Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Intimate partner violence and maternal depression during pregnancy: A community-based cross-sectional study in Ethiopia

  • Sewhareg Belay ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    betigsew@gmail.com

    Affiliation School of Public Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia

  • Ayalew Astatkie,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – review & editing

    Affiliation School of Public Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia

  • Maria Emmelin,

    Roles Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – review & editing

    Affiliation Department of Social Medicine and Global Health, Lund University, Lund, Sweden

  • Sven Gudmund Hinderaker

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Validation, Writing – review & editing

    Affiliation Centre for International Health, University of Bergen, Bergen, Norway

Abstract

Introduction

Intimate partner violence (IPV) is regarded an important public health and human rights issue, characterized by physical, sexual or emotional abuse. Globally more than one in three women report physical or sexual violence by their intimate partners. Though the association between IPV and depression is known, we found no study investigating depression as a risk factor for IPV and very few studies using standard tools in assessing both IPV and depression among pregnant women.

Aim

To measure the prevalence of IPV and depression during pregnancy and assess the association between IPV and depression and other determinants.

Methods

A community-based cross-sectional study was conducted among 589 pregnant women living in Wondo-Genet district, southern Ethiopia. IPV experience was assessed using a structured questionnaire of the World Health Organization (WHO), and maternal depression was measured by the Edinburgh Postnatal Depression Scale (EPDS). Descriptive statistics were computed and multivariable logistic regression was carried out to estimate risk and adjust for confounders.

Results

The overall prevalence of IPV was 21% (95% confidence interval [CI] = 18.1–24.7). After adjusting for potential confounders, increased risk of IPV remained among rural women (adjusted odds ratio[AOR] = 2.09; 95%CI = 1.06–4.09), women who had parental exposure to IPV (AOR = 14.00; 95%CI = 6.43–30.48), women whose pregnancy was not desired (AOR = 9.64; 95%CI = 3.44–27.03), women whose husbands used alcohol (AOR = 17.08; 95%CI = 3.83–76.19), women with depression (AOR = 4.71; 95%CI = 1.37–16.18) and women with low social support (AOR = 13.93; 95%CI = 6.98–27.77). The prevalence of antenatal depressive symptom (with EPDS score above 13) was 6.8% (95% CI 6.2–11.3). Increased risk of depression was found among women who had been exposed to IPV (AOR = 17.60; 95%CI = 6.18–50.10) and whose husbands use alcohol (AOR = 3.31; 95%CI = 1.33–8.24).

Conclusion

One in five pregnant women experienced IPV and it was strongly associated with depression. Screening for IPV and depression at antenatal visits with referral to relevant care and service is recommended.

Introduction

Intimate partner violence (IPV) is regarded as an important public health and human rights issue, and is characterized by physical, sexual or emotional abuse. Usually the woman is the victim. Globally, more than one in three women report having experienced physical or sexual violence by their intimate partner. According to a report developed by the World Health Organization (WHO), the London School of Hygiene and Tropical Medicine and the South African Medical Research Council, in all regions of Sub-Saharan-Africa, the prevalence of IPV among ever partnered women is above the global average of 30.0% [1, 2]. In Ethiopia, the reported life time prevalence of domestic violence against women ranges from 20% to 78% [3]. Several studies indicated that women who had experienced IPV before pregnancy, continued to suffer during pregnancy [4, 5]. Among pregnant women reported IPV prevalence ranges from 2% to 57% [6], as shown in a systematic review of mainly African studies. Pun and colleagues through their large prospective cohort study which recruited 2,004 pregnant women seeking antenatal care reported a 20% IPV during pregnancy [7]. The prevalence of IPV during pregnancy has been reported to be 30% in Tanzania [8], 35% in Vietnam [9] and 44% in Egypt [10]. A few studies conducted in Ethiopia reported the prevalence during the current pregnancy to range from 23% to 36% [1114], suggesting that the magnitude is not far from the prevalence among non-pregnant women.

Previous research has shown that IPV during pregnancy is associated with fatal and non-fatal ill health for both the mother and the new-born. Demelash etal through their hospital based case-control study conducted among 129 cases and 258 controls demonstrated that mothers who experienced any type of IPV during pregnancy were three times more likely to have a newborn with low birth weight [11]. Sanchez etal through a case-control study showed that, exposure to any IPV during pregnancy had a two-fold increased odds of spontaneous preterm birth [15]. The association between IPV and low birth weight and preterm birth were also evidenced by studies conducted by Ibrahim etal [10], Hassan etal [16] and Koen etal [17]. A large cross-sectional survey conducted among 1180 pregnant women attending antenatal care in Dares Salaam, Tanzania by Mahenge and colleagues revealed significantly higher odds of post traumatic stress disorder, anxiety and depressive symptoms in women who experienced physical and or sexual IPV during pregnancy [18]. Several studies reported evidence in support of these associations [19, 20]. Smoking, alcohol use and poor utilization of maternal health care are also associated with IPV [5, 2023].

