Sleep Disorder Diagnosis During Pregnancy and Risk of Preterm Birth

Association between sleep during pregnancy and birth outcomes: a prospective cohort study

OBJECTIVE

A prospective cohort study was conducted to investigate sleep status during the early and second trimester of pregnancy in pregnant women on adverse birth outcome, such as preterm birth, low birth weight and small for gestational age.

METHODS

Multivariable logistic regression models were used to analyze the association of sleep status during the early and second trimester of pregnancy with adverse birth outcomes and generated the odds ratio and 95% confidence interval.

RESULTS

5,418 pregnant women were included in the analysis. In the multivariable model, compared with 7.1-8 h/night, sleep ≤ 7 h/night during second trimester increases the risk of preterm birth (OR: 1.43, 95% CI: 1.12,1.85), and the risk of preterm birth was decreased in pregnant women who slept > 9 h/night (OR: 0.79, 95% CI: 0.53,0.93). Sleep quality, and sleep changes in the early and second trimesters, and sleep duration in the early pregnancy were not statistically associated with preterm birth, low birth weight and small for gestational age.

CONCLUSIONS

Short sleep duration during pregnancy is associated with a higher risk of preterm birth and longer sleep duration at night is associated with a lower risk of preterm birth, but the latter needs further verification. Sleep status during pregnancy was not associated with low birth weight and small for gestational age. In order to reduce risk of adverse birth outcomes, sleep problems in pregnant women should be strengthened during pregnancy care.

CLINICAL TRIAL NUMBER

Not applicable.

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.

Association between sleep disorder and depression in stroke in the National Health and Nutrition Examination Surveys (NHANES) 2005 to 2014

BACKGROUND

To investigate the association between sleep disorder and depression in stroke population using data from the National Health and Nutrition Examination Surveys (NHANES) conducted between 2005 and 2014.

METHODS

Participants included stroke population who reported on sleep disorder and completed the Patient Health Questionnaire-9 (PHQ-9) to assess depressive symptom. Sleep disorder was self-reported and categorized dichotomously. Multivariate logistic regression, subgroup analysis, receiver operating characteristic curve (ROC) and restricted cubic spline (RCS) were used to explore the association between sleep disorder and depression.

RESULTS

The final sample included 566 stroke survivors (weighted n = 3,326,625). Multivariate logistic regression analysis confirmed that sleep disorder was independently associated with an increased risk of depression even after adjusting for potential confounders (OR = 2.616, 95 % CI: 2.561 to 2.599, P < 0.0001). Subgroup analysis indicated that this association was particularly strong among female stroke population (OR = 5.515). Sleep disorder as a significant predictor of depression, while the relationship between sleep time and depression is characterized by non-linearity.

CONCLUSIONS

Sleep disorder is significantly associated with an increased risk of depression in stroke. This relationship remains robust across various sociodemographic and lifestyle factors, highlighting the need for integrated interventions targeting both sleep and mood disturbances in stroke care.

Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing

OBJECTIVES

Alzheimer's disease (AD) is the most common form of dementia in the United States. Sleep is one of the lifestyle-related factors that has been shown critical for optimal cognitive function in old age. However, there is a lack of research studying the association between sleep and AD incidence. A major bottleneck for conducting such research is that the traditional way to acquire sleep information is time-consuming, inefficient, non-scalable, and limited to patients' subjective experience. We aim to automate the extraction of specific sleep-related patterns, such as snoring, napping, poor sleep quality, daytime sleepiness, night wakings, other sleep problems, and sleep duration, from clinical notes of AD patients. These sleep patterns are hypothesized to play a role in the incidence of AD, providing insight into the relationship between sleep and AD onset and progression.

MATERIALS AND METHODS

A gold standard dataset is created from manual annotation of 570 randomly sampled clinical note documents from the adSLEEP, a corpus of 192 000 de-identified clinical notes of 7266 AD patients retrieved from the University of Pittsburgh Medical Center (UPMC). We developed a rule-based natural language processing (NLP) algorithm, machine learning models, and large language model (LLM)-based NLP algorithms to automate the extraction of sleep-related concepts, including snoring, napping, sleep problem, bad sleep quality, daytime sleepiness, night wakings, and sleep duration, from the gold standard dataset.

RESULTS

The annotated dataset of 482 patients comprised a predominantly White (89.2%), older adult population with an average age of 84.7 years, where females represented 64.1%, and a vast majority were non-Hispanic or Latino (94.6%). Rule-based NLP algorithm achieved the best performance of F1 across all sleep-related concepts. In terms of positive predictive value (PPV), the rule-based NLP algorithm achieved the highest PPV scores for daytime sleepiness (1.00) and sleep duration (1.00), while the machine learning models had the highest PPV for napping (0.95) and bad sleep quality (0.86), and LLAMA2 with finetuning had the highest PPV for night wakings (0.93) and sleep problem (0.89).

DISCUSSION

Although sleep information is infrequently documented in the clinical notes, the proposed rule-based NLP algorithm and LLM-based NLP algorithms still achieved promising results. In comparison, the machine learning-based approaches did not achieve good results, which is due to the small size of sleep information in the training data.

CONCLUSION

The results show that the rule-based NLP algorithm consistently achieved the best performance for all sleep concepts. This study focused on the clinical notes of patients with AD but could be extended to general sleep information extraction for other diseases.

Risk and Protective Factors for Preterm Birth Among Racial, Ethnic, and Socioeconomic Groups in California

Importance

Preterm birth (PTB) (gestational age <37 weeks) is a major cause of infant mortality and morbidity in the US and is marked by racial and ethnic and socioeconomic inequities. Further research is needed to elucidate the association of risk and protective factors with trends in PTB rates and with related inequities.

Objective

To describe the association of PTB rates with inequities as well as related risk and protective factors over the past decade in a US population-based cohort.

Design, Setting, and Participants

This retrospective cohort study of singleton live births in California from January 1, 2011, to December 31, 2022, was conducted using vital statistics records and hospital records. The cohort included births with a gestational age of 22 to 44 weeks.

Main Outcomes and Measures

Preterm birth rates by racial and ethnic group and by public and nonpublic insurance (considered as a proxy for socioeconomic status) were studied across years. Log-linear regression (relative risks with 95% CIs) was used to evaluate risk and protective factors within groups. Associations of PTB rates with risk and protective factors were assessed.

Results

This study included 5 431 018 singleton live births to individuals who identified as American Indian or Alaska Native (0.3%), Asian (14.2%), Black (4.9%), Hispanic (47.8%), or White (27.0%). A total of 43.1% of births were to individuals with public health insurance. From 2011 to 2022, the overall PTB rate increased from 6.8% to 7.5% (change [SE], 10.6% [0.6%]; z score of 18.5; P < .001). Differences in PTB rates and associated changes were observed for racial and ethnic groups and insurance groups. For example, 2022 PTB rates ranged from 5.8% among White individuals with nonpublic insurance to 11.3% among Black individuals with public health insurance. From 2011 to 2022, PTB rates decreased from 9.1% to 8.8% (change [SE], -3.5% [4.2]; z score of -0.8; P = .42) among Black individuals with nonpublic insurance, whereas they increased from 6.4% to 9.5% (change [SE], 49.8% [16.0%]; z score of 3.1; P = .002) among American Indian or Alaska Native individuals with nonpublic insurance. Increases in some risk factors (eg, preexisting diabetes, sexually transmitted infections, mental health conditions) were observed in most groups, and decreases in some protective factors (eg, participation in the California Women, Infants, and Children program) (P for trend < .001 from 2011 to 2021) were observed mostly in low-income groups.

