Skip to main content

Major depression among pregnant women attending a tertiary teaching hospital in Northern Uganda assessed using DSM-V criteria

Abstract

Background

Major depression (MD) during pregnancy complicates maternal and neonatal outcomes. Despite its significant impact, there is a lack of evidence on the prevalence and associated factors of MD among pregnant women in Uganda. We assessed the magnitude and factors associated with MD among pregnant women attending antenatal care (ANC) at a large teaching hospital in Northern Uganda.

Methods

Between June and August 2023, we enrolled pregnant women aged 18 years or older attending ANC clinic at Gulu Regional Referral Hospital in Northern Uganda. Data were collected using a validated semi-structured questionnaire. MD was evaluated using DSM-V criteria and was defined as having (1) at least two weeks of either persistent low mood or excessive sadness, (2) plus additional symptoms from the MD diagnostic criterion A, for a total of at least five MD symptoms, and (3) the symptoms caused significant distress or problem and significantly altered behaviour or functionality. Modified Poisson regression analyses with robust standard errors was constructed to evaluate for factors independently associated with major depression. Adjusted prevalence ratio (aPR) whose 95% confidence interval (CI) did not include the null value (0) or p < 0.05 was considered statistically significant.

Results

We enrolled 329 participants, with a mean age of 26.1± 5.5 years. Overall, 29.8% (n = 98) had MD; 37 (11.2%) mild, 49 (14.9%) moderate, and 12 (3.6%) severe MD. Having a co-wife (aPR: 1.64, 95% CI:1.09–2.45, p = 0.016), an arranged marriage (aPR: 1.56, 95% CI: 1.02–2.42, p = 0.042), partner’s income in second quartile (aPR: 2.14, 95% CI: 1.29–3.54, p = 0.003), experiencing physical violence (aPR: 1.75, 95% CI: 1.09–3.81, p = 0.019), controlling behaviours from partner (aPR: 3.60, 95% CI: 1.79–7.26, p < 0.001), and planned pregnancy (aPR: 0.53%, 955 CI: 0.35–0.81, p = 0.003) were independently associated with MD.

Conclusion

Major Depression affects nearly one-third of pregnant women in Northern Uganda. Major Depression is more prevalent among women with co-wives, in arranged marriages, with unplanned pregnancies, whose partners had low income, who experienced physical violence or controlling behaviours from a partner. These findings highlight the urgent need for targeted interventions, including prevention, screening, and treatment services for Major Depression within Antenatal Care clinics. Implementing such measures is crucial to improving maternal, foetal, and neonatal health outcomes in the region.

Peer Review reports

Background

Maternal mental health remains major public health concerns accounting for over 10% among pregnant women and 13% among women who have just given birth [1]. However, in low in-come countries and developing countries, the burden of depression is up to 15.6% during pregnancy and 19.8% after childbirth [2]. Nearly every woman faces the possibility of developing mental disorders during pregnancy and within the first year after giving birth [1, 3, 4]. However, the risk of specific disorders tends to rise in cases of poverty, migration, severe stress, exposure to violence (including domestic, sexual, economical, emotional, physical and controlling behaviours), emergencies, conflicts, natural disasters, and lack of social support [3, 5,6,7]. Depression during pregnancy can range from mild to severe form [3, 8].

Global burden of antenatal depression to range from 15 to 65% worldwide with associated risk factors such as exposure to violence, lack of partner or social support, personal or family history of mental disorders [9]. A systematic review of studies conducted in Africa reports that, 26.3% of pregnant women experience antenatal depression, particularly those in economic difficulties, unfavourable marriage conduction, non-support from relatives and bad obstetric history [10]. Major depression is associated with substance abuse, decreased utilization of healthcare services, poor appetite and suicidal thoughts in some extreme cases, it may even lead to suicide among pregnant women however they are also at risk of bleeding during pregnancy, miscarriage, and hypertensive disorder [3, 11]. Babies born to mother who was depressed during the pregnancy are at risk of restricted growth, low birth weight, low Apgar scores and admission to neonatal intensive care units [4].

