Association of stress-related sleep disturbance with psychiatric symptoms among pregnant women

Sleep disturbance and its associated factors among pregnant women in Ethiopia: systematic review and meta-analysis

INTRODUCTION

Globally, sleep disturbance is the foremost public health issue among pregnant women which might have undesirable birth outcome including neurocognitive impairment, preterm birth, low birth weight, and neonatal morbidity and mortality. In Ethiopia, inconsistent findings have been reported on the prevalence of sleep disturbance among pregnant women. Therefore, this review aims to estimate the pooled prevalence sleep disturbance and its associated factors among pregnant women in Ethiopia.

METHODS

This systematic review and meta-analysis of observational studies was designed according to the PRISMA guideline. A systematic search of literature was conducted in PubMed, Scopus, Web of science, and Google Scholar using relevant searching key terms. The Newcastle-Ottawa scale was used to evaluate the quality of all selected articles. Data were analyzed using STATA Version 14 software. Publication bias was checked using Egger's test and funnel plot. Cochran's chi-squared test and I2 values were used to assess heterogeneity. A fixed-effects model was applied during meta-analysis.

RESULTS

In this review, six studies were included after reviewing 17,100 articles. The pooled prevalence of sleep disturbance among pregnant women in Ethiopia was 50.43% (95%CI: 39.34-61.52). Third trimester pregnancy AOR = 4.03; 95% CI: 2.84,5.71), multigravidity (AOR = 1.99; 95% CI: 1.54, 2.59), unplanned pregnancy (AOR = 2.56; 95% CI: 1.52,4.31), depression (AOR = 3.57; 95% CI: 2.04, 6.27), stress (AOR = 2.77; 95% CI: 1.57, 4.88), anxiety (AOR = 3.69; 95% CI: 1.42, 9.59) and poor sleep hygiene (AOR = 2.49; 95% CI: 1.56, 3.99) and were statistically associated with sleep disturbance among pregnant women.

CONCLUSION

This review revealed that the magnitude of sleep disturbance among pregnant woman in Ethiopia was relatively high and multiple factors determined the likelihood of having a disturbed sleep-awake pattern. Thus, the implementation of interventions for sleep disturbance after screening pregnant women is needed. Moreover, public health interventions targeted on the prevention of unintended pregnancy and depression during pregnancy should be implemented.

Dose-response associations of maternal prenatal noise exposure duration with antepartum depression status

BACKGROUND

Antepartum depression has been reported to be associated with the intensity of maternal prenatal noise exposure; however, the association between noise exposure duration and the development of antepartum depression has not been established. This study aimed to determine the total and trimester-specific association of prenatal noise exposure duration with the development of antepartum depression.

METHODS

From May 2018 to June 2021, we recruited 2,166 pregnant women from Shengjing Hospital, northeast China. We used a standardized questionnaire to assess women's prenatal noise exposure and used the Edinburgh Postnatal Depression Scale to assess pregnant women's antepartum depression during the 1st -, 2nd -, and 3rd - trimesters. We calculated a cumulative noise exposure score ranging from 0 to 3, with a higher score reflecting higher frequency and longer duration of noise exposure during pregnancy.

RESULTS

Women who were exposed to noise for ≥ 15 min per day had an increased risk of antepartum depression compared with women who were not exposed to noise during pregnancy [odds ratio (OR) = 1.83, 95%CI:1.18, 2.83]. Noise exposure in a specific trimester was associated with higher risk of depression in the same trimester and subsequent trimesters. We observed increases in antepartum depression risk with increasing cumulative noise exposure scores (P for trend < 0.05 for all). Pregnant women with the highest scores had the highest risk of antepartum depression during the first (OR = 1.30, 95%CI:1.02, 1.65), second (OR = 1.75, 95%CI:1.23, 2.50) trimesters. Women with a cumulative noise exposure score of 2 had the highest risk of antepartum depression during the third trimester (OR = 1.79, 95%CI:1.14, 2.80), as well as during the whole pregnancy (OR = 1.94, 95%CI:1.14, 3.30).

CONCLUSIONS

Maternal prenatal noise exposure duration was positively associated with antepartum depression risk in a dose-response manner. It is necessary to develop strategies by which pregnant women can avoid excessive exposure to noise to prevent antepartum depression.

