Postnatal Depression Scale Research Articles

Edinburgh postnatal depression scale score elevation in caregivers of infants with cystic fibrosis.

The diagnosis of cystic fibrosis (CF) can impact the mental health of caregivers. This study aimed to explore prevalence of postpartum depression (PPD) symptoms in caregivers of infants with CF or CFTR-related metabolic syndrome (CRMS). This prospective, observational study was conducted in a CF clinic at a tertiary hospital over 4 years. Caregivers of infants with CF/CRMS completed serial surveys over the first year of life. Surveys included the Edinburgh Postnatal Depression Scale (EPDS), Patient Health Questionnaire-9 (PHQ-9) and the General Anxiety Disorder-7 (GAD-7). A control group of healthy infant caregivers was used for comparative analysis of EPDS scores. Analyses were conducted on 55 caregivers of 42 infants with CF/CRMS and 915 caregivers of healthy infants. Caregivers of infants with CF/CRMS had a significantly higher prevalence of elevated EPDS scores and higher mean EPDS scores for visit 1 (age 1-2mo) and visit 3 (age 6-9mo) compared to healthy controls (p < 0.001 for both). There was a higher prevalence of caregivers identifying thoughts of self-harm in the CF/CRMS cohort (8.3%) compared to caregivers of healthy controls (1.2%) at visit 1 (p = 0.015) and at visit 3 (CF/CRMS 8.8%; control 1.7%; p = 0.030). EPDS scores correlated with PHQ-9 and GAD-7 scores, particularly earlier in the infant's life. Caregivers of infants with CF/CRMS may be at higher risk of PPD and thoughts of self-harm when compared to healthy controls. Given what is known about the impact of PPD on mental and physical health of children, early identification is vital for this population.

Migration and mental health: the case of postpartum depressive symptoms in Portugal

Abstract Background Postpartum depression (PPD) affects about 17% of healthy mothers within one year of childbirth. The etiology remains unknown, but PPD is influenced by a combination of genetic, physical, psychosocial, and obstetric factors, migration could influence the risk. Methods We analyzed data collected within the scope of baMBINO (Perinatal Health in Migrants: Barriers, Incentives, and Outcomes), a Portuguese prospective cohort study, aimed to investigate the maternity experiences and outcomes of migrant women, defined as foreign-born women, and compared to native women. Among the 5431 women enrolled at delivery, 3006 (55%) were considered eligible for this study and interviewed in their preferred language, within six months of recruitment. The Edinburgh Postnatal Depression Scale (EPDS) was administered during this interview, along with the Migrant-Friendly Maternity Care Questionnaire (MFMCQ). Results 2890 (96%) women were included in the analytical sample for this study. Among women included, 1475 (51%) were migrants or refugees. The proportions of women having EPDS scores ≥ 10 were overall greater among migrants than among native women (7.2% vs. 12.4%, p &amp;lt; 0.001) and the risk remained higher after multiple adjustment models. Conclusions Migration status, poor experience with maternal care and language proficiency increased the risk of PPDS and should be carefully addressed as part of perinatal care.

The relationship between sleep quality, depression, and smartphone addiction in pregnant women: a mediation analysis

ABSTRACT In recent years, the prevalence of smartphone addiction has significantly increased. This situation has raised concerns about its potential impact on health aspects, such as sleep quality and mental health, particularly among vulnerable populations like pregnant women. This study aimed to identify the factors that determine sleep quality in pregnant women and examine the relationship between smartphone addiction, depression, and sleep quality. This descriptive correlational study included 257 pregnant women in their second and third trimesters who were registered at six family health centers between September 2022 and March 2023. Data were collected using a sociodemographic questionnaire, the Smartphone Addiction Scale Short Form, Edinburgh Postnatal Depression Scale, and Pittsburgh Sleep Quality Index. Regression and mediation analyses were performed for the data. Of the participants, 44.4 percent had poor sleep quality. Depression and third trimester were significant determinants of sleep quality. The bootstrapping results revealed that smartphone addiction led to an increase in the level of depression (β = 0.145; p < .001). Depression worsened sleep quality (β = 0.262; p < .001). The smartphone addiction did not significantly affect sleep quality (β = 0.020; p = .279). Depression mediates the relationship between sleep quality and smartphone addiction (β = 0.038; 95 percent CI [0.018: 0.062]). The study highlights that while smartphone addiction does not directly impact sleep quality in pregnant women, it is associated with increased depression levels, which subsequently worsen sleep quality. It is recommended that healthcare providers monitor smartphone usage and mental health in pregnant women to mitigate the risk of sleep disturbances and improve overall well-being.

