Data Insights on Postpartum Depression Among Women in Niger State, Nigeria

This dataset provides comprehensive insights into the influence of information sources and social factors on postpartum depression (PPD) awareness and help-seeking behavior among women in Northern Nigeria. Collected through a cross-sectional survey of 384 women aged 18-49 in Niger State, the data captures demographic profiles, preferred communication channels (interpersonal, electronic, and print media), and their impact on PPD knowledge and health-seeking actions.
Key features of the dataset include:
Demographic details: Age, education, employment, marital status, religion, and parity, highlighting disparities in access to information and support.
Measurement models: Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (PLS-SEM) results validate the reliability and validity of constructs like PPD knowledge and help-seeking behaviour.
Path analysis: Reveals significant relationships, such as interpersonal and electronic media's strong influence on PPD awareness (β = 0.525–0.551), compared to print media's marginal impact (β = 0.200–0.225).
Methodological rigor: Multistage stratified sampling ensured urban-rural representation, while SmartPLS-SEM and bootstrapping tested theoretical frameworks like the Theory of Planned Behaviour.
The dataset, hosted on the Mendeley Data repository, supports the development of customised maternal mental health interventions, policy design, and cross-cultural research in low-resource settings. Its granularity enables replication, secondary analysis, and comparative studies on health communication efficacy.
Keywords: Postpartum depression, help-seeking behaviour, information sources, SmartPLS-SEM, Northern Nigeria.