Assessing Sleep During Pregnancy

Sleep Quality in High-Risk Pregnancies: Mixed Methods Results from a Randomized Controlled Trial of a Mindfulness Training Intervention

Objectives: Sleep difficulties in pregnancy are common and increase the risk for obstetric complications. Past research shows that mindfulness training (MT) is helpful for improving sleep in non-pregnant adults and may improve sleep during pregnancy. However, it is unknown if MT improves sleep among pregnant people at risk for obstetric complications. We examined the effects of MT on sleep quality in individuals at risk of developing hypertensive disorders of pregnancy. Methods: Twenty-nine participants (mean age, 32 ± 4 years; mean gestational age, 16 ± 3weeks) at risk for hypertensive disorders in pregnancy (HDP) were randomized to an 8-week phone-delivered MT intervention (n = 15) or treatment as usual (TAU; n = 14), designed to test MT feasibility and acceptability. As part of the study, participants completed the Pittsburgh Sleep Quality Index and participated in a semi-structured individual qualitative interview which queried for sleep changes over pregnancy. Results: Participants randomized to MT reported less daytime sleep dysfunction compared to TAU (F = 5.79, p = 0.03, ηp2 = 0.28). Qualitative data illustrated the common experiences of sleep disturbance across both study groups; however, MT participants reported an improved ability to initiate sleep and return to sleep using mindfulness skills. About half of the participants in the MT condition reported an improvement in overall sleep quality due to less interference related to anxiety and restlessness, while other MT participants reported no change in sleep quality. Conclusions: Results from this study confirm that pregnant individuals frequently encounter sleep challenges. Findings also suggest that MT may be a helpful tool in improving sleep quality among pregnant people at risk for obstetric complications.

Improvements in Maternal Cardiovascular Health Over the Perinatal Period Longitudinally Predict Lower Postpartum Psychological Distress Among Individuals Who Began Their Pregnancies With Overweight or Obesity

BACKGROUND

Adverse cardiovascular events during pregnancy (eg, preeclampsia) occur at higher rates among individuals with overweight or obesity (body mass index ≥25 kg/m2) and have been associated with postpartum depression. The present study examined whether changes in cardiovascular health (CVH) during the perinatal period, as defined by the American Heart Association's Life's Essential 8 framework, predicted postpartum psychological functioning among individuals with prepregnancy body mass index ≥25 kg/m2.

METHODS AND RESULTS

Pregnant individuals (N = 226; mean ± SD age = 28.43 ± 5.4 years; mean body mass index = 34.17 ± 7.15 kg/m2) were recruited at 12 to 20 weeks of gestation (mean, 15.64 ± 2.45 weeks) for a longitudinal study of health and well-being. Participants completed ratings of depression and perceived stress and reported on CVH behaviors (dietary intake, physical activity, nicotine exposure, and sleep) at baseline and at 6 months postpartum. Body mass index and CVH behaviors were used to calculate a composite CVH score at both time points. Linear regression analyses were performed to examine whether change in CVH related to postpartum symptom scores. Because sleep was measured in only a subset of participants (n = 114), analyses were conducted with and without sleep. Improved CVH was associated with lower postpartum depression (β = -0.18, P<0.01) and perceived stress (β = -0.13, P=0.02) scores. However, when including sleep, these relationships were no longer significant (all P>0.4).

CONCLUSIONS

Improvements in CVH from early pregnancy to 6 months postpartum were associated with lower postpartum depressive symptoms and perceived stress but not when including sleep in the CVH metric, potentially due to the large reduction in sample size. These data suggest that intervening during pregnancy to promote CVH may improve postpartum psychological functioning among high-risk individuals.

Sleep quality during pregnancy and fetal growth: A prospective cohort study

The aim of this study is to investigate the association between sleep quality during pregnancy and fetal growth. Pregnant women and their fetuses at 16-20 gestational weeks in Nantong Maternal and Child Health Hospital were recruited. Women were classified as having "good sleep quality" (Pittsburgh Sleep Quality Index score ≤ 5) and "poor sleep quality" (Pittsburgh Sleep Quality Index score > 5) according to the Pittsburgh Sleep Quality Index scores. The fetal growth was evaluated by three ultrasonographic examinations, birth weight and birth length. We used general linear model and multiple linear regression models to estimate the associations. A total of 386 pairs of mother and infant were included in the data analysis. After adjusting for gestational weight gain, anxiety and depression, fetuses in the good sleep quality group had greater abdominal circumference (p = 0.039 for 28-31+6 weeks gestation, p = 0.012 for 37-40+6 weeks gestation) and femur length (p = 0.014 for 28-31+6 weeks gestation, p = 0.041for 37-40+6 weeks gestation) at 28-31+6 weeks gestation and 37-40+6 weeks gestation, and increased femur length (p = 0.007) at 28-31+6 weeks gestation. Birth weights (p = 0.018) were positively associated with sleep quality. Poor sleep quality was associated with poor intrauterine physical development, decreased abdominal circumference and femur length, and lower birth weight after adjusting for confounding factors. Attention to the fetal growth of pregnant women with poor sleep quality has the potential to decrease the risk of adverse fetal outcomes.

Examining the structure validity of the Pittsburgh Sleep Quality Index among female workers during New Zealand's initial COVID-19 lockdown

Sleep is important for good physical and mental health. The COVID-19 pandemic lockdown created a unique context that impacted psychological and social drivers for sleeping well. The Pittsburgh Sleep Quality Index (PSQI) is a widely used measurement tool assessing subjective sleep quality. The traditional model of the PSQI (a one-factor model), whilst validated and used across different populations, has also been questioned with regards to data fit and representativeness of its global score in different social and work-related circumstances. Examination of the structure validity of the PSQI in the unique context of the pandemic has been scarce. This study determined the PSQI structure validity amongst employed women considered to experience increased stressors during the pandemic lockdown. The subjectively reported PSQI data from 498 female workers (mean age 44.6 years) collected during New Zealand's first national COVID-19 lockdown (April, 2020) was used. Confirmatory factor analyses compared the original one-factor model of the PSQI with the two- and three-factor models used by Jia et al. (2019) within this pandemic context. Results showed that the two-factor model provided a superior fit of the PSQI data compared to the original one-factor or a three-factor model. These findings suggest that a sub-score of the PSQI with two factors appears to be better at describing the sleep quality of healthy working women during the constrained situation of the pandemic lockdown compared to a single global sleep quality score. This indicates the importance of considering the validity of subjective sleep measures when used within unique social contexts and stressors.

Protocol for a pilot study assessing a virtual mindfulness intervention for postpartum African American women

Elevated perinatal depressive symptoms are more common among disadvantaged African American women, and they are almost four times as likely to have postpartum posttraumatic stress compared to white women. For new mothers, depressive symptoms and posttraumatic stress can lead to negative parenting, poor mother-infant bonding, and delayed infant development. For African American women, a culturally adapted mindfulness-based intervention offers great potential as an acceptable approach to reduce psycho-behavioral symptoms and improve mother-infant interactions (i.e., bonding). Additionally, it is critical that mindfulness interventions consider time constraints of new mothers, provide accessible intervention delivery, address parenting, and consider the challenges of caring for an infant. Given these considerations, we describe a pilot research protocol in which we evaluate a culturally adapted mindfulness program: Mindfulness for African Americans Postpartum (MAAP). The intervention is based upon Kabat-Zinn's Mindfulness Based Stress Reduction program, but is adapted to include culturally relevant concepts of spirituality, inter-dependence, self-empowerment, and storytelling, which are salient to African American culture. To accommodate the needs of new mothers, a certified mindfulness interventionist delivers each session virtually using Zoom. The investigation uses a randomized controlled design in which African American women within 12 months of giving birth are randomized either to the MAAP intervention or to an Education Program. The primary aim is to determine the extent to which the MAAP intervention decreases maternal psycho-behavioral symptoms (perceived stress, depressive symptoms, anxiety, poor sleep, posttraumatic stress, and fatigue) and improves mother-infant bonding. A secondary aim is to explore the effects of MAAP on proinflammatory cytokines and oxytocin. Culturally adapted mindfulness interventions delivered virtually will make mindfulness more accessible and meaningful to populations, like African American new mothers, who are at higher risk for postpartum mood disorders and poor infant outcomes.

PsyNBIOsis: Investigating the Association between Maternal Gestational Diabetes, Mental Health, Diet and Childhood Obesity Risk: Protocol for a Prospective, Longitudinal, Observational Study

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with poorer maternal mental health (depression and anxiety). Maternal mental health and GDM are likely to influence diet, which in turn impacts the course of GDM. Maternal diet may also be directly or indirectly associated with changes in infant anthropometry. The aims of this study are to (1) examine the associations between maternal GDM, mental health and diet, and (2) evaluate the associations between these maternal factors, breastmilk composition and infant anthropometry.

METHODS

This prospective, observational, longitudinal cohort study compares a cohort of women with and without GDM. Maternal mental health and diet are assessed using validated questionnaires. Breastmilk composition is measured with the Human Milk Analyzer, and infant body composition is measured with air displacement plethysmography.

SIGNIFICANCE AND IMPACT

Once data have been collected, PsyNBIOsis will provide evidence for the associations between maternal mental health, GDM status and diet, and their impact on breastmilk composition and early infant growth. The results may inform the Developmental Origins of Health and Disease framework and provide data on which to build cost-effective interventions to prevent both the development of mental health issues in mothers and adverse growth patterns in infants.

