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ORIGINAL RESEARCH article

Front. Psychiatry, 04 August 2025

Sec. Perinatal Psychiatry

Volume 16 - 2025 | https://doi.org/10.3389/fpsyt.2025.1544254

This article is part of the Research TopicPerinatal mental health: Depression, Anxiety, Stress, and FearView all 15 articles

Prevalence of common mental disorders and associated factors among pregnant women attending antenatal care at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2023

  • 1Department of Psychiatry, Mizan-Tepi University, Mizan-Aman, Ethiopia
  • 2Department of Psychiatry, College Of Medicine and Health Science, University of Gondar, Gondar, Ethiopia

Background: Common mental disorders (CMDs) such as depression and anxiety are prevalent during pregnancy. CMDs are public health concerns because of the implications for the health of both the mother and the fetus. This study aimed to determine the prevalence of CMDs and associated factors among pregnant women attending antenatal care at the University of Gondar Comprehensive Specialized Hospital (UoG CSH), Northwest Ethiopia.

Methods: An institution-based cross-sectional study was conducted from 26 September to 28 October 2023 among pregnant women attending antenatal care at the UoG CSH. Study participants were selected using a systematic random sampling technique. Data were collected using pre-designed tools like the Self-Reporting Questionnaire (SRQ-20) and the Oslo-3 Social Support Scale through face-to-face interviews. The collected data were entered into Epi data version 4.6.02 and analyzed using STATA version 14. Bivariable and multivariable logistic regression were used to identify factors associated with CMDs.

Results: Of the 407 pregnant women, 170 (41.8%) fulfilled the criteria for CMDs. In the multivariable analysis, financial instability (AOR = 1.66, 95% CI: 1.02, 2.69), poor social support (AOR = 2.60, 95% CI: 1.41, 4.81), emotional or physical abuse (AOR = 3.86, 95% CI: 1.79, 8.30), history of mental illness (AOR = 4.00, 95% CI: 1.24, 12.86), and unwanted pregnancy (AOR = 3.02, 95% CI: 1.02, 8.94) were significantly associated with CMDs.

Conclusion and recommendation: This study indicated that the prevalence of CMDs was high among pregnant women attending antenatal care at the UoG CSH. Those who had financial instability, poor social support, emotional or physical abuse, history of mental illness, and unwanted pregnancy were prone to CMDs. Therefore, early screening and monitoring of CMDs among pregnant women are important to reduce possible negative impacts on the health of women.

Introduction

Common mental disorders (CMDs) are non-psychotic mental disorders (1) that manifest as depression, anxiety, and somatic disorders that compromise day-to-day functioning (24). CMDs have multiple implications that change thoughts, feelings, behavior, and interpersonal relationships (5), characterized by symptoms such as insomnia, fatigue, irritability, difficulty in concentrating, and somatic complaints (68).

CMDs contribute to a high proportion of disability in the global burden of disease (9, 10). It accounts for 14% of the total disease burden globally and is one of many public health challenges today (1113). CMDs among pregnant women are a global concern (14, 15) because of the load and restrictions on participation in daily activities, as well as the risk to the growing fetus's neurocognitive development and unfavorable pregnancy outcomes (1619).

Although economic conditions make women more vulnerable in low- and middle-income countries (LMICs), 2012 research comparing maternal CMDs to neonatal and obstetric outcomes found antenatal CMDs ranged from 12% to 43% throughout pregnancy in both high-income and low-income countries (20). In antenatal clinics in LMICs, one in six pregnant women suffers from CMDs, particularly depression and anxiety (19). In sub-Saharan Africa, the prevalence of CMDs ranges from 8.3% to 41% during pregnancy (2123).

Ethiopia is one of the low-income countries with high rates of CMDs in pregnant women ranging from 12% to 46.6%, according to the evidence reported from studies conducted in different areas of the country (16, 2427).

Numerous independent research have shown that antenatal CMDs are influenced by intimate partner abuse, low socioeconomic level, unplanned pregnancy, lack of social support (11, 16, 27), and complications in past or index pregnancy (8). Additionally, poor health condition prior to conception, such as headache, diabetes mellitus, hypertension (26), illiteracy, and being single, widowed, divorced, or separated are associated with antenatal CMDs (Figure 1) (4).

Figure 1
Diagram depicting factors associated with antenatal common mental disorders. Central oval labeled “Antenatal Common mental disorders” with arrows pointing to it from four categories: Socio-demographic factors (age, marital status, religion, educational status, occupational status, household members, decision maker), Clinical factors (history of mental illness, family history, chronic medical illness), Maternity and Obstetric factors (pregnancy intention, gender preference, gravidity, live children, trimester stages, neonatal deaths, complications), and Behaviors of substance use (alcohol, tobacco, khat, others). Psycho-Social factors include social support, threat experience, and intimate partner violence.

Figure 1. Conceptual framework representing CMDs and their associated factors among pregnant women, 2023, adopted from reviewing the literature.

Women who have CMDs throughout pregnancy are less likely to seek prenatal care, and they may also have lower weight gain during pregnancy (28), which increases the chance of complicated delivery and poor child health outcomes such as stillbirth, low birth weight, prematurity, and neonatal mortality and morbidity (3, 2932).

Untreated CMDs during the antenatal period may continue in the postnatal period, thus resulting in decreased emotional involvement and hostility toward the newborn (24, 3336).

