Prevalence of postpartum depression and associated factors among postnatal care attendees in Debre Berhan, Ethiopia, 2018.

DOI: https://doi.org/10.21203/rs.2.14705/v2

Abstract

Background: Postpartum depression explains various groups of depressive symptoms and syndromes that take place during the first 6 weeks following birth. The postpartum period is a critical time where both mild and severe mood disorders can occur. The familiar forms are baby blues and postpartum depression. Understanding  the prevalence and associated factors of postpartum depression is mandatory for early detection and treatment. Methods: Institution based cross-sectional study was conducted from 1st May to June 30, 2018. The study participants were eligible women who came to Debre Berhan referral hospital and health centers for postnatal care and vaccination service. The Edinburgh postnatal depression scale was used to assess postpartum depression. Systematic random sampling technique was used to collect the data after determining the skip fraction (k=2). The collected data were coded and entered into Epi-info version 7 and transported to SPSS version 20 for analysis. Both bivariate and multivariate binary logistic regression were done to identify associated factors. During bivariate analysis, variables with p-value < 0.05 were included in multivariate analysis. Odds ratios and their 95% confidence intervals were computed and variables with p-value less than 0.05 were considered significantly associated factors (multivariate analysis).   Results: A total of 308 mothers who attended postpartum care included, wich was 100% response rate. The prevalence of postpartum depression was found to be 15.6 %( 95%CI=11.7, 19.8). Being widowed/widower (AOR=4.17 (95% CI=1.14, 15.20)), had poor social support (AOR=5.11(95% CI= 1.00, 26.18), had a hospitalized child (AOR=3.32(95%CI= 1.39, 7.93), and had died family or close relative (AOR=2.92(95%CI=1.01, 8.50)) were significantly associated factor with postpartum depression.Conclusions: the prevalence of postpartum depression was lower than most studies done in different areas. Major life events and trauma are associated with an increased risk of postpartum depression. Health professionals should aware of the mother’s circumstances during pregnancy, they should initiate support to reduce the risk of depression in the postpartum period. Health care professionals working postpartum care clinics should give special attention to mothers who were widowed/widower, had poor social support, had a hospitalized child, and had died family or close relative.

BACKGROUND

Postpartum depression (PPD) refers to non-psychotic depressive episodes that begin in or extend into the postpartum period (1).  According to The American psychiatric association (APA) postpartum depression is defined as the occurrence of a major depressive episode (MDE) within 4 weeks after delivery (2).

 About 14% of the worldwide burden of disease has been attributed to neuropsychiatric disorders, including those disorders that can occur during the postpartum period. Such estimates have drawn attention to the importance of mental disorders for public health (3). The estimated lifetime prevalence of having one or more of the mental disorders varies widely across the world as shown by mental health surveys, from 12.1% in Nigeria to 47.4% in the United (4).

Postpartum depression is a non-psychotic depressive disorder that affects 13% to 19% of postpartum women and those women experience sign and symptoms like self-blaming thought, guilt about their inability to look after their new baby, low self-esteem, lack of interest in one’s environment, insecurity and suicidal thoughts. This condition begins in the postpartum period and persists up to a one-year duration after delivery. The treatment option for PPD women is behavioral counseling and anti-depressant therapy (2, 5-7).

World health organization (WHO) reported that for women of reproductive age group depression becomes the leading cause of disease burden (8). Postpartum nonpsychotic depression is a considerable public health problem and the most common complication of childbearing age that affect approximately 10 -15 % of postpartum women. In developing countries, the prevalence of postpartum depression almost doubled the developed world. The effect of postpartum depression on mother, her marital relationship and her children make it an important condition to diagnose, treat and prevent (9, 10). Untreated postpartum depression can have a prolonged adverse effect for the mother and her children. Pregnant mothers’ ongoing depression can contribute to the emotional, behavioral, cognitive and interpersonal problems (11).