The Ethiopian Health Sector Transformation Plan (HSTP) did not address the issue of violence in spite of a strong political momentum for addressing violence against women in health and development agenda globally [24]. Recent studies conducted in Addis Ababa [25] and rural Ethiopia [26] linked IPV with depression; however, one focused on postnatal depression and the other assessed only the emotional aspect of IPV, making comparison difficult. Although it is known that unrecognized and untreated antenatal depression can persist as post-natal depression, few studies were conducted on assessing the prevalence of antenatal depression.

We found very few studies from Ethiopia using standard tools in assessing both IPV and depression among pregnant women. Therefore, we aimed to study IPV and depression among pregnant women. Our specific objectives were to: 1) measure the prevalence of IPV during pregnancy; 2) measure the prevalence of antenatal depression; 3) assess determinants of IPV; and 4) assess the determinants of antenatal depression. This study is part of a larger study on intimate partner violence in Sidama zone, southern Ethiopia.

Methods

Study design

This was a community based cross-sectional study conducted as part of a prospective cohort study from February to August, 2017.

Study setting

The study was conducted in Wondo Genet district which is one of the 19 districts located in Sidama zone of the Southern Nations, Nationalities and Peoples Region. The district had an estimated total population of 153,283 based on the 2007 population and housing census. The total population of reproductive age women was 35,715 and the expected number of pregnancy was 5,304 [27]. It has 3 urban and 12 rural kebeles and 16 health posts and 5 health centers serving the population.

Study population

Pregnant women living in Wondo-Genet district were the target population for this study.

The study population was pregnant women with gestational age 25–34 weeks enlisted by the Health Extension Workers (HEWs), living in the selected two urban and three rural kebeles. Those not currently living with an intimate partner were excluded.

Sample size and sampling

Sample size was estimated in order to have sufficient sample size to estimate the prevalence of IPV with a 5% precision, and calculated based on a presumed prevalence of 32% [13] and design effect of 1.5 to compensate for non-random sampling. Adding 10% for non-response settled for a sample size of 606.

Two urban and three rural Kebeles were selected purposively based on ethnic diversity, population size and convenience for data collectors. The pregnant women were enrolled through home visits using lists available at Health Extension Workers (HEWs). The sample size was allocated to each kebele based on the current available list of pregnant women provided by the one-to-five network leaders and HEWs. Pregnant women who fulfilled the inclusion criteria were consecutively enrolled in to the study until the required sample size was obtained.

Data collection and quality control

Data was collected using a structured questionnaire which composed of socio-demographic and obstetric characteristics, exposure to IPV and depression and social support received from different people. The questionnaire was translated into local languages (Sidaamu afoo) and Amharic and back to English by an expert on the local languages to ensure consistency. The translation and back translation of the EPDS was checked by a psychiatrist. A pilot study was conducted before commencing the actual data collection. Data was collected by face-to face interview based on the questionnaire, and performed by five female field assistants. They had been trained for one week in interviewing techniques, based on WHO ethical guidelines for studies about violence experiences [28]. The data collection was closely supervised by two health officers and the principal investigator.

Variables

The main outcome variables were intimate partner violence and depression during current pregnancy. IPV was assessed using questions adapted from the WHO multi-country study on women’s health and domestic violence against women questionnaire [29]. IPV exposure in “the past 12 month” in the WHO study was changed to “during this pregnancy” in this study since our focus was assessing IPV during pregnancy Intimate partner violence was separated into three types of violence; 1) Physical violence (partner had slapped her with the palm of the hand; forced something to fall on her that could harm her; pushed her, hit her with fist or something else; kicked, dragged or beat her up; purposively choked or burnt her; or tried or actually used weapons); 2) Sexual violence (partner had physically forced her to have sexual intercourse; had sexual intercourse when she did not want to, because she was scared of what her partner might do; or had forced her to do something sexual that she found shameful); 3) Emotional violence (partner had insulted or made her to feel bad about herself; had belittled or humiliated her in front of other people; had done things purposely to frighten or intimidate her; and had tried to harm someone she cared about during the current pregnancy). Intimate partner violence during current pregnancy was coded “yes”, if the woman had experienced any of the three types of violence. IPV was also used as a covariate for analysing risk of maternal depression.

Maternal depression was measured by ten questions of the Edinburgh Postnatal Depression Scale (EPDS) [30] validated in previous studies conducted in Ethiopia [31, 32]. Each of the EPDS items has a score of 0–3, which allowed the total score to range from 0–30. To identify women with depressive symptoms we used a cut- off point of 13 and above [3335]. Reliability test was performed using Cronbach’s alpha and was found to be 0.83, which indicated a high level of internal consistency of the items in the scale. Maternal depression was also used as a covariate for IPV as an outcome.

