Literature DB >> 36060844

Prevalence and factors associated with post-partum depression in a rural area of Cameroon: a cross-sectional study.

Therence Nwana Dingana1,2, Stewart Ndutard Ngasa1,3, Neh Chang Ngasa1,4, Leticia Armelle Sani Tchouda1,4, Christabel Abanda1,5, Eric Wah Sanji1, Mbianyor Bill1, Juste Ongeh Niba1,6, Carlson-Sama Babila1,7.   

Abstract

Introduction: post-partum depression is one of the many challenges associated with childbirth. In Cameroon, the focus is more on post-partum obstetric complications resulting in underdiagnosis and misdiagnosis of this condition. The current socio-political crisis plaguing the English-speaking part of Cameroon has increased the stressors that may inherently increase the prevalence. There is no published data describing post-partum depression in a rural setting in Cameroon. We seek to determine the prevalence and factors associated with PPD in women attending the Tubah District hospital, North West Region, Cameroon.
Methods: we conducted a cross-sectional hospital-based study at the Tubah District Hospital. A consecutive convenience sampling technique was used to recruit participants. Our main outcome was post-partum depression which was assessed using the Edinburgh Post-partum Depression Scale.
Results: a total of 207 post-partum women took part in this study with a mean age of 27.54 ± 5.78 years. The prevalence of depression was 31.8%. Gender-based violence (OR: 4.67, P = 0.013), financial stress (OR: 3.57, P = 0.002) and male baby (OR: 2.83, P < 0.001) were independent psychosocial factors associated with PPD. Independent psycho-clinical factors of post-partum depression include family history of mental health illness (OR: 4.34, P = 0.04) and previous history of depression (OR: 4.17, P = 0.02).
Conclusion: the prevalence of post-partum depression in women attending the Tubah District Hospital, Northwest Region, Cameroon is high. The factors associated with PPD are many. Identification of risk factors, early diagnosis and proper management can prevent PPD, disabling morbidity, and suicide in mothers. Copyright: Therence Nwana Dingana et al.

Entities:  

Keywords:  Cameroon; Post-partum depression; Tubah; district; rural

Mesh:

Year:  2022        PMID: 36060844      PMCID: PMC9429990          DOI: 10.11604/pamj.2022.42.138.32347

Source DB:  PubMed          Journal:  Pan Afr Med J


Introduction

Bringing a child into the world is the joy of most women. However, many challenges are associated with childbirth some of which are not given appropriate attention. Amongst these is post-partum depression. Post-partum depression (PPD) is one of the mood disorders following childbirth and can develop into major depressive disorder [1,2]. Other post-partum mood disorders include baby blues and post-partum psychosis. The clinical features of PPD include anxiety, mood swings, low self-esteem, irritability, loss of appetite and lack of interest [1]. Accurate diagnosis of PPD is difficult due to similarities in its presentation with other mood disorders [3]. PPD has a very huge public health burden as shown by its high global prevalence that ranges from 4-63.9% [3]. In Africa previous studies have also indicated this wide prevalence range. Amongst studies conducted across Africa, a prevalence of 50.4% was recorded in the Democratic Republic of Congo [4], 34.7% in South Africa [5], 23.4 in Nigeria [6] and 6.6 % in Uganda [7]. In Cameroon, Ndjoda et al. recorded 23.4% in Yaoundé [8], while Ghogomu et al. in 2016 recorded a very high prevalence of 61.8% in Limbe [9]. There are many associated factors of PPD; Gelaye et al. and Stewart et al. reported intimate partner violence, history of psychiatric illness, low maternal literacy levels, stress, early life abuse, anxiety, previous history of depression as predisposing factors [10,11]. In Cameroon, unemployment, unsatisfactory support of baby, marital issues, serious family problems, unplanned pregnancy, problems with baby feeding and sleep were recorded as associated factors [8,9]. Long-term negative effects can occur if PPD goes untreated. Some examples include major depression, cognitive, behavioural and physical effects which could reflect on the entire maternal family, mother and child bonding as well as child growth and development [11,12]. In sub-Saharan Africa, the focus has been more on post-partum obstetric complications and this has caused many cases of PPD to go undiagnosed and underreported, hence increasing the probability of having long term complications. Despite the magnitude of PPD, very few studies have been carried out in Cameroon. The previous studies in Cameroon were done in urban settings. No previous study has been done to describe PPD in a rural setting, so we seek to determine the prevalence and factors associated with PPD in women attending the Tubah District Hospital (TDH), North West Region, Cameroon.