Epidemiological studies conducted in China, Japan, India and New Dubai Hospital in Dubai, revealed that the overall prevalence of postpartum depression was 13.5%, 17%, 23% and 15.8% respectively (12-15). Another quasi-experimental study conducted among 420 consenting pregnant women on the title of postpartum depression in peri-urban communities of Karachi, Pakistan revealed that the overall prevalence of postpartum depression was 28.8% (16).

Having depression during the postnatal period affect the growth of the child due to the mothers care to the child could be decreased. Determining the prevalence of postpartum depression and identifying associated factors with it is important to show the magnitude of the problem. The result of the study could benefit policymakers, and the district health team in designing strategies to mitigate the problem. This study aimed to determine the prevalence of postpartum depression in the study area and to identify associated factors of postpartum depression.

Specific objectives:

METHODS

The study area, design and period

The study was conducted in Debre Berhan town which found in North Shoa zone at Amhara regional state of Ethiopia. The study site had a total of one government-owned referral hospital, three health centers, five private clinics, and more than ten pharmacies. This town is found 130 kilometers away from the capital city of Ethiopia; Addis Ababa. Cross-sectional study design was employed from 1st May to June 30, 2018.

Population                      

Source Population: All women who came for postnatal care and vaccination services within 6 weeks after delivery in a referral hospital and health centers in Debre Berhan, Town Ethiopia.

 Study Population: all women who came for postnatal care and vaccination service within 6 weeks after delivery during the data collection period.

Eligibility

Inclusion Criteria: All women who gave birth and who came for postnatal care and vaccination service within 6 weeks after delivery in health centers and referral hospital were included.

 Exclusion Criteria: Women who had a verbal communication problem and complete loss of hearing were excluded.

Sample size calculation and sampling technique

The required sample size was determined by using a single population proportion formula with the following assumptions: (Z α/2) = value for the 95% CI, =1.96, the proportion of postpartum depression ; similar study at Gondar, Ethiopia (P= 24%), d = margin of error taken as 5%; by adding 10% of study subjects as nonresponse rate, the final sample size became 308. The study subjects were interviewed by using systematic random sampling after determining the sampling fraction (k=613/308= 2) and the first participant was selected by using lottery method. The total sample size (n=308) was allocated proportionally according to the total number of postpartum care and vaccination service attendees at each health center (Kebele 04, Kebele 07, Kebele 08) and Debre Berhan referral hospital.

 

Study variables

Dependent variable: Postpartum Depression (yes/no)

Independent variables    

Socio-demographic factors: - (age, educational status, economic, marital status, employment, monthly income, current residence).

Social factors: - social and husband support, emotional violence, physical violence, sexual violence.

Substance use: use of any substance during perinatal period for a non-medical purpose (like Khat, alcohol, and cigarette).

Obstetrics factors: parity, pregnancy intention, hospitalized baby, mode of delivery, perinatal complication or illness, stressful life event during perinatal period and undesired fetal sex

Previous psychiatric history: A family history (first-degree relatives) of psychiatric problem.

Data collection tools and procedures

A structured interviewer-administered questionnaire was used to collecting information from study participants. Sociodemographic, clinical, and obstetric factors were assessed by predefined checklists. The social support level was assessed by using the Oslo social support scale, and Edinburgh postnatal depression scale (EPDS) was used to assess postpartum depression. Data were collected with an interviewer-administered questionnaire from mothers who came for postnatal care and vaccination service.

