Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-22T14:22:51.444Z Has data issue: false hasContentIssue false

Magnitude and contributory factors of postnatal depression: a community-based cohort study from a rural subdistrict of Bangladesh

Published online by Cambridge University Press:  24 September 2008

K. Gausia*
Affiliation:
International Centre for Diarrhoeal Disease Research, Bangladesh(ICDDR,B) Edith Cowan University, Perth, WA, Australia
C. Fisher
Affiliation:
Edith Cowan University, Perth, WA, Australia
M. Ali
Affiliation:
Centre for International Health, Curtin University of Technology, Perth, WA, Australia
J. Oosthuizen
Affiliation:
Edith Cowan University, Perth, WA, Australia
*
*Address for correspondence: Dr K. Gausia, Public Health, School of Exercise, Biomedical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia. (Email: [email protected])

Abstract

Background

Recent evidence suggests that the prevalence of postnatal depression (PND) is highest in low-income developing countries. This study aimed to estimate the prevalence of PND and its associated risk factors among Bangladeshi women.

Method

The study was conducted in the Matlab subdistrict of rural Bangladesh. A cohort of 346 women was followed up from late pregnancy to post-partum. Sociodemographic and other related information on risk factors was collected on structured questionnaires by trained interviewers at 34–35 weeks of pregnancy at the woman's home. A validated local language (Bangla) version of the Edinburgh Postnatal Depression Scale (EPDS-B) was used to measure depression status at 34–35 weeks of pregnancy and at 6–8 weeks after delivery.

Results

The prevalence of PND was 22% [95% confidence interval (CI) 17.7–26.7%] at 6–8 weeks post-partum. After adjustment in a multivariate logistic model, PND could be predicted by history of past mental illness [odds ratio (OR) 5.6, 95% CI 1.1–27.3], depression in current pregnancy (OR 6.0, 95% CI 3.0–12.0), perinatal death (OR 14.1, 95% CI 2.5–78.0), poor relationship with mother-in-law (OR 3.6, 95% CI 1.1–11.8) and either the husband or the wife leaving home after a domestic quarrel (OR 4.0, 95% CI 1.6–10.2).

