Trajectories of antenatal depression and adverse pregnancy outcomes

Association of trajectories and cumulative exposure of antenatal depression with high birth weight

BACKGROUND

Inconsistent associations between antenatal depression and fetal birth weight were reported previously, and little is known about the dynamic changes and long-term cumulative effect of antenatal depression during pregnancy.

METHODS

Participants were from the Tongji-Huaxi-Shuangliu Birth Cohort. Depressive symptoms were measured using the Edinburgh Postnatal Depression Scale in early, middle, and late pregnancy respectively. Trajectories of antenatal depression were assessed using the latent class mixed model. The percentage of days with depression (PDD) and frequency of antenatal depression were measured to assess the cumulative exposure. Multivariable logistic regression models were used to evaluate the associations of antenatal depression with macrosomia and large for gestational age (LGA).

RESULTS

We identified four distinct trajectories, including the low stable group (n = 1,327, 27.99 %), the moderate stable group (n = 2,610, 55.05 %), the peak group (n = 407, 8.58 %), and the valley group (n = 397, 8.37 %). Compared with the low stable group, the valley group showed a higher risk of macrosomia (OR, 1.98; 95 % CI, 1.17, 3.38) and LGA (OR, 1.44; 95 % CI, 1.002, 2.09); the peak group showed a higher risk of LGA (OR, 1.52; 95 % CI, 1.07, 2.16), but the association was not significant for macrosomia (OR, 1.47; 95 % CI, 0.85, 2.55). Consistently, cumulative antenatal depression was also positively associated with the risks of macrosomia and LGA.

LIMITATION

The antenatal depression was self-reported using a screening scale and information bias could not be ruled out.

CONCLUSION

Certain trajectories and cumulative exposure of antenatal depression were associated with higher risks of high birth weight.

Maternal major depression during early pregnancy is associated with impaired child executive functioning at 4.5 years of age

BACKGROUND

Maternal depression is a serious condition that affects up to 1 in 7 pregnancies. Despite evidence linking maternal depression to pregnancy complications and adverse fetal outcomes, there remain large gaps in its identification and treatment. More work is needed to define the specific timing and severity of depression that most urgently requires intervention, where feasible, to protect maternal health and the developing fetus.

OBJECTIVE

This study aimed to examine whether the timing and severity of maternal depression and/or anxiety during pregnancy affect child executive functioning at age 4.5 years. Executive functioning in the preschool years is a strong predictor of both school readiness and long-term quality of life.

STUDY DESIGN

This longitudinal observational pregnancy cohort study included a sample of 323 mother-child dyads taking part in the Ontario Birth Study, an open pregnancy cohort in Toronto, Ontario, Canada. Maternal symptoms of depression and anxiety were assessed at 12 to 16 and 28 to 32 weeks of gestation and at the time of child testing at age 4.5 years using the 4-item Patient Health Questionnaire. Child executive functioning was measured during a home visit using standardized computerized administration of the Flanker test (a measure of attention) and the Dimensional Change Card Sort (a measure of cognitive flexibility). Stepwise linear regressions, controlling for possible confounding variables, were used to assess the predictive value of continuous measures of maternal depression and/or anxiety symptoms at each assessment time on the Flanker test and Dimensional Change Card Sort. Posthoc general linear models were used to assess whether maternal depression severity categories (no symptom, mild symptoms, or probable major depressive disorder) were helpful in identifying children at risk.

RESULTS

Across all children, after controlling for potential confounds, greater maternal depressive symptoms at weeks 12 to 16 weeks of gestation predicted worse performance on both the Flanker test (ΔR2=0.058; P<.001) and the Dimensional Change Card Sort (ΔR2=0.017; P=.018). Posthoc general linear modeling further demonstrated that the children of mothers meeting the screening criteria for major depression in early pregnancy scored 11.3% lower on the Flanker test and 9.8% lower on the Dimensional Change Card Sort than the children of mothers without maternal depressive symptoms in early pregnancy. Mild depressive symptoms had no significant effect on executive function scores. There was no significant effect of anxiety symptoms or maternal antidepressant use in early pregnancy or pandemic conditions or maternal symptoms in later pregnancy or at the time of child testing on either the Flanker or Dimensional Change Card Sort results.

CONCLUSION

This study demonstrated that fetal exposure to maternal major depression, but not milder forms of depression, at 12 to 16 weeks of gestation is associated with impaired executive functioning in the preschool years. Child executive functioning is crucial for school readiness and predicts long-term quality of life. This emphasizes an urgent need to improve the recognition and treatment of maternal major depression, particularly in early pregnancy, to limit its negative effects on the patient and on child cognitive development.

The Correlation between Depression during Pregnancy and Metabolic Syndrome

BACKGROUND

In recent years, the incidence of depression during pregnancy has gradually increased, and the disorder of lipid metabolism in patients with depression is an important research direction. Therefore, this study aimed to explore the correlation between depression during pregnancy and metabolic syndrome (MS).

METHODS

A total of 113 pregnant women diagnosed as depression during pregnancy from November 2019 to January 2022 were selected as the observation group. After excluding 3 cases, 110 cases were finally included. And 102 pregnant women who were not diagnosed as depression during pregnancy in the same period were selected as the control group. After excluding 2 cases, 100 cases were finally included for comparative study. The levels of various parameters, including serum triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C), fasting plasma glucose (FPG), C-reactive protein (CRP), systolic blood pressure (SBP), and diastolic blood pressure (DBP) were compared between the two groups. Furthermore, the Edinburgh Postnatal Depression Scale (EPDS) was used to evaluate the depression scores of postpartum women. Additionally, the correlation between EPDS scores and clinical indexes was assessed in patients with depression during pregnancy.