Postpartum Psychosis: A Review of Risk Factors, Clinical Picture, Management, Prevention, and Psychosocial Determinants

Postpartum psychosis is rare, but is a serious clinical and social problem. On its own, it is not included in DSM-5 (Diagnostic and Statistical Manual of Mental Disorders) or ICD-10 (International Statistical Classification of Diseases and Related Health Problems) as a disease entity, and current diagnostic criteria equate it with other psychoses. This poses a serious legal problem and makes it difficult to classify. The disorder is caused by a complex combination of biological, environmental, and cultural factors. The exact pathophysiological mechanisms of postpartum psychosis remain very poorly understood. There is a need for further research and increased knowledge of the medical sector in the prevention and early detection of psychosis to prevent stigmatization of female patients during a psychiatric episode. It is necessary to regulate its position in the DSM5 and ICD-10. Attention should be paid to the social education of expectant mothers and their families. This article aims to review the current status of risk factors, prevention, and management of postpartum psychosis.

Decoding distress among pandemic pregnancies: Examining pregnancy distress and COVID-19 stress as concurrent predictors of current and anticipated postpartum sleep during the COVID-19 pandemic

OBJECTIVES

The goal of the present study was to examine pregnancy distress, COVID-19 stress, COVID-19 compliance, and life satisfaction as concurrent predictors of perceived current and anticipated postpartum sleep duration (SD) and quality among a U.S. sample of pregnant individuals.

METHODS

The sample comprised 544 pregnant individuals (62.3% non-Hispanic White; mean age = 28.0 and SD = 6.2), most of whom were in their third trimester (42.3%). Participants were recruited through an online panel (Qualtrics) between October and November 2020.

RESULTS

The primary analysis was based on a concurrent path model, which examined pregnancy distress, COVID-19 stress, COVID-19 compliance, and life satisfaction as predictors of current and anticipated postpartum SD and sleep quality, controlling for several demographic (eg, age and income), familial (eg, number of children and adults in the home), sleep-related (eg, chronotype and use of sleeping medication), and psychosocial functioning (eg, COVID-19 impact) variables. Results indicated that higher COVID-19 compliance was significantly associated with poorer current sleep quality. Furthermore, both pregnancy distress and COVID-19 stress predicted worse anticipated postpartum sleep quality (but not duration). Life satisfaction, however, was consistently significantly associated with current and anticipated postpartum SD and quality.

CONCLUSIONS

Findings are critical for understanding how various forms of stress correlate with sleep health behaviors during pregnancy, as well as expectations for postpartum sleep among a vulnerable population at risk for both psychological and sleep challenges during a period of unprecedented global stress.

Prevalence and associated factors of insomnia symptoms among pregnant women in the third trimester in a moderately developing region of China

BACKGROUND

Insomnia is the most common sleep disorder in the general population, especially among pregnant women, and it is considered a major public health issue. Not only can it cause mental and physical problems in pregnant women, but it may also affect the growth of the fetus. However, there are few reports on the prevalence and influencing factors of insomnia symptoms in third-trimester women in China. The objective of this study was to assess the prevalence of insomnia symptoms among pregnant women in the third trimester in a moderately developing region of China and to further explore the associated factors of insomnia symptoms from various aspects.

METHODS

A cross-sectional survey was conducted among eligible pregnant women in the third trimester from December 2022 to February 2023. Data on socio-demographic characteristics, clinical characteristics, and behavioral and psychological characteristics of pregnant women were collected through a structured questionnaire. The Chi-square test and multivariate logistics regression were applied to explore the associated factors of insomnia symptoms.

RESULTS

A total of 535 pregnant women in the third trimester were included in this study, and the prevalence of insomnia symptoms was 59.8%. Multivariate logistic regression analysis revealed that pregnant women who lived together with elders (OR: 0.58, 95% CI: 0.40-0.86), had low perceived stress (OR: 0.58, 95% CI: 0.35-0.97), had no threatened abortion (OR: 0.55, 95% CI: 0.32-0.93) and had good doctor-patient communication (OR: 0.66, 95% CI: 0.45-0.98) were more likely to stay away from insomnia symptoms. However, pregnant women with anxiety symptoms (OR: 2.27, 95% CI: 1.28-4.03), fear of childbirth (OR: 1.63, 95% CI: 1.11-2.40) and a high experience of COVID-19 fear (OR: 1.61, 95% CI: 1.03-2.54) tended to have insomnia symptoms.

CONCLUSIONS

The prevalence of insomnia symptoms in pregnant women is high in Lianyungang city in eastern China in the third trimester. Insomnia symptoms is influenced by multiple factors. There is an urgent need to develop interventions to reduce the prevalence of insomnia symptoms in the third trimester and to focus on pregnant women with risk factors for insomnia symptoms.

