Sleep quality across pregnancy and postpartum: effects of parity and race

Sleep Characteristics During the First Year Postpartum in a Cohort of Black and White Women

Study Objectives

The postpartum period is a unique time when sleep deficiency often occurs. Black and White adults are reported to have differences in sleep characteristics, but little is known if these differences exist in the postpartum period. Therefore, the purpose of this study was to examine sleep characteristics in a cohort of Black and White women from 6-8 weeks to 12 months postpartum.

Methods

Participants were 49 Black and 85 White women who gave birth to an infant at ≥37 weeks gestation. Participants were instructed to wear an Actiwatch for 7 days at 6-8 weeks, 4, 6, 9, and 12 months postpartum. Mixed-effects linear models with a race by time interaction were used to examine if characteristics differed between races over time.

Results

Only bedtime varied by race. White women had a later bedtime at 6-8 weeks compared to 6 months, but no significant change occurred for Black women. For the entire sample, average nighttime sleep duration increased from 385 minutes at 6-8 weeks to 404 minutes at 4 months postpartum. Percent sleep during the sleep interval and wake after sleep onset (WASO) improved by 6 and 9 months, respectively. However, average WASO remained >45 minutes and sleep efficiency <85% at all timepoints for both Black and White women. Compared to White women, Black women had significantly shorter sleep duration (range: 40.6-59.9 minutes shorter across all timepoints, p<0.0001) and time in bed (range: 17.5-67.6 minutes shorter, p=0.0046), and lower percent sleep (range: 0.7%-1.2% lower, p=0.0407) and sleep efficiency (range: 2.6%-5.7% lower, p=0.0005). Sociodemographic factors were associated with sleep outcomes in Black and White women while behavioral factors were associated with sleep outcomes in White women only.

Conclusion

While there were improvements in nighttime sleep duration and quality, sleep duration remained suboptimal, and quality remained poor throughout the first year postpartum. In this sample, differences existed in factors associated with sleep outcomes between Black and White women.

Pathways to maternal health inequities: Structural racism, sleep, and physiological stress

Racial inequities in health are vast and well-documented, particularly regarding maternal and infant health. Sleep health, including but not limited to duration and quality, is central to overall health and well-being. However, research has not adequately addressed how racism embedded in structures and systems, in addition to individual experiences, may affect maternal health by impacting sleep. In this critical review, we aim to 1) synthesize findings, emphasizing collaborative studies within our group, 2) highlight gaps in knowledge, and 3) propose a theoretical framework and methodological approach for moving the field forward. Specifically, we focus on findings and future directions linking perinatal sleep, cardiovascular and immune function, and racial disparities in maternal health. Because too few studies look beyond individual-level determinants of sleep deficiencies among Black Americans, we assert a critical need for research that bridges multiple levels of analysis (e.g., individual, community, society) and provides recommendations for specific health parameters that researchers in this area can target. Although the need to understand and address perinatal health disparities is clear, the goal of identifying multilevel mechanisms underlying how racism in one's environment and daily life may interact to affect health extends far beyond pregnancy research.

Determinants of sleep quality among pregnant women in a selected institution in the Southern province, Sri Lanka

BACKGROUND

Sleep is a vital requirement during pregnancy for the betterment of the fetus and the mother. Sleep quality could vary due to pregnancy-specific psychological and physiological changes. To introduce a tailored programme to enhance the sleep quality of mothers, it is paramount to assess the sleep quality and determinants of sleep. Therefore, this study aimed to assess the determinants of sleep quality among pregnant women in a selected institution in the Southern province of Sri Lanka.

METHODS

Hospital-based cross-sectional study was carried out with 245 antenatal women, selected using a systematic random sampling method. A pretested self-administered questionnaire was used to collect data which contains four parts. Below variables were involved and both continuous and categorical data were collected as required. 'Maternal sleep quality, socio-demographic data and gestational age, maternal depression and anxiety.' Data were analyzed using IBM SPSS version 25.0 for Windows by using descriptive statistics, Pearson's Chi-square test, and independent sample T-test (p < 0.05). Logistic regression analysis was used to find the relationship with sleep quality and other variables. P-value of less than 0.05 was considered statistically significant, at 95% CI.

RESULTS

The majority of women (60.8%) had good sleep quality and they didn't have either depressive symptoms (63.4%) or anxiety (64.2%). Aged between 34-41 years and third-trimester women had higher rates of poor sleep quality. Varying quality of sleep was identified among three-trimesters with subjective sleep quality, sleep latency, habitual sleep efficiency, and sleep disturbances. In comparison with the first and second trimester, pregnant women in the third trimester had higher score of global PSQI (5.22 ± 2.35), subjective sleep quality (1.23 ± 0.70), sleep latency (1.25 ± 0.86), habitual sleep efficiency (0.14 ± 0.43), and sleep disturbances (1.39 ± 0.58). There was a significant association between gestational age (P = .006), maternal age (P = .009), antenatal depression (P = .034), and anxiety (P = .013) with sleep quality. However, multinomial logistic regression revealed that only gestational age affected on quality of sleep. The first trimester was a protective factor for good quality sleep (Adjusted OR = 3.156) compared to the other two trimesters.

CONCLUSION

This study revealed that the majority of women had good sleep quality but quality of sleep was deprived with gestational age. It is expected that the findings of this research will be helpful for health and social care policymakers when formulating guidelines and interventions regarding improving the quality of sleep among pregnant women in Sri Lanka.

Establishing causal relationships between insomnia and gestational diabetes mellitus using Mendelian randomization

Background

Gestational diabetes mellitus (GDM) is a common condition observed globally, and previous studies have suggested a link between GDM and insomnia. The objective of this study was to elucidate the causative relationship between insomnia and GDM, and to investigate the influence of factors related to insomnia on GDM.

Methods

We performed bidirectional Mendelian randomization (MR) analyses using single nucleotide polymorphisms (SNPs) as genetic instruments for exposure and mediators, thereby minimizing bias due to confounding and reverse causation. The Cochran Q test was utilized for heterogeneity analysis, MR-Egger regression for pleiotropy assessment, and the leave-one-out method for evaluating the robustness of the results. Additionally, we determined the causal relationships between GDM and other factors such as coffee consumption, alcohol intake, and household income.

Results

Insomnia was positively associated with GDM, as indicated by 39 SNPs (OR = 1.27, 95 % CI 1.12-1.439, P-value = 0.008). Conversely, the MR analysis did not reveal any causal relationship between GDM and insomnia (OR = 1.032, 95 % CI 0.994-1.071, P-value = 0.99). Additionally, no causal relationship was observed between coffee consumption, alcohol intake, household income, and GDM (all P-values >0.05).

Conclusion

Our study indicates that insomnia elevates the risk of GDM, thereby establishing a causal link with GDM, independent of coffee consumption, alcohol intake, and household income.

Factors associated with postpartum fatigue: an exploration of the moderating role of resilience

Background

Postpartum fatigue (PPF) can impair the physical and mental well-being of women. The aims of this study were to assess the associations between fatigue and maternal health-related variables, specifically, sleep quality, depression symptoms, and resilience, and to explore the moderating role of resilience in the relationships between sleep quality, depression symptoms, and fatigue.

Methods

This cross-sectional study used data collected from mothers during the postpartum period via an online platform. PPF was assessed using the Fatigue Severity Scale, whereas sleep quality and depression symptoms were assessed using the Pittsburgh Sleep Quality Index and Edinburgh Postnatal Depression Scale, respectively. The Brief Resilience Scale was used to assess resilience. Simple and multiple binary logistic regression analyses were performed to examine the association of each independent variable with PPF and to determine the most significant predictors of PFF. The data were analyzed using SPSS, and structural equation modeling was performed using AMOS 23. A moderation analysis was performed to explore the moderating role of resilience using the Hayes PROCESS macro.

Results

A total of 1,443 postpartum mothers were included in the analysis. The simple binary logistic regression analysis showed that having chronic disease (odds: 1.52; p = 0.02), mother's age (odds: 0.97; p = 0.03), mother's body mass index (BMI; odds: 1.03; p = 0.01), depression symptoms (odds: 1.09; p ≤ 0.0001), sleep quality (odds: 1.17; p ≤ 0.0001), and resilience (odds: 0.42; p ≤ 0.0001) all contributed to fatigue during postpartum. Multivariate logistic regression showed that the mother's BMI, sleep quality, depression symptoms, and resilience were significant predictors of PPF. Moderation analyses showed that resilience was not a significant moderator between the main effects of sleep quality and fatigue (interaction effect: β = 0.01, p = 0.31, 95% CI: -0.01 to 0.04) or between the main effects of depression symptoms and fatigue during postpartum (interaction effect: β = 0.01, p = 0.82, 95% CI: -0.01 to 0.02).

