Literature DB >> 32698779

Postnatal depression and its association with adverse infant health outcomes in low- and middle-income countries: a systematic review and meta-analysis.

Abel Fekadu Dadi1,2, Emma R Miller3, Lillian Mwanri3.   

Abstract

BACKGROUND: Postnatal Depression (PND) is a mood disorder that steals motherhood and affects the health and development of a newborn. While the impact of PND on motherhood and newborn in developed countries are well described, its epidemiology and health consequences in infant is not well known in middle-and low-income countries. The objective of this review was to determine the burden and association of PND with adverse infant health outcomes in low-and middle- income countries.
METHODS: We searched observational studies written in the English language and conducted in middle-and low-income countries between December 1st, 2007, and December 31st, 2017. The CINHAL, MEDLINE, Emcare, PubMed, Psych Info, and Scopus databases were searched for the following search terms: PND, acute respiratory infection, pneumonia, diarrhea, exclusive breastfeeding, common infant illnesses, and malnutrition. We excluded studies in which the primary outcomes were not measured following a standardized approach. We have meta-analyzed the estimates from primary studies by adjusting for possible publication bias and heterogeneity. The analysis was conducted in Stata 14. The study was registered in PROSPERO protocol number CRD42017082624. RESULT: Fifty-eight studies on PND prevalence (among 63,293 women) and 17 studies (among 32,454 infants) on infant health outcomes were included. PND prevalence was higher in the low-income countries (Pooled prevalence (PP) = 25.8%; 95%CI: 17.9-33.8%) than in the middle-income countries (PP = 20.8%; 95%CI: 18.4-23.1%) and reached its peak in five to ten weeks after birth. Poor obstetric history and social support, low economic and educational status, and history of exposure to violence were associated with an increased risk of PND. The risk of having adverse infant health outcomes was 31% higher among depressed compared to non-depressed postnatal mothers (Pooled relative risk (PRR) = 1.31; 95%CI: 1.17-1.48). Malnutrition (1.39; 1.21-1.61), non-exclusive breastfeeding (1.55; 1.39-1.74), and common infant illnesses (2.55; 1.41-4.61) were the main adverse health outcomes identified.
CONCLUSIONS: One in four and one in five postnatal mothers were depressed in low and middle-income countries, respectively. Causes of depression could be explained by social, maternal, and psychological constructs. High risk of adverse infant health outcomes was associated with PND. Timely screening of PND and evidence-based interventions were a pressing need in low and middle-income countries.

Entities:  

Keywords:  Adverse infant health outcomes; And middle-income countries; Low; Meta-analysis; Postnatal depression; Systematic review

Mesh:

Year:  2020        PMID: 32698779      PMCID: PMC7374875          DOI: 10.1186/s12884-020-03092-7

Source DB:  PubMed          Journal:  BMC Pregnancy Childbirth        ISSN: 1471-2393            Impact factor:   3.007


Background

Worldwide, depression is the most common mental illness and the leading cause of maternal morbidity and disability in the perinatal period [1, 2]. Postnatal depression (PND) is a crippling mood disorder that steals motherhood [3]. It is characterized by signs and symptoms such as low mood, tiredness, insomnia, irritability, and reduced functioning [4]. The symptoms of PND commences four to six weeks after childbirth [4] and get peak two to three months after birth [3, 5, 6]. The causes of PND are explained by genetics and socio-environmental constructs [7]. Postnatal depression is used to be an issue of Western countries [8], and research focus on this problem has been limited until the relationship found between socioeconomic status and PND [9, 10]. Recent evidence has shown that the prevalence of PND is higher in low-and middle-income countries (range from 7 to 33%) than high-income countries (range between 13 and 19%) [5, 11, 12]. Postnatal depression found to be heterogeneous in Africa with lower prevalence in Uganda (7.1%) and the highest in Zimbabwe (33%) [13]. Far less is known about PND, although more than 90% of the world’s children are living in low-and middle-income countries [13]. This suggests more concise and updated estimate about PND epidemiology and consequences are pivotal. Postnatal depression is the second cause of disability next to HIV/AIDS [2], and the most known complication of childbirth [14]. Postnatal depression can increase the cost of the health care system [15], reduce mother’s quality of life and workforce in the economy [16]. Postnatally depressed women are at risk of back pain, insomnia, thought of self-harm, suicidal ideation, and poor parenting behavior [17, 18]. Postnatal depression affects initiation of breastfeeding and effective utilization of available health services [17, 19]. This could lead to malnutrition and weakened immune systems with further predisposition to illnesses including diarrhea, pneumonia, measles, and other childhood illnesses [12, 20–22]. The identification of women potentially at risk of PND is vital to prevent the onset and subsequent consequences. The previous reviews on PND were descriptive, incomprehensive and inconclusive [11, 23–28], skewed to developed countries [4, 17, 23, 24], and lacked detail quantification of risk factors. The previous reviews about PND effects on adverse infant health outcomes were scarce, descriptive, outdated, and mostly included studies from developed countries [12, 13, 17]. We did this comprehensive review to explore the prevalence and thematically quantify and present most notable risk factors of PND, and to investigate its association with risk of adverse infant health outcomes in low- and middle-income countries.

