Predictors of Postnatal Depression from a Longitudinal Survey in Rural India

A dataset for multivariate logistic regression analysis of postnatal depression predictors. The data likely contains variables related to depressive symptoms, birth outcomes, and intimate partner violence, based on a longitudinal survey in rural Chatra District. It was authored by Deepak and last updated on March 19, 2026.

Use Cases

• Predict postnatal depression risk based on antenatal depressive symptoms.
• Analyze associations between intimate partner violence and postnatal depression.
• Model the relationship between birth outcomes like low birth weight and postnatal depression.

Strengths

• Dataset includes 967 observations, providing a substantial sample size.
• Platform tags indicate strong internal consistency (Cronbach's alpha) for measurement scales.
• Data is licensed under CC-BY-4.0, allowing for open reuse and modification.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (13.5 KB), indicating limited scope and likely few variables.

Provenance

Source

figshare

Collection Method

Based on a longitudinal survey using multistage random sampling.

Freshness

Last updated 2026-03-19 17:28:30; freshness should be verified.

Geography

Rural Chatra District, India.