Associations between prenatal sleep and psychological health: a systematic review

Relationship between multidimensional sleep health and depression during late pregnancy: a cross-sectional study

BACKGROUND

Depression is common among pregnant women and identifying modifiable risk factors is critical (e.g., sleep). Individual sleep dimensions, e.g., short sleep duration and poor sleep quality, were associated with a higher risk of depression, while whether the multidimensional construct of sleep health could be a protective or risk factor for prenatal depression remains unknown. This study aimed to examine the relationship between multidimensional sleep health and depression during late pregnancy.

METHODS

This study was conducted among women during late pregnancy (28-40 weeks). Sleep health was measured by self-report questionnaires. Each dimension (sleep quality, duration, efficiency, timing, regularity and daytime sleepiness) was categorized as "good" or "poor". A composite sleep health score was calculated. Depression was measured using the Edinburgh Postnatal Depression Scale. Logistic regression analyses were used to examine the associations between individual sleep health dimensions and depression. Restricted cubic spline analysis was used to explore the dose-response relationship between overall sleep health and depression.

RESULTS

A total of 329 women were included. Their mean age was 31.6 years and the mean gestational age was 34.7 weeks. Sixty (18.2%) had clinically elevated depression. There was a dose-response relationship between composite sleep health score and depression, with a higher sleep health score associated with a lower risk of depression (OR = 0.572, 95%CI = 0.423-0.774, p for linearity < 0.001). Controlling for covariates, poor sleep quality (OR = 3.485, 95%CI = 1.817-6.683, p < 0.001), short sleep duration (OR = 3.462, 95%CI = 1.513-7.924, p = 0.003), and excessive daytime sleepiness (OR = 3.409, 95%CI = 1.804-6.442, p < 0.001) were associated with a higher risk of depression.

CONCLUSION

Both overall sleep health and individual dimensions (sleep quality, short sleep duration, and daytime sleepiness) were associated with depression during late pregnancy. These findings highlight the potential benefits of maintaining sleep health to achieve mental wellbeing in pregnant women. Healthcare providers may consider adding the assessment and management of sleep health as part of routine prenatal care.

CLINICAL TRIAL NUMBER

Not applicable.

Family Support Moderates the Relationship Between Pregnancy Stress, Depressive Symptoms, and Insomnia

Objective

Insomnia is a common issue that pregnant women often have to deal with. This study seeks to examine the connections between pregnancy stress, depressive symptoms, family support, and insomnia symptoms.

Methods

Convenience sampling was employed to recruit 1049 valid participants. The primary measurement tools utilized were the Pregnancy Stress Scale, the Family Support Subscale, and the Patient Health Questionnaire-2. Data analysis was conducted using SPSS 24.0 software. Using binary logistic regression to verify the independent effects of pregnancy stress, depression symptoms, and family support on insomnia symptoms. PROCESS macro Model 4 was applied to assess the mediating effect, while PROCESS macro Model 5 was used to evaluate the moderating effect.

Results

The overall prevalence of insomnia symptoms and depressive symptoms among pregnant women was 54% (n=572) and 20% (n=207) in this study. Pregnancy stress, depressive symptoms and family support positively affect insomnia symptoms. The indirect effect of depressive symptoms between pregnancy stress and insomnia symptoms was significant, with the mediator proportion of 45.16%. As moderator, family support weakens the impact of pregnancy stress on insomnia symptoms.

Conclusion

Increased pregnancy stress and increased depressive symptoms could trigger insomnia symptoms. Depressive symptoms mediated the path from between pregnancy stress and insomnia symptoms. Family support weakened the link between pregnancy stress and insomnia symptoms. These findings can assist pregnant women in managing stress more effectively and improving their mental well-being.

Sleep-specific repetitive negative thinking processes and prenatal insomnia symptoms: A naturalistic follow-up study from mid- to late-pregnancy

Insomnia symptoms are highly prevalent during pregnancy; therefore, identifying modifiable risk markers is important for risk prediction and early intervention. This study aimed to examine the role of sleep-specific rumination and sleep-specific worry in prenatal insomnia symptoms. A total of 859 married pregnant women without history of psychiatric illnesses (mean [standard deviation] age, 30.15 [3.86] years; 593 [69.0%] with a bachelor's degree or above) were enrolled from the obstetrical outpatient departments of two tertiary comprehensive hospitals in Shandong, China, who completed assessments of sleep-specific rumination, sleep-specific worry, and insomnia symptoms at baseline (mid-pregnancy) and follow-up (late-pregnancy). Measures included Daytime Insomnia Symptom Response Scale, Anxiety and Preoccupation about Sleep Questionnaire, and Insomnia Severity Index. Our results showed that after controlling for covariates, both sleep-specific rumination and sleep-specific worry showed significant concurrent and prospective associations with insomnia symptoms, and the increases in scores of sleep-specific rumination and sleep-specific worry over time were significantly associated with the increased likelihood of insomnia symptoms at follow-up. Moreover, the increases in sleep-specific rumination and sleep-specific worry over time were significantly associated with the increased likelihood of reporting newly developed insomnia symptoms rather than persistent normal sleep. However, the changes in sleep-specific rumination and sleep-specific worry were not significantly associated with the likelihood of reporting persistent or remitted insomnia symptoms rather than persistent normal sleep. In conclusion, sleep-specific rumination and sleep-specific worry were significantly associated with concurrent or subsequent insomnia symptoms; thus, they may be promising cognitive risk markers and intervention targets.

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.