Data quality control and analysis

The data collection instrument was pre-tested on 5% of the sample size out of Debre Berhan town to improve language clarity, and appropriateness of data collection tools. The estimated time required, and necessary amendments were made after piloting of the questionnaire. Four fourth year undergraduate nursing students were collected the data. The data collectors were trained for one day on the techniques of data collection. The training also included the importance of disclosing the possible benefit and purpose of the study to the study participants before the start of data collection. The researcher checked completeness and consistency of questionnaires filled by the data collectors to ensure the quality of data and also visited the data collectors as many times as possible to check whether he/she collected the data appropriately. The collected data were entered into Epi-info version 7 and analysis was done after the data were imported to SPSS version 20. During bivariate analysis, variables with p-value < 0.05 were exported to multivariate analysis.  Crude and adjusted odds ratios were analyzed using bivariate and multivariable binary logistic regression analysis and the level of significance of association was determined at P-value <0.05.

Results

Socio-Demographic characteristics of postpartum mothers

A total of 308 mothers were included in the study, which was 100% response rate. Among the study subjects, two hundred eighty-six (86%) were aged 25-45 years and almost 85% were married. The majority of the participants, 206 (66.9%) were attended formal (modern) education. Regarding ethnicity, the majority of the study participants, 234 (76%) were Amhara and 62 (20.1%) were Oromo. Two hundred sixty-eight (87%) of the participants earn monthly income greater than 2500 Ethiopian Birr. Almost sixty percent of the participant's religion, 191 (62%) were orthodox Christian followers (Table 1).

Obstetric and clinical characteristic of postpartum mothers

From 308 study participants, the majority of respondents 254(82.5%) were multigravida (give birth > 1) and 54(17.5%) were primigravida (having first child). Almost 80% of participants had two or more living child during the study period. Regarding termination of pregnancy, 53(17.2%) had experienced termination and 39(12.7%) had experienced the death of their child. Forty-eight (15.6%) participants reported that the recent pregnancy was unplanned. Moreover, the sex of the last baby 189 (61.4%) were male and the rest were female. Regarding the desired sex of the last baby, 36(11.7%) of the respondents said that the sex of their infant was unwanted gender. Nearly 62% of participants, 190 (61.7%)  mode of delivery were spontaneous vaginal delivery. Forty seven, 47 (15.3%) respondents had suffered from any diagnosed illness during their last pregnancy and 95(30.8%) study mothers reported their babies were admitted to hospital at least once before (Table 2).

 

Psychosocial factors (in last 6 months) of postpartum mothers

From the total study participants, 62(20.1%) responded that their family or close relative had died. 60(19.5%) reported there was serious diagnosed illness, Injury or assault happened to their close relative. Almost sixty, 59(19.2%) study participants had experienced parent or child death and 42 (13.6%) participant reported that they were separated due to marital difficulty. In addition, 41(13.7%) study participants were unemployed / not been able to work in the last six month of the study period. And also, 40(13%) reported physical violence during last pregnancy (Table 3).

Substance use among postpartum mothers

Overall, 31(10.1%) of study participants reported use of any substance before pregnancy and of these the majority of use was alcohol related; i.e. 21(67.7%). The remaining used only Khat at least once in lifetime. Regarding substance used during the last pregnancy, 18(5.8%) respondents used any kind of substance, and all of them used alcohol.

History of known illness among postpartum mothers

Of the total study participants, 31(10.1%) had known history of mental illness. In addition, 44(14.3%) study respondents had family history of known mental illness and 28(9.1%) had diagnosed diabetes mellitus and hypertension.

Social support among postpartum mothers

Social support status was assessed by using Oslo-3 social support scale. From the total study participants, the majority 137(44.5%) had moderate social support, 114(37%) had poor social support and the rest had strong social support. During pregnancy, 175 (56.8%), 111(36%) and 22(7.1%)  had strong, moderate and poor husband support respectively. Thirty six percent, 112(36.4%) study participants had no practical support from family member during pregnancy (such as cooking, washing, cleaning or child-rearing), and during puerperium.

Prevalence of postpartum depression and its associated factors

According to Edinburgh postnatal depression scale (EDPS), study participants who scored ≥ 13 considered as having postpartum depression. Hence, the prevalence of postnatal depression among mothers who have postnatal care follow up was 15.6 %( 95% CI=11.7, 19.8).

