Impact of intention and feeling toward being pregnant on postpartum depression: the Japan Environment and Children's Study (JECS)

Development and application of a machine learning-based antenatal depression prediction model

BACKGROUND

Antenatal depression (AND), occurring during pregnancy, is associated with severe outcomes. However, there is a lack of objective and universally applicable prediction methods for AND in clinical practice. We leveraged sociodemographic and pregnancy-related data to develop and validate a machine learning-based AND prediction model.

METHODS

Data from 20,950 pregnant women form 3 hospitals were used and divided into training and test sets. AND was defined as an EPDS score of 10 or above. Using machine learning, we selected 34 characteristic variables and divided them into three categories based on clinical practice: Base Variables, General Variables, and Obstetric Variables. Based on this classification, we constructed four different AND random forest prediction models: the Base Model, the Base+General Model, the Base+Obstetric Model, and the Full Model.

RESULTS

The AUC range in the test set was 0.687-0.710. The Base+General Model achieved the best performance with an AUC of 0.710 (95 % CI: 0.693-0.710) in predicting AND risk during the late pregnancy period. The AUC of the Base Model was only 0.022 lower than that of the top-performing model, indicating its solid foundation for early AND screening.

LIMITATIONS

We have only analyzed the dataset from two eastern cities, and have not yet validated our models in an external dataset.

CONCLUSIONS

Machine learning-based prediction models offer the capability to anticipate the risk of AND across different pregnancy stages. This enables the earlier and more accurate identification of pregnant women who may be at risk, facilitating timely interventions for improving outcomes for both mothers and their offspring.

Neonatal transfer and duration of hospitalization of newborns as potential risk factors for impaired mother-infant bonding: The Japan Environment and Children's Study

BACKGROUND

Currently, there is no consensus regarding the relationship between neonatal transfer and duration of hospitalization in cases of impaired mother-infant bonding (MIB). This study aimed to determine whether neonatal transfer and duration of hospitalization of newborns increase the risk for impaired MIB.

METHODS

The MIB Scale was used to assess impaired MIB 1 year after delivery, using data from the Japan Environment and Children's Study. A score ≥ 5 points indicated impaired MIB. Multiple logistic regression analyses were performed to estimate the association between neonatal transfer and duration of hospitalization of newborns with the risk of impaired MIB.

RESULTS

A total of 66,402 pregnant women were included in the study. The overall incidence rate of impaired MIB was 11.2 %. The mean duration of hospitalization of newborns was 7.1 ± 6.4 days. After adjusting for potential confounders, neonatal transfer (adjusted odd ratio (OR): 1.13 [95 % confidence interval (CI)), 1.01-1.27]) and duration of hospitalization of newborns (adjusted OR 1.007; 95 % CI 1.003-1.010) were associated with impaired MIB. The area under the receiver operating characteristic curve for the duration of hospitalization of newborns for impaired MIB was 0.53.

LIMITATIONS

Maternal childhood abuse and neglect history were not evaluated, and information regarding whether the infants were admitted to the neonatal intensive care unit was unavailable.

CONCLUSIONS

Japanese women whose newborns underwent neonatal transfer should be followed up for at least 1 year after delivery, regardless of the duration of hospitalization of newborns.

Artificial intelligence in perinatal mental health research: A scoping review

The intersection of Artificial Intelligence (AI) and perinatal mental health research presents promising avenues, yet uncovers significant challenges for innovation. This review explicitly focuses on this multidisciplinary field and undertakes a comprehensive exploration of existing research therein. Through a scoping review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, we searched relevant literature spanning a decade (2013-2023) and selected fourteen studies for our analysis. We first provide an overview of the main AI techniques and their development, including traditional methods across different categories, as well as recent emerging methods in the field. Then, through our analysis of the literature, we summarize the predominant AI and ML techniques adopted and their applications in perinatal mental health studies, such as identifying risk factors, predicting perinatal mental health disorders, voice assistants, and Q&A chatbots. We also discuss existing limitations and potential challenges that hinder AI technologies from improving perinatal mental health outcomes, and suggest several promising directions for future research to meet real needs in the field and facilitate the translation of research into clinical settings.

