Data for Postpartum Depression Prediction in Bangladesh

This dataset (n=800) explores risk factors for postpartum depression (PPD) in Bangladesh. Data was collected from postpartum women (birth within 24 months) across various locations (health complexes, hospitals, clinics, and rural areas and residential areas in major cities). Participation was voluntary and required informed consent.

The dataset includes sociodemographic (age, residence, education, marital status, occupation, income), familial (husband's education/income, family type, household members, relationship with family), personal health (addiction, children, pregnancy history, abuse, depression history, chronic diseases), and neonatal health-related variables (pregnancy details, birth details, newborn health, postpartum feelings) variables. For depression screening, PHQ-2, EPDS, and PHQ-9 scores are included.

The data was digitized after collection. This dataset can be used to investigate the prevalence of PPD, identify risk factors, and develop predictive models. Limitations include self-reported data, screening tools vs. diagnosis, and potential sampling bias.
The dataset has shown, about 44% of the participants are in the risk of high level of postpartum depression, based on the EPDS scoring and 28% of the participants are in the risk of sever and moderately severe postpartum depression, based on the PHQ-9 scoring.