Improvements in cardiovascular health over the perinatal period predicts lower postpartum psychological distress

Background

Adverse cardiovascular events during pregnancy (e.g., pre-eclampsia) occur at higher rates among individuals with pre-pregnancy overweight or obesity (body mass index [BMI]≥25kg/m2) and have been associated with postpartum depression. However, it is unclear whether cardiovascular health (CVH), defined more holistically than the absence of cardiovascular conditions in pregnancy, relates to postpartum psychological functioning. The present study examined whether changes in CVH during the perinatal period predicted postpartum psychological functioning among individuals with pre-pregnancy BMI≥25kg/m2.

Methods

Individuals (N=226; Mage=28.43±5.4 years; MBMI=34.17±7.15kg/m2) were recruited when their pregnancies were 12-20 weeks gestation (M=15.64±2.45 weeks) for a longitudinal study of health and well-being. Participants completed the Center for Epidemiological Studies Depression Scale (CES-D) and Perceived Stress Scale (PSS) and reported on CVH behaviors (dietary intake, physical activity, nicotine exposure, and sleep) at baseline and at 6-months postpartum. BMI and CVH behaviors were coded according to the American Heart Association's Life's Essential 8 to create a CVH score at both timepoints. Linear regression analyses were performed to examine whether change in CVH related to postpartum CES-D and PSS scores. Because sleep was only measured in a subset of participants (n=114), analyses were conducted with and without sleep included. Baseline CVH, CES-D and PSS scores, and demographic factors were included as covariates in all models.

Results

Improved CVH was associated with lower postpartum CES-D (β=-0.18, p<0.01) and PSS (β=-0.13, p=0.02) scores when excluding sleep. Compared to those whose CVH improved by >1SD from pregnancy to 6-months postpartum, individuals whose CVH worsened by >1SD scored 6.42 points higher on the CESD (MCESD=15.25±10.92 vs. 8.52±6.90) and 6.12 points higher on the PSS (MPSS=24.45±8.29 vs. 17.83±8.70). However, when including sleep, these relationships were no longer significant (ps>0.4).

Conclusions

Improvements in CVH from early pregnancy to 6-months postpartum were associated with lower postpartum depressive symptoms and perceived stress. However, these relationships were no longer significant when including sleep in the CVH metric, potentially due to the large reduction in sample size. These data suggest that intervening during pregnancy to promote CVH may improve postpartum psychological functioning among high-risk individuals.

Prenatal sleep health and risk of offspring ADHD symptomatology and associated phenotypes: a prospective analysis of timing and sex differences in the ECHO cohort

Background

Sleep difficulties are common in pregnancy, yet poor prenatal sleep may be related to negative long-term outcomes for the offspring, including risk for attention-deficit/hyperactivity disorder (ADHD). Existing studies are few and have not examined timing of exposure effects or offspring sex moderation. We thus aimed to test the hypotheses that poor sleep health in pregnancy is associated with increased risk for ADHD symptoms and offspring sleep problems at approximately 4 years of age.

Methods

Participants were 794 mother-child dyads enrolled in the NIH Environmental Influences on Child Health Outcomes Study (ECHO). Participants self-reported on sleep duration, quality, and disturbances during pregnancy and on children's ADHD symptoms and sleep problems on the Child Behaviour Checklist.

Findings

Pregnant participants were 32.30 ± 5.50 years and children were 46% female. 44 percent of pregnant participants identified as Hispanic or Latine; 49% identified as White. Second-trimester sleep duration was associated with offspring ADHD symptoms (b = -0.35 [95% CI = -0.57, -0.13], p = 0.026), such that shorter duration was associated with greater symptomatology. Poorer sleep quality in the second trimester was also associated with increased ADHD symptomatology (b = 0.66 [95% CI = 0.18, 1.14], p = 0.037). Greater sleep disturbances in the first trimester were associated with offspring ADHD (b = 1.03 [95% CI = 0.32, 1.03], p = 0.037) and in the second trimester with sleep problems (b = 1.53 [95% CI = 0.42, 2.92], p = 0.026). We did not document substantial offspring sex moderation.

Interpretation

Poor prenatal sleep health, particularly quality and duration in the second trimester, may be associated with offspring risk of neurodevelopmental disorders and sleep problems in early childhood. Further research is needed to understand mechanisms, yet our study suggests that prenatal maternal sleep may be a modifiable target for interventions aimed at optimizing early neurodevelopment.

Funding

NIH grants U2COD023375, U24OD023382, U24OD023319, UH3OD023320, UH3OD023305, UH3OD023349, UH3OD023313, UH3OD023272, UH3OD023328, UH3OD023290, K08MH117452 and NARSAD Young Investigator Award 28545.

Rurality as a predictor of perinatal mental health and well-being in an Australian cohort

OBJECTIVE

Perinatal emotional well-being is more than the presence or absence of depressive and anxiety disorders; it encompasses a wide range of factors that contribute to emotional well-being. This study compares perinatal well-being between women living in metropolitan and rural regions.

DESIGN

Prospective, longitudinal cohort.

PARTICIPANTS/SETTING

Eight hundred and six women from Victoria and Western Australia recruited before 20 weeks of pregnancy and followed up to 12 months postpartum.

MAIN OUTCOME MEASURES

Rurality was assessed using the Modified Monash Model (MM Model) with 578 in metropolitan cities MM1, 185 in regional and large rural towns MM2-MM3 and 43 in rural to remote MM4-MM7. The Structured Clinical Interview for DSM-IV (SCID-IV) was administered at recruitment to assess depression, and symptoms of depression and anxiety were measured using the Edinburgh Post-natal Depression Scale and the State and Trait Anxiety Scale, respectively. Other measures included stressful events, diet, exercise, partner support, parenting and sleep.

RESULTS

The prevalence of depressive disorders did not differ across rurality. There was also no difference in breastfeeding cessation, exercise, sleep or partner support. Women living in rural communities and who also had depression reported significantly higher parenting stress than metropolitan women and lower access to parenting activities.

CONCLUSIONS

Our study suggests while many of the challenges of the perinatal period were shared between women in all areas, there were important differences in parenting stress and access to activities. Furthermore, these findings suggest that guidelines and interventions designed for perinatal mental health should consider rurality.

Longitudinal and prospective assessment of prenatal maternal sleep quality and associations with newborn hippocampal and amygdala volume

BACKGROUND

The rapid maturation of the fetal brain renders the fetus susceptible to prenatal environmental signals. Prenatal maternal sleep quality is known to have important health implications for newborns including risk for preterm birth, however, the effect on the fetal brain is poorly understood.

METHOD

Participants included 94 pregnant participants and their newborns (53% female). Pregnant participants (Mage = 30; SDage= 5.29) reported on sleep quality three times throughout pregnancy. Newborn hippocampal and amygdala volumes were assessed using structural magnetic resonance imaging. Multilevel modeling was used to test the associations between trajectories of prenatal maternal sleep quality and newborn hippocampal and amygdala volume.

RESULTS

The overall trajectory of prenatal maternal sleep quality was associated with hippocampal volume (left: b = 0.00003, p = 0.013; right: b = 0.00003, p = .008). Follow up analyses assessing timing of exposure indicate that poor sleep quality early in pregnancy was associated with larger hippocampal volume bilaterally (e.g., late gestation left: b = 0.002, p = 0.24; right: b = 0.004, p = .11). Prenatal sleep quality was not associated with amygdala volume.

CONCLUSION

These findings highlight the implications of poor prenatal maternal sleep quality and its role in contributing to newborn hippocampal development.

Sleep quality and associated factors among pregnant women attending antenatal care unit at Gondar, Ethiopia: a cross-sectional study

OBJECTIVE

This study aimed to determine the prevalence and associated factors of poor sleep quality among pregnant women in Ethiopia.

METHOD

Institutional based cross-sectional study.

SETTING

University of Gondar Comprehensive Specialized Hospital, Gondar, Ethiopia.

PARTICIPANTS

A total of 415 pregnant women were recruited by using a systematic random sampling technique from 28 April 2020 to 12 June 2020.

MEASUREMENT

The desired data were collected through face-to-face interview technique by using validated questionnaires such as the Pittsburgh Sleep Quality Index, Edinburgh Postnatal Depression Scale, Perceived Stress Scale, Oslo-3 and Abuse Assessment Screen. The data were analysed by using SPSS V.20. Logistic regression analysis was used to identify associated factors with poor sleep quality. Variables having a p value of less than 0.2 in the bivariate analysis were entered to the multivariable logistic regression. A p value of less than 0.05 was considered statistically significant, at 95% CI.

RESULT

In this study, 175 (42.2%) pregnant women had poor sleep quality. According to multivariable logistic regression, being first and third trimesters of gestational age (adjusted OR (aOR) 2.31, 95% CI 1.16 to 4.61 and aOR 3.45, 95% CI 2.05 to 5.79, respectively), consumption of caffeinated substances (aOR 2.96, 95% CI 1.68 to 5.52), having depression (aOR 2.12, 95% CI 1.19 to 3.76), having high perceived stress (aOR 5.39, 95% CI 1.96 to 14.79) and experience of intimate partner violence (aOR 5.57, 95% CI 2.19 to 14.68) were positive significant associated factors with poor sleep quality.

