Postpartum Depression and Role of Social Demographic and Obstetric Factors
Objective: To determine the prevalence and psycho-socio-demographic predictors of postpartum depression. Design: Hospital based descriptive observational prospective study. Setting: Tertiary care hospital. Population: Day 2 postpartum women. Method: 800 women were selected randomly and divided into two groups. Group A consisted of women delivered by caesarean section and group B of women delivered vaginally. These women were screened with Edinburgh postnatal depression scale and were evaluated. Result: Out of total, 22.5 % women in group A and 21.5% in group B were found to be depressed (overall incidence being 22%). In group A the main reason for depression was poor health or death of the child( 58.14%). They were of age group 20-24 years (57.14%), para 2 (57.14%) and belonged to upper-lower socio-economic status (53.57%). In group B the reason was sex of the child (54.44%). They were of age group 25-29 years (75%), para 3 (75%) and belonged to upperlower socio-economic status (75%). The history of depression in the family was not known to the women in both the groups. Conclusion: Rate of postpartum depression is high. The causes can be multiple including ill health of the baby and mother, sex of the child, family problems in the form of poor marital relationship, low socioeconomic condition etc. Women should be screened and counseled during the antenatal and postnatal period. Family support should be encouraged.
Introduction
It is a clinical condition associated with childbirth. It is defined as depression developing in first 4 weeks after childbirth and may last for many months to years. The prevalence is 5% -25% [1]. It can present with sadness, hopelessness, low self-esteem, guilt, exhaustion, social withdrawal, easy frustration, sleeping and eating disorders, feeling inadequate in taking care of the baby and decreased sex drive [2]. The severity may vary from postpartum blues to psychosis (prevalence being 1-2 per 1000 childbirths). Various risk factors have been proposed in its development but no one is independently associated. The various risk factors that have been identified are birth related psychological and physiological trauma, changes in the hormone levels during pregnancy, previous history of depression, childcare stress, poor marital relationship, life stress, low social support, single marital status, low socioeconomic status, unplanned and unwanted pregnancy [3]. Edinburgh postnatal depression scale, a standardized scale can be used to identify depressed women [4]. Early identification and early psychological intervention after childbirth helps improves the long term prognosis of these women [5]. Women should be screened to determine the risk of developing postpartum depression. Proper exercise and nutrition helps improving the mood [6]. First prenatal visit should include screening for depression and psychological support should be provided.
Material and Methods
populations were divided into two groups based upon the mode of delivery. Thus 400 women who underwent a caesarean section were included in group A and 400 of those who underwent a normal vaginal delivery were included in group B. These women were screened with a pretested predesigned structured questionnaire on 2nd day of post-delivery and were evaluated according to the above mentioned scale.
Statistical Analysis
Statistical analysis was performed with the SPSS, Trial version 20 for Windows statistical software package (SPSS inc., Chicago, il, USA). The Qualitative data was presented as percentages, 95% CI, to assess any significant association Chi Square test and Odd’s ratio was used. Quantitative data was expressed as mean ≥SD. Significance level was set at P < 0.05.
Results
Table 1 presents the participant’s sociodemographic and obstetrical characteristics. All participants were married. The most represented education level was professional school.
| Age | Total | LSCS | NVD | |||||||||
| No | No | % | No | % | ||||||||
| 15-19 | 14 | 6 | 42.86 | 8 | 57.14 | |||||||
| 20-24 | 436 | 202 | 46.33 | 234 | 53.67 | |||||||
| 25-29 | 288 | 164 | 56.94 | 124 | 43.06 | |||||||
| 30-34 | 46 | 20 | 43.48 | 26 | 56.52 | |||||||
| 35-39 | 16 | 8 | 50 | 8 | 50 | |||||||
| >=40 | 0 | 0 | 0 | 0 | 0 | |||||||
| Parity | ||||||||||||
| 1 | 368 | 172 | 46.74 | 196 | 53.26 | |||||||
| 2 | 306 | 168 | 54.9 | 138 | 45.1 | |||||||
| 3 | 92 | 46 | 50 | 46 | 50 | |||||||
| 4 | 26 | 10 | 38.46 | 16 | 61.54 | |||||||
| 5 | 4 | 0 | 0 | 4 | 100 | |||||||
| 6 | 4 | 4 | 100 | 0 | 0 | |||||||
| SocioEconomic Status | ||||||||||||
| Upper | 0 | 0 | 0 | 0 | 0 | |||||||
| Upper middle | 44 | 36 | 81.82 | 8 | 18.18 | |||||||
| Lower middle | 58 | 26 | 44.83 | 32 | 55.17 | |||||||
| Upper lower | 56 | 14 | 25 | 42 | 75 | |||||||
| lower | 18 | 14 | 77.78 | 4 | 22.22 | |||||||
| 176 | 90 | 51.14 | 86 | 48.86 |
Table 1: Sociodemographic and obstetrical data.
