early morning awakenings and sleepiness during the day) from Basic Nordic Sleep Questionnaire (BNSQ). In addition, general sleep quality, as well as physical and mental quality of life (QoL) were rated with three visual analog scales (VAS). Associations between PUQE categories (severity of NVP) and sleep disturbances, general sleep quality, physical QoL and mental QoL were evaluated with multinomial regression analysis.

RESULTS

According to PUQE, NVP was most frequently moderate (n = 629, 52.3%), followed by mild (n = 361, 30.0%) and severe (n = 77, 6.4%). Only 11.3% had no NVP (n = 136). The most frequent sleep disturbance was night awakenings (69.9%, n = 837), followed by sleepiness during the day (35.7%, n = 427), too early morning awakenings (12.0%, n = 143) and difficulty falling asleep (7.1%, n = 81). In adjusted analysis (age, parity, body mass index, smoking, employment), more severe NVP was associated with night awakenings (AOR 3.9, 95% CI 1.79-8.47, P < 0.0001) and sleepiness during the day (AOR 4.7, 95% CI 2.20-9.94, P < 0.0001). In VAS, women with more severe NVP rated worse general sleep quality and worse physical and mental QoL. However, in multivariable analysis, the association between the severity of NVP and physical and mental QoL was stronger than that of sleep .

CONCLUSIONS

More severe NVP is associated with sleep disturbances and in close relation to lower physical and mental QoL. Thus, in comprehensive care of women with NVP, also sleep quality should be evaluated.

Neurobiological and Hormonal Mechanisms Regulating Women's Sleep

Sleep is crucial for optimal well-being, and sex differences in sleep quality have significant implications for women's health. We review the current literature on sex differences in sleep, such as differences in objective and subjective sleep measures and their relationship with aging. We then discuss the convincing evidence for the role of ovarian hormones in regulating female sleep, and survey how these hormones act on a multitude of brain regions and neurochemicals to impact sleep. Lastly, we identify several important areas in need of future research to narrow the knowledge gap and improve the health of women and other understudied populations.

Maternal insomnia during the COVID-19 pandemic: associations with depression and anxiety

BACKGROUND

The COVID-19 outbreak has made people more prone to depression, anxiety and insomnia, and females are at a high risk of developing these conditions. As a special group, pregnant and lying-in women must pay close attention to their physical and mental health, as both have consequences for the mother and the fetus. However, knowledge regarding the status of depression, anxiety and insomnia among these women is limited.

AIM

This study aimed to examine insomnia and psychological factors among pregnant and lying-in women during the COVID-19 pandemic and provide theoretical support for intervention research.

METHODS

In total, 2235 pregnant and lying-in women from 12 provinces in China were surveyed; their average age was 30.25 years (SD = 3.99, range = 19-47 years).

PARTICIPANTS AND SETTING

The participants completed electronic questionnaires designed to collect demographic information and assess levels of depression, anxiety and insomnia.

RESULTS

The prevalence of insomnia in the sample was 18.9%. Depression and anxiety were significant predictors of insomnia. Participants in high-risk areas, those with a disease history, those with economic losses due to the outbreak, and those in the postpartum period had significantly higher insomnia scores.

DISCUSSION

The incidence of insomnia among pregnant and lying-in women is not serious in the context of the epidemic, which may be related to the sociocultural background and current epidemic situation in China.

CONCLUSION

Depression and anxiety are more indicative of insomnia than demographic variables.

How the Sleep of Couples Changes from Pregnancy to Three Months Postpartum

BACKGROUND

Sleep disturbances are frequent during pregnancy and postpartum. However, detailed research of sleep in couples during pregnancy and postpartum is lacking.

OBJECTIVE

Changes of sleep for primi- and multiparous pregnant women and their partners from late pregnancy to three months postpartum. The particular focus of this study is on sex differences in sleep, sleep problems, mutual sleep influence of couples, and the influences of parity and feeding methods on couples' sleep.