Conclusions and Relevance

In this cohort study of singleton live births in California, PTB rates increased in many groups. Persistent racial and ethnic and socioeconomic inequities were also observed. Changes in risk and protective factors provided clues to patterns of PTB. These data point to an urgent need to address factors associated with PTB at both the individual and population levels.

Feasibility and Acceptability of Mindfulness-based Stress Reduction and Prenatal Sleep Classes for Poor Prenatal Sleep Quality: Pilot Randomized Controlled Trial

OBJECTIVES

The main objectives of the current paper were to examine the feasibility, acceptability, and adherence of a remotely delivered intervention consisting of mindfulness-based stress reduction plus prenatal sleep classes (MBSR+PS) compared with treatment as usual (TAU).

METHOD

In this pilot randomized controlled trial, 52 pregnant women with poor sleep quality were randomized to MBSR+PS or TAU. MBSR was delivered through eight weekly 2.5-hour sessions, and PS was delivered through eight weekly 30-minute sessions. PS content drew material from cognitive behavioral therapy for insomnia tailored for the perinatal period and from a mindfulness- and acceptance-based lens. Participants completed endpoint measures 10-12 weeks after randomization.

RESULTS

We surpassed all acceptability targets, including the percentage of eligible participants willing to be randomized (96%), percentage of participants who initiated treatment (88%), and satisfaction scores (Client Satisfaction Questionnaire-8 score M = 28.04, SD = 3.6). We surpassed all feasibility targets, including our enrollment target, retention rate (92%), and measure completion (96%). Finally, we surpassed adherence targets, including MBSR and PS session attendance (≥80%). Though sleep outcomes were exploratory, increases in sleep efficiency were greater in the MBSR+PS group relative to TAU (SMD=.68).

CONCLUSIONS

Patient-reported poor sleep quality during pregnancy has high public health significance because it is common, consequential, and under-treated. The current feasibility and acceptability data for using remotely delivered MBSR and PS to improve prenatal sleep quality are encouraging and warranting future research that is sufficiently powered and designed to provide efficacy data. In addition, exploratory sleep outcomes offer preliminary evidence that this sleep program may improve sleep efficiency during pregnancy.

Validation of a sleep-disordered breathing screening questionnaire during pregnancy and comparison between mothers and bedpartners prediction of risk

BACKGROUND

Sleep Disorder Breathing (SDB) in pregnant patients ranges from 3 to 27% and varies depending on gestational age and method used to diagnose. SDB increases the risk of advanced pregnancy complications such as gestational diabetes mellitus, pregnancy-induced hypertension, and preeclampsia. Screening and diagnosis of SDB during pregnancy remains a challenge, with existing screening tools underperforming during pregnancy. This study aimed to validate a previously developed model for predicting SDB during late pregnancy and compare the predictive value of bedpartner responses.

METHODS

Ninety-six women in the third trimester of pregnancy underwent polysomnography and completed the Berlin Questionnaire (BQ), with 81 bedpartners completing the BQ about their pregnant partner. A subset of BQ items (snoring volume and tiredness upon awakening) along with BMI > 32 kg/m2 was utilised to calculate the Wilson Optimized Model (WOM), which demonstrated strong predictive properties in development.

RESULTS

SDB (RDI/hr ≥ 5) was detected in 43.8% of women. BQ identified 72% of pregnant mothers as high risk for SDB (Sensitivity = 83%, Specificity = 37%), compared to 29% of mothers identified by the WOM (Sensitivity = 45%, Specificity = 83%). At RDI of ≥ 15, the WOM correctly classified more women according to SDB risk than the BQ (76.0% vs. 41.7% cases correct, X2(1) = 23.42, p < .001), with no difference at RDI ≥ 5. Bedpartners were more likely to report high risk for SDB on the WOM than pregnant women themselves (38.3% vs. 28.4%), however predictive ability was not improved by bedpartner input (RDI ≥ 5 bedpartner AUC = 0.69 v mother AUC = 0.73).

CONCLUSION

BQ largely overestimates the prevalence of SDB in pregnancy compared to the WOM which underestimates. Utilising bedpartner responses didn't improve screening for SDB in late pregnancy. More work is needed to develop a pregnancy-specific tool for quick and accurate screening for SDB.

Obstructive Sleep Apnea in Pregnancy: A Comprehensive Review of Maternal and Fetal Implications

Obstructive sleep apnea (OSA) is a prevalent yet underdiagnosed condition in pregnancy, associated with various maternal and fetal complications. This review synthesizes the current evidence on the epidemiology, pathophysiology, and neurological consequences of OSA in pregnancy, along with the potential management strategies. Articles were sourced from the PubMed, EMBASE, and Cochrane databases until 2023. Our comprehensive review highlights that the incidence of OSA increases during pregnancy due to physiological changes such as weight gain and hormonal fluctuations. OSA in pregnancy is linked with gestational hypertension, pre-eclampsia, gestational diabetes, and potential adverse fetal outcomes such as intrauterine growth restriction and preterm birth. Continuous positive airway pressure (CPAP) therapy remains the most effective management strategy for pregnant women with OSA. However, adherence to CPAP therapy is often suboptimal. This comprehensive review underscores the importance of the early recognition, timely diagnosis, and effective management of OSA in pregnancy to improve both maternal and fetal outcomes. Future research should focus on enhancing screening strategies and improving adherence to CPAP therapy in this population.

A multilevel developmental psychopathology model of childbirth and the perinatal transition

Despite recent applications of a developmental psychopathology perspective to the perinatal period, these conceptualizations have largely ignored the role that childbirth plays in the perinatal transition. Thus, we present a conceptual model of childbirth as a bridge between prenatal and postnatal health. We argue that biopsychosocial factors during pregnancy influence postnatal health trajectories both directly and indirectly through childbirth experiences, and we focus our review on those indirect effects. In order to frame our model within a developmental psychopathology lens, we first describe "typical" biopsychosocial aspects of pregnancy and childbirth. Then, we explore ways in which these processes may deviate from the norm to result in adverse or traumatic childbirth experiences. We briefly describe early postnatal health trajectories that may follow from these birth experiences, including those which are adaptive despite traumatic childbirth, and we conclude with implications for research and clinical practice. We intend for our model to illuminate the importance of including childbirth in multilevel perinatal research. This advancement is critical for reducing perinatal health disparities and promoting health and well-being among birthing parents and their children.

A Scoping Review of Preterm Birth Risk Factors

Preterm birth is a major cause of neonatal morbidity and mortality, but its etiology and risk factors are poorly understood. We undertook a scoping review to illustrate the breadth of risk factors for preterm birth that have been reported in the literature. We conducted a search in the PubMed database for articles published in the previous 5 years. We determined eligibility for this scoping review by screening titles and abstracts, followed by full-text review. We extracted odds ratios and other measures of association for each identified risk factor in the articles. A total of 2,509 unique articles were identified from the search, of which 314 were eligible for inclusion in our final analyses. We summarized risk factors and their relative impacts in the following categories: Activity, Psychological, Medical History, Toxicology, Genetics, and Vaginal Microbiome. Many risk factors for preterm birth have been reported. It is challenging to synthesize findings given the multitude of isolated risk factors that have been studied, inconsistent definitions of risk factors and outcomes, and use of different covariates in analyses. Novel methods of analyzing large datasets may promote a more comprehensive understanding of the etiology of preterm birth and ability to predict the outcome. KEY POINTS: · Preterm birth is difficult to predict.. · Preterm birth has many diverse risk factors.. · Holistic approaches may yield new insights..