Postpartum hair loss is associated with anxiety.

This study examined the relationship between postpartum hair loss and psychological symptoms. This questionnaire-based, cross-sectional study included postpartum women who had delivered at two facilities and completed the questionnaire 10-18 months after delivery. Study protocols were sent by mail in two parts. Baseline characteristics and information regarding the pregnancy, delivery, childcare, and postpartum hair loss were obtained via a questionnaire. Psychological symptoms were assessed via the Whooley Questions, Generalized Anxiety Disorder 2-item, and Edinburgh Postnatal Depression Scale. Participants were divided into two groups based on psychological symptoms. Multivariate analyses were performed. In total, 331 responses were analyzed. Women with very much hair loss felt significantly more anxious than those with no postpartum hair loss, as reported on the Generalized Anxiety Disorder 2-item anxiety subscale (odds ratio: 4.47). Multiple logistic regression analysis revealed that primiparity, greater amount of postpartum hair loss, and higher Athens Insomnia Scale scores were predictors of Generalized Anxiety Disorder 2-item anxiety. Adjusted odds ratio of having anxiety among those with very much postpartum hair loss was 4.58 (95% confidence interval, 1.18-17.74) compared to those with no postpartum hair loss. A greater amount of postpartum hair loss was independently associated with postpartum anxiety on the Generalized Anxiety Disorder 2-item.

Influence of postpartum depression on maternal-infant bonding and breastfeeding practices among mothers in Abeokuta, Ogun state

BackgroundPostpartum Depression (PPD) is a severe mental health condition that adversely affects mothers and their infants. The influence of PPD on maternal-infant bonding and breastfeeding practices has been scarcely reported in Nigeria. Therefore, we examined the prevalence of PPD, the associated factors, and the relationship with maternal-infant bonding and breastfeeding practices in Abeokuta, Nigeria.MethodA descriptive cross-sectional survey was conducted among 600 mothers within the extended postpartum period (≤ 1 year) from three government-owned immunisation clinics at primary, secondary, and tertiary health facilities in Abeokuta, Ogun State. PPD was assessed using the Edinburgh postnatal depression Scale (EPDS ≥ 13), and maternal-infant bonding was evaluated using the Postpartum Bonding Questionnaire (PBQ ≥ 50). We also examined breastfeeding practices (i.e. the time to initiation by 30 min, exclusive breastfeeding for 6 months and early commencement of complementary feeding by 2 months). Data was analysed using chi-square and logistics regression models at a 5% significance level.ResultsThe prevalence of PPD was 21.8%, 95% CI (18.7–25.3). Factors associated with PPD were maternal age: 25–34 years [AOR = 0.52; 95% CI (0.29–0.90)]; ≥ 35 years [AOR = 0.44; 95% CI (0.20–0.96)], being married [AOR = 0.43; 95% CI (0.21–0.85)], perceived stress increased the odds of PPD: moderate stress level [AOR = 8.38; 95% CI (3.50–19.9)]; high-stress level [AOR = 47.8; 95% CI (8.65–263.7)] and self-reported history of emotional problems [AOR = 3.25; 95% CI (1.43–7.38)]. There was a significant direct association between PPD and poor maternal-infant bonding [AOR = 3.91; 95% CI (1.04–4.60)]. PPD reduces the odds of early breastfeeding initiation [AOR = 0.43; 95% CI (0.28–0.68)], but no association was found between PPD and exclusive breastfeeding [AOR = 1.07; 95% CI (0.07–1.67)].ConclusionThe prevalence of PPD was high in our study population and associated with poor maternal-infant bonding and late breastfeeding initiation but not with exclusive breastfeeding. Promoting maternal mental health to foster stronger mother-infant relationships and better breastfeeding practices has become crucial.

