Risk Of Postpartum Depression Research Articles

Contactless exercise intervention in prenatal and postnatal period during COVID-19 lowers the risk of postpartum depression

The COVID-19 pandemic has had a substantial adverse impact on the physical and mental health of pregnant and postpartum women, thereby increasing the risk of postpartum depression (PPD). This study aimed to evaluate the effectiveness of a continuous contactless exercise intervention in reducing the risk of depression during the prenatal and postnatal periods. The study utilized an interactive contactless exercise program consisting of Pilates movement over a 16-week period, with 8 weeks during pregnancy and 8 weeks after childbirth. Metabolic and psychological factors related to postpartum depression, including pain, stress, and stress-response markers, were analyzed. The results showed that the exercise intervention significantly alleviated postpartum depression by improving pain (Oswestry Disability Index: Non-exercise, 11.4 ± 14.8 versus Exercise, − 63.1 ± 18.4, p < .001) and stress factors (Edinburgh Postnatal Depression Scale: Non-exercise, 8.8 ± 8.72 versus Exercise, − 37.6 ± 9.13, p < .001; Perceived Stress Scale: Non-exercise, 9.21 ± 9.35 versus Exercise, − 20.7 ± 14.4, p < .001) caused by physical/structural imbalances in postpartum women. Additionally, the intervention improved the metabolic imbalances commonly observed after childbirth, including reductions in triglyceride (Interaction effect, p = .017), insulin (Interaction effect, p = .032), and cortisol levels (Interaction effect, p < .001), which are recognized risk factors for postpartum depression. Taken together, these findings suggest that contactless online exercise interventions can mitigate postpartum depression by addressing metabolic dysregulation that frequently occurs after delivery, especially in situations of social isolation caused by the pandemic.

Prevalence and associated factors of anemia among postpartum mothers in public health facilities in Ethiopia, 2024: a systematic review and meta-analysis

BackgroundPostpartum anemia, characterized by hematocrit or hemoglobin levels below the defined cutoff point (< 11gm/dl or hematocrit < 33%), is a prevalent global issue. It serves as an indirect contributor to maternal mortality and morbidity. Mothers in the postpartum period experience diminished quality of life, impaired cognitive function, emotional instability, and an increased risk of postpartum depression due to anemia. Additionally, infants of affected mothers may face challenges such as insufficient breast milk supply and a lack of proper care. Examining the combined prevalence and factors associated with postpartum anemia is crucial for addressing maternal health risks and complications during the postnatal phase attributed to anemia.ObjectiveThe study aimed to synthesize the existing literature on the prevalence and associated factors of postpartum anemia in public health facilities of Ethiopia, in 2024.MethodsThe study was conducted by searching through the Google Scholar, PubMed, and Cochrane Library search engines. The search utilized keywords and MeSH terms such as anemia, low hemoglobin, postpartum, postnatal women, and Ethiopia. The collected data underwent analysis and comparison with the WHO criteria to determine if it met the threshold for declaring a public health concern. Heterogeneity was evaluated through the Cochran Q test and I2 statistics. Prevalence and odds ratio estimations were performed using a random-effects model with a 95% confidence interval.ResultFour studies were included in this systematic review and meta-analysis. The overall pooled prevalence of anemia among postpartum women in Ethiopia was 69% (95% CI: 60- 77%).Lack of formal education(OR = 3.5;CI:2.639,4.408),Low Pre-delivery hemoglobin (OR = 4.2;CI: 1.768–6.668), Postpartum women < 4 ANC visit (OR = 2.72; 95% CI:2.14,3.3 ),history of post partum hemorrhage (OR = 2.49; CI: 1.075–3.978),history of Forceps/vacuum delivery(OR = 3.96; CI:2.986–4.947), Poor iron and folic acid adherence (OR = 2.8;95% CI:2.311,3.297), C/S (OR = 4.04; 95% CI: 3.426,4.671),lower dietary diversity (OR = 4.295% CI:1.768,6.668) were significantly associated postpartum anemia.ConclusionPostpartum women in Ethiopia continue to face a considerable public health challenge in the form of anemia. Consequently, there is a pressing need for the government to formulate comprehensive, multi-sectorial policies and strategies. These initiatives should be designed to address the substantial regional disparities influenced by interconnected factors, with the aim of reducing the prevalence of anemia among postpartum women in Ethiopia.

