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Impact of perinatal and repeated maternal common mental disorders on educational outcomes of primary school children in rural Ethiopia: population-based cohort study

Published online by Cambridge University Press:  07 October 2019

Habtamu Mekonnen
Affiliation:
Assistant Professor, Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University; and Department of Psychology, College of Education and Behavioural Sciences, Jimma University, Ethiopia
Girmay Medhin
Affiliation:
Associate Professor, Aklilu-Lemma Institute of Pathobiology, Addis Ababa University, Ethiopia
Mark Tomlinson
Affiliation:
Professor, Department of Psychology, Stellenbosch University, South Africa
Atalay Alem
Affiliation:
Professor, Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Ethiopia
Martin Prince
Affiliation:
Professor, Assistant Principal, Epidemiological Psychiatry, King's Global Health Research Institute, King's College London, UK
Charlotte Hanlon*
Affiliation:
Reader, Centre for Global Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University; and Centre for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Ethiopia
*
Correspondence: Charlotte Hanlon, Department of Psychiatry, 6th Floor, College of Health Sciences Building, PO 9086, Addis Ababa University, Addis Ababa, Ethiopia. Email: charlotte.hanlon@kcl.ac.uk
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Abstract

Background

There have been no studies from low- or middle-income countries to investigate the long-term impact of perinatal common mental disorders (CMD) on child educational outcomes.

Aims

To test the hypothesis that exposure to antenatal and postnatal maternal CMD would be associated independently with adverse child educational outcomes in a rural Ethiopian.

Method

A population-based birth cohort was established in 2005/2006. Inclusion criteria were: age between 15 and 49 years, ability to speak Amharic, in the third trimester of pregnancy and resident of the health demographic surveillance site. One antenatal and nine postnatal maternal CMD assessments were conducted using a self-reporting questionnaire, validated for the local use. Child educational outcomes were obtained from the mother at T1 (2013/2014 academic year; mean age 8.5 years) and from school records at T2 (2014/2015 academic year; mean age 9.3 years).

Results

Antenatal CMD (risk ratio (RR) = 1.06, 95% CI 1.05–1.07) and postnatal CMD (RR = 1.07, 95% CI 1.06–1.09) were significantly associated with child absenteeism at T2. Exposure to repeatedly high maternal CMD scores in the preschool period was not associated with absenteeism after adjusting for antenatal and postnatal CMD. Non-enrolment at T1 (odds ratio 0.75, 95% CI 0.62–0.92) was significantly but inversely associated with postnatal maternal CMD. There was no association between maternal CMD and child academic achievement or drop-out.

Conclusions

Our findings support the hypothesis of a critical period for exposure to maternal CMD for adverse child outcomes and indicate that programmes to enhance regular school attendance in low-income countries need to address perinatal maternal CMD.

Declaration of interest

None.

Type
Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2019

Women of childbearing age are at increased risk of common mental disorders (CMD),Reference Walker, Wachs, Gardner, Lozoff, Wasserman and Pollitt1 mainly depression and anxiety.Reference Goodman2,Reference Estrin, Ryan, Trevillion, Demilew, Bick and Pickles3 Postnatal depression has an estimated prevalence of 13%Reference Grace, Evindar and Stewart4 in high-income countries (HICs) and 19.8% in low- and middle-income (LMICs) countries.Reference Fisher, Cabral de Mello, Patel, Rahman, Tran and Holton5 The negative impact of maternal CMD extends beyond the individual woman to affect family, work, social relationships and interactions with the child.Reference Walker, Wachs, Gardner, Lozoff, Wasserman and Pollitt1,Reference Grace, Evindar and Stewart4 Children may be particularly vulnerable to the negative effects of maternal CMDReference Walker, Wachs, Gardner, Lozoff, Wasserman and Pollitt1 as they are dependent on the mother for both physical and psychological needs. In HICs there have been studies indicating that the perinatal period represents a critical period for exposure to maternal CMD;Reference Hay, Asten, Mills, Kumar, Pawlby and Sharp6,Reference Carter, Garrity-Rokous, Chazan-Cohen, Little and Briggs-Gowan7 whereas others argue that recurrent exposure to adversity is more important than exposure at a specific time.Reference Brennan, Andersen, Hammen, Bor, Najman and Williams8 In LMICs, there have been short-term studies of the impact of ante- and postnatal CMD on infant growth, health and early child development,Reference Walker, Wachs, Gardner, Lozoff, Wasserman and Pollitt1,Reference Patel, DeSouza and Rodrigues9Reference Tomlinson, Cooper and Murray11 but we are not aware of any that have sought to disaggregate the effect of perinatal CMD from subsequent exposure to maternal CMD. Furthermore, few studies have investigated the impact of maternal CMD beyond infancy, so that little evidence is available to understand the longer-term impact on child educational outcomes.Reference Salt, Galler and Ramsey12,Reference Galler, Ramsey, Harrison, Taylor, Cumberbatch and Forde13