Depressive symptoms and sleep disturbances in late pregnancy: Associations with experience of induction of labor with a catheter

OBJECTIVE

Depressive symptoms and sleep disturbances have been found to be associated with negative labor experiences, particularly an increased level of pain. However, the associations between maternal depressive symptoms and sleep disturbances and the experience of induction of labor (IOL) remain unknown. In this study, we evaluated these associations with balloon catheter IOL.

STUDY DESIGN

A prospective study was conducted on 106 women with planned IOL. Depressive symptoms were evaluated with The Edinburg Postnatal Depression Scale (EPDS) and sleep disturbances with the Basic Nordic Sleep Questionnaire (BNSQ) at the beginning of IOL. The IOL experience was investigated both during the IOL and postpartum with the same nine visual analogue scale (VAS) questions.

RESULTS

Regarding sleep disturbances, during the IOL, women with worse general sleep quality were less satisfied (P = 0.019), less relaxed (P = 0.008), experienced more pain in general (P = 0.002) and reported higher contraction frequency (P = 0.003). Furthermore, women who experienced difficulties falling asleep were less relaxed (P = 0.009), reported more general pain (P < 0.001) and contraction pain (P = 0.005), while those with more daytime sleepiness reported less contraction pain (P = 0.033). In postpartum, women with worse general sleep quality reported more general pain (P = 0.003), while women with longer sleep duration and those with higher sleep loss reported more anxiety (P = 0.009 and P = 0.024, respectively). Additionally, women who woke up too early in the morning were less satisfied (P = 0.042), less relaxed (P = 0.004) and reported more general pain (P = 0.018). However, those who experienced more frequent nocturnal awakenings reported being more relaxed (P = 0.014) and having less general pain (P = 0.033). Higher depressive symptoms were associated with a higher frequency of contractions during IOL (P = 0.030), but with less general pain in postpartum (P = 0.027).

CONCLUSIONS

Women with sleep disturbances during pregnancy were more likely to report more negative experiences during the IOL. Specifically, they reported more pain, feeling less relaxed and they were less satisfied with IOL. Conversely, the association between depressive symptoms and the experience of IOL seemed weaker. Thus, the quality of sleep of pregnant women is important for a better experience of IOL.

Predictor role of marital conflict on maternal competency with mediating role of perceived stress and concerns during pregnancy: A structural equation model

AIM

Pregnancy prepares the mother for the transition to motherhood. Maternal concerns during pregnancy cause reduced time spent with the spouse and lack of social support; additional stresses such as marital conflicts could impact maternal competency. This study aimed to assess the predictive effect of marital conflicts with the mediating role of perceived stress and pregnancy concern on maternal competency.

METHODS

This was a longitudinal study. It was done on 250 mothers referred to selected health centers in Alborz province. The sampling method was convenient. Marital conflicts, perceived stress, and pregnancy concerns questionnaires were completed in the third trimester of pregnancy, and the maternal competency questionnaire was completed 6 weeks after delivery. Data were analyzed by SPSS software and smart partial least squares.

RESULTS

The results of structural equations showed that marital conflicts have a negative and significant effect on maternal competency (β = -0.14), marital conflicts have a positive and significant effect on perceived stress (β = 0.42), and marital conflicts have a positive and significant effect on pregnancy concern (β = 0.31). Also, perceived stress negatively and significantly affected maternal competency (β = -0.36).

DISCUSSION

Results of the study showed the necessities for screening and identifying mothers with conflicts and assessing the perceived stress of mothers will improve the mental health of pregnant mothers and consequently increase maternal competency.

Self perceived health and stress in the pregnancy during the COVID-19 pandemic

Introduction

The COVID-19 pandemic has had numerous maternal and neonatal consequences, especially at the mental level. Pregnant women experience a rise in anxiety symptoms and prenatal stress.

Aims

The aim was to describe self-perceived health status, general stress and prenatal stress and to analyze relations and associations with sociodemographic factors.

Methods

A quantitative, descriptive and cross-sectional study was conducted using non-probabilistic circumstantial sampling. The sample was recruited during the first trimester of pregnancy during the control obstetrical visit. The Google Forms platform was used. A total of 297 women participated in the study. The Prenatal Distress Questionnaire (PDQ), the Perceived Stress Score (PSS) and the General Health Questionnaire (GHQ-28) were used.