The Influence of Personality Traits on Postpartum Depression: A Systematic Review Based on the NEO-FFI Scale

Postpartum depression (PPD) is a significant global health concern with profound implications for mothers, families, and societies. This systematic review aims to synthesize current research findings to understand better how personality traits, as assessed by the NEO Five-Factor Inventory (NEO-FFI), contribute to the development and progression of PPD. Conducted in January 2024, this review searched major databases like PubMed, PsycINFO, and Scopus up to December 2023, focusing on the NEO-FFI’s role in evaluating PPD. Following PRISMA guidelines, studies were selected based on strict criteria, including the exclusive use of NEO-FFI for personality assessment and a focus on postpartum women. A total of seven studies were included after a rigorous two-step screening process, and their data were qualitatively synthesized. The review covered a total of 4172 participants, with a prevalence of clinically significant postpartum depression symptoms ranging from 10.6% to 51.7%. Notably, Neuroticism emerged as a significant predictor of PPD, with odds ratios ranging from 1.07 (95% CI: 0.96–1.20) in some studies to as high as 1.87 (95% CI: 1.53–2.27) in others. In contrast, traits like Extraversion and Conscientiousness generally showed protective effects, with lower scores associated with reduced PPD risk. For instance, Extraversion scores correlated negatively with PPD risk (Beta = −0.171) in one study. However, the impact of other traits such as Openness and Agreeableness on PPD risk was less clear, with some studies indicating negligible effects. The review highlights Neuroticism as a consistent and significant predictor of PPD risk, with varying impacts from other personality traits. The findings suggest potential pathways for targeted interventions in maternal mental health care, emphasizing the need for comprehensive personality evaluations in prenatal and postnatal settings.

Causal effects of neuroticism on postpartum depression: a bidirectional mendelian randomization study.

Postpartum depression (PPD) brings adverse and serious consequences to both new parents and newborns. Neuroticism affects PPD, which remains controversial for confounding factors and reverse causality in cross-sectional research. Therefore, mendelian randomization (MR) study has been adopted to investigate their causal relationship. This study utilized large-scale genome-wide association study genetic pooled data from three major databases: the United Kingdom Biobank, the European Bioinformatics Institute, and the FinnGen databases. The causal analysis methods used inverse variance weighting (IVW). The weighted median, MR-Egger method, MR-PRESSO test, and the leave-one-out sensitivity test have been used to examine the results' robustness, heterogeneity, and horizontal pleiotropy. The fixed effect model yielded the results of meta-analysis. In the IVW model, a meta-analysis of the MR study showed that neuroticism increased the risk of PPD (OR, 1.17; 95% CI, 1.11-1.25, p < 0.01). Reverse analysis showed that PPD could not genetically predict neuroticism. There was no significant heterogeneity or horizontal pleiotropy bias in this result. Our study suggests neuroticism is the risk factor for PPD from a gene perspective and PPD is not the risk factor for neuroticism. This finding may provide new insights into prevention and intervention strategies for PPD according to early detection of neuroticism.

The association of domestic violence during pregnancy with maternal psychological well-being in the early postpartum period: A sample from women with low socioeconomic status in Eastern Turkey

AimTo examine the association of women's exposure to domestic violence during pregnancy with postpartum maternal psychological well-being (postpartum depression and anxiety) in the early postpartum period. MethodsThe sample of this descriptive correlational research study comprised 358 women. Data were collected using the Personal Information Form, the Domestic Violence Screening Tool, the Edinburgh Postnatal Depression Scale, and the Postpartum Specific Anxiety Scale. The one-way multivariate analysis of variance, and a multivariate linear regression analysis was performed to analysis of data. ResultsThe mean scores of the HITS, the EPDS, and the PSAS were 6.00±16.00, 7.47±5.57, and 72.02±18.63 respectively. Considering the cut-off values of the scales, the women were found to be at risk for exposure to domestic violence (20.1%), postpartum depression (24%), and postpartum anxiety (11.2%). Education level and having social security was significantly associated with women's HITS and PSAS score.Women with high mean domestic violence scores had high mean postpartum depression and postpartum anxiety scores. Women's mean domestic violence and postpartum anxiety scores were significantly and positively associated with their mean postpartum depression scores (p < 0.001). ConclusionThe results of this study revealed that women were frequently exposed to DV during pregnancy, education level and social security were important predictors of exposure to DV, and that DV associated with postpartum depression and postpartum anxiety. Exposure to DV and postpartum anxiety increased the risk of postpartum depression. It is recommended to integrate screening, guidance, and supportive counseling practices into routine antenatal care to improve the mental health of pregnant women at risk.