In Uganda, a study conducted at Mubende Regional Referral Hospital, reports 37.68% prevalence of antenatal depression among pregnant women [12]. Also, another study done in Lira district northern Uganda reports prevalence of 36.1% in early pregnancy [13]. Depression in pregnancy is the most common mental health issue among pregnant women, it often goes unnoticed and untreated, potentially resulting in negative outcomes for both mothers and babies [13,14,15]. In Gulu Northern Uganda, where the healthcare landscape is marked by post-conflict recovery and ongoing socio-economic challenges, understanding the prevalence and associated factors of Major Depression (MD) among pregnant women is crucial for targeted intervention strategies and improving the mental well-being of mothers during Antenatal Care (ANC) hence positive outcome to both the mother and the baby. We determined the prevalence and factors associated with MD in pregnancy among women in northern Uganda.

Methods

Study design

This facility-based cross-sectional study was conducted at the ANC clinic at Gulu Regional Referral Hospital (GRRH).

Study setting

GRRH is a tertiary hospital for patients from mid-northern Uganda, thus serving both rural and urban populations within the catchment area. GRRH also receives patients from neighbouring countries of South Sudan and the Democratic Republic of Congo. It is also a teaching hospital for the Gulu University, Trainer Centre for Fellowship with East Central and Southern African College of Obstetrics and Gynaecology (ECSACOG) and many other Diploma and Certificate Training Institutions in the region. It is a hospital with both out and in-patient services for an estimated 120,000 patients per year. The hospital has specialised units managed by consultants from GRRH and the Faculty of Medicine, at Gulu University. The Obstetrics and Gynaecology department provides all services ranging from ANC to Postnatal Care (PNC) during pregnancy and after delivery. Due to the quality and free ANC services, a large proportion of pregnant women within the catchment area attend their ANC services at GRRH.

Study population

This study was conducted among pregnant women attending ANC at GRRH. All pregnant women attending ANC at GRRH were eligible for inclusion, irrespective of gestational age. However, we intended to exclude pregnant women who were deemed unable to provide informed consent due to severe illness or mental disorder. However, no pregnant women were found to meet the exclusion criteria.

Sample size

Using GPower, the minimum sample size was estimated to be 301. Assuming.

a conservative non-response rate of 10% (301/0.9), the adjusted sample size was 335 participants.

Sampling techniques

Based on the average daily attendance at the ANC clinic at GRRH which was approximately 80 women per day, we used a systematic random sampling method aided by the daily ANC attendance register.

Data collection tool and process

Data were collected from 329 pregnant women attending their ANC at GRRH between June and August 2023 by trained research assistance under supervision of the principal investigator. We selected every 5th person on the list on any given day. This enables each of the four investigators who participated in data collection to handle at least four participants per day. While on the ground the daily ANC attendance ranged between 60 and 100 pregnant women and thus, we collected data from between 12 and 20 participants on any given day. Data were collected using a semi-structured questionnaire which was developed for this study by the authors. Originally, the tool was developed in English and later translated into Acholi language (Luo) and then pre-tested, for consistency in question interpretation and language appropriateness, among 20 pregnant women attending ANC at Laroo Health Centre III. Ac copy of the English version of questionnaire has been uploaded as supplementary file. Data were collected using interviewer-administered questionnaires in either Acholi or English language depending on the participant’s literacy level and preferences.

Study variables

Independent variables included socio-demographic characteristics like age, education, being in a union, employment status, partner level of education, partner employment status, age at first sex, age at first marriage, age of the pregnancy in weeks and, living with HIV and partner alcohol use. The outcome variable for this study was MD. Participants with MD were those who met the DSM-5 diagnostic criteria for MD, (1) at least 2 weeks of either persistent low mood or excessive sadness, (2) plus additional symptoms from the MD diagnostic criterion A, for a total of at least five MD symptoms, and (3) the symptoms caused significant distress or problem and significantly altered their behaviour or functionality.

Data management and statistical analysis

Data were entered and cleaned in Microsoft Excel 2023. The cleaned data was coded and then exported to STATA 17.0 for analysis. Descriptive statistics were summarised using frequency with corresponding proportions for categorical variables or mean with corresponding standard deviations (SD) for numerical variables with normal distribution and median plus inter-quartile range for numerical variables with skewed distributions. To examine the associations between independent factors and MD, we conducted univariable and multivariable modified Poisson regression analyses with robust standard errors. We reported univariable analyses using unadjusted prevalence ratios (uPR) with corresponding confidence intervals (CI) and p-value. All independent variables with p < 0.20 at univariable analysis were considered for inclusion into the multivariable modified Poisson regression model. Since they have a study power of greater than 80%. The model was built using backward elimination method with best fit model selected using AIC. The results from the multivariable model were reported using the adjusted Prevalence ratios (aPR) with corresponding 95% CIs and p-values. Any p < 0.05 or effect size whose CI did not include the null value (0) was considered statistically significant.

