Distinct trajectories of perinatal depression in Chinese women: application of latent growth mixture modelling

The course of women's emotions from early pregnancy to the postpartum period

BACKGROUND

Most studies on emotions in the perinatal period have focused on psychopathology, identifying groups of women with distinct symptom trajectories, but research on typical, normative changes in emotions across the perinatal period is scarce. This study examines typical patterns of emotions in low-risk, healthy perinatal population.

METHODS

A prospective longitudinal study with 151 participants who completed emotion-related questionnaires (Positive and Negative Affect Schedule, Perceived Stress Scale, Edinburgh Postnatal Depression Scale, State-Trait Anxiety Inventory) six times during pregnancy and twice in the postpartum. Linear mixed effect models were used to test whether maternal emotions underwent significant changes across the perinatal period and whether those changes are affected by child sex and parity. Nonlinear temporal trends were fitted by natural cubic splines.

RESULTS

For all emotions, we observed significant nonlinear changes across the perinatal period. Negative affect and anxiety decreased and positive affect increased significantly from the first to the third trimester. Depressive symptoms showed a U-shaped pattern and perceived stress remained unchanged during pregnancy. Negative affect and anxiety increased significantly from the third trimester to the first postpartum week. After stratifying for parity, the increase in negative emotions with approaching childbirth occurred only in primiparae.

CONCLUSION

Low-risk pregnancy and the early postpartum period are associated with emotional changes which differ depending on parity. Health care providers should inform pregnant women about those common changes to help them develop realistic expectations and enhance their ability to cope with the demands of pregnancy and the early postpartum period.

Evaluating cognitive behavioral therapy as a solution for postnatal depression in economically disadvantaged regions

PURPOSE

Postnatal depression (PND) impacts numerous women after childbirth, leading to various impairments in their lives. Mental health interventions, such as cognitive behavioral therapy (CBT), need further evaluation in low- and middle-income countries (LMICs) where resources may be scarce. This study aimed to assess the effectiveness of CBT in treating PND in women from LMICs, comparing it to standard care.

METHODS

A systematic review and meta-analysis were conducted following the PRISMA Statement 2020 guidelines. Databases such as PubMed, CINAHL Plus, Cochrane Library, and PsycINFO were searched until September 2022. A modified Delphi process was employed to identify relevant studies. The primary outcome was mean depression scores, measured by the Edinburgh postnatal depression scale at baseline and post-intervention.

RESULTS

Out of 487 studies identified, five trials were included, totaling 1056 participants (520 in the intervention group and 536 in the comparator group). At baseline, a minor, insignificant positive effect size was found (Cohen's d = 0.1, 95% CI =  - 0.15, 0.35). Post-CBT, the intervention group showed significant improvements in depression scores (Cohen's d =  - 1.9, 95% CI =  - 3.8, 0). When accounting for the influence of one study, (Ngai et al., Psychother Psychosom 84:294-303, 2015), which held substantial weight in the initial analysis, the effect size was adjusted to d = 0.5, highlighting a lesser but still significant difference.

CONCLUSIONS

CBT appears to be effective in improving PND symptoms among women in LMICs and may be considered a first-line treatment for at-risk mothers, including those who are displaced. However, the significant impact of one study on the results emphasizes the need for more rigorous research. The study also highlights the challenges and limitations of providing psychotherapies across LMICs, emphasizing the need for culturally adapted and contextually appropriate interventions to ensure successful implementation and sustainability of mental health care for postnatal women in these settings.

The magnitude of perinatal depression and associated factors among women in Kutaber woreda public health institution and Boru Meda general hospital, Ethiopia, 2022: a cross-sectional study

Background

Perinatal depression, characterized by the presence of depressive symptoms during pregnancy and/or within the first 12 months postpartum, poses a significant global public health concern. It contributes to a multitude of health risks for mothers, their infants, and their families. Understanding of perinatal depression and its associated factors is crucial for effective prevention and intervention strategies. However, there is a lack of comprehensive research on this topic in Ethiopia. Therefore, this study aims to determine the prevalence and factors contributing to perinatal depression among Ethiopian women.

Methods

An institutional-based cross-sectional study was conducted, involving 552 women receiving perinatal services at Kutaber district health institution and Boru Meda General Hospital. Study participants were selected through systematic random sampling techniques. Perinatal depression was assessed using the Depression, Anxiety, and Stress Scale-21 (DASS-21). The associations between various determinants and perinatal depression were examined using binary logistic regression, and factors with a p-value of less than 0.2 were included in the multiple logistic regression analysis. A p-value less than 0.05 was considered statistically significant.