Binary Logistic regression was performed to assess the association of each independent variable with  the outcome variable (postpartum depression). The variables that showed a significance level (p <0.05) during bivariate analysis were added to the multivariate regression model. Twenty-two independent variables shown to be a significantly associated during the bivariate analysis. The result of the multivariate analysis showed that only four variables were statistically significant. Being widowed/widower, had a hospitalized child, had died family or close relative, had poor social support shown significant association with postpartum depression.

The results showed that study subjects who were widowed/widower had association with postpartum depression; having four times more likely to experience postpartum depression than who were married [AOR=4.17, 95% CI=1.14, 15.20]. In addition, respondents who had poor social support were five times more likely to be depressed than those who had strong social support [AOR=5.11, 95% CI= 1.00, 26.18]. Respondents who had a hospitalized child were nearly 3 times more likely to be depressed as compared with the respondents who had a hospitalized child [AOR=3.32, 95%CI= 1.39,7.93]. In similar dimension, participants who had died family or close relative in last six month were three times more likely to be depressed than those who did not experience this  [AOR=2.92, 95%CI=1.01,8.50], (Table 4).

DISCUSSION

Prevalence of postpartum depression

The overall prevalence of postpartum depression was 15.6 %( 95%CI=11.7, 19.8). This was almost similar to other studies which were conducted in Delhi and adjacent states of northern India, 15.8 % (17), Egypt 17.9% (18), and Uganda 16.3 % (19).

The prevalence rate were higher in our study when compared with Canadian, Denmark, and Uganda (Kampala), and Egypt study which was 1.6 %, 5.5%  and 6.1%, 7.14% respectively (20-23) . The higher rate might be due to use of different tools, assessment period, sociol support level and economic status of the mothers.

On the other hand, this figure was lower as compared with other similar studies done in Lebanon, 21% (24), Cameroon, 23.4% (25), Nigeria,23% (26). The lower prevalence rate in our study might be due to difference in residency, and sample size difference. For instance the study in Lebanon was conducted in rural area by using follow up study with the sample size of 396 mothers. In addition, the study conduct in Cameroon used case-control study design while our study used cross-sectional study design. Similar studies in Ethiopia, Bahir Dar, 22.1% (27), Benchi Maji Zone, 22.4%(28), Oromia region, 31.5% (29), of mothers were depressed respectively at their postnatal period. These studies had higher prevalence reports than our study. The higher prevalence report in these studies might be due to the screening tool, study design, and sample size. The study done in Oromia region used self-reporting questionnaire (SRQ) and community-based cross-sectional study.

 

Factors associated with postpartum depression

Among the sociodemographic factors, study subjects who were widowed/widower had association with postpartum depression: almost four times higher when compared with those who were married. This association was in agreement with the study done in Ethiopia (30). The agreement might be due to the fact that being married is important for mental health; especially during the postpartum period.

In the social support dimension, respondents who had poor social support were more likely to be depressed than those who had strong social support. The association in estimation was in line with studies done in Malaysian and Pakistan (31), Cameroon; Yaoundé (25) and Hiwot Fana specialized University Hospital in Ethiopia (10). In fact, having poor social support is one of the highest contributor for poor mental health (32).

The variables that were found to have an association with postpartum depression were having a hospitalized child during the postpartum period. Respondents who had a hospitalized child were almost three times more likely to be depressed as compared to the respondent who had a hospitalized child. In a similar dimension, participants who had died family or close relative in last six month were three times more likely to have postpartum depression than those who had no died family or close relative. The association was in agreement with the study done in Gobe/Robe town; Bale Zone, Ethiopia (29). The possible reason might be due to the fact that experiencing life-threatening events during the postpartum period became intolerable and may affect the mental wellness of the mothers.

 

Limitations: Postpartum women with persisting depression already acquired before/during pregnancy were not excluded and this may further increase the prevalence of postpartum depression. The study only included mothers who had postnatal care follow up in urban area.