Is Your Pregnancy Unwanted or Unhappy? Psychological Correlates of a Cluster of Pregnant Women Who Need Professional Care

BACKGROUND

A negative response towards a current pregnancy consists of two elements: unwantedness of and unhappiness about the current pregnancy. Little is clear about whether pregnant women can be categorized in terms of unwantedness and unhappiness as well as what the correlates are of these categories.

METHODS

An internet survey of 696 women in their first trimester of pregnancy examined the participants' intention of and emotional reaction towards pregnancy, borderline personality traits, adult attachment style, depression, fear of childbirth, obsessive-compulsive symptoms, fetal bonding disorder, avoidance of taking part in child care, and consideration about termination of pregnancy (TOP). About one third of the participants were followed up with in their second trimester.

RESULTS

Two-step cluster analysis using the participants' intention of and emotional reaction towards pregnancy revealed three groups of pregnant women: those who wanted and were happy about the pregnancy (Cluster 1), those who were unhappy about the pregnancy (Cluster 2), and those who did not intend to be pregnant but were happy about pregnancy (Cluster 3). Cluster 2 women, but not Cluster 3 women, were likely to be single, with borderline personality traits as well as unstable adult attachment styles, accompanied by depression, fear of childbirth, obsessive-compulsive symptoms, and fetal bonding disorder. They were more likely to avoid caring for the baby after childbirth and consider TOP.

CONCLUSION

Expectant women who were unhappy about their pregnancy were at risk of psychological adjustment and need specific perinatal mental health assessment and care.

Developing an obstetric care screening tool to improve social support access for pregnant women: A prospective cohort study

Background

This study aimed to develop an efficient interview sheet during pregnancy and screening tool to identify pregnant women needing social support at obstetric institutions. Moreover, we investigate the perinatal factors associated with the Edinburgh postnatal depression scale (EPDS).

Methods

This prospective cohort study was conducted at three medical institutions that commonly encounter cases with social issues. Pregnant women were assessed using an interview sheet at the first visit (n = 678), at approximately 28 weeks gestation (n = 495), 36 weeks gestation (n = 296), and the postpartum period (n = 822). We investigated the important items identified on the new screening questionnaire (NEW interview sheets) for women needing social support. The items on the interview sheet were scored by multiple linear regression analysis, and the cutoff values were calculated using the receiver operating characteristic curve. The association between perinatal factors and EPDS was assessed using multiple logistic regression analyses.

Results

The study included 166 cases for which all NEW interview sheets for all periods were available. NEW interview sheets and stepwise screening tools during the first and second trimester were developed in which 2.5% of pregnant women were identified as requiring social support, respectively. The factors associated with EPDS ≧ 9 were "Women who felt confused/troubled or did not feel anything to be pregnant" (adjusted odds ratio [aOR]: 6.51, 95% confidence interval [CI]: 1.62-26.15), "Maternal mental disorder" (aOR 4.38; CI 1.06-18.10), "Consultation request at first visit" (aOR 3.22; CI 1.09-9.45), and "Women who have difficulty or anxiety about pregnancy during the second trimester" (aOR 3.14; CI 1.29-7.67).

Conclusions

We created the NEW interview sheets and screening tools during the first and the second trimester. Future studies are needed to validate these screening tools.

Psychological impacts of the COVID-19 pandemic on one-month postpartum mothers in a metropolitan area of Japan

Background

The coronavirus disease 2019 (COVID-19) pandemic has recently become the most important issue in the world. Very few reports in Japan have examined the impact of the COVID-19 pandemic on peripartum mental health. We examined the status of postpartum mental health before and during COVID-19 pandemic from a consecutive database in a metropolitan area of Japan.

Methods

The subjects were women who had completed a maternity health check-up at a core regional hospital in Yokohama during the period from April 1, 2017, to December 31, 2020. We collected the subjects’ scores for the Edinburgh Postnatal Depression Scale (EPDS) and the Mother-to-Infant Bonding Scale (MIBS) at 1 month postpartum. The subjects were divided into four groups (three Before COVID-19 groups and a During COVID-19 group). MANOVA and post-hoc tests were used to determine mental health changes in the postpartum period among the four groups.

Results

The Before and During COVID-19 groups contained 2844 and 1095 mothers, respectively. There were no significant difference in the total scores of the EPDS and MIBS among the four groups. However, the EPDS items related to anxiety factors were significantly higher and the EPDS items related to anhedonia and depression factors (excluding thoughts of self-harm) were significantly lower in the During COVID-19 group.