Methods

Search strategy

We searched the CINHAL, MEDLINE, EMCare, PubMed, Psych Info, and Scopus databases for postnatal depression and its effect on adverse infant health outcomes. The following search terms were used: Postnat*, postpart*, depress*, exclusive breastfeeding, pneumonia, common infant illnesses, diarrhea, measles, diarrhea, fever, malnutrition, and infant feeding practices.

Eligibility criteria

We included observational studies conducted in low and middle-income countries, written in the English language, and published between January 1st, 2007, and December 31st, 2017 with an aim of including only updated data on the topic. Furthermore, studies were included if they fulfilled the following main outcome definitions:- (1) malnutrition was measured using standard indices like wasting, stunting, short stature, or underweight/overweight; (2) age-related infant feeding practice that reported exclusive breastfeeding or complementary feeding; (3) common infant illnesses such as ARI (pneumonia, fever, and cough), malaria, measles, and diarrhea were assessed following the WHO Integrated Management of Newborn and Childhood Illnesses (IMNCI) guideline; (4) measurement of depression was done using a standard and validated screening tools. According to the World Bank Atlas, low-income and middle-income countries are those with the Gross National Income (GNI) per capita of ≤ $1025 and between $1026 to 12,375.

Exclusion criteria

Studies that pooled antenatal and PND scores, had fair to poor quality score on the New Castle Ottawa Scale, studies restricted to very high or low-risk populations, conference proceedings, commentaries, abstracts, reports, and unpublished data were excluded.

Data extraction and study quality assessment

This section of methodology has been published previously in recent paper [29].

Data analysis

Estimates from primary studies were reported in prevalence, odds ratios, or relative risks. For the first objective, estimating the overall prevalence of PND, the prevalence extracted from all primary studies were meta-analyzed. For the second objective, identifying prominent risk factors of PND, odds ratios obtained for each risk factor identified from each primary study were meta-analyzed to get a pooled odds ratio for that specific risk factor. For the third objective, investigating the association between PND and adverse infant health outcomes, relative risk estimates obtained from each primary study were collected and meta-analyzed to get a single estimate for each adverse birth outcomes. The meta-analysis for each objective was reported in a separate forest plot, and their main findings were summarized in tables. For studies that lacked adjusted estimates, crude estimates were used. Where a single study reported more than one adverse birth outcomes, pooling was done for each outcome.

Risk of bias and adjustment

Cochran Q (I), visual inspection of forest plot, Galbraith plot [30], and Higgins test [31] were used to assess the presence of heterogeneity. The DerSimonian and Lairds random-effect model was used to pool odds ratio or relative risk estimates in the presence of heterogeneity. These sub-group analyses investigated differences between and within groups’ effect. Study setting, study design, year of investigation, tools used for measuring depression, sample size, and income of the country were used as base for sub-analysis. Visual inspection of a funnel plot asymmetry and Egger’s regression test were used to check for potential publication bias [32, 33]. The L estimator of Duval and Tweedie was used to find and fill the missed studies through the procedure called the trim-and-fill analysis [34]. A meta-analysis was conducted after log-transforming the estimates from primary studies. As overall adverse infant health outcomes are considered rare in this studies (most of the are close to one), ORs, RRs, and HRs were assumed as a reasonable approximations of each other [35-37]. Sensitivity analysis was also conducted to test for the presence of studies with outlier estimates. All analyses were conducted in Stata 14 [38].

Protocol registration

This review was registered in PROSPERO with protocol number CRD42017082624.

Result

In total, 1291 records were retrieved from databases. After removing duplicates, reviewing titles, and abstracts, 149 records were deemed eligible for full text review. After exclusion of 67 records in full text review, 84 records were assessed for quality. Lastly, 58 articles on PND [39-95] and 17 [56, 58, 83, 85, 86, 89–91, 95–103] articles on adverse infant health outcomes were assessed as good quality and were included in quantitative analysis (Fig. 1).
Fig. 1

Flow chart of study inclusion for systematic review and meta-analysis of postnatal depression and its effect on adverse infant health outcomes in low and middle-income countries, 2007–2017

Flow chart of study inclusion for systematic review and meta-analysis of postnatal depression and its effect on adverse infant health outcomes in low and middle-income countries, 2007–2017