RESULTS

We observed that the body weight, EPDS score, the proportion of hyperglycemia, hypertension, and dyslipidemia were significantly higher in the observation group compared to the control group (p < 0.001). Furthermore, the observation group exhibited significantly higher levels of TG, TC, HDL-C, LDL-C, FPG, CRP, SBP, and DBP than the control group (p < 0.001). Pearson linear correlation analysis revealed that TG, TC, HDL-C, LDL-C, FPG, CRP, SBP, and DBP levels were positively correlated with EPDS scores (p < 0.001).

CONCLUSION

This study indicates a specific correlation between MS and depression during pregnancy, and MS-related indicators are positively correlated with EPDS scores among these individuals.

Depression in pregnant Hispanic women: Risk factors, pregnancy outcomes and plasma cytokines

Background

Maternal depression is considered a major contributor to morbidity and mortality in pregnancy. A population at risk are U.S. born or immigrant Hispanic women, and few prenatal depression or immune studies have focused on this population.

Objective

The research questions for the study were 1) What are the occurrences, risk factors and outcomes associated with depression in Hispanic pregnant women in the United States and 2) What are the associations of plasma immune cytokines and prenatal depression in this population.

Study design

Women of self-reported Hispanic ethnicity were born in the continental United States or foreign-born. Screening of potential participants (n = 690) at a first prenatal clinic visit consisted of antibody testing for Toxoplasma gondii antibodies in a larger grant, and only the women with antibody levels below the cutoff for T. gondii positivity (N = 536) were included in the present study. All participants completed a health and demographic questionnaire, the Edinburgh Postpartum Depression (EPDS) scale, the Perceived Stress Scale (PSS), and the Medical Outcomes Study Social Support (MOS) scale. We surveyed electronic health records (EHR) for risk factors and adverse pregnancy outcomes in the sample. We further measured physical and mental health and seven plasma immune cytokines at four study visits during pregnancy in a longitudinal subsample (N = 128).

Results

The frequency of EPDS scores of 10 (depression risk) or above was 18.6 % at the time of enrollment. Socioeconomic factors such as less education, greater unemployment, and U.S. born nativity were associated with greater depression risk, but these relationships became insignificant when we corrected for false discovery rate. Depression scores were not associated with adverse birth and pregnancy outcomes. The inflammatory cytokine TNF-α was significantly higher across pregnancy in women with depression risk (p < 0.03). Other inflammatory cytokines were higher in depressed women, but only at one time point in mid-pregnancy.

Conclusions

Prenatal depression occurs in early pregnancy and then declines in Hispanic women. The frequency of depression and stress were higher in U.S. born compared to immigrant Hispanic women. There was an elevation in plasma levels of TNF-α through the pregnancy in depressed women, and elevations in other cytokines, at midpregnancy. The adverse pregnancy outcomes, including preterm delivery, known to be associated with prenatal depression were not present in this cohort.

Maternal depressive symptom trajectories and associations with child feeding

BACKGROUND

Responsive feeding, when caregivers attend to children's signals of hunger and satiation and respond in an emotionally supportive and developmentally appropriate way, is associated with the development of healthy eating behaviors, improved diet quality, and healthy weight status for children. However, gaps in the literature remain on how factors, such as maternal depressive symptoms and child temperament, influence feeding interactions.

METHODS

This longitudinal secondary data analysis explored the association between maternal depressive symptom trajectory and child temperament with maternal feeding practices in women with obesity who participated in a prenatal lifestyle intervention trial. Mothers self-reported depressive symptoms at baseline, 35 weeks gestation, and 6, 12, and 18 months postpartum. At 18- and 24-months postpartum, mothers completed self-reported assessments of feeding practices and child temperament and completed in-home video-recorded meals with their child, coded using the Responsiveness to Child Feeding Cues Scale. We used group-based trajectory modeling to identify distinct trajectories of depressive symptoms and generalized regressions to assess the association between symptom trajectory group and feeding. We also explored interactions between depressive symptoms and child temperament.

RESULTS

Three distinct trajectories of depressive symptoms were identified: No-Minimal and Decreasing, Mild-Moderate and Stable, and Moderate-Severe and Stable. At 18-months, when compared to the No-Minimal and Decreasing group, membership in the Moderate-Severe and Stable group was associated with higher observed responsiveness to child satiation cues ([Formula: see text] =2.3, 95%CI = 0.2, 4.4) and lower self-reported pressure to eat ([Formula: see text]=-0.4, 95%CI= -0.7, 0.0). When compared to the No-Minimal and Decreasing group, membership in the Mild-Moderate and Stable group was associated with higher self-reported restriction ([Formula: see text] =0.4, 95%CI = 0.0,0.7). The associations between trajectory group membership and feeding practices did not reach statistical significance at 24 months. Associations between depressive symptoms and restriction were moderated by child effortful control at 18 months [Formula: see text]) and surgency at 24 months [Formula: see text]).

CONCLUSION

A Moderate-Severe and Stable depressive symptom trajectory was associated with more responsive feeding practices and a Mild-Moderate and Stable trajectory was associated with higher restrictive feeding. Preliminary evidence suggests that depressive symptoms impact mothers' ability to match their use of restriction to the temperamental needs of their child.

Impact of prenatal maternal depression on gestational length: post hoc analysis of a randomized clinical trial

Background

Shortened gestation is a leading cause of childhood morbidity and mortality with lifelong consequences for health. There is a need for public health initiatives on increasing gestational age at birth. Prenatal maternal depression is a pervasive health problem robustly linked via correlational and epidemiological studies to shortened gestational length. This proof-of-concept study tests the impact of reducing prenatal maternal depression on gestational length with analysis of a randomized clinical trial (RCT).