Methods

Study design, setting and participants: we conducted a cross-sectional hospital-based study from July to September 2021 at the Tubah District Hospital. All participants were women who gave birth at the hospital. The Tubah Health District is one of the 19 health districts in the Northwest Region of Cameroon. There are 13 health centres and one district hospital in the health district. The maternity of TDH carries out about 32 deliveries monthly. The activities of the maternity are run by 4 doctors, 3 midwives and 6 nurses. Sampling and inclusion criteria: a consecutive convenience sampling technique was used to recruit any woman who had given birth at the Tubah District Hospital. Women were recruited into the study 6 weeks after delivery at the post-natal clinic. Eligible participants who provided consent were recruited in the study. Data collection: a structured questionnaire was administered to the participants by the duty midwives. The midwives had received adequate training on how to administer the questionnaire. We pre-tested our questionnaire on a group of 20 women prior to data collection. These women were excluded from the study. All poorly filled questionnaires were not included in the final analysis. Outcome variables: our main outcome was post-partum depression. This was assessed using the Edinburgh Post-partum Depression Scale (EPDS). The EPDS has been used extensively to screen depression in pregnant women and post-partum women. This scale meets both DSM-5 and ICD-10 diagnostic criteria for depression [13]. EPDS is a 10-question structured screening tool that can be administered to both pregnant women and women in the post-partum period. Ideally it should be administered 4-6 weeks after delivery for the screening of post-partum depression. An EPDS score of greater than 11 is highly suggestive of a post-partum depression [13]. Independent variables: the following variables were evaluated for association with PPD: marital status (single/divorced, married); age (years); occupation (employed and unemployed); setting (urban or rural); religion (Muslim, Christian, atheists and others); level of education; the presence of comorbidities; past history of depression and other mental health illnesses; family history of depression/mental health illnesses; alcohol consumption; cigarette smoking; HIV infection status; mode of feeding (Breast milk only, artificial/mixed feeding); sleep difficulties and pregnancy outcome (live baby, still birth). Sample size calculation: the sample size was obtained using the formula for estimation of a proportion since our major outcome was prevalence of post-partum depression. This gave us a minimum of 188 participants. Statistical methods and data analysis: data were entered into an excel spreadsheet and analysed using Stata version 14 statistical software. Results were presented as means and standard deviation (SD) for continuous variables and frequencies and percentages for categorical variables. At bivariate analysis, we used the Cochran-Mantel-Haenszel test to obtain crudes odd ratios (OR) of factors associated with PPD. Multivariate logistic regression was used to identify independent associations of PPD. This was presented as adjusted odds ratios (AOR). A p-value of <0.05 was used as cut off for statistical significance. Ethical considerations: we obtained ethical clearance from the Ethical Review Board of the Regional Hospital of Bamenda prior to commencement of the study. All participants provided verbal or written consent before they were recruited into the study. Assent was obtained for participants below the age of 18 years. Anonymity and confidentiality were respected.

Results

Socio-demographic characteristics of participants: a total number of 207 post-partum women took part in this study with a mean age of 27.54 ± 5.78 years. Majority of the participants were employed (73.76%) and married (72.95%). Almost all participants reported the presence of sufficient social support (88.41%) or partner support (87.44%). Minority of participants reported the presence of gender-based violence (4.83%) and more than a third of them indicated some financial stress (36.10%) (Table 1).
Table 1

socio-demographic characteristics of participants

VariablesMean±SDPercentage (%)
Age(years) 27.54±5.78
N
Employment Status
Unemployed5326.24
Employed14973.76
Education
Primary8842.51
Secondary6430.92
Tertiary5526.57
Marital Status
Single/ Divorced5627.05
Married15172.95
Gender based violence
Present104.83
Absent19795.17
Presence of social support
Present2411.59
Absent18388.41
Supportive partner
Present2612.56
Absent18187.44
Sex of Baby
Male11656.59
Female8943.41
Financial stress
Yes7436.1
No13163.9
socio-demographic characteristics of participants Clinical characteristics of participants: the mean gravidity of all participants was 2.84 ± 1.80 pregnancies. The mean parity of all participants was 2.63 ± 1.53 deliveries. The mean number of ANC visits attended was 5.26±1.53 and the mean gestational age at the time of delivery was 39.25 ± 1.69. Majority of participants had a vaginal delivery (74.88%), had no post-partum complications (81.46%), were HIV negative (97.10%), had no family history of mental health conditions (92.17%). Almost all participants gave birth to live babies (94.20%) and chose exclusive breast feeding as the main mode of feeding (80.68%) (Table 2).
Table 2