Postnatal depression

Among 58 studies (with 63,293 population), 47 (81%) studies were conducted in middle-income countries, 38(66%) were institutional-based studies, and 41(70%) used EPDS for screening depression. Fourteen studies were conducted in Africa, 13 studies were from countries located in North and South America, and 31 studies were conducted in Asia. A wide range of PND prevalence (3.5% in Ghana to 58.8% in Iran) was observed across the studies. The studies were published from 2007 to 2017 with sample sizes ranging between 87 and 16,560 participants. (Table 1) Because of substantial evidence of heterogeneity among primary studies as evidenced by Cochran Q (I = 99.0%), visual inspection of forest plot, and Higgins test (p = 0.001), estimate from DerSimonian and Lairds random-effect model was reported in a sub-group analysis. Because of evidence in publication bias, an estimate from trim and fill analysis was reported in each sub-analysis (Eggers test, P < 0.01). A sensitivity analysis showed a PND prevalence ranging between 18.82 and 25.02%.
Table 1

Summary of studies conducted on postnatal depression and associated factors in low and middle-income countries (2007–2017), N = 58

Author, P. yearYearCountry, incomeStudy settingSample sizeTime of assessmentTool usedPrevalence
Dindar I et al. 2007 2007MiddleHI679birth to 48 weeksEPDS25.6%
Ege E et al. 2008 2008Middlecommunity3646 to 48 weeksEPDS33.2%
Flores-Quijano ME et al., 20082008MiddleHI1632 to 12 weeksEPDS24.5%
Hasselmann MH et al., 2008 2008MiddleHI429birth to 8 weeksEPDS35.8%
Tannous L et al., 2008 2008Middlecommunity2716 to 8 weeksEPDS20.7%
Durat and Kutlu, 20102009MiddleHI126birth to 48 weeksEPDS23.8%
Yagmur Y et al., 2010 2010Middlecommunity730birth to 48 weeksEPDS21.0%
Botino M et al., 20122012MiddleHI811birth to 20 weeksEPDS24.3%
Goker A et al., 2012 2012MiddleHI3184 to 48 weeksEPDS31.4%
Pocan Ag et al., 20132013MiddleHI1874 to 6 weeksEPDS28.9%
Melo Jr. EF et al., 20122012MiddleHI5554 to 6 weeksEPDS10.8%
Mathisen SE et al. 2013 2013MiddleHI874 to 6 weeksEPDS37.2%
Serhan N et al. 20132012Middlecommunity1108 to 24 weeksEPDS9.1%
de Castro et al 20152014MiddleHI604birth to 36 weeksEPDS10.6%
Lara MA et al., 20152014MiddleHI21024 weeksSCID-I13.4%
Corrêa H et al., 20162016MiddleHI3060birth to 48 weeksEPDS19.5%
Robert A et al., 2016 2016MiddleHI194birth to 6 weeksEPDS40.2%
Ho-Yen SD et al. 2007 2007Lowcommunity4264 to five weeksEPDS4.9%
Baghianimoghadam et al, 20092007MiddleHI1201 to 16 weeksBDI58.8%
Gao L et al., 20092008MiddleHI1306 to 8 weeksEPDS13.8%
Kadir AA, et al., 2009 2009MiddleHI2934 to 6 weeksEPDS27.3%
Wan EY et al., 2009 2009MiddleHI3426 to 8 weeksEPDS15.5%
Petrosyan D, et al.,2011 2011MiddleHI4373 monthsEPDS14.4%
Ahmed HM et al., 2012 2012MiddleHI10006 to 8 weeksEPDS28.4%
Hegde S et al. 2012 2012MiddleHI1506 to 14 weeksEPDS15.5%
Zainal NZ et al. 2012 2012MiddleHI4116 to 8 weeksMINI6.8%
Swapan G et al. 20132013MiddleHI2026 weeksPRIME MD15.8%
Panyayong B et al., 2013 2013Middlecommunity17316 to 8 weeksEPDS8.4%
Abdollahi F et al., 2014 2014MiddleHI18018 to 12 weeksEPDS4.5%
Deng AW et al., 20142014Middlecommunity18234 weeksEPDS27.4%
El-Hachem C et al. 2014 2014MiddleHI2284 weeksEPDS12.0%
Giri RK et al. 2015 2015LowHI3466 to 10 weeksEPDS30.0%
Yusuff ASM et al. 20152015MiddleHI20724 to 24 weeksEPDS14.3%
Murray L et al. 2015 2015MiddleHI4314 to 24 weeksEPDS18.1%
Shivalli S et al. 2015 2015MiddleHI1024 to 6 weeksEPDS31.4%
Abdollahi et al. 2014 2014MiddleHI191012 weeksEPDS19.0%
Safadi RR et al. 2016 2016LowHI31512 weeksPHQ-925.0%
Iranpour S et al. 20172017Middlecommunity36012 weeksEPDS34.8%
Liu S et al. 2017 2017Middlecommunity8824 weeksEPDS6.7%
Ramchandani PG et al. 20092008Middlecommunity103524 weeksPDQ16.4%
Stewart RC et al. 20102009MiddleHI50136 weeksDSM-IV13.9%
Hassanein I et al. 20142014LowHi29012 weeksEPDS39.0%
Mohammed ES et al. 2014 2014Lowcommunity20056 weeksEPDS49.5%
Khalifa DS et al. 2015 2015LowHI30012 weeksEPDS9.2%
Stellenberg E et al. 20152016Middlecommunity1596 to 14 weeksEPDS50.3%
Weobong B et al. 2013 2016Middlecommunity13, 3604 weeksPHQ-93.8%
Shamu S et al., 2008 2016LowHI8426 weeksCES-D21.4%
Azale A et al. 2016 2016LowCommunity38524 weeksPHQ_912.1%
Surkan PJ et al. 20092009MiddleHI59524 to 48 weeksCES-D56.0%
Machado MC et al. 2014 2014MiddleHI1684 t0 12 weeksEPDS16.1%
Gausia K et al. 2010 2010LowCommunity3186 to 8 weeksEPDS20.1%
Upadhyay AK et al. 2016 2016MiddleCommunity183320 to 84 weeksSRQ-2029.8%
Islam MJ et al. 20172016LowCommunity42624 weeksEPDS35.2%
Saeed Q et al. 20162016LowCommunity32596 weeksAKUADS40.0%
Ndokera R et al. 20082008Middlecommunity2788 to 48 weeksSRQ-209.7%
Guo N et al. 2013 (Ghana)2013MiddleHI65412 weeksPHQ_98.9%
Guo N et al. 2013(Ivory Coast)2013MiddleHI65412 weeksPHQ_911.8%
Weobong B et al. 2015 2017MiddleCommunity16,5604 to 12 weeksDSM-IV3.5%