Prolonged HPA axis dysregulation in postpartum depression associated with adverse early life experiences: A cross-species translational study.

Childhood and adolescent stress increase the risk of postpartum depression (PPD), often providing an increased probability of treatment refractoriness. Nevertheless, the mechanisms linking childhood/adolescent stress to PPD remain unclear. Our study investigated the longitudinal effects of adolescent stress on the hypothalamic-pituitary-adrenal (HPA) axis and postpartum behaviors in mice and humans. Adolescent social isolation prolonged glucocorticoid elevation, leading to long-lasting postpartum behavioral changes in female mice. These changes were unresponsive to current PPD treatments but improved with post-delivery glucocorticoid receptor antagonist treatment. Childhood/adolescent stress significantly impacted HPA axis dysregulation and PPD in human females. Repurposing glucocorticoid receptor antagonists for some cases of treatment-resistant PPD may be considered.

Mendelian randomization analyses for the causal relationship between early age at first sexual intercourse, early age at first live birth, and postpartum depression in pregnant women.

There are insufficient epidemiological studies on the impact of age at first sexual intercourse (AFS) and age at first live birth (AFB) on postpartum depression (PPD) in pregnant women, and the conclusions of these studies are inconsistent. We performed a Mendelian randomization (MR) study to determine the causal relationship between AFS or AFB and the risk of PPD. The summary data were extracted from genome-wide association study (GWAS) summary datasets. We selected the instrumental variables according to the P value of exposure-related single nucleotide polymorphisms (P<5 ×10-9 for AFS and P<5 ×10-8 for AFB) and estimated the linkage disequilibrium using the clump parameter (10,000 kb, r2 < 0.001). Single nucleotide polymorphisms were considered instrumental variables that were significantly associated with exposure factors without linkage disequilibrium. The F-statistics of the instrumental variables should all be larger than 10.A random-effects model of IVW was constructed as the main method in our study. MR studies based on GWAS data revealed that both AFS (OR = 0.4, P <0.001) and AFB (OR = 0.38, P <0.001) were negatively correlated with the risk of PPD. Early AFS and early AFB should be studied as possible risk factors for PPD in the future. Public health departments should attach importance to sex education for young girls. The results of our TSMR should be verified by high-quality prospective epidemiological studies in the future.

Exploring a Potential Interaction Between the Effect of Specific Maternal Smoking Patterns and Comorbid Antenatal Depression in Causing Postpartum Depression.

To explore a potential interaction between the effect of specific maternal smoking patterns and the presence of antenatal depression, as independent exposures, in causing postpartum depression (PPD). This case-control study of participants with singleton term births (N = 51220) was based on data from the 2017-2018 Pregnancy Risk Assessment Monitoring System. Multivariable log-binomial regression models examined the main effects of smoking patterns and self-reported symptoms of antenatal depression on the risk of PPD on the adjusted risk ratio (aRR) scale and tested a two-way interaction adjusting for covariates selected in a directed acyclic graph (DAG). The interaction effects were measured on the additive scale using relative excess risk due to interaction (RERI), the attributable proportion of interaction (AP), and the synergy index (SI). Causal effects were defined in a counterfactual framework. The E-value quantified the potential impact of unobserved/unknown covariates, conditional on observed covariates. Among 6841 women in the sample who self-reported PPD, 35.7% also reported symptoms of antenatal depression. Out of 3921 (7.7%) women who reported smoking during pregnancy, 32.6% smoked at high intensity (≥10 cigarettes/day) in all three trimesters and 36.6% had symptoms of antenatal depression. The main effect of PPD was the strongest for women who smoked at high intensity throughout pregnancy (aRR 1.65; 95% CI: 1.63, 1.68). A synergistic interaction was detected, and the effect of all maternal smoking patterns was augmented, particularly in late pregnancy for Increasers and Reducers. Strong associations and interaction effects between maternal smoking patterns and co-occurring antenatal depression support smoking prevention and cessation interventions during pregnancy to lower the likelihood of PPD.

Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.