clinical characteristics of participants

VariablesMean±SDPercentage(%)
Number of pregnancies2.84±1.80
Number of deliveries2.63±1.53
Number of ANC visits5.26±1.53
Gestational age at time of delivery39.25±1.69
EPDS score10.66±5.05
Mode of delivery N
Caesarean section5225.12
Vaginal delivery15574.88
History of depression
Yes199.18
No18890.82
History of other mental health conditions
Yes31.48
No20098.52
Alcohol
Yes10249.28
No10550.72
Smoking
Yes62.9
No20197.1
Post-partum complications
Present3818.54
Absent16781.46
HIV infection
Yes62.9
No20197.1
Pregnancy outcome
Still birth125.8
Live baby19594.2
Sleep difficulties
Yes2914.01
No17885.99
Family history of mental illness
Yes167.73
No19192.27
Mode of feeding
Breast feeding only16780.68
Artificial feeding/Mixed4019.32
clinical characteristics of participants Frequency of self-harm thoughts in participants: a total number of 123 participants reported never having any self-harm thoughts while 24 participants reported self-harm thoughts are sometimes common (Figure 1).
Figure 1

frequency of self-harm thoughts amongst study participants, recruited from the maternity unit of the Tubah District Hospital (Cameroon), from July to September 2021 (N= 207)

frequency of self-harm thoughts amongst study participants, recruited from the maternity unit of the Tubah District Hospital (Cameroon), from July to September 2021 (N= 207) Prevalence of depression amongst participants: the prevalence of probable depression in participants was 31.8% (Figure 2).
Figure 2

EPDS scoring categories amongst study participants, recruited from the maternity unit of the Tubah District Hospital (Cameroon), from July to September 2021 (N= 207): sample size calculation

EPDS scoring categories amongst study participants, recruited from the maternity unit of the Tubah District Hospital (Cameroon), from July to September 2021 (N= 207): sample size calculation Socio-demographic factors associated with depression: at bivariate analysis, the presence of gender-based violence (OR: 5.45, P = 0.001), financial stress (OR: 3.88, P < 0.001), male baby (OR: 3.09, P < 0.001) were associated with post-partum depression. Presence of a supportive partner had a protective effect against post-partum depression (OR: 0.34, P = 0.01) (Table 2). After adjusting, Gender-based violence (OR: 4.67, P = 0.013), financial stress (OR: 3.57, P = 0.002) and male baby (OR: 2.83, P < 0.001). were independently associated with PPD (Table 2). Psycho-clinical factors associated with depression: at bivariate analysis family history of mental illnesses (OR: 3.01, P = 0.02), alcohol consumption (OR: 1.79, P = 0.04), smoking (OR: 4.48, P = 0.04) and previous history of depression (OR: 4.25, P = 0.002) were associated with PPD. Also, the analysis revealed that the absence of sleep difficulties (OR: 0.34, P = 0.001), and women who were already latched on (OR: 0.21, P = 0.02) were less likely to develop post-partum depression. Independent psycho-clinical factors of post-partum depression include family history of mental health illness (OR: 4.34, P = 0.04) and previous history of depression (OR: 4.17, P = 0.02) (Table 3).
Table 3

psycho-clinical characteristic associated with depression

VariablesCrude ORsP-valueAdjusted ORP-value
Days of Post-partum< = 70.950.8**
> 71
No of ANC visits< = 30.830.75
>31
Presence of post-partum complicationsYes1.20.73**
No1
Gravidity<= 11.120.86**
> 11
Parity<= 10.970.95**
> 11
Sleep difficultiesNo0.340.0010.20.05
Yes1
Family History of Mental diseaseYes3.020.024.340.04
No11
Alcohol consumptionYes1.790.041.010.9
No1
SmokingYes4.480.041.90.1
No1
History of mental health conditionYes1.920.2**
No1
History of depressionYes4.250.0024.170.02
No1
Birth outcomeLife baby2.440.25**
Still birth1
Milk flowingYes0.210.020.810.8
No1
psycho-clinical characteristic associated with depression