Methods

Participants included 226 pregnant individuals enrolled into an RCT and assigned to receive either interpersonal psychotherapy (IPT) or enhanced usual care (EUC). Recruitment began in July 2017 and participants were enrolled August 10, 2017 to September, 8 2021. Depression diagnosis (Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition; DSM 5) and symptoms (Edinburgh Postnatal Depression Scale and Symptom Checklist) were evaluated at baseline and longitudinally throughout gestation to characterize depression trajectories. Gestational dating was collected based on current guidelines via medical records. The primary outcome was gestational age at birth measured dichotomously (≥39 gestational weeks) and the secondary outcome was gestational age at birth measured continuously. Posthoc analyses were performed to test the effect of reducing prenatal maternal depression on gestational length. This trial is registered with ClinicalTrials.gov (NCT03011801).

Findings

Steeper decreases in depression trajectories across gestation predicted later gestational age at birth, specifically an increase in the number of full-term babies born ≥39 gestational weeks (EPDS linear slopes: OR = 1.54, 95% CI 1.10-2.16; and SCL-20 linear slopes: OR = 1.67, 95% CI 1.16-2.42). Causal mediation analyses supported the hypothesis that participants assigned to IPT experienced greater reductions in depression symptom trajectories, which in turn, contributed to longer gestation. Supporting mediation, the natural indirect effect (NIE) showed that reduced depression trajectories resulting from intervention were associated with birth ≥39 gestational weeks (EPDS, OR = 1.65, 95% CI 1.02-2.66; SCL-20, OR = 1.85, 95% CI 1.16-2.97).

Interpretation

We used a RCT design and found that reducing maternal depression across pregnancy was associated with lengthened gestation.

Funding

This research was supported by the NIH (R01 HL155744, R01 MH109662, R21 MH124026, P50 MH096889).

When pregnancy and pandemic coincide: changes in stress and anxiety over the course of pregnancy

BACKGROUND

Pregnant women experienced high levels of perceived stress and anxiety at the onset of the COVID-19 pandemic. However, the course of stress and anxiety in individual pregnant women during the pandemic is unknown.

METHODS

Participants were 1,087 women ≤20 weeks pregnant in April-May 2020 (T1) at recruitment into the Stony Brook COVID-19 Pregnancy Experiences (SB-COPE) Study, with additional assessments in July-August 2020 (T2) and October 2020 (T3). Growth mixture models conditioned on covariates were used to identify patterns of change over time in pandemic-related stress (originating from feeling unprepared for birth and fearing perinatal infection), pregnancy-specific stress, and anxiety symptoms.

RESULTS

A uniform pattern of change (i.e. one-class solution) in stress perceptions was observed over time. Participants showed the same functional form of decreases in all three types of stress perceptions over the course of their pregnancy and as the pandemic persisted. Initial level of stress did not predict change over time. Anxiety symptoms had a two-class solution in which 25% of participants had high and convex patterns of anxiety, and 75% had low levels with concave patterns.

DISCUSSION

Stress perceptions and anxiety patterns of change over the course of pregnancy during the COVID-19 pandemic were different. Therefore, to evaluate the well-being of pregnant women during a global health crisis, it is important to assess both stress perceptions and emotional stress responses (i.e. anxiety). Screening for anxiety symptoms in early pregnancy would be valuable as symptoms may not spontaneously decrease even when stressful conditions improve.

Antenatal depression among pregnant mothers in Afghanistan: A cross-sectional study

BACKGROUND

Approximately one in five pregnant women experience antenatal depression globally. The purpose of the present study was to estimate the prevalence of antenatal depression and explore its relationship between various demographic variables, recent sexual engagement, and recent adverse life events among pregnant Afghan women.

METHODS

A cross-sectional survey study was carried out between January, 2023 and April 2023 among 460 women aged 15-45 years who were recruited using convenience sampling from Herat province (Afghanistan). Logistic regression models were utilized to explore the relationship between antenatal depression and socio-demographic characteristics among the participants.

RESULTS

The prevalence of antenatal depression symptoms was 78.5%. Multiple regression analysis indicated that antenatal depression was significantly associated with (i) being aged 30-45 years (AOR: 4.216, 95% CI: 1.868-9.515, p = .001), (ii) being of low economic status (AOR:2.102, 95% CI: 1.051-4.202, p = .036), (iii) not being employed (AOR: 2.445, 95% CI:1.189-5.025, p = .015), (iv) not having had sex during the past seven days (AOR: 2.335, 95% CI: 1.427-3.822, p = .001), and (v) not experiencing a traumatic event during the past month (AOR:0.263, 95% CI: 0.139-0.495, p < .001).

CONCLUSION

The present study provides insight into the factors associated with the high prevalence of antenatal depression among pregnant Afghan women (e.g., demographic variables, recent adverse life events, and recent sexual engagement). It highlights the urgency of addressing antenatal depression in Afghanistan and provides a foundation for future research and interventions aimed at improving the mental health and well-being of pregnant women in the Afghan context.

Short-term exposures to PM2.5, PM2.5 chemical components, and antenatal depression: Exploring the mediating roles of gut microbiota and fecal short-chain fatty acids

BACKGROUND

PM2.5 and its chemical components increase health risks and are associated with depression and gut microbiota. However, there is still limited evidence on whether gut microbiota and short-chain fatty acids (SCFAs) mediate the association between PM2.5, PM2.5 chemical components, and antenatal depression. The purpose of this study was to investigate the mediating role of maternal gut microbiota in correlations between short-term exposure to PM2.5, short-term exposure to PM2.5 chemical components, and antenatal depression.

METHODS

Demographic information and stool samples were collected from 75 pregnant women in their third trimester. Their exposure to PM2.5 and PM2.5 chemical components was measured. Participants were divided into the non-antenatal depression group or the antenatal depression group according to the cut-off of 10 points on the Edinburgh Postnatal Depression Scale (EPDS). The gut microbiota were analyzed using the 16 S rRNA-V3/V4 gene sequence, and the concentration of PM2.5 and its chemical components was calculated using the Tracking Air Pollution in China (TAP) database. Gas chromatography-mass spectrometry was used to analyze SCFAs in stool samples. In order to assess the mediating effects of gut microbiota and SCFAs, mediation models were utilized.