Results

Primiparas presented higher levels of worry about childbirth and the baby (10.93 ± 4.73) than multiparous women (9.88 ± 3.96). Somatic symptoms were present in 6% of the women. Anxiety-insomnia was scored positively by 18% of the women. In the Spearman correlation analysis, statistically significant values were found between almost all study variables. A positive correlation was observed between self-perceived health and prenatal and general stress levels.

Discussion

During the first trimester of gestation, prenatal concerns increase when levels of anxiety, insomnia and depression also increase. There is a clear relationship between prenatal worries, anxiety, insomnia and depression with stress. Health education that focuses on mental health of pregnant women would help reduce worries during pregnancy and would improve the pregnant women perception of her health and well-being.

Sleep-related attentional bias: Development and validation of a Chinese version of the brief sleep-associated monitoring index in pregnant women

OBJECTIVES

This study aimed to develop a Chinese version of the brief Sleep-Associated Monitoring Index (SAMI-B), and examine its psychometric properties among pregnant women.

METHODS

This cross-sectional study conveniently recruited 665 pregnant women from two tertiary hospitals in Shandong, China; 110 completed a retest survey within two or three weeks after completing the baseline questionnaires. The scale was developed following established guidelines. Participants completed the SAMI-B, SAMI, Insomnia Severity Index, Pittsburgh Sleep Quality Index, Pre-Sleep Arousal Scale, Edinburgh Postnatal Depression Scale, and Generalized Anxiety Disorder-7 Scale. Psychometric evaluation included reliability (internal consistency, test-retest reliability) and validity (construct, item and concurrent validity; and diagnostic accuracy).

RESULTS

The Chinese SAMI-B demonstrated uni-dimensionality construct, appropriate item fit and functioning; acceptable internal consistency (McDonald's ω = 0.917) and test-retest reliability (intraclass correlation = 0.736). It was significantly correlated with the SAMI (correlation coefficient = 0.765，P < 0.001) and other sleep-related measurements (correlation coefficients = 0.412-0.638, P_s < 0.001). The SAMI-B displayed a comparable area under the curve (0.739, 95% CI: 0.703-0.772) with the SAMI in detecting insomnia symptoms. The optimal cutoff point (18) presented a sensitivity of 0.765 and a specificity of 0.615 in distinguishing individuals with and without insomnia symptoms. After controlling for general information, the differences in the SAMI-B scores between those with or without insomnia symptoms remained significant (OR = 1.16, 95% CI: 1.12-1.20).

CONCLUSION

The SAMI-B may be an effective alternative for clinicians and researchers to screen or track vulnerable individuals for prenatal insomnia symptoms.

Fleur G, Mukona L, Hernandez E, Lamberty N. Peripartum Complications as Risk Factors for Postpartum Psychosis: A Systemic Review

The aim of this research paper is to conduct a systematic review of periparturient complications as risk factors of postpartum psychosis. The investigation of risk factors for maternal psychosis following childbirth is complicated by the risk of confounding by a previous psychiatric history; therefore, this systematic review focuses on labor complications as risk factors among women without any previous psychiatric hospitalizations or diagnoses.

Articles were collected and analyzed from the PubMed, MEDLINE, and Cochrane Review Library databases, as well as Clinicaltrials.gov, in accordance with the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Article abstracts and article titles of the identified publications were screened independently by all seven authors, and studies were selected if they met the following inclusion criteria: patients were diagnosed with postpartum psychosis per the guidelines in the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM-V), DSM-IV or World Health Organization’s ICD-10 Classification of Mental and Behavioral Disorders; patients presented with no prior psychiatric diagnoses, hospitalizations or history; and the study evaluated the association of periparturient complications to first-onset postpartum psychosis, excluding narrative reviews, systematic reviews, or meta-analyses.

Fifteen case-control, cohort, and case report studies, with thousands of patients, were selected to investigate the correlation between perinatal complications and first-onset post-partum psychosis. Obstetric complications during childbirth significantly predisposed for postpartum psychosis in certain individual studies but did not reveal an association in others.

More studies must be implemented to elaborate on this limited scope.