CONCLUSION AND RECOMMENDATION

The prevalence of poor sleep quality among pregnant women was relatively high. First and third trimesters, consumption of caffeinated substances, antenatal depression, high perceived stress and intimate partner violence were factors significantly associated with poor sleep quality. This result suggests that all pregnant women should be screened and treated for poor sleep quality during the first and third trimesters.

Short sleep duration and risk of gestational diabetes

ObjectiveSleep disturbances and short sleep duration are common in pregnancy and might contribute to the development of hyperglycemia. Therefore, we evaluated the association of sleep disturbances and gestational diabetes (GDM) in a cohort of women.MethodsWe collected data of 386 women consecutively screened for GDM in 2019 by 75 gr OGTT, according with IDPSG criteria. Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to assess self-reported poor sleep quality (PSQI score >5) and short nocturnal sleep duration (<6 h).ResultsOf 386 women, 148 (38.3%) had poor sleep quality and 87 (22.5%) short sleep duration. GDM prevalence was 26.9%. There was no difference in GDM prevalence between women with poor or good sleep quality (26% vs. 28%; n.s.), while GDM was more frequent in women with short sleep duration (35.6% vs. 24.4%; p = 0.038). On univariate logistic regression analysis, short sleep duration (OR 1.71; 95%CI: 1.03-2.86; p = 0.039), previous GDM (OR 3.52; 95%CI: 1.83-6.76; p < 0.0001), family history of diabetes (OR 1.96; 95%CI: 1.21-3.91; p = 0.007), pre-pregnancy overweight (OR 1.85; 95%CI: 1.06-3.23; p = 0.031) or obesity (OR 2.56; 95%CI: 1.40-4.70; p = 0.002) were associated to GDM. However, after adjustment for confounders, short sleep duration did not persist as an independent risk factor for GDM (OR: 1.55; 95%CI: 0.91-2.65; ns).ConclusionsSleep disturbances are relative common among pregnant women. Although GDM seems more common among women with short sleep duration, this sleep disturbance does not seem to be an independent risk factor for GDM in women at high risk.

Italian Validation of the Pittsburgh Sleep Quality Index (PSQI) in a Population of Healthy Children: A Cross Sectional Study

Background: Sleep disorders are one of the most discussed topics in scientific literature every year. Although they are one of the most studied topics, in both adults and children, knowledge of sleep disorders and their treatment is still not completely clear, and there is a need to deepen and analyze these disorders on a country-by-country basis. However, research in the Italian literature reveals a scarce quantity of tools to evaluate sleep quality in children. The Pittsburgh Sleep Quality Index (PSQI) is probably the most commonly used retrospective self-assessment questionnaire in the adult population. Purpose: We aimed to validate and analyze the psychometric characteristics of this tool in order to detect and explore the presence of sleep disorders in a healthy Italian population of children throughout the country. Methods: Individuals aged between 3 and 16 years without symptoms of insomnia were included in this study. The reliability and construct validity of the PSQI were assessed according to Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) guidelines. Results: We enrolled 222 individuals in this study (mean age 11 years). The PSQI demonstrated good internal consistency (Cronbach’s α = 0.719). Test–retest reliability was assessed on a randomized subgroup of the sample (n = 35). The PSQI showed good test–retest reliability with an intraclass correlation coefficient of 0.829 for the total score (95% confidence interval: 0.662–0.914). The Pearson correlation coefficient, used for construct validity, showed a statistically significant positive correlation with the Sleep Disturbance Scale for Children (SDSC). Conclusion: The PSQI proved to be a very reliable and valid tool to investigate sleep experiences in children.

Nocturnal Lifestyle Behaviours and Risk of Poor Sleep during Pregnancy

The extent to which lifestyle practices at night influence sleep quality in pregnant women remains unknown. This study aimed to examine whether nocturnal behaviours were associated with poor sleep during pregnancy. We performed a cross-sectional analysis of a prospective cohort of pregnant women at 18–24 gestation weeks recruited from KK Women’s and Children’s Hospital, Singapore, between 2019 and 2021. Nocturnal behaviours were assessed with questionnaires, and sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) with a global score ≥5 indicative of poor sleep quality. Modified Poisson regression and linear regression were used to examine the association between nocturnal behaviour and sleep quality. Of 299 women, 117 (39.1%) experienced poor sleep. In the covariate-adjusted analysis, poor sleep was observed in women with nocturnal eating (risk ratio 1.51; 95% confidence interval [CI] 1.12, 2.04) and nocturnal artificial light exposure (1.63; 1.24, 2.13). Similarly, nocturnal eating (β 0.68; 95% CI 0.03, 1.32) and light exposure (1.99; 1.04, 2.94) were associated with higher PSQI score. Nocturnal physical activity and screen viewing before bedtime were not associated with sleep quality. In conclusion, reducing nocturnal eating and light exposure at night could potentially improve sleep in pregnancy.

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.

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

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

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.

Effect of circadian system disruption on the concentration and daily oscillations of cortisol, progesterone, melatonin, serotonin, growth hormone, and core body temperature in periparturient dairy cattle

Metabolic, circadian, sleep, and reproductive systems are integrated and reciprocally regulated, but the understanding of the mechanism is limited. To study this integrated regulation, the circadian timing system was disrupted by exposing late pregnant nonlactating (dry) cows to chronic shifts in the light-dark phase, and rhythms of body temperature and circulating cortisol (CORT), progesterone (P4), serotonin (5HT), melatonin (MEL), and growth hormone (GH) concentrations were measured. Specifically, across 2 identical studies (1 and 2), at 35 d before expected calving (BEC) multiparous cows were assigned to control (CON; n = 24) and exposed to 16 h light and 8 h dark or phase shift (PS; n = 24) treatments and exposed to 6-h light-dark phase shifts every 3 d until parturition. All cows were exposed to control lighting after calving. Blood samples were collected in the first study at 0600 h on d 35 BEC, d 21 BEC, and 2 d before calving, and d 0, 2, 9, 15, and 22 postpartum (PP). A subset of cows (n = 6/group) in study 1 was blood sampled every 4 h over 48 h beginning on d 23 BEC, 9 BEC, and 5 PP. Body temperature was measured every 30 min (n = 8-16/treatment) for 48 h at 23 BEC and 9 BEC in both studies; and at 14 PP and 60 PP only in study 2. Treatment did not affect levels of CORT, GH, or P4 at 0600 h, but overall level of 5HT was lower and MEL higher in PS cows across days sampled. A 2-component versus single-component cosinor model better described [>coefficient of determination (R²); <Akaike information criterion and <Bayesian information criterion] daily oscillations of all hormones and temperature for both treatments. Circadian rhythm fit (R²) of body temperature and MEL increased from 23 BEC to 9 BEC in CON and was marked by loss of feeding time influence on oscillations in both treatments. Both treatments exhibited circadian rhythms of CORT at 9 BEC, CON cows also exhibited circadian rhythms in P4 at 23 BEC, and 5HT at 9 BEC. Daily oscillations in temperature and hormones, except CORT, were affected by PS treatment in the prepartum and were associated with longer gestation. In the PP, circadian rhythmicity was lost or diminished for all hormones and body temperature in both treatments. Stronger rhythms of body temperature and multiple hormones at 1 wk prepartum may indicate a synchronizing cue to time parturition. Therefore, dairy systems may need to consider management factors that affect circadian clocks in late-gestation cows.

A Prospective Study of the Relationship Between Sleep Quality and Depression in Pregnancy

Objective

Poor sleep and depression are common problems during pregnancy, but there has been little investigation into the association between them. This prospective study aims to examine the relationship between sleep quality and depression during pregnancy.

Methods

Pregnant women under 14 weeks’ gestation attending routine outpatient antenatal care in Singapore’s largest maternity hospital were recruited between 2012 and 2014. Women with multiple pregnancies and deemed at high risk of miscarriage were excluded. Six hundred and forty participants completed the Pittsburgh Sleep Quality Index (PSQI) and Edinburgh Postnatal Depression Scale (EPDS) at the three trimesters during pregnancy.

Results

Mean PSQI score was highest in the third visit, suggesting poorer quality sleep in the late third trimester compared to other trimesters. 15.6% of participants at each time point fulfilled the criteria for antenatal depression according to the EPDS cut-off score > 14. PSQI scores were significantly correlated with EPDS scores, and also prospectively predicted EPDS scores in all three trimesters.

Conclusion

Sleep quality in Singaporean pregnant women was poorest in the third trimester, and was associated with the development of depressive symptoms. With more than 1 in 10 women having antenatal depression, interventions targeting sleep quality might be particularly beneficial.

Bump2Baby and Me: protocol for a randomised trial of mHealth coaching for healthy gestational weight gain and improved postnatal outcomes in high-risk women and their children

Background

Gestational diabetes (GDM) impacts 8–18% of pregnancies and greatly increases both maternal and child risk of developing non-communicable diseases such as type 2 diabetes and obesity. Whilst lifestyle interventions in pregnancy and postpartum reduce this risk, a research translation gap remains around delivering implementable interventions with adequate population penetration and participation. Impact Diabetes Bump2Baby is an implementation project of an evidence-based system of care for the prevention of overweight and obesity. Bump2Baby and Me is the multicentre randomised controlled trial investigating the effectiveness of a mHealth coaching programme in pregnancy and postpartum for women at high risk of developing GDM.