Conclusion

Given the deleterious effects of PPF on maternal health outcomes, factors associated with PPF should be assessed regularly. In addition to mothers' BMI, sleep quality, and depression symptoms, resilience could also be a crucial factor in predicting fatigue severity during this critical time for mothers even though it was not a significant moderator among this sample.

Sleep and circadian rhythms during pregnancy, social disadvantage, and alterations in brain development in neonates

Pregnant women in poverty may be especially likely to experience sleep and circadian rhythm disturbances, which may have downstream effects on fetal neurodevelopment. However, the associations between sleep and circadian rhythm disturbances, social disadvantage during pregnancy, and neonatal brain structure remains poorly understood. The current study explored the association between maternal sleep and circadian rhythm disturbances during pregnancy and neonatal brain outcomes, examining sleep and circadian rhythm disturbances as a mediator of the effect of social disadvantage during pregnancy on infant structural brain outcomes. The study included 148 mother-infant dyads, recruited during early pregnancy, who had both actigraphy and neuroimaging data. Mothers' sleep was assessed throughout their pregnancy using actigraphy, and neonates underwent brain magnetic resonance imaging in the first weeks of life. Neonatal structural brain outcomes included cortical gray matter, subcortical gray matter, and white matter volumes along with a measure of the total surface area of the cortex. Neonates of mothers who experienced greater inter-daily deviations in sleep duration had smaller total cortical gray and white matter volumes and reduced cortical surface areas. Neonates of mothers who had higher levels of circadian misalignment and later sleep timing during pregnancy showed smaller subcortical gray matter volumes. Inter-daily deviations in sleep duration during pregnancy mediated the association between maternal social disadvantage and neonatal structural brain outcomes. Findings highlight the importance of regularity and rhythmicity in sleep schedules during pregnancy and bring to light the role of chronodisruption as a potential mechanism underlying the deleterious neurodevelopmental effects of prenatal adversity. RESEARCH HIGHLIGHTS: Social disadvantage was associated with sleep and circadian rhythm disturbances during pregnancy, including later sleep schedules, increased variability in sleep duration, circadian misalignment, and a higher proportion of the sleep period spent awake. Maternal sleep and circadian rhythm disturbances during pregnancy were associated with decreased brain volume and reduced cortical surface area in neonates. Maternal inter-daily deviations in sleep duration during pregnancy mediated the association between social disadvantage and neonatal brain volume and cortical surface area.

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.

Breastfeeding self-efficacy in terms of sleep quality, perceived social support, depression and certain variables: a cross-sectional study of postpartum women in Turkey

BACKGROUND

Breastfeeding self-efficacy is one of the key factors that affect a healthy and successful breastfeeding process. A mother's belief regarding her ability to breastfeed is influenced by social and psychological factors. This study aimed to investigate the breastfeeding self-efficacy levels of postpartum women, the factors affecting this, and its relationship with sleep quality, social support and depression.

METHODS

This descriptive cross-sectional study was conducted in the pediatric department of a tertiary hospital in Ankara, Turkey. Data were collected from 200 postpartum women using the Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF), the Pittsburgh Sleep Quality Index (PSQI), the Multidimensional Scale of Perceived Social Support (MSPSS) and the Edinburgh Postnatal Depression Scale (EPDS).

RESULTS

The mean scores of the BSES-SF, PSQI, MSPSS and EPDS were 59.05 ± 8.28, 9.18 ± 3.67, 57.82 ± 18.81, and 8.98 ± 5.89, respectively. A statistically significant negative correlation was found among the BSES-SF, EPDS (r = -0.445, p = 0.001) and PSQI (r = -0.612, p = 0.004), while a positive correlation was found among the BSES-SF, total MSPSS (r = 0.341, p = 0.036), and family support (r = 0.373, p = 0.014) (p < 0.05). In addition, a statistically significant difference was found between the number of births and breastfeeding self-efficacy (F = 3.68; p = 0.001). The linear regression analysis revealed that sleep quality (β = -0.491, p = 0.001), perceived social support (β = 0.146, p = 0.015), family support (β = 0.153, p = 0.013), and depression (β = -0.228, p = 0.001) emerged as the predictors of breastfeeding self-efficacy.

CONCLUSIONS

In this study, the increase in sleep quality and perceived social support positively affected the breastfeeding self-efficacy of postpartum women, while giving birth for the first time and an increase in the risk of depression were negatively affected.

Parent-child associations of sleep quality: is physical activity a confounder? The EPI-FAMILY health study

INTRODUCTION

The incidence of sleep deprivation has increased in pediatric populations, however, the relationship with physical activity (PA) remains uncertain and lacks evidence. Although some studies have shown that parents' lifestyle habits can influence this process, one point that requires further clarification in the literature is whether parents' sleep quality is linked to that of their children and whether parents' physical activity could play an important role in these possible relationships.

OBJECTIVES

To investigate the relationship of sleep quality between parents and children and verify the role of physical activity in this association.

METHODS

This is a cross-sectional study. Sleep quality was assessed using the Mini Sleep Questionnaire. The amount of sleep was estimated by the number of hours slept. PA domains (occupational activities, leisure, and active commuting) were assessed using the Baecke questionnaire, while moderate to vigorous PA (MVPA) was assessed with an accelerometer. Socioeconomic status was obtained through a questionnaire. The relationship of sleep quality between parents and children was carried out using hierarchical models with Binary Logistic Regression, where the factors were inserted one by one (1. unadjusted model; 2. sociodemographic variables; 3. children's PA; 4. parents' PA).

RESULTS

The study sample consisted of 102 children and adolescents (6-17 years), 92 mothers, and 69 fathers. Poor sleep quality of mothers was associated with their children's sleep quality (OR = 3.95; 95%CI = 1.33-11.38; P = 0.013). After inserting mothers' PA intensity into the final model, the associations remained significant (OR = 8.05; 1.33-48.59; P = 0.023). No relationship was observed between poor sleep quality of fathers and their children's sleep quality.

CONCLUSION

The relationship between poor sleep quality of mothers and that of their children remained significant, regardless of confounding variables.

Influencing factors of sleep quality in pregnant: a structural equation model approach

BACKGROUND

To describe the changes in the level of sleep quality during pregnancy among pregnant women in Urumqi; also to construct a structural equation model of the factors influencing the sleep quality of pregnant women, to analyze the path relationship between the influencing factors, and to take reasonable interventions to prevent and reduce the occurrence of sleep disorders among pregnant women.

METHODS

986 pregnant women who gave birth in Urumqi Maternal and Child Health Hospital and Urumqi Youai Hospital between August 2021 and May 2023 were selected. The Pittsburgh Sleep Quality Index (PSQI), Self-Rating Anxiety Scale (SAS), and Edinburgh Postpartum Depression Scale (EPDS) were used to assess the sleep, anxiety, and depression of pregnant women, Building a structural equation model based on AMOS 23.0 Tools.

RESULTS

The results of structural equation modeling showed that: basic characteristics, obstetrical characteristics, tocolysis, lifestyle, psychological had a direct effect on the PSQI, with path coefficients of 0.243, 0.106, 0.140, 0.174, 0.658, the corresponding T-values for each path are 4.585, 2.677, 2.578, 2.297, and 9.036. The indirect effect of basic characteristics, obstetric characteristics and lifestyle on PSQI was 0.123, 0.020, 0.027.

CONCLUSIONS

The high incidence of sleep disorders in pregnant women and their close association with psychological symptoms in pregnant women should focus on screening and counseling regarding psychological disorders in pregnant women, thus improving the quality of sleep in pregnant women.

Parents' Sleep Multi-Trajectory Modelling from 3 to 36 Months Postpartum in the SEPAGES Cohort

Objective

We investigated maternal and paternal sleep evolution from 3 to 36 months postpartum, their interrelations and predictors in the SEPAGES cohort.

Methods

Sleep information (night sleep duration [NSD], weekend daytime sleep duration [DSD] and subjective sleep loss [SSL]) was collected by self-administered questionnaires at 3, 18, 24 and 36 months postpartum in the SEPAGES French cohort that included 484 mothers and 410 fathers. Group-based multi-trajectory modelling was used to identify maternal, paternal and couple sleep multi-trajectory groups among 188 couples reporting sleep data for at least 2 time points. Multinomial logistic regression was used to assess associations between parental sleep multi-trajectories and early characteristics such as sociodemographic, chronotypes, child sex, birth seasonality or breastfeeding duration.

Results

We identified three maternal (M1-M3), paternal (F1-F3) and couple (C1-C3) sleep multi-trajectory groups with similar characteristics: a group with short NSD and high SSL prevalence (M1, F2, C2), a group with long NSD but medium SSL prevalence (M2, F3, C3) and a group with long NSD and low SSL prevalence (M3, F1, C1). Mothers with the shortest NSD (M1) were less likely to have a partner with long NSD (F2). As compared with long NSD and low SSL prevalence (C1), couples with short NSD and high SSL prevalence (C2) were less likely to have had a first child born in the autumn and fathers in C2 had a later chronotype.

