Research Article
Have access already?
Get access to this article:
Or get access to the particular issue:
- Perpetual access Add to cart ($49.95)
Or get access to the entire journal:
Abstract
BACKGROUND
Antenatal depression is the most common psychiatric disorder during pregnancy with serious consequences for the mother and the fetus. However, there are few studies about this health issue in developing countries. This study aimed to determine the prevalence of antenatal depression and its associated risk factors among pregnant mothers attending antenatal care service at Jinka public health facilities, south Omo zone, Southern Ethiopia.
METHODS
Institutional-based cross-sectional study design was conducted on 446 pregnant women at Jinka public health facilities, from June 1 to June 30, 2018. Beck Depression Inventory was used to assess women's level of depression. Statistical package for social science version 20.0 was used for analysis. Logistic regression was used to find out the association between explanatory and depression. The strength of association was evaluated using odds ratio at 95% confidence interval (CI).
RESULT
The magnitude of antenatal depression in this study was 24.4% (20.2–28.5 at 95% CI) and it had statistically significant association with unmarried marital status adjusted odds ratio (AOR) = 13.39 [(95% CI); (3.11–57.7)], chronic medical illness AOR = 3.97 [(95% CI); (1.07–14.7)], unplanned pregnancy AOR = 6.76 [(95% CI); (2.13–21.4)], history of abortion AOR = 2.8 [(95% CI); (1.14–7.02)], history of previous pregnancy complication AOR = 4.8 [(95% CI); (2.12–17.35)], and fear of pregnancy-related complications AOR = 5.4 [(95% CI); (2.32–12.4)].
CONCLUSIONS
Nearly one pregnant woman develops antenatal depression in every four pregnant women. Variables like unmarried marital status, chronic medical illness and unplanned pregnancy, history of previous pregnancy complications, and fear of pregnancy-related complications were associated with antenatal depression. Therefore, it is recommended that these risks factors should be evaluated during antenatal care with a view to improving maternal health.
Period | Abstract | Full | Total | |
---|---|---|---|---|
Apr 2024 | 50 | 0 | 1 | 51 |
Mar 2024 | 20 | 0 | 0 | 20 |
Feb 2024 | 15 | 0 | 0 | 15 |
Jan 2024 | 32 | 0 | 0 | 32 |
Dec 2023 | 20 | 0 | 0 | 20 |
Nov 2023 | 7 | 0 | 0 | 7 |
Oct 2023 | 12 | 0 | 0 | 12 |
Sep 2023 | 12 | 0 | 0 | 12 |
Aug 2023 | 5 | 0 | 0 | 5 |
Jul 2023 | 10 | 0 | 0 | 10 |
Jun 2023 | 14 | 0 | 0 | 14 |
May 2023 | 16 | 0 | 0 | 16 |
Apr 2023 | 6 | 0 | 0 | 6 |
Mar 2023 | 18 | 0 | 0 | 18 |
Feb 2023 | 16 | 0 | 0 | 16 |
Jan 2023 | 30 | 0 | 0 | 30 |
Dec 2022 | 19 | 0 | 0 | 19 |
Nov 2022 | 48 | 0 | 0 | 48 |
Oct 2022 | 30 | 0 | 0 | 30 |
Sep 2022 | 19 | 0 | 0 | 19 |
Aug 2022 | 25 | 0 | 0 | 25 |
Jul 2022 | 31 | 0 | 0 | 31 |
Jun 2022 | 21 | 0 | 0 | 21 |
May 2022 | 35 | 0 | 0 | 35 |
Apr 2022 | 13 | 0 | 0 | 13 |
Mar 2022 | 23 | 0 | 0 | 23 |
Feb 2022 | 40 | 0 | 0 | 40 |
Jan 2022 | 12 | 1 | 1 | 14 |
Dec 2021 | 271 | 0 | 0 | 271 |
Nov 2021 | 462 | 0 | 0 | 462 |
Oct 2021 | 442 | 0 | 0 | 442 |
Sep 2021 | 379 | 0 | 0 | 379 |
Aug 2021 | 314 | 0 | 0 | 314 |
Jul 2021 | 722 | 0 | 0 | 722 |
Jun 2021 | 752 | 2 | 1 | 755 |
May 2021 | 482 | 0 | 0 | 482 |
Apr 2021 | 560 | 0 | 0 | 560 |