The Relationship Between Maternal Self-confidence and Postpartum Depression in Primipara Mothers: A Follow-Up Study

Depressive symptoms during pregnancy and postpartum: associations with mode of conception and demographic and obstetric factors

An increasing number of women are conceiving through assisted reproductive technology; however, few studies have investigated their mental health after successful conception. This study investigated the changes in depressive symptoms in women using assisted reproductive technology and the association between the mode of conception and perinatal depressive symptoms. A longitudinal observational study was conducted from 2015 to 2019, 542 pregnant women completed questionnaires on depressive symptoms at eight timepoints during the prepregnancy, pregnancy and first-year postpartum periods. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale. A generalized estimating equation regression model was employed for repeated measures. In the assisted reproductive technology group, depressive symptoms were more prevalent during early pregnancy and at 1 month postpartum than before pregnancy, and more prevalent before pregnancy and at 1 month after childbirth than in the spontaneous conception group. No significant association was identified between the mode of conception and depressive symptoms during the antenatal or postnatal period. The lack of full-time employment and prepregnancy depressive symptoms were associated with antenatal depressive symptoms. Primipara status and depressive symptoms during prepregnancy and pregnancy were associated with depressive symptoms during the first-year postpartum. Assisted reproductive technology was not a risk factor for depressive symptoms during the pregnancy and postpartum periods, whereas primipara status, lack of full-time employment and prepregnancy depressive symptoms were negative predictors. Therefore, targeted mental health interventions should address these specific factors to effectively support maternal mental health.

Association between Edinburgh Postnatal Depression Scale and Serum Levels of Ketone Bodies and Vitamin D, Thyroid Function, and Iron Metabolism

Suicide due to postpartum depression is the most common perinatal-related death and is a social concern in Japan. Nutritional deficiencies during pregnancy may contribute to postpartum depression; therefore, we investigated the relationship between postpartum depression and nutritional status during pregnancy and postpartum. We focused specifically on ketone bodies because they are known to protect brain cells. The relationship between the Edinburgh Postnatal Depression Scale (EPDS) scores and the serum levels of ketone bodies and vitamin D, thyroid function, and iron metabolism was examined. Overall, 126 pregnant women were identified for the study, and 99 were eventually included in the analysis. We defined an EPDS score of ≥9 as being positive for postpartum depression, and serum ketone levels were found to be higher in the group with an EPDS score of ≥9 during the second trimester; however, there were no other significant findings. We may be able to predict postpartum depression from a pregnant woman's serum ketone levels in the second trimester. There was a positive correlation between the EPDS scores at 3 days and 1 month postpartum (r = 0.534, p < 0.001). EPDS scores assessed in the early postpartum period may be useful for the timely detection of postpartum depression.

Relationship between Edinburg Postnatal Depression Scale (EPDS) Scores in the Early Postpartum Period and Related Stress Coping Characteristics

Despite postpartum depression being a common mental health problem, there is no screening method for it. The only risk assessment used is the Edinburgh Postnatal Depression Scale (EPDS). We investigated the relationship between Brief Scale for Coping Profile (BSCP) subscales performed during pregnancy and EPDS scores. We recruited 353 women with normal pregnancies (160 primiparas, and 193 multiparas) and performed BSCP at 26 weeks of gestation. The EPDS was first performed within one week after delivery (T1), and then after one month (T2). Spearman’s correlation coefficients were calculated for the BSCP and EPDS for the whole and primi/multipara groups. Multiple regression analysis was performed with the EPDS T2 scores as the dependent variable. The EPDS scores were higher in the primipara group compared to the multipara (p < 0.001), and the EPDS T1 scores were higher than the overall T2 score (p < 0.001). In the multiple regression analysis, EPDS T1 and the “seeking help for solution” subscale were selected as significant explanatory variables when analyzed in the whole group; EPDS T1 and “active solution” for the primiparas; and EPDS T1, “changing mood”, and “seeking help for solution” for the multiparas. The BSCP can be used as a screening tool for postpartum depression during pregnancy.

Effect of Narrative Nursing Combined with Thinking Map Health Education on Parturient Self-Efficacy and Neonatal Nursing Ability

The motivation behind this study is to explore the influence of narrative nursing combined with thinking map health education on parturient self-efficacy and neonatal nursing ability. To verify this claim, we have selected 60 parturients who were treated in the hospital from February 2019 to April 2021. Moreover, these patients were randomly assigned to control and study groups. The former received narrative nursing, and the latter received narrative nursing combined with thinking map health education. The nursing satisfaction, maternal and neonatal nursing ability, maternal health knowledge awareness score, maternal self-efficacy, anxiety, and depression scores were compared. Initially, we have compared the nursing satisfaction: in the study group, 22 cases were satisfied, 8 cases were basically satisfied, and 0 cases were dissatisfied, and the satisfaction rate was 100.00%; in the control group, 12 cases were satisfied, 14 cases were basically satisfied, and 4 cases were dissatisfied, and the satisfaction rate was 86.67%. The nursing satisfaction in the study group was higher compared to the control group (P < 0.05). Secondly, we compared the mastery of neonatal nursing ability. The study group mastered the relevant knowledge of neonatal nursing in 23 cases, basically mastered 6 cases, and did not master 1 case, with a mastery rate of 96.67%. The control group mastered the knowledge of neonatal nursing in 12 cases, basically mastered 10 cases, and did not master 8 cases with a mastery rate of 73.33%. In the comparison between the two groups, the mastery of neonatal nursing ability in the study group was higher compared to the control group (P < 0.05). Considering the scores of maternal health knowledge, the scores of neonatal basic nursing, physiological characteristics, breastfeeding methods, environmental nursing knowledge, vaccination, and physical examination requirements in the study group were higher compared to the control group (P < 0.05). In the comparison of maternal self-efficacy, the total scores for promoting development, health care, safety, feeding, and self-efficacy in the study group were significantly higher compared to the control group (P < 0.05). Finally, we compared the scores for anxiety and depression. Before nursing, there exhibited no significant difference (P > 0.05). After nursing, the anxiety and depression scores decreased. Furthermore, the anxiety and depression scores of the study group were lower compared to the control group (P < 0.05). In the health education of primary parturient, the adoption of narrative nursing combined with thought guiding schema can enhance the level of nursing satisfaction and self-efficacy, strengthen the nursing ability of primiparas and the awareness rate of health knowledge, and reduce the occurrence of a maternal bad mood, which is more in line with the requirements of parturient.