Associations between lifestyle and well-being in early and late pregnancy in women with overweight or obesity: Secondary analyses of the PEARS RCT

OBJECTIVES

The associations between individual lifestyle behaviours and well-being are still poorly understood, particularly in the antenatal period when women are exposed to physiological changes and increased psychological distress. A healthy lifestyle score (HLS) comprising protective lifestyle behaviours may be useful for studying links between overall lifestyle and psychosocial outcomes. This study aimed to examine bidirectional associations between a HLS and its components and psychological well-being in pregnant women with overweight/obesity.

DESIGN

Secondary analyses of data from the PEARS trial.

METHODS

Healthy lifestyle scores (scored 0-5) based on maternal diet (AHEI-P), physical activity (MET-minutes), alcohol consumption, smoking, and sleep habits were created for 330 and 287 mothers with overweight/obesity in early (14-16 weeks gestation) and late pregnancy (28 weeks gestation), respectively. Psychological well-being was measured with the WHO-5 well-being index. Cross-lagged path models (crude/adjusted) tested the directionality of relationships between lifestyle (composite score/individual components) and well-being cross-sectionally and over time in pregnancy.

RESULTS

The mean early pregnancy BMI was 29.2 kg/m2. The mean well-being score was 56.3% in early and 60.7% in late pregnancy. Significant autoregressive effects were observed for the HLS, all individual components, and well-being from early to late pregnancy. Well-being was positively correlated with the HLS, physical activity, and sleep variables within time points (in early and/or late pregnancy). Sleep and no smoking in early pregnancy predicted higher well-being in late pregnancy.

CONCLUSIONS

Overall healthy lifestyle, physical activity, and especially sleep duration and quality are associated with psychological well-being in pregnancy, and should be promoted antenatally.

Sleep quality during pregnancy following assisted reproductive technology and natural conceiving: a prospective birth cohort study

Purpose

To investigate the association of sleep quality during pregnancy on in vitro fertilization/intra-cytoplasmic sperm injection (IVF/ICSI) and natural conceiving (NC), as well as anxiety, depression, and perceived stress.

Methods

This prospective cohort study includes 500 infertile pregnant women undergoing IVF/ICSI and 678 NC women in a Sichuan birth cohort. Data on sleep, anxiety, depression, and stress was collected in the first trimester (T1), second trimester (T2), and third trimester (T3) using integrated questionnaires. Sleep quality is quantified by the Pittsburgh Sleep Quality Index (PSQI) with a cut-point of 5 indicating poor sleep. The Self-rating Anxiety Scale (SAS), the Center for Epidemiologic Study of Depression scale (CES-D), and the Perceived Stress scale (PSS) were used for assessing anxiety, depression, and perceived stress symptoms. Additionally, the matched husbands are surveyed. Multivariable logistic regression models with adjustments for influencing factors were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations of sleep quality.

Results

In the IVF/ICSI group, 61.1%, 55.5%, and 66.5% of participants in T1, T2, and T3 reported poorer sleep quality compared to the NC group, which had 43.2%, 37.4%, and 46.4% throughout the same trimesters. Additionally, the IVF/ICSI group exhibited higher levels of negative psychological factors as measured by the CES-D and PSS during T1 and T2, showing statistical significance in T1 (P = 0.008, P < 0.001) and T2 (P = 0.038, P < 0.001), except at T3 (P = 0.107, P = 0.253). In addition to psychological factors and IVF/ICSI treatment, poor sleep quality was also associated with advanced age. However, there was no significant difference in sleep quality between the husbands of the IVF/ICSI and NC groups.

Conclusion

The study reveals that women receiving IVF/ICSI treatment are at a higher risk of experiencing sleep disturbances throughout their pregnancy compared with women with natural conception. While partners typically do not report major sleep problems, they do exhibit increased anxiety levels. These findings underscore the necessity for screening and addressing sleep issues in women pregnant through assisted IVF/ICSI treatment, to promote their well-being during this critical period.

Cannabis Use and Trajectories of Depression and Stress Across the Prenatal Period

Importance

Cannabis use among pregnant individuals has increased. Depression and stress are frequently reported motives for cannabis use that may prolong using cannabis during pregnancy.

Objective

To examine associations between changes in depression, stress, and self-reported prenatal cannabis use (PCU), to examine motives for PCU, and to examine whether trajectories of depression and stress vary across individuals who report using cannabis to cope with mental health symptoms and/or stress, those who use cannabis for other reasons, and those who do not report PCU.

Design, Setting, and Participants

This cohort study recruited pregnant individuals at an obstetric clinic at an academic hospital between July 2019 and January 2024 and followed them during pregnancy. Pregnant individuals with a history of lifetime cannabis use were included. Individuals reporting heavy episodic alcohol use or with other illicit drug use were excluded.

Exposure

Self-reported PCU.

Main Outcomes and Measures

The primary outcomes were self-reported depression (Edinburgh Postnatal Depression Scale), stress (Cohen Perceived Stress Scale), and cannabis use at each trimester during pregnancy, as well as motives for cannabis use during the first trimester (T1). Stability and changes in depression and stress scores and categorical self-reported prenatal cannabis use from T1 to the third trimester (T3) were estimated using individual linear growth curve models.

Results

In this sample of 504 patients (all identified as women; median [IQR] age, 26 [18-40] years), 236 individuals (46.8%) reported PCU after pregnancy knowledge. Depression, stress, and PCU decreased from T1 to T3 (all slope estimates less than -0.29; SEs, 0.23-0.7; all P < .001). There were positive associations between depression and PCU at T1 (r = 0.17; P = .004) and in their rate of change (r = 0.18; P = .01). Only T1 stress and PCU were correlated (r = 0.14; P = .004). Participants reporting PCU for mental health reasons (137 participants [58.1%]) had the highest depression scores at each trimester; however, their rate of change in depression was statistically equivalent to those who did not use cannabis.