Methods

Eight hundred women will be recruited in early pregnancy from 4 clinical sites within Ireland, the UK, Spain, and Australia. Women will be screened for eligibility using the validated Monash GDM screening tool. Participants will be enrolled from 12 to 24 weeks’ gestation and randomised on a 1:1 basis into the intervention or control arm. Alongside usual care, the intervention involves mHealth coaching via a smartphone application, which uses a combination of synchronous and asynchronous video and text messaging, and allows for personalised support and goal setting with a trained health coach. The control arm receives usual care. All women and their children will be followed from early pregnancy until 12 months postpartum. The primary outcome will be a difference in maternal body mass index (BMI) of 0.8 kg/m² at 12 months postpartum. Secondary maternal and infant outcomes include the development of GDM, gestational weight gain, pregnancy outcomes, improvements in diet, physical activity, sleep, and neonatal weight and infant growth patterns. The 5-year project is funded by the EU Commission Horizon 2020 and the Australian National Health and Medical Research Council. Ethical approval has been received.

Discussion

Previous interventions have not moved beyond tightly controlled efficacy trials into routine service delivery. This project aims to provide evidence-based, sustainable support that could be incorporated into usual care for women during pregnancy and postpartum. This study will contribute evidence to inform the early prevention of non-communicable diseases like obesity and diabetes in mothers and the next generation.

Trial registration

Australian New Zealand Clinical Trials Registry ACTRN12620001240932. Registered on 19 November 2020

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-021-05892-4.

Stress, anxiety, and depression in infertile couples are not associated with a first IVF or ICSI treatment outcome

BACKGROUND

Psychological distress may exert a negative influence on reproductive function of couples at reproductive age. Couples seeking assisted reproductive technology (ART) treatment may have a higher prevalence of psychological distress than fertile couples. However, whether psychological distress is associated with the outcome of ART treatment remains unknown. We aimed to investigate the association of pre-treatment psychological distress and clinical pregnancy rate among infertility couples undergoing in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) treatment.

METHODS

This nested case-control study was conducted based on women who underwent their first fresh IVF or ICSI cycle in the Jiangsu Birth Cohort Study (JBC) between November 2015 and January 2019. A total of 150 women who did not obtain clinical pregnancy after first IVF or ICSI fresh embryo transfer were identified as cases, and a total of 300 age matched women who obtained clinical pregnancy were identified as controls. Conditional logistic regression analyses were used to investigate the association between psychological distress and the outcome of first IVF or ICSI treatment, adjusting for multiple potential confounders.

RESULTS

No statistically significant association was observed between score of maternal symptoms of psychological distress and clinical pregnancy. Adjusted ORs of logistic regression were 1.00 (95% CI 0.97-1.03) for anxiety, 0.98 (95% CI 0.95-1.02) for depression, and 0.98 (95% CI 0.95-1.01) for perceived stress, respectively. When treat depression and anxiety as categorical variables, 62 (13.8%) were classified as clinical depression, 11 (2.4%) were classified as clinical anxiety, among 450 women in the present study. Psychological distress symptoms were also not associated with clinical pregnancy rate. Adjusted ORs of logistic regression were 0.27 (95% CI 0.03-2.33) for anxiety, 0.88 (95% CI 0.46-1.68) for depression, respectively.

CONCLUSIONS

Our findings firstly indicated that psychological distress experienced prior to IVF/ICSI treatment was not associated with clinical pregnancy.

Brain-Derived Neurotrophic Factor (BDNF) Depression and Subjective Sleep Quality in the First Trimester of Pregnancy Among Migrant Workers in Thailand

Introduction

Brain-derived neurotrophic factor (BDNF) influences neurodevelopment during pregnancy. Maternal sleep quality and depression are suggested to influence BDNF levels. The objective of this study was to assess the association between depression, sleep quality, and BDNF levels among Myanmar migrant pregnancies.

Methods

A cross-sectional study was conducted at Krathum Baen Hospital, Samut Sakhon province, from June to October 2018. A total of 108 first-trimester women were recruited into our study. Maternal blood was collected to analyze BDNF. Depression levels were assessed using the Patient Health Questionnaire (PHQ-9) instrument. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was applied to evaluate subjective sleep quality. Because BDNF was skewed, binary logistic regression was analyzed.

Results

We found that 28.7% of pregnant women reported poor sleep quality, and 33.4% were classified as having mild to moderate depression. After adjusting for covariate variables, pregnant women with depression had higher BDNF levels than those without depression (OR = 2.972, 95% CI = [1.111, 7.949], p = 0.030). Pregnant women with poor sleep quality had lower BDNF levels than those who had good sleep quality (OR = 0.359, 95% CI = [0.132, 0.972], p = 0.044).

Discussion

The results suggested that BDNF might be an alternative tool to assess sleep quality in pregnant women.

Reliability and Validity of the Czech Version of the Pittsburgh Sleep Quality Index in Patients with Sleep Disorders and Healthy Controls

Objectives

Psychometric properties of the Czech version of the Pittsburgh Sleep Quality Index (PSQI-CZ) have been evaluated only in patients with chronic insomnia, and thus, it is unclear whether PSQI-CZ is suitable for use in other clinical and nonclinical populations. This study was aimed at examining the validity and reliability of the PSQI-CZ and at assessing whether the unidimensional or multidimensional scoring of the instrument would be recommended.

Methods

A total of 524 adult subjects from the Czech population participated in the study. The internal consistency of PSQI was evaluated using Cronbach's alpha. The known-group validity was tested using the Kruskal-Wallis H test to verify the difference between patients with sleep disorders and healthy control sample. For testing the structural validity, a cross-validation approach was used with both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). For EFA, the maximum likelihood method with direct oblimin rotation and parallel analysis was used.

Results

The internal consistency of PSQI-CZ items was moderate (α = 0.75). Receiver operating characteristic (ROC) curve analysis showed high specificity (0.79) and moderate sensitivity (0.64) using an optimal cut-off score of 10. The EFA revealed a 3-factor structure with factors labelled as “sleep duration and efficiency,” “sleep disturbances and quality,” and “sleep latency.” The CFA showed that the emerged 3-factor model had a partly acceptable fit, which was better than other previously supported models.

Conclusions

A high cut-off score of 10 is recommended to define poor sleep quality. Given the inconsistency of structural analyses, alternative scoring was not recommended. However, the individual components in addition to a total score should be interpreted when assessing sleep quality. We recommend editing and verifying the PSQI-CZ translation.

Sleeping for two: study protocol for a randomized controlled trial of cognitive behavioral therapy for insomnia in pregnant women

BACKGROUND

Insomnia and sleep disturbances are common in pregnancy and have potentially significant consequences for both maternal and infant health. There is limited research examining the effectiveness of cognitive behavioral therapy for insomnia (CBT-I) during pregnancy. With increased distress and limited access to services during the COVID-19 pandemic, there is also an unprecedented need for telehealth delivery of treatment programs for pregnant women. The aims of this trial are to evaluate the impact of the Sleeping for Two adaptation of CBT-I in pregnancy (in-person or telehealth) versus treatment as usual (TAU) in reducing symptoms of insomnia (primary outcome), as well as increasing gestational length and reducing symptoms of depression (secondary outcomes).

METHODS

A two-arm, single-blinded, parallel group randomized controlled trial (RCT) design with repeated measures will be used to evaluate the impact of CBT-I compared to TAU among a sample of 62 pregnant women, enrolled between 12 and 28 weeks of gestation, who self-identify as experiencing insomnia. Five weekly individual sessions of CBT-I will be delivered in person or via telehealth depending on physical distancing guidelines. Assessment of insomnia diagnosis by structured interview, self-reported insomnia symptom severity and sleep problems, and sleep quantity and quality as measured by a daily diary and actigraphy will occur at 12-28 weeks of pregnancy (T1), 1 week post-treatment (T2), and 6 months postpartum (T3).

DISCUSSION

CBT-I delivered in pregnancy has the potential to reduce symptoms of insomnia and depression and could lead to reduced risk of preterm birth, all of which can minimize risk of negative maternal and child health and developmental consequences in the short (e.g., infant death) and long terms (e.g., developmental delays). This RCT builds on a successful open pilot trial conducted by our team and will provide further evaluation of a novel evidence-based treatment for pregnancy-related insomnia, which can be widely disseminated and used to treat individuals that are most in need of intervention. Findings will enhance understanding of pregnancy-related sleep problems, as well as means by which to improve the health and sleep of mothers and their children.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03918057. Registered on 17 April 2019.

Sleep HAPi: A Feasibility and Descriptive Analysis of an Early and Longitudinal Sleep Education Intervention for Pregnant Women

Background: Poor sleep and prior depression are key predictors of perinatal depression, with research suggesting depressive symptoms may emerge in early pregnancy. Sleep is a potentially modifiable risk factor for depression. This pilot study examined the feasibility and acceptability of a six-month sleep education intervention designed to optimize sleep and minimize depressive symptoms throughout pregnancy. Sleep measures and depressive symptoms are described from 12 weeks gestation to 12 weeks postpartum.Participants: A community sample of nulliparous pregnant women with a history of depression were recruited prior to 14 weeks gestation.Methods: An individualized sleep education program was developed and participants engaged in three trimester specific sleep education sessions. Feasibility and acceptability were determined via recruitment and retention rates and participant feedback. Depressive symptoms and sleep were measured at five time points throughout the study.Results: 22 women enrolled in the study and 15 completed the intervention. Participants reported the intervention as highly acceptable. There was minimal change in all dimensions of sleep across pregnancy, but sleep measures were significantly worse at six weeks postpartum and improved by 12 weeks postpartum. Depressive symptoms were significantly lower at the conclusion of the intervention and 12 weeks postpartum compared to trimester 1.Conclusions: This sleep education program appears feasible, acceptable and may be effective in minimizing depressive symptoms in pregnant women with a history of depression. Trials with larger and more diverse samples are warranted and further studies to ascertain efficacy should be undertaken with a control group.