Conclusion

We identified distinct sleep multi-trajectory groups for mothers, fathers and couples from 3- to 36-month postpartum. Sleep patterns within couples were homogeneous.

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.

Maternal Sleeping Problems Before and After Childbirth - A Systematic Review

The perinatal and postpartum period is of great significance for women due to physiological changes, shifts in circadian rhythms, social setting, and psychological well-being, all of which affect the quality and quantity of their sleep. A mixed-studies systematic review was undertaken to enhance our understanding of sleep disturbances and mood disorders in women in late pregnancy and the postpartum period, their connection with breastfeeding, and the assessment of interventions for sleep disturbance. Three electronic databases (PUBMED, EMBASE and Google Scholar) were searched for qualitative, observational, and mixed-method studies from the year 2016 to June 2023. Twenty-nine articles were included in the analysis. The results were synthesized into four overarching themes: (і) the sleep quality of women in the perinatal period; (ii) the relationship between sleep and breastfeeding; (iii) the relationship between sleep quality and emotional disturbance in the perinatal period; (iv) sleep interventions in the researched group. The subjective nature of the perception of sleep disturbances, along with the absence of an objective measurement tool is clearly an inconvenience. It is advisable to include the assessment of maternal sleep hygiene and family sleep patterns during postpartum healthcare provider appointments to develop strategies not only for women's sleep quality but also for their mental well-being.

The Effect of Sleep Enhancement Educational Program on Maternal Sleep Quality for Nulliparous Pregnant Women: A Randomized-Controlled Trial

BACKGROUND

Pregnancy is a critical period during which women usually do not prefer taking medication. Therefore, non-pharmacological and safe methods are needed to improve sleep quality during pregnancy. This study aims to identify whether an educational program on sleep enhancement for pregnant women has any effect on maternal sleep quality.

METHOD

This was a randomized-controlled trial. Pregnant women (N = 181) were divided into two groups, an intervention group (n = 90) and a control group (n = 91). A two-session educational program for the enhancement of sleep quality was provided to the intervention group, whereas solely the routine practices of the hospital were put in place for the control group.

RESULTS

The intervention group had a significantly lower mean Pittsburgh Sleep Quality Index score, and accordingly, better sleep quality than the control group. Participation in the education program was significantly related to sleep quality and accounted for 6% of the total variance in sleep quality (R2 = 0.055) (p < 0.001).

CONCLUSION

It was concluded that the educational program on sleep enhancement implemented to improve the sleep quality of pregnant women enhanced maternal sleep quality.

TRIAL REGISTRATION

URL:  clinicaltrials.gov .

REGISTRATION NUMBER

NCT04262349.

The Association between Sleep and Depression during Late Pregnancy and the Early Postpartum Period

Objective  To assess and correlate sleep quality and depressed mood symptoms in the late pregnancy and early postpartum periods. Study Design  In a prospective pilot observational study, participants completed the Pittsburgh Sleep Quality Index (PSQI) and the Edinburgh Postnatal Depression Scale (EPDS) questionnaires at delivery, 1, and 2 months postpartum. Pearson's correlation coefficients and PROC MIXED function estimated overall correlation for repeated measures. Results  Twenty-six women were enrolled with a mean gestational age at delivery of 38.4 (± 2.4) weeks. Sleep quality and mood data were available at the three time points for 24, 16, and 11 participants, respectively. Poor sleep scores were noted by 75.0, 87.5, and 72.7% of women at the three time points. An elevated EPDS score of 10 or higher was claimed by 20.8, 12.5, and 18.2% of women, respectively. Higher PSQI scores were positively associated with higher EPDS scores overall ( r  = 0.71, p  < 0.001) and at each of the individual time points ( r  = 0.79, p  < 0.0001; r  = 0.52, p  = 0.04; and r  = 0.70, p  = 0.016, respectively). None of the women reporting good sleep quality had elevated EPDS scores. Conclusion  Poor sleep is commonly reported around delivery, and at 1 and 2 months postpartum, and there is an association between poor sleep and depression symptoms.

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.

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.

Pregnant Women's Attitudes and Beliefs towards Sleep and Exercise: A Cross-Sectional Survey

As many as 80% of women report experiencing poor sleep throughout pregnancy. Exercise is associated with many health benefits during pregnancy and is established as a non-pharmacological method to improve sleep in both pregnant and non-pregnant populations. Given the importance of sleep and exercise during pregnancy, the aim of this cross-sectional study was to (1) examine pregnant women's attitudes and beliefs towards sleep and exercise during pregnancy, and (2) investigate the barriers women face to achieving good sleep and engaging in healthy levels of exercise. Participants were comprised of 258 pregnant Australian women (31.3 ± 5.1 years) who completed a 51-question online survey. Almost all (98%) participants believed exercise during pregnancy to be safe, whilst over half (67%) believed participating in more exercise will improve their sleep. Over 70% of participants reported experiencing barriers such as physical symptoms related to pregnancy that negatively impacted their ability to exercise. Almost all (95%) participants reported experiencing barriers to sleep in their current pregnancy. Present findings suggest that overcoming intrapersonal barriers should be a priority for any intervention aiming to improve sleep or increase exercise levels in pregnant populations. Findings from the present study highlight the need for a better understanding of women's sleep experiences during pregnancy, and demonstrate how exercise may improve sleep and health outcomes.

The relationship between fatigue, sleep quality, resilience, and the risk of postpartum depression: an emphasis on maternal mental health

BACKGROUND

Several factors can contribute to the development of postpartum depression (PPD) and negatively affect mothers' mental and physical well-being. The objective of this study was to determine the relationship between fatigue, sleep quality, resilience, and the risk of PPD development.

METHODS

A cross-sectional study was conducted using an online questionnaire distributed to mothers during their postpartum period. The risk of PPD was assessed using the Edinburgh Postnatal Depression Scale (EPDS), postpartum fatigue (PPF) was assessed using the Fatigue Severity Scale (FSS), sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and resilience was assessed using the Brief Resilience Scale (BRS). The Pearson correlation coefficient was calculated to determine the relationship between the study variables. Simple and multiple linear regression analyses were performed to explain the contributions of PPF, sleep quality, and resilience as independent predictors of PPD development.

RESULTS

A total of 1409 postpartum women were included in the analysis, with 75% of the participants reporting a risk of PPD, 61% reporting PPF, 97% reporting having sleep problems, and 36% being in the "low resilience level" category. In terms of correlations, the scores of FSS and the PSQI showed moderate positive relationships with the EPDS scores (r = 0.344 and r = 0.447, respectively, p = .000). The BRS scores were negatively associated with the EPDS scores (r = -0.530, p = 0.000). Fatigue, sleep quality, and resilience were predictors of depressive symptoms (β = 0.127, β = 0.262, and β = -0.393, respectively, R² = 0.37, p = 0.000). The association remained significant in the regression model after adjusting for mother's age, mother's BMI, child's age, smoking status, full-term pregnancy, having a chronic disease, and taking anti-depressant.

CONCLUSIONS

Mothers with higher levels of fatigue, poor sleep quality, and low resilience levels were at high risk of developing PPD. Healthcare providers should identify these factors and thus set better rehabilitation goals to improve overall maternal health.

Dietary Inflammatory Index and sleep quality and duration among pregnant women with overweight or obesity

STUDY OBJECTIVES

Sleep disturbances, which can worsen during pregnancy, have been linked to inflammatory processes. This study tested the hypothesis that more pro-inflammatory diets during pregnancy are associated with a decrease in sleep quality and shorter sleep duration.

METHODS

The Health in Pregnancy and Postpartum study promoted a healthy lifestyle in pregnant women with pre-pregnancy overweight or obesity (n = 207). Data from <16 weeks and 32 weeks gestation were used. Sleep was measured using BodyMedia's SenseWear® armband. Diet was assessed using two 24-hr dietary recalls. Energy-density Dietary Inflammatory Index (E-DIITM) scores were calculated from micro and macronutrients. Linear mixed-effects models estimated the impact of the E-DII score on sleep parameters.

RESULTS

Women with more pro-inflammatory diets, compared to those with more anti-inflammatory diets, were more likely to be nulliparous (51% vs. 25%, p = 0.03), frequent consumers of fast food (29% vs. 10% consuming on 4-6 days during the previous week, p = 0.01), ever-smokers (21% vs. 6%, p = 0.02), and younger (mean age 29.2 vs. 31.3 years, p = 0.02). For every one-unit increase (i.e., more pro-inflammatory) in the E-DII score, sleep latency increased by 0.69 min (p < 0.01). Among European Americans only, every one-unit higher E-DII was associated with a 2.92-min longer wake-after-sleep-onset (p = 0.02).