Plasma and breast milk adipokines in women across the first year postpartum and their association with maternal depressive symptoms and infant neurodevelopment: Protocol for the APPLE prospective cohort study.

Adiponectin and leptin play important roles in the central nervous system. During the postpartum period, there is a need for a better understanding of the relationship between these cytokines and the neurological development of the infant, as well as their influence on preventing maternal depressive symptoms. To assess the correlation between adiponectin and leptin in maternal plasma and breast milk and their association with: infant neurodevelopment at 6 and 12 months of age; and maternal mental health over the first year postpartum. Prospective cohort study with four follow-up. Mothers and their newborns are recruited within the first 15 days postpartum (baseline). Follow-up visits occur at 2, 6, and 12 months postpartum. Visits include blood and breast milk collection, application of the Edinburgh Postnatal Depression Scale and Beck Depression Inventory to assess maternal mental health, application of the Bayley-III scale for infant developmental assessment, maternal and infant anthropometry and body composition, evaluation of reproductive history, mother-infant bonding, breastfeeding, consumption of ultra-processed foods, sleep quality, and socio-economic and demographic data. The research received funds in August 2022, and participant recruitment began in September 2022. The sample size will consist of 95 mother-child pairs. As of September 2023, 68 participants have been recruited. The project will provide insights into the association between adiponectin and leptin with postpartum depression and infant neurodevelopment, ultimately promoting improved care and quality of life for these groups. Additionally, it will provide data on the type of delivery, infant physical growth, maternal and infant body composition changes, sleep quality, consumption of ultra-processed foods, and maternal metabolic health, including vitamin D metabolites, oxidized polyunsaturated fatty acid metabolites, phospholipid species and triacylglycerols, which are of significant relevance to public health and, when interconnected, may yield important results and contribute to the existing literature. Name of the registry: Brazilian Clinical Trials Registry (ReBec). Registration number: RBR-9hcby8c.

Turkish adaptation of the antenatal risk questionnaire-revised: study of validity and reliability

ObjectiveThis study sought to translate the Antenatal Risk Questionnaire-Revised (ANRQ-R) into Turkish and evaluate its psychometric properties for assessing psychosocial vulnerabilities among Turkish-speaking pregnant women.MethodsThe ANRQ-R was translated into Turkish following standard linguistic adaptation procedures. Psychometric properties were then examined using a cross-sectional study design, involving 156 pregnant women recruited from antenatal clinics in Turkey. Participants completed the Turkish ANRQ-R and the Edinburgh Postnatal Depression Scale (EPDS). Statistical analyses, including intraclass correlation coefficients (ICC) for test-retest reliability, Pearson correlation analysis for item-total test correlations, and Receiver Operating Characteristic (ROC) analysis for diagnostic accuracy, were conducted.ResultsThe ANRQ-R Turkish version showed high test-retest reliability with an ICC of 0.888 for the total score. Moderate to good ICCs were obtained for individual Likert-type items (0.572–0.849). Criterion-related validity was established via moderate correlations with the EPDS and its anxiety subscale EPDS-3 A (r = 0.537 and r = 0.431, respectively). ROC analysis demonstrated good discriminatory power (Area Under the Curve = 0.75) with an optimal cut-off score of 17, yielding 78% sensitivity and 65% specificity for identifying potential depression cases.ConclusionsThis study provides preliminary evidence of the overall reliability of the Turkish version of the ANRQ-R as a measure of psychosocial risk among Turkish-speaking women during pregnancy. Despite some limitations in item-level internal consistency indicators, integration of the ANRQ-R into routine antenatal care could enhance early identification and intervention strategies, potentially improving maternal health outcomes. Future research should aim to further validate the scale across diverse populations and settings, using a diagnostic tool as the reference standard.

