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Ethiop J Health Sci. 2017 January; 27(1): 59–66.
PMCID: PMC5390229

Prevalence of Antenatal Depressive Symptoms and Associated Factors among Pregnant Women in Maichew, North Ethiopia: An Institution Based Study

Abstract

Background

Antenatal depression is one of the common problems during pregnancy with a magnitude of 20% to 30% globally. It can negatively endanger women's and off springs lives. As there are scarce reports on this area in Northern Ethiopia, it is important to carry out different studies that explore the magnitude of the problem and related factors in rural areas. The aim of this study is thus to assess the magnitude of antenatal depressive symptoms and associated factors among women at Maichew Town, North Ethiopia.

Methods

A facility based cross sectional study was conducted among 196 pregnant women from April to June 2015. Pregnant women who had antenatal care follow-ups at the public health facilities were included in the study. Through proportional allocation to each facility, systematic random sampling technique was used to select the study participants. We used the local language version of Beck Depression Inventory to assess depressive symptoms with a cutoff point of 14 or more. Data was collected by trained Psychiatric Nurses; data entry and analysis were processed by SPSS window 20. The level of significance was determined using odds ratio and 95% confidence interval.

Results

About 16.3% of the participants had never given birth before, and 46.4% and 42.3% were in the third and second trimesters of pregnancy respectively. Unwanted pregnancy was reported by 25.5% of the participants. Among those with previous pregnancy, 7.1% had previous obstetric complication. The magnitude of depression was 31.1%. Pregnant women with low level of income (AOR=3.66 (95%CI; 1.12, 11.96)), unmarried (AOR=4.07 (95% CI; 1.18, 14.04)) and house wives (AOR= 4.24 (1.38, 13.03)) were risk groups for depression.

Conclusion

Antenatal depression is a common problem; thus screening activities of depression in antenatal care services should be emphasized with more concern to unmarried women, those with low level of income and house wives.

Keywords: Antenatal depression, Mental Distress, Depression, Depression during pregnancy

Introduction

One of the significant components of reproductive health but with less attention is mental health. At least one in ten women in developed nations and two in five women in the developing world develop depression during pregnancy (1,2).

Antenatal depression is characterized by sad mood, loss of interest, hopelessness, decreased energy, difficulty to think, poor concentration, disturbed sleep and trouble with appetite along with inability to feel happiness (3,4). Sometimes, death wish and suicidal thoughts or attempts may also occur (3,4).

Uterine irritability, pregnancy induced hypertension, pre-eclampsia, postpartum bleeding, pre-term delivery and also emotional and behavioral problems (in the offspring) are common effects of antenatal depression (3,510). It can also present with poor self-care and poor medical (antenatal care) follow-up (510). The probability of using different psycho-active substances by the mother is increased and has a potential effect on the fetus (3,510). In addition, decreased head circumference, low birth weight and decreased reflex response are common effects on the fetus (1114). Contrary to this, a study from Pakistan concluded that antenatal depression is not associated with low birth weight (15). Post partum depression (depression after giving birth) was strongly associated with antenatal depression (1620). Similarly, it exposes the offspring to childhood maltreatment and at risk of developing mental health problems in the future (21).

A number of factors can predispose to antenatal depression. Of these, some are poor ANC follow up, malnutrition, facing with a stressor, past history of mental illness, pregnancy related complications and previous operative delivery (22).

Antenatal depression among low income Brazilian women indicated that the prevalence of depression in the third trimester of pregnancy was 38%. Also, depression in the first six months after delivery was reported among 43% of the women (23). Diverse Chinese based studies reported that the magnitude of antenatal depression lies from at least 5.5% to a maximum of 23.1% (24, 25). Similarly the prevalence of depression in the second and third trimesters of pregnancy was 18.9% and 22.1% respectively in Hong Kong (26). In Taiwan it was 20% during the third trimester (27).

A study from Mumbai reported that the prevalence of antenatal depression was 9.2%; and it was related with unplanned pregnancy, history of abortion and obstetric complications (28). In South Africa, similar prior studies reported 21% – 47% magnitude of antenatal depression that was predicted by single marital status, low socio economic status, recent stressful life events, unplanned pregnancy, childhood trauma and past-year intimate partner violence (29,30).

In Ethiopia, the magnitude of antenatal depression is found to be in a range of 24.9% - 30% in Addis Ababa; 23% at Gondar and 25.6% at Shashemene (31,32,33,34,35). In addition, the independent factors associated include obstetric problems, unplanned pregnancy, past mental illness, unmarried by marital state, lack of family support, lack of spouse support, violence during pregnancy, low socio economic status, younger age, first pregnancy and poor antenatal care follow up (31,32,33,34,35).

In general, antenatal depression has enormous effects on the mother and her offspring, and it can complicate the pregnancy so that different research activities that try to explain the problem are important. This study provides relevant information about the magnitude of the problem and related factors at Maichew Town where there has been no prior similar study. This is crucial to the public health facilities, regional health bureau and other stakeholders. Because it provides relevant information that can be used as an input in planning different packages to address comprehensive need of pregnant women in rural areas, the main objective of this study is to determine the magnitude of antenatal depression and to identify the independent related factors among pregnant women at Maichew, Tigray, Ethiopia.