CONCLUSION

An E-DII score that is 5 points lower (i.e., more anti-inflammatory) would equate to about 105 min of additional sleep per week among European American women. Anti-inflammatory diets may help to counteract detriments in sleep during pregnancy, especially among European American women. Additional work is needed among African American women.

CLINICAL TRIALS IDENTIFIER

Name: Promoting Health in Pregnancy and Postpartum (HIPP); URL: https://clinicaltrials.gov/ct2/show/NCT02260518; Registration Identifier: NCT02260518.

Discrimination is associated with poor sleep quality in pregnant Black American women

BACKGROUND

Heightened exposure to racial/ethnic discrimination is associated with poorer sleep health among non-pregnant adults. This relationship has received limited research attention among pregnant women, despite the importance of prenatal sleep quality for optimal maternal and child health outcomes.

METHODS

We utilized perinatal data from a sample of Black American women (n = 600) participating in a cohort study who reported their lifetime experiences of racial/ethnic discrimination and gendered racial stress during early pregnancy and reported on their sleep quality and depressive symptoms during early and mid-pregnancy. Hierarchical multiple linear regression models were fit to examine associations between lifetime experiences of racial/ethnic discrimination or gendered racial stress and sleep quality during early and mid-pregnancy. We also adjusted for women's concurrent depressive symptoms and tested whether the discrimination/sleep quality association varied by socioeconomic status.

RESULTS

Greater exposure to racial/ethnic discrimination was associated with poorer sleep quality during early (ΔR2 = 0.04, ΔF = 26.08, p < 0.001) and mid-pregnancy (ΔR2 = 0.02, ΔF = 9.88, p = 0.002). Similarly, greater gendered racial stress was associated with poorer sleep quality during early (ΔR2 = 0.10, ΔF = 65.72, p < 0.001) and mid-pregnancy (ΔR2 = 0.06, ΔF = 40.43, p < 0.001. These findings largely held after adjustment for concurrent prenatal depressive symptoms. Socioeconomic status did not modify the observed relationships.

CONCLUSIONS

Efforts to decrease institutional and interpersonal experiences of racial/ethnic discrimination and gendered racism would benefit the sleep quality of pregnant Black American women, particularly during early pregnancy.

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.

Racial/ethnic disparities in subjective sleep duration, sleep quality, and sleep disturbances during pregnancy: an ECHO study

In the United States, racial/ethnic minoritized groups experience worse sleep than non-Hispanic Whites (nHW), but less is known about pregnant people. This is a key consideration since poor sleep during pregnancy is common and associated with increased risk of adverse perinatal outcomes. This study reports the prevalence of subjective sleep measures in a multi-racial/ethnic pregnant population from the Environmental influences on Child Health Outcomes (ECHO) program. Participants' self-reported race and ethnicity were grouped into: nHW, non-Hispanic Black/African American (nHB/AA), Hispanic, non-Hispanic Asian (nHA). Analyses examined trimester-specific (first (T1), second (T2), third (T3)) nocturnal sleep duration, quality, and disturbances (Pittsburgh Sleep Quality Index and ECHO maternal sleep health questionnaire). Linear or multinomial regressions estimated the associations between race/ethnicity and each sleep domain by trimester, controlling for body mass index and age, with nHW as reference group. We repeated analyses within maternal education strata. nHB/AA participants reported shorter sleep duration (T2: β = -0.55 [-0.80,-0.31]; T3: β = -0.65 [-0.99,-0.31]) and more sleep disturbances (T2: β = 1.92 [1.09,2.75]; T3: β = 1.41 [0.09,2.74]). Hispanic participants reported longer sleep duration (T1: β = 0.22 [0.00004,0.44]; T2: β = 0.61 [0.47,0.76]; T3: β = 0.46 [0.22,0.70]), better sleep quality (Reference group: Very good. Fairly good T1: OR = 0.48 [0.32,0.73], T2: OR = 0.36 [0.26,0.48], T3: OR = 0.31 [0.18,0.52]. Fairly bad T1: OR = 0.27 [0.16,0.44], T2: OR = 0.46 [0.31, 0.67], T3: OR = 0.31 [0.17,0.55]), and fewer sleep disturbances (T2: β = -0.5 [-1.0,-0.12]; T3: β = -1.21 [-2.07,-0.35]). Differences persisted within the high-SES subsample. Given the stark racial/ethnic disparities in perinatal outcomes and their associations with sleep health, further research is warranted to investigate the determinants of these disparities.

Does breastfeeding influence sleep? A longitudinal study across the first two postpartum years

BACKGROUND

The association between breastfeeding and sleep of the gestational parent is poorly understood. This longitudinal study investigated how breastfeeding is associated with total nighttime sleep duration and sleep efficiency (percentage of total sleep time in bed) in nulliparous participants over the first two postpartum years.

METHODS

Nulliparous participants (N = 155, M_age  = 33.45, SD_age  = 3.50) self-reported patterns of breastfeeding via telephone interviews and sleep via self-report at 1.5, 3, 6, 12 and 24 months postpartum. Data were analyzed using mixed-effects models, with breastfeeding variables as predictors and sleep variables as outcomes, controlling for relevant covariates.

RESULTS

Neither the presence of breastfeeding nor the percentage of human milk in infants' total diets was significantly associated with participants' sleep duration or sleep quality (P-values > 0.08). This finding held after controlling for the number of nighttime feeds (P-values > 0.11). However, greater numbers of nighttime feeds, regardless of feeding content, were strongly associated with shorter sleep duration and poor sleep efficiency (P-values < 0.05). On average, with each additional nighttime feed, nocturnal sleep duration decreased by 6.6-8.4 minutes, and sleep efficiency decreased by 2.88%-3.02%.

CONCLUSIONS

Data from this study showed that breastfeeding per se was not associated with shorter or poor nocturnal sleep, but the number of nighttime feeds was. Sharing nighttime infant care amongst different carers in the household could help reduce postpartum sleep disturbance and ameliorate its negative impact on wellbeing.

Poor sleep quality and associated factors among HIV-positive pregnant women in Northwest, Ethiopia: a facility-based, cross-sectional study

BACKGROUND

Poor sleep quality during pregnancy might have an impact on adverse birth outcomes like premature rupture of membrane, preterm birth, lifelong neurocognitive impairment, low birth weight, and increased the risk of neonatal morbidity and mortality. In Ethiopia, the magnitude of poor sleep quality among this group of people is extremely limited. So, this study aims to determine the magnitude of poor sleep quality and its associated factors among HIV-positive pregnant women attending public hospitals in Northwest Ethiopia.

METHODS

An institution-based cross-sectional study was done using a simple random sampling technique to recruit 411 HIV-positive pregnant women from January to March; 2021. Sleep quality over the last 1 month was measured using the Pittsburgh Sleep Quality Index (PSQI). General anxiety disorder (GAD-7), Sleep Hygiene Index (SHI), and List of Threatening of Experiences (LTE) instruments were used to identify factors associated with poor sleep quality. Bivariate and multivariable logistic regression with odds ratio and 95% CI were employed to identify determinant factors of poor sleep quality. Statistical significance association was declared at P-value < 0.05.

RESULTS

A total of 411 out of 423 HIV-positive pregnant women were interviewed, with a response rate of 97.1%. The overall magnitude of poor sleep quality among HIV-positive pregnant was found to be 39.4% with a 95% of confidence interval (CI) (34.3, 44.3). Stressful life events, [AOR = 3.10, 95% CI (1.60, 6.01)], having comorbid general anxiety symptoms [AOR = 2.46, 95% CI (1.58, 3.81)], unplanned pregnancy [AOR = 2.18, 95% CI (1.20, 3.96)], and poor sleep hygiene practice [AOR = 2.23, 95% CI (1.21, 4.10)] were significantly associated with poor quality of sleep.

CONCLUSION

The overall magnitude of poor sleep quality among HIV-positive pregnant women was high. Stressful life events, poor sleep hygiene, unplanned pregnancy, and comorbid general anxiety symptoms were the determinant factors of poor sleep quality that should be taken high consideration for early detection and appropriate intervention for poor sleep quality in HIV-positive pregnant women.

Antepartum sleep quality, mental status, and postpartum depressive symptoms: a mediation analysis

BACKGROUND

Poor sleep quality and maternal mood disturbances are common during pregnancy and may play pivotal roles in the development of postpartum depression. We aim to examine the trajectories of sleep quality and mental health in women from early pregnancy to delivery and explore the mediating effects of sleep quality and mental status on the link between antepartum depressive symptoms and postpartum depressive symptoms.

METHODS

In an ongoing prospective birth cohort, 1301 women completed questionnaires in the first, second and third trimesters and at 6 weeks postpartum. In each trimester, sleep quality was measured utilizing the Pittsburgh Sleep Quality Index (PSQI), and mental health was assessed with the Center for Epidemiologic Studies Depression Scale (CES-D), the Self-Rating Anxiety Scale (SAS) and the Perceived Stress Scale (PSS). Postpartum depressive symptoms were evaluated by the Edinburgh Postnatal Depression Scale (EPDS). The bootstrap method was used to test the mediation effect.