RESULTS

There were significant differences between gut microbial composition and SCFAs concentrations between the non-antenatal depression group and the antenatal depression group. PM2.5 and its chemical components were positively associated with EPDS scores and negatively associated with genera Enterococcus and Enterobacter. Genera Candidatus_Soleaferrea (β = -7.21, 95%CI -11.00 to -3.43, q = 0.01) and Enterococcus (β = -2.37, 95%CI -3.87 to -0.87, q = 0.02) were negatively associated with EPDS scores, indicating their potential protective effects against antenatal depression. There was no significant association between SCFAs and EPDS scores. The mediating role of Enterococcus between different lagged periods of PM2.5, PM2.5 chemical component exposure, and antenatal depression was revealed. For instance, Enterococcus explained 29.23% (95%CI 2.16-87.13%, p = 0.04) of associations between PM2.5 exposure level at the day of sampling (lag 0) and EPDS scores.

CONCLUSION

Our study highlights that Enterococcus may mediate the associations between PM2.5, PM2.5 chemical components, and antenatal depression. The mediating mechanism through which the gut microbiota influences PM2.5-induced depression in pregnant women still needs to be further studied.

Association between trajectories of maternal depressive symptoms and length of hospital stay, hospitalization costs, and adverse maternal and infantile outcomes: A longitudinal observational study

This study aimed to determine the trajectories of perinatal depression and their relationship with length of hospital stay (LOS), hospitalization costs, and adverse maternal and infantile outcomes. This longitudinal observational study included 525 participants. Perinatal depressive symptoms were assessed at four waves (from the first trimester to the postpartum period). LOS, hospitalization costs, and adverse maternal (sleep, fatigue, anxiety, perceived stress, and memory problems) and infantile outcomes of participants were obtained from medical records and self-reported questionnaires. Trajectories of perinatal depressive symptoms were explored with latent class growth analysis. Associations between trajectories and adverse maternal and infant outcomes were explored with multiple linear regression and binary logistic regression models. The participants' average age was 29.6 ± 3.9 years. Five heterogeneous developmental trajectories of perinatal depressive symptoms were identified as follows: high-level (7.05%), moderate-increasing (12%), remission (15.05%), moderate-level (37.14%), and low-level (28.76%). The average LOS was 5.78 ± 2.13 days, and the average hospitalization costs were 12,695.27 ± 5457.51 yuan. Compared with the trajectory of low-level depressive symptoms, the LOS, hospitalization costs, and likelihood of adverse outcomes of women with high-level and moderate-increasing depressive symptom trajectories increased. The findings capture the heterogeneity of perinatal depression in Chinese women. Women in the moderate-increasing and high-level trajectory groups had longer LOS, more hospitalization costs, and poor birth outcomes. Elucidating the trajectories of perinatal depression and their relationship with maternal and infant health outcomes provides important insights into the development of person-centred care planning for women during pregnancy and postpartum.

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.

Perceived Stress and Depressive Symptoms Are Associated With Emotional Eating but Not Nutritional Intake During Pregnancy: A Prospective Cohort Study

INTRODUCTION

Pregnancy is a major life event during which women may experience increased psychological distress and changes in eating behaviors. However, few studies have investigated the influence of psychological distress on pregnant women's eating behaviors. The primary objective of this prospective study was to examine the associations of changes in perceived stress and depressive symptoms with emotional eating and nutritional intake during pregnancy. In addition, we examined the direct and moderating effects of perceived social support.

METHODS

Participants were racially diverse pregnant women (14-42 years) from 4 clinical sites in Detroit, MI, and Nashville, TN (N = 678). We used multiple linear and logistic regression models to determine if changes in stress and depressive symptoms across pregnancy were associated with changes in emotional eating and nutritional intake. We examined residualized change in stress and depressive symptoms from second to third trimester of pregnancy; positive residualized change scores indicated increased stress and depressive symptoms.

RESULTS

Participants showed significant improvement in emotional eating and nutritional intake from second to third trimester of pregnancy (P < .001 for both). At second trimester, higher depressive symptoms were associated with a greater likelihood of emotional eating (P < .001) and worse nutritional intake (P = .044) at third trimester. Increased stress and depressive symptoms during pregnancy were both associated with increased risk, whereas increased perceived social support reduced risk of emotional eating at third trimester (stress: adjusted odds ratio [AOR], 1.17; 95% CI, 1.08-1.26; depressive symptoms: AOR, 1.05; 95% CI, 1.01-1.08; social support: AOR, 0.93; 95% CI, 0.88-0.99). None were associated with changes in nutritional intake. Perceived social support did not show any moderating effects.

DISCUSSION

Increased psychological distress during pregnancy may increase emotional eating. Efforts to promote healthy eating behaviors among pregnant women should consider and address mental health.

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.

Association between psychological factors and molar-incisor hypomineralization: A cross-sectional study

BACKGROUND

Molar-incisor hypomineralization (MIH) is a developmental enamel defect characterized by opacities from white to brownish color. A suspected multifactorial etiology has been suggested, whereas psychological factors during pregnancy have only been limitedly analyzed.

AIM

We assessed the association between stress, depression, and anxiety in pregnancy and the presence of MIH in children at a later age.

DESIGN

Using a cross-sectional Web-based questionnaire, we included 384 mothers who had children aged 6 and 12 years from Pasto, Colombia. Data were collected between October 2021 and March 2022. Sociodemographic variables; maternal and child factors related to prenatal, natal, or postnatal problems; and psychological factors such as stress and symptoms of anxiety and depression in pregnancy were inquired. Utilizing photographs depicting MIH lesions, mothers assessed their child's MIH status. A directed acyclic graph (DAG) analysis was performed to create causal assumptions, and logistic regression models were estimated to evaluate these assumptions. p-value was set at p < .05.