Results

Baseline characteristics of the participants

We included 329 participants in the final analysis. Overall mean age was 26.06 (SD: 5.52) years. Majority were from within Gulu (89.8%, n = 281), in union (90.0%, n = 296), with negative HIV status (91.55, n = 301), partners employed (80.8%, n = 265), were in love marriage (81.5%, n = 247), and had a co-wife (76.0%, n = 247). More than half were not employed (54.1%, n = 178), ever used contraceptive (57.8%, n = 188), had wanted pregnancy (65.3%, n = 215), and husband doesn’t drink alcohol (57.2%, n = 187). 66(20.2%) had attained tertiary level of education, 8%(n = 26) A level, 32.8%(n = 107) O level and 28.2%(n = 92) upper primary. More than one third of the participants and their partners had third or highest income quartile, 44.3%(n = 70) and 46.7%(n = 115) respectively. The average age at first sex and first marriage were 17.81(SD:2.46) and 20.36(SD:3.27) respectively. Mean number of children was 1.59(SD:1.36) and mean week of amenorrhoea was 23.11(SD: 8.96) weeks. (Table 1), describe the characteristics of the participants.

Table 1 Baseline characteristic of the participants

Prevalence of major depression among the participants

Overall, 98/329 (29.8%) had major depression. Half of the participants had moderate depression (50%, n = 49), 12.2%(n = 12) had severe depression, and 37 (37.8%) had mild depression. (Table 2)

Table 2 Prevalence of major depression in pregnancy among participants

Factors significantly associated with major depression in pregnancy among the participants

At simple Poisson regression, factors positively associated with major depression were having a co-wife (cPR: 1.95, 95% CI: 1.42–2.69, p < 0.001),, pregnancy wanted by wife alone(cPR: 2.36, 95% CI: 1.69–3.29, p < 0.001), having poor or fair relationship with partner’s family(cPR: 1.95, 95% CI: 1.30–2.92, p = 0.001), husband drink alcohol (cPR: 1.48, 95% CI: 1.06–2.07,p = 0.021), partner’s income quartile being second (cPR: 1.85, 95% CI: 1.13–3.04, p = 0.014), exposed to physical violence(cPR: 2.6, 95% CI: 1.91–3.49,p < 0.0001), sexual violence(cPR: 1.8, 95% CI: 1.30–2.49, p < 0.0001), emotional violence(cPR: 2.9, 95% CI: 1.30–2.49, p < 0.0001), economical violence(cPR: 2.7, 95% CI: 2.09–4.12), controlling behaviours (cPR: 3.3, 95% CI: 2.00-5.32, p < 0.0001) and multiple GBV(cPR: 2.8, 95% CI: 1.94–4.16, p < 0.0001). Factors negatively associated with major depression were participant’s income quartile of third or highest quartile (cPR: 0.51, 95% CI: 0.28–0.92, p = 0.027), wanted pregnancy(cPR:0.62, 95% CI: 0.45–0.87, p = 0.005), having attained tertiary level of education (cPR: 0.34, 95% CI: 0.16–1.004, p = 0.004), and being in union (cPR: 0.54, 95% CI:0.36–0.78, p = 0.001). (Table 3)

Factors independently associated with major depression in pregnancy among the participants

Factors independently associated positively with major depression among the participants were having co-wife(aPR: 1.64, 95% CI:1.09–2.45, p = 0.016), being in arranged marriage(aPR: 1.56, 95% CI: 1.02–2.42, p = 0.042), partner’s income quartile of second quartile (aPR: 2.14, 95% CI: 1.29–3.54, p = 0.003), experiencing physical violence (aPR: 1.75, 95% CI: 1.09–3.81, p = 0.019) and controlling behaviours from partner (aPR: 3.60, 95% CI: 1.79–7.26, p < 0.001). However, having wanted pregnancy was protective of major depression among the participants (aPR: 0.53%, 955 CI: 0.35–0.81, p = 0.003), Table 3.

