Evidence map›Paper›PMID 39583080›Full record

ArticleFrontiers in public health2024

A comparative study of antenatal depression among urban and rural pregnant women in Gimbi District, Oromia, Ethiopia.

Solomon Chala, Markos Desalegn, Rut Oljira, Meseret Belete Fite, Sagni Hambisa Mecha, Gemechis Megnaka Hunde

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Solomon ChalaWest Wollega Health Office, Gimbi, Ethiopia.
Markos DesalegnDepartment of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Rut OljiraDepartment of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Meseret Belete FiteDepartment of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Sagni Hambisa MechaDepartment of Pharmacy, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.
Gemechis Megnaka HundeDepartment of Pharmacy, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antenatal depression (AND) is a form of clinical depression that can be caused by stress and worries that can bring pregnancy to more severe levels. It has negative impacts on women, the family, and the community at large. The comparative study of antenatal depression among rural and urban pregnant women was less studied in Ethiopia and in this study area in particular. Objective: The objective of the study was to compare the prevalence of antenatal depression and its associated factors among pregnant women in Gimbi rural and urban residents in Ethiopia in 2023. Methods: A community-based comparative cross-sectional study design was used from 1 February to 30 March 2023. A systematic random sampling method was used to select study participants. Data were collected using pretested interviewer-administered structured questionnaires. Binary logistic regression analysis was used to identify factors associated with antenatal depression. Variables with a Results: The prevalence of antenatal depression was 56 (21.5%), 95% CI: [16.9-25.5] among rural participants and 50 (19.2%) [95%] CI: [14.6-23.8] among urban participants. Having complications during pregnancy (AOR: 4.92, 95% CI: 1.35, 17.88), ever had depression (AOR: 3.20, 95% CI: 1.30, 7.85), consuming alcohol (AOR: 3.78, 95% CI: 1.24, 11.49), and educational status (can read and write) (AOR: 2.14, 95% CI:1.05, 4.67) were factors associated with antenatal depression among urban mothers, while no antenatal care follow-up (AOR: 6.6, 95% CI: 2.63, 16.85), unplanned pregnancy (AOR: 4.51, 95% CI:1.10, 1.86), and having complications during pregnancy (AOR: 2.77, 95% CI: 1.30, 5.92) were factors associated with antenatal depression among rural mothers. Conclusion: The prevalence of antenatal depression among rural mothers was higher than the prevalence of antenatal depression among urban mothers in the Gimbi district. Having complications during pregnancy, ever had depression, consuming alcohol, and educational status were associated factors with antenatal depression among urban mothers; having complications during pregnancy, unplanned pregnancy, and no ANC follow-up were factors associated with antenatal depression among rural mothers. Therefore, quality family planning and ANC services should be provided for the women to reduce unplanned pregnancies and experience complication-free pregnancy periods.

Indexed as

DepressionPregnancy ComplicationsPregnant PeopleRural PopulationUrban PopulationAdolescentAdultCross-Sectional StudiesEthiopiaFemaleHumansLogistic ModelsPregnancyPrenatal CarePrevalenceRisk Factorsantenataldepressionperinatalpregnantwomen

Identifiers

PMID39583080
PMCPMC11581861

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