Conclusions and Relevance

In this cohort study of PCU, participants who used cannabis did not experience a more significant decline in stress or depression symptoms compared with those who did not use cannabis. Individuals who used cannabis for mental health reasons did not hasten a decrease in their symptoms. Health care professionals are encouraged to enhance prenatal individuals' access to empirically supported treatments for depression and stress.

Sleep Disturbances Among Pregnant Women Attending a Maternity Teaching Hospital in Erbil, Iraq

Background and aim Sleep disturbances during pregnancy are a common occurrence and can significantly impact both maternal and fetal health. Therefore, this study aimed to assess the severity of sleep disturbances among pregnant women attending the Erbil Maternity Teaching Hospital in Erbil, Iraq. Method This cross-sectional study was conducted from July 15, 2023, to August 15, 2024, at the Erbil Maternity Teaching Hospital in Erbil using convenience sampling. Data were gathered using a self-structured questionnaire that included demographic information and a 20-item sleep disturbance assessment. Statistical analysis was performed using Stata version 12 (StataCorp LLC, College Station, TX), and parametric tests such as the t-test, ANOVA, and multiple linear regression were used to examine the relationships between sleep disturbances and demographic variables. A p-value of less than 0.001 was considered statistically significant. Results A total of 300 participants were enrolled in the study. The mean sleep disturbance score was 47.58 ± 9.83, indicating that most participants experienced mild sleep disturbances. Sleep disturbances did not significantly differ by age, education level, occupation, or residency. However, economic status was significantly associated with sleep disturbance levels, with lower-income participants experiencing more severe disturbances (p = 0.02). Conclusions The study found that most pregnant women experienced mild sleep disturbances, with lower economic status being a significant predictor of more severe sleep issues. Healthcare providers and policymakers are recommended to develop targeted interventions that address the unique needs of pregnant women, particularly those from lower-income groups, to improve sleep quality and overall maternal health outcomes.

Sleep quality disparities in different pregnancy trimesters in low- and middle-income countries: a systematic review and meta-analysis

INTRODUCTION

Sleep is a crucial determinant of maternal and fetal health, significantly impacting the well-being of both the mother and her developing fetus. Poor sleep quality, characterized by difficulties in falling asleep or staying asleep, can cause poor pregnancy outcome. Conversely, studies came with inconsistent result in the prevalence of poor sleep quality in different trimester of pregnancy. Therefore, this systematic review and meta-analysis study aimed to compare the prevalence of poor sleep quality in different trimesters.

METHOD

A systematic review and meta-analysis were done on published studies. Electronic data base search was done from PubMed, Hinari, Medline and Google Scholar. Data were extracted with Excel and the analysis were done using STATA version 17. Publication bias was assessed both graphically and statistically. I-square test was used to identify heterogeneity.

RESULT

In this meta-analysis, 38 studies that measured poor sleep quality using the Pittsburg Sleep Quality Index (PSQI ≥ 5) were included. The pooled prevalence of poor sleep quality was identified as 37.46% (95% CI: 29.26, 45.67) in the first trimester, 47.62% (95% CI: 42.23, 53.02) in the second trimester, and 60.05% (95% CI: 51.32, 68.78) in the third trimester.

CONCLUSION

This study identified a significant discrepancy in the prevalence of poor sleep quality, which increases as gestational age advances. Therefore, this discrepancy should be addressed, and additional support should be provided to pregnant women to help them achieve adequate sleep, especially as gestational age advances.

Biological and behavioral pathways from prenatal depression to offspring cardiometabolic risk: Testing the developmental origins of health and disease hypothesis

Given prior literature focused on the Developmental Origins of Health and Disease framework, there is strong rationale to hypothesize that reducing depression in the prenatal period will cause improvements in offspring cardiometabolic health. The current review outlines evidence that prenatal depression is associated with offspring cardiometabolic risk and health behaviors. We review evidence of these associations in humans and in nonhuman animals at multiple developmental periods, from the prenatal period (maternal preeclampsia, gestational diabetes), neonatal period (preterm birth, small size at birth), infancy (rapid weight gain), childhood and adolescence (high blood pressure, impaired glucose-insulin homeostasis, unfavorable lipid profiles, abdominal obesity), and into adulthood (diabetes, cardiovascular disease). In addition to these cardiometabolic outcomes, we focus on health behaviors associated with cardiometabolic risk, such as child eating behaviors, diet, physical activity, and sleep health. Our review focuses on child behaviors (e.g., emotional eating, preference for highly palatable foods, short sleep duration) and parenting behaviors (e.g., pressuring child to eat, modeling of health behaviors). These changes in health behaviors may be detected before changes to cardiometabolic outcomes, which may allow for early identification of and prevention for children at risk for poor adult cardiometabolic outcomes. We also discuss the methods of the ongoing Care Project, which is a randomized clinical trial to test whether reducing prenatal maternal depression improves offspring's cardiometabolic health and health behaviors in preschool. The goal of this review and the Care Project are to inform future research, interventions, and policies that support prenatal mental health and offspring cardiometabolic health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The prevalence of depression in women with pregnancy-related pelvic girdle pain: A systematic review and meta-analysis

Background and Aims

Pregnancy-related pelvic girdle pain (PPGP) is estimated to affect between 20% and 70% of pregnant women with 10% experiencing it for more than 3 months postpartum. Women may also experience depression during this period. Understanding the prevalence of depression in women with PPGP is important to inform clinical management. This systematic review aimed to examine the prevalence of depression in women with PPGP in the antepartum and postpartum periods.