Multiple dimensions of sleep are consistently associated with chronically elevated depressive symptoms from late pregnancy to 3 years postnatal in Indigenous and non-Indigenous New Zealand women

INTRODUCTION

Poor sleep and depressive symptoms are common throughout the perinatal period, but little is known about the extended time course of depression and the sleep dimensions associated with these trajectories.

OBJECTIVE

This study investigated different depression trajectories in New Zealand Māori and non-Māori women from late pregnancy to 3 years postnatal. Relationships between multiple dimensions of sleep and these depression trajectories were also investigated.

METHODS

Data from 856 women (30.6% Māori and 69.4% non-Māori) from the longitudinal Moe Kura cohort study were used. Depressive symptoms and multiple dimensions of sleep (quality, duration, latency, continuity and daytime sleepiness) were collected at 36 weeks' gestation, 12 weeks postnatal and 3 years postnatal. Trajectory analysis was completed using latent class analysis.

RESULTS

Latent class analysis revealed two distinct groups of depressive symptom trajectories: 'chronic high' and 'stable mild' for both Māori and non-Māori women. Māori women in both trajectories were more likely than non-Māori women to have clinically significant depressive symptoms at every time point. Poorer sleep quality, latency, continuity and greater daytime sleepiness were consistently associated with the chronic high depressive symptom trajectory at all three time points, after controlling for sociodemographic factors.

CONCLUSION

A significant proportion of Māori and non-Māori women experience chronically high depressive symptoms during the perinatal period and the following years. Across this extended time frame, Māori women have a higher probability of experiencing clinically significant depressive symptoms compared to non-Māori women. These persistent patterns of depressive symptoms occur concurrently with multiple dimensions of poor sleep. Given the well-described impact of maternal depression on the mother, child, family and community, this highlights the importance of healthcare professionals asking about mothers' sleep quality, continuity, latency and daytime sleepiness as potential indicators of long-term mood outcomes.

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.

Sleep quality according to the Pittsburgh Sleep Quality Index in over 7000 pregnant women in Poland

The aim was to assess sleep quality in pregnant women, characterize sleep patterns in each trimester and to establish independent risk factors of poor sleep quality during gestation. A cross-sectional survey was conducted. The questionnaire included questions regarding sociodemographic data, information on the current pregnancy, sleep patterns and Pittsburgh Sleep Quality Index. 7202 respondents fulfilled the survey completely and only those were included. A total of 95.1% of the respondents in the first trimester, 93% in the second trimester and 94.8% in the third trimester had poor sleep quality. Significantly more women with poor sleep quality assessed their socioeconomic status as bad or sufficient (15.7 vs 8.8%; p < 0.001), stress level as higher (mean 4.7 points vs 3.9 points; p < 0.001), had lower relationship rating (mean 8.8 points vs 9.3 points; p < 0.001) or suffered from depression and anxiety disorders. Logistic regression revealed pregnancy ailments to be the strongest independent risk factors of poor sleep quality during gestation. Sleep disorders are common among pregnant women in Poland and increase significantly as the pregnancy progresses. Developing and introducing a simple and easily available screening tool to assess sleep quality in common practice might improve the quality of the health care of pregnant women.

Trajectories of Insomnia Symptoms and Associations with Mood and Anxiety from Early Pregnancy to the Postpartum

Objective/Background: The current study identified heterogeneous trajectories of insomnia symptoms from early pregnancy to early postpartum. The relationship between demographic and psychological predictors of trajectories and associations between trajectory group membership and symptoms of postpartum depression and anxiety were also explored.Participants: 142 pregnant women were enrolled in a prospective online survey.Method: Women were recruited from a maternity clinic in Calgary, AB and completed measures of insomnia symptoms, depression, generalized anxiety, and interpersonal support at four time-points. Women were recruited and completed the first survey before 20 weeks gestation and were reassessed every 10 weeks. Women were on average 15 weeks gestation, 25 weeks gestation, 35 weeks gestation, and 6 weeks postpartum at the respective time-points. Group-based trajectory analysis was used to determine trajectories of pregnancy insomnia symptoms.Results: Three trajectory groups were identified. A no insomnia group (42.3%) in which women reported consistently low insomnia symptoms. A subclinical insomnia group (44.3%) in which women reported subclinical symptoms which briefly elevated to clinical levels in late-pregnancy, and a clinical insomnia group (13.4%) in which women reported consistently elevated insomnia symptoms. Baseline predictors of membership group included anxiety, depression, and ethnicity such that members of the clinical insomnia group were more likely to also endorse anxiety and depression. Membership in the clinical insomnia group was associated with higher postpartum generalized anxiety and depressive symptoms. Additionally, the clinical insomnia group were more likely to experience symptoms indicative of clinically significant depression.Conclusions: A small group of pregnant women experienced consistently high and elevated insomnia symptoms throughout pregnancy and another larger group endorsed consistently elevated but subthreshold symptoms. Future studies should explore long-term consequences of experiencing high insomnia symptomatology during pregnancy and early postpartum, as well as safe and efficacious interventions.

Objective sleep efficiency but not subjective sleep quality is associated with longitudinal risk of depression in pregnant women: A prospective observational cohort study

BACKGROUND

Sleep disturbances are one of the most frequent chief complaints brought to the healthcare professionals during routine prenatal care visits. Sleep and mood disturbances are often intertwined, and depression in particular is a leading cause of disability and disease burden worldwide with women more likely to be affected than men. However, limited studies have prospectively investigated the association between sleep disturbances and longitudinal risk of depression in pregnant women, with no studies using actigraphy to objectively estimate daytime and nighttime sleep duration and the extent of sleep disruption.

OBJECTIVES

To examine the predictive and longitudinal association of objective actigraphic and subjective sleep disturbances with depressive symptoms in pregnant women.

DESIGN

A prospective observational cohort study.

METHODS

204 1st trimester pregnant women recruited from a university-affiliated hospital provided socio-demographic and health information, wore a wrist actigraph for 7 days, and completed Pittsburgh Sleep Quality Index, Center for Epidemiologic Studies - Depression Scale, and Epworth Sleepiness Scale. Identical data collection procedures were implemented again in the 2nd and 3rd trimester, with each data collection scheduled at least 8 weeks apart. We estimated unadjusted and multivariable adjusted odds ratios and 95% confidence intervals to evaluate various types of sleep disturbances at 1st trimester and risk of depression at follow-ups.

RESULTS

121 (59.3%) 1st trimester women had a sleep efficiency of < 85% by actigraphy, and 92 (45.1%) had Pittsburgh Sleep Quality Index global scores > 5 indicative of poor sleep quality. In multivariable adjusted models, 1st trimester objectively measured sleep efficiency < 85% was associated with 2.71-, 3.87-, and 5.27-fold increased odds having risk of depression at 2nd trimester, 3rd trimester, and both 2nd and 3rd trimesters, respectively.

CONCLUSIONS

Healthy pregnant women experience both objective and subjective sleep disturbances during the early trimester, with a substantial proportion of them also having high depressive symptoms throughout the pregnancy. Objectively assessed poor sleep quality in the 1st trimester, but not self-reported characteristics of disturbed sleep, may play a role in the development of both elevated and persistent high depressive symptoms in pregnancy. Future studies using objective sleep measurements and clinical diagnostic interviews are warranted to examine whether an early intervention aiming at improving sleep may help reduce high depressive symptom risk and lower depression rate in women during pregnancy. Tweetable abstract: Objectively assessed poor sleep efficiency in the 1st trimester predicts both elevated and persistent high depressive symptoms in pregnancy.

mHealth Mindfulness Intervention for Women with Moderate-to-Moderately-Severe Antenatal Depressive Symptoms: a Pilot Study Within an Integrated Health Care System

Objectives

Traditional mindfulness-based interventions have been shown to reduce depression symptoms in pregnant women, although in-person classes may pose significant accessibility barriers, particularly during the COVID-19 pandemic. Mobile technology offers greater convenience, but little is known regarding the efficacy of self-paced, mobile-delivered (mHealth) mindfulness interventions in this population. This study tested the feasibility and acceptability of offering such an intervention for pregnant women with moderate-to-moderately-severe depression symptoms.

Methods

We conducted a single-arm trial within Kaiser Permanente Northern California (KPNC). Participants were identified through KPNC’s universal perinatal depression screening program. Eligible participants included English-speaking pregnant women (<28 weeks of gestation) with moderate-to-moderately-severe depressive symptoms without a regular (<3 times/week) mindfulness/meditation practice. Participants were asked to follow a self-paced, 6-week mindfulness meditation program using a mobile app, Headspace™, 10–20 min/day. Outcome measures included feasibility, acceptability, and patient-reported outcomes (e.g., depression symptoms).

Results

Of the 27 women enrolled, 20 (74%) completed the study. Over half (55%) of participants used the app ≥50% of the days during the 6-week intervention. Responses to the semi-structured interviews indicated that women appreciated the convenience of the intervention and the ability to engage without having to attend classes or arrange childcare. We observed significant improvements in pre-postintervention scores for depression symptoms, perceived stress, sleep disturbance, and mindfulness.

