Cohort study of the relationship between individual psychotherapy and pregnancy outcomes

Social and cognitive vulnerability to COVID-19-related stress in pregnancy: A case-matched-control study of antenatal mental health

Emerging evidence shows that compared to pre-pandemic norms pregnant women report significant increases in clinical levels of depressive and anxiety symptoms during COVID-19. This pre-registered study examined cognitive and social vulnerability factors for poor mental health in pregnancy during COVID-19. Understanding vulnerability profiles is key to identifying women at risk for deteriorating peripartum mental health. N = 742 pregnant women and N = 742 age and country-matched controls from the COVID-19 Risks Across the Lifespan Study were included. Using a case-match control design allowed us to explore whether the cognitive vulnerability profiles would differ between pregnant and non-pregnant women. The findings showed that COVID-19-related stress was associated with heightened levels of depression and anxiety during pregnancy. Its impact was greatest in women with cognitive (i.e., higher intolerance of uncertainty and tendency to worry) and social (i.e., higher level of self-reported loneliness) vulnerabilities. Importantly, our data show that the mental health impacts of the pandemic were greater in pregnant women compared to women who were not pregnant, especially those with cognitive and social vulnerabilities. The results highlight the urgent need to prioritize mental health care for pregnant women to mitigate the impact of COVID-19-related stress on women's postpartum mental health and their infants' well-being.

Analysis of risk factors progression of preterm delivery using electronic health records

Background

Preterm deliveries have many negative health implications on both mother and child. Identifying the population level factors that increase the risk of preterm deliveries is an important step in the direction of mitigating the impact and reducing the frequency of occurrence of preterm deliveries. The purpose of this work is to identify preterm delivery risk factors and their progression throughout the pregnancy from a large collection of Electronic Health Records (EHR).

Results

The study cohort includes about 60,000 deliveries in the USA with the complete medical history from EHR for diagnoses, medications and procedures. We propose a temporal analysis of risk factors by estimating and comparing risk ratios and variable importance at different time points prior to the delivery event. We selected the following time points before delivery: 0, 12 and 24 week(s) of gestation. We did so by conducting a retrospective cohort study of patient history for a selected set of mothers who delivered preterm and a control group of mothers that delivered full-term. We analyzed the extracted data using logistic regression and random forests models. The results of our analyses showed that the highest risk ratio and variable importance corresponds to history of previous preterm delivery. Other risk factors were identified, some of which are consistent with those that are reported in the literature, others need further investigation.

Conclusions

The comparative analysis of the risk factors at different time points showed that risk factors in the early pregnancy related to patient history and chronic condition, while the risk factors in late pregnancy are specific to the current pregnancy. Our analysis unifies several previously reported studies on preterm risk factors. It also gives important insights on the changes of risk factors in the course of pregnancy. The code used for data analysis will be made available on github.

Lifetime stressor exposure, systemic inflammation during pregnancy, and preterm birth among Black American women

Although Black American mothers and infants are at higher risk for morbidity and mortality than their White counterparts, the biological mechanisms underlying these phenomena remain largely unknown. To investigate the role that lifetime stressor exposure, perceived stressor severity, and systemic inflammatory markers might play, we studied how these factors were interrelated in 92 pregnant Black American women. We also compared inflammatory marker levels for women who did versus did not go on to give birth preterm. During the early third trimester, women completed the Stress and Adversity Inventory for Adults to assess the stressors they experienced over their lifetime. Women also provided blood samples for plasma interleukin (IL)-6, IL-8, IL-1β, and tumor necrosis factor (TNF)-α quantification. Preterm births were identified by medical record review. Controlling for relevant covariates, there were significant positive associations between average levels of both overall and acute perceived stressor severity and plasma IL-1β levels. Controlling for perceived stress at assessment and exposure to racial discrimination did not affect these results. Mediation models revealed that exposure to more chronic stressors was related to higher plasma IL-1β levels, as mediated by higher average levels of overall perceived stressor severity. Exposure to fewer acute stressors was related to higher plasma IL-1β levels, as mediated by higher average levels of acute perceived stressor severity. Finally, women who went on to give birth preterm had higher levels of plasma IL-6. These data thus highlight the potential importance of assessing and addressing lifetime stressor exposure among mothers before and during maternal-infant care.