Methods

A systematic review and meta-analysis. Seven databases were searched from inception until May 24, 2023, combining keywords relating to pelvic girdle pain (PGP), depression, and pregnancy. Two investigators independently screened study titles and abstracts against the eligibility criteria, extracting data characteristics of all included studies. Included articles were assessed for risk of bias. Summary estimates of the prevalence of depression were calculated with a random effects meta-analysis (stratified by antepartum and postpartum periods).

Results

Eleven studies (3172 participants) were included with nine suitable for meta-analysis. The overall summary estimate of prevalence of depression among women with PPGP was 24% (95% confidence interval [CI] = 15%-37%), with significant heterogeneity between studies (I 2 = 97%, p < 0.01). Among individual studies, the estimates ranged from 18% to 48% in the antepartum PGP population and from 5% to 39% in the postpartum PGP population. The summary estimate in the antepartum group was 37% (95% CI = 19%-59%; prediction interval 8%-81%) and 15% (95% CI = 7%-30%; prediction interval 3%-56%) in the postpartum group, although time (antepartum vs. postpartum) did not have a statistically significant moderating effect (p = 0.06). Two thirds of the studies were undertaken with Scandinavian populations, limiting the generalizability of these findings.

Conclusion

Summary estimates for the prevalence of depression in women with PPGP are similar to previous studies investigating depression in the general peri-natal population.

Impact of prenatal maternal depression on gestational length: post hoc analysis of a randomized clinical trial

Background

Shortened gestation is a leading cause of childhood morbidity and mortality with lifelong consequences for health. There is a need for public health initiatives on increasing gestational age at birth. Prenatal maternal depression is a pervasive health problem robustly linked via correlational and epidemiological studies to shortened gestational length. This proof-of-concept study tests the impact of reducing prenatal maternal depression on gestational length with analysis of a randomized clinical trial (RCT).

Methods

Participants included 226 pregnant individuals enrolled into an RCT and assigned to receive either interpersonal psychotherapy (IPT) or enhanced usual care (EUC). Recruitment began in July 2017 and participants were enrolled August 10, 2017 to September, 8 2021. Depression diagnosis (Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition; DSM 5) and symptoms (Edinburgh Postnatal Depression Scale and Symptom Checklist) were evaluated at baseline and longitudinally throughout gestation to characterize depression trajectories. Gestational dating was collected based on current guidelines via medical records. The primary outcome was gestational age at birth measured dichotomously (≥39 gestational weeks) and the secondary outcome was gestational age at birth measured continuously. Posthoc analyses were performed to test the effect of reducing prenatal maternal depression on gestational length. This trial is registered with ClinicalTrials.gov (NCT03011801).

Findings

Steeper decreases in depression trajectories across gestation predicted later gestational age at birth, specifically an increase in the number of full-term babies born ≥39 gestational weeks (EPDS linear slopes: OR = 1.54, 95% CI 1.10-2.16; and SCL-20 linear slopes: OR = 1.67, 95% CI 1.16-2.42). Causal mediation analyses supported the hypothesis that participants assigned to IPT experienced greater reductions in depression symptom trajectories, which in turn, contributed to longer gestation. Supporting mediation, the natural indirect effect (NIE) showed that reduced depression trajectories resulting from intervention were associated with birth ≥39 gestational weeks (EPDS, OR = 1.65, 95% CI 1.02-2.66; SCL-20, OR = 1.85, 95% CI 1.16-2.97).

Interpretation

We used a RCT design and found that reducing maternal depression across pregnancy was associated with lengthened gestation.

Funding

This research was supported by the NIH (R01 HL155744, R01 MH109662, R21 MH124026, P50 MH096889).

Can't stop won't stop: problematic phone use, sleep quality, and mental health in U.S. Graduate students

OBJECTIVE

Prior work has suggested the impact of problematic phone use on the mental health of graduate students. This research explores the mediating effect of sleep quality on this link.

PARTICIPANTS

A total of 186 graduate students from the United States were collected using an online data acquisition platform. Graduate study areas represented a wide range of subjects.

METHODS

Participants completed questionnaires about problematic phone use, sleep quality, and both anxiety and depressive symptoms. Phone use was further broken down into time spent on specific phone applications.

RESULTS

Analyses revealed significant indirect effects from problematic phone use to both depression and anxiety through diminished sleep quality. Effects were stronger for individuals who spent higher amounts of time on social media applications.

CONCLUSIONS

Findings suggest that U.S. graduate students are particularly prone to the negative effects of problematic phone use. Implications for interventions in graduate programs are discussed.

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

INTRODUCTION

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Path analysis of influencing factors for maternal antenatal depression in the third trimester

Maternal antenatal depression (AD) is a nonpsychotic depressive episode during pregnancy that can harm both the pregnant woman and the fetus. This study aimed to investigate the intrinsic interrelationships between AD and its influencing factors by constructing a path model. This survey-based cross-sectional study included 1071 pregnant women who underwent pregnancy examinations in three hospitals in Nantong City, China, between February and June 2023. General information and information regarding maternal AD, pregnancy stress, prenatal anxiety, social support, marital satisfaction, sleep quality, and resilience were collected. Multiple linear regression analysis using SPSS 25.0 was employed to determine the factors influencing pregnancy depression, and Amos25.0 was used to construct a structural equation model. AD incidence was 19.4% (208/1071). The independent risk factors affecting AD in pregnant women have been integrated into the established path analysis model. The model demonstrated a good fit (χ2/DF = 1.238, comparative fit index = 0.999, goodness-of-fit index = 0.998, normed fit index = 0.996, adjusted goodness-of-fit index = 0.990, incremental fit index = 0.999, and root mean square error of approximation = 0.015). While prenatal anxiety (0.230) and hyperthyroidism (0.048) only had direct effects on AD, mental resilience was the biggest factor affecting AD, followed by pregnancy stress, marital satisfaction, prenatal anxiety, sleep quality, social support, and hyperthyroidism. Improved mental resilience, social support, sleep quality, and marital satisfaction; reduced pregnancy stress and prenatal anxiety; and effective hyperthyroidism treatment might reduce AD. This study underscored the significance of delivering actionable strategies and tangible assistance to pregnant women to reduce AD.