Conclusions

Our study demonstrates the feasibility and acceptability of an mHealth mindfulness intervention for women with moderate-to-moderately-severe antenatal depression symptoms. The preliminary data further suggest that an efficacy trial is warranted.

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.

Measuring Subjective Sleep Quality: A Review

Sleep quality is an important clinical construct since it is increasingly common for people to complain about poor sleep quality and its impact on daytime functioning. Moreover, poor sleep quality can be an important symptom of many sleep and medical disorders. However, objective measures of sleep quality, such as polysomnography, are not readily available to most clinicians in their daily routine, and are expensive, time-consuming, and impractical for epidemiological and research studies., Several self-report questionnaires have, however, been developed. The present review aims to address their psychometric properties, construct validity, and factorial structure while presenting, comparing, and discussing the measurement properties of these sleep quality questionnaires. A systematic literature search, from 2008 to 2020, was performed using the electronic databases PubMed and Scopus, with predefined search terms. In total, 49 articles were analyzed from the 5734 articles found. The psychometric properties and factor structure of the following are reported: Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), Insomnia Severity Index (ISI), Mini-Sleep Questionnaire (MSQ), Jenkins Sleep Scale (JSS), Leeds Sleep Evaluation Questionnaire (LSEQ), SLEEP-50 Questionnaire, and Epworth Sleepiness Scale (ESS). As the most frequently used subjective measurement of sleep quality, the PSQI reported good internal reliability and validity; however, different factorial structures were found in a variety of samples, casting doubt on the usefulness of total score in detecting poor and good sleepers. The sleep disorder scales (AIS, ISI, MSQ, JSS, LSEQ and SLEEP-50) reported good psychometric properties; nevertheless, AIS and ISI reported a variety of factorial models whereas LSEQ and SLEEP-50 appeared to be less useful for epidemiological and research settings due to the length of the questionnaires and their scoring. The MSQ and JSS seemed to be inexpensive and easy to administer, complete, and score, but further validation studies are needed. Finally, the ESS had good internal consistency and construct validity, while the main challenges were in its factorial structure, known-group difference and estimation of reliable cut-offs. Overall, the self-report questionnaires assessing sleep quality from different perspectives have good psychometric properties, with high internal consistency and test-retest reliability, as well as convergent/divergent validity with sleep, psychological, and socio-demographic variables. However, a clear definition of the factor model underlying the tools is recommended and reliable cut-off values should be indicated in order for clinicians to discriminate poor and good sleepers.

A prospective study on the course of sleep disturbances in first-time fathers during the transition to parenthood

INTRODUCTION

This study examined sleep disturbances in first-time fathers from the third trimester of their partner's pregnancy to 2 months postpartum to determine prevalence, incidence, and persistence of sleep disturbances and identify associated determinants.

METHODS

Men expecting their first child were recruited from local prenatal classes and university-affiliated obstetric clinics. During their partner's third trimester of pregnancy and 2 months postpartum, 459 men completed standardized online self-report questionnaires measuring sociodemographics, lifestyle, and psychosocial variables and sleep quality.

RESULTS

Disturbed sleep (Pittsburgh Sleep Quality Index [PSQI] global score >5) increased from 29.6% during the third trimester to 44.7% at 2 months postpartum. The incidence of poor sleep at 2 months postpartum was 33.7%. Among men with disturbed sleep at the antenatal assessment, 70.6% continued to have sleep disturbances at 2 months postpartum. An increase in depressive symptoms and higher parenting stress was independently associated with onset and persistence of disturbed sleep at 2 months postpartum.

CONCLUSIONS

Sleep is compromised in expectant and new fathers. Strategies aimed at improving sleep, depressed mood, and managing the challenges of parenting may be important components to include in prenatal interventions aimed at enhancing the transition to parenthood and infant development.

Association Between Pittsburgh Sleep Quality Index and Depressive Symptoms in Chinese Resident Physicians

Background: Previous studies have suggested that sleep quality is associated with depressive symptoms. However, associations between overall sleep quality and depressive symptoms in Chinese resident physicians remain unclear. Therefore, we aimed to determine whether overall sleep quality is associated with depressive symptoms in Chinese resident physicians. Methods: This cross-sectional study included 1,230 resident physicians. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was applied to estimate the associations between the PSQI and PHQ-9. Results: Among all participants, the prevalence of mild (PHQ-9 ≥ 5) and moderate or severe (PHQ-9 ≥ 10) depressive symptoms were 48.28 and 12.93%, respectively. PSQI score was positively associated with PHQ-9 score before and after adjustments of socio-demographic, behavioral, and psychologic confounding factors (all P < 0.0001). After adjustments, the regression coefficients (standard error) between PSQI scores and PHQ-9 scores were 0.95 (0.04), 0.88 (0.09), and 0.96 (0.05) in all participants, men, and women, respectively. Compared to physicians with good sleep quality (PSQI scores ≤ 5), the adjusted odds ratios (ORs) [95% confidence intervals (CIs)] for mild (PHQ-9 ≥ 5) and moderate or severe (PHQ-9 ≥ 10) depressive symptoms in physicians with poor sleep quality were 7.15 (5.44, 9.46) and 6.17 (4.03, 9.71) in all participants, respectively. Conclusions: Our findings suggest that poor sleep quality was associated with a higher prevalence of depressive symptoms in Chinese resident physicians.

How stress can influence brain adaptations to motherhood

Research shows that a woman's brain and body undergo drastic changes to support her transition to parenthood during the perinatal period. The presence of this plasticity suggests that mothers' brains may be changed by their experiences. Exposure to severe stress may disrupt adaptive changes in the maternal brain and further impact the neural circuits of stress regulation and maternal motivation. Emerging literature of human mothers provides evidence that stressful experience, whether from the past or present environment, is associated with altered responses to infant cues in brain circuits that support maternal motivation, emotion regulation, and empathy. Interventions that reduce stress levels in mothers may reverse the negative impact of stress exposure on the maternal brain. Finally, outstanding questions regarding the timing, chronicity, types, and severity of stress exposure, as well as study design to identify the causal impact of stress, and the role of race/ethnicity are discussed.

Associations between Maternal Sleep Quality Throughout Pregnancy and Newborn Birth Weight

Objective: Poor sleep quality is common during pregnancy. Although a few studies have investigated the associations between maternal sleep quality and fetal birth weight (BW), no evidence has been clearly demonstrated. Our aim was to investigate the effects of sleep quality during pregnancy on the newborn BW z-scores. Participants: 1466 mother-infant pairs were included in the present study based on an ongoing prospective cohort. Methods: Questionnaires including the Pittsburgh Sleep Quality Index (PSQI) and scales for psychosocial status were administered at each trimester. BW z-scores were calculated based on the INTERGROWTH-21st standard. A generalized estimating equation model was applied to evaluate the associations between trimester-specific sleep quality and newborn BW after adjusting for potential confounders. Multivariable logistic regression models were applied to examine the impacts of maternal sleep quality on small-for-gestational-age (SGA) or low birth weight (LBW). Results: We found that maternal PSQI scores in the first and third trimesters were negatively associated with BW z-scores among female newborns (β = -0.032, 95% CI: -0.063, -0.001, P= .043; β = -0.031, 95% CI: -0.060, -0.003, P= .033, respectively). However, no relationship was observed between maternal sleep quality and BW in male neonates. Additionally, poor sleep quality in late pregnancy was a risk factor for LBW (OR = 1.501, 95% CI: 1.082-2.082). Conclusions: The BW z-scores of female newborns decreased as maternal sleep quality in the first and third trimesters worsened. This finding suggests that sleep during pregnancy may influence fetal weight in a trimester- and gender-specific manner.

Ethnicity Differences in Sleep Changes Among Prehypertensive Adults Using a Smartphone Meditation App: Dose-Response Trial

Background

African Americans (AAs) experience greater sleep quality problems than non-Hispanic Whites (NHWs). Meditation may aid in addressing this disparity, although the dosage levels needed to achieve such benefits have not been adequately studied. Smartphone apps present a novel modality for delivering, monitoring, and measuring adherence to meditation protocols.

Objective

This 6-month dose-response feasibility trial investigated the effects of a breathing awareness meditation (BAM) app, Tension Tamer, on the secondary outcomes of self-reported and actigraphy measures of sleep quality and the modulating effects of ethnicity of AAs and NHWs.

Methods

A total of 64 prehypertensive adults (systolic blood pressure <139 mm Hg; 31 AAs and 33 NHWs) were randomized into 3 different Tension Tamer dosage conditions (5,10, or 15 min twice daily). Sleep quality was assessed at baseline and at 1, 3, and 6 months using the Pittsburgh Sleep Quality Index (PSQI) and 1-week bouts of continuous wrist actigraphy monitoring. The study was conducted between August 2014 and October 2016 (IRB #Pro00020894).