The covariates included in the analysis were age (years), own and partner’s education (no education, primary and secondary and above), occupation (housewife and others), residence (rural and urban), income (<1500, 1500–2999 and >3000 Ethiopian Birr), age at first marriage (years), duration in marriage (years), parity (number of alive children), desired pregnancy (desired, not desired, don’t know), history of violence between parents (yes, no, don’t know), own and partner’s use of alcohol, khat and cigarettes in the last 30 days (yes, no) and social support was measured by six items of the Maternity Social Support Scale [36]. Each item of the MSSS has a score of 1–5, which allowed the total score to range from 6–30 (low<18, medium 18–23 and high social support 24–30).

Data analysis

Data was double entered by two data entry clerks using Epi-Data v.3.1 software (Odense, Denmark) and was analyzed using SPSS version 20 software. Means, frequency and percentages were computed. Bivariate and multivariable logistic regression analysis was carried out to assess determinants of IPV and determinants of depression, and adjust for potential confounders. The multivariable model was built by entering variables with associations p<0.25 using “Enter” method. Multicollinearity was checked using Collinearity diagnostics. Model goodness of fit was assessed using Hosmer and Lemeshow goodness-of -fit. Statistical significance was set at p-value ≤0.05 and odds ratios with 95% confidence interval (CI) were reported.

Ethics considerations

Ethical approval was obtained from the Institutional Review Board (IRB) at the College of Medicine and Health Sciences, Hawassa University (Ref No: IRB/006/09) and regional ethical committee of Western Norway (Ref No: 2016/1908/REK vest). In the study area generally people do not like to sign, as they are skeptical to signing any official document; informed oral consent was approved by IRB and was acceptable to participants. It was obtained from each participant, and recorded by the interviewer. The study followed the ethical and safety guidelines recommended by the World Health Organization [28]. All the interviews were done with only the participant woman present. Information about available support was given to all women who participated in the study and those who wanted psychological support, were referred to Kela health center to get counseling, and a woman requesting legal support was referred to a relevant body, supported by the study project.

Results

Table 1 shows the socio-demographic characteristics of the participants. A total of 589 pregnant women out of 606 invited were interviewed and enrolled, making a response rate of 97%. The mean age of the participants was 25 years, ranging from 16 to 45 years. Almost half (49.2%) of the participants had attended primary education, while one in five had no formal education. The majority (80.1%) of the participants were housewives. Almost half (48.8%) of their husbands had attended secondary education.

thumbnail
Table 1. Socio–demographic characteristics of pregnant women in Wondo Genet district, Ethiopia, 2017.

https://doi.org/10.1371/journal.pone.0220003.t001

Emotional abuse had been experienced by 86 of the pregnant women (14.6%), sexual abuse by 56 (9.5%) and physical abuse by 54 of the women (9.2%). Many had been exposed to several of these types of IPV. Intimate partner violence of any kind had been experienced by 125 out of 589 pregnant women, making the overall prevalence 21.2%.

Table 2 shows that there was an association between each type of IPV and depression during pregnancy (p<0.001).

thumbnail
Table 2. Association between the different types of IPV and depression.

https://doi.org/10.1371/journal.pone.0220003.t002

Table 3 shows determinants of IPV among the participants. The adjusted risk of IPV was higher among pregnant women who were rural residents, who had as a child witnessed IPV among their parents, in which their pregnancy was not desired, reporting alcohol use by their husband, had low social support and for pregnant women who had depressive symptoms.

thumbnail
Table 3. Determinants of intimate partner violence among pregnant women in Wondo Genet district, Ethiopia, 2017.

https://doi.org/10.1371/journal.pone.0220003.t003

The prevalence of antenatal depressive symptom among the participants (with EPDS score above 13) was 6.8% (95% CI 6.2−11.3).

Table 4 shows determinants of depression among participants; women exposed to IPV had a much higher risk of depression. Women whose husbands drank alcohol had 3 times higher risk of depression.

thumbnail
Table 4. Determinants of depression1 among pregnant women in Wondo Genet district, Ethiopia, 2017.

https://doi.org/10.1371/journal.pone.0220003.t004

Discussion

In this community based study in southern Ethiopia we found that more than 20% of pregnant women suffer from intimate partner violence: emotional violence in 15% of participants, physical in 10% and sexual in 10%, many with a combination. Pregnancy seems not to protect against IPV. We also found that around 7% of them suffered from clinical symptoms of depression. There was a very strong association between IPV and depression.

Our prevalence figures of IPV are consistent with other studies from sub-Saharan Africa focusing on IPV during pregnancy showing prevalence of 25.8% and 23% in Ethiopia [11, 12], 27.7% in Uganda and [37], 28.7% in Nigeria [38]. All these papers used standard and validated tools, had fairly large sample size, are fairly recent, and has a reliable selection of similar participants in terms of setting and residence. Our prevalence figure was also within the range indicated in a systematic review of African studies [6].