Results

The prevalence of perinatal depression was found to be 32.2%. The prevalence of perinatal depression was found to be 32.2%. Factors significantly associated with perinatal depression included being a student [adjusted odds ratio (AOR) = 4.364, 95% confidence interval (CI): 1.386, 13.744], experiencing excessive pregnancy-related concerns (AOR = 1.886, 95% CI: 1.176, 3.041), past substance use (AOR = 2.203, 95% CI: 1.149, 4.225), the presence of anxiety symptoms (AOR = 3.671, 95% CI: 2.122, 6.352), experiencing stress symptoms (AOR = 6.397, 95% CI: 3.394-12.055), and daytime sleepiness (AOR = 2.593, 95% CI: 1.558, 4.316).

Conclusion

The findings of this study indicate a relatively high prevalence and valuable factors associated with perinatal depression. It highlights the need for a comprehensive approach to perinatal mental health that takes into account not only the biological aspects of pregnancy but also the psychological, social, and lifestyle factors that can impact a person's mental well-being during this critical period.

Trajectory of prenatal anxiety and depression and its association with fetal growth development

BACKGROUND

The stability of anxiety and depression during pregnancy and the impact on women and offspring has been recognized, yet the distinction of impact between them remains unclear. The aim of this study was to investigate the trajectory of prenatal anxiety and depression and their coexistence, as well as to examine the potential variations in pregnancy outcomes and fetal/neonatal growth development.

METHOD

At baseline (11-13+6 weeks), women were recruited and subsequently monitored in the second (16-20+6 weeks) and third (28-31+6 weeks) trimesters. Anxiety and depression were measured using the Hospital Anxiety and Depression Scale. In the second (16-20+6 weeks), third (28-31+6 weeks), and prenatal period (37-40+6 weeks), fetal growth was assessed by ultrasound scans. The joint trajectory model was used to determine the trajectory groups of depressive/anxiety dominant or coexistence. Comparisons of fetal/neonatal growth between groups were conducted using analysis of covariance and a multilevel model.

RESULT

A total of 457 pregnant women were finally included. Four trajectory groups were identified: none-negative emotion (n = 190, 41.6 %), anxiety dominant (n = 195, 42.6 %), depression dominant (n = 33, 7.2 %), and anxiety and depression coexistence (n = 39, 8.6 %). There were significant differences in the antenatal abdominal circumference (335.44 vs 333.92 vs 330.82 vs 325.13 mm, p = 0.007) of fetuses and the birth length (50.14 vs 50.03 vs 49.91 vs 49.18, p = 0.008) of newborns among four groups, showing a clear decreasing trend. Anxiety and depression coexistence displayed a notable and statistically significant difference when compared to the other groups and had a lower increase of fetal abdominal circumference (β = -8.91, 95%CI: -16.15, -1.67, p = 0.016) after controlling for confounding factors. Anxiety and depression dominant groups found no difference in fetal/neonatal growth.

CONCLUSIONS

The more severe the negative emotional state of mothers, the more restricted their offspring's development, especially in terms of fetal abdominal circumference and birth length. The impact of anxiety or depressive symptoms does not show a pronounced difference. However, what is noteworthy is the tendency and evident impact on offspring development when anxiety and depression coexistence work synergistically. As a result, healthcare professionals should place greater emphasis on addressing anxiety and depression in expectant mothers, particularly among those experiencing anxiety and depression coexisting symptoms.

Exploring Heterogeneity in perinatal depression: a comprehensive review

Perinatal depression (PND) is a significant contributor to maternal morbidity globally. Recognized as a major cause of poor infant development, epidemiological and interventional research on it has increased over the last decade. Recently, studies have pointed out that PND is a heterogeneous condition, with variability in its phenotypes, rather than a homogenous latent entity and a concrete diagnosis, as previously conceptualized in psychometric literature and diagnostic systems. Therefore, it is pertinent that researchers recognize this to progress in elucidating its aetiology and developing efficacious interventions.This systematic review is conducted in accordance with the Meta-analysis of observational studies in epidemiology (MOOSE). It aims to provide an updated and comprehensive account of research on heterogeneity in phenotypes of PND and its implications in research, public health, and clinical practice. It provides a synthesis and quality assessment of studies reporting heterogeneity in PND using cutting-edge statistical techniques and machine learning algorithms. After reporting the phenotypes of PND, based on heterogeneous trajectories and symptom profiles, it also elucidates the risk factors associated with severe forms of PND, followed by robust evidence for adverse child outcomes. Furthermore, recommendations are made to improve public health and clinical practice in screening, diagnosis, and treatment of PND.