Prevalence of Sleep Disorders and the Effect of Sleep Health Education on Sleep Quality in Pregnant Women With Sleep Disorders

Objective

Sleep quality affects pregnant women's health and quality of life. The aims of the study were to investigate the prevalence of sleep disorders and the effect of sleep health education on sleep quality in pregnant women with sleep disorders.

Methods

To examine the frequency of sleep disorders among pregnant women, a cross-sectional study was conducted with an initial enrollment of 370 participants. Subsequently, 162 pregnant women were recruited for a pretest-posttest quasi-experimental design study. The intervention group (n = 82) performed sleep health education for four weeks and the control group (n = 80) received standard care. Sleep quality was assessed with Pittsburgh Sleep Quality.

Results

The prevalence of sleep disorder was 61.9 percent (CI 95% 56.85-66.69). It was determined that health education improved some sleep quality subscales including subjective sleep quality, sleep latency, sleep duration and habitual sleep efficiency, and sleep disturbances, daytime dysfunction, and global sleep quality. The difference was still significant after adjusting for the PSQI baseline (η2 = .311, P < .001).

Conclusion

These findings provide evidence of a relatively high prevalence of sleep disorders in pregnancy. Therefore, screening for sleep disorders and providing supportive programs and models to improve sleep quality during pregnancy should be considered as part of prenatal care.

Heat Exposure, Preterm Birth, and the Role of Greenness in Australia

Importance

Preterm birth (PTB) is associated with adverse health outcomes. The outcomes of heat exposure during pregnancy and the moderating association of greenness with PTB remain understudied.

Objective

To investigate associations between heat exposure, greenness, and PTB, as well as interactions between these factors.

Design, Setting, and Participants

Included in this cohort study were births occurring in Sydney, New South Wales, Australia, between 2000 and 2020, retrieved from New South Wales Midwives Data Collection. Participants with incomplete or missing data on their residential address or those who resided outside of New South Wales during their pregnancy were excluded. Data were analyzed from March to October 2023.

Exposures

Greenness measured using normalized difference vegetation index (NDVI) and tree cover derived from satellite images. Daily extreme heat and nighttime extreme heat were defined as above the 95th percentile of community- and trimester-specific daily mean temperatures and nighttime temperatures.

Main Outcomes and Measures

Logistic regression models estimated the independent association of extreme heat with PTB, adjusting for individual- and area-level covariates, season of conception, and long-term trend. An interaction term between extreme heat exposure and greenness was included to explore potential modification. With a significant interaction observed, the number of preventable heat-associated PTBs that were associated with greenness was estimated.

Results

A total of 1 225 722 births (median [IQR] age, 39 [38-40] weeks; 631 005 male [51.5%]) were included in the analysis, including 63 144 PTBs (median [IQR] age, 35 [34-36] weeks; 34 822 male [55.1%]). Compared with those without heat exposure, exposure to daily extreme heat and nighttime extreme heat in the third trimester was associated with increased risks of PTB, with an adjusted odds ratio (OR) of 1.61 (95% CI, 1.55-1.67) and 1.51 (95% CI, 1.46-1.56]), respectively (PTB rates: exposed, 4615 of 61 338 [7.5%] vs unexposed, 56 440 of 1 162 295 [4.9%] for daily extreme heat and 4332 of 61 337 [7.1%] vs 56 723 of 1 162 296 [4.9%] for nighttime extreme heat). Disparities in associations between extreme heat exposure and PTB were observed, with lower odds of PTB among pregnant individuals residing in greener areas. The associations between extreme heat exposure and PTB could be mitigated significantly by higher greenness. Improving NDVI and tree cover could reduce daily extreme heat-associated PTB by 13.7% (95% CI, 2.3%-15.1%) and 20.9% (95% CI, 5.8%-31.5%), respectively. For nighttime extreme heat-associated PTB, reductions were 13.0% (0.2%-15.4%) and 17.2% (4.1%-27.0%), respectively.

Conclusions and Relevance

Results of this large birth cohort study suggest that extreme heat exposure was adversely associated with PTB, with greenness playing a moderating role. Increasing greenness levels in residential communities could prevent heat-associated PTBs. These findings emphasize the importance of integrating heat mitigation strategies and improving green space in urban planning and public health interventions.

Efficacy of cognitive behavioral therapy for insomnia in the perinatal period: a meta-analysis of randomized controlled trials

The meta-analysis aims to explore the effect of cognitive behavioral therapy for insomnia (CBT-I) in the perinatal period. Randomized controlled trials (RCTs) assessed the effects of CBT-I in perinatal women with insomnia, published in English, were eligible. Electronic searches were performed using PubMed, Embase (Elsevier), PsycINFO (Ebsco), and Web of Science (Clarivate Analytics). Insomnia Severity Index (ISI) as the primary outcome was used to estimate the pooled effects and durable efficacy of CBT-I. The secondary outcome measures were Edinburgh Postnatal Depression Scale (EPDS) and Pittsburgh Sleep Quality Index (PSQI). Of 46 studies reviewed, seven studies met the inclusion criteria. The meta-analysis indicated significant improvement in insomnia as measured with the ISI (standardized mean difference (SMD) =  - 0.62, 95% confidence intervals (CI) - 0.77, - 0.47, I2 = 28%). At the follow-up time point, the meta-analysis indicated the durable efficacy of CBT-I (SMD = - 0.47, 95% CI - 0.90, - 0.03, I2 = 73%). Definite improvement of CBT-I on EPDS (SMD = -0.31, 95% CI - 0.55, - 0.06, I2 = 33%) and PSQI (SMD = - 0.82, 95% CI - 1.27, - 0.38, I2 = 68%) score change post-intervention were found. In sub-analyses, CBT-I had similar effect sizes, independent of possible modifiers (study population, comparison group, delivery format, etc.). This meta-analysis demonstrates that CBT-I is effective in alleviating insomnia, depression, and sleep quality among perinatal women. It is equally important to find that CBT-I has a durable efficacy on insomnia in the perinatal period. However, it is necessary to include larger samples and conduct rigorous RCTs to further explore this issue.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41105-023-00502-z.

The Mediating Role of Family Functions Between Pregnancy-Related Anxiety and Sleep Quality: A Cross-Sectional Study

Objective

To examine the relationship between pregnancy-related anxiety, family functions, and sleep quality, and to determine whether family functions mediate the relationship between pregnancy-related anxiety and sleep quality.

Methods

A cross-sectional survey was conducted on pregnant women between April to August in 2022 in the obstetrics outpatient clinic of a tertiary care hospital in the Ningxia Hui Autonomous Region of China. A total of 1014 pregnant women aged 18 years and older were surveyed. They completed questionnaires, including: general demographic characteristics, the Pregnancy-related anxiety scale (PAQ), the Family Adaptation, Partnership, Growth, Affection, and Resolve (APGAR), and the Pittsburgh Sleep Quality Index Questionnaire (PSQI). Model 4 in PROCESS was used to analyze the relationships among pregnancy-related anxiety, family functions, and sleep quality, with family functions as a mediator.

Results

Among the 1014 pregnant women, the pregnancy-related anxiety scale score was (21.84 ± 5.64). The total score of the family functions scale was (8.10±2.26), and the overall sleep quality scale score was (7.89±2.99). When participants were grouped according to different socio-demographic characteristics, the study showed that all variables differed from anxiety, family functions or sleep quality, except for age, pre-pregnancy BMI and whether or not they had a first birth, which was not associated with anxiety, family functions, or sleep quality (P<0.05). The pregnancy-related anxiety was positively associated with sleep quality (P<0.01), while family functions were negatively associated with sleep quality (P<0.01). In addition, family functions mediate the relationship between pregnancy-related anxiety and sleep quality during pregnancy, on the first and second trimesters, intermediation rate is 9.31% (P<0.05), and on the third trimesters, intermediation rate is 21.38% (P<0.05).