Conclusion: Though significant proportions of postnatal mothers had depression, the prevalence of postpartum depression was lower than most studies in different areas. Major life events and trauma are associated with an increased risk of postpartum depression. Health professionals should aware of the mother’s circumstances during pregnancy. They should initiate support to reduce the risk of depression in the postpartum period. Health care professionals working in maternal and child health clinics should give special attention to pregnant mothers who were widowed/widower, had poor social support, had a hospitalized child, and had died family or close relative.

Recommendations: It would be advisable if midwife professionals routinely screen postpartum depressive symptoms and link them to mental health services just like other reproductive health problems for mothers attending hospitals and health centers after delivery.

DECLARATIONS

Authors’ Contribution

AD: Analyze the data and write up the thesis report and the manuscript. KD: select the title and develop the proposal. All the authors read and approved the final manuscript and agreed to be accountable for all aspects of the work.

Availability of data and materials: All relevant materials and data supporting the findings of this study are contained within the manuscript.

Ethics Approval: Ethical clearance was obtained from the Debre Berhan University ethical review board (IRB). Permission letter to each study health institution was written and permission letter was taken.

Consent to participate: Written informed consent was taken from each study participants.

Consent for publication: the manuscript did not contain individuals’ person detailed data in any form.

Competing of Interest: The authors declare that they have no conflicts of interest.

Funding: This study was not supported by any grant. Funding for data collection, entry, analysis and write-ups were provided by the authors.

Acknowledgment: Our thanks dedicated to Debre Berhan University and AMARI project. Kefyalew Dagne was supported through AMARI (Africa mental health research initiative) which is funded through the DELTAS Africa initiative (DEL-15-01).