MATERIALS AND METHODS

The sample included 69 pregnant couples in the last trimester of pregnancy (t1) and three months after birth (t2). Sleep was measured with sleep diary for both times of measurement. The Pittsburgh Sleep Quality Index (PSQI) assessed sleep disturbances. Other variables as parity and infant feeding type were determined by questionnaire. Besides results for woman and men, also dyadic data are calculated.

RESULTS

Over the time women had a worse sleep quality than men. They had a prolonged sleep onset latency, higher frequency and longer duration of night wakings than men. Sleep efficiency for women was prepartal 83.32% and postpartal 83.6% below the clinically cut-off value of 85%. For 56.52% of women at t1 and for 55.07% at t2 PSQI scores exceeded the clinically cut-off of 5. However, men suffered from a sleep loss after birth of their child, too. In pregnancy and postpartum men reported lower total sleep time at both times of measurement in comparison to women. For 30.43% of men at T1 and for 24.64% at T2 PSQI score exceeded the clinically cut-off of 5. Sleep efficiency for men was prepartal 90.96% and postpartal 90.69%. Results indicate predictive links between prepartal PSQI of couples to postpartal PSQI. Neither parity nor feeding method could explain variance in postpartal PSQI-score.

CONCLUSION

This is one of the very rare studies incorporating dyadic data. Results show the need of diagnosing and treating existing sleep problems in pregnancy to prevent future sleep problems postpartum.

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.

Insomnia symptoms during pregnancy: A meta-analysis

Reports of sleep disturbances are common during pregnancy, yet estimates of prevalence of insomnia symptoms during pregnancy vary widely. The goals of the current review were to summarize the existing data on prevalence of insomnia symptoms during pregnancy and to explore potential moderators, including trimester, gestational age, maternal age, symptoms of anxiety and symptoms of depression. A systematic search of PubMed, PsycInfo and Web of Science was conducted for articles published from inception up to June 2020. In total, 24 studies with a total of 15,564 participants were included in the analysis. The overall prevalence of insomnia symptoms during pregnancy was 38.2%. Trimester was a significant moderator, such that prevalence of insomnia symptoms was higher in the third trimester (39.7%) compared to first (25.3%) and second (27.2%) trimesters. No other variables significantly moderated the prevalence of insomnia symptoms. The results of the current meta-analysis suggest that the prevalence of insomnia symptoms is higher during pregnancy, particularly in the third trimester. Future research should examine the efficacy and safety of insomnia treatments with this population.

Maternal sleep quality during pregnancy is associated with neonatal auditory ERPs

Poor maternal sleep quality during pregnancy may act as a prenatal stress factor for the fetus and associate with neonate neurocognition, for example via fetal programming. The impacts of worsened maternal sleep on neonatal development and, more specifically on neonatal auditory brain responses, have not been studied. A total of 155 mother-neonate dyads drawn from the FinnBrain Birth Cohort Study participated in our study including maternal self-report questionnaires on sleep at gestational week 24 and an event-related potential (ERP) measurement among 1-2-day-old neonates. For sleep quality assessment, the Basic Nordic Sleep Questionnaire (BNSQ) was used and calculated scores for (1) insomnia, (2) subjective sleep loss and (3) sleepiness were formed and applied in the analyses. In the auditory ERP protocol, three emotionally uttered pseudo words (in happy, angry and sad valence) were presented among neutrally uttered pseudo words. To study the relations between prenatal maternal sleep quality and auditory emotion-related ERP responses, mixed-effects regression models were computed for early (100–200 ms) and late (300–500 ms) ERP response time-windows. All of the selected BNSQ scores were associated with neonatal ERP responses for happy and angry emotion stimuli (sleep loss and sleepiness in the early, and insomnia, sleep loss and sleepiness in the late time-window). For sad stimuli, only maternal sleep loss predicted the neonatal ERP response in the late time-window, likely because the overall ERP was weakest in the sad condition. We conclude that maternal sleep quality during pregnancy is associated with changes in neonatal auditory ERP responses.

Insomnia symptoms increase during pregnancy, but no increase in sleepiness - Associations with symptoms of depression and anxiety

OBJECTIVE

To evaluate alteration in insomnia and sleepiness symptoms during pregnancy and assess early pregnancy risk factors for these symptoms, especially depressive and anxiety symptoms.