The aim of this study was to investigate the impact of perinatal (antenatal and postnatal) and preschool maternal CMD upon educational outcomes of children. We hypothesised that children exposed to maternal antenatal CMD, postnatal CMD and subsequent repeated high maternal CMD score episodes in the pre-school period would have lower school enrolment, lower academic achievement, higher absence and higher drop-out from primary school.

Method

Study design

The study was an extension of a population-based birth cohort, the Child outcomes in relation to Maternal Mental Illness in Ethiopia (C-MaMiE) study. A total of 1065 pregnant women were recruited in 2005–2006 and have been followed up, together with the index child, to date. In the current study, we examined the exposure of maternal CMD measured repeatedly since the inception of the cohort in relation to the birth date of the child. Educational outcomes of children were measured at two time points: T 1 (2013/2014 academic year, child mean age of 8.5 years (s.d. = 0.3) and T 2 (2014/2015 academic year, mean age of 9.3 years, s.d. = 0.3).

Study setting

The C-MaMiE cohort was established within the Health and Demographic Surveillance Site (HDSS)Reference Berhane, Wall, Kebede, Emmelin, Enquoselassie and Byass14 in Butajira, Gurage Zone, Southern Nations Nationalities and Peoples' Region of Ethiopia. Butajira is located 135 km south of the capital Addis Ababa, is predominantly rural and is notable for the diversity of ethnicities and languages in the population. The HDSS has nine subdistricts with different ecological zones (low and highlands) and one urban administration in Butajira town. Butajira is densely populated and livelihoods are based on mixed farming of staples, such as maize and false banana, and cash crops, such as khat and chilli peppers.

Context for education

Ethiopia is striving for complete primary education coverage, although national figures from the 2015/2016 academic year indicate that only 85.5% have enrolled currently, with 10.1% drop-out and 6.7% grade repetition.15 The official age for school enrolment is 7 years. Primary education lasts for 8 years (age group 7–14 years) with two cycles: basic (grades 1–4) and general education (grades 5–8). Families are expected to cover the costs of school uniforms, food and exercise books; otherwise, education is free for all Ethiopians.16 Except for one regional examination at the completion of grade 8, the academic performance of students is assessed by the class teacher using non-standardised tests. In the first cycle of primary education, children are taught and evaluated by a single teacher following the ‘self-contained class’ concept.16

Study participants

At the inception of the C-MaMiE cohort, a population-based sample of 1065 women was recruited out of 1234 eligible women (86.3%) meeting inclusion criteria of age between 15 and 49 years, ability to communicate in Amharic, a resident of the HDSS and in the third trimester of pregnancy. The women and the child born from the index pregnancy have been assessed repeatedly over time. Ten time-point assessments were conducted starting in pregnancy and at 2, 12, 30, 36, 42, 48, 60, 78 and 102 months of age of the child in the postnatal period, see supplementary Fig. 1 available at https://doi.org/10.1192/bjo.2019.69.