There are also some studies about IPV in Africa that showed a higher prevalence of IPV than ours. A community based cross sectional study conducted in Abay Chomen district of Ethiopia showed 44.5% [39] and in Hulet Ejju district of Ethiopia reported 32.2% [13]. The difference in prevalence might be explained by cultural differences of the study areas. In addition, these studies were done in predominantly rural areas, whereas ours was conducted both in rural and urban kebeles. Our finding also confirmed that there was more reported violence in the rural areas. A study conducted in Kenya reported 37% prevalence of IPV, and this study was conducted among pregnant women seeking antenatal care in a district hospital [40]. A review indicated frequent use of health service by women who have experienced IPV [20]. As the Kenyan study was conducted among women visiting a hospital the likelihood of getting women who have experienced IPV is higher than in a community based study. The authors of the Kenyan study themselves acknowledged that the study was conducted in one hospital and consequently that it may not be representative and the reported prevalence was higher than many other studies. Cultural differences could also account for such differences. A study in Tanzania reported 30.3% prevalence of IPV among pregnant women recruited before 24 weeks of gestation [8]. The higher consumption of alcohol by the participants (11%) of the Tanzanian study, and the significant association between alcohol consumption and exposure to IPV might result in higher prevalence in this Tanzanian study than ours. The higher prevalence in the Tanzanian study might also be due to more assertive women so that they tend to disclose IPV as supported by the Tanzanian DHS that more than half of the women who experienced violence sought help from someone to stop the violence [41].

A community based predominantly rural study from Ethiopia reported a 5% IPV prevalence [26]. The lower prevalence could be due to using a different assessment tool. A study from Ghana showed a lower prevalence of IPV (5%), which was collected using tools not standardized for IPV. They assessed only physical violence and used data collected during a demographic and health survey; such a multipurpose study might result in under−reporting as the topic is so sensitive we think they may have missed several cases [42]. A Nigerian study among women in a tertiary hospital reported a prevalence of 2.3%, there may be selection bias with many women of relatively higher socioeconomic status not representative for the community, as well as reporting bias [5].

In agreement with previous studies [5, 8, 14, 4345], this study revealed that rural residence, parental exposure to IPV, undesired pregnancy, low social support, depression and use of alcohol by husbands were determinants of IPV. The higher prevalence in rural areas may be related to various misconceptions held by the community that accepts violence. Though the exact mechanism how social support reduces IPV exposure not known, various studies [8, 43, 44] indicated the link between the two.

Our prevalence figure of depressive symptoms was close to figures reported by three studies conducted in Ethiopia ranging from 10.8% to 12% [26, 46, 47]. It is also comparable with a situational analysis result in five low and middle income countries including Ethiopia [48], a study conducted in Malawi [49] and Nigeria [50]. This could be due to the similarity in the setting and time at which the data was collected (antenatal vs postnatal). However several studies reported a higher prevalence figure ranging 23% to 34% [25, 5155]. Possible reasons might be differences in time at which the data was collected and the screening tool they used.

In order to design prevention strategies based on the patterns found, it is useful to know which specific type of IPV had been associated with depression. Our analysis revealed that all types of IPV were highly associated with depression. This result was evidenced by a population based study conducted on 720 pregnant women in rural Bangladesh which reported an association between physical violence and antepartum depressive symptoms [56]. Varma and colleagues also reported higher depression symptoms in pregnant women with history of sexual abuse [57]. This result highlights the need for due considerations for all types of IPV.

Consistent with previous studies conducted in Ethiopia [26, 33], Malawi [49], Nepal [58] and Bangladesh [59] in this study, exposure to IPV during pregnancy and alcohol use by husband were determinants of antenatal depressive symptoms. Intimate partner violence is among the chronic stressful conditions that increases the risk of depression. Several studies indicated that stressful life events are among the factors significantly associated with depressive symptoms [6062].

The close association between IPV and depression is not surprising. It is very common to see the conditions in the same individuals, but it is not possible to say which one is cause and which one is effect. A systematic review and meta-analysis of longitudinal studies indicated a double risk of incident depressive symptoms among women exposed to IPV and a double risk of incident IPV among depressed women [63]. Depression can make the daily life miserable so that the partner uses IPV, or IPV may be so devastating that the woman develops depression. With our study design we cannot conclude about causation.

This study had several strengths. A fairly large sample size with a good response rate should reflect the situation in the study area. The use of standardized validated tools ensured a fair reliability and validity of our findings. Also, the interview setting ensured confidentiality which is crucial in sensitive topics. Still, the estimated prevalence of IPV in our study should probably be regarded as minimum because of the sensitive topic that makes over−reporting unlikely. The study also had some limitations. The study did not consider the presence of other co−morbid mental health conditions that could contribute to depression, such as anxiety and stress, which could create confounding effects.

