Maternal thoughts of self-harm and their association with future offspring mental health problems

Risk of self-harm ideation in mothers of children with orofacial cleft defects: the Japan environment and children's study

Introduction

Cleft lip and/or palate (CL/P), the most prevalent congenital anomaly, has been associated with higher rates of child maltreatment. In particular, the presence of cleft lip has more of an impact on external appearance and may increase the risks of negative health outcomes such as parental postpartum depression; however, this concept remains controversial. Item #10 of the Edinburgh Postpartum Depression Scale is the assessment of parental self-harm ideation, and its presence in postpartum mothers merits risk assessments as an emergent issue that may affect the health of both mothers and infants. This study focused on the impact of CL/P on maternal self-harm ideation.

Methods

Of 100,300 live births from a nationwide birth cohort in Japan, 238 mothers of infants with CL/P [186 children born with cleft lip (CL ± P) and 52 born with isolated cleft palate (CP)] were included in the analyses. The prospective association of children with CL/P and maternal self-harm ideation, which were acquired using item #10 in the Edinburgh Postpartum Depression Scale at 1 and 6 months postpartum, was examined using binomial logistic regression analyses after multiple imputations and with adjustments for several maternal (age at delivery, smoking habit, and alcohol intake) and child-related (sex and prevalence of other congenital diseases) variables.

Results

The prevalence of self-harm ideation in 238 mothers of infants with CL/P at 1 and 6 months were 14.7% (35/238) and 18.8% (45/238) [8.2% (8,185/100,062) and 12.9% (12,875/100,062) in the control group], respectively. The odds ratio (95% confidence interval) for maternal self-harm ideation increased with CL/P prevalence [1.80 (1.22-2.65) and 1.47 (0.98-2.18)] at 1 and 6 months of age, respectively. After stratified by the prevalence of cleft lip, we found significant differences in the CL ± P group but not in the CP group. Furthermore, persistent self-harming ideation was associated with a higher risk in the CL ± P group [2.36 (1.43-3.89)].

Conclusion

CL/P, particularly cleft lip, which is more noticeable externally, was associated with an increased prevalence of maternal self-harm ideation. The findings in this study indicate some potential benefits of increasing support for mothers who have infants with CL/P.

Magnitude of self-harm and associated factors among postnatal mothers attending immunization clinics at public health facilities in Boneya Boshe Woreda, Western Ethiopia, 2023: institution-based cross-sectional study design

Background

Self-harm is a preventable, but a leading, cause of maternal morbidity and mortality all over the world, with a significant impact on healthcare systems.

Objective

To assess the magnitude of self-harm and associated factors among postnatal mothers attending immunization clinics.

Methods

An institution-based cross-sectional study was employed among postnatal mothers attending infant immunization clinics at public health facilities in Boneya Boshe Woreda, Western Ethiopia, 1 October to 30 October 2023. A pretested, face-to-face interviewer-administered structured questionnaire prepared by Kobo Toolbox was used to collect the data. Both bivariable and multivariable logistic regression analyses were done. The level of significance was declared at p-value <0.05 with a 95% CI.

Results

Among the 423 mothers enrolled in the study, 415 of them finally participated, at a response rate of 98.10%. The magnitude of self-harm was 12.53% (95% CI: 9.33, 15.73). Involvement of husband in maternity and child healthcare (AOR = 1.90; 95% CI: 1.12, 2.10), depression (AOR = 2.79; 95% CI: 2.14, 6.94), loneliness (AOR = 2.49; 95% CI: 1.15, 5.40), postpartum intimate partner violence (AOR = 2.15; 95% CI: 1.01, 4.54), average monthly income (AOR = 3.70; 95% CI: 2.17, 10.50), and postnatal care (AOR = 2.72; 95% CI: 1.28, 5.80) were significantly associated factors.

Conclusion and recommendations

The study sought a magnitude of self-harm that was slightly higher than the previous study conducted in the northern part of Ethiopia. Therefore, healthcare providers should focus on identified factors during postnatal care to overcome them. Similarly, the concerned body should develop an effective strategy based on the identified factors to pay attention to postnatal mothers.