We developed and externally validated a machine-learning model to predict postpartum depression (PPD) using data from electronic health records (EHRs). Effort is under way to implement the PPD prediction model within the EHR system for clinical decision support. We describe the pre-implementation evaluation process that considered model performance, fairness, and clinical appropriateness. We used EHR data from an academic medical center (AMC) and a clinical research network database from 2014 to 2020 to evaluate the predictive performance and net benefit of the PPD risk model. We used area under the curve and sensitivity as predictive performance and conducted a decision curve analysis. In assessing model fairness, we employed metrics such as disparate impact, equal opportunity, and predictive parity with the White race being the privileged value. The model was also reviewed by multidisciplinary experts for clinical appropriateness. Lastly, we debiased the model by comparing 5 different debiasing approaches of fairness through blindness and reweighing. We determined the classification threshold through a performance evaluation that prioritized sensitivity and decision curve analysis. The baseline PPD model exhibited some unfairness in the AMC data but had a fair performance in the clinical research network data. We revised the model by fairness through blindness, a debiasing approach that yielded the best overall performance and fairness, while considering clinical appropriateness suggested by the expert reviewers. The findings emphasize the need for a thorough evaluation of intervention-specific models, considering predictive performance, fairness, and appropriateness before clinical implementation.

Social support during pregnancy and the risk of postpartum depression in Polish women: A prospective study

Social support has been proposed as an important determinant of women's physical and emotional well-being during pregnancy and after childbirth. Our study aimed to examine the association between the risk of postpartum depression (PPD) and perceived social support during pregnancy. A web-based prospective study survey was conducted among Polish women. The level of social support was measured with the Berlin Social Support Scales during pregnancy. Four weeks after the birth the risk of PPD was assessed using the Edinburgh Postpartum Depression Scale. Data from 932 mothers aged 19–43 (mean 30.95; SD 3.83) were analyzed using multinomial logistic regression. Higher perceived available support (emotional and instrumental), currently received support (emotional, instrumental and informational), satisfaction with the support, and sum of score were all associated with lower risk of PPD, after controlling for selected covariates (woman's age, socioeconomic status, parity status, place of residency, education, child's Apgar score, type of delivery, complications during birth, kin assisting the labor, breastfeeding). Our results suggest that the more social support the pregnant woman receives, the lower is her risk of PPD. Since humans evolved as cooperative breeders, they are inherently reliant on social support to raise children and such allomaternal help could improve maternal well-being.

Associations between Unplanned Pregnancy, Low Social Support, Domestic Violence, and Intrapartum Complication, with Postpartum Depression: Meta Analysis

Background: The postpartum period is a period where the risk of depression and other mental disorders generally increases due to the physiological and psychosocial changes that occur. The aim of this study was to measure the relationship using the meta-analysis method of unplanned pregnancy, poor social support, domestic violence, complications during childbirth with the incidence of postpartum depression..&#x0D; Subjects and Method: This research is a systematic review and meta-analysis. Article searches were carried out using PICO. Population: Postpartum women. Interventions: unplanned pregnancy, poor social support, domestic violence, and complications during childbirth. Comparison: planned pregnancy, good social support, no domestic violence, and no complications during childbirth. Outcome: Postpartum depression. The keywords used in the article search were "postpartum depression" AND "unplanned pregnancy" AND "poor social support" AND "intimate partner violence" AND “delivery complications”. Articles were obtained from several databases including Google Scholar, Pubmed, Science Direct from 2015-2023. Data is processed using the Review Manager Application (RevMan 5.3)&#x0D; Results:  Meta-analysis of 11 cross-sectional studies showed that unplanned pregnancy increased the risk of postpartum depression (aOR= 2.69; 95% CI= 2.30 to 3.16; p= 0.001). Meta-analysis of 11 cross-sectional studies showed that low social support increased the risk of postpartum depression (aOR= 2.35; 95% CI= 1.46 - 3.79; p= 0.004). Meta-analysis of 7 cross-sectional studies showed that partner violence increased the risk of postpartum depression (aOR= 2.82; 95% CI= 1.81 - 4.40; p= 0.001). Meta-analysis of 6 cross-sectional studies showed that complications during delivery increased the risk of postpartum depression (aOR= 2.20; 95% CI= 1.75 to 2.77; p= 0.001).&#x0D; Conclusion: Unplanned pregnancies, poor social support, partner violence, and complications during childbirth increase the risk of postnatal depression.&#x0D; Keywords: Unplanned pregnancy, social support, partner violence, postpartum depression.&#x0D; Correspondence: Wulan Adis Aranti. Master’s Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: wulanaranti@gmail.com.

