Maternal insomnia during the COVID-19 pandemic: associations with depression and anxiety

Acute Central Serous Chorioretinopathy Outbreak during the COVID-19 Pandemic: A Pilot Study

Background and Objectives: This study aims to investigate the potential association between the COVID-19 pandemic and a new presentation of central serous chorioretinopathy (CSCR). Materials and Methods: A retrospective analysis was conducted, comparing the incidence of new-onset CSCR cases among ophthalmology patients in a regional medical facility in southern Israel between two distinct periods: the COVID-19 pandemic era in Israel, which occurred from 27 February 2020 to 20 December 2020, and the non-pandemic period from calendar years 2018 to 2021, excluding the specific epidemic phase mentioned. Disease severity was evaluated based on recovery time, visual acuity loss, and central macular thickness via OCT. Results: Over the four-year period, 35 new cases of CSCR were recorded. During the COVID-19 pandemic, 17 new cases (0.005% per population) were identified, compared with 18 new cases (0.002% per population) in the preceding three years. The odds ratio for acute CSCR during the pandemic was 2.83 (95% CI, 1.46-5.50) with a p-value of 0.02. CSCR cases during the pandemic seemed to exhibit worse clinical characteristics, though not statistically significant. Additionally, 22.2% of the COVID-19 pandemic group had confirmed COVID-19 cases, which was statistically significantly higher than the general population's reported cases (6%). Conclusion: The study revealed a statistically significant increase of over 2.5 times in acute CSCR incidence during the COVID-19 pandemic compared with non-pandemic periods. The findings suggest that the pandemic's stressful changes may have unintended consequences on the occurrence of CSCR, highlighting the importance of mental health support and psychoeducation for affected patients.

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.

Insomnia During the Perinatal Period and its Association with Maternal and Infant Psychopathology: A Systematic Review and Meta-Analysis

PURPOSE OF REVIEW

While sleep serves important regulatory functions for mental health, sleep disturbances, in particular insomnia, may contribute to mental disorders. Since insomnia symptoms are frequent during the perinatal period, the aim of this work is to systematically review the potential association between perinatal insomnia and maternal and infant psychopathology.

RECENT FINDINGS

A systematic search was conducted according with PRISMA guidelines, and meta-analytic calculations were conducted. Totally, 34 studies were included and involved 835,021 perinatal women. Four meta-analysis yielded four statistically significant random-effect models. All models show that women with perinatal symptoms of insomnia possess increased odds of developing clinically relevant symptoms of depression OR = 3.69, p = 0.001 and anxiety OR = 2.81; p < 0.001, as well as increased suicidal risk OR = 3.28; p < 0.001, and distress in the newborn OR = 2.80 (P = 0.007). These findings emphasize the role of assessing and addressing insomnia during the perinatal period to mitigate its negative effect on maternal and infant mental health via sleep regulation.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Health anxiety, death anxiety and coronaphobia: Predictors of postpartum depression symptomatology during the COVID-19 pandemic

OBJECTIVE

To determine levels of postpartum depression symptoms and possible relevant predictors, such as death anxiety, health anxiety, and coronavirus-related anxiety.

DESIGN

Cross-sectional web-based survey using quantitative methods.

SETTING

Exclusively online recruiting via social media and unpaid cross-posting conducted during the third wave of the COVID-19 pandemic in Romania.

PARTICIPANTS

Women were eligible to take part in the study if they were mothers over the age of 18 and had a baby aged between 4 weeks - 12 months of age; 1024 women were included in the final sample.

MEASUREMENTS AND FINDINGS

Health anxiety, death anxiety, coronavirus-related anxiety, and postpartum depression symptoms were measured using validated instruments. Current depression symptomatology was 67.6%, 26.7% scored above the cut-off for high health anxiety, 1% for coronavirus-related anxiety, and 62.7% for death anxiety. Significant predictors for depressive symptomatology were breastfeeding, history of depression, family income, number of children, health anxiety, death anxiety, and coronavirus anxiety. Further, hierarchical multiple regression analysis indicated that death anxiety, health anxiety, and coronavirus anxiety predicted postpartum depression symptoms over and above socio-demographic factors.