A Study on the Assessment of Impact of COVID-19 Pandemic on Depression: An Observational Study among the Pregnant Women

Background

COVID-19 pandemic has affected the pregnant women both physically and mentally. This study is conducted to assess, the impact on COVID-19 pandemic on psychiatric symptoms among pregnancy and to compare them with non-pregnant women.

Methods

An observational study was conducted at Govt. Medical College & Hospital, Ooty (Udhagamandalam). A validated Edinburgh Depression Scale was used to screen the mental health status. Categorical variables were analysed using Chi-square test and continuous variables by independent t test. A Pearson's correlation analysis was performed to check the association of Edinburgh postnatal depression scores with the demographic characteristics. Paired t test was conducted to find the difference in EPDS scores at baseline and study conclusion visit. Regression analysis was conducted to predict the outcome variables.

Results

The Edinburgh Depression scores were significantly higher in the pregnant women group, (12.48 ± 3.753 vs. 8.00 ± 2.436; p value = 0.001; 95% CI 3.340-5.627), when compared to non-pregnant women (12.90 ± 3.731 vs. 9.20 ± 2.973; p value = 0.001; 95% CI 2.480-4.920). The Edinburgh Depression scores at the study conclusion visit was statistically significant, (11.05 ± 3.839 vs. 10.24 ± 3.872; p value = 0.008; 95% CI -1.40 to -0.213). Education, income, duration of marriage, body mass index, and suicidal ideation are some of the predictors identified in this study to cause depression among pregnant women.

Conclusion

The findings of the study indicate a clinically significant increase of depressive symptoms among pregnant women. It is recommended to include routine psychological screenings and interventions during pregnancy.

Depression, stress, anxiety and their predictors in Iranian pregnant women during the outbreak of COVID-19

Background

Pregnancy as a sensitive period of a woman’s life can be affected by various psychological factors that can have adverse effects on the woman, her fetus and future baby. Since COVID-19 is a new phenomenon with limited information available, it may have adverse psychological effects on pregnant women. Therefore, this study was conducted to determine the status of depression, stress, anxiety and their predictors in Iranian pregnant women during the outbreak of COVID-19.

Methods

This descriptive-analytical cross-sectional study was performed on 205 pregnant women covered by Tabriz health centers in Iran. The sampling method used was cluster sampling. The data collection tool was the socio-demographic characteristics questionnaire and the DASS-21 (Depression, Anxiety and Stress Scale-21), which were completed online by pregnant women. The general linear model was used to determine the predictive factors of depression, anxiety and stress.

Results

The mean (SD) score of depression, stress, and anxiety were 3.91 (3.9), 6.22 (4.25), and 3.79 (3.39), respectively; the score range of 0 to 21. Depression, stress, and anxiety symptoms were observed in 32.7, 32.7, and 43.9% of the participants, respectively, with varying degrees from mild to very severe. Based on the adjusted general linear model, variables of education level, spouse’s job and marital life satisfaction were the predictors of depressive symptoms. Variables of spouse’s education level, spouse’s support, marital life satisfaction and the number of pregnancies were the predictive factors of anxiety symptoms and the variables of spouse’s education level, household income sufficiency, spouse’s support and marital life satisfaction were predictors of stress symptoms.

Conclusions

Considering the role of marital life satisfaction, high level of spouse’s education and income in reducing symptoms of stress, anxiety, and depression in pregnant women in critical situations such as the prevalence of COVID-19, it seems that using strategies to promote marital life satisfaction and socio-economic status can play an effective role in controlling anxiety and reducing stress and depression in pregnant women.