Postpartum depression, and post-traumatic stress disorder and resultant risk factors among teenage mothers: a community-based study

The prevalence of postpartum depression in teenage mothers is higher than that in adult mothers. The present study aimed to investigate the prevalence of depression, distress, and post-traumatic stress disorders (PTSD) following childbirth and its resultant risk factors among teenage mothers. Material and Methods. This cross-sectional study was carried out on 167 teenage women aged 11–19 years, 8-week after giving birth, in Tabriz, Iran. The data were collected using by socio-demographic characteristics questionnaire, Edinburgh Postnatal Depression Scale, Posttraumatic Stress Disorder Checklist and Postpartum Distress Measure scale. Results. The study results revealed that 12.6% and 7.2% of the participants had postpartum depression and PTSD, respectively. The results showed that the variables of the number of children, dissatisfaction with marriage, and history of preconception depression were among the risk factors associated with postpartum depression. The results indicated that unwanted pregnancy, lack of spousal support, insufficient income, and infant restlessness variables were predictors of PTSD. Conclusion. Based on our findings, it is crucial to identify teenage mothers with predisposing factors for postpartum depression and PTSD. Providing family planning counseling to reduce unwanted pregnancies, training fathers to support their spouses, and ensuring timely referral of high-risk individuals are essential interventions to address the mental health challenges faced by teenage mothers.

Efficacy of a Standalone Smartphone Application to Treat Postnatal Depression: A Randomized Controlled Trial

Introduction: Smartphone app interventions based on cognitive-behavioral therapy (CBT) are promising scalable alternatives for treating mental disorders, but the evidence of their efficacy for postpartum depression is limited. We assessed the efficacy of Motherly, a standalone CBT-based smartphone app, in reducing symptoms of postpartum depression. Methods: Women aged 18–40 with symptoms of postpartum depression were randomized either to intervention (Motherly app) or active control (COMVC app). The primary outcome was symptoms of depression measured by the Edinburgh Postnatal Depression Scale (EPDS) at post-treatment. Secondary outcomes were anxiety symptoms, parental stress, quality of sleep, behavioral activation, availability of response-contingent positive reinforcement, and clinical improvement at post-treatment and 1-month follow-up. Exploratory analyses were performed to investigate if app engagement was associated with treatment response. Results: From November 2021 to August 2022, 1,751 women volunteered, of which 264 were randomized, and 215 provided primary outcome data. No statistically significant differences were found between groups at post-treatment: intervention: mean (SD): 12.75 (5.52); active control: 13.28 (5.32); p = 0.604. There was a statistically significant effect of the intervention on some of the secondary outcomes. Exploratory analyses suggest a dose-response relationship between Motherly app engagement and outcomes. Conclusion: Our standalone app intervention did not significantly reduce postnatal depression symptoms when compared to active control. Exploratory findings suggest that negative findings might be associated with insufficient app engagement. Consistent with current literature, our findings suggest that standalone app interventions for postpartum depression are not ready to be implemented in clinical practice.

A longitudinal study of facial function, quality of life, and depression in Bell’s palsy during pregnancy and puerperium