Measures

Educational outcomes

The primary educational outcomes for this study (school enrolment, absenteeism, drop-out and academic performance) were selected based on their contextual relevance, given that (a) key bottlenecks to academic success occur at the stages of school enrolment (although working towards 100% coverage, the most recent estimates of school enrolment in Ethiopia are 85.5%), regular attendance and retention in school in this setting, and (b) that regular school attendance has been shown to have important socialisation benefits, regardless of the impact on academic achievement.Reference Chen and Rice17,Reference Gottfried18 All outcomes were measured in relation to academic years rather than the birth date of the children as shown in supplementary Fig. 1. They were measured as follows.

  1. (a) Enrolment: each mother was asked whether the child had ever been enrolled in school by T 1.

  2. (b) Absenteeism: total number of days of absence was obtained from daily school attendance records at T 2.

  3. (c) School drop-out: students who had enrolled at the beginning of the academic year (September) but who had dropped out of school before the end of the academic year (June) were deemed to have dropped out; for students who were absent from school for a period of time during the school year, but who were attending school at the end of the year, the child was classed as absent and not dropped out. Children who drop-out of school can be re-enrolled and, therefore, are at risk of dropping out again in the subsequent academic year. For T 1 we obtained the information from the mother, but for T 2 we extracted the information from school records.

  4. (d) Academic achievement: the teacher-reported averaged grade point over two semesters of the Ethiopian school year and this was obtained from school records at T 2. Teacher assessments of academic achievement are composite and non-standardised, based on continuous assessment of mastery of content, class participation and interaction, conduct, homework, progress over time and school attendance.

Primary exposure

Maternal CMD

This was measured using the World Health Organization 20-item version of the Self-Reporting Questionnaire (SRQ-20) in pregnancy and at all nine postnatal time points until the child was on average 8.5 years.Reference Beusenberg and Orley19 The SRQ-20 items ask about the presence or absence of depressive, anxiety and somatic symptoms in the preceding 1 month (answered ‘yes’ or ‘no’). The SRQ-20 has been validated for perinatal women in this rural Ethiopian population.Reference Hanlon, Medhin, Alem, Araya, Abdulahi and Hughes20 Repeated high maternal CMD scores were generated as the count of time points after the 2-month postnatal time point when the woman scored ≥6.

Potential confounding factors

Measures of potential confounding factors were used from the following time points depending on the hypothesis: (a) model 1 (exposure of antenatal CMD): pregnancy time point, (b) model 2 (exposure of postnatal CMD): postnatal 2-month time point, and (c) model 3 (exposure of repeated high maternal CMD scores): 60 months postnatal time point.

Stressful life events

An adapted version of the 12 item List of Threatening ExperiencesReference Brugha, Bebbington, Tennant and Hurry21 scale was used to measure stressful life events over the pregnancy (antenatal time point) and preceding 6 months for the postnatal assessments.

Socioeconomic status

Self-report of the following proxy indicators of socioeconomic status were measured: current roof material, the experience of hunger in the preceding month because of lack of food or money, and the existence of emergency resources in times of crisis.

Paternal substance use

A report of the frequency of paternal alcohol and/or khat use was obtained from the woman.

Demographic characteristics

Literacy level of both parents, age of the mother, marital status, birth order and gender of the child were obtained from self-report of the woman.

Child nutritional status

Height measures were carried out by trained project data collectors using a stadiometer with a movable headpiece. Using the World Health Organization reference population,22 height-for-age z-scores were calculated using World Health Organization Anthro software.23

Data management

Data collection procedure

To ensure privacy, confidentiality and her preference, all interviews with the women were carried out in the woman's home or surrounding area. The project data collectors had all completed high-school education, and were experienced in conducting interviews and in the use of the study measures. At each time point, they received an additional 3 days of refresher training on the use of newly added instruments. The questionnaires were piloted before commencing data collection and discrepancies in ratings were discussed to ensure that the data collectors had a common understanding.

Maintaining data quality

Supervisors and a field coordinator monitored the data-collection process and performed quality checks on a random sample of evaluations. Data-entry clerks double entered data with EpiData version 3.124 on the day of data collection, where possible. Any identifiable information about the respondent was kept securely and separately from the assessment data and a code number was used to ensure confidentiality.