RESULTS

The prevalence of MIH was 33.3%; 12.8% of the participants exhibited hypomineralization in both molars and incisors. DAG analysis and logistic regression models determined that MIH (present or not) was associated with symptoms of maternal depression (ORadj  = 3.26, 95% CI: 1.92-5.52, p < .001), and MIH (both molars and incisors) was associated with symptoms of maternal anxiety (ORadj  = 3.49, 95% CI: 1.80-6.76, p < .001).

CONCLUSION

Psychological factors, among others, were significantly associated with the presence of MIH.

Risk factors of positive depression screening during the third trimester of pregnancy in a Chinese tertiary hospital: a cross-sectional study

OBJECTIVE

Pregnant women experience enormous psychological pressure, particularly during the late trimester. Symptoms of depression in late pregnancy may persist postpartum, increasing the incidence of postpartum depression. This study is aimed to investigate the factors influencing depressive symptoms among pregnant women in their third trimester at a Chinese tertiary hospital and provide information for effective intervention.

METHODS

Pregnant women in their third trimester who visited the Ningbo Women and Children's Hospital between January 1, 2020 and June 30, 2022 participated in this study. A score of ≥ 13 on the Edinburgh Postnatal Depression Scale (EPDS) was considered as positive for depressive symptom. Potential influencing factors were examined by using an online questionnaire and analyzed using multivariate logistic regression.

RESULTS

A total of 1196 participants were recruited. The mean EPDS score was 7.12 ± 4.22. The positive screening rate for depressive symptom was 9.9%. Univariate analysis showed that living with partner, annual family income, planned pregnancy, sleep quality, and partner's drinking habits were related to positive screening for depression(P < 0.05). Furthermore, multivariate logistic regression analysis showed that living away from the partner (odds ratio [OR]: 2.054, 95% confidence interval [CI]: 1.094-3.696, P = 0.02), annual family income < 150,000 Chinese Yuan (CNY; OR: 1.762, 95% CI: 1.170-2.678, P = 0.007), poor sleep quality (OR: 4.123, 95% CI: 2.764-6.163, P < 0.001), and partner's frequent drinking habit (OR: 2.227, 95% CI: 1.129-4.323, P = 0.019) were independent influencing factors for positive depression screening (P < 0.05).

CONCLUSION

Family's economic condition, sleep quality, living with partner, and partner's drinking habits were related to positive depression screening in late pregnancy. Pregnant women with these risk factors should be given more attention and supported to avoid developing depression.

Can we more precisely classify exposure to antenatal depression and anxiety in multivariable prediction models of pregnancy and birth outcomes: a population-based cohort study

BACKGROUND

Depression and anxiety are highly prevalent within the perinatal period and have been associated with myriad adverse pregnancy and birth outcomes. In this study, we sought to investigate whether population-based data can be used to build complex, longitudinal mental health histories that improve our ability to predict adverse pregnancy and birth outcomes.

METHODS

Using population-based, administrative datasets, we examined individual-level mental health services use of all birth parents who delivered a live infant in British Columbia, Canada between April 1, 2000, and December 31, 2013, and who were registered with the provincial Medical Services Plan for over 100 days per year from 10-years preconception to 1-year postpartum. We operationalized variables to proxy severity, persistence, and frequency of depression/anxiety from preconception through pregnancy, then constructed predictive regression models for postpartum depression/anxiety and preterm birth.

RESULTS

Predictive modeling of postpartum depression/anxiety and preterm birth revealed better predictions and stronger performance with inclusion of a more detailed preconception mental health history. Incorporating dichotomous indicators for depression/anxiety across preconception markedly improved predictive power and model fit. Our detailed measures of mental health service use predicted postpartum depression/anxiety much better than preterm birth. Variables characterizing use of outpatient psychiatry care and outpatient visit frequency within the first five years preconception were most useful in predicting postpartum depression/anxiety and preterm birth, respectively.

CONCLUSION

We report a feasible method for developing and applying more nuanced definitions of depression/anxiety within population-based data. By accounting for differing profiles of mental health treatment, mental health history, and current mental health, we can better control for severity of underlying conditions and thus better understand more complex associations between antenatal mental health and adverse outcomes.

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.

An investigation of knowledge and attitudes towards antidepressants: a cross-sectional survey of Jordan's six medical schools

OBJECTIVE

Depression is Jordan's most ravaging mental illness. Despite the growth of antidepressant use, only a handful of studies examine the factors affecting antidepressant knowledge among healthcare workers or medical students. Therefore, we aimed to explore the knowledge and attitudes towards antidepressants across Jordan's six medical schools.

METHODS

Using a cross-sectional design, we investigated the knowledge and attitudes towards antidepressants through the Drug Attitude Inventory and a literature-validated knowledge domain. Clinical students from Jordan's six medical schools were recruited. Differences in knowledge and attitudes scores were examined by year of study, medical school among other factors. A multivariate linear regression model was utilized to assess predictors of knowledge.

RESULTS

We included a total of 1,234 participants representing Jordan's six major schools of medicine. About 14.9% of participants had a personal history of antidepressant use while 20.5% reported family history of psychiatric disease. The majority of students demonstrated favorable attitudes towards antidepressants (74.1%). Students demonstrated an average understanding of antidepressants' mechanism of action, side effects, but not indications in special populations. Senior medical students, higher GPA, higher family income, personal history of antidepressants, and family history of psychiatric illnesses were associated with significantly higher knowledge scores (all p-values < 0.001). In addition to attitudes scores, the aforementioned were positive predictors of knowledge scores in the multivariate model.