CMDs are serious health problems, but are a neglected component of care for women during pregnancy (33). If left untreated, both short- and long-term physical, social, and occupational disabilities are inevitable (37). The long-term effects of CMDs are due to the relapsing nature of the problem, poor adherence, and treatment-seeking behavior (38). CMDs have an effect on healthcare expenses and economic productivity, and they are linked to a poor prognosis of comorbid diseases (12).

Despite the high prevalence and negative outcomes that CMDs have among pregnant women, there are limited studies in LMICs, including Ethiopia. Ethiopia is a country with a wide range of sociocultural characteristics, and the factors that contribute to CMD might vary from culture to culture even within the research that is already available. Therefore, the findings of this study provide information related to the prevalence of antenatal CMDs and their associated factors in Northwest Ethiopia. Thus, the evidence is important for researchers as an initial input for their further investigation.

Materials and methods

Study design, period, and setting

An institution-based cross-sectional study was conducted among pregnant women attending ANC service at the University of Gondar Comprehensive Specialized Hospital (UoG CSH) from 26 September to 28 October 2023, Gondar is the capital city of the Central Gondar zone, which is located Northwest of Addis Ababa. It is located at a distance of 738 km from Addis Ababa, the capital city of Ethiopia, and at a distance of 186 km away from Bahir Dar, the capital city of Amhara regional state. The total projected Gondar population was 323,900. Gondar town has one comprehensive, specialized hospital, one general hospital, eight public health centers, and 14 health posts.

Source population

All pregnant women who visited the UoG CSH made up the source population.

Study population

All pregnant women who visited the UoG CSH and who were presented at the time of data collection comprised the study population. Pregnant women who could not communicate and who were acutely sick during data collection were excluded from the study.

Sample size and sampling procedure

The sample size was determined by using the single-population proportion formula based on the assumption of 46.6% prevalence of CMDs from a study conducted in Ethiopia (27) and 1.96 Z value of standard normal distribution. By using 95% confidence interval (CI) and 5% margin of error and by adding 10% non-response, the final sample size was 419. To choose study participants, a methodical random sampling technique was used. By dividing the total number of pregnant women who had visited the antenatal clinics at the UoG CSH by the sample size, the sampling interval was calculated. A formula of k = N/n was used to get an interval of 3 (k = 1,504/419 ≈ 3), so the participants were selected every three intervals. The lottery method was used to choose the first person. If the selected individual is not present or refused to participate, the data collectors substituted the next participant and continued the process starting from the interviewed participant based on the interval; hence, selected participants were interviewed by the data collector at regular intervals from among consecutive women visitors attending antenatal care.

Data collection procedures and instruments

Data were collected from the study subjects through face-to-face interviews using structured questionnaires that consisted of items on socio-demographic, substance use, clinical, psychosocial, and maternity- and obstetrics-related characteristics. Participants were approached in their waiting rooms and interviewed individually to ensure privacy. CMDs were assessed by the Self-Reporting Questionnaire (SRQ-20), which was designed by WHO for developing countries. It was translated into Amharic language, tested and validated in Ethiopia. Each of the 20 questions was scored 0 (no) or 1 (yes), with the total score ranging from 0 to 20; a cutoff score (SRQ-20 ≥ 7) was used to determine probable cases of mental disorder or poor mental health (16). Stressful life events were assessed by a List of Threatening Experiences questionnaire (LTE-Q), which has good test–retest reliability (Kappa: 0.61–0.87) (39) and predictive validity in Debre-Tabor (40). Social support was assessed using the Oslo-3 Social Support Scale (OSS-3) (41). The presence of victimization or intimate partner violence during pregnancy was obtained by Abuse Assessment Screening (AAS), which was developed by the Nursing Research Consortium on Violence (27). To examine substance use history, respondents were asked: "Have you ever used any substance in the last three months or in your lifetime?" and the responses were Yes/No (11).

The pre-coded structured questionnaire included self-report based on clinical and psychiatric history and previous and current obstetric history after an extensive literature review (16).

Study variables

Dependent variable

The study's dependent variable was common mental disorder (CMD) = yes/no.

Independent variables

The study's independent variables were socio-demographic factors, which included age, marital status, religion, educational status, occupational status, number of household members, and household decision-maker; the other independent variables were psychosocial factors, which included stressful life events, social support, and intimate partner violence (physical violence and sexual violence). Factors like history of mental illness, history of chronic medical illness, and family history of mental illness were included under the category of clinical factors. The remaining independent variables were substance and related factors, which include alcohol drinking, cigarette smoking, and khat chewing, and maternity- and obstetrics-related factors, which include pregnancy intention, gender preference, gravidity, number of live children, stages of trimester, previous neonatal deaths including abortion, current and previous pregnancy complications, and history of gynecological operation.

Operational definitions of key concepts

Common mental disorder (CMD); A probable case of CMD is defined in the current study for those participants who scored based on a cutoff point greater than or equal to seven during SRQ-20 screening (9, 23).

History of mental illness: This refers to previous diagnosed psychopathology for participants having at least one or more known self-reported mental illnesses before the study period.

Chronic medical illness: This refers to a condition when subjects have at least one or more known self-reported chronic diseases before the study period (16).

Stressful life events: The presence of specific life events explained by experience of one or more adverse life events in the previous 6 months, assessed using the 12-item List of Threatening Experiences (LTE) (11, 39).