RESULTS

The PSQI, CES-D, and SAS scores presented U-shaped curves across the antenatal period while the PSS score followed a descending trend. Antenatal sleep quality, depressive symptoms, anxiety symptoms and perceived stress all predicted depressive symptoms at 6 weeks postpartum. The influence of antepartum depressive symptoms on postpartum depressive symptoms was mediated by antepartum sleep quality and anxiety symptoms, which accounted for 32.14%, 39.25% and 31.25% in the first, second and third trimesters (P = 0.002, P = 0.001, P = 0.001, respectively).

CONCLUSIONS

Poor sleep quality and anxiety symptoms in pregnancy mediated the relationship between antepartum depressive symptoms and postpartum depressive symptoms. Interventions aimed at detecting and managing sleep quality and elevated anxiety among depressed women in pregnancy warrant further investigation as preventative strategies for postpartum depression.

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 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.

Evaluation of the Effect of Supervised Group Exercise on Self-Reported Sleep Quality in Pregnant Women with or at High Risk of Depression: A Secondary Analysis of a Randomized Controlled Trial

Poor sleep quality is common during pregnancy. Our objective was to evaluate the effect of supervised group physical exercise on self-reported sleep quality in pregnant women with or at high risk of depression, and secondly, to describe the association between sleep quality and psychological well-being during pregnancy and postpartum. This was a secondary analysis of a randomized controlled trial (n = 282) (NCT02833519) at Rigshospitalet, Denmark. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI), psychological well-being by the five-item WHO Well-Being Index (WHO-5). The intention-to-treat analysis showed no difference in mean global PSQI score neither at 29−34 weeks, 6.56 (95% CI: 6.05−7.07) in the intervention group and 7.00 (95% CI: 6.47−7.53) in the control group, p = 0.2, nor at eight weeks postpartum. Women with WHO-5 ≤ 50 reported higher mean global PSQI scores at baseline, 7.82 (95% CI: 7.26−8.38), than women with WHO-5 score > 50, mean 5.42 (95% CI: 5.02−5.82), p < 0.0001. A significant difference was also present post-intervention and eight weeks postpartum. No significant effect of group exercise regarding self-reported sleep quality was seen at 29−34 weeks of gestation or postpartum. Low psychological well-being was associated with poor sleep quality during pregnancy and postpartum.

Perceived social support predicts self-reported and objective health and health behaviors among pregnant women

Perinatal health and health behaviors play a crucial role in maternal and neonatal health. Data examining psychosocial factors which predict self-reported health and health behaviors as well as objective indicators downstream of health behaviors among pregnant women are lacking. In this longitudinal study design with 131 pregnant women, perceived social support was examined as a predictor of self-rated health and average levels of sleep quality, health-promoting and health-impairing behaviors, and red blood cell (RBC) polyunsaturated fatty acids across early, mid, and late pregnancy. Participants provided a blood sample and fatty acid methyl esters were analyzed by gas chromatography. Measures included the Multidimensional Scale of Perceived Social Support, Pittsburgh Sleep Quality Index, and Prenatal Health Behavior Scale. Regression models demonstrated that, after adjustment for income, race/ethnicity, age, relationship status, pre-pregnancy body mass index, greater social support was associated with better self-rated health (p = 0.001), greater sleep quality (p = 0.001), fewer health-impairing behaviors (p = 0.02), and higher RBC omega-3 fatty acids (p = 0.003). Associations among social support with health-promoting behaviors, RBC omega-6 fatty acids, or gestational weight gain were not significant. Findings underscore the benefits of perceived social support in the context of pregnancy. Examination of pathways that link social support with these outcomes will be meaningful in determining the ways in which perinatal psychosocial interventions may promote health.

Postpartum sleep health in a multiethnic cohort of women during the COVID-19 pandemic in New York City

OBJECTIVE/DESIGN

Cross-sectional study to examine the determinants of sleep health among postpartum women during the COVID-19 pandemic in New York City (NYC).

SETTING/PARTICIPANTS

A subset of participants recruited as part of the COVID-19 Mother Baby Outcomes (COMBO) cohort at Columbia University (N = 62 non-Hispanic White, N = 17 African American, N = 107 Hispanic).

MEASUREMENTS

Data on maternal sleep, COVID-19 infection during pregnancy, sociodemographic, behavioral, and psychological factors were collected via questionnaire at 4 months postpartum. Self-reported subjective sleep quality, latency, duration, efficiency, disturbances, and daytime dysfunction were examined as categorical variables (Pittsburgh Sleep Quality Index [PSQI]). Associations between sleep variables and COVID-19 status, time of the pandemic, sociodemographic, behavioral, and psychological factors were estimated via independent multivariable regressions.

RESULTS

Mothers who delivered between May-December 2020, who delivered after the NYC COVID-19 peak, experienced worse sleep latency, disturbances and global sleep health compared to those who delivered March-April 2020, the peak of the pandemic. Maternal depression, stress and COVID-19-related post-traumatic stress were associated with all sleep domains except for sleep efficiency. Maternal perception of infant's sleep as a problem was associated with worse global PSQI score, subjective sleep quality, duration, and efficiency. Compared to non-Hispanic White, Hispanic mothers reported worse global PSQI scores, sleep latency, duration and efficiency, but less daytime dysfunction.

CONCLUSIONS

These findings provide crucial information about sociodemographic, behavioral, and psychological factors contributing to sleep health in the postpartum period.

Association between depressive symptoms and poor sleep quality among pregnant women in Northern Rural Bangladesh: a community-based cross-sectional study

BACKGROUND

Adequate good quality of sleep is essential for physical fitness during pregnancy as well as being a depressive symptoms-free mind. However, there is little evidence of the relationship between depressive symptoms and poor sleep quality among pregnant women in Bangladesh. This study aimed to find the association between depressive symptoms and poor sleep quality among pregnant women in northern rural Bangladesh.

METHODS

A community-based cross-sectional study was carried out from May 2021 to June 2021 among 481 pregnant women tested positive in the pregnancy test of Jaldhaka and Dimla Upazila of Nilphamari district, Rangpur Division. Data were collected with a structured questionnaire including socio-demographic conditions, sleep quality, and depressive symptoms, comprising the Pittsburgh Sleep Quality Index (PSQI) and the Patient Health Questionnaire- 9 (PHQ-9).

RESULTS

8.94% of the women had depressive symptoms, whereas 38.88% of the participants were bad sleepers. However, women who had depressive symptoms [Adjusted odds ratio (AOR) = 2.55; 95% CI 1.33-4.9] and educational qualifications above 10 years [AOR = 0.60; 95% CI: 0.39-0.92] were associated with poor sleep quality.

CONCLUSIONS

A higher percentage of pregnant women had poor sleep quality, whereas depressive symptoms and academic background of the participants were significantly associated with poor sleep quality. Ensuring adequate sleep time and better quality could be helpful to prevent depressive symptoms.

Poor Sleep Quality and Factors Among Reproductive-Age Women in Southwest Ethiopia

BACKGROUND

Adequate sleep is vital for physical and mental wellbeing. Sleep-related problems including poor quality of sleep have been increasing throughout the world among reproductive-aged women. Poor sleep quality has been related with number of diseases and health problems However, evidences are scarce regarding poor sleep quality and its associated factors among women of the reproductive age group in Ethiopia.

OBJECTIVE

To assess sleep quality and associated factors among women of reproductive age group in Mizan Aman town, Southwest Ethiopia.

METHOD

Community-based cross-sectional study was conducted among 606 reproductive-aged women from 06 November to 20 December 2020, in Mizan Aman town. Data were collected using structured interview administered questionnaires. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Multivariable logistic regression was applied using an adjusted odds ratio with a corresponding 95% confidence interval to evaluate the statistical significance of associated factors.

RESULT

The overall prevalence of poor sleep quality was 71.3%. The late age group of 42-49 (AOR, 95% CI; 1.21 (1.08-5.76), palpable/visible thyroid gland (AOR, 95% CI; 2. 12 (1.08-3.82), current substance use (AOR, 95% CI; 1.76 (1.11-6.10) and having premenstrual syndrome (AOR, 95% CI; 1.86 (1.38-3.12) were significantly associated with poor sleep quality among reproductive age group women.

CONCLUSION

Significant majority of reproductive age group women faced poor sleep quality. Therefore, screening of sleep patterns among this particular age group is warranted. Moreover, education about sleep hygiene needs to be given considering the identified factors to improve sleep quality.