Conclusions

In our study one in five pregnant women experienced domestic violence, confirming that pregnancy does not protect from IPV; and it was strongly associated with depression. There is a need for a change in mentality in the society about IPV; this may help survivors of IPV to know that this it is not “normal” but wrong and illegal. Screening for IPV at routine antenatal care can make it more open, but must be combined with an action plan with links to relevant services. There is a need to increase community awareness about the harmful effects of alcohol use by husband in order to reduce alcohol related IPV and depression. Future studies should focus on testing interventions to prevent and reduce IPV.

Supporting information

S1 File. Questionnaire used to conduct the study in Wondo Genet district, Ethiopia, 2017.

https://doi.org/10.1371/journal.pone.0220003.s001

(PDF)

S2 File. Raw data used to construct Tables 1, 2, 3 and 4 in Wondo Genet district, Ethiopia, 2017.

https://doi.org/10.1371/journal.pone.0220003.s002

(SAV)

Acknowledgments

We express our gratitude to managers at Sidama Zone and Wondo Genet district Health Bureau, data collectors and supervisors for their collaboration and support. Our special thanks go to all pregnant women who were enrolled in the study, particularly those who shared their painful experiences with us, as it wouldn’t have been possible without their voluntary participation.

References

  1. 1. World Health Organization. Responding to intimate partner violence and sexual violence against women: WHO clinical and policy guidelines. World Health Organization 2013. (http://apps.who.int/iris/bitstream/handle/10665/85240/9789241548595_eng.pdf) accessed December 2015.
  2. 2. London School of Hygiene & Tropical Medicine, World Health Organization and South African Medical Research Council. Global And Regional Estimates Of Violence Against Women: prevalence & health effects of intimate partner violence and non-partner sexual violence. 2013 2013; http://apps.who.int/iris/bitstream/handle/10665/85239/9789241564625_eng.pdf.
  3. 3. Semahegn A, Mengistie B. Domestic violence against women and associated factors in Ethiopia; systematic review. Reproductive Health, 2015. 12(1): p. 78. https://doi.org/10.1186/s12978-015-0072-1
  4. 4. Kataoka Y, Imazeki M, Shinohara E. Survey of intimate partner violence before and during pregnancy among Japanese women. Jpn J Nurs Sci, 2016. 13(1): p. 189–95. https://doi.org/10.1111/jjns.12093 pmid:26228033.
  5. 5. Fawole AO, Hunyinbo KI, Fawole OI. Prevalence of violence against pregnant women in Abeokuta, Nigeria. Aust N Z J Obstet Gynaecol, 2008. 48(4): p. 405–14. https://doi.org/10.1111/j.1479-828X.2008.00868.x pmid:18837847
  6. 6. Shamu S, Abrahams N, Temmerman M, Musekiwa A, Zarowsky C. A systematic review of African studies on intimate partner violence against pregnant women: prevalence and risk factors. PLoS One. 2011; 6(3): p. e17591. https://doi.org/10.1371/journal.pone.0017591 pmid:21408120
  7. 7. Pun KD, Rishal P, Darj E, Infanti JJ, Shrestha S, Lukasse M, et al. Domestic violence and perinatal outcomes—a prospective cohort study from Nepal. BMC Public Health, 2019. 19(1): p. 671. https://doi.org/10.1186/s12889-019-6967-y pmid:31151395
  8. 8. Sigalla GN, Mushi D, Meyrowitsch DW, Manongi R, Rogathi JJ, Gammeltoft T, et al. Intimate partner violence during pregnancy and its association with preterm birth and low birth weight in Tanzania: A prospective cohort study. PLoS One, 2017. 12(2): p. e0172540. https://doi.org/10.1371/journal.pone.0172540 pmid:28235031
  9. 9. Hoang TN, Van TN, Gammeltoft T, D WM, Nguyen Thi Thuy H, Rasch V. Association between Intimate Partner Violence during Pregnancy and Adverse Pregnancy Outcomes in Vietnam: A Prospective Cohort Study. PLoS One, 2016. 11(9): p. e0162844. pmid:27631968
  10. 10. Ibrahim ZM, Sayed Ahmed WA, El-Hamid SA, Hagras AM. Intimate partner violence among Egyptian pregnant women: incidence, risk factors, and adverse maternal and fetal outcomes. Clin Exp Obstet Gynecol, 2015. 42(2): pp. 212–9. pmid:26054122