HI health institution, PDQ Pitt depression questionnaire, AKUADS Aga Khan University Anxiety and Depression Scale> = 20, EPDS Edinburgh Postnatal Depression Scale, BDI Beck depression inventory, CED Center for Epidemiological Studies Depression scale, SCID-I Structured Clinical Interview for the DSM-IV depression module, MINI Mini International Neuropsychiatric Interview, PHQ-9 patient health questioner, SRQ-20 Self Reporting Questionnaire

Summary of studies conducted on postnatal depression and associated factors in low and middle-income countries (2007–2017), N = 58 HI health institution, PDQ Pitt depression questionnaire, AKUADS Aga Khan University Anxiety and Depression Scale> = 20, EPDS Edinburgh Postnatal Depression Scale, BDI Beck depression inventory, CED Center for Epidemiological Studies Depression scale, SCID-I Structured Clinical Interview for the DSM-IV depression module, MINI Mini International Neuropsychiatric Interview, PHQ-9 patient health questioner, SRQ-20 Self Reporting Questionnaire Postnatal depression increased during the last seven years, from 18.2% (95%CI: 12.8–23.5%) in 2010–2012 to 25.6% (95%CI: 19.9–27.2%) in 2016–17. The prevalence was higher in low-income countries (Pooled Prevalence (PP) = 25.8%; 95%CI: 17.9–33.8%) and in health institutional-based studies (PP = 22.1%; 95%CI: 18.8–25.3%). Postnatal depression increases from the earliest weeks of birth (PP = 17.6%; 95%CI; 7.7–27.5%) to the end of second year (PP = 25.2%; 95%CI: 19.9–30.5%). Postnatal depression was the highest in studies used Beck Depression Inventory (BDI), Center for Epidemiological Studies Depression scale (CED), the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I), Mini International Neuropsychiatric Interview (MINI) (PP = 28.3%; 95%CI: 16.9–39.8%), and in studies with small sample (PP = 23.3%; 95%CI: 20.2–26.5%) (Table 2).
Table 2

Sub-analysis of postnatal depression prevalence in low and middle-income countries (N = 58, 2007–2017), (random effect model, result after a trim and fill analysis)

Variable of sub-analysisNumber of studiesSample sizePooled prevalence; 95%CI
Year of publication
 2007–200915575225.1 (18.1–32.2)
 2010–201210484018.2 (12.8–23.5)
 2013–20152014,00019.6 (15.8–23.5)
 2016–2017 (two years)1338,70125.6 (19.9–27.2)
Income of the country
 Low income11417325.8 (17.9–33.8)
 Middle income4759,12020.7 (18.4–23.1)
Study setting
 Health institution3821,71722.1 (18.8–25.3)
 Community based2041,57620.9 (17.9,23.9)
Time of screening
 Birth to four weeks516,48717.6 (7.8–27.5)
 5 weeks to 10 weeks2226,59921.9 (18.0–25.7)
 11 weeks to 16 weeks12768317.9 (14.1–21.8)
 17 weeks to 96 weeks1912,52425.2 (19.9–30.5)
A tool used for depression screening
 EPDS4125,01322.6 (19.6,25.7)
 PHQ-9 and SRQ-20717,47914.4 (6.2–22.6)
 DSM-IV217,0618.6 (1.6–18.8)
 Other/BDI, CED, SCID-I, MINI/8374028.3 (16.9–39.8)
Sample size
  < =10914919,14323.4 (20.2–26.5)
  > 1091944,15014.4 (10.6–18.1)