Fear of childbirth and sleep quality among pregnant women: a generalized additive model and moderated mediation analysis

OBJECTIVES

This study aims to examine the associations among fear of childbirth, psychological distress, resilience, and sleep quality among Chinese pregnant women.

METHODS

A cross-sectional survey was carried out between January 2022 to March 2022 among pregnant women who met the inclusion criteria and sought healthcare services at The First Affiliated Hospital of Guangzhou University of Chinese Medicine in Guangdong Province, Southern China. Data was collected using a structured questionnaire that included sociodemographic characteristics, childbirth attitudes questionnaires (CAQ), hospital anxiety and depression scale (HADS), Connor-Davidson resilience scale (CD-RISC), and Pittsburgh sleep quality index (PSQI). A generalized additive model and moderated mediation analysis were employed for data analysis.

RESULTS

A non-linear and negative association between fear of childbirth and sleep quality was found in the second trimester and antenatal period. Psychological distress significantly mediated the relationship between fear of childbirth and sleep quality (first trimester: β = 0.044, 95%CI:0.022-0.071; second trimester: β = 0.029, 95%CI:0.009-0.056; third trimester: β = 0.064, 95%CI:0.046-0.088; antenatal period: β = 0.050, 95%CI:0.037-0.063). The moderating role of resilience between fear of childbirth and sleep quality was significant (second trimester: β=-0.006, 95%CI:-0.012-0.001, P = 0.025; antenatal period: β=-0.004, 95%CI:-0.007--0.001, P = 0.014), as well as between fear of childbirth and psychological distress (first trimester: β=-0.016, 95%CI:-0.026--0.005, P = 0.004; antenatal period: β=-0.005, 95%CI:-0.009--0.001, P = 0.014).

CONCLUSIONS

Fear of childbirth, psychological distress, and resilience are three important factors affecting sleep quality in Chinese pregnant women.

Postpartum stress in the first 6 months after delivery: a longitudinal study in Nantong, China

OBJECTIVES

The objective is to to explore the longitudinal change trajectories of postpartum stress and its related factors.

DESIGN

A longitudinal study with follow-ups from 42 days to 6 months after delivery.

SETTINGS AND PARTICIPANTS

A total of 406 postpartum women were recruited at baseline (42 days after delivery) from 6 hospitals in Nantong, Jiangsu Province, China, and followed up at 3 and 6 months. After the follow-ups, 358 postpartum women were retained for further analysis.

METHODS

Postpartum stress was evaluated using the Maternal Postpartum Stress Scale (MPSS) at baseline (42 days) and 3 and 6 months after delivery. MPSS has three dimensions, such as: personal needs and fatigue, infant nurturing and body changes and sexuality. Postpartum depression and anxiety were measured using the Edinburgh Postnatal Depression Scale and the short-form Depression, Anxiety and Stress Scale, respectively. The MPSS scores were normalised using a rank-based inverse normal transformation.

RESULTS

Postpartum stress decreased significantly after 3 months, and postpartum stress reduced further after 6 months. Additionally, the scores for all three dimensions reduced after 6 months, while infant nurturing reduced after both 3 and 6 months. Older age (β=0.028, p=0.049), higher education level (β=0.153, p=0.005) and higher body mass index (BMI) (β=0.027, p=0.008) of the postpartum women were significantly associated with higher postpartum stress levels in corresponding dimensions at 42 days. Older age was also associated with higher postpartum stress at 3 (β=0.030, p=0.033) and 6 months (β=0.050, p<0.001) in the dimension of personal needs and fatigue. Postpartum stress levels were significantly higher in women with depression or anxiety symptoms.

CONCLUSIONS

Postpartum stress continuously declined from 42 days to 6 months after delivery. Postpartum women with older age, higher education levels, higher BMI and anxiety or depression symptoms should be the target population for early intervention.

Postpartum Insomnia and Poor Sleep Quality Are Longitudinally Predictive of Postpartum Mood Symptoms

OBJECTIVE

Insomnia and poor sleep quality are frequently reported by perinatal women. Both are noted to increase the risk of postpartum depression, with less known about their association with postpartum anxiety. This study sought to assess whether perinatal sleep disturbances predicted depression and anxiety symptoms across each month of the first 6 months postpartum in women with a history of depression.

METHODS

Pregnant women without active depression at enrollment ( N = 159), 18 to 45 years of age, were recruited. In late pregnancy and for up to 6 months postpartum, women completed monthly online questionnaires including the Insomnia Symptom Questionnaire, Pittsburgh Sleep Quality Index, Edinburgh Postnatal Depression Scale, and Generalized Anxiety Disorder-7. Repeated-measures multilevel models were used to predict depression and anxiety across the postpartum.