DSM-5 insomnia disorder in pregnancy: associations with depression, suicidal ideation, and cognitive and somatic arousal, and identifying clinical cutoffs for detection

Study Objectives

The study had three primary goals. First, we estimated survey-assessed DSM-5 insomnia disorder rates in pregnancy, and described associated sociodemographics, and sleep-wake and mental health symptoms. Second, we derived cutoffs for detecting DSM-5 insomnia disorder using common self-report measures of sleep symptoms. Third, we identified clinically relevant cut-points on measures of nocturnal cognitive and somatic arousal.

Methods

Ninety-nine women (85.9% in the 2^nd trimester) completed online surveys including DSM-5 insomnia disorder criteria, the Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Presleep Arousal Scale's Cognitive (PSASC) and Somatic (PSASS) factors, and Edinburgh Postnatal Depression Scale.

Results

DSM-5 insomnia disorder rate was 19.2%. Insomnia was associated with depression, suicidality, nocturnal cognitive and somatic arousal, and daytime sleepiness. An ISI scoring method that aligns with DSM-5 criteria yielded excellent metrics for detecting insomnia disorder and good sleep. Regarding quantitative cutoffs, ISI ≥ 10 and ISI ≥ 11 (but not ISI ≥ 15) were supported for detecting DSM-5 insomnia, whereas ISI ≤ 7 and ISI ≤ 9 performed well for detecting good sleep. PSQI cutoff of 5 was supported for detecting insomnia and good sleep. The optimal cutoff for nocturnal cognitive arousal was PSASC ≥ 18, whereas the optimal cutoff for somatic arousal was PSASS ≥ 13.

Conclusions

Insomnia disorder affects a large segment of pregnant women. Empirically derived cutoffs for insomnia, good sleep, cognitive arousal, and somatic arousal may inform case identification and future perinatal sleep research methodology.

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.

Hyperglycemia in pregnancy: sleep alterations, comorbidities and pharmacotherapy

OBJECTIVE

To investigate sleep alterations and associated factors in pregnant diabetic women (n=141).

METHODS

Sleep profile, sociodemographics and clinical information were collected. Poor sleep quality (Pittsburgh Sleep Quality Index >5) and excessive daytime sleepiness (Epworth Sleepiness Scale ≥10), sleep duration (h), sleep latency (min), frequent sleep interruption and short sleep (≤6 h) were assessed in type 1 diabetes mellitus (16.3%), type 2 diabetes mellitus (25.5%) and gestational diabetes mellitus (58.2%).

RESULTS

Poor sleep quality was found in 58.8% of patients and daytime sleepiness in 25.7%, regardless of hyperglycemia etiology. No correlation existed between daytime sleepiness and poor sleep quality (Pearson correlation r=0.02, p=0.84). Short sleep duration occurred in 1/3 of patients (31.2%). Sleep interruptions due to frequent urination affected 72% of all and sleep interruptions due to any cause 71.2%. Metformin was used by 65.7% of type 2 diabetes mellitus and 28.7% of gestational diabetes mellitus. In gestational diabetes mellitus, parity number was independently associated with poor sleep quality (p=0.02; OR=1.90; 95%CI 1.07-3.36) and metformin use was also independently associated with poor sleep quality (p=0.03; OR=2.36; 95%CI 1.05-5.29).

CONCLUSIONS

Our study originally shows that poor sleep quality and excessive daytime sleepiness are frequent in diabetic pregnancy due to different etiologies. Interestingly, only in gestational diabetes mellitus, metformin therapy and higher parity were associated with poor sleep quality.

Postpartum sleep loss and accelerated epigenetic aging

BACKGROUND

Insufficient sleep has been linked to accelerated biological aging in adults, providing a possible mechanism through which sleep may influence disease risk. In the current paper, we test the hypothesis that short sleep in postpartum would predict older biological age in women one year post birth, as indicated by accelerated epigenetic aging.

METHODS

As part of a larger study of pregnancy and postpartum health (Healthy Babies Before Birth, HB3), 33 mothers provided blood samples for epigenetic aging clock estimates. intrinsic epigenetic age acceleration (IEAA), extrinsic apigenetic age acceleration, phenotypic epigenetic age acceleration (PEAA), GrimAge, DNAmPAI-1, and DNAm telomere length (TL) were calculated using established protocols. Sleep duration was categorized as insufficient sleep (<7 hours per night) or healthy sleep duration (7+ hours per night). Sleep quality was determined using the Pittsburgh Sleep Quality Index (Global score >5).

RESULTS

Maternal postpartum sleep duration at 6 months, but not 12 months, following a birth was predictive of older 12-month IEAA, B (SE) = 3.0 (1.2), P = .02, PEAA, B (SE) = 7.3 (2.0), P = .002, and DNAmTL, B (SE) = -0.18 (0.07), P = .01, but not other indices, all P> .127. Self-reported poor sleep quality at 6 and 12 months was not significantly related to epigenetic age.

CONCLUSIONS

These findings suggest that insufficient sleep duration during the early postpartum period is associated with accelerated biological aging. As the sample size is small, additional research is warranted with a larger sample size to replicate these findings.

Impact of Obstructive Sleep Apnea on Gestational Diabetes Mellitus

INTRODUCTION

Obstructive sleep apnea (OSA) increases the risk of type 2 diabetes, and hyperinsulinemia. Pregnancy increases the risk of OSA; however, the relationship between OSA and gestational diabetes mellitus (GDM) is unclear. We aimed (1) to evaluate OSA prevalence in GDM patients; (2) to assess the association between OSA and GDM; and (3) to determine the relationships between sleep parameters with insulin resistance (IR).

METHODS

A total of 177 consecutive women (89 with GDM, 88 controls) in the third trimester of pregnancy underwent a hospital polysomnography. OSA was defined when the apnea-hypopnea index (AHI) was ≥5h-1.

RESULTS

Patients with GDM had higher pregestational body mass index (BMI) and neck circumference than controls, but no differences in snoring or OSA-symptoms, or AHI (3.2±6.0 vs. 1.9±2.7h-1, p=.069). OSA prevalence was not significantly different in both groups. We did not identify OSA as a GDM risk factor in the crude analysis 1.65 (95%CI: 0.73-3.77; p=.232). Multiple regression showed that total sleep time (TST), TST spent with oxygen saturation<90% (T90), and maximum duration of respiratory events as independent factors related with homeostasis model assessment of IR, while T90 was the only independent determinant of quantitative insulin sensitivity check index.

CONCLUSION

OSA prevalence during the third trimester of pregnancy was not significantly different in patients with GDM than without GDM, and no associations between OSA and GDM determinants were found. We identified T90 and obstructive respiratory events length positive-related to IR, while TST showed an inverse relationship with IR in pregnant women.

Maternal Depressive Symptoms, Sleep, and Odds of Spontaneous Early Birth: Implications for Racial Inequities in Birth Outcomes

STUDY OBJECTIVES

Delivery prior to full term affects 37% of US births, including ~400,000 preterm births (<37 weeks) and >1,000,000 early term births (37-38 weeks). Approximately 70% of cases of shortened gestation are spontaneous - without medically-indicated cause. Elucidation of modifiable behavioral factors would have considerable clinical impact.

METHODS

This study examined the role of depressive symptoms and sleep quality in predicting the odds of spontaneous shortened gestation among 317 women (135 Black, 182 White) who completed psychosocial assessment in mid-pregnancy.

RESULTS

Adjusting for key covariates, Black women had 1.89 times higher odds of spontaneous shortened gestation compared to White women (OR (95% CI) = 1.89 (1.01, 3.53), p=0.046). Women who reported only poor subjective sleep quality (PSQI > 6) or only elevated depressive symptoms (CES-D ≥ 16) exhibited no statistically significant differences in odds of spontaneous shortened gestation compared to those with neither risk factor. However, women with comorbid poor sleep and depressive symptoms exhibited markedly higher odds of spontaneous shortened gestation than those with neither risk factor [39.2% versus 15.7%, [OR (95% CI) = 2.69 (1.27, 5.70), p = 0.01]. A higher proportion of Black women met criteria for both risk factors (23% of Black women versus 11% of White women; p=0.004), with a lower proportion experiencing neither risk factor (40.7% of Black versus 64.3% of White women; p < 0.001).

CONCLUSIONS

Additive effects of poor subjective sleep quality and depressive symptoms were observed with markedly higher odds of spontaneous shortened gestation among women with both risk factors. Racial inequities in rates of comorbid exposure corresponded with inequities in shortened gestation. Future empirical studies and intervention efforts should consider the interactive effects of these commonly co-morbid exposures.

Poor sleep quality and its associated factors among pregnant women in Northern Ethiopia, 2020: A cross sectional study

BACKGROUND

Sleep is a physiologic necessity for all humankind. Pregnant women, in particular, need adequate sleep to develop their fetuses as well as save energy required for delivery. A change in sleep quality and quantity is the most common phenomena during pregnancy due to mechanical and hormonal factors. However, there is a scarcity of data about poor sleep quality and its associated factors among pregnant mothers in Ethiopia. Therefore, this study aims to determine the prevalence of poor sleep quality and its associated factors among pregnant mothers at Wadila primary hospital, Ethiopia.