EPDS Edinburgh Postnatal Depression Scale, BDI Beck depression inventory, CED Center for Epidemiological Studies Depression scale, SCID-I structured clinical interview for the DSM-IV depression module, MINI Mini International Neuropsychiatric Interview, PHQ-9 patient health questioner, SRQ-20 self reporting questionnaire

Sub-analysis of postnatal depression prevalence in low and middle-income countries (N = 58, 2007–2017), (random effect model, result after a trim and fill analysis) EPDS Edinburgh Postnatal Depression Scale, BDI Beck depression inventory, CED Center for Epidemiological Studies Depression scale, SCID-I structured clinical interview for the DSM-IV depression module, MINI Mini International Neuropsychiatric Interview, PHQ-9 patient health questioner, SRQ-20 self reporting questionnaire Poor obstetric history (Pooled Odds Ratio (POR) = 1.98; 95%CI: 1.66–2.36) and social support (POR = 2.44; 95%CI: 1.92–3.09), exposure to history of CMD (POR = 3.30; 95%CI: 1.88–5.80) and violence (POR = 2.61; 95%CI: 2.16–3.15), low economic (POR = 2.05; 95%CI: 1.66–2.54) and educational status (POR = 2.06; 95%CI: 1.56–2.73), and problem with maternal and newborn health (POR = 3.16; 95%CI: 1.96–5.08) were risk factors for PND (Table 3).
Table 3

Summary of risk factors significantly associated with postnatal depression (N = 58, 2007–2017), (random effect model, result after a trim and fill analysis)

Variable of sub-analysisNumber of studiesSample sizePooled Odds Ratio (POR), 95%CII2, p-value
Poor obstetric history (unplanned pregnancy, GDM, GHP, labor complication, history of emesis, multiparty)1828,7661.98 (1.66–2.36)64.5%, p = 0.001
History of CMD (depression during pregnancy, family psychiatric illness, stressful life event)1310,0743.30 (1.88–5.80)99.2%, p = 0.001
Poor social support1211,2062.44 (1.92,3.09)73.8%, p = 0.001
Low economic status1276712.05 (1.66–2.54)96.2%, p = 0.001
Problem with maternal and newborn health1159543.16 (1.96–5.08)91.7%, p = 0.001
Exposure to any forms of violence (physical, emotional, sexual)757302.61 (2.16–3.15)0%, p = 0.867
Low educational status of the mother755492.06 (1.56–2.73)48.2%, P = 0.07

CMD common mental disorder, GDM gestational diabetes mellitus, GHP gestational hypertension

Summary of risk factors significantly associated with postnatal depression (N = 58, 2007–2017), (random effect model, result after a trim and fill analysis) CMD common mental disorder, GDM gestational diabetes mellitus, GHP gestational hypertension

The association between postnatal depression on adverse infant health outcomes

Seventeen studies (33 estimates), with a total of 31,454 participants, were included in this analysis. Nine studies from Africa, eight from Asia, and four from countries in North America were found. Fifteen studies represented middle-income countries, and five studies represented low-income countries. Twelve (57%) studies were longitudinal, 12 (57%) were community-based, and their sample size ranged from 166 to 16,560 participants. Center for Epidemiological Studies Depression scale (CED) and EPDS screening tools were used in 7 (33%) and 5 (23.8%) of the studies, respectively (Table 4).
Table 4

Summary of studies conducted on the effect of postnatal depression on infant health outcomes in low and middle-income countries, 2007–2017 (N = 14)