Social support: Assessed using OSS-3 and scored as "poor support" (3–8), "moderate support" (9–11), and "strong support" (12–14) (41).

Substance use: Ever used substance (alcohol, cigarette, and khat) in one's lifetime and current substance use (alcohol, cigarette, and khat) in the past 3 months (26).

Intimate partner violence: A "yes" response to any question of AAS for pregnancy is considered positive for partner violence (42).

Data quality control

Standardized questionnaires were used, which were translated into Amharic and translated back to English to check for consistency and understandability of the tool. Four BSc midwives were recruited for data collection. A training about the content of questionnaires for data collectors and supervisors was given. A pre-test was conducted 2 weeks before the actual data collection on 5% (n = 21) of the sample size at Ayira General Hospital. Supervision by the two PhD qualified supervisors and a PI was carried out. During data collection, filled questionnaires were checked for completeness and consistency.

Data analysis procedure

Data were coded, entered, and cleaned using Epi data version 4.6.02 and then they were exported to STATA version 14. Then, the data were analyzed to generate descriptive statistics: means, frequency, percentages, and standard deviations. In order to determine the association between dependent and independent variables, adjusted odds ratio was employed using logistic regression and the significance level was determined using a CI of 95%. Bivariable analysis was carried out to assess the association of each independent variable with the dependent variable.

Results

Socio-demographic data of respondents

From 419 approached participants, 407 consented to take part and completed the interview in the study, yielding a response rate of 97.1%. Among the study participants, 33.9% were between the ages of 25 and 29 years with a mean of 28.6 years (SD ±5.7). The majority of the study participants (95.8%) were married in their current relationship, and 90.4% were Orthodox Christian followers. Approximately 25.6% of the participants completed secondary level of education and 37.6% were housewives (Table 1).

Table 1
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Table 1. Socio-demographic information of pregnant women in UoG CSH, Gondar, Northwest Ethiopia, 2023 (n = 407).

Substance use-related factors

Findings suggest that almost 70.0% of women used alcoholic beverages like traditional alcoholic drinks [local "areke", "tella", and "tej" (honey wine)] or industrial beverages like wine and beer at least once in their lifetime. Among these, 21.1% were consuming alcoholic beverages during the study period. From the total number of study participants, 4.9% reported ever chewing khat in their lifetime, whereas 1% was consuming khat during the study period. Approximately 1.2% of the respondents had ever used tobacco in their lifetime, and the prevalence of tobacco use during the study period was not statistically significant.

Psychosocial factors

Among the respondents, 15.2% had (LTE) health risks, 10.3% had lost a loved one, 34.6% had financial instability, 17.2% had relationship problems, and 9.3% had legal problems. From study participants, 11.8% reported that they had been emotionally or physically abused. Approximately 8.6% of participants reported being forced to have sexual intercourse within the last year. Of the participants, approximately 31.7% had poor social support, whereas 45.7% and 22.6% had moderate and strong social support, respectively (Table 2).

Table 2
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Table 2. Psychosocial characteristics of pregnant women in UoG CSH, Gondar, Northwest Ethiopia, 2023 (n = 407).

Clinical factors

Participants were asked about various clinical conditions and 12.3% reported having a history of chronic medical illness, and 4.4% had a history of mental illness. Additionally, 6.9% had a family history of mental illness (Figure 2).

Figure 2
Bar chart showing percentages of people with or without mental or medical illness histories. “Have no” shows 95.60% with no mental illness history, 93.10% with no family mental illness history, and 87.70% with no chronic illness. “Have” indicates 4.40% with mental illness history, 6.90% with family mental illness history, and 12.30% with chronic illness.

Figure 2. Clinical factors of pregnant women (n = 407) in UoG CSH, Gondar, Northwest Ethiopia, 2023.

Maternity- and obstetrics-related factors

The majority of the study participants (42.0%) were in the third trimester of their pregnancy, and 58.9% had been pregnant two to four times before. In this sample, 4.9% had an unwanted pregnancy, 7.9% had a history of abortion, and 4.4% had a prior history of neonatal death. More than half (53.6%) of the participants preferred to have a male child, and 42.2% of the participants had one to two children. From the total respondents, 10.1% had a history of previous pregnancy-related complications, and 11.1% had a history of current pregnancy complications. Approximately 16.2% of the participants had a history of a gynecological operation (Table 3).

Table 3
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Table 3. Maternity and obstetric related factors of pregnant women in UoG CSH, Gondar, Northwest Ethiopia, 2023 (n = 407).

Prevalence of common mental disorders and associated factors

In this study, the overall prevalence of CMD among pregnant women was 41.8% (95% CI: 37.0, 46.6). Approximately 21.6% of the women had no CMD symptoms and 36.6% had low CMD symptoms. The most common symptoms reported were tiredness (34.2%), headaches (33.2%), poor appetite (31.7%), and sleep disturbance (30.5%).

Relationship problems, financial instability, poor social support, emotional or physical abuse, forced sexual activities in the last year, current alcohol use, history of mental illness, family history of mental illness, unwanted pregnancy, complications with current pregnancy, history of neonatal death, and gynecological operation were factors associated with CMDs at p < 0.25 in binary logistic regression.

Finally, the multivariable analysis model indicated that having financial instability, poor social support, history of emotional or physical abuse, history of mental illness, and unwanted pregnancy were found to be significantly associated with CMDs with 95% CI and at p < 0.05.