METHODS

Institution based cross-sectional study design was employed on 411 pregnant mothers. Data were collected using a pre-tested interviewer administered questionnaire. SPSS Version 23 for Windows software was used for data analyses. Bivariate analysis was conducted to detect the association between dependent and independent variables, and to choose candidate variables (p < 0.25) for multivariate logistic regression. Statistical significance was set at p-value <0.05.

RESULTS

A total of 411 participants were included in the study making a response rate of 97.4%. Overall, 68.4% of participants found to have poor sleep quality (PSQI>5). Age of the mother [age 20-30 years; AOR = 4.3 CI (1.8, 9.9), p = 0.001, and age >30 years; AOR = 4.7 CI (1.6, 13.9) p = 0.005], gestational age [second trimester, AOR = 2.46, CI (1.2, 4.9), p = 0.01 and third trimester, AOR = 7.5, CI (3.2, 17.8), p = 0.000] and parity [multiparous women; AOR = 2.1(1.24, 3.6) p = 0.006] were predictor variables for poor sleep quality among pregnant mothers.

CONCLUSION

More than two-third of pregnant mothers had poor sleep quality. Advanced maternal age, increased gestational age and multiparty are found to be predictors of poor sleep quality in pregnant women.

Poorer mental health and sleep quality are associated with greater self-reported reward-related eating during pregnancy and postpartum: an observational cohort study

BACKGROUND

Depression, stress, and poor-quality sleep are common during pregnancy and postpartum, but the relationship of these factors with reward-related eating is not well understood. This observational cohort study examines associations of depression, stress, and sleep quality with self-reported reward-related eating in pregnancy and postpartum.

METHODS

Participants were enrolled at < 12 weeks gestation and followed through 1 year postpartum. Self-reported measures obtained at baseline and 23-31 weeks postpartum included the Edinburgh Postnatal Depression Scale, Perceived Stress Scale, Pittsburgh Sleep Quality Index; reward-related eating measures included the Power of Food Scale (assessing hedonic hunger), modified Yale Food Addiction Scale (assessing addictive-like eating), and frequency and intensity of cravings. Linear and logistic regression models estimated associations of depressive symptoms, stress, and sleep quality with reward-related eating during pregnancy and postpartum, as well as change in each predictor with change in outcome.

RESULTS

During pregnancy, greater depressive symptoms (β ± SE = 0.03 ± 0.01, p < .01), higher stress (0.03 ± 0.01, p < .01), and worse sleep quality (0.03 ± 0.01, p = 0.03) were associated with greater hedonic hunger. Similarly, greater depressive symptoms (OR = 1.08, 95% CI: 1.02, 1.14, p = .01), higher stress (OR = 1.09, 95% CI: 1.04, 1.14, p = <.01), and worse sleep quality (OR = 1.09, 95% CI: 1.00, 1.18, p = .04) were associated with greater odds of addictive-like eating. These associations were also significant in postpartum except that sleep quality was not associated with hedonic hunger. Greater depressive symptoms (β ± SE = 0.06 ± 0.02, p < .01; 0.08 ± 0.02, p = <.01), higher stress (0.04 ± 0.01, p < .01; 0.06 ± 0.02, p < .01), and worse sleep quality (0.11 ± 0.03, p < .01; 0.13 ± 0.03, p < .01) during pregnancy were associated with stronger and more frequent cravings, respectively. Increased depressive symptoms from pregnancy to postpartum was associated with increased hedonic hunger (β ± SE = 1.17 ± 0.57, p = 0.01) and addictive-like eating (0.88 ± 0.33, p = 0.01), and increased stress was associated with increased hedonic hunger (1.71 ± 0.76, p = 0.02). Change in stress was not associated with change in addictive-like eating and change in sleep quality was not associated with change in either hedonic hunger or addictive-like eating.

CONCLUSIONS

Greater depressive symptoms, perceived stress, and poorer sleep quality are associated with greater self-reported reward-related eating during pregnancy and postpartum, suggesting that efforts to improve diet during and after pregnancy may benefit from addressing mental health and sleep.

TRIAL REGISTRATION

Clinicaltrials.gov Registration ID - NCT02217462 . Date of registration - August 13, 2014.

Determinants of postpartum sleep duration and sleep efficiency in minority women

STUDY OBJECTIVES

To examine demographic, psychosocial, and behavioral determinants of postpartum sleep duration and sleep efficiency among a cohort of black and Latina women.

METHODS

Data were from 148 women (67% black, 32% Latina) at 5 months postpartum, recruited from an academic medical center in Philadelphia. Relevant demographic, psychosocial and behavioral predictors were assessed via questionnaire. Nocturnal sleep was objectively measured for 1 week using wrist actigraphy. Sleep duration was examined as a continuous variable and in categories (<7 versus ≥7 h per night); sleep efficiency was examined as a continuous variable. Independent multiple linear regression models were built to evaluate significant determinants of sleep.

RESULTS

Adjusted models revealed that breastfeeding, having a bedtime after midnight, and being employed were associated with shorter sleep duration (-25-33 min, all p < 0.05). Multiparity, being unmarried, being employed, breastfeeding, having a bedtime after midnight, bedsharing, and responding to infant awakenings by getting up immediately rather than waiting a few minutes to see if the infant fell back asleep, were all significant determinants of sleeping <7 h per night (OR varying: 2.29-4.59, all p < 0.05). Bedsharing was the only variable identified from the multiple regression model that associated with poorer sleep efficiency (-3.8%, p < 0.05).

CONCLUSIONS

Findings may inform interventions for improving postpartum sleep in socioeconomically disadvantaged, racial/ethnic minority postpartum women.

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.

Associations of Sleep With Sedentary Behavior and Physical Activity Patterns Across Pregnancy Trimesters

INTRODUCTION

Sleep, sedentary behavior, and moderate-to-vigorous physical activity (MVPA) are altered in pregnancy and may affect pregnancy health; however, how these behaviors are associated with each other is unclear.

METHODS

Pregnant women (N = 120) completed the Pittsburgh Sleep Quality Index and wore an activPAL3 micro and ActiGraph GT3X for 7 days in each trimester to assess sleep, sedentary behavior, and MVPA, respectively. Latent trajectories described patterns of sleep duration, efficiency, and quality as well as sedentary behavior and MVPA. Multinomial logistic regression examined associations of sleep patterns with sedentary behavior and MVPA patterns and, in exploratory analyses, with adverse pregnancy outcomes.

RESULTS

Trajectories were identified for sleep duration (consistently short, 20.7% of sample; consistently adequate, 79.3%), efficiency (consistently low, 17.5%; consistently high, 82.5%), and quality (consistently poor, 15.1%; worsening, 23.5%; and consistently good, 61.5%). Compared with those in more optimal sleep groups, women in the short duration, low efficiency, and worsening quality groups had lower odds of being in the moderate and/or high sedentary behavior group (odds ratio range, 0.21-0.31; 95% confidence interval range, 0.09-0.65). Women in the worsening quality group had greater odds of being in the low MVPA group (odds ratio, 2.51; 95% confidence interval, 1.18-5.38). Trends were observed with women in less optimal sleep groups having greater odds of adverse pregnancy outcomes and lower odds of excessive gestational weight gain.

CONCLUSIONS

Less optimal sleep patterns in pregnancy are associated with less sedentary behavior and MVPA; additional research is needed to confirm associations between sleep and pregnancy outcomes.

Maternal sleep quality during early pregnancy, risk factors and its impact on pregnancy outcomes: a prospective cohort study

OBJECTIVES

We aimed to assess the prevalence of poor sleep quality during early pregnancy and its risk factors, and to explore the association between sleep quality and adverse pregnancy outcomes.

METHODS

This was a prospective birth cohort study that included 4352 pregnant women. Sleep quality were assessed using the Pittsburgh Sleep Quality Index (PSQI). The risk factors for poor sleep quality were analyzed by a logistic regression model. Log-binomial regression models were used to analyze the association between sleep quality and pregnancy outcomes.

RESULTS

The prevalence of maternal poor sleep quality during early pregnancy was 34.14%. The multivariate logistic model showed that stillbirth history (OR = 2.45; 95% CI: 1.34, 4.47), history of induced abortion (OR = 1.26; 95% CI: 1.07, 1.49), general health-related quality of life (OR = 3.98; 95% CI: 2.97, 5.34), insufficient physical activity (OR = 1.18; 95% CI: 1.03, 1.36), smoking (OR = 1.59; 95% CI: 1.18, 2.15), and vegetarian (OR = 2.18; 95% CI: 1.54, 3.08) were risk factors for poor sleep quality, while taking folic acid consistently before pregnancy (OR = 0.83; 95% CI: 0.72,0.97) was the protective factor. After controlling for all the confounders, poor sleep quality during early pregnancy increased the risk of premature rupture of membranes by 12% (95% CI: 1.00, 1.25).