Statistical analyses

A hypothesis-driven analysis was conducted using Stata version 1225 to examine the association of maternal CMD in model 1 antenatally, and model 2 at 2 months postnatal using SRQ-20 total score, and in model 3 repeated high maternal CMD scores (as previously defined) with educational outcomes. First, we conducted unadjusted logistic regression for school non-enrolment and drop-out (binary outcomes), zero-inflated Poisson regression for absenteeism (count data, with excess zeroes) and linear regression for academic achievement (continuous, normally distributed). We then carried out two stages of multivariable analysis; first a model containing each primary exposure adjusted for all potential confounders identified a priori, and finally we ran a model containing antenatal, postnatal and repeated high CMD scores and all potential confounders at the 60-month time point in the same model. Estimates of associations were presented with their corresponding 95% confidence intervals. The study has been reported according to the STROBE reporting checklist.

Ethical considerations

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. All procedures involving human participants were approved by the Institutional Review Board of the College of Health Sciences, Addis Ababa University, Ethiopia (reference number 082/13/psy) and the Research Ethics Committee of King's College London, UK (reference number PNM/13/14-92). Written or verbal informed consent was obtained from each woman for her own and her child's participation in the study as well and to access school records of the child. Verbal consent was witnessed and formally recorded. For the anthropometric assessment assent was obtained from the child. Any woman who presented with high CMD symptoms and suicidal ideation was supported to seek care at the psychiatric unit at Butajira Hospital, with the project covering treatment and transportation costs.

Results

At the latest maternal CMD exposure time point before T 1, when the children were a mean of 6.5 years (s.d. = 0.03), a total of 830 (77.9%) mother–child dyads participated in the study. See Table 1 for characteristics of participants. At the latest exposure time point before T 2, when the children were a mean of 8.5 years (s.d. = 0.3, minimum 7.90, maximum 9.17 years), 788 (74.0%) participated in the study. Most loss to follow-up occurred early in the cohort as a result of stillbirth (n = 40), neonatal death (n = 35) and post-neonatal infant mortality (n = 48 by 12 months). A further 12 mothers and 23 children died before the age of 6.5 years. A total of 47 women had out-migrated by 6.5 years. Maternal refusal was low (n = 11) (Fig. 1).

a. Assessment time point 1. b. Assessment time point 2. c. Zero graders means a child is enrolled in school but has no formal academic records.

Fig. 1 Flow chart of Child outcomes in relation to Maternal Mental Illness in Ethiopia cohort participants.

Table 1 Summary of exposure variables at the beginning of educational follow-up

SRQ, Self-Reporting Questionnaire.

There was no significant difference between those lost to follow-up and those remaining in the study in terms of demographic, socioeconomic and mental health status. Children for whom educational information was not available did not differ significantly on maternal CMD, socioeconomic status or birth order, but were more likely to have been boys and to have been stunted growth. See supplementary Tables 1 and 2.

Maternal mental health

The median score on the SRQ (maternal CMD) was 2 (interquartile range (IQR) = 0–4) at the antenatal assessment and 1 (IQR = 0–2) at 2-months postnatal. In terms of repeated high maternal CMD scores from 12 to 102 months: 607 (73.1%) women had no high scores (≥6), 148 (17.8%), scored high at one time point and 75 (9.0%) had a high score at more than one time point. Of the 84 women who had repeated high CMD scores in the preschool period, 34.7% (n = 26) also scored high at the antenatal time point and 22.7% (n = 17) scored high at the 2-month postnatal time point.

Child education outcomes

At T 1 (2013/14 academic year), 88 children had still not enrolled in school (11.2%), and a further 122 (17.9%) had enrolled but subsequently dropped out. At T 2, during the 2014/2015 academic year, 64 children (12.1%) dropped out. The median number of days of absence was 5 (IQR = 2–11), with 82 children (17.6%) recorded as having no absence. The mean grade point was 62.6 out of 100 (s.d. = 9.5).