Conclusion

The EPDS scores changed in connection with the COVID-19 pandemic. Anxiety, which represent hypervigilance, was significantly higher and anhedonia and depression were significantly lower in the During COVID-19 group. Our results may reflect COVID-19-related health concerns and a lack of social support caused by the COVID-19 pandemic.

Feelings about pregnancy and mother-infant bonding as predictors of persistent psychological distress in the perinatal period: The Japan Environment and Children's Study

Feelings about pregnancy and mother-infant bonding are associated with maternal mental health before and after childbirth. The current study examined factors associated with persistent distress at 12 months after childbirth among mothers with psychological distress in the first trimester, using data from the Japan Environment and Children's Study (JECS). Feelings about pregnancy were assessed using a questionnaire in the first trimester, and maternal mental health was assessed using the Kessler 6 (K6) in the first trimester and at 12 months after childbirth. In addition, mother-infant bonding was assessed using the Mother-to-Infant Bonding Scale Japanese version (MIBS-J) at 12 months after childbirth, and 5 items from the MIBS-J at one and six months after childbirth. Among the 97,415 mothers registered in the JECS, 24,324 mothers with psychological distress (K6 ≥ 5) in the first trimester were included in this analysis. The relationships between persistence of psychological distress at 12 months after childbirth with feelings about pregnancy and mother-infant bonding were analyzed. Both maternal negative feelings about pregnancy in the first trimester and mother-infant bonding after childbirth were significantly associated with persistent psychological distress at 12 months after childbirth (β = 0.02, p = 0.001 and β = 0.35, p < 0.001, respectively). The indirect effect of feelings about pregnancy on persistent distress through mother-infant bonding was also observed (β = 0.06, p < 0.001). These findings indicate that mother-infant bonding after childbirth may be important for improving the mental health of mothers with prenatal psychological distress.

Association between mode of delivery and postpartum depression: The Japan Environment and Children's Study (JECS): a prospective cohort study

BACKGROUND

Postpartum depression (PPD) has been associated with adverse health outcomes including maternal suicide. Mode of delivery has been suggested to be a risk factor for PPD, but no large cohort study has examined the association between mode of delivery and PPD. We aimed to examine the association between mode of delivery and risks of PPD at 1 and 6 months after childbirth.

METHODS

In a nationwide study of 89,954 mothers with a live singleton birth, we examined the association between mode of delivery and risks of PPD. PPD was measured by the Edinburgh Postnatal Depression Scale (≥13) at 1 and 6 months after childbirth. Odds ratios (ORs) with 95% confidence intervals (CIs) of PPD were calculated using multivariable logistic regression analyses after adjustment of antenatal physical, socioeconomic, and mental factors.

RESULTS

Among 89,954 women, 3.7% and 2.8% had PPD at 1 and 6 months after childbirth, respectively. Compared with unassisted vaginal delivery, cesarean section (CS) was marginally associated with PPD at 1 month, but not at 6 months; adjusted ORs were 1.10 (95% CI, 1.00-1.21) and 1.01 (95% CI, 0.90-1.13), respectively. The association with PPD at 1 month was evident in women with antenatal psychological distress: adjusted OR was 1.15 (95% CI, 1.03-1.28). The observed associations were attenuated after adjusting for infant feeding method.

CONCLUSIONS

Women who had antenatal psychological distress and underwent CS delivery may be regarded as a target for monitoring PPD.

Women's Health Decline Following (Some) Unintended Births: A Prospective Study

BACKGROUND

As many as one-in-three unintended births occur in Africa. These births have the potential to adversely impact women's health, but data and design limitations have complicated efforts to understand their consequences. Moreover, there is growing evidence that women often feel happy about an unintended pregnancy and this heterogeneity may be important for identifying the births that are - and those that are not - harmful to women's health.

OBJECTIVE

To assess whether having an unintended birth precipitates health declines for young women in a high-fertility, high-morbidity context, and whether women's emotional reaction to the pregnancy foreshadows the consequences of the resulting birth.