Discussion

Depression is a common and debilitating complication of the post-partum period especially in Low and Middle-Income Countries (LMICS) where the burden of unmet psychological disturbances is underestimated. Abdollahi and Zarghami noted that women who experienced an episode of PPD suffered adverse outcomes years later; they were more likely to be depressed, suffer from chronic diseases, and scored higher on the general health questionnaire [14]. Similarly, the outcome of PPD in children has been well documented; they experience higher rates of behavioural problems, delayed cognitive and language development, poor academic grades, and depression later in life [15]. Thus, given the adverse long-term outcomes of PPD on both mother and child, it raises a major concern and calls for therapeutic action. The aim of this study was to determine the prevalence and factors associated with PPD among women attending post-natal clinic at the Tubah district hospital, North West Cameroon. The prevalence of PPD in this study was 31.8%. This falls within the range of 4.0% - 63.9% reported by Arifin SRM et al. [16] in post-partum mothers globally especially in Sub-Saharan Africa and the 6.9% to 50.3% obtained by Atuhaire et al. [17] among mothers in Africa only. This rate is comparable 31.7% obtained by Hung et al. in South Africa [18] and 33% by Chibanda et al. in Zimbabwe [19]. However, this prevalence is higher than that reported by Nakku et al. in Uganda (6.1%) [7], Anokye et al. in Ghana (7%) [20], Adewuya et al. in Nigeria (13.1%) [6], and Toru et al. in Ethiopia (22.9%) [21]. The different tools used (SRQ-25, PH-9, ZSDS, and PHQ-9) could explain this variation. These tools are less specific and their use could extend to 12 months post-partum unlike the recommended 6 to 12 weeks for the EPDS [15]. On the contrary, the prevalence of PPD in our study was lower than that reported by Ghogomu et al. in Limbe Cameroon (61.8%) [9]. This disparity could be explained by the fact that his study was community-based and assessed mothers up to 12 months post-partum there by exposing the mothers to other risk factors of depression other than childbirth. Ideally, mothers should be screened for PPD one month post-partum or at 6 weeks [22]. It is worthy of note that this study was done in the North West region of Cameroon which has suffered socio-political instability for over 5 years now. This has hindered access to healthcare by many and therefore the prevalence obtained in our study might be an underestimate of the actual situation. Hence, there is a need for more community-based studies in this era of socio-political instability to have a better appraisal of this major post-partum complication. In addition to socio-political instability, the ongoing COVID-19 pandemic might have also contributed to our higher rates of PPD, an observation shared elsewhere by Liang et al. [23]. Financial stress was associated with PPD in our study. This is similar to findings reported by Djoda et al. [8] and Ghogomu et al. [9]. Participants who experienced gender-based violence were more likely to be depressed. This is congruent with findings reported in the literature [8-11]. The occurrence of PPD was high in those with a family history of mental illness. This is supported by findings from Stewart et al. [11] and Neslihan et al. [24]. Similarly, a history of maternal depression was associated with PPD in our study as was the case in the review by Neslihan et al. [24]. Furthermore, the male gender was associated with PPD in our study. This is contrary to what Amr et al. had in Saudi Arabia [25] as they found the birth of a female baby to be associated with PPD. This could be explained by the cultural differences in the study areas; Saudi Arabia is a predominantly muslim community where the birth of a male child is celebrated more than a female child. More so it is a patrilineal society where the issue of an heir is considered of great importance. It is important to consider these results within the context of the study´s limitations: The fact that it was a single centre hospital-based study may have influenced the highly selected group of participants. It may therefore be difficult to generalise the findings to the entire Cameroonian population. This could be improved by carrying out community-based studies and multicentre hospital-based studies. Also, the self-reported nature of the questionnaire and some elements of the EPDS scale leave room for recall bias and socially desirable responses. This score is a screening tool that validates the need for a psychiatrist to confirm the diagnosis which was not done in our study. More so, the list of factors potentially associated with PPD as evaluated in this study is by no means exhaustive. Despite these limitations, to the best of our literature search, this is the first study that provides evidence-based data on the prevalence and factors associated with PPD in a rural area in Cameroon. Whilst we envisage the scalability of this project, the observed high rates of PPD herein highlight the necessity for tailored pre- and post-partum counselling and monitoring from qualified personnel. However, the responsibility of ensuring a smooth post-partum transition does not entirely rest on healthcare professionals as evidence suggests good family/partner support is invaluable. This therefore calls for collective efforts if we are to curb the deleterious long-term effects of post-natal depression on the mother which will intend enhance proper growth and development of the newborn.