Association between maternal CMD and child education outcomes

Postnatal CMD (at 2 months) was associated inversely with child school non-enrolment (adjusted OR = 0.75, 95% CI 0.62–0.92) at T 1, but there was no association between antenatal or repeated high maternal CMD scores and non-enrolment.

Antenatal CMD (adjusted risk ratio (RR) = 1.06, 95% CI 1.05–1.07) and postnatal CMD (adjusted RR = 1.21, 95% CI 1.16–1.26) were independently and significantly associated with absenteeism, but there was no association between repeated high maternal CMD scores and absenteeism in the multivariable model containing antenatal and postnatal CMD. Exposure to maternal CMD at any time point was not associated with either school drop-out or the academic achievement of the child (Tables 2 and 3).

Table 2 Impact of maternal common mental disorders (CMD) on child educational outcomes at time point 1 (2013/14 academic year)

T 1, assessment time point 1; SRQ, Self-Reporting Questionnaire.

a. Repeated high maternal CMD scores from 12 to 60 and 12 to 78 months for enrolment and drop-out outcomes respectively.

b. Parental characteristics, including (maternal age, marital status, maternal and paternal level of literacy), socioeconomic status (SES), paternal substance use, negative life event, child gender, birth order and child nutritional status.

c. Parental characteristics, including (maternal age, marital status, maternal and paternal level of literacy), SES, paternal substance use, negative life event, child gender, birth order and child nutritional status, antenatal and postnatal CMD.

Bold signifies significant results at P < 0.05.

Table 3 Impact of maternal common mental disorders (CMD) on child educational outcomes at time point 2 (2014/15 academic years)

T 2, assessment time point 2; SRQ, Self-Reporting Questionnaire.

a. Repeated high maternal CMD scores from 12 to 102 months.

b. Parent's characteristics, including (maternal age, marital status, maternal and paternal level of literacy), socioeconomic status (SES), paternal substance use, negative life event, child gender, birth order and child nutritional status.

c. Parental characteristics, including (maternal age, marital status, maternal and paternal level of literacy), SES, paternal substance use, negative life event, child gender, birth order and child nutritional status, antenatal and postnatal CMD.

Bold signifies significant results at P < 0.05.

Discussion

Main findings

In this longitudinal prospective cohort study from a rural population in Ethiopia, antenatal and postnatal maternal CMD were found to have an independent significant association with school absenteeism at T 2. Exposure to repeated high maternal CMD scores in early childhood was not associated with absenteeism after adjusting for antenatal and postnatal CMD. Postnatal CMD was significantly, but inversely, associated with school non-enrolment. There was no association between exposure to maternal CMD at any time point and either academic achievement or school drop-out.

Strengths and limitations

To the best of our knowledge, this is the first population-based study from sub-Saharan Africa to have investigated the effect of perinatal CMD beyond infancy and examined the impact on educational outcomes of children. Furthermore, our study is the first of its kind from a LMIC to test the hypothesis that the perinatal period represents a critical period for exposure to maternal mental health problems. Strengths of the study are the population-based, prospective design with high follow-up rates and repeated measures of maternal CMD and confounding factors using culturally validated measures.

Nonetheless, there were also limitations. The exposure of ‘repeated high maternal CMD scores’ was generated from high scores at each assessment time point, but did not capture longitudinal exposure to maternal CMD between the time points. Absenteeism was extracted from data collected routinely by schools, which may not be accurate, although we expect that this would not lead to differential classification of students and would just reduce the power to detect an association. A teacher-reported (composite and non-standardised) measure of academic achievement was used. This composite measure may be more ecologically valid and tied to the day-to-day routine of teaching and learning than narrowly focused assessments of content mastery but this approach may increase measurement error. We were not able to adjust for child illness, although we did measure height-for-age which provides a proxy indicator of chronic ill health. We relied on proxy indicators of socioeconomic status. Although the socioeconomic status indicators have been developed for the population under study, they relied on self-report of the women and may not have been sufficiently comprehensive, thus raising the possibility of residual confounding.