Results

At baseline, PSQI and actigraphy data indicated that AAs had shorter sleep duration, greater sleep disturbance, poorer efficiency, and worse quality of sleep (range P=.03 to P<.001). Longitudinal generalized linear mixed modeling revealed a dose effect modulated by ethnicity (P=.01). Multimethod assessment showed a consistent pattern of NHWs exhibiting the most favorable responses to the 5-min dose; they reported greater improvements in sleep efficiency and quality as well as the PSQI global value than with the 10-min and 15-min doses (range P=.04 to P<.001). Actigraphy findings revealed a consistent, but not statistically significant, pattern in the 5-min group, showing lower fragmentation, longer sleep duration, and higher efficiency than the other 2 dosage conditions. Among AAs, actigraphy indicated lower sleep fragmentation with the 5-min dose compared with the 10-min and 15-min doses (P=.03 and P<.001, respectively). The 10-min dose showed longer sleep duration than the 5-min and 15-min doses (P=.02 and P<.001, respectively). The 5-min dose also exhibited significantly longer average sleep than the 15-min dose (P=.03).

Conclusions

These findings indicate the need for further study of the potential modulating influence of ethnicity on the impact of BAM on sleep indices and user-centered exploration to ascertain the potential merits of refining the Tension Tamer app with attention to cultural tailoring among AAs and NHWs with pre-existing sleep complaints.

The impact of myo-inositol supplementation on sleep quality in pregnant women: a randomized, double-blind, placebo-controlled study

BACKGROUND

Myo-inositol, a glial marker which plays a critical role in some brain regions, can supposedly affect sleep processes. The purpose of randomized controlled trial was to evaluate the impact of myo-inositol supplementation on sleep quality of pregnant women.

METHODS

The study enrolled 60 women with low risk singleton pregnancies, with a gestational age of at least 14 weeks, in Iran. The participants were block randomized to receive myo-inositol supplementation powder containing 2000 mg of myo-inositol and 200 μg of folic acid or placebo (400 μg of folic acid) for 10 weeks from the gestational age of 14-24. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI). The primary outcome was the change in sleep quality from the first trimester to the second trimester (24-28 weeks). The ANCOVA with adjusted covariate variables in the first trimester was conducted to estimate the sleep quality between the two groups.

RESULTS

The results of ANCOVA boot strapped showed that the mean difference of the total sleep quality score between the two groups was -1.537; 95% CI: -3.050 to -0.024, p = .047) in the second trimester at immediately post-intervention. Also, there were significant differences between the two groups in terms of subjective sleep quality (MD: -0.427; 95% CI: -0.725 to -0.128, p = .006, sleep duration (MD: -0.670; 95% CI: -1.240 to -0.101; p = .022) and habitual sleep efficiency (MD: -0.561; 95% CI: -1.038 to -0.085, p = .022).

CONCLUSION

The research confirmed that myo-inositol supplementation can improve global sleep quality, subjective sleep quality, and sleep duration during pregnancy. Therefore, these findings applied to minimize the rate of poor sleep quality in pregnant women.

Validity and reliability of the Indonesian version of the Pittsburgh Sleep Quality Index in adolescents

AIM

The study aims to examine the psychometric properties of the Pittsburgh Sleep Quality Index-Indonesian version.

BACKGROUND

The Pittsburgh Sleep Quality Index has never been translated into Bahasa.

DESIGN

This study employs a cross-sectional and correlational study.

METHODS

Data were collected from 528 adolescents of junior high school age (13-16 years) during August to September 2014. All participants agreed on the Indonesian version of Pittsburgh Sleep Quality Index and Beck Depression Inventory-II. Psychometric properties were examined including internal consistency, construct validity and known group validity, and the receiver operating characteristic curve was used to measure the cut-off point.

RESULTS

The Cronbach's alpha for the Pittsburgh Sleep Quality Index-Indonesian version was adequate. There were positive correlations between the total score and seven component scores. Construct validity revealed that the total score of the Pittsburgh Sleep Quality Index-Indonesian version was correlated with the total score of the Indonesian version of the Beck Depression Inventory-II. Known group validity indicated that adolescents without depression risk had better sleep quality. According to receiver operating characteristic curve analysis, the cut-off point at a score of 6.5 indicated the best possible relationship of sensitivity and specificity.

CONCLUSION

The Pittsburgh Sleep Quality Index-Indonesian version has high reliability and validity for screening sleep quality among adolescents.

Psychometric and Structural Validity of the Pittsburgh Sleep Quality Index among Filipino Domestic Workers

Objectives : Evaluate the psychometric properties and structural validity of the Filipino version of the Pittsburgh Sleep Quality Index (PSQI) among Filipino domestic workers (FDWs). Methods : In Study 1, 131 FDWs completed PSQI and other scales, along with 10-day actigraphic assessment with accompanying electronic daily sleep dairy. A subsample of 61 participants completed follow-up assessment after 10 days. In Study 2, 1363 FDWs were recruited and randomized into two halves. Exploratory factor analysis (EFA) and Confirmatory factor analysis (CFA) were used in the two halves, respectively. Results : In Study 1, the Cronbach’s alpha of the PSQI was 0.63 at baseline and 0.67 at follow-up. Test-retest reliability for the PSQI global score based on intraclass correlation was 0.63. Convergent validity was supported by the significant associations between the PSQI global score, PSQI components scores, sleep patterns from the daily sleep diary, and measures of depression, anxiety, and rumination. Small correlations between the PSQI global score and measures of daytime sleepiness, social support, and self-reported height, supported discriminant validity. In Study 2, EFA yielded two PSQI factors with acceptable factor loadings. CFA established that this two-factor model, comprised of perceived sleep quality and sleep efficiency, evidenced better model fit than alternative models tested. The Cronbach’s alpha of two factors was 0.70 and 0.81, respectively. Conclusions : The PSQI demonstrated good internal consistency of two factors, and good convergent, and divergent validity. Results can be referenced in future studies to measure and screen sleep dysfunction among clinical and non-clinical populations in the Philippines.

A Pilot Study of a Sleep Intervention Delivered through Group Prenatal Care to Overweight and Obese Women

OBJECTIVES

We sought to investigate the feasibility of a behavioral sleep intervention for insomnia, delivered through group prenatal care and the relationship of this intervention to improvements in insomnia symptoms and sleep quality.

PARTICIPANTS

Women receiving prenatal care and reporting a pre-pregnancy BMI of ≥25 kg/m² and sleep duration of <6.5 h per night.

METHODS

Participants were randomized to group prenatal care or group prenatal care with a behavioral sleep intervention, adapted from cognitive behavioral therapy for insomnia (CBT-I) online program Go! to Sleep®. In the second trimester (T1), late third trimester (T2) and 6-8 weeks postpartum (T3) study assessments were completed including the Insomnia Severity Index, Pittsburgh Sleep Quality Index, fasting glucose and insulin and weight and height. Data were analyzed using independent samples t-tests, chi-square tests, correlations, and two-way repeated measures ANOVA where appropriate. P < .05 was set as the level of significance.

RESULTS

From May 2014 to April 2015, 311 women were evaluated for inclusion and 53 women were randomized to participate (27 intervention; 26 control), 15% were lost to follow up. The intervention group had lower third trimester and postpartum levels of moderate to severe insomnia (T2 50.0% vs 85.0% (p = .018) and T3 13.6% vs 52.4% (p-.008)) and mean insomnia severity scores (T2 (14.7 (±6.6) vs 19.3 (± 6.0) p = .02) and T3 (9.7 (±5.4) vs 15.1(±7.2) p = .01)) when compared to the control group.

CONCLUSION

A randomized controlled trial of a behavioral sleep intervention for insomnia delivered through group prenatal care led to improvements in insomnia symptoms.

Efficacy of Digital Cognitive Behavioral Therapy for the Treatment of Insomnia Symptoms Among Pregnant Women: A Randomized Clinical Trial

IMPORTANCE

Despite the prevalence and adverse consequences of prenatal insomnia, a paucity of research is available regarding interventions to improve insomnia symptoms during pregnancy.

OBJECTIVE

To test the efficacy of digital cognitive behavioral therapy for insomnia (CBT-I) compared with standard treatment among pregnant women with insomnia symptoms.

DESIGN, SETTING, AND PARTICIPANTS

This randomized clinical trial enrolled pregnant women from November 23, 2016, to May 22, 2018. Of the 2258 women assessed for eligibility using an online self-report questionnaire, 208 were randomized to receive digital CBT-I (n = 105) or standard treatment (n = 103) for insomnia. Participants were pregnant up to 28 weeks' gestation, and they either had elevated insomnia symptom severity or met the criteria for insomnia caseness as determined by self-report questionnaires. Participants completed outcome measures at 10 weeks (postintervention) and 18 weeks (follow-up) after randomization. All study visits were completed remotely, and the intervention was delivered digitally. Data were analyzed between December 12, 2018, and July 2, 2019.

INTERVENTIONS

Digital CBT-I consisted of 6 weekly sessions of approximately 20 minutes each. Standard treatment reflected standard care. Women receiving standard treatment had no limits placed on the receipt of nonstudy treatments, including medication and psychotherapy.

MAIN OUTCOMES AND MEASURES

All outcomes were assessed remotely using self-report questionnaires administered via online survey. The primary outcome was the change in insomnia symptom severity (measured by the Insomnia Severity Index) from baseline to postintervention. Secondary outcomes were sleep efficiency and nightly sleep duration (defined by sleep diary), global sleep quality (measured by the Pittsburgh Sleep Quality Index), depressive symptom severity (measured by the Edinburgh Postnatal Depression Scale), and anxiety symptom severity (measured by the Generalized Anxiety Disorder Scale-7). For each outcome, we also examined the change from baseline to follow-up.