Self-harm thoughts among postpartum women - associated factors

BACKGROUND

Even though in many countries suicide is the leading cause of maternal deaths during the postpartum period, the prevalence of thoughts of self-harm (SHTs), an important risk factor for suicide attempts, is still not well documented.

AIM

We aimed to investigate the prevalence of SHTs in a Polish cohort of postpartum women and identify socio-demographic and maternal mental health factors associated with experiencing SHTs.

METHOD

1545 women took part in a midwife-led postpartum depression (PPD) screening. 337 of them reported SHTs. The Edinburgh Postpartum Depression Scale (EPDS) was administered. Specifically, we used an abbreviated 5-item version to assess depression symptoms, item 10 to assess SHTs, a composite score of items 1 and 2 - anhedonia, and a composite score of items 3, 4, and 5 - anxiety. Logistic regression analyses were performed to examine associations between variables.

RESULTS

Approximately 2% (n = 337) of women self-reported experiencingSHTs. Within the group of postpartum mothers who self-reported SHTs, 65.60% (n = 221) manifested the symptoms of PPD, and 56.40% (n = 190) - of anxiety. The symptoms of PPD, a mood disorder diagnosed in the past, and younger age were predictors of SHTs.

CONCLUSION

The results of this study can contribute to the development of prevention strategies: analysing separately items from PPD screening questionnaires focusing on SHTs can be an important part of prevention. The lack of the symptoms of PPD and anxiety risk does notexclude experiencing SHTs.

Measures of suicidality in perinatal women: A systematic review

BACKGROUND

Suicide is a leading cause of death for perinatal women. Identifying women at risk of suicide is critical. Research on the validity and/or reliability of measures assessing suicidality in perinatal women is limited. This review sought to: (1) identify; and (2) evaluate the psychometric properties of suicidality measures validated in perinatal populations.

METHODS

Nine electronic databases were systematically searched from inception to January 2022. Additional articles were identified through citation tracking. Study quality was assessed using an adapted tool, and the psychometric properties of measures were reviewed and presented using a narrative synthesis.

RESULTS

A total of 208 studies were included. Thirty-five studies reported psychometric data on ten suicidality measures. Fifteen studies reported both validity and reliability data, 12 reported more than one type of validity, seven validated more than one measure and four only reported reliability. Nearly all measures primarily screened for depression, with an item or subscale assessing suicidal ideation and/or behaviours. Three measures were specifically developed for perinatal women, but only two were validated in more than one study. The Postpartum Depression Screening Scale (PDSS), suicidal thoughts subscale, was validated most frequently.

LIMITATIONS

Methodological differences and variability between the measures (e.g., suicidality construct assessed, number of items and administration) precluded direct comparisons.

CONCLUSION

Further validation of suicidality measures is needed in perinatal women. Screening for perinatal suicidality often occurs in the context of depression. The development of a standalone measure specifically assessing suicidality in perinatal women may be warranted, particularly for use in maternity care settings.

Application of machine learning in predicting the risk of postpartum depression: A systematic review

BACKGROUND

Postpartum depression (PPD) presents a serious health problem among women and their families. Machine learning (ML) is a rapidly advancing field with increasing utility in predicting PPD risk. We aimed to synthesize and evaluate the quality of studies on application of ML techniques in predicting PPD risk.

METHODS

We conducted a systematic search of eight databases, identifying English and Chinese studies on ML techniques for predicting PPD risk and ML techniques with performance metrics. Quality of the studies involved was evaluated using the Prediction Model Risk of Bias Assessment Tool.

RESULTS

Seventeen studies involving 62 prediction models were included. Supervised learning was the main ML technique employed and the common ML models were support vector machine, random forest and logistic regression. Five studies (30 %) reported both internal and external validation. Two studies involved model translation, but none were tested clinically. All studies showed a high risk of bias, and more than half showed high application risk.

LIMITATIONS

Including Chinese articles slightly reduced the reproducibility of the review. Model performance was not quantitatively analyzed owing to inconsistent metrics and the absence of methods for correlation meta-analysis.

CONCLUSIONS

Researchers have paid more attention to model development than to validation, and few have focused on improvement and innovation. Models for predicting PPD risk continue to emerge. However, few have achieved the acceptable quality standards. Therefore, ML techniques for successfully predicting PPD risk are yet to be deployed in clinical environments.