RESULTS

The prevalence of insomnia was 20.4%, and the prevalence of poor sleep quality was 67.8% across the first 6 months postpartum. Postpartum insomnia and poor sleep quality at the between-subject and within-subject levels tended to uniquely predict greater depressive and anxiety symptoms, even after controlling for demographic characteristics, prenatal insomnia, and prenatal poor sleep quality.

CONCLUSIONS

Most of the women in our sample had sleep disturbances across the perinatal period. Consistent with the extant literature, postpartum insomnia and poor sleep quality, but not prenatal measures of sleep, longitudinally predicted greater postpartum depression and anxiety symptoms. The chronic sleep deprivation of insomnia and the subjective experience of poor sleep quality are uniquely relevant risks of postpartum mood disorders. Evaluation and mitigation of perinatal sleep disturbance are ideal opportunities to reduce postpartum mood disorders and subsequent health outcomes.

Sleep, light exposure at night, and psychological wellbeing during pregnancy

BACKGROUND

Psychological wellbeing during pregnancy is imperative for optimal maternal outcomes. The present study aimed to determine the association between sleep quality, light exposure at night, and psychological wellbeing in the 2nd and 3rd trimesters of pregnancy.

METHODS

This prospective study was conducted in 9 randomly selected government maternity clinics in Kuala Lumpur, Malaysia. Healthy women aged 20-48 years old with single pregnancy were recruited using convenience sampling (n = 169). Sleep quality, light exposure at night, and psychological wellbeing were self-reported using the Pittsburgh Sleep Quality Index (PSQI), Harvard Light Exposure Assessment (H-LEA), and Depression, Anxiety, and Stress Scale (DASS-21) in the 2nd trimester and followed-up at the 3rd trimester.

RESULTS

During the 2nd and 3rd trimesters of pregnancy, mild to severe symptoms of stress (10.7 and 11.3%), anxiety (42 and 44.3%), and depression (9.6 and 16.6%) were observed among the participants. Adjusted multiple linear regression revealed that poor sleep quality and higher light exposure at night were attributed to greater stress and depression symptoms in the 3rd trimester. Higher lux level exposed from 10 pm to < 1 am was associated with increased stress (β = 0.212, p = 0.037) and depression (β = 0.228, p = 0.024). Only poor sleep quality was observed to adversely affect anxiety (β = 0.243, p = 0.002) and depression levels (β = 0.259, p = 0.001) in the 2nd trimester.

CONCLUSIONS

Present study provided preliminary findings on the association between sleep quality, light at night, and psychological wellbeing of pregnant women. As a recommendation, future research could investigate whether public health interventions aimed at decreasing artificial light at night can benefit sleep quality and the psychological health of pregnant women.

Preconception sleep quality moderates the association between preconception hair cortisol levels and mental health in pregnant women

BACKGROUND

Poor sleep quality may elevate cortisol levels and affect prenatal mental health through altered HPA axis functioning. This study aims to examine whether subjective sleep quality during preconception moderates the association between preconception hair cortisol levels and mental health from preconception to pregnancy trimesters.

METHODS

Women from a prospective cohort study completed the Pittsburgh Sleep Quality Index (PSQI), the Edinburgh Postnatal Depression Scale (EPDS), and the State-Trait Anxiety Inventory (STAI) questionnaires during preconception (T0) and at each pregnancy trimesters (T1, T2, and T3). We analyzed 266 of these women who conceived and had fully completed measures at preconception for hair cortisol, sleep quality and either EPDS or STAI-state. Changes in EPDS and STAI-state scores were derived (i.e., T1-T0, T2-T0, T3-T0). Johnson-Neyman technique identified PSQI scores with significant moderation of cortisol on mental health.

RESULTS

After adjusting for potential covariates, there was a significant positive correlation between preconception hair cortisol levels and depressive symptom at the second trimester (r_s (144) = 0.22, p = 0.008), but not the first and third trimesters (all p_s > 0.05). The positive association between preconception hair cortisol and change in depressive symptoms between third trimester and preconception was significant only among women with poor preconception sleep quality (PSQI ≥ 7).

LIMITATIONS

Sleep quality and prenatal mood were derived from self-reported questionnaires, which may be more susceptible to bias.

CONCLUSIONS

The positive association between preconception hair cortisol and change in prenatal depressive symptoms is significant among women who reported poor sleep quality during preconception. Improving preconception sleep quality can potentially mitigate the association between preconception hair cortisol and depressive symptoms during pregnancy.

A Systematic Review of Studies Examining Associations between Sleep Characteristics with Dietary Intake and Eating Behaviors during Pregnancy

Little is known about the association between sleep and diet in pregnancy, despite both behaviors impacting maternal and fetal health. We aimed to perform a systematic review of the available literature on associations between sleep characteristics and dietary intake and eating behaviors during pregnancy, reporting on both maternal and fetal outcomes. We followed the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and conducted our search on 27 May 2021 in the PubMed, EMBASE, and CINAHL databases. The search yielded 6785 unique articles, of which 25 met our eligibility criteria. The studies, mostly observational, published 1993-2021, include data from 168,665 participants. Studies included examinations of associations between various maternal sleep measures with a diverse set of diet-related measures, including energy or nutrient intake (N = 12), dietary patterns (N = 9), and eating behaviors (N = 11). Associations of maternal exposures with fetal/infant outcomes were also examined (N = 5). We observed considerable heterogeneity across studies precluding our ability to perform a meta-analysis or form strong conclusions; however, several studies did report significant findings. Results from this systematic review demonstrate the need for consistency in methods across studies to better understand relationships between diet and sleep characteristics during pregnancy.

