Background and Objective: Maternal depression is an important public health problem. Preterm labour, low birth weight, and intrauterine growth restriction have all been linked to antenatal depression, which is generally underdiagnosed. Postpartum depression has been linked to motherinfant bonding issues, child maltreatment, child neglect, maternal drug misuse, and self-harm in studies. Depression among pregnant and postpartum teenagers is prevalent in many parts of the world. The incidence of depression and its related risk factors among pregnant and postpartum adolescents in Sriperumbudhur, Chennai, is reported in this research. Methods: Descriptive cross-sectional research using a sample of 160 teenage girls using maternity health care in a medium-sized rural peripheral district hospital in Chennai was undertaken between June and November 2021. The Edinburgh Postnatal Depression Scale was used to examine pregnant and postnatal adolescents who took part in the study as the treatment of depression. Mean of parameters were assessed and correlation value were calculated by Fisher's exact test. The statistically signicant Pvalue was less than 0.05. Results: The sociodemographic factors have been demonstrated to have a major role in explaining the variation in prenatal and postpartum depression prevalence rates. According to the data, less than a third of pregnant women suffer from depression as a result of life events such as economic problems, which they must overcome in order to sustain their family. These were shown to be signicant risk factors (P>0.05). In the meanwhile, it was 9.4% (15/160) among postpartum participants. Physical violence (adjusted odds ratio (aOR) 7.32, 95% CI 1.66-29.44, p = 0:005), verbal abuse (aOR) 4.3, 95% CI 1.03-15.79, p = 0:03), and intimate partner violence (aOR) 9.58, 95% CI 1.58-48.82, p = 0:008) were all linked to postnatal depression. Conclusion: In the research sample, prenatal depression was more common than postpartum depression. As a result of the ndings, maternal healthcare providers are being advised to examine the mental health of pregnant and postpartum teenagers seeking treatment at health institutions.

Background: Women are twice as likely as males to suffer from mood disorders, which tend to cluster around the childbearing years. Depression negatively influences maternal and neonatal outcomes. Objective: The objective of the study is to estimate the prevalence of depression in pregnant women aged 18 – 35 yrs and to identify predictors accounting for variability across estimates during pandemic. Methodology: This is a cross sectional study, conducted among 74 pregnant women coming for antenatal checkups in the Sriperumbudur, Chennai. Using height and weight values obtained from the sample, Body Mass Index (weight in kg/height in metre squares) was calculated. Hamilton – Depression Scale (HAM-d) was applied after initial psychiatry work up to all women who were selected for the interview. Mean of parameters were assessed and correlation value were calculated by Fisher’s exact test. The statistically significant P value was less than 0.05. Results: The sociodemographic variables have been found as significant contributors in explaining the variability of the prevalence rates of antenatal depression. It showed positive correlation between economic status and depression (p<0.05) and a negative correlation between obesity and depression (p>0.05). According to the findings, fewer than 1/3rd of pregnant women experience depression as a result of life circumstances such as economic crises in order to support their families. These were identified as significant associate variables (P>0.05). And also, this study identified insufficient socioeconomic assistance were more likely to experience multiple psychological discomfort [atleast 1] than women who got appropriate economic support. (r = -0.118, P < 0.001) Conclusion: In rural Tamilnadu, the prevalence of antenatal depression among women is significant. Antenatal Depression is caused by a number of circumstances, including physical, obstetric, economic, and family-related issues. To treat these antenatal depression risk factors, comprehensive therapies are required.