Conclusion

Pregnancy- related anxiety is a risk factor for sleep quality, however, family functions are protective factors for sleep quality. Family functions play an intermediary role in sleep quality caused by pregnancy-related anxiety, especially on the third trimesters. This finding may provide a scientific basis for developing intervention strategies to improve the sleep quality of pregnant women.

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.

Prevalence and predictors for postpartum sleep disorders: a nationwide analysis

OBJECTIVE

To describe the prevalence and predictors of postpartum sleep disorders.

DESIGN

A retrospective cohort study.

SETTING

Postpartum.

POPULATION

Commercially insured women delivering in California (USA) between 2011 and 2014.

METHODS

Using the Optum Clinformatics Datamart Database.

MAIN OUTCOME MEASURES

Prevalence of a postpartum sleep disorder diagnosis with and without a depression diagnosis up to 12 months following hospital discharge for inpatient delivery. We also identified predictors of a postpartum sleep disorder diagnosis using multivariable logistic regression.

RESULTS

We identified 3535 (1.9%) women with a postpartum sleep disorder diagnosis. The prevalence of sleep disorder diagnoses was insomnia (1.3%), sleep apnea (0.25%), and other sleep disorder (0.25%). The odds of a postpartum sleep disorder were highest among women with a history of drug abuse (adjusted odds ratio (aOR): 2.70, 95% confidence interval (CI): 1.79-4.09); a stillbirth delivery (aOR: 2.15, 95% CI: 1.53-3.01); and chronic hypertension (aOR: 1.82; 95% CI: 1.57-2.11). A comorbid diagnosis of a postpartum sleep disorder and depression occurred in 1182 women (0.6%). These women accounted for 33.4% of all women with a postpartum sleep disorder. The strongest predictors of a comorbid diagnosis were a history of drug abuse (aOR: 4.13; 95% CI: 2.37-7.21) and a stillbirth delivery (aOR: 2.93; 95% CI: 1.74-4.92).

CONCLUSIONS

Postpartum sleep disorders are underdiagnosed conditions, with only 2% of postpartum women in this cohort receiving a sleep diagnosis using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes. Insomnia was the most common disorder and one-third of women diagnosed with a postpartum sleep disorder had a co-morbid diagnosis of depression. Future studies are needed to improve the screening and diagnostic accuracy of postpartum sleep disorders.

A comprehensive insight on cognitive behavioral therapy for insomnia in pregnant women: A systematic review and meta-analysis

BACKGROUND

Cognitive behavioral therapy for insomnia (CBT-I) as a first-line treatment may improve insomnia in pregnant women. The efficacy of the components, modalities, doses, and effectiveness of CBT-I in pregnant women at follow-up remains unclear.

OBJECTIVES

To assess the effectiveness of CBT-I in pregnant women and identify effective intervention components, modalities, and doses.

DESIGN

Systematic review and meta-analysis.

METHODS

Six English databases (PubMed, Embase, Cochrane Library, Web of Science, PsycINFO, CINAHL) and four Chinese databases (CNKI, WanFang Data, SinoMed, and CQVIP) were searched from inception to 10 January 2023. Randomized controlled trials (RCTs) on CBT-I in pregnant women with outcomes of insomnia severity measured by Insomnia Severity Index (ISI) or sleep quality measured by Pittsburgh Sleep Quality Index (PSQI). Two reviewers independently completed records selection, data extraction, and study quality assessment. The fixed-effect or random-effect model was used for pooled analyses. Subgroup analyses were conducted based on different delivery types and intervention duration. The GRADE approach was used to evaluate the certainty of the evidence. Narrative analyses were used when meta-analysis was not appropriate. Mean differences with 95% CIs of insomnia severity and sleep quality scores were the main outcomes (greater scores indicating greater severity).

RESULTS

Nine RCTs (N = 978) meeting the inclusion criteria were included. These trials included individual- (n = 6) or group-based (n = 3) interventions, which were conducted via face-to-face (n = 5), digital (n = 3) or telephone and e-mail (n = 1) formats. Six studies stated intervention components specific to pregnant women. CBT-I improved insomnia severity (MD = -2.69, 95% CI: -3.41 to -1.96, P ＜ 0.001, high quality evidence; MD = -3.69, 95% CI: -5.91 to -1.47, P = 0.001, moderate quality evidence) and sleep quality (MD = -2.85, 95% CI: -4.73 to -0.97, P = 0.003, moderate quality evidence; MD = -1.88, 95% CI: -2.89 to -0.88, P ＜ 0.001, moderate quality evidence) immediately after intervention (＜1-month) and at short-term (≥1 month to ＜6 months) follow-up, respectively. Two RCTs reported no effectiveness on insomnia severity at medium-term (≥6 months to＜12 months) follow-up. Only 1 RCT showed reduced insomnia severity at long-term (≥12 months) follow-up. One RCT reported no effectiveness in sleep quality at medium-term follow-up and effectiveness at long-term follow-up was not reported.

CONCLUSIONS

Pregnant women may benefit from CBT-I to improve short-term insomnia, but long-term effectiveness is unclear. Rigorous RCTs with long-term follow-ups are warranted.

Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data

During pregnancy, almost all women experience pregnancy-related symptoms. The relationship between symptoms and their association with pregnancy outcomes is not well understood. Many pregnancy apps allow pregnant women to track their symptoms. To date, the resulting data are primarily used from a commercial rather than a scientific perspective. In this work, we aim to examine symptom occurrence, course, and their correlation throughout pregnancy. Self-reported app data of a pregnancy symptom tracker is used. In this context, we present methods to handle noisy real-world app data from commercial applications to understand the trajectory of user and patient-reported data. We report real-world evidence from patient-reported outcomes that exceeds previous works: 1,549,186 tracked symptoms from 183,732 users of a smartphone pregnancy app symptom tracker are analyzed. The majority of users track symptoms on a single day. These data are generalizable to those users who use the tracker for at least 5 months. Week-by-week symptom report data are presented for each symptom. There are few or conflicting reports in the literature on the course of diarrhea, fatigue, headache, heartburn, and sleep problems. A peak in fatigue in the first trimester, a peak in headache reports around gestation week 15, and a steady increase in the reports of sleeping difficulty throughout pregnancy are found. Our work highlights the potential of secondary use of industry data. It reveals and clarifies several previously unknown or disputed symptom trajectories and relationships. Collaboration between academia and industry can help generate new scientific knowledge.