Bell’s palsy can reduce facial function and quality of life. Pregnancy may also be physically and psychologically challenging. This study investigates depression among pregnant and puerperal women with and without Bell’s palsy and if degree of facial palsy and depression was correlated. Thirty-one women with pregnancy-associated Bell’s and 31 women without Bell’s palsy were prospectively included and followed one year at two University Hospitals, Stockholm. Depression was assessed with Edinburgh Postnatal Depression Scale (EPDS). In women with Bell’s palsy, Facial Disability Index (FDI), Facial Clinimetric Evaluation (FaCE) scale, and Sunnybrook Facial Grading System (SFGS) were collected. The association between Bell’s palsy and EPDS ≥ 11 was assessed by logistic regression, and between EPDS and FDI, FaCE, and SFGS, respectively, by Spearman rank correlation. Median EDPS did not differ between groups (7.0 vs. 6.0, p = 0.74, one month, 6.5 vs. 6.0, p = 0.87, 12 months). EPDS at one month was correlated to FDI (p = 0.002) and FaCE (p = 0.004) and at 12 months to FDI (p = 0.009) but not to FaCE (p = 0.08). No correlation was found between EPDS and SFGS. In summary, no association appeared between pregnancy-associated Bell’s palsy and depression. Patient-reported function correlated well with depression in pregnancy-associated Bell’s palsy, while physician-reported facial function did not.

The Preventive Role of Perceived Social Support in Postpartum Psychiatric Morbidity: Insights from a Rural Tertiary Care Teaching Hospital in South India

Abstract Introduction: Postpartum psychiatric disorders show a rising trend in developing countries, where the lack of social support is a major risk factor. Evidence from Western scientific literature also reports of similar preventive role of social support in postpartum psychiatric states. However, the attitudes toward childbearing may differ across cultures and also within the same cultural sphere. With this background, we aimed to assess the perceived social support and its association with postpartum psychiatric morbidity in a rural setting in South India. Methodology: A total of 100 postpartum women who met the inclusion and exclusion criteria were included in the study following their consent. Sociodemographic data sheet and Edinburgh Postnatal Depression Scale, Diagnostic and Statistical Manual of Mental Disorders, fourth edition, Text Revision (DSM IV-TR), and Multidimensional Scale of Perceived Social Support were administered on them. Appropriate statistical analysis was done. P &lt;0.05 was considered statistically significant. Results: The majority of our sample recorded high perceived social support (76%), with 90% reporting high support from a special person. 10% had major depressive disorder, out of which 6% recorded melancholia, and 7% recorded suicidality on DSM IV-TR. Increasing age had lower perceived social support, P = 0.024. As perceived social support was reduced, increased psychiatric morbidity was significantly noted, with suicidality and melancholia. Conclusions: Our study finds a significant association between perceived social support and postpartum depression (PPD). Lesser social support was associated with increased suicidality and melancholia features in cases of PPD. Amplification of social support in expectant mothers is a useful way to safeguard against postpartum psychiatric disorders.

Periconceptional omega-6 and omega-3 polyunsaturated fatty acid intake plane and postpartum depression: a nationwide birth cohort-the Japan Environment and Children's Study.

Intake of omega-3 polyunsaturated fatty acids (PUFAs) has favorable effects on the prevention of postpartum depression, but fish, the principal source of omega-3 PUFAs, are becoming a depleted resource. We therefore examined whether lower periconceptional intake of omega-6 PUFAs, whose metabolic pathways are antagonistic to those of omega-3 PUFAs, is associated with lower prevalence of postpartum depression while simultaneously considering omega-3 PUFA intake. The participants were 92,595 mothers involved in the ongoing Japan Environment and Children's Study. Periconceptional intakes of omega-6 and -3 PUFA were measured using a food frequency questionnaire. Postpartum depression was assessed using the Edinburgh Postnatal Depression Scale. Generalized additive mixed model analysis was used to draw contour plots of postpartum depression on a plane with omega-6 and omega-3 PUFA intakes on the x- and y-axes, respectively. The adjusted prevalence ranged from 11.0% to 26.3% within the respective 1st to 99th percentile intake ranges and monotonously decreased with decreasing omega-6 PUFA intake. In contrast, the prevalence decreased with increasing omega-3 PUFA intake, but the trend almost disappeared above 2 g/day. Our results highlight the potential importance of focusing on omega-6 PUFAs as well as omega-3 PUFAs prior to conception to reduce postpartum depression.