KEY CONCLUSIONS

Supported by previous studies, our results suggest that postpartum depression symptomatology levels during the COVID-19 pandemic are high and that they are predicted by health and death anxiety, which are also increased during the pandemic.

IMPLICATION FOR PRACTICE

The findings provide information to identify the risk for depression symptoms in postpartum mothers during acute public health situations.

Depression and anxiety in peruvian military personnel during the pandemic context: a cross-sectional study

BACKGROUND

During the COVID-19 pandemic, increased workload and stress could have increased mental health problems (anxiety and depression) in military personnel. However, the number of studies in military members is scarce, especially in regard to mental health. The objective of this study was determine the prevalence and factors associated with depression and anxiety in Peruvian military personnel.

METHODS

We undertook an analytical cross-sectional study. The survey was distributed face to face between November 02 and 09, 2021, during the second wave of the COVID-19 pandemic among the military personnel. We used some instruments to measure depression (Patient Health Questionnaire, PHQ-9), anxiety (Generalized Anxiety Disorder, GAD-7), insomnia (Insomnia Severity Index, ISI), food insecurity (Household Food Insecurity Access Scale, HFIAS), physical activity (International Physical Activity Questionnaires, IPAQ-S), resilience (abbreviated CD-RISC), and fear of COVID-19 scale. The exclusion criteria included those who did not completely fill out the evaluation instruments.

RESULTS

We analyzed the data of 615 military personnel that participated in the survey. Of them, 93.7% were male and the median age was 22 years old. There was a prevalence of 29.9% and 22.0% in regard to depression and anxiety symptoms, respectively. In addition, it was found that being married (PR: 0.63; 95% IC: 0.42-0.94), having a relative with mental health problems (PR: 2.16), having experienced food insecurity (PR: 1.48), insomnia (PR: 2.71), fear of COVID-19 (PR: 1.48), and a high level of resilience (PR: 0.65) were factors associated with depression. In regard to anxiety, the factors associated were working for more than 18 months since the beginning of the COVID-19 pandemic (PR: 0.52), a high level of resilience (PR: 0.50; 95% IC: 0.33-0.77), insomnia (PR: 3.32), fear of COVID-19 (PR: 2.43).

CONCLUSION

We found a prevalence of symptoms of depression and anxiety of 29.9% and 22.0%, respectively. In regard to the factors that attenuate depression, we can mention being married and having resilience; and among the aggravating factors, having a relative with mental health problems, food insecurity, insomnia, and fear of COVID-19. Finally, anxiety increased through working time, insomnia, and fear of COVID-19.

Prevalence and associated factors of depressive and anxiety symptoms among healthcare workers in the post-pandemic era of COVID-19 at a tertiary hospital in Shenzhen, China: A cross-sectional study

Background

Healthcare workers were at high risk of psychological problems during the COVID-19 pandemic, but it remains not well-investigated in the post-pandemic era of COVID-19, with regular epidemic prevention and control embedded in burdened healthcare work. This study aimed to investigate the prevalence and potential risk factors of the symptoms of depression and anxiety among healthcare workers at a tertiary hospital in Shenzhen.

Method

Our cross-sectional study was conducted among 21- to 64-year-old healthcare workers in December 2021 at a tertiary hospital in Shenzhen, using a simple random sampling strategy. A wide range of socio-demographic characteristics, individual information, and psychological condition of the subjects were extracted. Healthcare workers' psychological conditions were tested with the Center for Epidemiologic Studies Depression (CESD-10), General Anxiety Disorder (GAD-7), Insomnia Severity Index (ISI), Work-Family Conflict Scale (WFCS), 10-item Connor-Davidson Resilience Scale (CD-RISC-10), and 17-item of Maslach's Burnout Inventory-Human Services Survey (MBI-HSS-17). Data were collected based on these questionnaires. Descriptive statistics were used to assess the difference between healthcare workers with depressive and anxiety symptoms among different groups. Hierarchical logistic regression analyses were conducted to investigate the association between focused variables and mental health outcomes.