Pregnant women with financial instability had 1.66 times (AOR = 1.66, 95% CI: 1.02, 2.69, p = 0.04] higher odds of having CMDs than women with adequate and stable financial access.

Pregnant women with physical or emotional abuse had 3.86 times (AOR = 3.86, 95% CI: 1.80, 8.31, p = 0.001) higher odds of having CMDs than women who had not been abused.

Pregnant women with poor social support had 2.6 times (AOR = 2.60, 95% CI: 1.41, 4.81, p = 0.002) higher odds of having CMDs than women who had strong social support.

Pregnant women with a past history of mental illness had four times (AOR = 4.00, 95% CI: 1.25, 12.87, p = 0.02) higher odds of having antenatal CMDs as compared to those who had no history of past mental illness.

Women with unwanted pregnancies had nearly three times (AOR = 3.03, 95% CI: 1.02, 8.95, p = 0.04) higher odds of having CMDs as compared to women with planned/wanted pregnancies (Table 4).

Table 4
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Table 4. Bivariable and multivariable analysis of factors associated with common mental disorders among pregnant women in UoG CSH, 2023 (n = 407).

Discussion

This study showed that there was a high prevalence of antenatal CMDs among pregnant women who have antenatal care follow-up at UoG CSH. The prevalence of CMDs among pregnant women in this study was 41.8% (95% CI: 37.0, 46.6), which was in line with previous studies done in Debre Birhan (45.2%) (16), Hawassa (46.6%) (27), Cameroon (42%) (23), and northeastern Brazil (43.1%) (43).

However, the prevalence of CMDs in this study was higher than findings conducted in various regions of Ethiopia, such as in Butajira and Bale zone, 12% and 35.8%, respectively (24, 26). The reason for higher prevalence of CMDs in the current study might be due to the differences in study year. Our study was conducted in 2023 while the Butajira and Bale zone studies were conducted in 2010 and 2017, respectively. The other reason was the area where the study was conducted; our study was conducted at an institution, but the Butajira and Bale zone studies were conducted at a community level.

The results were also higher than previous findings in Brazil (20.2%, 12.9%, and 20%) (20, 44, 45), Vietnam (29.9% and 37.4%) (3, 46), and the United Kingdom (24.69%) (47). The reason for the higher prevalence of CMDs in the current study might also be due to sociocultural variations, socioeconomic factors, and the availability of health facilities and health professionals between those countries and Ethiopia including factors like financial instability and other mental health risk factors such as CMDs (whether they have been detected and treated early). Another reason for this difference might be due to the differences in measurement tools. For example, Vietnam used EDS, which did not include somatic symptoms that are normative in pregnancy (3).

The current prevalence of antenatal CMDs was also lower than the previous studies done in midwestern Brazil (57.1%). This variation may be due to the level of knowledge and understanding of the participants that leads to increased health facility visits. Differences within the study population were another factor. This study included all pregnant women, but midwestern Brazil included pregnant women who had consultations that were at higher risk for CMDs (8).

The findings of this study showed that financial instability had a statistically significant association with CMDs. Pregnant women with financial instability had 1.66 times (AOR = 1.66, 95% CI: 1.02, 2.69) higher odds of having CMDs than women with adequate and stable financial access. Financial instability emerged as a stressor that had both direct and indirect effects on antenatal CMDs (26). Women were preoccupied by unpaid home duties, with complete financial reliance on their partners; thus, a failure to provide such support could pose a significant threat to maternal psychological health (48, 49). This study agreed with studies conducted in Bale, Ethiopia, and Brazil (26, 44).

The current study found that intimate partner violence had a statistically significant association with CMDs. Pregnant women with physical or emotional abuse had 3.86 times (AOR = 3.86, 95% CI: 1.80, 8.31) higher odds of having CMDs than women who had not been abused. Physically abused women might face emotional instability and inability to trust their partner, which can lead to lifelong consequences, including low self-esteem, depression, and relationship difficulties (2, 33, 50, 51).

Social support was significantly associated with CMDs. Pregnant women with poor social support had 2.6 times (AOR = 2.60, 95% CI: 1.41, 4.81) higher odds of having CMDs than women who had strong social support. In fact, having poor social interaction is prone to mental disorders, because social support is the most important mechanism to release day-to-day stress and strengthen one's coping capabilities (8). Women with poor social support might have feelings of being neglected, and not wanted, which leads participants to become socially isolated and experience emotional disturbances (52, 53). Previous studies done in Brazil and Pakistan supported this finding (44, 54).

Having a previous history of mental illness was significantly associated with antenatal CMDs. Pregnant women with a past history of mental illness had four times (AOR = 4.00, 95% CI: 1.25, 12.87) higher odds of having antenatal CMDs as compared to those who had no history of past mental illness. This might be because pregnant women were more biologically vulnerable to CMDs, and in addition, this hormonal change during pregnancy might precipitate previous mental illness or their psycho-social context may make them vulnerable to recurrent CMDs (2, 36, 44).

Regarding the intention of pregnancy by women, having unwanted pregnancy was associated with antenatal CMDs. Women with unwanted pregnancies had nearly three times (AOR = 3.03, 95% CI: 1.02, 8.95) higher odds of having CMDs as compared to women with planned/wanted pregnancies. This was possible because pregnancy causes physical, psychological, and hormonal changes (24), and this is the most likely reason why pregnancy needs physical, psychological, and financial preparation (43, 55). A previous study done in Debre Birhan showed such an association between unwanted pregnancy and CMDs during pregnancy (16).