Changes in core depressive symptoms over time in peripartum women: A network analysis

Perinatal depression (PND) is a prevalent mental health condition that affects women during pregnancy and after childbirth. Distinct clinical subtypes of PND exist, with the timing of symptom onset being a pivotal element in the classification of these subtypes. However, the specific manifestations of PND across the various stages of pregnancy and the postpartum period remain to be elucidated. This study aimed to explore the changes in depression symptoms with the stage of pregnancy. Women in their second (n = 161) and third trimesters (n = 248) of pregnancy as well as those in their first 6 weeks of the postpartum period (n = 110) were recruited. Each patient was evaluated using the Edinburgh Postnatal Depression Scale. A network analysis approach was used to explore the interconnections among depressive symptoms across the different time periods. Women in the postpartum period exhibited the most pronounced prevalence of PND and severity of depressive symptoms. In the second and third trimesters, &amp;ldquo;sadness and misery&amp;rdquo; was the most central symptom. However, its prominence diminished after childbirth. &amp;ldquo;Fear and panic&amp;rdquo; was the predominant symptom in the postpartum network. The structural integrity of PND symptom networks was maintained across all three periods, with consistent strength and closeness. This study demonstrates the temporal evolution of PND&amp;rsquo;s central symptoms in women during and after pregnancy, transitioning from depression-centric to anxiety-centric manifestations. These findings advocate for symptom-specific interventions to enhance the mental well-being of mothers and their offspring. Furthermore, this study offers clinical insights into the biological underpinnings of PND subtypes, facilitating precise diagnosis and targeted treatment strategies.

Assessment of the validity and reliability of edinburgh postpartum depression scale in Turkish men.

Perinatal depression (PD) affects individuals during pregnancy and early parenthood, resembling major depression. Recent research highlights paternal perinatal depression (PPD) in fathers. PPD has adverse effects on fathers and their children. This study assesses the Turkish version of the Edinburgh Postnatal Depression Scale (EPDS) for Turkish fathers, aiming to provide a tool for PPD identification. This methodological study validates the EPDS for Turkish fathers and explores associations with demographic and psychosocial factors. The study involved 295 fathers withinfants aged 2weeks to 12months. The EPDS, originally designed for perinatal depression and validated in Turkish women, was used. Fathers completed a participant information questionnaire, the EPDS, and the Beck Depression Inventory (BDI) during clinic visits. Data on sociodemographic factors, paternal roles, and pregnancy and postpartum support were collected. Mothers also completed the EPDS. Descriptive statistics, exploratory factor analysis, confirmatory factor analysis, and correlation tests were used. The study included fathers with an average age of 30.5 years, mostly with a high school education or higher. The EPDS had a mean total score of 3.1. Factor analysis suggested a three-factor structure for the EPDS in Turkish fathers, including anhedonia, anxiety, and depression. Confirmatory factor analysis validated the three-factor structure, with acceptable model fit indices. Positive correlations were found between fathers' EPDS scores, maternal EPDS scores, and paternal BDI scores. The EPDS effectively discriminated between different levels of depression severity. Various factors, such as education level and lack of support during pregnancy and after childbirth, were associated with higher EPDS scores. These findings emphasize the significance of assessing and addressing PPD in fathers, supporting the use of the EPDS as a valid tool in the Turkish context. The three-factor structure aligns with international research, highlighting the importance of a multi-dimensional approach to PPD assessment. Early intervention can mitigate PPD's impact on fathers, mothers, and children, benefiting mental health and well-being.

Metabolic profiling of blood plasma in depression in pregnant women during early pregnancy.