REFERENCES

  1. O'Hara MW. Postpartum depression: what we know. Journal of clinical psychology. 2009;65(12):1258-69.
  2. Association AP. Diagnostic and statistical manual of mental disorders (DSM-5®): American Psychiatric Pub; 2013.
  3. Johnson J, Weissman MM, Klerman GL. Service utilization and social morbidity associated with depressive symptoms in the community. Jama. 1992;267(11):1478-83.
  4. Kessler RC, Angermeyer M, Anthony JC, De Graaf R, Demyttenaere K, Gasquet I, et al. Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization's World Mental Health Survey Initiative. World psychiatry. 2007;6(3):168.
  5. Bennett HA, Einarson A, Taddio A, Koren G, Einarson TR. Prevalence of depression during pregnancy: systematic review. Obstetrics & Gynecology. 2004;103(4):698-709.
  6. Evans J, Heron J, Patel RR, Wiles N. Depressive symptoms during pregnancy and low birth weight at term. The British Journal of Psychiatry. 2007;191(1):84-5.
  7. Health NCCfM. Depression in children and young people: identification and management in primary, community and secondary care. Database of Abstracts of Reviews of Effects (DARE): Quality-assessed Reviews [Internet]: Centre for Reviews and Dissemination (UK); 2005.
  8. Organization WH. The global burden of disease: 2004 update. Geneva: WHO; 2008. 2017.
  9. Stewart DE, Robertson E, Dennis C-L, Grace SL, Wallington T. Postpartum depression: Literature review of risk factors and interventions. Toronto: University Health Network Women’s Health Program for Toronto Public Health. 2003.
  10. Shewangzaw A, Tadesse B, Ashani T, Misgana T, Shewasinad S. Prevalence of Postpartum Depression and Associated Factors among Postnatal Women Attending At Hiwot Fana Specialized University Hospital, Harar, East Ethiopia, 2015/2016. Open Access Journal Of Reproductive System And Sexual Disorders. 2018;1(1):4-19.
  11. Jacobsen T. Effects of postpartum disorders on parenting and on offspring. Postpartum mood disorders. 1999:119-39.
  12. Ghubash R, Abou-Saleh M. Postpartum psychiatric illness in Arab culture: prevalence and psychosocial correlates. The British Journal of Psychiatry. 1997;171(1):65-8.
  13. Lee DT, Yip AS, Chiu HF, Leung TY, Chung TK. A psychiatric epidemiological study of postpartum Chinese women. American Journal of psychiatry. 2001;158(2):220-6.
  14. Yoshida K, Yamashita H, Ueda M, Tashiro N. Postnatal depression in Japanese mothers and the reconsideration of ‘Satogaeri bunben’. Pediatrics International. 2001;43(2):189-93.
  15. Patel V, Rodrigues M, DeSouza N. Gender, poverty, and postnatal depression: a study of mothers in Goa, India. American journal of Psychiatry. 2002;159(1):43-7.
  16. Ali NS, Ali BS, Azam IS. Post partum anxiety and depression in peri-urban communities of Karachi, Pakistan: a quasi-experimental study. BMC public health. 2009;9(1):384.
  17. Gupta S, Kishore J, Mala Y, Ramji S, Aggarwal R. Postpartum depression in north Indian women: prevalence and risk factors. The Journal of Obstetrics and Gynecology of India. 2013;63(4):223-9.
  18. Saleh E-S, El-Bahei W, del El-Hadidy MA, Zayed A. Predictors of postpartum depression in a sample of Egyptian women. Neuropsychiatric disease and treatment. 2013;9:15.
  19. Kakyo TA, Muliira JK, Mbalinda SN, Kizza IB, Muliira RS. Factors associated with depressive symptoms among postpartum mothers in a rural district in Uganda. Midwifery. 2012;28(3):374-9.
  20. Eberhard‐Gran M, Eskild A, Tambs K, Samuelsen S, Opjordsmoen S. Depression in postpartum and non‐postpartum women: prevalence and risk factors. Acta Psychiatrica Scandinavica. 2002;106(6):426-33.
  21. Nielsen D, Videbech P, Hedegaard M, Dalby J, Secher NJ. Postpartum depression: identification of women at risk. BJOG: An International Journal of Obstetrics & Gynaecology. 2000;107(10):1210-7.
  22. Nakku J, Nakasi G, Mirembe F. Postpartum major depression at six weeks in primary health care: prevalence and associated factors. African health sciences. 2006;6(4).
  23. Salem MN, Thabet MN, Fouly H, Abbas AM. Factors affecting the occurrence of postpartum depression among puerperal women in Sohag city, Egypt. Proceedings in Obstetrics and Gynecology. 2017;7(1):1-10.
  24. Chaaya M, Campbell O, El Kak F, Shaar D, Harb H, Kaddour A. Postpartum depression: prevalence and determinants in Lebanon. Archives of women's mental health. 2002;5(2):65-72.
  25. Adama ND, Foumane P, Olen JPK, Dohbit JS, Meka ENU, Mboudou E. Prevalence and risk factors of postpartum depression in Yaounde, Cameroon. Open Journal of Obstetrics and Gynecology. 2015;5(11):608.
  26. Owoeye A, Aina O, Morakinyo O. Risk factors of postpartum depression and EPDS scores in a group of Nigerian women. Tropical Doctor. 2006;36(2):100-3.
  27. Abebe A, Tesfaw G, Mulat H, Hibdye G. Postpartum depression and associated factors among mothers in Bahir Dar Town, Northwest Ethiopia. Annals of general psychiatry. 2019;18(1):19.
  28. Toru T, Chemir F, Anand S. Magnitude of postpartum depression and associated factors among women in Mizan Aman town, Bench Maji zone, Southwest Ethiopia. BMC pregnancy and childbirth. 2018;18(1):442.
  29. Tefera TB, Erena AN, Kuti KA, Hussen MA. Perinatal depression and associated factors among reproductive aged group women at Goba and Robe Town of Bale Zone, Oromia Region, South East Ethiopia. Maternal health, neonatology and perinatology. 2015;1(1):12.
  30. Bitew T. Prevalence and risk factors of depression in Ethiopia: a review. Ethiopian journal of health sciences. 2014;24(2):161-9.
  31. Klainin P, Arthur DG. Postpartum depression in Asian cultures: a literature review. International journal of nursing studies. 2009;46(10):1355-73.
  32. Kessler RC, McLeod JD. Social support and mental health in community samples: Academic Press; 1985.