Care plan for individuals at risk for preeclampsia: shared approach to education, strategies for prevention, surveillance, and follow-up

Preeclampsia is a multisystemic disorder of pregnancy that affects 250,000 pregnant individuals in the United States and approximately 10 million worldwide per annum. Preeclampsia is associated with substantial immediate morbidity and mortality but also long-term morbidity for both mother and offspring. It is now clearly established that a low dose of aspirin given daily, beginning early in pregnancy modestly reduces the occurrence of preeclampsia. Low-dose aspirin seems safe, but because there is a paucity of information about long-term effects on the infant, it is not recommended for all pregnant individuals. Thus, several expert groups have identified clinical factors that indicate sufficient risk to recommend low-dose aspirin preventive therapy. These risk factors may be complemented by biochemical and/or biophysical tests that either indicate increased probability of preeclampsia in individuals with clinical risk factors, or more importantly, identify increased likelihood in those without other evident risk. In addition, the opportunity exists to provide this population with additional care that may prevent or mitigate the short- and long-term effects of preeclampsia. Patient and provider education, increased surveillance, behavioral modification, and other approaches to improve outcomes in these individuals can improve the chance of a healthy outcome. We assembled a group with diverse, relevant expertise (clinicians, investigators, advocates, and public and private stakeholders) to develop a care plan in which providers and pregnant individuals at risk can work together to reduce the risk of preeclampsia and associated morbidities. The plan is for care of individuals at moderate to high risk for developing preeclampsia, sufficient to receive low-dose aspirin therapy, as identified by clinical and/or laboratory findings. The recommendations are presented using the GRADE methodology with the quality of evidence upon which each is based. In addition, printable appendices with concise summaries of the care plan's recommendations for patients and healthcare providers are provided. We believe that this shared approach to care will facilitate prevention of preeclampsia and its attendant short- and long-term morbidity in patients identified as at risk for development of this disorder.

Sleep quality in women with diabetes in pregnancy: a single-center retrospective study

PURPOSE

Sleep quality is an important indicator of individual quality of life, which not only affects people's mental health but is also closely related to the occurrence of many diseases. Sleep disorders associated with diabetes in pregnancy can greatly endanger the health of both mothers and babies, and their hazards are strongly associated with blood glucose levels. This study explored the quality of sleep and sleep disorders in pregnant women with diabetes.

METHODS

From June 2020 to July 2021, a total of 693 patients diagnosed with diabetes during pregnancy in Gansu Provincial Maternal and Child Health Hospital were used as the experiment group, including 626 patients with gestational diabetes mellitus (GDM) and 67 patients with pregestational diabetes mellitus (PGDM). At the same time, 709 women not having diabetes were randomly selected as the control group. To obtain the general situation of the participants, the participants were surveyed using the Pittsburgh Sleep Quality Index (PSQI) and the STOP-BANG (S, Snoring; T, Tiredness; O, Observed apnea; P, high blood Pressure; B, Body mass index > 35 kg/ m2; A, Age > 50 years; N, Neck circumference > 40 cm; G, male Gender) questionnaire. The differences in sleep quality and obstructive sleep apnea-hypopnea syndrome (OSAHS) were analyzed between the experiment group and the control group by using chi-square and t-test, and the clinical features and related factors of sleep disorder were analyzed.

RESULTS

Compared with the control group, the age, pre-pregnancy weight, body mass index (BMI), and neck circumference were larger in the experimental group (P < 0.05). The experimental group had higher PSQI scores for sleep quality, time to fall asleep score, sleep duration, sleep efficiency, sleep disorder, and daytime dysfunction than the control group (all P < 0.001). Specific analysis of the clinical features of sleep disorders indicated that the experimental group scored higher than the control group (P < 0.05). The analysis of the types of daytime dysfunction showed that the experiment group scored higher in terms of frequently feeling sleepy and lack of energy to do things than the control group (P < 0.05). Analysis of STOP-BANG scores indicated that the proportion of patients with GDM or PGDM having fatigue, hypertension, BMI > 35 kg/m2, and neck circumference > 40 cm was higher than that in the control group (P < 0.05). According to regression analysis, sleep quality of patients with GDM was significantly impacted by the increases in age (OR: 1.243, CI:1.197-1.290), neck circumference (OR: 1.350, CI: 1.234-1.476), PSQI score (OR: 2.124, CI:1.656-2.724), and sleep efficiency score (OR: 3.083, CI:1.534-6.195), whereas that of patients with PGDM was impacted by age (OR: 1.191, CI:1.086-1.305), neck circumference (OR: 1.981, CI: 1.469-2.673), and PSQI score (OR: 7.835, CI: 2.383-25.761).

CONCLUSIONS

Pregnant women with diabetes had poorer sleep quality and a higher risk of developing OSAHS than those without diabetes. There may be some link between sleep quality and the onset of diabetic.

Common sleep disorders in pregnancy: a review

In this review, we provide a comprehensive overview of common sleep disorders during pregnancy, including their characterization, prevalence, risk factors, and possible contribution to maternal and fetal outcomes. We conducted a quasi-systematic literature search of the MEDLINE database and identified 744 studies from 1991 through 2021, inclusive, that met our inclusion criteria. We synthesized the existing literature on sleep disorders during pregnancy and highlighted controversies, research gaps, and needed clinical developments. Our review covers a range of sleep disorders, including insomnia, obstructive sleep apnea, restless legs syndrome, and circadian rhythm disorders. We discuss the prevalence of these disorders in pregnancy and their potential impact on maternal and fetal health outcomes. We also explore the relationship between sleep disorders, pre-pregnancy comorbidities such as obesity, and pregnancy-related conditions such as gestational diabetes mellitus and preeclampsia. In addition to summarizing the existing literature on sleep disorders during pregnancy, we also highlight opportunities for further research in this area. We suggest that future studies should strive to employ validated and objective measurement tools for sleep disorders and prioritize utilization of longitudinal methods with participant follow-up through postpartum, mid-life, menopause, and beyond. We also put forward investigation into the impact of circadian rhythm disruption on reproductive physiology and early pregnancy outcomes as an area of important work. Overall, our review provides valuable insights on sleep and reproduction and into common sleep disorders during pregnancy and their potential impact on maternal and fetal health outcomes.

Perinatal Understanding of Mindful Awareness for Sleep (PUMAS): A single-arm proof-of-concept clinical trial of a mindfulness-based intervention for DSM-5 insomnia disorder during pregnancy

OBJECTIVES

Cognitive-behavioral therapy is effective for prenatal insomnia, but unresolved cognitive arousal limits patient outcomes. Therapies aimed at reducing cognitive arousal may benefit pregnant women with insomnia. This proof-of-concept trial evaluated Perinatal Understanding of Mindful Awareness for Sleep (PUMAS, which combines mindfulness with behavioral sleep strategies) on insomnia, depression, and cognitive arousal.

METHODS

A single-arm trial of 12 pregnant women with DSM-5 insomnia disorder (n = 5/12 with comorbid depression) who received six sessions of PUMAS delivered individually via telemedicine. Pretreatment and posttreatment outcomes included the insomnia severity index (ISI), Edinburgh postnatal depression scale (EPDS), pre-sleep arousal scale's cognitive factor (PSASC; nocturnal cognitive arousal), perinatal-focused rumination (appended to PSASC), and Glasgow sleep effort scale.

RESULTS

Eleven of 12 patients completed all sessions. Intent-to-treat analyses revealed a 10.83-point reduction in ISI (Cohen's dz = 3.05), resulting in 83.3% insomnia remission. PUMAS produced large reductions in EPDS (Cohen's dz = 2.76 in depressed group), resulting in all five baseline depressed patients remitting from depression. PUMAS produced large reductions in nocturnal cognitive arousal, perinatal-focused rumination, and sleep effort (all Cohen's dzs>2.00). Patients were highly satisfied with PUMAS and identified the telemedicine format and meditation app as positive features of its delivery. Patients rated sleep restriction and guided meditations as the most helpful treatment components.

CONCLUSION

Prenatal insomnia patients were highly engaged in PUMAS, which produced large acute reductions in insomnia, depression, and cognitive arousal. These findings support the concept and feasibility of PUMAS for pregnant women with insomnia who present with or without comorbid depression.

CLINICALTRIALS

GOV ID

NCT04443959.

Prior pregnancy loss and sleep experience during subsequent pregnancy

OBJECTIVE

To describe sleep characteristics in the third trimester of pregnancy for women who had a prior pregnancy loss compared to women with no history of loss.