RESULTS

The 208 participants had a mean (SD) age of 33.6 (3.7) years and a mean (SD) gestational age of 17.6 (6.3) weeks at baseline. Most of the participants were white (138 [66.3%]), married or cohabiting (196 [94.2%]), had a college degree (180 [86.5%]), and earned $100 000 or more per year (141 [67.8%]). Women randomized to receive digital CBT-I experienced statistically significantly greater improvements in insomnia symptom severity from baseline to postintervention compared with women randomized to receive standard treatment (time-by-group interaction, difference = -0.36; 95% CI, -0.48 to -0.23; χ2 = 29.8; P < .001; d = -1.03). Improvements from baseline to postintervention for all secondary outcomes, with the exception of sleep duration, were statistically significant. A similar pattern of results was evident for the change from baseline to follow-up.

CONCLUSIONS AND RELEVANCE

In this trial, digital CBT was an effective, scalable, safe, and acceptable intervention for improving insomnia symptoms during pregnancy.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT02805998.

A Longitudinal Study of Physical Activity to Improve Sleep Quality During Pregnancy

PURPOSE

To explore the association between maternal physical activity (PA) and sleep quality during pregnancy, and the necessary PA level at different gestational stages to attain improved sleep quality.

METHODS

A total of 2443 participants were recruited from the Shanghai Maternal-Child Pairs Cohort (Shanghai MCPC) study, who had completed questionnaires including the Pittsburgh Sleep Quality Index (PSQI) and the International Physical Activity Questionnaire (IPAQ) at gestational weeks (GW) of 12-16 and 32-36. PSQI scores and their seven components at the two GW were compared, as were PSQI scores at 12-16 and 32-36 GW and the increment in PSQI relative to PA. Regression analysis was conducted to assess the effect of PA and its change on the total PSQI score at different GW.

RESULTS

The mean PSQI scores increased significantly during pregnancy, from 6.30 ± 3.01 at 12-16 GW to 7.23 ± 3.47 at 32-36 GW. Compared with women in low PA level, moderate levels of PA at both 12-16 GW and 32-36 GW were significantly reduced PSQI scores of 0.42 (95% CI:-0.68,-0.16) and 0.32 (95% CI:-0.63,-0.01), respectively. At 32-36 GW, high PA level also significantly decreased PSQI score, with a greater decline than moderate PA level. (AOR=-0.87,95% CI:-1.57,-0.18). PA increment from 12-16 to 32-36 weeks of pregnancy created a significant decline of 0.54 in PSQI scores.

CONCLUSION

The study revealed sleep quality was worse at the third trimester and moderate PA level had the potential for improvement of sleep quality both in the first and the third trimester. High PA level was also beneficial to improve sleep quality of pregnant women in the third trimester.

Poor sleep quality is associated with perinatal depression. A systematic review of last decade scientific literature and meta-analysis

Background Although pregnancy is frequently associated with mental states of happiness, hope and well-being, some physical and psychological changes can contribute to increased sleep disturbances and worsened sleep quality. Sleep quality has been linked to negative emotions, anxiety and depression. The main objective of this paper was to systematically review the impact of sleep during pregnancy on maternal mood, studying the association between objective and subjective measures of sleep quality and perinatal depression. Methods We performed a systematic review according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, which included studies published between January 2008 and April 2019, and met the following criteria: (i) studies on pregnant women assessing the effects of sleep quality variables on perinatal mood disorders, (ii) studies published in English and (iii) full paper published in a peer-reviewed scientific journal with full-text format available. Results A total of 36 studies published in the last decade met the inclusion criteria for qualitative review and eight of them were suitable for meta-analysis. Both confirmed the negative effects of poor sleep on perinatal mood. However, qualitative analysis showed that unrepresentative samples and low participation rates falling below 80% biased some of the studies. The standard random-effects meta-analysis showed a pooled size effect [ln odds ratio (OR) 1.49 (95% confidence interval [CI] 1.19, 1.79)] for perinatal depression in cases of poor prenatal sleep quality, although heterogeneity was moderate to high [Q 16.05, P ≤ 0.025, H2 2.45 (95% CI 1.01, 13.70)]. Conclusion Poor sleep quality was associated with perinatal mood disturbances. The assessment of sleep quality along the pregnancy could be advisable with a view to offering preventative or therapeutic interventions when necessary.

Poor Postpartum Sleep Quality Predicts Subsequent Postpartum Depressive Symptoms in a High-Risk Sample

STUDY OBJECTIVES

Postpartum depression (PPD) occurs in 15% to 20% of mothers worldwide and is associated with adverse outcomes for mother and child. Prior research has established a relationship between concurrent sleep quality and PPD. We conducted a secondary analysis in 45 women with mood disorders to study overall sleep quality (and individual components of sleep), measured in the early postpartum period, as a predictor of subsequent PPD.

METHODS

We measured sleep quality using the Pittsburgh Sleep Quality Index (PSQI; subscale and total scores) at 1 month postpartum (and during the third trimester). We measured depressive symptoms using the Inventory of Depressive Symptoms, Self-Report (IDS-SR) at 3 months postpartum. We used bivariate and multivariate linear regression models to study the association between PSQI and IDS scores.

RESULTS

We found that higher global PSQI scores as well as higher component scores for self-reported sleep quality, sleep latency, sleep efficiency, sleep medication usage, and daytime dysfunction, measured 1 month postpartum, were associated with increased IDS scores (at 3 months postpartum (P = .01, .01, .01, .003, < .001, respectively). We did not find an association between poor sleep quality in the third trimester and PPD.

CONCLUSIONS

Poor sleep quality in the early postpartum period independently predicts development of later PPD. This is clinically significant and highlights the importance of sleep interventions as an immediate postpartum therapeutic tool.

CITATION

McEvoy KM, Rayapati D, Washington Cole KO, Erdly C, Payne JL, Osborne LM. Poor postpartum sleep quality predicts subsequent postpartum depressive symptoms in a high-risk sample. J Clin Sleep Med. 2019;15(9):1303-1310.

Probiotics in pregnancy: protocol of a double-blind randomized controlled pilot trial for pregnant women with depression and anxiety (PIP pilot trial)

Background

Maternal prenatal depressive or anxiety symptoms are associated with adverse maternal and infant health outcomes. With prevalence rates of maternal prenatal depression and anxiety ranging between 10 and 20%, attempts to identify effective interventions to reduce symptoms are priority. There are indications that probiotics can reduce symptoms of maternal depression or anxiety. Probiotics ingested by the mother may thus offer a promising and accessible intervention to complement existing treatments.

Methods

The Probiotics in Pregnancy (PIP) pilot trial is a double-blind, placebo-controlled, randomized pilot trial. While one group orally consumes a probiotic mixture (Ecologic® Barrier; 2,5 × 109 colony forming units/g; 2 g; daily), the other group consumes a placebo, from between 26 and 30 weeks gestation until delivery. Subjects are randomly allocated (1:1) to the intervention or placebo group. Forty healthy pregnant women with symptoms of depression or anxiety and uncomplicated pregnancies at randomization will be included. The primary aim is to determine the feasibility and acceptability of a probiotic trial to reduce symptoms of maternal depression or anxiety in pregnancy. The secondary aim is to exploratorily compare the potential effect of probiotics, compared to placebo, on depressive and/or anxiety symptoms, maternal stress (i.e. reported/hair cortisol), maternal vaginal and intestinal microbiota, and by possibly affecting maternal mood and microbiota, maternal bonding to offspring, infant microbiota and infant crying.

Discussion

Results of this pilot trial will help determine whether or not to proceed with a full trial after the pilot trial, and if so, whether revisions should be made to the study protocol and procedures before conducting a full randomized controlled trial. Additionally, they are expected to provide insights into whether changes in psychological, behavioral and biological parameters can be attributed to the probiotic intervention.

Trial registration

Netherlands Trial Register, NTR6219. Registered on 28 February 2017.

Electronic supplementary material

The online version of this article (10.1186/s13063-019-3389-1) contains supplementary material, which is available to authorized users.

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

BACKGROUND

Despite high prevalence and clinical implications of disturbed sleep during pregnancy, information on changes in sleep across pregnancy and postpartum is incomplete. Moreover, predictors of differential patterns of sleep quality across the perinatal period are poorly defined.

METHODS

This study examined subjective sleep quality using the Pittsburgh Sleep Quality Index during each trimester of pregnancy and at 4-11 weeks postpartum among 133 women inclusive of nulliparous and multiparous African Americans and Whites.

RESULTS

At any given assessment, 53%-71% of women reported poor overall sleep quality (Pittsburgh Sleep Quality Index total score > 5). Moreover, 92% reported poor overall sleep quality during at least 1 assessment, including 88% at some time during gestation. Compared to nulliparous women, multiparous women reported poorer overall sleep quality, shorter sleep duration, and poorer sleep efficiency during the first trimester; poorer overall sleep quality and longer sleep latency in the second trimester; and more frequent sleep disturbances (eg, night time and early morning awakenings) during the third trimester. Among nulliparous as well as multiparous women, specific aspects of sleep (eg, subjective sleep quality, sleep disturbances, sleep efficiency) were poorer in African American compared to White women at different time points during pregnancy. No effects of race or parity were observed on sleep parameters at postpartum.

CONCLUSIONS

Poor sleep quality during pregnancy as well as early postpartum is highly prevalent among both African American and White women. Both multiparous status and African American race are associated with more disturbed sleep at some time points during pregnancy. These individual differences should be considered in future research and clinical efforts to promote perinatal sleep health.