Table 3 Factors associated with major depression in pregnancy among the participants

Discussion

Our study report that 29.8% of pregnant women had MD. Factors such as having a co-wife increased the prevalence of MD by 64% compared to not having a co-wife, being in an arranged marriage increased the prevalence of MD by 56% compared to love marriage, and being in the second quartile of partner’s income increased the prevalence of MD by 114% compared to the lowest quantile. Additionally, experiencing physical violence increased the likelihood by 75% while experiencing controlling behaviours from a partner increased it by 260%. Conversely, having a wanted pregnancy was found to be protective against major depression, reducing the prevalence by 46% among women with wanted compared to women with unwanted pregnancy.

This study found that the prevalence of MD is 29.8%. This finding is consistence research conducted in Africa [9]. However, some studies have reported higher prevalence of MD among pregnant women. For example a study done in central Uganda (12,). Some study also reports relatively lower prevalence of depression in pregnancy [6, 16,17,18,19,20,21]. Similarly, a study conducted in post-COVID-19 China and delta region in Nigeria also reported a comparable prevalence [22, 23]. These differences in prevalence suggest that regional and other factors including cultural attitudes, diagnostic practices, and available support systems, significantly influence reported prevalence. This variability highlights the need for localized studies and tailored mental health interventions to effectively address antenatal depression.

Having a co-wife increased the prevalence of MD by 64% compared to not having a co-wife. This aligns with previous research indicating that marital conflict and competition among wives can contribute to increased psychological stress and depression among pregnant women.

Similarly, being in an arranged marriage increased the prevalence of MD by 56% compared to love marriage. Arranged marriages may pose challenges related to marital adjustment, autonomy, and emotional support, which are crucial factors in maternal mental health during pregnancy.

Financial stability, as reflected by the partner’s income quartile, also emerged as a significant factor. Women whose partners fell into the second quartile of income were 2.14 times more likely to experience major depression. Financial stressors can exacerbate psychological distress during pregnancy, impacting maternal mental health negatively.

The study also highlighted the impact of physical violence on maternal mental health. Women who reported experiencing physical violence from their partners were 1.75 times more likely to have major depression. This finding was consistence with other studies done across the world [15, 21, 24, 25]. There is serious consequences of physical violence on maternal well-being, emphasizing the need for comprehensive support and interventions for women experiencing domestic violence.

Furthermore, controlling behaviours from partners were strongly associated with major depression, with aPR of 3.60. Controlling behaviours can undermine women’s autonomy and sense of self-worth, contributing to increased stress and depression during pregnancy.

Conversely, the study identified a protective factor against major depression: having a wanted pregnancy. Women who reported their pregnancies as wanted experienced a 46% reduction in the likelihood of major depression. This was also reported in other studies done central Uganda, Ethiopia and China [12, 21, 26]. This finding emphasizes the importance of reproductive autonomy and emotional preparedness in mitigating the risk of maternal depression during pregnancy.

Strengths and limitations of the study

Its cross-sectional design, which precludes establishing causality between the identified factors and MD. Longitudinal studies would provide deeper insights into the temporal relationships and potential pathways linking these factors to maternal mental health outcomes. Additionally, the study’s reliance on self-report measures for sensitive topics such as IPV and mental health may introduce reporting bias, affecting the accuracy of the findings.

Conclusions

Major Depression affects nearly one-third of pregnant women in Northern Uganda. Major Depression is more prevalent among women with co-wives, in arranged marriages, with unplanned pregnancies, whose partners had low income, who experienced physical violence or controlling behaviours from a partner. These findings highlight the urgent need for targeted interventions, including prevention, screening, and treatment services for Major Depression within Antenatal Care clinics. Implementing such measures is crucial to improving maternal, foetal, and neonatal health outcomes in the region.

Data availability

All relevant data are within the manuscript and its supporting information files. Questionnaire has been attached as supplementary file Data are available upon reasonable request from the first author.

Abbreviations

ANC:

Ante-natal care

ECSACOG:

East central and southern african college of obstetrics and gynaecology

GBV:

Gender based violence

GUREC:

Gulu research ethical committee

GRRH:

Gulu regional referral hospital

MD:

Major depression

PNC:

Post-natal care

PR:

Prevalence ratio

SSA:

Sub-saharan Africa

SD:

Standard deviation

WHO:

World health organisation

References

  1. World Health Organisation (WHO). Mental health. 2020 [cited 2024 Jul 8]. Mental Health. Available from: https://www.who.int/news-room/fact-sheets/detail/depression#:~:text=Depression is about 50%25 more,due to suicide every year.