DESIGN

Descriptive comparison of baseline data prior to randomization for a clinical trial.

SETTING

Participants' homes.

PARTICIPANTS

Eligible women recruited from childbirth education classes during third trimester were over 18 years old, in partnered relationships, spoke English, did not work nightshift or have a diagnosed sleep disorder, and had no current complications or prior pregnancy loss (n = 140). Women with prior miscarriage or stillbirth were offered enrollment in an ancillary study (n = 20).

MEASUREMENTS

Sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI) and wrist actigraphy. Other measures included relationship satisfaction, perceived stress, and depressive symptoms. For this analysis, only third trimester data prior to randomization were compared.

RESULTS

Both groups had similar actigraphy-recorded sleep duration (7.1 ± 1.1 hours) and sleep efficiency (83.7 ± 7.9%). However, the pregnancy loss group had significantly (p = .050) worse PSQI scores (7.8 ± 2.6) than controls (6.7 ± 3.1), resulting primarily from the sleep disturbance component (p = .003), specifically bad dreams (p = .030) and legs twitching/jerking (p = .071). Controlling for demographic and health factors in multivariate analyses, prior pregnancy loss was significant for sleep disturbance (p = .047), bad dreams (p = .018), and partner-reported leg twitching/jerking (p = .048).

CONCLUSIONS

Long after the acute grief of a pregnancy loss, perceived sleep quality can be problematic during the next pregnancy. Whether poor sleep quality is present prior to the pregnancy loss or reflects long-term maternal sleep characteristics require further research.

Racial disparities in treatment engagement and outcomes in digital cognitive behavioral therapy for insomnia among pregnant women

OBJECTIVES

In the United States, Black women are disproportionately afflicted with prenatal insomnia. Although cognitive-behavioral therapy for insomnia (CBTI) may represent a strategy to reduce disparities in insomnia, racial minorities attend fewer healthcare appointments and have poorer outcomes from prenatal care and mental health treatment relative to white patients. The present study examined differences in treatment engagement and patient-reported outcomes in non-Hispanic Black and white pregnant women receiving digital CBTI.

METHODS

Secondary analysis of 39 pregnant women with clinical insomnia who received digital CBTI. Treatment engagement was operationalized as the number of sessions completed (≥4 considered an adequate dose). Treatment outcomes were assessed using the Insomnia Severity Index (ISI; insomnia) and Pittsburgh Sleep Quality Index (PSQI; global sleep disturbance).

RESULTS

Black women were 4 times more likely than white women to discontinue CBTI before receiving an adequate dose (8.3% vs. 33.3%). Regarding treatment outcomes, white women reported a mean reduction of 5.75 points on the ISI and a reduction of 3.33 points on the PSQI (Cohen's dz = 1.10-1.19). By comparison, Black women reported reductions of 2.13 points on the ISI and 1.53 points on the PSQI, which were statistically non-significant. Differences in treatment engagement did not account for the disparities in patient-reported outcomes.

CONCLUSIONS

During pregnancy, Black women completed fewer CBTI sessions and experienced poorer treatment outcomes in response to digital CBTI relative to white women. Enhancements to insomnia therapy and its digital delivery may improve adherence and outcomes in Black pregnant women.

Adverse infant outcomes among women with sleep apnea or insomnia during pregnancy: A retrospective cohort study

OBJECTIVE

To evaluate whether sleep apnea or insomnia among pregnant people is associated with increased risk for adverse infant outcomes.

DESIGN

Retrospective cohort study SETTING: California PARTICIPANTS: The sample included singleton live births. Sleep apnea and insomnia were defined based on ICD-9 and -10 codes. A referent group was selected using exact propensity score matching on maternal characteristics, obstetric factors, and infant factors among individuals without a sleep disorder.

MEASUREMENTS

Adverse infant outcomes were obtained from birth certificate, hospital discharge, and death records (eg, Apgar scores, neonatal intensive care unit (NICU) stay, infant death, long birth stay, etc.). Logistic regression was used to calculate odds of an adverse infant outcome by sleep disorder type.

RESULTS

Propensity-score matched controls were identified for 69.9% of the 3371 sleep apnea cases and 68.8% of the 3213 insomnia cases. Compared to the propensity-matched referent group, individuals with a diagnosis of sleep apnea (n = 2357) had infants who were more likely to have any adverse outcome, low 1-min Apgar scores, NICU stay, and an emergency room visit in the first year of life. Infants born to mothers with a diagnosis of insomnia (n = 2212) were at increased risk of few negative outcomes relative to the propensity matched referent group, with the exception of an emergency room visit.

CONCLUSIONS

In unadjusted analyses, infants born to individuals with a diagnosis of sleep apnea or insomnia were at increased risk of several adverse outcomes. These were attenuated when using propensity score matching, suggesting these associations were driven by other comorbidities.

Improving perinatal sleep via a scalable cognitive behavioural intervention: findings from a randomised controlled trial from pregnancy to 2 years postpartum

BACKGROUND

Sleep disturbance is common in gestational parents during pregnancy and postpartum periods. This study evaluated the feasibility and efficacy of a scalable cognitive behavioural therapy (CBT) sleep intervention tailored for these periods.

METHODS

This is a two-arm, parallel-group, single-blind, superiority randomised controlled trial. Nulliparous females without severe medical/psychiatric conditions were randomised 1:1 to CBT or attention- and time-matched control. All participants received a 1 h telephone session and automated multimedia emails from the third trimester until 6 months postpartum. Outcomes were assessed with validated instruments at gestation weeks 30 (baseline) and 35 (pregnancy endpoint), and postpartum months 1.5, 3, 6 (postpartum endpoint), 12 and 24.

RESULTS

In total, 163 eligible participants (age M ± s.d. = 33.35 ± 3.42) were randomised. The CBT intervention was well accepted, with no reported adverse effect. Intention-to-treat analyses showed that compared to control, receiving CBT was associated with lower insomnia severity and sleep disturbance (two primary outcomes), and lower sleep-related impairment at the pregnancy endpoint (p values ⩽ 0.001), as well as at 24 months postpartum (p ranges 0.012-0.052). Group differences across the first postpartum year were non-significant. Participants with elevated insomnia symptoms at baseline benefitted substantially more from CBT (v. control), including having significantly lower insomnia symptoms throughout the first postpartum year. Group differences in symptoms of depression or anxiety were non-significant.

CONCLUSIONS

A scalable CBT sleep intervention is efficacious in buffering against sleep disturbance during pregnancy and benefitted sleep at 2-year postpartum, especially for individuals with insomnia symptoms during pregnancy. The intervention holds promise for implementation into routine perinatal care.

Sleep During Pregnancy

PURPOSE OF REVIEW

This article will provide a brief review of most recent findings of sleep, insomnia, obstructive sleep apnea, and restless leg syndrome during pregnancy.

RECENT FINDINGS

Recent meta-analyses have found that 38.2% of pregnant women experience insomnia, 15% experience obstructive sleep apnea, and 20% experience restless leg syndrome. Poor sleep during pregnancy is associated with increased odds of preterm birth, cesarean section, hypertension, gestational diabetes, and longer deliveries. OSA is also associated with poor outcomes such as maternal hypertension, gestational diabetes, preterm birth, and low infant Apgar score. Incidence of new-onset RLS increases with parity, gestational age, maternal age, and increased maternal adiposity. Typical treatments have been found to be effective for treating sleep disorders in pregnant women. Obtaining sufficient sleep quality and quantity in addition to assessing and treating sleep disorders should be a priority for pregnant women and their providers.