The study aimed to perform metabolic profiling of serum samples using liquid chromatography with mass spectroscopy (LC-MS) and to explore potential biomarkers of early trimester depression. Using the Edinburgh Postnatal Depression Scale (EPDS), participants were randomly divided into study and control groups. Serum metabolic profiles of the two groups were analysed by using LC-MS. Differential metabolite and pathway analysis were identified by using orthogonal projections to latent structure-discriminant analysis (OPLS-DA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Additionally, least absolute shrinkage and selection operator (LASSO) logistic and receiver operating characteristic (ROC) curve analyses were also conducted to explore potential biomarkers of antenatal depression (AD). The study included 41 participants, consisting of 16 subjects with AD and 25 controls. A total of 22 different metabolites were identified (p < .005), mainly affecting glycerophospholipid metabolism, linoleic acid metabolism, synthesis and degradation of ketone bodies, phenylalanine metabolism, and butanoate metabolism. The area under the ROC curve (AUC) for the LysoPC (24:0) was 0.858. This suggests that LysoPC (24:0) may be a potentially effective predictor of risk factors for AD. The study suggests that LysoPC (24:0) may be an effective and specific lipid biomarker for early trimester depression.

Decision tree learning for predicting chronic postpartum depression in the Japan Environment and Children's Study

BackgroundMany studies have used machine learning techniques to construct predictive models of postpartum depression, but few such models are simple enough to use in community maternal health settings with pen and paper. Here, we use a decision tree to construct a prediction model for chronic postpartum depression. MethodsParticipants were 84,091 mothers. Chronic postpartum depression was identified as an Edinburgh Postnatal Depression Scale score of ≥9 at both 1 and 6 months postpartum. The training dataset included 84 diverse variables measured during pregnancy, including health status and biomarkers. In learning, the branching depth was constrained to 3, the number of branches per branch to 4, and the minimum number of n in a branch was 100. The training to validation data ratio was set to 7:3. ResultsA decision tree with 35 branches and an area under the receiver operating characteristic of 0.84 was created. Ten of 84 variables were extracted, and the most effective in classification was “feeling worthless.” At training (n = 58,635), the most and least prevalent branches were 73.2 % and 0.84 % (mean = 6.29 %), respectively; at validation (n = 25,456), they were 60.4 % and 0.72 % (mean = 6.52 %), respectively. LimitationsChronic postpartum depression was identified using self-administered questionnaires. ConclusionsThis study created a simple and relatively high-performing prediction model. Because the model can be easily understood and used without expertise in machine learning, it is expected to be useful in maternal health settings, including grassroots community health.

Post-Partum Depression: A Case Study of the Wife of an Expatriate Pakistani

This study aims to explore the experience of post-partum depression in a woman that is the wife of an expatriate Pakistani. It probes into the psycho-social factor that boost the chances of past-partum depression among woman who gone through the c-section while giving birth to her 4th child in her husband’s absence while living in joint family system. This case study reported a woman with postpartum depression; facing psychosocial pressures while living in joint family system in rural area of Punjab. Edinburgh post-natal depression scale used to analyse her post-partum depression and DSM- V as the determinant of diagnostic criteria which revealed that psychosocial pressures, attachment issues and lack of social support made her vulnerable. Postpartum depression has varying symptoms and psycho-social factors irritating its symptoms.

The association of delivery during a war with therisk for postpartum depression, anxiety and impaired maternal-infant bonding, a prospective cohort study.

To examine the impact of war conditions on maternal mental health postpartum outcomes, specifically depression and anxiety, as well as on maternal-infant bonding (MIB). A prospective cohort study was performed on women who gave birth in a tertiary medical center during (October-November 2023) and before (March-May 2020) the Israel-Hamas War. All participants completed validated self-reported questionnaires: The Edinburgh Postnatal Depression Scale (EPDS ≥ 10), State-Trait Anxiety Inventory (STAI > 39) and the Postpartum Bonding Questionnaire (PBQ ≥ 26). A total of 502 women were included in the study, with 230 delivering during the war and 272 delivered before. The rates of postpartum depression (PPD) were higher in women delivering during the war (26.6% vs. 12.4%, p < 0.001), while multivariable regression revealing a two-fold higher risk (adjusted OR 2.35, 95% CI 1.16-4.74, p = 0.017). The rate of postpartum anxiety (PPA) risk was also higher (34.3% vs 17.0%, p < 0.001), reaching a trend towards significance when accounting for other risk factors (adjusted OR 2.06, 95% CI 0.97-4.36, p = 0.058). Additionally, delivery during the war was associated with specific factors of impaired maternal-infant bonding (MIB), although it did not increase the overall impaired MIB (PBQ ≥ 26) (10.2 ± 14.1 vs 8.3 ± 6.9, p = 0.075). The study revealed an increased risk of PPD, a marginally risk for PPA, and some aspects of impaired MIB among women delivering during the war. Maternal mental illness in the postpartum period has negative impacts on the entire family. Therefore, comprehensive screening and adequate resources should be provided for women delivering in war-conflict zones.

