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Background: Depression is the most common complication postpartum affecting 10%–15% of women, contributing greatly to maternal mortality and morbidity, but the care availed is very low among the women who suffer. Objective: The aim is to study the prevalence of postpartum depression among recently delivered women in a rural population and the health care utilization pattern for the condition among women. Methodology: This was conducted as a population-based cross-sectional study in a rural population served by primary health center. All women in the study area who had a pregnancy outcome during the past 6 months and have completed 42 days since their last delivery were included in the study. The data on postpartum depression were collected using the Edinburgh Postnatal Depression Scale (EPDS). Results: There were 365 postpartum women in the study area who participated in the study. Mean age of the study participants was 24.5 years. The deliveries were Institutional in 97.8% of women. The prevalence of depression among the study women (an EPDS score of 10 and above) was 11%. Among women with depression, a history of depression before the last delivery was given by 42.5% of women. Only 7.5% of women had sought some form of health care for their problem. Conclusion: The study shows that the prevalence of depression among postpartum women is quite high and the health seeking for depression is very low. Health professionals and workers have to be trained to raise awareness, detect, and treat depression among postpartum women promptly.

Background: The relationship between postpartum depression symptoms (PPDS) and gestational weight gain is controversial. We aimed to examine the risk of gestational weight gain for PPDS at 1 month postpartum based on the pre-pregnancy body mass index (BMI).Methods: A prospective cohort study recruited 80 927 Japanese women 2011-2014. They categorized according to their pre-pregnancy BMI into group 1 (<18.5 kg/m2), group 2 (18.5 to <20.0 kg/m2), group 3 (20.0 to <23.0 kg/m2), group 4 (23.0 to <25.0 kg/m2), and group 5 (≧25.0 kg/m2). Multiple logistic regression analysis was performed for each BMI category to identify potential risk factors of insufficient or excessive gestational weight gain associated with PPDS, following adjustments for maternal age, education, annual household income, smoking, parity, mode of delivery, cessation of breast feeding, psychological stress, and daily energy intakes during pregnancy.Results: Among participants in group 3, insufficient gestational weight gain was a risk factor for PPDS (adjusted odds ratio: 1.24, 95% confidence interval: 1.14-1.36). This result was not modified by intermediate factors.Limitations: The criteria of appropriate gestational weight gain were determined from the adverse pregnancy outcomes not validated for PPDS. Other confounding factors for PPDS like psychotic disorders were not examined.Conclusions: For women with a pre-pregnancy BMI between 20.0 and <23.0 kg/m2, insufficient gestational weight gain is a risk factor for PPDS. Therefore, monitoring gestational weight gain is recommended for the early detection of PPDS in these women. [ABSTRACT FROM AUTHOR]

Aim The aim of the present study was to examine the possibility of screening apprehensive pregnant women and mothers at risk for post-partum depression from an analysis of the textual data in the Mother and Child Handbook by using the text-mining method. Methods Uncomplicated pregnant women ( n = 58) were divided into two groups according to State-Trait Anxiety Inventory grade (high trait [group I, n = 21] and low trait [group II, n = 37]) or Edinburgh Postnatal Depression Scale score (high score [group III, n = 15] and low score [group IV, n = 43]). An exploratory analysis of the textual data from the Maternal and Child Handbook was conducted using the text-mining method with the Word Miner software program. A comparison of the 'structure elements' was made between the two groups. Results The number of structure elements extracted by separated words from text data was 20 004 and the number of structure elements with a threshold of 2 or more as an initial value was 1168. Fifteen key words related to maternal anxiety, and six key words related to post-partum depression were extracted. Conclusion The text-mining method is useful for the exploratory analysis of textual data obtained from pregnant woman, and this screening method has been suggested to be useful for apprehensive pregnant women and mothers at risk for post-partum depression. [ABSTRACT FROM AUTHOR]