  11. 11. Demelash H, Nigatu D, Gashaw K. A Case-Control Study on Intimate Partner Violence during Pregnancy and Low Birth Weight, Southeast Ethiopia. Hindawi Publishing Corporation Obstetrics and Gynecology International, 2015. 2015(394875): p. 6 pages. http://dx.doi.org/10.1155/2015/394875
  12. 12. Laelago T, Belachew T, Tamrat M. Effect of intimate partner violence on birth outcomes. Afr Health Sci, 2017. 17(3): p. 681–689. pmid:29085395
  13. 13. Yimer T, Gobena T, Gudina E, Mellie H. Magnitude of Domestic Violence and Associated Factors among Pregnant Women in Hulet Ejju Enessie District, Northwest Ethiopia. Advances in Public Health, 2014. http://dx.doi.org/10.1155/2014/484897
  14. 14. Gashaw BT, Schei B, Magnus JH. Social ecological factors and intimate partner violence in pregnancy. PLoS One. 2018; 13(3). https://doi.org/10.1371/journal.pone.0194681 pmid:29596497
  15. 15. Sanchez SE, Alva AV, Diez Chang G, Qiu C, Yanez D, Gelaye B, et al. Risk of spontaneous preterm birth in relation to maternal exposure to intimate partner violence during pregnancy in Peru. Matern Child Health J. 2013; 17:3. pmid:22527763
  16. 16. Hassan M, Kashanian M, Hassan M, Roohi M, Yousefi H. Maternal outcomes of intimate partner violence during pregnancy: study in Iran. Public Health. 2014; 128:5. https://doi.org/10.1016/j.puhe.2013.11.007 pmid:24656724
  17. 17. Koen N, Wyatt GE, Williams JK, Zhang M, Myer L, Zar HJ, et al. Intimate partner violence: associations with low infant birthweight in a South African birth cohort. Metab Brain Dis, 2014. 29(2): pp. 281–99. pmid:24729207
  18. 18. Mahenge B, Likindikoki S, Stockl H, Mbwambo J. Intimate partner violence during pregnancy and associated mental health symptoms among pregnant women in Tanzania: a cross-sectional study. BJOG, 2013. 120(8). https://doi.org/10.1111/1471-0528.12185 pmid:24729207
  19. 19. Deyessa N, Berhane Y, Alem A, Ellsberg M, Emmelin M, Hogberg U, et al. Intimate partner violence and depression among women in rural Ethiopia: a cross-sectional study. Clin Pract Epidemiol Ment Health. 2009;5:8. https://doi.org/10.1186/1745-0179-5-8 pmid:19397834
  20. 20. Campbell J.C., Health consequences of intimate partner violence. Lancet, 2002. 359(9314). https://doi.org/10.1016/S0140-6736(02)08336-8 pmid:11965295
  21. 21. Devries KM, Child JC, Bacchus LJ, Mak J, Falder G, Graham K, et al. Intimate partner violence victimization and alcohol consumption in women: a systematic review and meta-analysis. Addiction, 2014. 109(3). pmid:24329907
  22. 22. Audi CA, Correa AM, Latorre Mdo R, Santiago SM. The association between domestic violence during pregnancy and low birth weight or prematurity. J Pediatr (Rio J). 2008; 84(1): pp. 60–7. https://dx.doi.org/10.2223/JPED.1744 pmid:18213435
  23. 23. Mohammed BH, Johnston JM, Harwell JI, Yi H, Tsang KW, Haidar JA. Intimate partner violence and utilization of maternal health care services in Addis Ababa, Ethiopia. BMC Health Serv Res. 2017; 17(1). http://dx.doi.org/10.1186/s12913-017-2121-7 pmid:28270137
  24. 24. Federal Democratic Republic of Ethiopia: Minstry of Health. Health Sector Transformation Plan. 2015.
  25. 25. Adamu AF, Adinew YM. Domestic Violence as a Risk Factor for Postpartum Depression Among Ethiopian Women: Facility Based Study. Clin Pract Epidemiol Ment Health, 2018. 14: pp. 109–119. pmid:29997678
  26. 26. Woldetensay YK, Belachew T, Biesalski HK, Ghosh S, Lacruz ME, Scherbaum V, et al. The role of nutrition, intimate partner violence and social support in prenatal depressive symptoms in rural Ethiopia: community based birth cohort study. BMC Pregnancy Childbirth, 2018. 18(1): pp. 374. https://doi.org/10.1186/s12884-018-2009-5 pmid:30219050
  27. 27. Federal Democratic Republic of Ethiopia population census commission. Summary and statistical report of the 2007 population and housing census. December 2008.
  28. 28. World Health Organization. Global Programme on Evidence for Health Policy. (2001). Putting women first: ethical and safety recommendations for research on domestic violence against women. Geneva: World Health Organization. http://www.who.int/iris/handle/10665/65893.