Aircraft noise and vehicle traffic-related air pollution interact to affect preterm birth risk in Los Angeles, California

INTRODUCTION

Air pollution has been linked to preterm birth (PTB) while findings for noise exposure have been mixed. Few studies - none considering airports - have investigated combined exposures. We explore the relationship between joint exposure to airport-related noise, airport ultrafine particles (UFP), and vehicle traffic-related air pollution (TRAP) on risk of PTB near Los Angeles International Airport (LAX).

METHODS

We used comprehensive birth data for mothers living ≤15 km from LAX from 2008 to 2016 (n = 174,186) Noise data were generated by monitor-validated models. NO₂ was used as a TRAP proxy, estimated with a seasonally-adjusted, validated land-use regression model. We estimated the effects of exposure to airport-related noise and TRAP on PTB employing logistic regression models that adjusted for known maternal risk factors for PTB as well as aircraft-origin UFP and neighborhood characteristics.

RESULTS

The adjusted odds ratio (aOR) for PTB from high noise exposure (i.e. > 65 dB) was 1.10 (95% CI: 1.01-1.19). Relative to the first quartile, the aORs for PTB in the second, third, and fourth TRAP quartiles were 1.10 (95% CI: 1.05-1.16), 1.11 (95% CI: 1.05-1.16), and 1.15 (95% CI: 1.10-1.22), respectively. When stratifying by increasing TRAP quartiles, the aORs for PTB with high airport-related noise were 1.04 (95% CI: 0.91-1.18), 1.02 (95% CI: 0.88-1.19), 1.24 (95% CI: 1.03-1.48), and 1.44 (95% CI: 1.08-1.91) (p-interaction = 0.06).

CONCLUSION

Our results suggest a potential synergism between airport-related noise and TRAP exposures on increasing the risk of PTB in this metropolitan area.

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.

The epidemiology of apnoea of prematurity

WHAT IS KNOWN AND OBJECTIVE

Many premature infants less than 37 weeks gestational age (GA), and almost all infants less than 28 weeks GA, will experience apnoea of prematurity (AOP)-a cessation of respiration for 20 or more seconds (or less than 20 s if accompanied by other signs). Because the treatment options for AOP are so limited, we explore its epidemiology, with the ultimate hope of learning how to decrease its incidence.

COMMENT

Although AOP usually resolves with maturation of the respiratory system, many short- and long-term negative effects are correlated statistically with AOP (although direct causality has not been established). The primary risk factor for AOP is preterm birth, but delivery technique, genetics, socioeconomic status, racial disparities and other influences are suspected to be involved. Anaemia, asthma and gastric reflux have also been associated with preterm birth, but the relationship with AOP is unclear. The postulated associations and the strength of the evidence are briefly reviewed and discussed.

WHAT IS NEW AND CONCLUSION

Attempts to elucidate the epidemiology of apnoea of prematurity have been challenging. Studies of AOP are hampered in part by challenges in monitoring the condition, the interplay of multiple comorbidities in preterm neonates and lack of expert consensus definitions. However, since the primary risk factor is preterm birth, efforts to decrease the prevalence of preterm birth would have a positive secondary effect on the prevalence of AOP. Until then, better pharmacotherapeutic options are needed.

Shift and night work during pregnancy and preterm birth-a cohort study of Swedish health care employees

BACKGROUND

Previous studies of preterm birth (PTB) concerning night work have been inconclusive and partly limited by imprecise data on working schedules. This study investigated the risk of PTB in relation to detailed, registry-based data on working hours.

METHODS

In a register-based prospective cohort study, we identified 4970 singleton births with information on PTB from the Swedish Medical Birth Register of health care employees in Stockholm. Day-by-day information on working hours 2008-16 was obtained from a computerized employee register. Odds ratios (ORs) of PTB according to work hour characteristics were analysed by logistic regression adjusted for mother's age, stature, body mass index (BMI), parity, smoking habits, education, profession and country of birth.

RESULTS

There was an increased risk of PTB among those who frequently worked night shifts (>25 times) [OR, 1.62; 95% confidence interval (CI), 1.03-2.53] and who ever worked ≥3 consecutive night shifts (OR, 1.43; 95% CI, 1.03-1.99) during the first trimester. Frequently (> 8 times) working 3 or more consecutive nights, and frequently (>18 times) having quick returns from night shifts (<28 h) during the first trimester showed 3-4 fold increased risk of PTB. Moreover, working frequent (>20 times) long shifts (≥10 h) (OR 1.63; 95% CI, 1.07-2.49) during the first trimester and working any Week >40 h (OR 2.05; 95% CI, 1.31-3.22) during the third trimester were associated with PTB.

CONCLUSIONS

In this cohort of Swedish health care employees with registry-based data on working hours, night work, especially working frequent consecutive nights, and quick returns from night shifts during the first trimester were associated with increased risk of PTB among pregnant women.

Differentiating perinatal Insomnia Disorder and sleep disruption: a longitudinal study from pregnancy to 2 years postpartum

STUDY OBJECTIVES

Insomnia Disorder diagnoses require persistent sleep complaints despite "adequate sleep opportunity." Significant Perinatal Sleep Disruption makes this diagnosis challenging. This longitudinal study distinguished between Insomnia Disorder and Perinatal Sleep Disruption and their sleep and mental health correlates.

METHODS

One hundred sixty-three nulliparous females (age M ± SD = 33.35 ± 3.42) participating in a randomized controlled trial repeated the Insomnia Disorder module of the Duke Structured Interview for Sleep Disorders and Patient-Reported Outcome Measurement Information System measures for sleep and mental health at 30- and 35-weeks' gestation, and 1.5, 3, 6, 12, and 24 months postpartum (944 interviews, 1009 questionnaires completed). We compared clinical features when Diagnostic and Statistical Manual of Mental Disorders (DSM-5) Insomnia Disorder criteria (without the Duration criterion) were: (1) met (Insomnia Disorder), (2) not met only because of the sleep opportunity criteria (Perinatal Sleep Disruption), and (3) not met due to other criteria (Low Complaint).

RESULTS

Proportions of Insomnia Disorder were 16.0% and 19.8% during early and late third trimester, and ranged 5.3%-11.7% postpartum. If the sleep opportunity criteria were not considered, rates of Insomnia would be 2-4 times higher (21.4%-40.4%) across time-points. Mixed-effects models adjusting for covariates showed that compared to Low Complaint, both Insomnia Disorder and Perinatal Sleep Disruption scored significantly higher on insomnia and sleep disturbance scales, sleep effort, and sleep-related impairments (p values < .01), but depression and anxiety were comparable (p values > .12).

CONCLUSION

Assessing sleep complaints without considering sleep opportunities can result in over-diagnosis of Insomnia Disorder in the perinatal periods. Insomnia Disorder and Perinatal Sleep Disruption were both associated with adverse sleep and mood outcomes, and need to be carefully differentiated and appropriately addressed. Clinical Trial Registration: The SEED Project (Sleep, Eat, Emotions, and Development): A randomized controlled pilot study of a perinatal sleep intervention on sleep and wellbeing in mothers and infants. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371634, Australian New Zealand Clinical Trials Registry: ACTRN12616001462471.

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

Study Objectives

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

Methods

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

Results

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

Conclusions

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

Randomized controlled trial of digital cognitive behavior therapy for prenatal insomnia symptoms: Effects on postpartum insomnia and mental health

STUDY OBJECTIVES

To evaluate the effects of digital cognitive behavior therapy for insomnia (dCBT-I) delivered during pregnancy on subjective sleep outcomes, depressive symptoms, and anxiety symptoms through six months postpartum.

