Work

A comprehensive dataset for postpartum depression prediction among bangladeshi mothers: Sociodemographic, obstetric, and psychosocial factors with class imbalance insights

Year: 2026

Type: data-paper

Abstract: Postpartum depression (PPD) is currently a serious mental disorder that occurs after childbirth. It affects the well-being of both the mother and the child. However, early screening is still limited in low- and middle-income countries like Bangladesh due to socio-economic challenges and social stigma. This paper presents a comprehensive and multidimensional dataset consisting of 766 participants to facilitate data-driven PPD research. The participating women were between the ages of 18-41 years. The data were collected through a cross-sectional study using face-to-face interviews and hospital records at LABAID Diagnostics, Pabna, Bangladesh, between March and June 2025. The dataset integrates 51 variables, including relevant factors such as sociodemographic factors, obstetric history, neonatal details, and psychosocial indicators. Maternal health was assessed using standardized screening tools: PHQ-2 and PHQ-9 for symptoms before and during pregnancy, and Edinburgh Postpartum Depression Scale (EPDS) for postpartum symptoms. Results indicated that the prevalence of depression during pregnancy among the participants was 40.47%. A key feature of this dataset is the clear reporting of class imbalance, which can be reused for statistical analysis, epidemiological studies, and validation of depression screening tools, making it a valuable resource for building robust machine learning (ML) and interpretable AI (XAI) models for early risk prediction. This study fills an important gap in publicly available, high-quality maternal health information in the South Asian context. It also provides the basis for evidence-based interventions and targeted support for at-risk mothers.

Source: Data in Brief

DOI: 10.1016/j.dib.2026.113210

Authors: Shahriar Siddique Ayon, Shahidul Morsalin Jahin, Md. Ebrahim Hossain, Md. Saef Ullah Miah, Kazi Mostaq Hridoy, B.M. Mredul Arafin, Anik Dey Shaon, Md Rakibul Islam, M.F. Mridha

Institutions: American International University-Bangladesh, North South University, East West University, Southeast University, University of Chittagong, Mälardalen University

Language: English

Topic: Maternal Mental Health During Pregnancy and Postpartum

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: gold

Estimated APC paid: $1,220

OpenAlex ID: W7204687220

Cites: 12

Cited by:

Related to: 10