  29. 29. Garcia-Moreno C, Jansen HA, Ellsberg M, Heise L, Watts C. WHO multi-country study on women’s health and domestic violence against women: initial results on prevalence, health outcomes and women’s responses. World Health Organization 2005.
  30. 30. Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 1987;150(6). pp. 782–6. https://doi.org/10.1192/bjp.150.6.782
  31. 31. Hanlon C, Medhin G, Alem A, Araya M, Abdulahi A, Hughes M, et al. Detecting perinatal common mental disorders in Ethiopia: validation of the self-reporting questionnaire and Edinburgh Postnatal Depression Scale. J Affect Disord, 2008. 108(3): pp. 251–62. https://doi.org/10.1016/j.jad.2007.10.023 pmid:18055019
  32. 32. Tesfaye M, Hanlon C, Wondimagegn D, Alem A. Detecting postnatal common mental disorders in Addis Ababa, Ethiopia: validation of the Edinburgh Postnatal Depression Scale and Kessler Scales. J Affect Disord, 2010. 122(1–2): pp. 102–8. https://doi.org/10.1016/j.jad.2009.06.020 pmid:19615753
  33. 33. Dibaba Y, Fantahun M, 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: pp. 135. https://doi.org/10.1186/1471-2393-13-135 pmid:23800160
  34. 34. Golbasi Z, Kelleci M, Kisacik G, Cetin A. Prevalence and correlates of depression in pregnancy among Turkish women. Matern Child Health J, 2010. 14(4): pp. 485–91. https://doi.org/10.1007/s10995-009-0459-0 pmid:19238527
  35. 35. Hartley M, Tomlinson M, Greco E, Comulada WS, Stewart J, le Roux I, et al. Depressed mood in pregnancy: prevalence and correlates in two Cape Town peri-urban settlements. Reprod Health, 2011. 8: pp. 9. https://dx.doi.org/10.1186%2F1742-4755-8-9 pmid:21535876
  36. 36. Webster J, Linnane JW, Dibley LM, Hinson JK, Starrenburg SE, Roberts JA. Measuring social support in pregnancy: can it be simple and meaningful? Birth, 2000. 27(2): pp. 97–101. pmid:11251486
  37. 37. Kaye DK, Mirembe FM, Bantebya G, Johansson A, Ekstrom AM. Domestic violence during pregnancy and risk of low birthweight and maternal complications: a prospective cohort study at Mulago Hospital, Uganda. Trop Med Int Health, 2006. 11(10): pp. 1576–84. https://doi.org/10.1111/j.1365-3156.2006.01711.x pmid:17002732
  38. 38. Ezechi OC, Kalu BK, Ezechi LO, Nwokoro CA, Ndububa VI, Okeke GC. Prevalence and pattern of domestic violence against pregnant Nigerian women. J Obstet Gynaecol, 2004. 24(6): pp. 652–6. https://doi.org/10.1080/01443610400007901 pmid:16147605
  39. 39. Abebe Abate B, Admassu Wossen B, Tilahun Degfie T. Determinants of intimate partner violence during pregnancy among married women in Abay Chomen district, Western Ethiopia: a community based cross sectional study. BMC Womens Health, 2016. 16: pp. 16. https://doi.org/10.1186/s12905-016-0294-6 pmid:26960962
  40. 40. Makayoto LA, Omolo J, Kamweya AM, Harder VS, Mutai J. Prevalence and associated factors of intimate partner violence among pregnant women attending Kisumu District Hospital, Kenya. Matern Child Health J, 2013. 17(3): pp. 441–7. https://dx.doi.org/10.1007/s10995-012-1015-x pmid:22569943
  41. 41. Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015–16. Dar es Salaam, Tanzania, and Rockville, Maryland, USA: MoHCDGEC, MoH, NBS, OCGS, and ICF.
  42. 42. Pool MS, Otupiri E, Owusu-Dabo E, de Jonge A, Agyemang C. Physical violence during pregnancy and pregnancy outcomes in Ghana. BMC Pregnancy Childbirth, 2014. 14: pp. 71. https://doi.org/10.1186/1471-2393-14-71 pmid:24528555
  43. 43. Ludermir AB, Lewis G, Valongueiro SA, de Araujo TV, Araya R. Violence against women by their intimate partner during pregnancy and postnatal depression: a prospective cohort study. Lancet, 2010. 376(9744): p. 903–10. https://doi.org/10.1016/S0140-6736(10)60887-2 pmid:20822809
  44. 44. Ribeiro MR, Silva AA, Alves MT, Batista RF, Ribeiro CC, Schraiber LB, et al. Effects of Socioeconomic Status and Social Support on Violence against Pregnant Women: A Structural Equation Modeling Analysis. PLoS One, 2017. 12(1): e0170469. https://doi.org/10.1371/journal.pone.0170469
  45. 45. Islam MJ, Mazerolle P, Broidy L, Baird K. Exploring the Prevalence and Correlates Associated With Intimate Partner Violence During Pregnancy in Bangladesh. J Interpers Violence, 2017: 886260517730029. https://doi.org/10.1177/0886260517730029 pmid:29294908