Author, P. yearCountry, incomeStudy settingStudy designSample sizeweeksScreening tool usedInfant adverse health outcomesEstimate (RR/OR)LCIUCI
Hasselmann MH et al. 2008 Brazil, MiddleHIcohort4294 to 8 weeksEPDSNon-EB1.211.021.45
Surkan PJ et al. 2008Brazil, MiddleHIcross sectional5956 to 12 monthsCES-DShort stature1.81.12.9
Machado MC et al. 2014 Brazil, MiddleHIlongitudinal1681 to 3 monthsEPDSNon-EB1.611.192.19
Gausia K et al. 2010 Bangladish, LowCommunitylongitudinal3186 to 8 weeksEPDSDiarrhea1.741.253.42
Rahman A et al. 2016 Pakistan, LowCommunitycohort2796 monthsDSM-IVNon-EB1.420.982.06
Upadhyay AK et al. 2016 India, MiddleCommunitylongitudinal18335 to 21 monthsSRQ-20Stunting1.531.211.92
Islam MJ et al. 2017Bangladish, LowCommunitycross sectional4266 monthsEPDSNon-EB52.2711.11
Saeed Q et al. 2016Pakistan, LowCommunitycross sectional3252 yearsAKUADStunting3.151.915.18
Underweight3.261.995.34
Adewuya AO et al. 2007Nigeria, MiddleHIcase control2426 to 12 weeksSCID-NPPoor weight3.411.38.52
Poor height3.281.0310.47
Guo N et al. 2013 Ghana, MiddleHILongitudinal6543 monthsPHQFebrile illnesses1.321.011.74
Guo N et al. 2013 Côte d’Ivoire MiddleFebrile illnesses1.571.202.07
Ashaba Set al 2013Uganda, LowHICase control1661–5 yrs(M.I.N.I.)Malnutrition2.41.115.18
Weobong B et al. 2017Ghana, MiddleCommunityLongitudinal16,5604 to 12 weeksDSM-IVDiarrhea1.81.452.14
cough1.491.281.7
Fever1.81.492.11
Vomiting1.981.262.71
Madeghe BA et al. 2016 Kenya, MiddleHICross-sectional2006 to 14 weeksEPDSNon-EB6.142.4513.36
Underweight4.41.9111.93
Wemakor A et al. 2016 Ghana, MiddleHICross-sectional3840–59 monthsCED-SStunting2.481.294.77
Ndokera R et al. 2008Zambia, MiddlecommunityCross-sectional2782–12 monthsCEDserious illness1.640.515.24
diarrhea1.320.712.48
underweight1.480.356.22
Maureen M Black et al. 2009Bangladish, LowCommunitycross sectional2216–12 monthsCEDStunting2.171.243.81
Benett IM et al. 2015India, MiddlecommunityLongitudinal193012 monthsCEDStunting1.181.031.35
Underweight1.110.971.26
Ethiopia, Low1885Stunting0.910.811.02
Underweight1.010.891.15
Peru, Low1946Stunting1.060.931.22
underweight0.850.61.19
Vietnam Low1961Stunting0.910.811.02
Underweight1.291.031.62
Summary of studies conducted on the effect of postnatal depression on infant health outcomes in low and middle-income countries, 2007–2017 (N = 14) Of 33 estimates, 19 were on malnutrition, 10 were on common infant illness, and 4 were on non-exclusive breastfeeding. The following authors studied more than one outcome in a single study: Adewuya et al. studied two different forms of malnutrition (stunting and underweight); Guo et al. studied febrile illnesses in two countries (Ghana and Côte d’Ivoire); Weobong et al. studied four different types of febrile illnesses (diarrhea, cough, fever, vomiting); Madeghe et al. studied two different forms of outcome (Non-exclusive breast feeding and underweight); Ndokera et al. studied three different forms of outcomes (serios illnesses, diarrhea, underweight); Benett et al. studied two different forms of malnutrition in four countries (stunting and underweight in India, Ethiopia, Peru, and Vietnam) (Table 4) All type of outcomes were sub-analyzed based on the three major forms of adverse infant health outcomes as stated in the Integrated Management of Newborn and Childhood Illnesses (IMNCI) guideline [104]: febrile illnesses (accounts for fever, diarrhea, vomiting, cough); malnutrition (underweight, stunting, malnutrition); and non-exclusive breastfeeding (Fig. 2).
Fig. 2

Forest plot of the effect of perinatal depression on adverse infant health outcomes (N = 17) in Low and Middle-income countries sub analyzed by the type of adverse infant health outcome

Forest plot of the effect of perinatal depression on adverse infant health outcomes (N = 17) in Low and Middle-income countries sub analyzed by the type of adverse infant health outcome Seventeen estimates were reported in relative risk (RR), 13 in odds ratio (OR), while the rest three estimated the hazard ratio (HR). The association between PND and malnutrition (underweight, wasting, stunting, short stature), common infant illness (diarrhea, febrile illnesses, cough), and non-exclusive breastfeeding were significant in 12, eight, and three studies, respectively. As a small study effect and high heterogeneity were evidenced, the final estimate corrected for trim and fill analyses from a random effect model was reported (Figs. 3 and 4). Accordingly, PND was associated with 1.31 times increased risk of adverse infant health outcomes (95%CI: 1.17–1.48). The sub-analyses based on the types of outcomes showed the following: a risk of being malnourished, being sick by common infant illnesses, and having non-exclusively breastfeeding was 1.39 times (95%CI: 1.21–1.61), 1.55 times (95%CI; 1.39–1.74), and 2.55 times (95%CI; 1.41–4.61) higher among infants of depressed than non-depressed mothers, respectively (Fig. 2).
Fig. 3