The mean age of the study population was 23.99±3.46 (Median 24 years). The mean age of LSCS cases were 24.07± 3.469 (median 24) and NVD cases were 23.91±3.458 (median 23 years).
group B the main reason was poor health or death of the child (58.14%) while in group A it was sex of the child (54.44%) (Table 5). The history of depression in the family was not known to the women in both the groups. Most of the women in group A who felt low due to ill health or death of the baby were of age group 20-24 years (57.14%), para 2 (57.14%) and belonged to upper-lower socio-economic status( 53.57% ) according to Kuppuswamy scale. Those in group B who were depressed due to the sex of the child were of age group 25-29 years(75%), para 3 (75%) and belonged to upper- lower socio-economic status ( 75%). The prevalence of postpartum depression was 22 %. 21.5 % of the cases in NVD and 22.5 % in LSCS groups scored. There was no significant relationships between mode of delivery and postpartum depression (p>0.05) and a 1.06 risk for depression was seen in CS group (OR1.06) Table 2. Mode of delivery was not independently associated with postpartum depression.
Out of total, 22.5 % women in group A and 21.5% in group B were found to be depressed according to Edinburgh postnatal depression scale (the overall incidence being 22%) (Table 2). In the present study maximum women belonged to the age group 20-24 Years(50.5% in group A and 58.5% in group B) and primipara were (43% and 49% in group A and group B respectively), 38.5% in group A belonged to lower middle socio-economic status and 43.5% in group B to upper lower strata (Tables 2-4). The various reasons that were stated by the women for low mood were sex of the child, ill health or death of the baby, ill health of the mother and family problems in the form of poor marital relationship, low socio-economic condition and poor family support. In Mode of delivery LSCS(400) NVD(N=400) Depressed women n % n % Present 90 22.5 86 21.5 Absent 310 377.5 314 379
| Age | LSCS | depression | % | NVD | depression | % |
Table 2: Distribution of the cases according to depression status among the group.
Age LSCS depression % NVD depression % 15-19 6 6 100 8 0 0 20-24 202 36 17.82 234 44 18.8 25-29 164 46 28.05 124 36 29 $$ \begin{array}{l} 3 0 - 3 4 2 0 2 1 0 2 6 6 2 3. 1 \\ 3 5 - 3 9 8 0 0 8 0 0 0 \\ > = 4 0 0 0 0 0 0 0 0 0 \\ \end{array} $$
| Parity | LSCS | depression | % | NVD | depression | % |
Table 3: Association of age groups with depression status in both the groups.
Parity LSCS depression % NVD depression % 1 172 26 15.12 196 31 15.8 2 168 26 15.48 138 21 15.2 3 46 30 65.22 46 28 60.9 4 10 4 40 16 6 37.5 5 0 0 0 4 0 0 6 4 4 100 0 0 0
- Chi-squareTest: 73.802 with 4 df; P < 0.001 S 52.746 with 4 df; P = 0.000
Table 4: Association of parity with the mood of delivered women.
| Group A (N=90) | Group B(N=87) | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cause of depression | Chi-square | ||||||||||||||||
| Depression | % | depression | % | ||||||||||||||
| Sex of the baby | 49 | 54.44 | 30 | 34.88 | 6.348 with 1 df; P = 0.012S | ||||||||||||
| illness or death of baby | 31 | 34.44 | 50 | 58.14 | 8.545 with 1 df; P = 0.003S | ||||||||||||
| Family problems | 4 | 4.44 | 4 | 4.65 | 0.098 with 1 df; P = 0.754NS | ||||||||||||
| Ill health of mother | 6 | 6.67 | 2 | 2.33 | 1.074 with 1 df; P = 0.300NS | ||||||||||||
| Total | 90 | 100 | 86 | 100 |
Table 5: Causes of mood changes of delivered women.
Proportion of the LSCS cases with depression were more in 15 to 19 years of age (100%) followed by 25 to 29 years of age (28.05 %) while no significant difference was observed according to NVD cases with age (P=0.155NS) (Table 3).
Proportion of the LSCS cases with depression were more in parity 6 (100%) followed by parity three (65.22%) while Proportion of the NVD cases with depression were more in parity 3 (60.87%) followed by parity four (37.5%). Depression significantly increases with parity (Table 4).
| Socio-economic status | LSCS | Depression | % | NVD | depression | % | ||||||||||||||
| Upper | 16 | 0 | 0 | 8 | 0 | 0 | ||||||||||||||
| Upper middle | 84 | 36 | 42.86 | 62 | 8 | 12.9 | ||||||||||||||
| Lower middle | 154 | 26 | 16.88 | 148 | 32 | 21.62 | ||||||||||||||
| Upper lower | 108 | 14 | 12.96 | 174 | 42 | 24.14 | ||||||||||||||
| lower | 38 | 14 | 36.84 | 8 | 4 | 50 |
Table 6: Association of socio-economic status with depression status in both the groups.