Methods and Subjects

Setting: The study was conducted at Maichew Town, which is found in the northern part of Ethiopia in Tigray region. Maichew is a town located at 665 km north of Addis Ababa. Its altitude is 2479 meters above sea level. According to Ethiopia's agro-ecological setting, Maichew and its environments are classified under the Weinadega (semi-temperate zone) (36).

Based on the 2007 national census conducted by the Central Statistical Agency of Ethiopia (CSA), this town has a total population of 23,419, of whom 11,024 are men and 12,395 women. About 95.3% of the population is Orthodox Christian. Maichew has one hospital and two health centers which they have antenatal care follow-up services (36).

Design: Facility based quantitative cross sectional study was conducted. All women who had ANC follow-up at public health facilities were the source population whereas those mothers who came to ANC follow-up during the study period and who were randomly selected were the population studied. Pregnant women with serious medical illness at follow-up or those who had known depressive disorder were excluded from the study.

Sampling and sampling procedure: The sample size was determined using the following assumptions: 95% level of confidence interval, a 5% margin of error and a proportion of 30% (magnitude of antenatal depression at Addis Ababa (31,32,33) and a 10% non-response rate. Based on this assumption, the actual sample size for the study was 322. Since the source population was 600, we employed correction formula, and the final sample size became 209.

All public health facilities (two health centers and one hospital) in the town were included in the study. After reviewing a one-month follow-up record of the facilities, proportional allocation was considered, and participants were selected through systematic random sampling technique. To determine the degree of association, socio-demographic factors, gynecological and obstetric conditions and health related factors were taken as independent factors.

Data collection and quality assurance: The study was conducted from April to June 2015. Local language version of interviewer administered structured questionnaire was used to collect data. Beck Depression Inventory tool was also used to assess depressive symptoms. Data was collected by trained psychiatric nurses after a trail of pre-test in 5% of the samples at private clinics. Each filled questionnaire was checked daily for completeness and accuracy.

To assure quality, data collectors were trained. In addition, the questionnaire was translated from English to a local language (Tigrigna) and back to English by professional translators with the assistance of a mental health specialist. Also, pre-test was carried out in 12 mothers who had follow-ups at private clinics. Supervision was employed throughout the data collection period. Besides, daily check of the data for completeness and consistency was under taken.

Operational definition: According to Beck's Depression Inventory, a score of 14 or more was considered having depressive symptoms. Also, subtypes of depression were interpreted as a score of 0–13 (minimal depression), 14–19 (mild depression), 20–28 (moderate depression) and 29–63 (severe depression).

Ethical clearance: Ethical clearance and permission were was obtained from the Ethical Review Committee of the College of Health Science, Mekelle University and the respective health institutions respectively before the data collection process started. All the study participants were informed about the objectives and importance of the study. In addition, brief information on the importance of early identification and proper treatment of antenatal depression were discussed. Also, the study subjects were informed that they could skip question or questions that they did not want to answer fully or partly. They were also told to stop the interviewing process at any time if they wanted to do so. Participants with moderate and above levels of depression were referred to the nearby psychiatry clinic for further evaluation.

Results

A total of 196 mothers participated in the study with a response rate of 93.8%. The large portion (92.3 % (181)) of pregnant mothers were married; 34.7 %( 68 mothers) were in the age group between 26–30 years. About 73(37.2%) had attended high school level education. In addition half of the respondents (50.5 %) said they were housewives.

The religion followed for 91.8%(180) was Orthodox Christianity and the commonest household monthly income reported by 55.6%(109) pregnant mothers ranged from 500–1500 Birr. Almost all, i.e. 99.5% (195 mothers) were not substance abusers, and unwanted pregnancies account 25.5%. About 46.4% (91) were in the third trimester and the remaining 42.3%( 83), 11.2%(22) were in the second and first trimesters respectively. In addition, 32%(62) said they had delivered twice and 32.1% (63) said it third their third gestation. From the total of 196 respondents, 93.4%(170) had no previous history of obstetric complication. Similarly, 97.4%(191) were negative for sexually transmitted diseases.

Magnitude of antenatal depression: A total of 61 mothers scored 14 and above on BDI. Thus, the magnitude of antenatal depression was 31.1%. Of these, 19.8% had mild depression, 8.2% had moderate depression while 3.1% had severe depression.

Half of the mothers (50%) who came for ANC whose ages were in the age group of 15–20 years had depression. Of them, 12.5% had severe depression, and the remaining 87.5% was shared by mild and moderate depression equally (Figure 1).

Figure 1
Magnitude of antenatal depression across the age group of pregnant women, Maichew, Ethiopia, June 2015

Antenatal depression among married pregnant mothers was found to be 28.2%, and among these mothers 7.8% had severe depression. In addition, half of the mothers who are divorced were found to have depression. This 50% is equally shared by mild and moderate depression. Severe depression was absent among divorced mothers.