The Effectiveness of Artificial Intelligence in Assisting Mothers with Assessing Infant Stool Consistency in a Breastfeeding Cohort Study in China.

Breastfeeding is widely recognized as the gold standard for infant nutrition, benefitting infants' gastrointestinal tracts. Stool analysis helps in understanding pediatric gastrointestinal health, but the effectiveness of automated fecal consistency evaluation by parents of breastfeeding infants has not been investigated. Photographs of one-month-old infants' feces on diapers were taken via a smartphone app and independently categorized by Artificial Intelligence (AI), parents, and researchers. The accuracy of the evaluations of the AI and the parents was assessed and compared. The factors contributing to assessment bias and app user characteristics were also explored. A total of 98 mother-infant pairs contributed 905 fecal images, 94.0% of which were identified as loose feces. AI and standard scores agreed in 95.8% of cases, demonstrating good agreement (intraclass correlation coefficient (ICC) = 0.782, Kendall's coefficient of concordance W (Kendall's W) = 0.840, Kendall's tau = 0.690), whereas only 66.9% of parental scores agreed with standard scores, demonstrating low agreement (ICC = 0.070, Kendall's W = 0.523, Kendall's tau = 0.058). The more often a mother had one or more of the following characteristics, unemployment, education level of junior college or below, cesarean section, and risk for postpartum depression (PPD), the more her appraisal tended to be inaccurate (p < 0.05). Each point increase in the Edinburgh Postnatal Depression Scale (EPDS) score increased the deviation by 0.023 points (p < 0.05), which was significant only in employed or cesarean section mothers (p < 0.05). An AI-based stool evaluation service has the potential to assist mothers in assessing infant stool consistency by providing an accurate, automated, and objective assessment, thereby helping to monitor and ensure the well-being of infants.

Biopsychosocial Predictors of Postpartum Depression: Protocol for Systematic Review and Meta-Analysis.

During the postpartum period, psychological disorders may emerge. Aims and objectives: With the current study, we aim to explore the biological determinants that act on women during labor and incur the risk for postpartum depression (PPD). To reach the aim, we will perform the following tasks: (i) identify biological peripartum risk factors and calculate pooled prevalence of PPD for each of them; (ii) explore the strength of the relationship between peripartum risk factors and PPD; (iii) rank the predictors by their prevalence and magnitude of association with PPD. The knowledge obtained will support the development and implementation of early diagnostic and preventive strategies. Methods and analysis: We will systematically go through peer-reviewed publications available in the PubMed search engine and online databases: Scopus, Web of Science, EMBASE. The scope of the review will include articles published any time in English, Arabic, or Polish. We will deduplicate literature sources with the Covidence software, evaluate heterogeneity between the study results, and critically assess credibility of selected articles with the Joanna Briggs Institute's bias evaluation tool. The information to extract is the incidence rate, prevalence, and odds ratio between each risk factor and PPD. A comprehensive analysis of the extracted data will allow us to achieve the objectives. The study findings will contribute to risk stratification and more effective management of PPD in women.

Association between postpartum depression and postpartum hemorrhage: A systematic review and meta-analysis.

Postpartum depression (PPD) is a growing mental health concern worldwide and has detrimental effects on the social and cognitive health of both mothers and infants. This review was performed to assess the risk of PPD in women with postpartum hemorrhage (PPH) and to identify potential moderators. The review protocol was registered in the PROSPERO database on June 17, 2023 (registration number: CRD42023432955). Two researchers independently performed a literature search of the PubMed, Embase, and Web of Science databases for articles published before May 25, 2023, with no filters and no language or location restrictions. Study quality was evaluated using the Newcastle-Ottawa Scale. The primary outcome was the odds ratio (OR) and 95% confidence interval (CI) of PPD in women with vs. without PPH. We performed sensitivity analyses and meta-regression analyses to resolve heterogeneity. Meta-regression analyses included the effects of age, maternal smoking, marital status, preterm labor, maternal education level, preeclampsia, anemia during pregnancy, and cesarean section. In total, seven studies involving 540 558 participants met the eligibility criteria and were included in the meta-analysis. Women with PPH were at increased risk of PPD compared with women without PPH (OR 1.10; 95% CI 1.03-1.16), and heterogeneity was low (I2  = 23%; τ2  = 0.0007; p = 0.25). Moreover, the results of the sensitivity analyses showed that the I2 value decreased from 23% to 0% after excluding one particular study, which may have been a source of heterogeneity. In the meta-regression analyses, the OR of PPD was greatly affected by maternal smoking (OR -0.26; 95% CI -0.30 to -0.22; p < 0.001). However, we did not observe any effects for maternal age, marital status, preterm labor, maternal education level, preeclampsia, anemia during pregnancy, or cesarean section. Women with PPH must be closely monitored because they have a higher risk of PPD than women without PPH. Early recognition and management of these patients will improve treatment outcomes, maternal health, and newborn development.