METHODS

People up to 28 weeks gestation (N=208) with insomnia were randomized to six weekly sessions of dCBT-I or standard care. We report follow-up data at three and six months postpartum. The primary outcome was insomnia symptom severity. Secondary sleep outcomes included global sleep quality and insomnia caseness. Mental health outcomes included depressive and anxiety symptom severity. We evaluated between-condition differences in change from baseline for each postpartum timepoint and categorical outcomes.

RESULTS

dCBT-I participants did not experience significantly greater improvements in insomnia symptom severity relative to standard care participants, but they did experience higher rates of insomnia remission and lower rates of insomnia caseness at six months postpartum. dCBT-I participants experienced greater improvements in depressive symptom severity from baseline to both postpartum timepoints, and in anxiety symptom severity from baseline to three months postpartum. The proportion of participants with probable major depression at three months postpartum was significantly higher among standard care (18%) than dCBT-I (4%, p=.006) participants; this between-condition difference was pronounced among the subset (n=143) with minimal depressive symptoms at baseline (18% vs 0%).

CONCLUSION

dCBT-I use during pregnancy leads to enduring benefits for postpartum insomnia remission. Findings provide strong preliminary evidence that dCBT-I use during pregnancy may prevent postpartum depression and anxiety, which is notable when considering the high frequency and importance of these problems.

Relaxation interventions for improving sleep outcomes in perinatal women: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Sleep problem is common amongst perinatal women, and stress may trigger and intensify sleep problems in a vicious cycle. Relaxation interventions are gradually being adopted to improve sleep quality in various populations, but little is known about their effectiveness in perinatal women.

OBJECTIVE

To evaluate the effects of relaxation interventions on sleep outcomes amongst all perinatal women aged 18 and above, and identify the essential type, regime and approach in designing relaxation intervention.

DESIGN

Systematic review and meta-analysis of 11 studies among 1046 perinatal women.

DATA SOURCES

We searched Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, Excerpta Medica dataBASE, PsycINFO, ProQuest Dissertations and Theses, PubMed and Web of Science from their inception until December 15, 2019.

REVIEW METHODS

Studies were assessed for clinical and statistical heterogeneity and considered for meta-analysis. Comprehensive Meta-analysis and The Cochrane Risk of Bias tool were used for meta-analyses and assessing of risk of bias, respectively.

RESULTS

A total of 6346 records were identified, and 11 randomised control trials were selected. Significantly large effects were found in relaxation interventions in improving sleep quality (Cohen's d = 2.55), disturbance (Cohen's d = 1.52), latency (Cohen's d = 1.82) and duration (Cohen's d = 1.14) when compared with those in the control groups. Subgroup analyses showed that antenatal women who performed progressive muscle relaxation (PMR) by themselves for preventive function and long-term practice showed improved sleep quality compared with their counterparts.

CONCLUSION

PMR is preferable as a supplementary intervention to current existing antenatal care. The grade of the overall evidence of the outcomes ranged from very low to low.

IMPLICATIONS FOR PRACTICE

The meta-analysis addressed the effect of relaxation interventions on sleep outcomes amongst perinatal women. Relaxation interventions may effectively improve sleep quality, disturbance, latency and duration amongst perinatal women early in antenatal period. However, further well-designed trials in large samples are required.

Melatonin: From Neurobiology to Treatment

Melatonin, the major regulator of the sleep/wake cycle, also plays important physiological and pharmacological roles in the control of neuronal plasticity and neuroprotection. Accordingly, the secretion of this hormone reaches the maximal extent during brain development (childhood-adolescence) while it is greatly reduced during aging, a condition associated to altered sleep pattern and reduced neuronal plasticity. Altogether, these properties of melatonin have allowed us to demonstrate in both experimental models and clinical studies the great chronobiotic efficacy and sleep promoting effects of exogenous melatonin. Thus, the prolonged release formulation of melatonin, present as a drug in the pharmaceutical market, has been recently recommended for the treatment of insomnia in over 55 years old subjects.

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.

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.

Daytime Napping and Nighttime Sleep During Pregnancy and Preterm Birth in Iran

OBJECTIVES

This study investigated the relationship between sleep quality during pregnancy and preterm birth.

METHODS

This longitudinal study was conducted between August 2018 and May 2019. The participants were 150 pregnant women who had been referred to 7 healthcare centers in the city of Qazvin, Iran and met the inclusion criteria. The Petersburg Sleep Quality Index, the Epworth Sleepiness Scale, and 2 questions about daytime sleep status and a demographic questionnaire were administered at 14-18 weeks and 28-32 weeks of gestation. Data were analyzed using the Mann-Whitney test, the Fisher exact test, and univariate and multivariable logistic regression.

RESULTS

In the present study, poor sleep quality affected 84.7% of the participants at 14-18 weeks and 93.3% at 28-32 weeks of gestation. The final model for preterm birth prediction incorporated age and the Petersburg Sleep Quality Index score in the second and third trimesters. Preterm birth increased by 14% with each unit increase in age. With each unit increase in the Petersburg Sleep Quality Index score in the second and third trimesters, preterm birth increased by 42% and 28%, respectively, but the p-values of these factors were not significant.

CONCLUSIONS

Although a significant percentage of pregnant women had poor sleep quality, no significant relationship was found between sleep quality during pregnancy and preterm birth.

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.

The association between preterm birth and postpartum mental healthcare utilization among California birthing people

BACKGROUND

While mental health conditions such as postpartum depression are common, little is known about how mental healthcare utilization varies after term versus preterm delivery.

OBJECTIVE

This study aimed to determine whether preterm birth is associated with postpartum inpatient and emergency mental healthcare utilization.

STUDY DESIGN

The study sample was obtained from a database of live-born neonates delivered in California between the years of 2011 and 2017. The sample included all people giving birth to singleton infants between the gestational age of 20 and 44 weeks. Preterm birth was defined as <37 weeks' gestation. Emergency department visits and hospitalizations with a mental health diagnosis within 1 year after birth were identified using International Classification of Diseases codes. Logistic regression was used to compare relative risks of healthcare utilization among people giving birth to preterm infants vs term infants, adjusting for the following covariates: age, race or ethnicity, parity, previous preterm birth, body mass index, tobacco use, alcohol or drug use, hypertension, diabetes mellitus, adequacy of prenatal care, education, insurance payer, and the presence of a mental health diagnosis before birth. Results were then stratified by mental health diagnosis before birth to determine whether associations varied based on mental health history.

RESULTS

Of our sample of 3,067,069 births, 6.7% were preterm. In fully adjusted models, compared with people giving birth to term infants, people giving birth to preterm infants had a 1.5 times (relative risk; 95% confidence interval, 1.4-1.7) and 1.3 times (relative risk; 95% confidence interval, 1.2-1.4) increased risk of being hospitalized with a mental health diagnosis within 3 months and 1 year after delivery, respectively. People giving birth to preterm infants also had 1.4 times (95% confidence interval, 1.3-1.5) and 1.3 times (95% confidence interval, 1.2-1.4) increased risk of visiting the emergency department for a mental health diagnosis within 3 months and 1 year after birth, respectively. Stratifying by preexisting mental health diagnosis, preterm birth was associated with an elevated risk of mental healthcare utilization for people with and without a previous mental health diagnosis.

CONCLUSION

We found that preterm birth is an independent risk factor for postpartum mental healthcare utilization. Our findings suggest that screening for and providing mental health resources to birthing people after delivery are crucial, particularly among people giving birth to preterm infants, regardless of mental health history.

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

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