From the pregnant mothers who said that they never went to formal education, 42.9% had depression, and of them, 33.3% had mild depression. Also, it was 30.9% among mothers who quit schooling from elementary level. Similarly, depression among pregnant mothers who were in college or higher level of education was 36%. The magnitude of mild and moderate depression was 76.9% and 23.1% respectively. Severe depression was absent in mothers who were in college or higher level of education. Depression in mothers whose monthly household income was less than 500 Birr was 75%, and 33% it was among those whose level of income is between 50 – 1500 Birr (Figure 2).

Figure 2
Magnitude of antenatal depression in relation to household monthly income, Maichew, Ethiopia, June 2015

The prevalence of depression in the first, second and third trimester of pregnancy was 36.4%, 26.5% and 34.1% respectively (Table 1). Depression in mothers who had never given birth before (first pregnancy) accounts for 46.9%; but it was 27% for women with second pregnancy.

Table 1
Magnitude of antenatal depression in relation to trimester of pregnancy among women at Maichew, Ethiopia, June 2015 (n=196).

Table 1: Magnitude of antenatal depression in relation to trimester of pregnancy among women at Maichew, Ethiopia, June 2015 (n=196).

Depression in mothers who had history of obstetric complication accounted for 50%. Of these, 16.7% had severe depression, 50% had moderate depression while 33.3% had mild depression (Figure 3).

Figure 3
Magnitude of antenatal depression in relation to previous history of obstetric complication among pregnant women, Maichew, Ethiopia, June 2015

The mutivariate analysis showed that women who were unmarried were about 4 times more likely to be depressed than married mothers (AOR= 4.07 ((95% CI; 1.18, 14.04)). Those pregnant women with low level of income (monthly income of <1500 Birr) were 4 times more prone to develop depression than women who earn monthly income of more than 1500 Birr ((AOR= 4.06; 95% CI (1.32, 12.49)). In addition, housewives, compared to women who were involved in private jobs, were 4 times more likely to be depressed (AOR= 4.24 (1.38, 13.03)) [Table 2].

Table 2
Association between antenatal depression and other factors, Maichew, Ethiopia, June 2015.

Discussion

This study attempted to determine the magnitude of antenatal depression and its socio-demographic variation among pregnant mothers at health institutions of Maichew Town. The magnitude of antenatal depression was 31.1%. Our findings show that the magnitude of antenatal depression was almost similar with Brazil (38%), South Africa (20–47%) (29,30,37)), developed countries (oscillates between 5–30%) and Addis Ababa (25–30%) (22,23,31,32,33). Still, it is a little higher than studies from Gondar (23%) and Shashemene (25.6%) (34,35). This might be due to larger sample size in both studies compared to the current study. Studies in Japanese (5.6 %, (38)), East Asia (4.8% (39)), in Navi Mumbai (9.18 % (28)) showed lower magnitude than this study. The reason for this variation could be the mothers' ego strength and proper care for the pregnant mothers; there also are cultural variations.

Monthly household income of pregnant mothers was a significant variable that holds a large percentage in antenatal depression. Studies in developing countries (28), South Africa, i.e. outskirts of Cape Town (37) and Shashemene in Ethiopia (35) showed that pregnant mothers with low income had more depression during pregnancy than those who have medium and high monthly household income. This can be due to worrying for parents' and the coming babies' basic needs for a better quality life.

Low level of income in our study is similarly related to depression during pregnancy. In addition, those pregnant women who are employed in private activities are less likely to develop depression than housewives. Some housewives have additional job in which they can engage in different settings besides their household activities whereas others do not have such opportunities due to either low socio-economic status or huge burden in household activities. And, these issues may in turn contribute to emotional disturbance. This fact was similarly found at Gondar, Ethiopia (34).

In the current study, unmarried women were at risk of depression. It can be explained by poor social support during pregnancy that was common predictor of depression as indicated in prior studies (32,34,35). This finding was similarly reported in earlier studies at South Africa, Addis Ababa and Shashemene (29,30,33,35).

Unwanted pregnancy is also another variable which has a great role on depression during pregnancy as reported in prior studies (22 and 28). However, it did not show a significant association in this study. Women with younger age were more likely to have antenatal depression compared to other age groups (37). However, there was no significant association between age group and antenatal depression in the current study.

Pregnant mothers with history of obstetric complication were more prone to antenatal depression as found in earlier studies. This may be due to fear of having another complication in the current pregnancy (28,35). In this study, 25.5% of pregnancies were unwanted, but no significant association was observed between unwanted pregnancy and antenatal depression.

Moreover, antenatal depression was common during pregnancy that was more prevalent among housewives and in those with low level of income. Hence screening activities for depression in antenatal care service should be emphasized with particular attention to unmarried mothers, mothers with low level of income and mothers who are housewives.

We have summarized limitations of this study as follows. The study was facility based; so, it is not e representative of the community as the ANC rate is not 100% in the area. This is the major limitation. In addition, the sample size used was small which might hinder the assessment of different variables. The other point is concerns the research tool we employed; the assessment tool BDI is not validated in Tigrigna.

Acknowledgement

We express our appreciation to College of Health sciences, Mekelle University. Public health facilities at Maichew, data collectors and study participants are also highly acknowledged for their valuable contributions to this work.

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