Examination of risk factors for high Edinburgh postnatal depression scale scores: a retrospective study at a single university hospital in Japan

BackgroundPerinatal mental health, such as postpartum depression, is an important issue that can threaten the lives of women and children. It is essential to understand the risk factors in advance and intervene before they can lead to postnatal depression. The risk factors of postpartum depression are reported to vary considerably in Japan. This study aimed to evaluate the risk factors for women with high Edinburgh Postnatal Depression Scale (EPDS) scores and to find women who may need our intervention to prevent postpartum depression.MethodsThis was a retrospective observational study conducted at a single center. At the one-month check-up after birth, the EPDS test was performed in 1625 women who gave birth at our hospital from 2008 to 2016. We evaluated maternal, birth, neonatal and social factors and the breastfeeding status from medical records. Thereafter, we examined the factors that contributed to a high EPDS score.ResultsThere were 284 women in the high-score group with an EPDS of ≥ 9, and 1341 women in the low-score group with an EPDS score ≤ of 8. Maternal mental disorders and neonatal transport were significantly associated with high EPDS scores. Conversely, exclusive breastfeeding was significantly associated with the low-score EPDS group.ConclusionsThe principal factor for high EPDS scores was a mental disease. Based on this result, we suggest that early intervention in women at high risk for postpartum depression could prevent serious consequences such as abuse and suicide.

Relationship Between the Risk of Postpartum Depression and Maternal and Infant Attachment Bonding

Introduction: Childbirth has psychological, emotional and physical impacts, involving the acquisition of new roles and parenting tasks that the mother must face. These changes can result in stress for the mother, prolonged stress causes the mother to be at risk of postpartum depression. One of the impacts is the bonding attachment of mother and baby. Objective: This study aims to determine the relationship between the risk of postpartum depression and the bonding attachment of mother and baby. Research Place: Umban Sari Community Health Center Working Area. Method: This research uses the correlation method. The research sample of 83 respondents used purposive sampling technique. The bivariate analysis used was the chi-square test. Results: The results of the statistical test analysis obtained a p-value = 0.02 0.05 with an OR value = 6.8. Conclusion: There is a significant relationship between the risk of postpartum depression and bonding attachment between mother and baby. Suggestion: After giving birth, many mothers are not aware of the symptoms of depression that occur, therefore the importance of health education and depression screening programs to prevent postpartum depression.

How Do Birth Satisfaction, Perceived Stress, and Some Factors Affect the Risk of Postpartum Depression?

This research was carried out to determine the effects of birth satisfaction, perceived stress level and some factors on postpartum depression (PPD). In the study; cross-sectional, descriptive, correlational and predictive research designs were used. 446 women who met the inclusion criteria participated in the study. The average age of the women was 28.48±57.14 (min-max: 19-44). While 13.9% of women were at risk of PPD and there was a negative and moderate relationship between birth satisfaction and PPD risk (r=-0.403), a negative but low-level significant relationship was obtained between perceived stress (r=-0.325). Among the socio-demographic variables, the education level has the highest impact, while among the obstetric characteristics, the disease status of the baby has the highest impact. Perceived stress has the greatest effect compared to all variables. In this study risk of PPD; It was determined that birth satisfaction had a negative effect and perceived stress had a positive effect. Among the socio-demographic characteristics; age (35 years and above), education level; place of residence, obstetric characteristics; It was concluded that pregnancy planning, pregnancy problems, baby’s health, pregnancy follow-up and birth support factors are effective on the risk of PPD.