Conclusions

The high prevalence of PND in the study was similar to other countries in the South Asian region. The study findings highlight the need for programme managers and policy makers to allocate resources and develop strategies to address PND in Bangladesh.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abiodun, OA (2006). Postnatal depression in primary care populations in Nigeria. General Hospital Psychiatry 28, 133136.Google Scholar
Adewuya, AO, Fatoye, FO, Ola, BA, Ijaodola, OR, Ibigbami, SM (2005). Sociodemographic and obstetric risk factors for postpartum depressive symptoms in Nigerian women. Journal of Psychiatric Practice 11, 353358.CrossRefGoogle ScholarPubMed
Adewuya, AO, Ola, BA, Aloba, OO, Dada, AO, Fasoto, OO (2007). Prevalence and correlates of depression in late pregnancy among Nigerian women. Depression and Anxiety 24, 1521.CrossRefGoogle ScholarPubMed
Aziz, KMA (1994). Matlab: physical setting and cultural background. In Matlab: Women, Children and Health (ed. Vincent, F.), pp. 1327. The International Centre for Diarrhoeal Diseases Research, Bangladesh: Dhaka.Google Scholar
Bangladesh Bureau of Statistics (2005). Statistical Pocketbook of Bangladesh. Bangladesh Bureau of Statistics: Dhaka, Bangladesh.Google Scholar
Beck, CT (2001). Predictors of postpartum depression: an update. Nursing Research 50, 275285.CrossRefGoogle ScholarPubMed
Boyd, RC, Le, HN, Somberg, R (2005). Review of screening instruments for postpartum depression. Archives of Women's Mental Health 8, 141153.CrossRefGoogle ScholarPubMed
Buist, A (2005). PND: postnatal – or perinatal? – depression. Women's Mental Health 7, 1314.Google Scholar
Buist, A (2006). Perinatal depression – assessment and management. Australian Family Physician 35, 670673.Google Scholar
Chan, SW, Levy, V, Chung, TK, Lee, D (2002). A qualitative study of the experiences of a group of Hong Kong Chinese women diagnosed with postnatal depression. Journal of Advanced Nursing 39, 571579.CrossRefGoogle ScholarPubMed
Chandran, M, Tharyan, P, Muliyil, J, Abraham, S (2002). Post-partum depression in a cohort of women from a rural area of Tamil Nadu, India. Incidence and risk factors. British Journal of Psychiatry 181, 499504.CrossRefGoogle Scholar
Chee, CY, Lee, DT, Chong, YS, Tan, LK, Ng, TP, Fones, CS (2005). Confinement and other psychosocial factors in perinatal depression: a transcultural study in Singapore. Journal of Affective Disorders 89, 157166.CrossRefGoogle ScholarPubMed
Cooper, PJ, Tomlinson, M, Swartz, L, Woolgar, M, Murray, L, Molteno, C (1999). Post-partum depression and the mother–infant relationship in a South African peri-urban settlement. British Journal of Psychiatry 175, 554558.Google Scholar
Cox, JL, Holden, JM, Sagovsky, R (1987). Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. British Journal of Psychiatry 150, 782786.Google Scholar
de Tychey, C, Spitz, E, Briancon, S, Lighezzolo, J, Girvan, F, Rosati, A, Thockler, A, Vincent, S (2005). Pre- and postnatal depression and coping: a comparative approach. Journal of Affective Disorders 85, 323326.CrossRefGoogle ScholarPubMed
Dennis, CL (2005). Psychosocial and psychological interventions for prevention of postnatal depression: systematic review. British Medical Journal 331, 15.CrossRefGoogle ScholarPubMed
Gausia, K, Fisher, C, Algin, S, Oosthuizen, J (2007 a). Validation of the Bangla version of the Edinburgh Postnatal Depression Scale for a Bangladeshi sample. Journal of Reproductive and Infant Psychology 25, 308315.Google Scholar
Gausia, K, Hamadani, JD, Islam, MM, Ali, M, Algin, S, Yunus, M, Fisher, C, Oosthuizen, J (2007 b). Bangla translation, adaptation and piloting of the Edinburgh Postnatal Depression Scale. Bangladesh Medical Research Council Bulletin 33, 8186.Google Scholar
Gavin, NI, Gaynes, BN, Lohr, KN, Meltzer-Brody, S, Gartlehner, G, Swinson, T (2005). Perinatal depression: a systematic review of prevalence and incidence. Obstetrics and Gynecology 106, 10711083.Google Scholar
Halbreich, U, Karkun, S (2006). Cross-cultural and social diversity of prevalence of postpartum depression and depressive symptoms. Journal of Affective Disorders 91, 97111.CrossRefGoogle ScholarPubMed
Husain, N, Bevc, I, Husain, M, Chaudhry, IB, Atif, N, Rahman, A (2006). Prevalence and social correlates of postnatal depression in a low income country. Archives of Women's Mental Health 9, 197202.CrossRefGoogle Scholar
ICDDR,B (2007). Health and Demographic Surveillance System – Matlab: Volume 38. 2005 Socio-Economic Census. The International Centre for Diarrhoeal Diseases Research, Bangladesh: Dhaka.Google Scholar
Inandi, T, Bugdayci, R, Dundar, P, Sumer, H, Sasmaz, T (2005). Risk factors for depression in the first postnatal year: a Turkish study. Social Psychiatry and Psychiatric Epidemiology 40, 725730.CrossRefGoogle ScholarPubMed
Larsson, C, Sydsjo, G, Josefsson, A (2004). Health, sociodemographic data, and pregnancy outcome in women with antepartum depressive symptoms. Obstetrics and Gynecology 104, 459466.Google Scholar
Lee, DT, Yip, AS, Leung, TY, Chung, TK (2004). Ethnoepidemiology of postnatal depression. Prospective multivariate study of sociocultural risk factors in a Chinese population in Hong Kong. British Journal of Psychiatry 184, 3440.CrossRefGoogle Scholar
Limlomwongse, N, Liabsuetrakul, T (2006). Cohort study of depressive moods in Thai women during late pregnancy and 6–8 weeks of postpartum using the Edinburgh Postnatal Depression Scale (EPDS). Archives of Women's Mental Health 9, 131138.CrossRefGoogle ScholarPubMed
O'Hara, MW, Swain, AM (1996). Rates and risk of postpartum depression – a meta-analysis. International Review of Psychiatry 8, 3754.Google Scholar
Patel, V, DeSouza, N, Rodrigues, M (2003). Postnatal depression and infant growth and development in low income countries: a cohort study from Goa, India. Archives of Disease in Childhood 88, 3437.Google Scholar
Patel, V, Rodrigues, M, DeSouza, N (2002). Gender, poverty, and postnatal depression: a study of mothers in Goa, India. American Journal of Psychiatry 159, 4347.CrossRefGoogle ScholarPubMed
Rahman, A, Iqbal, Z, Bunn, J, Lovel, H, Harrington, R (2004). Impact of maternal depression on infant nutritional status and illness: a cohort study. Archives of General Psychiatry 61, 946952.CrossRefGoogle ScholarPubMed
Rahman, A, Iqbal, Z, Harrington, R (2003). Life events, social support and depression in childbirth: perspectives from a rural community in the developing world. Psychological Medicine 33, 11611167.Google Scholar
Spanier, GB (1976). Measuring dyadic adjustment: new scale for assessing the quality of marriage and similar dyads. Journal of Marriage and the Family 38, 1528.CrossRefGoogle Scholar
Stewart, DR (2006). Perinatal depression. General Hospital Psychiatry 28, 12.Google Scholar
Van Ginneken, J, Bairagi, R, de Francisco, A, Sarder, AM, Vaughan, P (1998). Health and Demographic Surveillance in Matlab: Past, Present and Future. The International Centre for Diarrhoeal Diseases Research, Bangladesh: Dhaka.Google Scholar
Wan Mahmud, WMR, Shariff, S, Yaacob, MJ (2002). Postpartum depression: a survey of the incidence and associated risk factors among Malay women in Beris Kubor Besar, Bachok, Kelantan. Malaysian Journal of Medical Sciences 9, 4148.Google ScholarPubMed
WHO (2005). Mental Health Atlas 2005. Mental Health: Evidence and Research. Department of Mental Health and Substance Abuse, World Health Organization: Geneva.Google Scholar