Sleep quality, antepartum depression and self-harm thoughts in pregnant Chinese women

BACKGROUND

Previous literature has shown a significant association between sleep and depression, whereas limited studies have examined the association of sleep quality with self-harm ideation in pregnant Chinese women.

METHODS

A total of 898 pregnant women (first to third trimester) from the Young Investigation Study were enrolled in this study. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to assess sleep quality. Antepartum depression and self-harm ideation were evaluated using the Edinburgh Postnatal Depression Scale (EPDS). Multivariable logistic regression models were used to calculate odds ratios (ORs) and 95 % confidence intervals (CIs).

RESULTS

In this sample, the prevalence of poor sleep quality and antepartum depression was 44.3 % and 24.4 %, respectively. Furthermore, 12.8 % of women were considered as having self-harm ideation. Individuals in different trimesters reported similar prevalence of self-harm thoughts. Women were more likely to report self-harm thoughts if they were categorized as poor sleep quality or antepartum depression. And women with moderate or severe depression had higher risk of self-harm ideation and poor sleep, compared with those with mild depression. Although sleep quality indirectly influenced self-harm thoughts through the mediation effect of depressive symptoms, poor sleep quality was still associated with a 2.62-fold increased odds of self-harm ideation among women in the second trimester (OR = 2.62; 95 % CI: 1.11-6.21), after adjustment for depression.

LIMITATIONS

Causality cannot be inferred. Results should be generalized carefully. Depression was evaluated by a screening tool rather than clinical interviews.

CONCLUSIONS

The prevalence of poor sleep quality, depressive symptoms and self-harm ideation in pregnant Chinese women were noteworthy and high. Besides, a direct effect was also found between sleep quality and self-harm thoughts among women in the second trimester. Our findings suggest the need to identify and intervene when sleep disturbances are observed in women during pregnancy.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Investigating causal relations between sleep duration and risks of adverse pregnancy and perinatal outcomes: linear and nonlinear Mendelian randomization analyses

BACKGROUND

Observational studies have reported maternal short/long sleep duration to be associated with adverse pregnancy and perinatal outcomes. However, it remains unclear whether there are nonlinear causal effects. Our aim was to use Mendelian randomization (MR) and multivariable regression to examine nonlinear effects of sleep duration on stillbirth (MR only), miscarriage (MR only), gestational diabetes, hypertensive disorders of pregnancy, perinatal depression, preterm birth and low/high offspring birthweight.

METHODS

We used data from European women in UK Biobank (N=176,897), FinnGen (N=~123,579), Avon Longitudinal Study of Parents and Children (N=6826), Born in Bradford (N=2940) and Norwegian Mother, Father and Child Cohort Study (MoBa, N=14,584). We used 78 previously identified genetic variants as instruments for sleep duration and investigated its effects using two-sample, and one-sample nonlinear (UK Biobank only), MR. We compared MR findings with multivariable regression in MoBa (N=76,669), where maternal sleep duration was measured at 30 weeks.

RESULTS

In UK Biobank, MR provided evidence of nonlinear effects of sleep duration on stillbirth, perinatal depression and low offspring birthweight. Shorter and longer duration increased stillbirth and low offspring birthweight; shorter duration increased perinatal depression. For example, longer sleep duration was related to lower risk of low offspring birthweight (odds ratio 0.79 per 1 h/day (95% confidence interval: 0.67, 0.93)) in the shortest duration group and higher risk (odds ratio 1.40 (95% confidence interval: 1.06, 1.84)) in the longest duration group, suggesting shorter and longer duration increased the risk. These were supported by the lack of evidence of a linear effect of sleep duration on any outcome using two-sample MR. In multivariable regression, risks of all outcomes were higher in the women reporting <5 and ≥10 h/day sleep compared with the reference category of 8-9 h/day, despite some wide confidence intervals. Nonlinear models fitted the data better than linear models for most outcomes (likelihood ratio P-value=0.02 to 3.2×10-52), except for gestational diabetes.

CONCLUSIONS

Our results show shorter and longer sleep duration potentially causing higher risks of stillbirth, perinatal depression and low offspring birthweight. Larger studies with more cases are needed to detect potential nonlinear effects on hypertensive disorders of pregnancy, preterm birth and high offspring birthweight.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Cross-sectional associations between mental health indicators and social vulnerability, with physical activity, sedentary behaviour and sleep in urban African young women

BACKGROUND

Relationships between mental health and multiple health behaviours have not been explored in young South African women experiencing social constraints. The aim of this study was to identify associations between mental health indicators and risk factors with physical activity, sedentary behaviour, and sleep, amongst young women living in Soweto, a predominantly low-income, urban South African setting.

METHODS

For this cross-sectional study, baseline measurements for participants (n = 1719, 18.0-25.9 years old) recruited for the Healthy Life Trajectories Initiative were used including: physical activity, sedentary behaviour (sitting, screen and television time), sleep (duration and quality), depression and anxiety indicators, emotional health, adverse childhood experiences, alcohol-use risk; social vulnerability, self-efficacy, and social support.

RESULTS

Multiple regression analyses showed that depression (β = 0.161, p < 0.001), anxiety (β = 0.126, p = 0.001), adverse childhood experiences (β = 0.076, p = 0.014), and alcohol-use risk (β = 0.089, p = 0.002) were associated with poor quality sleep. Alcohol-use risk was associated with more screen time (β = 0.105, p < 0.001) and television time (β = 0.075, p < 0.016). Social vulnerability was associated with lower sitting time (β = - 0.187, p < 0001) and screen time (β = - 0.014, p < 0.001). Higher self-efficacy was associated with more moderate- to vigorous-intensity physical activity (β = 0.07, p = 0.036), better-quality sleep (β = - 0.069, p = 0.020) and less television time (β = - 0.079, p = 0.012). Having no family support was associated with more sitting time (β = 0.075, p = 0.022). Binomial logistic regression analyses supported these findings regarding sleep quality, with anxiety and depression risk doubling the risk of poor-quality sleep (OR = 2.425, p < 0.001, OR = 2.036, p = 0.003 respectively).