Sleep and Mood Among Women With Histories of Depression When They Used a Responsive Infant Bassinet During the COVID-19 Pandemic

ObjectiveTo describe the experiences of women with histories of depression who used a responsive infant bassinet during the first 6 months after birth during the COVID-19 pandemic. DesignSecondary qualitative descriptive study with analytic expansion. SettingUnited States. ParticipantsWomen (N = 139) who gave birth up to 6 months previously and had histories of depression. MethodsWe used Kyngäs’s method of inductive content analysis to analyze 109 open-ended responses that were collected between August 2020 to November 2021 as part of a previously conducted longitudinal study of women who used a responsive bassinet. ResultsMost participants indicated that the responsive bassinet improved their infants’ sleep, which, in turn, subjectively improved their sleep and mood. External stressors and challenges presented barriers to good sleep for the participants and their infants, and participants described how these challenges contributed to their symptoms related to mood. When participants reported that they used the responsive bassinet, they shared that their infants were swaddled in the supine sleep position. Participants who did not use the bassinet commonly reported unsafe sleep practices. We identified seven themes from the data: Improved Maternal Sleep Quality, Barriers to Good Maternal Sleep, Mood and Sleep Go Hand and Hand, External Stressors Impair Mood, Improved Infant Sleep Quality, Barriers to Good Infant Sleep, and Safe Sleep Positioning. ConclusionThese findings can be used to inform clinicians on how a responsive bassinet may offer women at high risk for postpartum depression improved sleep and instrumental support. Future researchers should use validated measures to objectively evaluate rates of postpartum depression and sleep quality in high-risk women when using a responsive bassinet.

Knowledge Analysis of Postnatal Mother about Essential Newborn Care with Incidence of Postpartum Blues: A Cross-Sectional Study

Stress in the postpartum period can cause anxiety, fatigue, and decreased self-care associated with an increased risk of postpartum depression. In Indonesia, the incidence of postpartum blues is between 50-70%. This study assessed knowledge of essential newborn care among postnatal mothers and identified the incidence rate of postpartum blues. This cross-sectional study was conducted in Bengkulu city. Respondents of this research were 57 mothers who met the criteria included in the 2 weeks postpartum in Public Health Facilities. Mother’s knowledge was measured by Essential Newborn Care Questionnaire. The symptoms of postpartum blues were measured by the Edinburg Postnatal Depression Scale (EPDS). The contingency coefficient shows a relationship between mother’s knowledge about essential newborn care and the incidence of postpartum blues (p = 0.002; r = 0.380). The multiple logistic regression proved that knowledge is the main risk factor of postpartum blues (p 0.007; OR 6.039). The results of this study indicate that there is a significant relationship between maternal knowledge about essential newborn care and postpartum blues with a weak relationship. Those with poor knowledge, who are 6.039 times more risky than those with good knowledge, should be targeted for newborn care education.

Urban environment in pregnancy and postpartum depression: An individual participant data meta-analysis of 12 European birth cohorts

BackgroundUrban environmental exposures associate with adult depression, but it is unclear whether they are associated to postpartum depression (PPD). ObjectivesWe investigated associations between urban environment exposures during pregnancy and PPD. MethodsWe included women with singleton deliveries to liveborn children from 12 European birth cohorts (N with minimum one exposure = 30,772, analysis N range 17,686–30,716 depending on exposure; representing 26–46 % of the 66,825 eligible women). We estimated maternal exposure during pregnancy to ambient air pollution with nitrogen dioxide (NO2) and particulate matter (PM2.5 and PM10), road traffic noise (Lden), natural spaces (Normalised Difference Vegetation Index; NDVI, proximity to major green or blue spaces) and built environment (population density, facility richness and walkability). Maternal PPD was assessed 3–18 months after birth using self-completed questionnaires. We used adjusted logistic regression models to estimate cohort-specific associations between each exposure and PPD and combined results via meta-analysis using DataSHIELD. ResultsOf the 30,772 women included, 3,078 (10 %) reported having PPD. Exposure to PM10 was associated with slightly increased odds of PPD (adjusted odd ratios (OR) of 1.08 [95 % Confidence Intervals (CI): 0.99, 1.17] per inter quartile range increment of PM10) whilst associations for exposure to NO2 and PM2.5 were close to null. Exposure to high levels of road traffic noise (≥65 dB vs. < 65 dB) was associated with an OR of 1.12 [CI: 0.95, 1.32]. Associations between green spaces and PPD were close to null; whilst proximity to major blue spaces was associated with increased risk of PPD (OR 1.12, 95 %CI: 1.00, 1.26). All associations between built environment and PPD were close to null. Multiple exposure models showed similar results. DiscussionThe study findings suggest that exposure to PM10, road traffic noise and blue spaces in pregnancy may increase PPD risk, however future studies should explore this causally.