  2. Djatche Miafo J, Woks NIE, Nzebou D, Tchaptchet I, Delene ST, Kegha Tchidje O et al. Epidemiological profile of perinatal mental disorders at a tertiary hospital in Yaoundé- Cameroon. Front Glob women’s Heal. 2023;4:999840. Available from: http://www.ncbi.nlm.nih.gov/pubmed/36817033

  3. World Health Organisation (WHO). Mental disorder. 2023 [cited 2024 Jul 8]. Depressive disorder. Available from: https://www.who.int/news-room/fact-sheets/detail/depression#:~:text=Depression is about 50%25 more,due to suicide every year.

  4. Sethna V, Siew J, Gudbrandsen M, Pote I, Wang S, Daly E, et al. Maternal depression during pregnancy alters infant subcortical and midbrain volumes. J Affect Disord. 2021;291(May):163–70.

    Article  PubMed  Google Scholar 

  5. Zeleke TA, Getinet W, Tessema ZT, Gebeyehu K. Prevalence and associated factors of postpartum depression in Ethiopia. A systematic review and meta-analysis. PLoS One. 2021;16(2 February):1–16. Available from: https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0247005

  6. Øygarden AMU, Småstuen MC, Abudayya A, Glavin K, Sæther KM, Solberg BL, et al. Prevalence and predictive factors of depressive symptoms among primiparae in antenatal care: A cross-sectional study in the new families programme. J Clin Nurs. 2023;32(15–16):4894–903.

    Article  PubMed  Google Scholar 

  7. Kaiyo-Utete M, Dambi JM, Chingono A, Mazhandu FSM, Madziro-Ruwizhu TB, Henderson C, et al. Antenatal depression: an examination of prevalence and its associated factors among pregnant women attending Harare polyclinics. BMC Pregnancy Childbirth. 2020;20(1):1–8.

    Article  Google Scholar 

  8. Jahan N, Went TR, Sultan W, Sapkota A, Khurshid H, Qureshi IA et al. Untreated depression during pregnancy and its effect on pregnancy outcomes: A systematic review. Cureus. 2021;13(8).

  9. Dadi AF, Miller ER, Bisetegn TA, Mwanri L. Global burden of antenatal depression and its association with adverse birth outcomes: an umbrella review. BMC Public Health. 2020;20(1).

  10. Dadi AF, Wolde HF, Baraki AG, Akalu TY. Epidemiology of antenatal depression in Africa: A systematic review and meta-analysis. BMC Pregnancy Childbirth. 2020;20(1):1–13.

    Article  Google Scholar 

  11. Tibebu NS, Kassie BA, Anteneh TA, Rade BK. Depression, anxiety and stress among HIV-positive pregnant women in Ethiopia during the COVID-19 pandemic. Trans R Soc Trop Med Hyg. 2023;117(5):317–25.

    Article  PubMed  Google Scholar 

  12. Kasujja M, Omara S, Senkungu N, Ndibuuza S, Kirabira J, Ibe U et al. Factors associated with antenatal depression among women attending antenatal care at Mubende Regional Referral Hospital: a cross-sectional study. BMC Womens Health. 2024;24(1):1–9. Available from: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12905-024-03031-0

  13. Acup W, Opollo MS, Akullo BN, Musinguzi M, Kigongo E, Opio B, et al. Factors associated with first antenatal care (ANC) attendance within 12 weeks of pregnancy among women in Lira City, Northern Uganda: a facility-based cross-sectional study. BMJ Open. 2023;13(7):1–8.

    Article  Google Scholar 

  14. Nkemagu A, Abbey M, Chijioke S, Nwakamma C. Family support as a determinant of major depression among pregnant women in a Low-resource setting. 2023;6(1):121–32.

  15. Ayele S, Alemayehu M, Fikadu E, Tarekegn GE. Prevalence and Associated Factors of Depression among Pregnant Mothers Who Had Intimate Partner Violence during Pregnancy Attending Antenatal Care at Gondar University Hospital Northwest Ethiopia in 2020. Biomed Res Int. 2021;2021.

  16. Tesfaye Y, Agenagnew L. Antenatal Depression and Associated Factors among Pregnant Women Attending Antenatal Care Service in Kochi Health Center, Jimma Town, Ethiopia. J Pregnancy. 2021;2021.