Limitation of the study

The major limitation of the current study is the fact that it is a cross-sectional study, and thus, the cause-and-effect relationship was difficult to establish. In addition, the data collection method used (face-to-face interview) might lead women to respond in socially acceptable ways during the process, especially in cases of substance-related questions, history of abortion, physical abuse by their spouse, and marital relationship. Social desirability bias may be more likely to occur when such delicate questions are asked.

Conclusion and recommendations

This study revealed that the prevalence of CMDs in Ethiopia was found to be high. Financial instability, poor social support, physical or emotional abuse, history of mental illness, and unwanted pregnancy were significantly associated with CMDs among pregnant women. Mechanisms that facilitate the link between antenatal care units and psychiatric care units should be designed. Further longitudinal and robust studies with a larger sample size should be conducted to determine the risk factors and causal pathways for the occurrence of antenatal CMDs.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving humans were approved by the Ethical Review Committee of the School of Medicine at the University of Gondar. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

KT: Writing – original draft, Writing – review & editing. BG: Writing – review & editing. BA: Writing – review & editing. AA: Writing – original draft.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by Miza-Teppi University. The funder has no role in the design, analysis, data interpretation, and publication of the findings.

Acknowledgments

We would like to thank the University of Gondar, College of Medicine and Health Sciences, and Department of Psychiatry. We would like to extend our deepest thanks to the antenatal care unit staff and participants for their willingness to participate in this study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1544254/full#supplementary-material

Abbreviations

AOR, adjusted odds ratio; CI, confidence interval; CMD, common mental disorder; COD, crude odds ratio; HURH, Hawassa University Referral Hospital; LMICs, low- and middle-income countries; LTE, life-threatening experience; SRQ, Self-Reporting Questionnaire; UOG CMHS, University of Gondar Collage of Medicine and Heath Science; UOG CSH, University of Gondar Comprehensive Specialized Hospital; WHO, World Health Organization.

References

1. Goldberg D. A bio-social model for common mental disorders. Acta Psychiatrica Scandinavica. (1994) 90:66–70. doi: 10.1111/j.1600-0447.1994.tb05916.x

PubMed Abstract | Crossref Full Text | Google Scholar

2. Jha S, Salve HR, Goswami K, Sagar R, and Kant S. Burden of common mental disorders among pregnant women: A systematic review. Asian J Psychiatry. (2018) 36:46–53. doi: 10.1016/j.ajp.2018.06.020

PubMed Abstract | Crossref Full Text | Google Scholar

3. Niemi M, Falkenberg T, Petzold M, Chuc NTK, and Patel V. Symptoms of antenatal common mental disorders, preterm birth and low birthweight: a prospective cohort study in a semi-rural district of V ietnam. Trop Med Int Health. (2013) 18:687–95. doi: 10.1111/tmi.12101

PubMed Abstract | Crossref Full Text | Google Scholar

4. Khatri GK, Tran TD, Baral S, and Fisher J. Effect of the 2015 Nepal Earthquakes on symptoms of common mental disorders among women who are pregnant. J Affect Disord. (2018) 228:238–47. doi: 10.1016/j.jad.2017.12.016

PubMed Abstract | Crossref Full Text | Google Scholar

5. Lucchese R, Simões ND, Monteiro LHB, Vera I, Fernandes IL, de Castro PA, et al. Factors associated with the probability of common mental disorders in pregnant women: a cross-sectional study. Escola Anna Nery. (2017) 21:e20160094. doi: 10.1590/2177-9465-ean-2016-0094

Crossref Full Text | Google Scholar

6. Haile YG, Alemu SM, and Habtewold TD. Common mental disorder and its association with academic performance among Debre Berhan University students, Ethiopia. Int J Ment Health systems. (2017) 11:1–11. doi: 10.1186/s13033-017-0142-6

PubMed Abstract | Crossref Full Text | Google Scholar

7. Sumiarsih M, Nurlinawati I, and Putranto RH eds. Prevalence and related factors of common mental disorder among individual nusantara sehat (NSI) staff in remote primary health care. In: 4th international symposium on health research (ISHR 2019). Dordrecht, Netherlands: Atlantis Press.

Google Scholar

8. da Silva BP, Matijasevich A, Malta MB, Neves PA, Mazzaia MC, Gabrielloni MC, et al. Common mental disorders in pregnancy and postnatal depressive symptoms in the MINA-Brazil study: occurrence and associated factors. Rev saude publica. (2022) 56:83. doi: 10.11606/s1518-8787.2022056004028

PubMed Abstract | Crossref Full Text | Google Scholar

9. Habtamu Y, Admasu K, Tullu M, and Kebede A. Magnitude of common mental disorders and factors associated among people living in Addis Ababa Ethiopia 2018: community based cross-sectional study. BMC Psychiatry. (2022) 22:160. doi: 10.1186/s12888-022-03783-9

PubMed Abstract | Crossref Full Text | Google Scholar

10. Yimam K, Kebede Y, and Azale T. Prevalence of common mental disorders and associated factors among adults in Kombolcha Town, Northeast Ethiopia. J Depression Anxiety. (2014) 1:007. doi: 10.4172/2167-1044.S1-007