  46. 46. Bisetegn TA, Mihretie G, Muche T. Prevalence and Predictors of Depression among Pregnant Women in Debretabor Town, Northwest Ethiopia. PLoS One, 2016; 11(9): e0161108. https://doi.org/10.1371/journal.pone.0161108 pmid:27618181
  47. 47. Hanlon C, Medhin G, Alem A, Tesfaye F, Lakew Z, Worku B, et al. Impact of antenatal common mental disorders upon perinatal outcomes in Ethiopia: the P-MaMiE population-based cohort study. Trop Med Int Health, 2009; 14(2): pp. 156–66. pmid:19187514
  48. 48. Baron EC, Hanlon C, Mall S, Honikman S, Breuer E, Kathree T, et al. Maternal mental health in primary care in five low- and middle-income countries: a situational analysis. BMC Health Serv Res, 2016; 16: p. 53. pmid:26880075
  49. 49. Stewart RC, Umar E, Tomenson B, Creed F. A cross-sectional study of antenatal depression and associated factors in Malawi. Arch Womens Ment Health, 2014; 17(2): p. 145–54. pmid:24240635
  50. 50. Adewuya AO, Ola BA, Aloba OO, Dada AO, Fasoto OO. Prevalence and correlates of depression in late pregnancy among Nigerian women. Depress Anxiety, 2007. 24(1): p. 15–21. pmid:16845663
  51. 51. 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): e0155125. pmid:27153193
  52. 52. Gebremichael G, Yihune M, Ajema D, Haftu D, Gedamu G. Perinatal Depression and Associated Factors among Mothers in Southern Ethiopia: Evidence from Arba Minch Zuria Health and Demographic Surveillance Site. Psychiatry J. 2018; 2018: p. 7930684. pmid:29854717
  53. 53. Bitew T, Hanlon C, Kebede E, Honikman S, Fekadu A. Antenatal depressive symptoms and perinatal complications: a prospective study in rural Ethiopia. BMC Psychiatry. 2017; 17(1): p. 301. pmid:28830395
  54. 54. Mossie TB, Sibhatu AK, Dargie A, Ayele AD. Prevalence of Antenatal Depressive Symptoms and Associated Factors among Pregnant Women in Maichew, North Ethiopia: An Institution Based Study. Ethiop J Health Sci. 2017; 27(1): pp. 59–66. pmid:28458491
  55. 55. Kerie S, Menberu M, Niguse W. Prevalence and associated factors of postpartum depression in Southwest, Ethiopia, 2017: a cross-sectional study. BMC Res Notes. 2018; 11(1):pp. 623. pmid:30157909
  56. 56. Nasreen HE, Kabir ZN, Forsell Y, Edhborg M. Prevalence and associated factors of depressive and anxiety symptoms during pregnancy: a population based study in rural Bangladesh. BMC Womens Health. 2011; 11: pp. 22. pmid:21635722
  57. 57. Varma D, Chandra PS, Thomas T, Carey MP. Intimate partner violence and sexual coercion among pregnant women in India: relationship with depression and post-traumatic stress disorder. J Affect Disord. 2007; 102(1–3): p. 227–35. https://doi.org/10.1016/j.jad.2006.09.026 pmid:17109969
  58. 58. Ho-Yen SD, Bondevik GT, Eberhard-Gran M, Bjorvatn B. Factors associated with depressive symptoms among postnatal women in Nepal. Acta Obstet Gynecol Scand. 2007; 86(3): p. 291–7. https://doi.org/10.1080/00016340601110812 pmid:17364302
  59. 59. Gausia K, Fisher C, Ali M, Oosthuizen J. Antenatal depression and suicidal ideation among rural Bangladeshi women: a community-based study. Arch Womens Ment Health. 2009; 12(5): p. 351–8. https://doi.org/10.1007/s00737-009-0080-7 pmid:19468825
  60. 60. Robertson E, Grace S, Wallington T, Stewart DE. Antenatal risk factors for postpartum depression: a synthesis of recent literature. Gen Hosp Psychiatry. 2004; 26(4): p. 289–95. https://doi.org/10.1016/j.genhosppsych.2004.02.006 pmid:15234824
  61. 61. Din ZU, Ambreen S, Iqbal Z, Iqbal M, Ahmad S. Determinants of Antenatal Psychological Distress in Pakistani Women. Noro Psikiyatr Ars. 2016; 53(2): p. 152–157. https://doi.org/10.5152/npa.2015.10235 pmid:28360788
  62. 62. Husain N, Parveen A, Husain M, Saeed Q, Jafri F, Rahman R, et al. Prevalence and psychosocial correlates of perinatal depression: a cohort study from urban Pakistan. Arch Womens Ment Health. 2011; 14(5): p. 395–403. https://doi.org/10.1007/s00737-011-0233-3 pmid:21898171
  63. 63. Devries KM, Mak JY, Bacchus LJ, Child JC, Falder G, Petzold M, et al. Intimate partner violence and incident depressive symptoms and suicide attempts: a systematic review of longitudinal studies. PLoS Med. 2013; 10(5): e1001439. https://doi.org/10.1371/journal.pmed.1001439 pmid:23671407