  17. Mwita M, Kasongi D, Bernard E, Gunda D, Mmbaga B. The magnitude and determinants of antepartum depression among women attending antenatal clinic at a tertiary hospital, in Mwanza Tanzania: A cross-sectional study. Pan Afr Med J. 2021;38.

  18. Ayele TA, Azale T, Alemu K, Abdissa Z, Mulat H, Fekadu A. Prevalence and associated factors of antenatal depression among women attending antenatal care service at Gondar university hospital, Northwest Ethiopia. PLoS ONE. 2016;11(5):1–12.

    Article  Google Scholar 

  19. Alwis I, Baminiwatta A, Chandradasa M. Prevalence and associated factors of depression in Sri Lanka: a systematic review and meta-analysis. Soc Psychiatry Psychiatr Epidemiol. 2024;59(2):353–73. Available from: https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s00127-023-02495-z

  20. Cena L, Mirabella F, Palumbo G, Gigantesco A, Trainini A, Stefana A. Prevalence of maternal antenatal and postnatal depression and their association with sociodemographic and socioeconomic factors: A multicentre study in Italy. J Affect Disord. 2021;279(September 2020):217–21. Available from: https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jad.2020.09.136

  21. Habtamu Belete A, Alemayehu Assega M, Alemu Abajobir A, Abebe Belay Y, Kassahun Tariku M. Prevalence of antenatal depression and associated factors among pregnant women in Aneded woreda, North West Ethiopia: A community based cross-sectional study. BMC Res Notes. 2019;12(1):1–6. Available from: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13104-019-4717-y

  22. Yang H, Pan Y, Chen W, Yang X, Liu B, Yuan N, et al. Prevalence of and relevant factors for depression and anxiety symptoms among pregnant women on the Eastern seaboard of China in the post-COVID-19 era: a cross-sectional study. BMC Psychiatry. 2023;23(1):1–10.

    Article  Google Scholar 

  23. Nkemagu A, Abbey M, Dan-jumbo A, Dienye PO, Chijioke S, Okeafor CU et al. Major depression in the antenatal period in the core Niger Delta area of Nigeria: A neglected area of practice. 2023;6(1):131–40.

  24. Yu H, Jiang X, Bao W, Xu G, Yang R, Shen M. Association of intimate partner violence during pregnancy, prenatal depression, and adverse birth outcomes in Wuhan, China. BMC Pregnancy Childbirth. 2018;18(1):1–7.

    Article  CAS  Google Scholar 

  25. Insan N, Forrest S, Jaigirdar A, Islam R, Rankin J. Social determinants and prevalence of antenatal depression among women in rural Bangladesh: A Cross-Sectional study. Int J Environ Res Public Health. 2023;20(3).

  26. Huang X, Wang Y, Wang Y, Guo X, Zhang L, Wang W et al. Prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in Chengdu, China. BMC Pregnancy Childbirth. 2023;23(1):1–10. Available from: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12884-023-05672-9

Download references

Acknowledgements

We extend our deepest gratitude to our study participants, research assistants whose invaluable contributions and dedication made this research possible. Their willingness to share their time, experiences, and insights was crucial to the success of this work.

Funding

This study was supported through a seed grant from the Centre for International Reproductive Health Training through Gulu University Sexual and Reproductive Health Resource Centre, Gulu University, Gulu, Uganda.

Author information

Authors and Affiliations

Authors

Contributions

JO, HO, NP. B, MJA, SO conceptualised the study, JO and SO conducted data analysis and visualization. JO, SO, drafted the manuscript. FB and PFP funding acquisition. ALL authors contributed to the review and approval of the final manuscript.

Corresponding author

Correspondence to Jerom Okot.

Ethics declarations

Ethics approval and consent to participate

The study received ethical approval from the Gulu University Research Ethics Committee (approval number: GUREC-2023-527). Written Informed consent was obtained from all participants before the start of the study. Participants were informed of their right to withdraw from the study at any time and that their participation was voluntary. All data collected was kept confidential and anonymous. The ethical principles outlined in the Declaration of Helsinki were all adhered to.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Okot, J., Ochola, H., Blasich, N.P. et al. Major depression among pregnant women attending a tertiary teaching hospital in Northern Uganda assessed using DSM-V criteria. BMC Pregnancy Childbirth 25, 504 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12884-025-07618-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12884-025-07618-9

Keywords