METHODS

We use closely spaced panel data from 896 young women in Malawi that include prospective measures of fertility timing desires captured only months before conception and a contemporaneous measure of emotional reaction to the pregnancy. We run lagged dependent variable regression models of self-rated health that account for health and sociodemographic conditions prior to pregnancy and compare women with unintended births to women with intended births and to an alternative comparison group: women who avoid an unintended birth. We then disaggregate unintended births by women's emotional reaction after learning of the pregnancy.

RESULTS

Women who had an unintended birth but initially had a positive reaction to the pregnancy did not experience a decline in health after birth. Women who had a more negative reaction, however, experienced marked reductions in self-rated health, even years after the birth.

CONTRIBUTION

Our findings highlight meaningful heterogeneity in the consequences of unintended fertility for women's health and offer insights into the unintended births that put women at greatest risk of health decline.

Prevalence of and factors associated with unplanned pregnancy among women in Koshu, Japan: cross-sectional evidence from Project Koshu, 2011-2016

Background

Unplanned pregnancy is a public health issue with adverse consequences for maternal and neonatal health. In Japan, the prevalence of unplanned pregnancy was 46.2% in 2002. However, few studies have investigated this topic, and there is little recent data from Japan. We described and examined the prevalence and determinants of unplanned pregnancy among rural women in Japan from 2011 to 2016.

Methods

We used cross-sectional data from a community-based cohort study (Project Koshu). Data were collected from 2011 to 2016 via a self-report questionnaire included in the Maternal and Child Health Handbook of Japan. Pregnancy intention was measured as a binary variable (planned or unplanned). Univariate and multivariate logistic regression analyses were performed to examine factors associated with unplanned pregnancy, with results reported as odds ratios (ORs) and 95% confidence intervals (CIs). We conducted sensitivity analyses with different definitions of pregnancy intention to assess the robustness of the results. The significance level was set at 5%.

Results

Of the 932 participants (mean ± standard deviation age at baseline: 31.3 ± 5.2 years), 382 (41%) pregnancies were reported as unplanned. The multivariate analyses showed that maternal age (+ 1 year: OR = 0.94, 95% CI: 0.92–0.97, p <  0.001), ‘other’ family structure (OR = 2.76, 95% CI: 1.12–6.76, p = 0.03), three or more pregnancies (OR = 2.26, 95% CI: 1.66–3.08, p <  0.001), current smoking (OR = 2.60, 95% CI: 1.26–5.35, p = 0.01), balanced diet (OR = 0.62, 95% CI: 0.47–0.83, p <  0.001) and current depression (OR = 1.63, 95% CI: 1.24–2.16, p <  0.001) were strongly associated with unplanned pregnancy. These associations were consistent across definitions of pregnancy intention, supporting the robustness of our results.

Conclusions

The prevalence of unplanned pregnancy in the study population was high (41%). Risk factors for unplanned pregnancy were age, number of pregnancies, smoking, having a balanced diet and current depression. These results suggest greater efforts are needed to enhance sex education for young people, improve access to family planning services and provide comprehensive health care for high-risk women to help reduce unplanned pregnancies.

Mothers' Subjective Well-Being after Having a Second Child in Current China: A Case Study of Xi'an City

The introduction of the two-child family planning policy in China calls for a study of the response of mothers’ subjective well-being after the birth of a second child. Generally focusing on Western countries, previous studies suggested that a series of factors could influence the response, but insufficient attention has been paid to the relative importance of these factors so far. Based on survey data from mothers of two children in the Xi’an metropolitan area, Shaanxi Province, China, our study indicates that the important factors associated with mothers’ life satisfaction after having a second child were, in general, common to Western countries and China. There were also two factors somewhat unique to China: positive adjustment (i.e., becoming happier) by firstborn children (average age, 6 years old) following a sibling’s birth, predicted enhanced life satisfaction for mothers; additionally, mothers who had both a son and a daughter reported the highest increase in life satisfaction, while mothers who had two sons reported the lowest increase. Socioenvironmental constraints (i.e., parenting pressure and work–family conflict) had a larger association with mothers’ life satisfaction than individual ideational factors (e.g., family orientation and fertility desire). These findings suggest that fertility-friendly policies and convenient family intervention institutions are needed to alleviate potential undesirable consequences and improve maternal life quality following a second childbirth so that the two-child policy can be a success.