Tables

Table 1. Socio-demographic characteristics of mothers who have postnatal care at Debre Berhan health centers and referral hospital, 2018

Variables

Category

Frequency

Percentage

Age in years

19-24

43

14.0

25-45

265

86.0

Marital status       

Single

28

9.1

Widowed/widower

19

6.2

Married

261

84.7

Address

Urban

215

69.8

Rural

93

30.2

Religion

Orthodox

191

62.0

Catholic

15

4.9

Muslim

47

15.3

Protestant

55

17.9

Ethnicity

Amhara

234

76.0

Oromo

62

20.1

Tigray

12

3.9

Attended modern education      

Yes

206

66.9

No

102

33.1

Occupational status of mother     

Government employed

84

27.2

House wife

146

47.4

private employed

58

18.8

Farmer

8

2.6

Unemployed

12

3.9

Monthly income

 

 

 

≤ 1200

5

1.6

1201-2500

35

11.4

≥2501

268

87.0



Table 2:- Obstetric and clinical characteristic among mothers who have postnatal care, Debre Berhan, Ethiopia, 2018

Variable

Category

Frequency

Percent %

Number of pregnancy

1

54

17.5

≥ 2

254

82.5

Living child

1

64

20.8

≥ 2

244

79.2

Sex of last baby

Male

189

61.4

Female

119

38.6

Desired sex of the baby

Desired

271

71.3

Undesired

109

28.7

Abortion

Yes

25

6.6

No

355

93.4

Pattern of pregnancy termination

Spontaneous

47

15.3

Induced

6

1.9

Number of termination of pregnancy

1

49

15.9

 ≥ 2

4

1.3

Baby death

Yes

38

10.0

No

342

90.0

Hospitalized baby

Yes

95

30.8

No

213

69.2

Mode of delivery

Vaginal

190

61.7

Cesarean section

87

28.2

Vacuum/forceps

31

10.1

Planed pregnancy

Yes

260

84.4

No

48

15.6

Illness/complication in last pregnancy

Yes

47

12.4

No

333

87.6



Table 3:- psychosocial characteristic (in last 6 months) among mothers who have postnatal care, Debre Berhan, Ethiopia, 2018.

Variable

Category

Frequency

Percent (%)

Serious illness injury or assault during pregnancy

Yes

42

13.6

No

266

86.4

Close relative serious illness, injury or assault

Yes

60

19.5

No

248

80.5

Died spouse, parent or child

Yes

59

19.2

No

249

80.8

Died  Family or close relative

Yes

62

20.1

No

246

79.9

Major financial crisis

Yes

37

12.0

No

271

88.0

Sacked from job

Yes

12

3.9

No

296

96.1

Unemployed/not able to work

Yes

41

13.3

No

267

86.7

Separation due to marital difficulty

Yes

42

13.6

 No

266

86.4

Broken off a steady relationship

Yes

33

10.7

No

275

89.3

Serious problem with  close friend, neighbor /relative

Yes

37

12

No

271

88

Lost / stolen  property which mattered a lot

Yes

30

9.7

No

278

90.3

Any problems with police/court

Yes

18

5.8

No

290

94.2

Emotional violence

Yes

26

8.4

No

282

91.6

Physical violence

Yes

40

13

No

268

87

Who physically violate you

Boy  friend

21

52.5

Family member

8

20

Stranger

11

27.5

Forced sexual activity

Yes

35

11.4

No

273

88.6

Who forced you for sexual activity

Boy friend

15

37.5

Family member

2

Stranger

18

45         



Table 4. Bivariate and multivariate analysis of factors associated postpartum depression among mothers who have postnatal care, Debre Berhan, Ethiopia, 2018