Conclusion

The prevalence of PPD was found to be 31.8% in a rural primary care centre population of childbearing women in Cameroon. The psycho-clinical factors associated with PPD were a family history of mental illness and a history of depression, while the social factors associated with PPD were gender-based violence, financial stress and having a male baby. These findings will be fundamental in designing antenatal and postnatal screening tools that will be used by health care providers to screen for these psycho-clinical and social factors to prevent PPD, disabling morbidity, and suicide in mothers.

What is known about this topic

The prevalence of PPD in urban Cameroon ranges from 23.4 to 61.8% in 2 previous studies; Psychosocial factors including unemployment, unsatisfactory support of baby, marital issues amongst others are associated with PPD.

What this study adds

To the best of our knowledge this is the first study to determine the prevalence of PPD in a rural setting in Cameroon (31.8%) thus providing relevant evidence-based data which could help inform policy.
  20 in total

Review 1.  Epidemiology of maternal depression, risk factors, and child outcomes in low-income and middle-income countries.

Authors:  Bizu Gelaye; Marta B Rondon; Ricardo Araya; Michelle A Williams
Journal:  Lancet Psychiatry       Date:  2016-09-17       Impact factor: 27.083

Review 2.  Postpartum Depression Prevalence and Risk Factors in Turkey: A Systematic Review and Meta-Analysis.

Authors:  Neslihan Keser Özcan; Nur Elçin Boyacıoğlu; Hüsniye Dinç
Journal:  Arch Psychiatr Nurs       Date:  2017-04-12       Impact factor: 2.218

3.  Identification of postpartum depression.

Authors:  Dorothy K Y Sit; Katherine L Wisner
Journal:  Clin Obstet Gynecol       Date:  2009-09       Impact factor: 2.190

4.  Postnatal depression by HIV status among women in Zimbabwe.

Authors:  Dixon Chibanda; Walter Mangezi; Mufuta Tshimanga; Godfrey Woelk; Simbarashe Rusakaniko; Lynda Stranix-Chibanda; Stanley Midzi; Avinash K Shetty
Journal:  J Womens Health (Larchmt)       Date:  2010-09-17       Impact factor: 2.681

5.  Validation of the Edinburgh Postnatal Depression Scale against both DSM-5 and ICD-10 diagnostic criteria for depression.

Authors:  Johanne Smith-Nielsen; Stephen Matthey; Theis Lange; Mette Skovgaard Væver
Journal:  BMC Psychiatry       Date:  2018-12-20       Impact factor: 3.630

6.  Prevalence and factors associated with postpartum depression during the COVID-19 pandemic among women in Guangzhou, China: a cross-sectional study.

Authors:  Peiqin Liang; Yiding Wang; Si Shi; Yan Liu; Ribo Xiong
Journal:  BMC Psychiatry       Date:  2020-11-25       Impact factor: 3.630

7.  Association of Persistent and Severe Postnatal Depression With Child Outcomes.

Authors:  Elena Netsi; Rebecca M Pearson; Lynne Murray; Peter Cooper; Michelle G Craske; Alan Stein
Journal:  JAMA Psychiatry       Date:  2018-03-01       Impact factor: 21.596

8.  Prevalence of postpartum depression and interventions utilized for its management.

Authors:  Reindolf Anokye; Enoch Acheampong; Amy Budu-Ainooson; Edmund Isaac Obeng; Adjei Gyimah Akwasi
Journal:  Ann Gen Psychiatry       Date:  2018-05-09       Impact factor: 3.455

9.  Postnatal depression is associated with detrimental life-long and multi-generational impacts on relationship quality.

Authors:  Sarah Myers; Sarah E Johns
Journal:  PeerJ       Date:  2018-02-16       Impact factor: 2.984

Review 10.  Review of the prevalence of postnatal depression across cultures.

Authors:  Siti Roshaidai Mohd Arifin; Helen Cheyne; Margaret Maxwell
Journal:  AIMS Public Health       Date:  2018-07-20
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.