Crossref Full Text | Google Scholar

11. Barsisa B, Derajew H, Haile K, Mesafint G, and Shumet S. Prevalence of common mental disorder and associated factors among mothers of under five year children at Arbaminch Town, South Ethiopia, 2019. PloS One. (2021) 16:e0257973. doi: 10.1371/journal.pone.0257973

PubMed Abstract | Crossref Full Text | Google Scholar

12. Engidaw NA, Abdu Z, and Chinani I. Prevalence and associated factors of common mental disorders among residents of Illu Ababore zone, southwest Ethiopia: a cross-sectional study. Int J Ment Health Systems. (2020) 14:1–8. doi: 10.1186/s13033-020-00394-3

PubMed Abstract | Crossref Full Text | Google Scholar

13. Manjrekar S and Patil S. Perception and attitude toward mental illness in antenatal mothers in rural population of Southern India: A cross-sectional study. J Neurosci Rural practice. (2018) 9:473. doi: 10.4103/jnrp.jnrp_535_17

PubMed Abstract | Crossref Full Text | Google Scholar

14. Rehm J and Shield KD. Global burden of disease and the impact of mental and addictive disorders. Curr Psychiatry Rep. (2019) 21:1–7. doi: 10.1007/s11920-019-0997-0

PubMed Abstract | Crossref Full Text | Google Scholar

15. Duko B, Ayano G, and Bedaso A. Depression among pregnant women and associated factors in Hawassa city, Ethiopia: an institution-based cross-sectional study. Reprod Health. (2019) 16:1–6. doi: 10.1186/s12978-019-0685-x

PubMed Abstract | Crossref Full Text | Google Scholar

16. Gizachew KD, Biks GA, and Wubetu AD. Prevalence and determinants of common mental disorder among pregnant women in Debre Berhan Town: highland in Central Ethiopia. Durham, North Carolina, USA: Research Square (2020).

Google Scholar

17. Fisher J, Tran T, Nguyen TT, Nguyen H, and Tran TD. Common mental disorders among women, social circumstances and toddler growth in rural V ietnam: a population-based prospective study. Child: care Health Dev. (2015) 41:843–52. doi: 10.1111/cch.12235

PubMed Abstract | Crossref Full Text | Google Scholar

18. Bindt C, Guo N, Bonle MT, Appiah-Poku J, Hinz R, Barthel D, et al. No association between antenatal common mental disorders in low-obstetric risk women and adverse birth outcomes in their offspring: results from the CDS study in Ghana and Cote D'Ivoire. PloS One. (2013) 8:e80711. doi: 10.1371/journal.pone.0080711

PubMed Abstract | Crossref Full Text | Google Scholar

19. Khatri GK, Tran TD, and Fisher J. Prevalence and determinants of symptoms of antenatal common mental disorders among women who had recently experienced an earthquake: a systematic review. BMC Psychiatry. (2019) 19:1–17. doi: 10.1186/s12888-018-1986-2

PubMed Abstract | Crossref Full Text | Google Scholar

20. Borba P, Zambaldi CF, Cantilino A, and Sougey EB. Common mental disorders in mothers vs. infant and obstetric outcomes: a review. Trends Psychiatry psychotherapy. (2012) 34:171–7. doi: 10.1590/S2237-60892012000400002

PubMed Abstract | Crossref Full Text | Google Scholar

21. Stewart RC, Bunn J, Vokhiwa M, Umar E, Kauye F, Fitzgerald M, et al. Common mental disorder and associated factors amongst women with young infants in rural Malawi. Soc Psychiatry Psychiatr Epidemiol. (2010) 45:551–9. doi: 10.1007/s00127-009-0094-5

PubMed Abstract | Crossref Full Text | Google Scholar

22. Uriyo JG, Abubakar A, Swai M, Msuya SE, and Stray-Pedersen B. Prevalence and correlates of common mental disorders among mothers of young children in Kilimanjaro region of Tanzania. PloS One. (2013) 8:e69088. doi: 10.1371/journal.pone.0069088

PubMed Abstract | Crossref Full Text | Google Scholar

23. Parcesepe AM, Cordoba E, Gallis JA, Headley J, Tchatchou B, Hembling J, et al. Common mental disorders and intimate partner violence against pregnant women living with HIV in Cameroon: a cross-sectional analysis. BMC pregnancy childbirth. (2021) 21:1–14. doi: 10.1186/s12884-021-03673-0

PubMed Abstract | Crossref Full Text | Google Scholar

24. Medhin G, Hanlon C, Dewey M, Alem A, Tesfaye F, Lakew Z, et al. The effect of maternal common mental disorders on infant undernutrition in Butajira, Ethiopia: the P-MaMiE study. BMC Psychiatry. (2010) 10:1–13. doi: 10.1186/1471-244X-10-32

PubMed Abstract | Crossref Full Text | Google Scholar

25. Gebreyesus SH, Medhin G, Prince M, Alem A, Wissow L, and Hanlon C. Impact of common mental disorders on food insecurity among women in butajira, Ethiopia: A cohort study. (2020) Res Sq. doi: 10.21203/rs.3.rs-26474/v1

Crossref Full Text | Google Scholar

26. Woldetsadik AM, Ayele AN, Roba AE, Haile GF, and Mubashir K. Prevalence of common mental disorder and associated factors among pregnant women in South-East Ethiopia, 2017: a community based cross-sectional study. Reprod Health. (2019) 16:1–8. doi: 10.1186/s12978-019-0834-2