Predictors of maternal role adaptation in Iranian women: a cross-sectional study

BACKGROUND

Numerous factors play a role in maternal identity formation and function. Recognizing the aspects related to adaptation to the mother role can effectively provide a solution to help mothers construct maternal roles. Consequently, this study aimed to determine the predictors of adaptation to the maternal role in Iranian women.

METHODS

This cross-sectional study was performed on 564 women who gave birth within one to four months after delivery with a record in Tabriz-Iran health centers, 2020-21. Participants were selected by cluster sampling. Data were collected using questionnaires of socio-demographic and obstetrics characteristics, Birth Satisfaction Scale-Revised (BSS-R), Lipz Maternal Self-Confidence Scale (LMSCS), and maternal role adaptation questionnaire. The general linear model was used to estimate the effect of each of the independent variables (socio-demographic and obstetrics characteristics, childbirth satisfaction, and self-confidence) on the dependent variable (maternal role adaptation).

RESULTS

The mean (± SD) total scores of adaptation to the maternal role, childbirth satisfaction, and maternal self-confidence were 77.4 (± 15.2) (score range: 33-165), 17.0 (± 5.9) (score range: 0-40), and 65.1 (± 13.5) (score range: 24-144), respectively. Based on the Pearson correlation test, there was a significant direct correlation between the overall score of adaptation to the maternal role with childbirth satisfaction (r = 0.462, P < 0.001) and maternal self-confidence (r = 0.652, P < 0.001). Based on the adjusted general linear model, the variables of maternal self-confidence, childbirth satisfaction, adequacy of household income, and spouse support were predictors of adaptation to the mother role. They explained 50.6% of the variance in the adaptation to the mother role score.

CONCLUSIONS

Concerning the study results, adaptation to the maternal role is related to childbirth satisfaction and some socio-demographic variables. Therefore, considering the impact of maternal role on other aspects of women's life and child care, healthcare providers' and policymakers' critical role is to create positive childbirth experiences and strengthen mothers' self-confidence.

The effect of Web-based preterm infant care training on mothers' self-confidence

The internet can be used as an alternative method in infant care education for mothers of preterm infants. This study was conducted to examine the effect of the Web-based infant care training program given to mothers of preterm infants on the self-confidence levels of mothers. This nonrandomized controlled study with a posttest design was conducted in Ministry of Health training and research hospital and university hospital. The study group comprised 84 mothers and their infants (intervention group: N = 42; control group: N = 42). Mothers with preterm infants in the intervention group participated in the Web-based program. The self-confidence of the mothers was evaluated before and after the training. The mothers' Pharis self-confidence scale mean scores were higher than the control group, but there was no significant difference. Web-based education program can be an alternative method that can be used in the education of mothers with preterm infants.

Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes

Objective

Development of novel informatics methods focused on improving pregnancy outcomes remains an active area of research. The purpose of this study is to systematically review the ways that artificial intelligence (AI) and machine learning (ML), including deep learning (DL), methodologies can inform patient care during pregnancy and improve outcomes.

Materials and methods

We searched English articles on EMBASE, PubMed and SCOPUS. Search terms included ML, AI, pregnancy and informatics. We included research articles and book chapters, excluding conference papers, editorials and notes.

Results

We identified 127 distinct studies from our queries that were relevant to our topic and included in the review. We found that supervised learning methods were more popular (n = 69) than unsupervised methods (n = 9). Popular methods included support vector machines (n = 30), artificial neural networks (n = 22), regression analysis (n = 17) and random forests (n = 16). Methods such as DL are beginning to gain traction (n = 13). Common areas within the pregnancy domain where AI and ML methods were used the most include prenatal care (e.g. fetal anomalies, placental functioning) (n = 73); perinatal care, birth and delivery (n = 20); and preterm birth (n = 13). Efforts to translate AI into clinical care include clinical decision support systems (n = 24) and mobile health applications (n = 9).

Conclusions

Overall, we found that ML and AI methods are being employed to optimize pregnancy outcomes, including modern DL methods (n = 13). Future research should focus on less-studied pregnancy domain areas, including postnatal and postpartum care (n = 2). Also, more work on clinical adoption of AI methods and the ethical implications of such adoption is needed.