A systematic review and meta-regression of the prevalence and incidence of perinatal depression

Woody, Charlotte; Ferrari, Alize J.; Siskind, Dan; Whiteford, Harvey; Harris, Meredith

doi:10.1016/j.jad.2017.05.003

Cited by 998 publications

(789 citation statements)

References 48 publications

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“…The prevalence of moderate-severe depression found in our study is in line with estimates from non-migrant women in other LMIC. For example, Woody et al (2017) found a pooled antenatal prevalence of 19.2% and postnatal prevalence of 18.7% in low-income settings [3]. Our estimates are also in line with findings from a meta-analysis of migrant women from LMIC who resettled in HIC, which reported pooled estimates of 17% for major depressive disorder and 31% for any depressive disorder [13].…”

Section: Discussionsupporting

confidence: 87%

“…Evidence consistently suggests that prevalence is higher in low-and middle-income countries (LMIC), with estimates ranging from 10. [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25].3% in LMIC compared with 7.4-19.2% in high-income countries (HIC) [1,3,4]. Untreated perinatal depression has been associated with a number of significant adverse outcomes including negative health behaviours in pregnancy [1], subsequent chronic and recurrent depression [1,2], impaired ability to work and provide care, relationship breakdown [2,5] and suicidean important contributor to maternal deaths globally [6,7].…”

Section: (Continued From Previous Page)mentioning

confidence: 99%

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Prevalence and determinants of perinatal depression among labour migrant and refugee women on the Thai-Myanmar border: a cohort study

et al. 2020

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Background: Perinatal depression is a significant contributor to maternal morbidity and mortality globally. Migrant women, particularly those living in low-and middle-income settings, represent a particularly vulnerable group due to stressors experienced before, during and after migration. The vast majority of global migration flows occurring within and between low-and middle-income regions, yet existing evidence focuses predominantly on migrants in high-income destinations. This study aimed to redress this significant gap in the evidence by determining the prevalence and determinants of perinatal depression among migrant women on the Thai-Myanmar border.Methods: A cohort of labour migrant and refugee women was followed-up from the first trimester of pregnancy to one month post-partum. Depression status was assessed in the first, second and third trimesters of pregnancy and at one month post-partum using the Structured Clinical Interview for the Diagnosis of DSM-IV Disorders. Women diagnosed with depression had immediate access to care. Data on potential demographic, social and clinical associated factors was collected using a questionnaire. Prevalence and incidence of any depressive disorder and moderate-severe depressive disorder was calculated. Univariable and multivariable logistic regression using complete case analysis was used to estimate odds ratios (OR) of association between exposure variables and depression status.(Continued on next page)

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Section: Discussionsupporting

confidence: 87%

Section: (Continued From Previous Page)mentioning

confidence: 99%

Prevalence and determinants of perinatal depression among labour migrant and refugee women on the Thai-Myanmar border: a cohort study

et al. 2020

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“…For example, globally approximately 10% of pregnant women were estimated to suffer from depression,1 with prevalence rates of 15.6% in low-income and lower-middle-income countries 8. A recent meta-analysis has reported a 19.2% prevalence of antenatal depression in low-income and middle-income countries 58. The higher prevalence found in our meta-analysis may reflect a high prevalence of risk factors within the pregnant population of the region as a whole.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of antenatal depression in South Asia: a systematic review and meta-analysis

Mahendran

Puthussery

Amalan

2019

J Epidemiol Community Health

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ObjectiveTo estimate the prevalence of antenatal depression in South Asia and to examine variations by country and study characteristics to inform policy, practice and future research.MethodsWe conducted a comprehensive search of 13 databases including international databases and databases covering scientific literature from South Asian countries in addition to Google Scholar and grey sources from 1 January 2007 to 31 May 2018. Studies reporting prevalence estimates of antenatal depression using a validated diagnostic/screening tool were identified, screened, selected and appraised. Primary outcome was proportion (%) of pregnant women identified as having antenatal depression.ResultsThirty-three studies involving 13 087 pregnant women were included in the meta-analysis. Twelve studies were rated as high quality and 21 studies were of moderate quality. Overall pooled prevalence of antenatal depression was 24.3 % (95% Confidence Interval (CI) 19.03 to 30.47). Studies showed a high degree of heterogeneity (I2=97.66%) and evidence of publication bias (p=0.668). Prevalence rates for India (17.74%, 95% CI 11.19 to 26.96) and Sri Lanka (12.95%, 95% CI 8.29 to 19.68) were lower compared with the overall prevalence, whereas prevalence rates for Pakistan (32.2%, 95% CI 23.11 to 42.87) and Nepal (50%, 95% CI 35.64 to 64.36) were higher.ConclusionsWhile robust prevalence studies are sparse in most South Asian countries, available data suggest one in four pregnant women is likely to experience antenatal depression in the region. Findings highlight the need for recognition of the issue in health policy and practice and for resource allocation for capacity building at regional and national levels for prevention, diagnosis and treatment.

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“…Perinatal depression, the onset of depression during pregnancy or within the first four weeks after giving birth (American Psychiatric Association, 2013), is a global health concern affecting an estimated 11.9% of women (Woody, Ferrari, Siskind, Whiteford, & Harris, 2017) and their infants whose cognitive, emotional, and behavioral development may be impaired (Hoffman, Dunn, & Njoroge, 2017;Stein et al, 2014). Decades of research suggest that the etiology of perinatal depression is complex, and that perinatal depression risk is modulated by a range of biological (e.g., endocrine, inflammatory, genetic) and psychosocial (e.g., stress, social support, relationship quality) factors (e.g., Yim, Tanner Stapleton, Guardino, Hahn-Holbrook, & Dunkel Schetter, 2015).…”

Section: Introductionmentioning

confidence: 99%

Cortisol reactivity and depressive symptoms in pregnancy: The moderating role of perceived social support and neuroticism

Kofman

Eng

Busse

et al. 2019

Biological Psychology

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A systematic review and meta-regression of the prevalence and incidence of perinatal depression

Abstract: Background

Cited by 998 publications

References 48 publications

Prevalence and determinants of perinatal depression among labour migrant and refugee women on the Thai-Myanmar border: a cohort study

Prevalence and determinants of perinatal depression among labour migrant and refugee women on the Thai-Myanmar border: a cohort study

Prevalence of antenatal depression in South Asia: a systematic review and meta-analysis

Cortisol reactivity and depressive symptoms in pregnancy: The moderating role of perceived social support and neuroticism

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