CONCLUSION

Medical students' knowledge towards antidepressants leaves room for significant improvement. Yet, it is evident that significant differences for both attitudes and knowledge exist across medical schools which may indicate a gap in either training or teaching methodology.

Trajectories of depressive symptoms during pregnancy and risk of premature birth: A multicenter and prospective cohort study

Previous studies only assessed the association between depressive symptoms and risk of preterm birth (PTB) at a time-point during pregnancy, resulting in inconsistent or contradictory results. Therefore, we aimed to explore the associations between the trajectories of depressive symptoms during pregnancy and risk of PTB. In total, 7732 pregnant women were included in 24 hospitals from 15 provinces of China. The Edinburgh Postpartum Depression Scale (EPDS) was used to evaluate depressive symptoms in the first, second, and third trimesters. Associations between depressive symptoms and risk of PTB were performed by group-based trajectory modeling (GBTM), propensity score-based inverse probability of treatment weighting (IPTW), and logistic regression. GBTM identified five trajectories: compared with persistently low-stable trajectory of depressive symptoms, women with moderate-stable (OR = 1.23, 95% CI: 1.02-1.76), high-falling (OR = 1.35, 95% CI: 1.11-2.21), moderate-rising (OR = 1.38, 95% CI: 1.06-2.04), and high-stable trajectory of depressive symptoms (OR = 1.40, 95% CI: 1.16-3.28) had an increased risk of PTB. In addition, the associations between trajectories of depressive symptoms and risk of PTB were most significant in multiparous women with a history of PTB. There was no difference in the risk of early-moderate PTB among different trajectories of depressive symptoms and only the risk of late PTB was different among different trajectories. In conclusion, the depressive symptoms of pregnant women were not constant during pregnancy, and different trajectories of depressive symptoms were associated with different risks of PTB.

Association Between Antenatal Depression Symptom Trajectories and Preterm Birth

OBJECTIVE

To evaluate whether, among pregnant people referred for mental health care, improvement in antenatal depression symptoms before delivery was associated with a reduction in preterm birth.

METHODS

This retrospective cohort study included all pregnant people referred to a perinatal collaborative care program for mental health care who delivered between March 2016 and March 2021. Those referred to the collaborative care program had access to subspecialty mental health treatment, including psychiatric consultation, psychopharmacotherapy, and psychotherapy. Depression symptoms were monitored with the self-reported PHQ-9 (Patient Health Questionnarie-9) screens in a patient registry. Antenatal depression trajectories were determined by comparing the earliest prenatal PHQ-9 score after collaborative care referral with the score closest to delivery. Trajectories were categorized as improved, stable, or worsened according to whether PHQ-9 scores changed by at least 5 points. Bivariable analyses were performed. A propensity score was generated to control for confounders that were significantly different on bivariable analyses according to trajectories. This propensity score was then included in multivariable models.

RESULTS

Of the 732 pregnant people included, 523 (71.4%) had mild or more severe depressive symptoms (PHQ-9 score 5 or higher) on their initial screen. Antenatal depression symptoms improved in 256 (35.0%), remained stable in 437 (59.7%), and worsened in 39 (5.3%); the corresponding incidence of preterm birth was 12.5%, 14.0%, and 30.8%, respectively ( P =.009). Compared with those with a worsened trajectory, pregnant people who had an improved antenatal depression symptom trajectory had a significantly decreased odds of preterm birth (adjusted odds ratio 0.37, 95% CI 0.15-0.89).

CONCLUSION

Compared with worsened symptoms, an improved antenatal depression symptom trajectory is associated with decreased odds of preterm birth for pregnant people referred for mental health care. These data further underscore the public health importance of incorporating mental health care into routine obstetric care.

Association Between Social Networking Site Use Intensity and Depression Among Chinese Pregnant Women: Cross-sectional Study

BACKGROUND

Despite extensive debates about the mental health impacts of the use of social networking sites (SNSs), including WeChat, the association and mechanisms between social interaction of WeChat use intensity and antenatal depression are unclear.

OBJECTIVE

We aimed to test the mediating roles of upward social comparison on social interaction of WeChat and rumination in the association between social interaction of WeChat use intensity and antenatal depression.

METHODS

A cross-sectional survey was conducted in four hospitals with the self-reported measures of social interaction of WeChat use intensity, upward social comparison on social interaction of WeChat, rumination, antenatal depression, and control variables. The mediation analysis was performed through Model 6 from the PROCESS macro 4.0 in SPSS 26.

RESULTS

Results from 2661 participants showed that antenatal depression was unrelated to social interaction of WeChat use intensity (P=.54), but was significantly positively related to the attitude toward social interaction of WeChat (P=.01). The direct effect of attitude toward social interaction of WeChat use on antenatal depression was not statistically significant (β=-.03, P=.05). The results supported an indirect relationship between attitude toward social interaction of WeChat use and antenatal depression via (1) upward social comparison on social interaction of WeChat (indirect effect value=0.04, 95% CI 0.03 to 0.06); (2) rumination (indirect effect value=-0.02, 95% CI -0.04 to -0.01); and (3) upward social comparison on social interaction of WeChat and rumination in sequence (indirect effect value=0.07, 95% CI 0.06 to 0.08).

CONCLUSIONS

Our findings highlight the necessity of focusing on attitudes toward SNS use, and the importance of upward social comparison and rumination in understanding the effect of SNS use on antenatal depression.

Scoping Review of Racial and Ethnic Representation of Participants in Mental Health Research Conducted in the Perinatal Period During the COVID-19 Pandemic

OBJECTIVE

To identify the racial and ethnic representation of participants in mental health research conducted in the perinatal period during the COVID-19 pandemic.

DATA SOURCES

MEDLINE, CINAHL, Cochrane Library, PsycINFO, Scopus, Web of Science.