CONCLUSIONS

These findings contribute to our understanding of how mental health indicators and risk factors can be barriers to health behaviours of young women in Soweto, and that self-efficacy and social support can be protective for certain of these behaviours for these women. Our results highlight the uniqueness of this setting regarding associations between mental health and behaviours associated with non-communicable diseases risk.

Associations of physical activity, sedentary behavior and sleep duration with anxiety symptoms during pregnancy: An isotemporal substitution model

BACKGROUND

Studies have evidenced the close relationships between movement behavior [physical activity (PA), sedentary behavior (SB), and sleep duration)] and anxiety. Capturing 24 h of these maternal movement behaviors during pregnancy is necessary to understand their relationships.

METHODS

In a cross-sectional study design, a total of 946 prenatal women filled Pregnancy Physical Activity Questionnaire-Chinese version, Pregnancy-Related Anxiety Questionnaire, and 7-item Generalised Anxiety Disorders scale between May 2020 and April 2021. An Isotemporal Substitution Model was used to estimate the per-hour effects of replacing one behavior.

RESULTS

Replacing moderate-to-vigorous PA(MVPA), light PA (LPA), or SB with sleep could reduce both general and pregnancy-specific anxiety (LPA, B = -0.61∼-0.37, P ≤ 0.01; MVPA, B = -0.35, P = 0.03; SB, B = -0.45∼-0.34, P ≤ 0.01). Replacing SB with MVPA could reduce pregnancy-specific anxiety in the group without adequate sleep duration (SB, B = -0.62,95%CI = -1.13∼-0.17). As for the types of PA, replacing household, occupational or inactivity PA with transportation PA or sleep duration reduced general anxiety (household PA: B = -0.51, 95%CI = -0.73∼-0.29, P < 0.001; occupational PA: B = -0.48, 95%CI = -0.69∼-0.27, P < 0.001; inactivity: B = -0.45, 95%CI = -0.68∼-0.24, P < 0.001). Replacing household PA, occupational PA, or inactivity with transport PA was associated with improved general anxiety (household: B = -0.33, 95%CI = -0.64∼-0.03, P = 0.29; occupational PA: B = -0.31, 95%CI = -0.62∼-0.003, P = 0.35; inactivity: B = -0.28, 95%CI = -0.56∼-0.01, P = 0.33).

LIMITATIONS

A cross-sectional study design and self-reported measurement limits the reliability of study.

CONCLUSION

Longer time spent in sleep and MVPA may mitigate the negative effects of SB on anxiety.

The Significance and Limitations of Monitoring Sleep during Pregnancy

Sleep patterns often change during pregnancy and postpartum. However, if severe and persistent, these changes can depict a risk factor for significant health complications. It is thus essential to identify and understand changes in women's sleeping pattern over the course of pregnancy and postpartum, to offer an appropriate and timely intervention if necessary. In this paper, we discuss sleep disturbances during pregnancy and their association with pregnancy complications. We also review the state-of-the-art digital devices for real-time sleep assessment, and highlight their strengths and limitations.Clinical Relevance-This review highlights an importance of an individualized holistic pregnancy care program which engages both the healthcare professionals and the obstetric population, together with an educational module to increase the user awareness on the importance of sleep disturbances and their consequences during and after pregnancy.

Sleep, evening light exposure and perceived stress in healthy nulliparous women in the third trimester of pregnancy

Objective

Sleep disturbances are common in pregnancy, and the prevalence increases during the third trimester. The aim of the present study was to assess sleep patterns, sleep behavior and prevalence of insomnia in pregnant women in the third trimester, by comparing them to a group of non-pregnant women. Further, how perceived stress and evening light exposure were linked to sleep characteristics among the pregnant women were examined.

Methods

A total of 61 healthy nulliparous pregnant women in beginning of the third trimester (recruited from 2017 to 2019), and 69 non-pregnant women (recruited in 2018) were included. Sleep was monitored by actigraphy, sleep diaries and the Bergen Insomnia Scale. The stress scales used were the Relationship Satisfaction Scale, the Perceived Stress Scale and the Pre-Sleep Arousal Scale. Total white light exposure three hours prior to bedtime were also assessed.

Results

The prevalence of insomnia among the pregnant women was 38%, with a mean score on the Bergen Insomnia Scale of 11.2 (SD = 7.5). The corresponding figures in the comparing group was 51% and 12.3 (SD = 7.7). The pregnant women reported lower sleep efficiency (mean difference 3.8; 95% CI = 0.3, 7.3), longer total sleep time derived from actigraphy (mean difference 59.0 minutes; 95% CI = 23.8, 94.2) and higher exposure to evening light (mean difference 0.7; 95% CI = 0.3, 1.2), compared to the non-pregnant group. The evening light exposure was inversely associated with total sleep time derived from actigraphy (B = -8.1; 95% CI = -14.7, -1.5), and an earlier midpoint of sleep (B = -10.3, 95% CI = -14.7, -5.9). Perceived stressors were unrelated to self-reported and actigraphy assessed sleep.

Conclusion

In healthy pregnant participants sleep in the third trimester was preserved quite well. Even so, the data suggest that evening light exposure was related to shorter sleep duration among pregnant women.