Results

A total of 245 healthcare workers were enrolled. The proportion of depressive symptoms, anxiety symptoms and their co-occurrence were 34.7, 59.6, and 33.1%, respectively. Logistic regression showed that for the three outcomes, no history of receiving psychological help and self-rated good or higher health were protective factors, whereas more severe insomnia and job burnout were risk factors. Junior or lower job title and higher psychological resilience were related to a lower prevalence of depressive symptoms, while relatively longer working hours and larger work-family conflict were positively associated with the anxiety symptoms. Psychological resilience was inversely associated with the co-occurrence of depressive and anxiety symptoms.

Conclusions

Our study revealed a high proportion of psychological problems and proved that several similar factors which were significant during the pandemic were also associated with the symptoms of depression and anxiety among healthcare workers in the post-pandemic era of COVID-19. These results provide scientific evidence for psychological interventions for healthcare workers.

The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis

BACKGROUND

This systematic review aims to explore the prevalence of the impact of the COVID-19, MERS, and SARS pandemics on the mental health of pregnant women.

METHODS

All COVID-19, SARS and MERS studies that evaluated the mental health of pregnant women with/without gynaecological conditions that were reported in English between December 2000 - July 2021 were included. The search criteria were developed based upon the research question using PubMed, Science Direct, Ovid PsycINFO and EMBASE databases. A wide search criterion was used to ensure the inclusion of all pregnant women with existing gynaecological conditions. The Newcastle-Ottawa-Scale was used to assess the risk of bias for all included studies. Random effects model with restricted maximum-likelihood estimation method was applied for the meta-analysis and I-square statistic was used to evaluate heterogeneity across studies. The pooled prevalence rates of symptoms of anxiety, depression, PTSD, stress, and sleep disorders with 95% confidence interval (CI) were computed.

RESULTS

This systematic review identified 217 studies which included 638,889 pregnant women or women who had just given birth. There were no studies reporting the mental health impact due to MERS and SARS. Results showed that women who were pregnant or had just given birth displayed various symptoms of poor mental health including those relating to depression (24.9%), anxiety (32.8%), stress (29.44%), Post Traumatic Stress Disorder (PTSD) (27.93%), and sleep disorders (24.38%) during the COVID-19 pandemic.

DISCUSSION

It is important to note that studies included in this review used a range of outcome measures which does not allow for direct comparisons between findings. Most studies reported self-reported measure of symptoms without clinical diagnoses so conclusions can be made for symptom prevalence rather than of mental illness. The importance of managing mental health during pregnancy and after-delivery improves the quality of life and wellbeing of mothers hence developing an evidence-based approached as part of pandemic preparedness would improve mental health during challenging times.

OTHER

The work presented in this manuscript was not funded by any specific grants. A study protocol was developed and published in PROSPERO (CRD42021235356) to explore several key objectives.

A Comprehensive Review of the Management of Pregnant Women with COVID-19: Useful Information for Obstetricians

Due to the physiological changes of the cardiovascular system and respiratory system in pregnancy, pregnant women are vulnerable to pathogen infection and severe pneumonia. With the increasing incidence of COVID-19 pneumonia, its influence on pregnant women and neonates has attracted more attention. In this review, we collected all relevant articles published in English from September 1, 2019 to June 10, 2021, regarding the epidemiology, clinical presentations, chemical examinations, imaging findings, the timing of delivery and delivery mode, maternal and neonatal complications, medication, and vertical transmission of COVID-19 in pregnancy. It has been reported that compared with non-pregnant females, pregnant women with COVID-19 are more likely to develop into severe type. In particular, the risk of entering the intensive care unit and endotracheal intubation was higher. Chest computed tomography and blood routine examination are useful for the diagnosis of COVID-19 in a short period of time. COVID-19 pneumonia is not an independent indication for terminating the pregnancy, and it is not contraindicated for vaginal delivery. Compared to normal pregnant females, patients with COVID-19 showed an elevated susceptibility of preterm delivery. Multidisciplinary consultation was suggested in the treatment policy of COVID-19 in pregnancy. Currently, there is no evaluation on the safety, efficacy, and immunity of the approved vaccines for mothers and infants. In human placental tissues, the COVID-19 virus has been found by different detection methods. The mechanism by which the virus enters the placental tissue is unclear, which may be related to placental inflammation. The long-term prognosis of pregnant women with COVID-19 remains unclear and requires further detailed investigation.