METHODS

A cohort of 1858 women was enrolled from the FinnBrain Birth Cohort Study. Insomnia and sleepiness symptoms were measured in early, mid- and late pregnancy with the Basic Nordic Sleep Questionnaire. Depressive symptoms were measured using the Edinburgh Postnatal Depression Scale and anxiety symptoms with the Symptom Checklist-90/Anxiety Scale. General linear models for repeated measures were conducted.

RESULTS

General sleep quality decreased (p < 0.001) and all insomnia types (p < 0.001) and sleep latencies (p < 0.001) increased as pregnancy proceeded. Snoring increased, but witnessed apneas remained rare. Nevertheless, morning (p = 0.019) and daytime (p < 0.001) sleepiness decreased from early to both mid-pregnancy and late pregnancy (p = 0.006 and p = 0.039). Women took more naps in early and late pregnancy compared to mid-pregnancy (both p < 0.001). Women with higher baseline anxiety symptoms had greater increase in sleep latency. At each pregnancy point, higher depressive and anxiety symptoms were associated with higher insomnia (p < 0.001) and sleepiness scores (p < 0.001) and higher depressive symptoms with longer sleep latencies (p < 0.001).

CONCLUSION

We found a marked increase in insomnia symptoms throughout pregnancy. However, sleepiness symptoms did not increase correspondingly. Both depressive and anxiety symptoms in early pregnancy were associated with higher insomnia and sleepiness symptoms in later stages of pregnancy which emphasizes the importance of their assessment in early pregnancy.

Quality of sleep and quality of life measured monthly in pregnant women in South Korea

PURPOSE

The change in sleep patterns across the duration of pregnancy is an item of interest. The aim of this study is to provide data on pregnant women's quality of sleep (QoS) and quality of life (QoL) to determine appropriate times to screen for potential problems.

METHODS

This is a multicenter, prospective, longitudinal observational study. Primigravidae, with no previous illness, completed questionnaires once a month. Strict exclusion criteria were applied in order to evaluate QoS and QoL in "normal" pregnant women.

RESULTS

A total of 83 normal primigravidae completed this study. The mean age was 33.1 ± 4.0. During pregnancy, body mass index gradually increased, and QoS worsened to a significant degree between the fifth and ninth months (Pittsburgh Sleep Quality Index 6.8 ± 2.8 vs. 8.9 ± 3.6, p < 0.001). There was a statistically significant difference in QoL between the fifth and seventh months (Short Form-36 70.8 ± 18.3 vs. 67.3 ± 15.1, p = 0.009). There was no evidence of significant depression or suspicion of sleep-disordered breathing.

CONCLUSIONS

Pregnant women in South Korea have gradual worsening of QoS which becomes clinically significant by full term. QoL changes significantly between the fifth and seventh months. The results of this observational study suggest that it would be fruitful to evaluate QoS and QoL in pregnant women between the second and third trimesters.

Delayed sleep timing and circadian rhythms in pregnancy and transdiagnostic symptoms associated with postpartum depression

Later sleep timing, circadian preference, and circadian rhythm timing predict worse outcomes across multiple domains, including mood disorders, substance use, impulse control, and cognitive function. Disturbed sleep is common among pregnant and postpartum women. We examined whether sleep timing during third trimester of pregnancy predicted postpartum symptoms of mania, depression, and obsessive-compulsive disorder (OCD). Fifty-one women with a previous, but not active, episode of unipolar or bipolar depression had symptoms evaluated and sleep recorded with wrist actigraphy at 33 weeks of gestation and 2, 6, and 16 weeks postpartum. Circadian phase was measured in a subset of women using salivary dim light melatonin onset (DLMO). We divided the sample into "early sleep" and "late sleep" groups using average sleep onset time at 33 weeks of gestation, defined by the median-split time of 11:27 p.m. The "late sleep" group reported significantly more manic and depressive symptoms at postpartum week 2. Longer phase angle between DLMO and sleep onset at 33 weeks was associated with more manic symptoms at postpartum week 2 and more obsessive-compulsive symptoms at week 6. Delayed sleep timing in this sample of at-risk women was associated with more symptoms of mania, depression, and OCD in the postpartum period. Sleep timing may be a modifiable risk factor for postpartum depression.