Chi-square Test: 37.510 with 4 degrees of freedom; P <0.001 S 9.475 with 4 degrees of freedom; P=0.05S Table 6: Association of socio-economic status with depression status in both the groups.
Discussion
Postpartum depression is increasing in the present day society. Many hypotheses have been given but still no clear etiology has been described. In this entity both prevention and treatment plays a role. Where early identification and counseling of these women play a very important role, treatment is needed in severe cases not responding to counseling and those with psychosis. Family support and preparing the mother for arrival of a new member in the family can help. Positive attitude should be reinforced. Stuart, et al. and Takahashi, et al. [7] also stressed the need for support from family and community.
Adollahi, et al. found high rate of depression in women marrying at a younger age. Katon, et al. [12] also found a similar association. This result is also seen in the present study where the rate of depression is high in young women (42.86%) (Table 2) marrying early and particularly undergoing caesarean section.
Kirkan, et al. in 2014 found that women whose babies were not well and were not breastfeeding had high rate of depression which is also shown in the present study (57.14% in those undergoing caesarean section and 67.86% in those with normal vaginal delivery) (Table 6).
Conclusion
There is a growing concern of postpartum depression as a significant public health problem. It affects the future life of the mother, child and also the family. Women should be screened and proper counseling should be provided to them and the family members and family support should be encouraged. It is a preventable and treatable entity so complete counseling of women with the husband starting from the antenatal period should be encouraged. Conflict of Interest: There is no conflict of interest among authors.
References
-
Paulson JF (2010) Focusing on depression in expectant and new fathers: prenatal and postpartum depression not limited to mothers. Psychiatry Times 27(2).
-
(2005) The Boston Women's Health Book Collective: Our Bodies Ourselves, New York: Touchstone Book, pp: 489-491.
-
Beck CT (1996) A meta-analysis of the relationship between postpartum depression and infant temperament. Nurs Res 45(4): 225-230.
-
Dennis CL, Dowswell T (2013) Psychosocial and psychological interventions for preventing postpartum depression. Cochrane Database Syst Rev 28(2): CD001134.
-
Cox JL, Holden JM, Sagovsky R (1987) Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry 150(6): 782-786.
-
(2011) Providers miss opportunities to prevent depression in and discuss birth control with women with unplanned pregnancies. Research Activities (Agency for Healthcare Research and Quality) 372: 15.
-
Takahashi Y, Tamakoshi K (2014) Factors associated with early postpartum maternity blues and depression tendency among Japanese mothers with full term healthy infants. Nagoya J Med Sci 76(1-2): 129-138.
-
Abdollahi F, Rohani S, Sazlina GS, Zarghami M, Azhar MZ, et al. (2014) Bio-psycho-socio-demographic and Obstetric predictors of postpartum depression in pregnancy: A prospective cohort study Iran J Psychiatry Behav Sci 8(2): 11-21.
-
Alasoom LI, Koura MR (2014) Predictors of postpartum depression in the Eastern Province Capital of Saudi Arabia: J Family Med Prim Care 3(2): 146-150.
-
Verreault N, Da Costa D, Marchand A, Ireland K, Dritsa M, et al. (2014) Rates and risk factors associated with depressive symptoms during pregnancy and with postpartum onset. J Psychosom Obstet Gynaecol 35(3): 84-91.
-
Kirkan TS, Aydin N, Yazici E, Aslan PA, Acemoglu H, et al. (2015) The depression in women in pregnancy and postpartum period: A follow up study. Int J Soc Psychiatry 61(4): 343-349.
-
Katon W, Russo J, Gavin A (2014) Predictors of postpartum depression. J Womens Health(Larchmt) 23(9): 753-759.
- The Need for Partner Education and Mental Health Support During Pregnancy and the Postpartum Period
- Application of Combined PGT-A and PGT-M for Reproductive Management in a Couple Carrying GCDH Mutations with Prior Affected Offspring: A Rare Case Report
- The Effect of Using a New Technique Karman Injector (Elif Technique) on the Healing Process of Wound Infection-Case Series
- GSM: Counseling Points to Discuss with Women Fearful of Vaginal Estrogen
- Antenatal Diagnosis of Meckel Syndrome: A Case Report
- Discrimination and Workplace Harassment (Mobbing) against Women in the Post-Pandemic Era