PubMed Abstract | Crossref Full Text | Google Scholar

27. Abraham Y, Olitaye Z, Alemie T, Tsegaye B, and Andualem E. Prevalence of common mental disorders and factors associated with these disorders among pregnant women attend ante natal care services at Hawassa Referral Hospital, Ethiopia, 2016. J Health Med Inform. (2017) 8:2. doi: 10.4172/2157-7420.1000280

Crossref Full Text | Google Scholar

28. Mongan D, Lynch J, Hanna D, Shannon C, Hamilton S, Potter C, et al. Prevalence of self-reported mental disorders in pregnancy and associations with adverse neonatal outcomes: a population-based cross-sectional study. BMC pregnancy childbirth. (2019) 19:1–10. doi: 10.1186/s12884-019-2572-4

PubMed Abstract | Crossref Full Text | Google Scholar

29. Johnson AR, George M, Goud BR, and Sulekha T. Screening for mental health disorders among pregnant women availing antenatal care at a government maternity hospital in Bengaluru City. Indian J psychol Med. (2018) 40:343–8. doi: 10.4103/IJPSYM.IJPSYM_41_18

PubMed Abstract | Crossref Full Text | Google Scholar

30. Bante A, Mersha A, Zerdo Z, Wassihun B, and Yeheyis T. Comorbid anxiety and depression: Prevalence and associated factors among pregnant women in Arba Minch zuria district, Gamo zone, southern Ethiopia. PloS One. (2021) 16:e0248331. doi: 10.1371/journal.pone.0248331

PubMed Abstract | Crossref Full Text | Google Scholar

31. Lodebo M, Birhanu D, Abdu S, and Yohannes T. Magnitude of antenatal depression and associated factors among pregnant women in West Badewacho Woreda, Hadiyya Zone, South Ethiopia: community based cross sectional study. Depression Res Treat. (2020) 2020:2950536. doi: 10.1155/2020/2950536

PubMed Abstract | Crossref Full Text | Google Scholar

32. Habtamu Belete A, Alemayehu Assega M, Alemu Abajobir A, Abebe Belay Y, and 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) 12:1–6. doi: 10.1186/s13104-019-4717-y

PubMed Abstract | Crossref Full Text | Google Scholar

33. Ferri CP, Mitsuhiro SS, Barros MC, Chalem E, Guinsburg R, Patel V, et al. The impact of maternal experience of violence and common mental disorders on neonatal outcomes: a survey of adolescent mothers in Sao Paulo, Brazil. BMC Public Health. (2007) 7:1–9. doi: 10.1186/1471-2458-7-209

PubMed Abstract | Crossref Full Text | Google Scholar

34. Tamiru D, Misgana T, Tariku M, Tesfaye D, Alemu D, Weldesenbet AB, et al. Prevalence and associated factors of common mental disorders among pregnant mothers in rural eastern Ethiopia. Front Psychiatry. (2022) 13:843984. doi: 10.3389/fpsyt.2022.843984

PubMed Abstract | Crossref Full Text | Google Scholar

35. Sheeba B, Nath A, Metgud CS, Krishna M, Venkatesh S, Vindhya J, et al. Prenatal depression and its associated risk factors among pregnant women in Bangalore: A hospital based prevalence study. Front Public Health. (2019) 7:108. doi: 10.3389/fpubh.2019.00108

PubMed Abstract | Crossref Full Text | Google Scholar

36. Jha S, Salve HR, Goswami K, Sagar R, and Kant S. Prevalence of Common Mental Disorders among pregnant women—Evidence from population-based study in rural Haryana, India. J Family Med primary Care. (2021) 10:2319–24. doi: 10.4103/jfmpc.jfmpc_2485_20

PubMed Abstract | Crossref Full Text | Google Scholar

37. Organization WH. Investing in mental health. Mumbai, India: World Health Organization (2003).

Google Scholar

38. Consortium WWMHS. Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. Jama. (2004) 291:2581–90. doi: 10.1001/jama.291.21.2581

PubMed Abstract | Crossref Full Text | Google Scholar

39. Motrico E, Moreno-Küstner B, de Dios Luna J, Torres-González F, King M, Nazareth I, et al. Psychometric properties of the List of Threatening Experiences—LTE and its association with psychosocial factors and mental disorders according to different scoring methods. J Affect Disord. (2013) 150:931–40. doi: 10.1016/j.jad.2013.05.017

PubMed Abstract | Crossref Full Text | Google Scholar

40. Bisetegn TA, Mihretie G, and Muche T. Prevalence and predictors of depression among pregnant women in debretabor town, northwest Ethiopia. PloS One. (2016) 11:e0161108. doi: 10.1371/journal.pone.0161108

PubMed Abstract | Crossref Full Text | Google Scholar

41. Bøen H. Characteristics of senior centre users–and the impact of a group programme on social support and late-life depression. Norsk epidemiologi. (2012) 22:261–9. doi: 10.5324/nje.v22i2.1574

Crossref Full Text | Google Scholar

42. Ludermir AB, Valongueiro S, and de Araújo TVB. Common mental disorders and intimate partner violence in pregnancy. Rev saude publica. (2014) 48:29–35. doi: 10.1590/S0034-8910.2014048004538