Application of time series analysis in predicting postpartum depression: integrating data from the hospitalization period and early postpartum weeks.

This study aimed to explore the dynamic changes in postpartum depressive symptoms from the hospitalization period to 4-8 weeks postpartum using time series analysis techniques. By integrating depressive scores from the hospital stay and the early postpartum weeks, we sought to develop a predictive model to enhance early identification and intervention strategies for Postpartum Depression (PPD). A longitudinal design was employed, analyzing Edinburgh Postnatal Depression Scale (EPDS) scores from 1,287 postpartum women during hospitalization and at 4, 6, and 8 weeks postpartum. Descriptive statistics summarized demographic characteristics. Time Series Analysis using the Auto-Regressive Integrated Moving Average (ARIMA) model explored temporal trends and seasonal variations in EPDS scores. Correlation analysis examined the relationships between EPDS scores and demographic characteristics. Model validation was conducted using a separate dataset. EPDS scores significantly increased from the hospitalization period to 4-8 weeks postpartum (p < .001). The ARIMA model revealed seasonal and trend variations, with higher depressive scores in the winter months. The model's fit indices (AIC = 765.47; BIC = 774.58) indicated a good fit. The Moving Average (MA) coefficient was - 0.69 (p < .001), suggesting significant negative impacts from previous periods' errors. Monitoring postpartum depressive symptoms dynamically was crucial, particularly during the 4-8 weeks postpartum. The seasonal trend of higher depressive scores in winter underscored the need for tailored interventions. Further research using longitudinal and multi-center designs was warranted to validate and extend these findings. Our predictive model aimed to enhance early identification and intervention strategies, contributing to better maternal and infant health outcomes.

Associations between dyadic coping, marital satisfaction, and prenatal depression symptoms among couples with gestational diabetes mellitus

ABSTRACT Aims/Background Coping with gestational diabetes mellitus (GDM) presents significant challenges for pregnant women and their partners, which may result in elevated prenatal depression symptoms. However, research has predominantly centred on pregnant women with GDM, with little involvement of their partners. To understand their dyadic interactions, it is imperative to involve GDM couples in the study. This study aims to examine the interplay between dyadic coping and prenatal depression symptoms among GDM couples and to explore the possible mediating role of marital satisfaction. Design/Method A cross-sectional study was conducted in Guangzhou, China. A total of 400 couples completed the Dyadic Coping Inventory, Locke-Wallace Marital Adjustment Scale, Edinburgh Postnatal Depression Scale, and sociodemographic data sheet. The actor-partner interdependence mediation model was utilised for dyadic data analysis. Results Overall, 13.0% of pregnant women with GDM and 8.3% of partners experienced elevated prenatal depression symptoms. Dyadic coping was directly or indirectly related to their own and partners’ prenatal depression symptoms in GDM couples, with marital satisfaction acting as a mediator. Specifically, positive dyadic coping was associated with lower prenatal depression symptoms, while negative dyadic coping exhibited an opposite relationship. Conclusion The prevalence of elevated prenatal depression symptoms was high in GDM couples. It is important to view pregnant women with GDM and their partners as a dyad of a transactional system in prenatal clinical care. Couple-centred interventions targeting to enhance positive dyadic coping and mitigate negative dyadic coping might be beneficial to prevent and alleviate prenatal depression symptoms.