STUDY SELECTION

We included peer-reviewed research articles in which researchers reported mental health outcomes of women during the perinatal period who were living in the United States or Canada during the COVID-19 pandemic. We included 25 articles in the final review.

DATA EXTRACTION

We extracted the citation, publication date, design, aim, country of origin, participant characteristics, sampling method, method of measurement of race and ethnicity, and mental health outcome(s).

DATA SYNTHESIS

The combined racial and ethnic representation of the 16,841 participants in the included studies was White (76.5%), Black (9.8%), other/multiracial (6.2%), Asian (3.9%), Hispanic/Latina (2.6%), Indigenous or Ethnic Minority Canadian (0.9%), and Native American or Alaska Native (0.1%). Most studies were conducted in the United States, used a cross-sectional design, and incorporated social media platforms to recruit participants. Depression, anxiety, and stress were the most frequently assessed mental health outcomes.

CONCLUSION

Relatively few women of color who were pregnant or in the postpartum period during the pandemic participated in mental health research studies. Future studies should develop intentional recruitment strategies to increase participation of women of color. Researchers should use updated guidance on reporting race and ethnicity to accurately represent every participant, minimize misclassification of women of color, and report meaningful results.

The vocal dialogue in 9/11 pregnant widows and their infants: Specificities of co-regulation

Mothers who were pregnant and widowed on September 11, 2001, and their 4-6-month infants (in utero on 9/11) were filmed during face-to-face interaction and their vocal dialogues were examined via microanalysis. Mothers were White, well-educated, mean age 34.3 years, and far from the World Trade Center site on 9/11; infants were 4-6 months, half female. We examined the bi-directional, moment-by-moment co-regulation of the timing of vocal dialogue, and particularly turn taking, in mother-infant and stranger-infant interactions, with time-series models. We analyzed the contingent coordination of durations of (1) vocalizations of the turn-holder, and (2) switching-pauses at the moment of the turn exchange. The switching pause is an aspect of the rhythm of the turn-holder who, after taking a turn, yields the floor to the partner through the switching pause. Turn taking is the lynchpin of dialogue, and the bi-directional contingent coordination of the switching-pause regulates the turn exchange. Both partners showed signs of risk and resilience. The 9/11 mothers did not coordinate the timing of turn taking with their infants, a highly unusual finding. In contrast, the 9/11 infants did coordinate the timing of turn taking with their mothers, and with the "stranger," forms of resilience. We propose that the 9/11 mother's difficulty coordinating with the infant's turn taking rhythm is a mode of transmission of her trauma to the infant. This work expands our knowledge of the specificities of co-regulation in the context of the 9/11 trauma.

Perinatal mood and anxiety disorders: biomarker discovery using plasma proteomics

BACKGROUND

Perinatal mood and anxiety disorders encompass a range of mental health disorders that occur during pregnancy and up to 1 year postpartum, affecting approximately 20% of women. Traditional risk factors, such as a history of depression and pregnancy complications including preeclampsia, are known. Their predictive utility, however, is not specific or sensitive enough to inform clinical decision-making or prevention strategies for perinatal mood and anxiety disorders. Better diagnostic and prognostic models are needed for early identification and referral to treatment.

OBJECTIVE

This study aimed to determine if a panel of novel third-trimester plasma protein biomarkers in pregnant women can be used to identify those who have a high predisposed risk for perinatal mood and anxiety disorders within 3 months postpartum.

STUDY DESIGN

We studied 52 women (n=34 with a risk for perinatal mood and anxiety disorders and n=18 controls) among whom mental health screening was conducted at 2 time points, namely in the third trimester and again at 3 months postdelivery. An elevated perinatal mood and anxiety disorder risk was identified by screening individuals with above-validated cutoffs for depression (Edinburgh Postnatal Depression Scale ≥12), anxiety (Overall Anxiety Severity and Impairment Scale ≥7), and/or posttraumatic stress disorder (Impact of Events Scale >26) at both time points. Plasma samples collected in the third trimester were screened using the aptamer-based SomaLogic SomaScan proteomic assay technology to evaluate perinatal mood and anxiety disorder-associated changes in the expression of 1305 protein analytes. Ingenuity Pathway Analysis was conducted to highlight pathophysiological relationships between perinatal mood and anxiety disorder-specific proteins found to be significantly up- or down-regulated in all subjects with perinatal mood and anxiety disorder and in those with perinatal mood and anxiety disorders and no preeclampsia.

RESULTS

From a panel of 53 significant perinatal mood and anxiety disorder-associated proteins, a unique 20-protein signature differentiated perinatal mood and anxiety disorder cases from controls in a principal component analysis (P<.05). This protein signature included NCAM1, NRCAM, and NTRK3 that converge around neuronal signaling pathways regulating axonal guidance, astrocyte differentiation, and maintenance of GABAergic neurons. Interestingly, when we restricted the analysis to subjects without preeclampsia, a 30-protein signature differentiated perinatal mood and anxiety disorder cases from all controls without overlap on the principal component analysis (P<.001). In the nonpreeclamptic perinatal mood and anxiety disorder group, we observed increased expression of proteins, such as CXCL11, CXCL6, MIC-B, and B2MG, which regulate leucocyte migration, inflammation, and immune function.

CONCLUSION

Participants with perinatal mood and anxiety disorders had a unique and distinct plasma protein signature that regulated a variety of neuronal signaling and proinflammatory pathways. Additional validation studies with larger sample sizes are needed to determine whether some of these molecules can be used in conjunction with traditional risk factors for the early detection of perinatal mood and anxiety disorders.

Assessing the relationship between psychosocial risk and pregnancy outcomes using the perinatal integrated psychosocial assessment (PIPA) tool

BACKGROUND

The Perinatal Integrated Psychosocial Assessment (PIPA) tool screens for anxiety, depression, and psychosocial factors in pregnancy. We aimed to assess the association between PIPA-determined psychosocial risk and obstetric and neonatal outcomes.

