Issue |
E3S Web Conf.
Volume 609, 2025
The 7th International Conference on Multidiscipline Approaches for Sustainable Rural Development (ICMA SURE 2024)
|
|
---|---|---|
Article Number | 04002 | |
Number of page(s) | 5 | |
Section | Health Sciences | |
DOI | https://doi.org/10.1051/e3sconf/202560904002 | |
Published online | 24 January 2025 |
Pregnant Women's Depression and Mental Health Knowledge
1 Department of Nursing, Faculty of Health Sciences, Universitas Jenderal Soedirman, Purwokerto, Indonesia
2 Postgraduate Students, College of Nursing, Ewha Womans University, Seoul, Korea
* Corresponding author: lutfatul.latifah@unsoed.ac.id
Understanding maternal mental health is crucial for the prevention and management of antenatal depression. This study aimed to determine the level of mental health knowledge of pregnant women who experienced depressive symptoms. A cross-sectional study of 175 pregnant women, each with Edinburgh Postnatal Depression Scale (EPDS) scores ≥ 11, was collected using non-probability sampling techniques. Mental health knowledge was evaluated using the Mental Health Knowledge Scale (MHKS). Univariate and bivariate analyses determined the association among knowledge, antenatal depression, and participants' characteristics. The mean score of the MHKS was 14.08 out of 20 points (70.4%), and the standard deviation was 3.26. Spearman correlation analysis revealed a statistically significant association between the total knowledge score and the depression score (r=0.221, p=0.003). A Kruskal Wallis test indicated a relationship between the depression score and type of family (p=0.016), concerns about the cost of childbirth (p=0.005), history of depression (p=0.031), and gestational age (p=0.035). These results imply that the women with higher mental health knowledge were more likely to have higher EPDS scores. In conclusion, the findings indicate that women’s knowledge levels exhibit substantial variability. The improvement of mental health knowledge among pregnant women is essential for reducing the risk associated with depression.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.