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.

Prevalence of perinatal depression among Japanese women: a meta-analysis

BACKGROUND

Perinatal depression is one of the important mental illnesses among women. However, not enough reviews have been done, and a certain consensus has not been obtained about the prevalence of perinatal depression among Japanese women. The purpose of our study is to reveal the reliable estimates about the prevalence of perinatal depression among Japanese women.

METHOD

We searched two databases, PubMed and ICHUSHI, to identify studies published from January 1994 to December 2017 with data on the prevalence of antenatal or postnatal depression. Data were extracted from published reports.

RESULTS

We reviewed 1317 abstracts, retrieved 301 articles and included 123 studies. The point prevalence of postpartum depression at 1 month was 14.3% incorporating 108,431 Japanese women. The period prevalence of depression at pregnancy was 14.0% in the second trimester and 16.3% in the third trimester. The period prevalence of postpartum depression was 15.1% within the first month, 11.6% in 1-3 months, 11.5% in 3-6 months and 11.5% in 6-12 months after birth. We also identified that compared with multiparas, primiparas was significantly associated with a higher prevalence of postpartum depression; the adjusted relative risk was 1.76.

CONCLUSIONS

The prevalence of postpartum depression at 1 month after childbirth was found to be 14.3% among Japanese women. During pregnancy, the prevalence of depression increases as childbirth approaches, and the prevalence of depression was found to decrease in the postpartum period over time. In addition, we found that the prevalence of postpartum depression in primiparas was higher than that in multiparas. Hence, we suggest that healthcare professionals need to pay more attention to primiparas than multiparas regarding postpartum depression.

Acute sleep deprivation during pregnancy in rats: Rapid elevation of placental and fetal inflammation and kynurenic acid

The kynurenine pathway (KP) is the dominant pathway for tryptophan degradation in the mammalian body and emerging evidence suggests that acute episodes of sleep deprivation (SD) disrupt tryptophan metabolism via the KP. Increases in the neuroactive KP metabolite kynurenic acid (KYNA) during pregnancy may lead to a higher risk for disrupted neurodevelopment in the offspring. As pregnancy is a critical period during which several factors, including sleep disruptions, could disrupt the fetal environment, we presently explored the relationship between maternal SD and KP metabolism and immune pathways in maternal, placenta, and fetal tissues. Pregnant Wistar rat dams were sleep deprived by gentle handling for 5 h from zeitgeber time (ZT) 0 to ZT 5. Experimental cohorts included: i) controls, ii) one session of SD on embryonic day (ED) 18 or iii) three sessions of SD occurring daily on ED 16, ED 17 and ED 18. Maternal (plasma, brain), placental and fetal (plasma, brain) tissues were collected immediately after the last session of SD or after 24 h of recovery from SD. Respective controls were euthanized at ZT 5 on ED 18 or ED 19. Maternal plasma corticosterone and fetal brain KYNA were significantly elevated only after one session of SD on ED 18. Importantly, maternal plasma corticosterone levels correlated significantly with fetal brain KYNA levels. In addition, placental levels of the proinflammatory cytokines interleukin-1β (IL-1β) and interleukin-6 (IL-6) were increased following maternal SD, suggesting a relationship between placental immune response to SD and fetal brain KYNA accumulation. Collectively, our results demonstrate that sleep loss during the last week of gestation can adversely impact maternal stress, placental immune function, and fetal brain KYNA levels. We introduce KYNA as a novel molecular target influenced by sleep loss during pregnancy.

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Prenatal sleep deprivation influences kynurenine pathway metabolism in utero.

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Fetal brain kynurenic acid (KYNA) is elevated after maternal sleep deprivation.

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Maternal plasma corticosterone is increased after sleep deprivation.

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Prenatal sleep deprivation induces placental and fetal brain cytokines.

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These data support an interplay with stress, in utero inflammation, and KYNA.