Pre-pandemic sleep reactivity prospectively predicts distress during the COVID-19 pandemic: The protective effect of insomnia treatment

The COVID-19 pandemic is a rare stressor that has precipitated an accompanying mental health crisis. Prospective studies traversing the pandemic's onset can elucidate how pre-existing disease vulnerabilities augured risk for later stress-related morbidity. We examined how pre-pandemic sleep reactivity predicted maladaptive stress reactions and depressive symptoms in response to, and during, the pandemic. This study is a secondary analysis of a randomised controlled trial from 2016 to 2017 comparing digital cognitive behavioural therapy for insomnia (dCBT-I) against sleep education (N = 208). Thus, we also assessed whether dCBT-I moderated the association between pre-pandemic sleep reactivity and pandemic-related distress. Pre-pandemic sleep reactivity was measured at baseline using the Ford Insomnia Response to Stress Test. In April 2020, participants were recontacted to report pandemic-related distress (stress reactions and depression). Controlling for the treatment condition and the degree of COVID-19 impact, higher pre-pandemic sleep reactivity predicted more stress reactions (β = 0.13, ± 0.07 SE, p = 0.045) and depression (β = 0.22, ± 0.07 SE, p = 0.001) during the pandemic. Further, the odds of reporting clinically significant stress reactions and depression during the pandemic were over twice as high in those with high pre-pandemic sleep reactivity. Notably, receiving dCBT-I in 2016-2017 mitigated the relationship between pre-pandemic sleep reactivity and later stress reactions (but not depression). Pre-pandemic sleep reactivity predicted psychological distress 3-4 years later during the COVID-19 pandemic, and dCBT-I attenuated its association with stress reactions, specifically. Sleep reactivity may inform prevention and treatment efforts by identifying individuals at risk of impairment following stressful events.

Insomnia evaluation and treatment during peripartum: a joint position paper from the European Insomnia Network task force "Sleep and Women," the Italian Marcè Society and international experts task force for perinatal mental health

Insomnia symptoms are frequent during peripartum and are considered risk factors for peripartum psychopathology. Assessing and treating insomnia and related conditions of sleep loss during peripartum should be a priority in the clinical practice. The aim of this paper was to conduct a systematic review on insomnia evaluation and treatment during peripartum which may be useful for clinicians. The literature review was carried out between January 2000 and May 2021 on the evaluation and treatment of insomnia during the peripartum period. The PubMed, PsycINFO, and Embase electronic databases were searched for literature published according to the PRISMA guidance with several combinations of search terms "insomnia" and "perinatal period" or "pregnancy" or "post partum" or "lactation" or "breastfeeding" and "evaluation" and "treatment." Based on this search, 136 articles about insomnia evaluation and 335 articles on insomnia treatment were found and we conducted at the end a narrative review. According to the inclusion/exclusion criteria, 41 articles were selected for the evaluation part and 22 on the treatment part, including the most recent meta-analyses and systematic reviews. Evaluation of insomnia during peripartum, as for insomnia patients, may be conducted at least throughout a clinical interview, but specific rating scales are available and may be useful for assessment. Cognitive behavioral therapy for insomnia (CBT-I), as for insomnia patients, should be the preferred treatment choice during peripartum, and it may be useful to also improve mood, anxiety symptoms, and fatigue. Pharmacological treatment may be considered when women who present with severe forms of insomnia symptoms do not respond to nonpharmacologic therapy.

Prevalence of perinatal anxiety in low- and middle-income countries: A systematic review and meta-analysis

BACKGROUND

Perinatal anxiety is associated with adverse outcomes for women and their infants. Women in low- and middle-income countries (LMIC) may be at higher risk of perinatal anxiety. We aimed to systematically review and synthesise the evidence on prevalence of perinatal anxiety in LMIC.

METHOD

We searched MEDLINE, Embase, PscyhINFO, Global Health and Web of Science to identify studies assessing prevalence of perinatal anxiety in LMIC. Studies published since January 2016 were included. Screening and data extraction was conducted independently by two reviewers. Pooled prevalence estimates were calculated using random-effect meta-analyses and sources of heterogeneity explored through subgroup analyses and meta-regression.

RESULTS

We screened 9494 titles and abstracts, reviewed 700 full-texts and included 54 studies in the systematic review and meta-analysis. The pooled prevalence of self-reported anxiety symptoms was 29.2% (95%CI 24.5-34.2; I² 98.7%; 36 studies; n = 28,755) antenatally and 24.4% (95%CI 16.2-33.7; I² 98.5%; 15 studies; n = 6370) postnatally. The prevalence of clinically-diagnosed anxiety disorder was 8.1% (95%CI 4.4-12.8; I² 88.1% 5 studies; n = 1659) antenatally and 16.0% (95% CI 13.5-18.9; n = 113) postnatally.

LIMITATIONS

Our search was limited to studies published since January 2016 in order to update a previous review on this topic.

CONCLUSION

Perinatal anxiety represents a significant burden in LMIC, with one in four women experiencing symptoms during pregnancy or postpartum. Research remains lacking in a significant proportion of LMIC, particularly in the lowest income countries. Further research should guide application of screening tools in clinical settings to identify women with anxiety disorders in order to provide appropriate treatment.