Funnel plot before Tweedie’s and Duval’s trim and fill alanysis for testing publication bias

Fig. 4

Funnel plot after Tweedie’s and Duval’s trim and fill alanysis (10 unpublished studies found on the topic)

Funnel plot before Tweedie’s and Duval’s trim and fill alanysis for testing publication bias Funnel plot after Tweedie’s and Duval’s trim and fill alanysis (10 unpublished studies found on the topic) A sub-analysis was conducted to explore the consistency of the association across different characteristics of the studies. Accordingly, (1) a pooled estimate from the OR (Pooled Odds Ratio (POR) = 2.62; 95%CI: 2.03–3.38) was larger than the RR (PRR = 1.24; 95%CI: 1.10–1.41) and the HR (PHR = 1.44; 95%CI: 1.21–1.70); (2) the risk was similar for studies used screening (EPDS, PHQ, SRQ) and diagnostic tool (DSM/MINI); (3) the risk of adverse infant health outcomes decreased as age of the infant increased; from 1.75 (95%CI; 1.51–2.03) at the age of 0 to 6 months to 1.28 (95%CI: 1.06–1.54) at the age of 12 months and above; (4) the risk of adverse infant health outcomes was lower in low-income countries (PRR = 1.40; 95%CI:1.37–1.74) compared to middle-income countries (PRR = 1.59; 95%CI: 1.40–1.81); and (5) as sample size increased the association between PND and adverse infant health outcome decreased; from 1.98 (95%CI; 1.63–2.40) for those included a sample size less than 1500 to 1.27 (95%CI; 1.10–1.46) for the studies with larger sample sizes. (Supplementary information) According to the sensitivity analysis, the pooled relative risks ratio was not affected when individual studies were omitted (Fig. 5).
Fig. 5

Sensitivity analysis for estimates on postnatal depression and its effect on adverse infant health outcomes in Low-and Middle-income countries (Number of estimates = 33)

Sensitivity analysis for estimates on postnatal depression and its effect on adverse infant health outcomes in Low-and Middle-income countries (Number of estimates = 33)

Discussion

The current comprehensive and relatively sizeable review and meta-analyses have dealt with the burden, risk factors, and effects of PND on infant health outcomes in low and middle-income countries. The review has included 58 primary studies on PND and 17 studies (with 33 estimates) investigating on PND effect on infant health outcomes in the past ten years. The review founds that a significant number of postnatal mothers were depressed, and their infants suffered from malnutrition, common infant illnesses, and non-exclusive breastfeeding.

Postnatal depression and its predictors

The research evidence dealing with PND in low and middle-income countries has been increasing over time. The current meta-analysis showed that one in four and one in five postnatal mothers were living with PND in low-and middle-income countries, respectively. These findings were consistent with a review conducted by Gelaye et al. in low and middle-income countries [12] and slightly higher than a review published by Sawyer et al. [25]. We hypothesized that the rapid decline in reproductive hormones such as estrogen following childbirth might contribute to a dysregulation of the stress hormone, monoamine, and reproductive hormone, which subsequently leads to depression [105]. Postnatal depression prevalence has been increasing from 18 to 25% in the last seven years, which supports the WHO prediction that depression will be the third global leading cause of morbidity by 2030 [106, 107]. The PND prevalence increased in the first 10 weeks, slightly decreased from 11 to 16 weeks, and steadily rose from 17 to 96 weeks after birth. The trend for the first 16 weeks is similar to a study conducted in developed countries [14, 108]. However, the interpretation for these estimates should account for the window of measurement, as a wider window predicts larger estimates. Community-based studies, studies used diagnostic tools (DSM-IV) for identifying depression, and studies with larger samples predicted relatively prevalence. However, the estimates were consistent across all the sub-analysis that showed the high public health importance of PND in low and middle-income countries. This review identified the following PND predictors: poor obstetric history and social support, history of common mental disorder and violence, low economic and educational status, and maternal and newborn ill health. Poor obstetric history (unwanted or unplanned pregnancy, multi-parity, history of emesis) strongly predicted PND. These events could be related to household income, mother’s un-satisfactory birth experiences, predisposition to bad parenting experience, and post-traumatic stress [23, 25]. Unwanted or unplanned pregnancies could also affect emotional and instrumental support that the mother could get from her partner and related families [109]. Psychosocial factors such as a history of common mental health disorders, poor social support, and exposure to violence, were identified as significant predictors of PND. These findings are consistent with previously published systematic reviews [12, 14, 25, 110]. Poor social support could aggravate the mother’s stress and depression symptoms as it affects mother’s self-confidence and efficacy [109, 111]. Pregnant mothers who had depression or a history of mental disorders are more likely to develop PND as they are more likely to dampen their positive affect [112], practice rumination and develop a negative cognitive style that could persist throughout the continuum of pregnancy [113, 114]. Moreover, emerging brain neuroimaging explanations of altered neurocognitive functioning have predicted mother’s exposure to childhood abuse or any type of violence as a risk factor for future psychiatric symptomatology [115, 116]. Low economic status and a problem with maternal and newborn health were also predicted PND. Mothers living in low-income countries are less likely to access adequate housing, health service, nutrition, and they experienced challenges in providing adequate care for their infant situations that would add a further layer of stress [11, 117]. Problem with the mother’s mental health affects mother-infant interactions, hygienic practices during food preparation and storage, and proper care for the newborn, altogether makes the mothers feel guilty and worthless, subsequently leading to depression [91, 118].