 

Variables

Postpartum Depression

 

COR (95%CI)

 

AOR(95%CI)

Yes

  No

Marital status

Single

10

18

4.28(1.81,10.13)

2.70 (0.72,10.21)           

Widowed/widower

8

11

5.60(2.09,15.03)

4.17(1.14,15.20)*

Married

30

231

1.00

1.00

Attend modern school 

Yes

24

182

1.00

1.00

No

24

78

2.33(1.25,4.36)

0.76(0.34,1.71

Social support

Poor

34

80

11.69(2.70,50.67)

5.11(1.00,26.18)*

Moderate

12

125

2.64(0.57,12.19)

1.93(0.36,10.36)

Strong

2

55

1.00

1.00

Husband support

Poor

8

14

4.43(1.65,11.8)           

0.70(0.14,3.57)           

Moderate

20

91

1.70 (0.870,3.33)

1.02(0.42,2.47

Strong

20

155

1.00

1.00

Serious illness, injury or assault to a close relative

Yes

17

43

2.77(1.41,5.44)           

0.28(0.08,10.96)           

No

31

217

1.00

1.00

Died spouse, parent or child

Yes

20

39

4.05(2.08,7.89

0.56(0.17,1.85

No

28

221

1.00

1.00

Died  close family or relative

Yes

21

41

4.15(2.15,8.04)           

2.92(1.01,8.50)*           

No

27

219

1.00

1.00

Has major financial crisis

Yes

14

23

4.24(1.99,9.03)

1.74(0.55,5.49

No

34

237

1.00

1.00

Have sacked from job

Yes

5

7

4.20(1.28,13.85           

0.67(0.21,2.11)           

No

43

253

1.00

1.00

Unemployed/not able to work

Yes

15

26

4.09(1.97,8.51)           

3.21(0.68,15.12)

No

33

234

1.00

1.00

Separation due to marital difficulty

Yes

13

29

2.96(1.40,6.23)

0.72(0.22,2.40)           

No

35

231

1.00

1.00

broken off steady friendship/relationship

Yes

14

19

5.22(2.40,11.37)

0.75(0.22,2.50)

No

34

241

1.00

1.00

Serious problem with  close friend, neighbor /relative

Yes

13

24

3.65(1.70,7.83)

1.86(0.51,6.81)           

No

35

236

1.00

1.00

Any problems with police/court

Yes

6

12

2.95(1.05,8.30)           

0.62(0.19,2.05)           

No

42

248

1.00

1.00

Emotional/physical abused  by parents

Yes

9

17

3.30(1.37,7.92)

1.51(0.47,4.90)           

No

39

243

1.00

1.00

Had Hospitalized baby

Yes

27

68

3.63(1.926,6.84)

3.32(1.39,7.93)*

No

21

192

1.00

1.00

Pregnancy intention

Planned

35

225

1.00

1.00

Unplanned

13

35

2.39(1.15,4.95)

0.75(0.25,2.21)

Forced sexual activity

Suffered

13

22

4.02(1.86,8.69 )

2.00(0.68,5.93)           

Not suffered

35

238

1.00

1.00

Family diagnosed mental illness

Yes

15

29

3.62(1.76,7.46

2.04(0.68,6.14)           

No

33

231

1.00

1.00

Diabetic mellitus

Yes 

12

16

5.08(2.23,11.6)

2.40(0.69,8.35)           

No

36

244

1.00

1.00

Key: *= p-value less than 0.05; COR= crude odds ratio; AOR= adjusted odds ratio; CI= confidence interval.