Associated factors of depression in pregnant women in Korea based on the 2019 Korean Community Health Survey: a cross-sectional study

Purpose

Various individual and social factors influence depression in pregnant women. The purpose of this study was to identify the influence of socioeconomic status, health behaviors, and health status on depression of pregnant women in Korea.

Methods

This study analyzed data from the 2019 Korean Community Health Survey conducted from August to October 2019. A structural questionnaire with Patient Health Quetsionnaire-9 (PHQ-9), health behavior, health status, and psychological characteristics was used. The data of 1,096 pregnant women between the ages of 19 and 55 years were analyzed using descriptive statistics, independent-test and chi-square tests, and multiple regression.

Results

The mean score of prenatal depression as measured by the PHQ-9 during pregnancy was 2.35 points out of 0 to 27 points. Low income (B=0.69, p<.001), low-education level (B=0.70, p<.001), skipping breakfast (B=0.34, p=.001), less than 8 hours of sleeping (B=0.26, p=.009), binge drinking during pregnancy (B=0.46, p=.001), and stress (B=1.89, p<.001) were significantly associated with increased depression scores. In contrast, depression scores significantly decreased as subjective health status (B=-0.59, p<.001) and subjective oral health status (B=-.17, p=.003) increased.

Conclusion

Findings support the need for healthcare policies and clinical screening to alleviate prenatal depression, especially for pregnant women with low socioeconomic status, poor health behavior, poor health status, and high stress.

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.

Interaction of Insomnia and Somatization with Post-Traumatic Stress Disorder in Pregnant Women During the COVID-19 Pandemic

INTRODUCTION

Post-traumatic stress disorder (PTSD) has an adverse impact on the emotional health of prenatal maternal women and their offspring. During the Coronavirus Disease 2019 (COVID-19) pandemic, pregnant women are vulnerable to traumatic events and are prone to PTSD symptoms. The aim of the study was to explore the predictive effects of insomnia and somatization on PTSD in pregnant women by utilizing generalized additive model (GAM).

MATERIALS AND METHODS

A total of 1638 pregnant women from three local cities in China underwent online survey on sleep quality, somatization, and PTSD symptoms tested by the Insomnia Severity Index (ISI), the subscale somatization of Symptom Checklist-90 (SCL-90-S) and the Checklist for DSM-5 (PCL-5), respectively.

RESULTS

Insomnia was positively correlated with PTSD symptoms in pregnant women (p = 1.79×10^-5). Interestingly, insomnia and somatization showed a complex non-primary linear interaction in predicting PTSD (p = 2.00×10^-16).

CONCLUSION

Our results suggest that insomnia is a prominent predictor of PTSD symptoms in pregnant women in the context of public emergencies. In addition, the effects of insomnia and somatization on PTSD symptoms are characterized by complex non-primary linear relationships.

Anxiety and depressive symptoms among COVID-19 patients in Jianghan Fangcang Shelter Hospital in Wuhan, China

Fangcang shelter hospitals were established in China during the coronavirus disease 2019 (COVID-19) pandemic as a countermeasure to stop the spread of the disease. To our knowledge, no research has been conducted on mental health problems among patients in Fangcang shelter hospitals. This study aimed to determine the prevalence and major influencing factors of anxiety and depressive symptoms among COVID-19 patients admitted to Fangcang shelter hospitals. From February 23, 2020, to February 26, 2020, we obtained sociodemographic and clinical characteristics information of COVID-19 patients in Jianghan Fangcang Shelter Hospital (Wuhan, China) and assessed their mental health status and sleep quality. Data were obtained with an online questionnaire. The questionnaire consisted of a set of items on demographic characteristics, a set of items on clinical characteristics, the Self-Rating Anxiety Scale, Self-Rating Depression Scale, and Pittsburgh Sleep Quality Index. Three hundred seven COVID-19 patients who were admitted to Jianghan Fangcang Shelter Hospital participated in this study. The prevalence of anxiety and depressive symptoms were 18.6% and 13.4%, respectively. Poor sleep quality and having ≥ two current physical symptoms were independent risk factors for anxiety symptoms. Female sex, having a family member with confirmed COVID-19, and having ≥ two current physical symptoms were independent risk factors for depressive symptoms. Anxiety and depressive symptoms were found to be common among COVID-19 patients in Fangcang Shelter Hospital, with some patients being at high risk.