METHODS

Cohort study of all pregnant women who gave birth at ≥20 weeks of gestation in 2017-2019 at a tertiary maternity hospital in, Sydney, Australia. Women completed PIPA at their first antenatal visit and were assigned a PIPA risk category. At-risk women were reviewed and referred for support. The association between PIPA risk category and obstetric and neonatal outcomes was evaluated using multivariable logistic regression adjusting for sociodemographic and pregnancy factors.

RESULTS

In all, 5969 women completed PIPA; 71.4% were assessed no/low risk, 17.5% medium risk, and 11.1% medium-high/high risk. Compared with no/low-risk women, medium-high/high-risk women were more likely to remain in hospital for &gt;72 hours (aOR 1.47 [95% CI 1.33-1.64]); to not be breastfeeding at discharge (aOR 1.77 [95% CI 1.20-2.61]); to have their infants experience birth complications (aOR 1.24 [95% CI 1.03-1.50]); and to be admitted to the NICU (aOR 1.63 [95% CI 1.26-2.11]). There was a modest increase in odds of cesarean birth (aOR 1.12 [95% CI 1.00-1.27]), and no association with preterm birth or low birthweight. The risk of adverse outcomes disappeared for medium-high/high-risk women referred for support.

CONCLUSIONS

The PIPA tool identified one in 10 women at high psychosocial risk with increased risk of adverse obstetric and neonatal outcomes. Adverse outcomes were attenuated for high-risk women who were referred for extra support, suggesting that psychosocial review and referral for high-risk women may reduce the risk of adverse obstetric and neonatal outcomes.

Adapting Mindfulness-Based Cognitive Therapy for Perinatal Depression to Improve Access and Appeal of Preventive Care

Existing and emerging evidence indicates that perinatal depression is a key contributor to preventable morbidity and mortality during and after childbearing. Despite this, there are few effective options for prevention and treatment that are readily accessible for and appealing to pregnant people. Aspects of routine health care systems contribute to this situation. Furthermore, societal and health care systems factors create additional barriers for people of color, people living in rural regions, and people living in poverty. Our interprofessional team of perinatal care providers, mental health providers, community partners, health services scientists, health equity scientists, and business leaders developed and are piloting a perinatal mental health preventive intervention designed to increase access and appeal of a program incorporating mindfulness cognitive behavioral therapy with proven efficacy in preventing perinatal depression. In this article, we briefly summarize key systems barriers to delivering preventive care for perinatal depression in standard prenatal care clinics. We then describe Mindfulness-Based Cognitive Therapy for Perinatal Depression and outline our adaptation of this intervention, Center M. Finally, we identify next steps, challenges, and opportunities for this recent innovation.

Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research

We utilized machine learning (ML) methods on data from the PROMOTE, a novel psychosocial screening tool, to quantify risk for prenatal depression for individual patients and identify contributing factors that impart greater risk for depression. Random forest algorithms were used to predict likelihood for being at high risk for prenatal depression (Edinburgh Postnatal Depression Scale; EPDS ≥ 13 and/or positive self-injury item) using data from 1715 patients who completed the PROMOTE. Performance matrices were calculated to assess the ability of the PROMOTE to accurately classify patients. Probability for depression was calculated for individual patients. Finally, recursive feature elimination was used to evaluate the importance of each PROMOTE item in the classification of depression risk. PROMOTE data were successfully used to predict depression with acceptable performance matrices (accuracy = 0.80; sensitivity = 0.75; specificity = 0.81; positive predictive value = 0.79; negative predictive value = 0.97). Perceived stress, emotional problems, family support, age, major life events, partner support, unplanned pregnancy, current employment, lifetime abuse, and financial state were the most important PROMOTE items in the classification of depression risk. Results affirm the value of the PROMOTE as a psychosocial screening tool for prenatal depression and the benefit of using it in conjunction with ML methods. Using such methods can help detect underreported outcomes and identify what in patients' lives makes them more vulnerable, thus paving the way for effective individually tailored precision medicine.

Trajectories and Predictors of Symptoms of Depression in Chinese Women From Early Pregnancy to the Early Postpartum Period

OBJECTIVE

To explore the trajectories and predictors of symptoms of depression in Chinese women from early pregnancy to 3 months after birth.

DESIGN

Prospective cohort study.

SETTING

Several maternal and child health care institutions and obstetric departments of general hospitals in Beijing, Jiangsu, Hunan, Sichuan, Shandong, Guangdong, and Shanxi provinces in China.

PARTICIPANTS

Chinese women (N = 667) during pregnancy and the postpartum period.

METHODS

From August 2019 to June 2020, participants from several tertiary hospitals in China who completed at least three measurements during early pregnancy to 3 months after birth (from time point 1 to time point 5) were included for data analysis. We used the self-administered basic information questionnaire and the Edinburgh Postnatal Depression Scale for follow-up. We used Mplus version 8.3 to construct the growth mixture modeling and SPSS version 25.0 to carry out logistic regression analysis.

RESULTS

We found three potential trajectories of symptoms of depression during pregnancy and the postpartum period: the down-then-up healthy group (Class 1, 68.5%), steady-growth moderate-risk group (Class 2, 27.5%), and up-then-down high-risk group (Class 3, 4.0%). Multinomial logistic regression analysis showed that being pregnant for the first time, being a company employee, being less satisfied with the living environment, and the occurrence of negative life events were significant predictors of the Class 2 trajectory, whereas younger age, being less satisfied with food, and the occurrence of negative life events were predictors of the Class 3 trajectory.

CONCLUSION

The trajectories of symptoms of depression during pregnancy and the postpartum period among Chinese women showed significant group heterogeneity. The trajectory categories were influenced not only by demographics and pregnancy-related factors but also by maternal subjective feelings.