Postnatal depression and its effect on adverse infant health outcomes

Postnatal depression in low-and middle-income countries remains mostly untreated, and there is growing evidence that untreated PND results in adverse infant health outcomes [12, 20–22]. The current systematic review and meta-analysis highlighted the effect of PND on infant health and growth. Postnatal depression increased the risk of adverse infant health outcomes by 31%. PND increased the risk of malnutrition (stunting, wasting, short stature), common infant illnesses, and non-exclusive breastfeeding by 39, 55% and by one and a half fold, respectively. We have estimated that 23.66% (7442) of postnatal mothers who had their infants suffered from adverse infant health outcomes in the study population (31,454) were attributed because of their depression status and could be averted if depression during the postnatal period would have been treated. PND as a risk of adverse infant health outcomes was consistent across all type of association measurement, between use of screening tools (EPDS, PHQ, and SRQ) and clinically diagnosed depression (DSM and MINI), in both institutional and community-based studies, in both high- and low-income countries, and irrespective of study sample. Besides, the association between PND and adverse infant health outcomes was not changed across the age of the infant, even though the risk of adverse infant health outcomes decreased as the age of the infant increased. The association between malnutrition [20, 95], infant morbidity [119] and PND was supported by a similar systematic review and meta-analysis [120]. Three pathways have been proposed to explain the link between mother’s PND symptoms and adverse infant health outcomes: (1) genetic, (2) hormonal, neuro-regulatory system impairment, and (3) environmental, an indirect effect of PND on the quality of mother’s caregiving [20, 121]. The endocrine dysregulation because of PND would compromise a psychosocial functioning that affects a mother-infant interaction [122]. In middle and low-income countries, mothers are more responsible for caring, feeding, and nurturing their newborns than fathers [123] though they are suffering from lack of adequate income, access to quality water, poor sanitation, and knowledge of illnesses and their prevention [13]. Under these highlighted conditions and exacerbated depression symptoms, postnatal mothers are unable to provide the expected level of care to their infant that would affect their growth and wellbeing. The current finding related to the effect of PND on non-exclusive breastfeeding is consistent with two systematic reviews [124, 125]. Postnatal depression affects the self-efficacy of the mother and their intention to breastfeed, as explained in the breastfeeding self-efficacy theory [126, 127]. Mothers of better self-efficacy initiate breastfeeding early, stay breastfeeding for a longer time, and produce self-encouraging thoughts to easily overcome challenges of breastfeeding.

Strength and limitations

The major strengths of the current review include: (1) it was up-to-date, means included primary studies published up to December 30, 2017; (2) inclusion of 75 studies (22 more studies than the recent systematic review by Gelaye et al. [12]; (3) an in-depth analysis and presentation of PND predictors and; (4) an in-depth and up-to-date estimation and presentation of PND effects on adverse infant health outcomes. However, the estimation would be affected by the type and time of depression measurement, methodological and cultural heterogeneities though we treated this heterogeneity with analytical applications. Considering the strengths mentioned above and limitations of our systematic review and meta-analysis, we believed in providing the most accurate quantification of PND prevalence, its prominent risk factors and association with infant morbidity, malnutrition, and early breastfeeding cessation in low-and-middle income countries. These findings add one step forward to the consistency of the evidence that PND is a significant public health threat for the birthing mothers and their infants.

Conclusions

The findings indicate a quarter and one in five postnatal mothers were depressed in low-and middle-income countries, respectively, an indication that it is highly prevalent in the regions. Postnatal mothers with poor obstetric history and social support, history of common mental disorder and childhood violence, low economic status, a problem with maternal and newborn health were more likely to have depression. Postnatal mothers with depression were also at higher risk of having sick, malnourished, and non-exclusively breastfed infant relative to mothers who did not have depression symptoms. More importantly, this effect was similar between studies that clinically diagnosed depression and used self-reporting scales. Based on the current findings, an early screening of postnatal mothers starting from the first four weeks of birth and taking prompt intervention would save the mother and her infant from morbidity, mortality, disability, and future developmental consequences. Additional file 1 : Supplementary material 1: Postnatal supplementary information.
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