PubMed Abstract | Crossref Full Text | Google Scholar

43. Ludermir A, de Araújo TB, Valongueiro S, and Lewis G. Common mental disorders in late pregnancy in women who wanted or attempted an abortion. psychol Med. (2010) 40:1467–73. doi: 10.1017/S003329170999184X

PubMed Abstract | Crossref Full Text | Google Scholar

44. Faisal-Cury A, Menezes P, Araya R, and Zugaib M. Common mental disorders during pregnancy: prevalence and associated factors among low-income women in São Paulo, Brazil: depression and anxiety during pregnancy. Arch women's Ment Health. (2009) 12:335–43. doi: 10.1007/s00737-009-0081-6

PubMed Abstract | Crossref Full Text | Google Scholar

45. Kassada DS, Waidman MAP, Miasso AI, and Marcon SS. Prevalence of mental disorders and associated factors in pregnant women. Acta Paulista Enfermagem. (2015) 28:495–502. doi: 10.1590/1982-0194201500084

Crossref Full Text | Google Scholar

46. Fisher J, Tran T, Kriitmaa K, Rosenthal D, and Tran T. Common perinatal mental disorders in northern Viet Nam: community prevalence and health care use. Bull World Health Organization. (2010) 88:737–45. doi: 10.2471/BLT.09.067066

PubMed Abstract | Crossref Full Text | Google Scholar

47. Van Bussel JC, Spitz B, and Demyttenaere K. Women’s mental health before, during, and after pregnancy: A population-based controlled cohort study. Birth. (2006) 33:297–302. doi: 10.1111/j.1523-536X.2006.00122.x

PubMed Abstract | Crossref Full Text | Google Scholar

48. Husain N, Mukherjee I, Notiar A, Alavi Z, Tomenson B, Hawa F, et al. Prevalence of common mental disorders and its association with life events and social support in mothers attending a well-child clinic: findings from Mombasa, Kenya. SAGE Open. (2016) 6:2158244016677324. doi: 10.1177/2158244016677324

Crossref Full Text | Google Scholar

49. Uthaipaisanwong A, Rungruxsirivorn T, Roomruangwong C, Taechakraichana N, and Chaithongwongwatthana S. Associated factors of prenatal depression among teenage pregnant women at King Chulalongkorn Memorial Hospital. J Med Assoc Thai. (2015) 98:437–43.

PubMed Abstract | Google Scholar

50. Abrahams Z, Boisits S, Schneider M, Prince M, and Lund C. The relationship between common mental disorders (CMDs), food insecurity and domestic violence in pregnant women during the COVID-19 lockdown in Cape Town, South Africa. Soc Psychiatry Psychiatr Epidemiol. (2022) 57:1–10. doi: 10.1007/s00127-021-02140-7

PubMed Abstract | Crossref Full Text | Google Scholar

51. Usuda K, Nishi D, Makino M, Tachimori H, Matsuoka Y, Sano Y, et al. Prevalence and related factors of common mental disorders during pregnancy in Japan: a cross-sectional study. BioPsychoSocial Med. (2016) 10:1–7. doi: 10.1186/s13030-016-0069-1

PubMed Abstract | Crossref Full Text | Google Scholar

52. Dibaba Y, Fantahun M, and Hindin MJ. The association of unwanted pregnancy and social support with depressive symptoms in pregnancy: evidence from rural Southwestern Ethiopia. BMC pregnancy childbirth. (2013) 13:1–8. doi: 10.1186/1471-2393-13-135

PubMed Abstract | Crossref Full Text | Google Scholar

53. Estrin GL, Ryan EG, Trevillion K, Demilew J, Bick D, Pickles A, et al. Young pregnant women and risk for mental disorders: findings from an early pregnancy cohort. BJPsych Open. (2019) 5:e21. doi: 10.1192/bjo.2019.6

PubMed Abstract | Crossref Full Text | Google Scholar

54. Ali NS, Azam IS, Ali BS, Tabbusum G, and Moin SS. Frequency and associated factors for anxiety and depression in pregnant women: A hospital-based cross-sectional study. Sci World J. (2012) 2012:653098. doi: 10.1100/2012/653098

PubMed Abstract | Crossref Full Text | Google Scholar

55. Golbasi Z, Kelleci M, Kisacik G, and Cetin A. Prevalence and correlates of depression in pregnancy among Turkish women. Maternal Child Health J. (2010) 14:485–91. doi: 10.1007/s10995-009-0459-0

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: common mental disorder, pregnant women, Northwest, Gondar, Ethiopia

Citation: Temesgen K, Getnet B, Asrat B and Amare A (2025) Prevalence of common mental disorders and associated factors among pregnant women attending antenatal care at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2023. Front. Psychiatry 16:1544254. doi: 10.3389/fpsyt.2025.1544254

Received: 12 December 2024; Accepted: 09 July 2025;
Published: 04 August 2025.

Edited by:

Tingyu Mu, Anhui Medical University, China

Reviewed by:

Tilahun Abdeta Deke, Haramaya University, Ethiopia
Teketel Ermias Geltore, Wachemo University, Ethiopia
Zaid Al-Attar, University of Baghdad, Iraq

Copyright © 2025 Temesgen, Getnet, Asrat and Amare. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Kiber Temesgen, a2liZXJ0ZW1lc2dlbjEyQGdtYWlsLmNvbQ==

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