CONCLUSION

Pregnant women with a history of stillbirth and induced abortion, general health-related quality of life, insufficient physical activity, smoking, and a vegetarian diet tended to have poor sleep quality. More attention should be paid to healthy lifestyle of pregnant women to improve sleep quality and better pregnancy outcomes.

Mothers' and fathers' sleep: Is there a difference between first-time and experienced parents of 6-month-olds?

Sleep disruption and deprivation are highly prevalent among parents of an infant. However, most postpartum sleep studies focus solely on mothers, and few studies have investigated whether sleep differs between first-time and experienced parents. The present study aimed to determine whether self-reported sleep duration and quality differ between first-time and experienced mothers and fathers during the postpartum period. A total of 111 parents (54 couples and three single mothers) of 6-month-old infants completed a 2-week sleep diary to evaluate measures of sleep duration, sleep continuity, and sleep quality. An analysis of covariance model was used to compare the sleep variables of first-time to experienced parents. Breastfeeding frequency, infant sleep location, depression, education, and work status were used as co-variables. First-time mothers reported a longer consecutive nocturnal sleep duration (mean [SEM] 297.34 [17.15] versus 246.01 [14.79] min, p < .05), fewer nocturnal awakenings (mean [SEM] 1.57 [0.20] versus 2.12 [0.17], p < .05), and rated their sleep quality higher (mean [SEM] score 7.07 [0.36] versus 5.97 [0.30], p < .05) than experienced mothers, while total nocturnal sleep duration did not differ. There were no differences in subjective sleep measures between first-time and experienced fathers. The present study indicates that experienced mothers reported more fragmented sleep and perceived having worse sleep quality than first-time mothers, but that paternal sleep did not differ as a function of parental experience. These findings have clinical implications for healthcare professionals working with families of various configurations and sizes.

Sleep disturbances and inflammatory gene expression among pregnant women: Differential responses by race

Excessive inflammation in pregnancy predicts adverse birth outcomes, including shortened gestational length and lower birthweight, with African American women at greater risk. As substantial racial disparities in sleep quality, and evidence that African Americans have increased vulnerability for sleep-induced inflammatory dysregulation, sleep may be a critical, modifiable health behavior that contributes to racial disparities in birth outcomes. The present study examined sleep disturbance as a predictor of genome-wide transcriptome profiles of peripheral blood samples from 103 pregnant women (33 African American, 70 white) assessed at 18.7 ± 7.2 weeks gestation. We hypothesized that pregnant women with significant sleep disturbances would have gene expression profiles indicating over-expression of inflammatory pathways, with greater effects among African American compared to white women. Promoter-based bioinformatics analyses of differentially expressed genes indicated greater activation of NF-кB, AP1, and CREB transcription factors among African American women with sleep disturbances (all p < 0.05), and enhanced activation of AP1, but not NF-кB and reduced CREB activity among white women with sleep disturbances (p < 0.05). Differences in glucocorticoid receptor (GR) activity were also observed, in which African American women with sleep disturbances had reduced GR activity (p < 0.05), but white women with sleep disturbances showed a trend for enhanced GR activity (p = 0.11). Similarly, Interferon Response Factor (IRF) activity was reduced in African American women while increased in white women with sleep disturbances (p < 0.05). The current study provides novel evidence for gene expression related to inflammation, glucocorticoids, and anti-viral immunity among pregnant women with sleep disturbances, with differential effects by race. African Americans showed greater breadth and magnitude in these proinflammatory and anti-viral pathways than whites, with divergence in anti-inflammatory glucocorticoid, proinflammatory adrenergic-mediated cAMP, and anti-viral interferon responses. These data elucidate the role of sleep disturbances in intracellular inflammatory and anti-viral immunity in pregnancy and provide a potential target for intervention.

Pioglitazone alleviates maternal sleep deprivation-induced cognitive deficits in male rat offspring by enhancing microglia-mediated neurogenesis

Maternal sleep disturbance in pregnancy causes cognitive impairments and emotional disorders in offspring. Microglia-mediated inflammatory processes contribute to prenatal stress-induced neurodevelopmental deficits. Peroxisome proliferator-activated receptor gamma (PPARγ) activation underlies the switching of microglial activation phenotypes, which has emerged as a pharmacological target for regulating neuroinflammatory responses in the treatment of neuropsychiatric disorders. Here we investigated the effects of PPARγ-dependent microglial activation on neurogenesis and cognitive behavioral outcomes in male rat offspring exposed to maternal sleep deprivation (MSD) for 72 h from days 18-21 of pregnancy. In the Morris water maze test, male MSD rat offspring needed more time than control offspring to escape to the hidden platform and spent less time in the target quadrant when the hidden platform was removed. In MSD rat offspring, microglial density as determined by immunofluorescence was higher, microglia showed fewer and shorter processes, and neurogenesis in the hippocampus was significantly reduced. Levels of mRNA encoding pro-inflammatory markers IL-6, TNFα, and IL-1β were higher in male MSD offspring, whereas levels of anti-inflammatory markers Arg1, IL-4, and IL-10 were lower, as was PPARγ expression in the hippocampus. PPARγ activation by pioglitazone (30 mg/kg/day, i.p., 7 d) mitigated these negative effects of MSD, rescuing hippocampal neurogenesis and improving cognitive function. The PPARγ inhibitor GW9662 (1 mg/kg/day, i.p., 7 d) eliminated the effects of pioglitazone. Conditioned medium from pioglitazone-treated microglia promoted proliferation and differentiation of neural progenitor cells. These results suggest that MSD-induced deficits in spatial learning and memory can be ameliorated through PPARγ-dependent modulation of microglial phenotypes.

Mindfulness and nocturnal rumination are independently associated with symptoms of insomnia and depression during pregnancy

BACKGROUND

Insomnia and depression are highly prevalent perinatal complications. Ruminating on stress is etiologically implicated in both disorders, and ruminating while trying to fall asleep has been linked to insomnia and depression during pregnancy. Incompatible with rumination is everyday mindfulness, i.e., living with intentional and nonjudgmental awareness of internal and external experiences in the present moment. Responding to stress mindfully may protect against stress-related perinatal complications such as insomnia and depression. The present study described the association between everyday mindfulness and nocturnal rumination, and examined whether these trait characteristics were independently related to perinatal insomnia and depression.

METHODS

Cross-sectional and secondary analysis of existing data from 65 pregnant women recruited from a multisite hospital in Metro Detroit, MI, USA. Subjects completed online surveys including the Insomnia Severity Index, Edinburgh Postnatal Depression Scale, Presleep Arousal Scale, and the revised Cognitive and Affective Mindfulness Scale.

RESULTS

Over half (53.8%) of women screened positive for clinical insomnia and 12.3% screened positive for major depression. Women high in mindfulness, relative to those low in mindfulness, reported less nocturnal rumination (Cohen's d=1.16), insomnia symptoms (Cohen's d=1.24), and depressive symptoms (Cohen's d=1.35). Multivariate linear regression revealed that both mindfulness (β=-.24, p=.03) and rumination (β=.38, p<.01) were independently associated with insomnia. Similarly, a multivariate model showed that mindfulness (β=-.41, p<.001) and rumination (β=.35, p<.01) were independently associated with depression.

CONCLUSIONS

Ruminating in bed at night is strongly associated with insomnia and depression during pregnancy, whereas mindfulness may potentially protect against these stress-related perinatal complications.

Vitamin D Deficiency and Sleep Quality in Minority Pregnant Women

PURPOSE

To examine if vitamin D deficiency was associated with poor sleep quality in a sample of African American and Hispanic pregnant women. We also examined if race moderates the relationship between serum 25(OH)D levels and sleep quality among participants in this sample.

STUDY DESIGN AND METHODS

Using a cross-sectional design, a sample of 115 African American and Hispanic pregnant women were enrolled from a federally qualified health center in the Midwest. Women completed questionnaires and had blood drawn for serum 25(OH)D levels between 24- and 32 weeks gestation. The questionnaires included demographic characteristics, the Pittsburgh Sleep Quality Index, and dietary vitamin D and calcium intake.

RESULTS

The overall regression model indicated that the predictors explained 17% of variance in sleep quality (F(5, 103) = 4.10, p = .002, R = 0.17). Serum 25(OH)D levels were significant predictors of sleep quality after controlling for covariates (i.e., race, maternal age, prepregnancy body mass index, gestational age at data collection). Race did not moderate the association between serum 25(OH)D levels and sleep quality among women in this sample.

CLINICAL IMPLICATIONS

Pregnant women should be screened for vitamin D deficiency. Women who have vitamin D deficiency should be provided vitamin D supplementation. Vitamin D supplementation may be a simple solution to enhance sleep quality at this critical time in a woman's life.