Comparison with findings from other studies and interpretation of findings

Evidence for the antenatal period as a critical time for exposure to maternal CMD in terms of later child outcomes is accumulating. In a large birth cohort study from the UK, an independent and significant association was observed between maternal anxiety at a gestational age of 32 weeks and an increased risk of child hyperactivity at the age of 4 years.Reference O'Connor, Heron and Glover26 Potential mechanisms were also explored: anxiety in late pregnancy was found to be associated with hypothalamic–pituitary axis function in the child, particularly the waking cortisol level of the child, which is responsible for orchestrating the stress response and has been implicated in development of emotional disorders.Reference O'Connor, Ben-Shlomo, Heron, Golding, Adams and Glover27 In HICs, a delayed effect of antenatal maternal CMD on the temperament of child has also been found.Reference Carter, Garrity-Rokous, Chazan-Cohen, Little and Briggs-Gowan28 Our finding of a significant association between antenatal maternal CMD and later school absenteeism could, therefore, be linked with child temperament and child behavioural and emotional disorders. In support of this, we previously found an independent, prospective association between preschool child emotional and behavioural disorder and school absenteeism in an earlier analysis using an expanded C-MaMiE cohort. Further studies are required to elucidate the mechanisms mediating this association.

Our finding of a significant association between postnatal CMD and school absenteeism is supportive of the critical period hypothesis. A number of earlier studies from HICsReference Hay, Asten, Mills, Kumar, Pawlby and Sharp6,Reference Carter, Garrity-Rokous, Chazan-Cohen, Little and Briggs-Gowan7 and LMICsReference Salt, Galler and Ramsey12,Reference Patel, DeSouza and Rodrigues29,Reference Hadley, Tegegn, Tessema, Asefa and Galea30 have shown an association between postnatal maternal CMD and child development. This association appears to be mediated by effects of postnatal CMD on the infant–mother relationship, which is predicted to lead to enduring effects on the child.Reference Walker, Wachs, Gardner, Lozoff, Wasserman and Pollitt1 Maternal responsiveness to the physical and psychological needs of an infant has a vital role in the development of secure attachment between the mother and infant.Reference Carter, Garrity-Rokous, Chazan-Cohen, Little and Briggs-Gowan7,Reference Martins and Gaffan31 Maternal postnatal CMD was found to be associated with insecure attachment in a South African community-based study.Reference Tomlinson, Cooper and Murray11,Reference Martins and Gaffan31 Although adjustment for concurrent maternal sensitivity led to loss of a significant association in the South Africa study, this may reflect that postnatal depression led to changes in the mother–infant relationships that endured even when maternal depression resolved. Insecure attachment may, therefore, play a role in any enduring effect of postnatal CMD on child outcomes such as absenteeism.

Postpartum maternal CMD was found to predict lower academic performance of children in BarbadosReference Galler, Ramsey, Harrison, Taylor, Cumberbatch and Forde13 and in high-income settings;Reference Hay, Asten, Mills, Kumar, Pawlby and Sharp6 however, the result was not replicated in our study. Associations with academic performance in these previous studies have been mediated through associations between postnatal CMD and child cognitive development. However, in the Ethiopia C-MaMiE cohort we found no association between maternal CMD and child development.Reference Servili, Medhin, Hanlon, Tomlinson, Worku and Baheretibeb32 A previous study in Ethiopia also failed to replicate findings from Barbados of a specific adverse effect of early-life child malnutrition on academic performance of children in Barbados,Reference Salt, Galler and Ramsey12 with postnatal malnutrition no longer associated with later child development after current nutritional status was taken into account. Our null finding may be also because of the limitations of our measure of academic achievement, which was reliant on non-standardised teacher ratings. However, in this low-income setting, the effect of poverty on cognitive development and high maternal non-literacy may overwhelm any effects of maternal CMD. Substitute caregivers may compensate for a mother with depression and, therefore, limit the impact of maternal CMD on the child's learning environment. In contrast, absenteeism is likely to be related to more than cognitive development, also incorporating interpersonal functioning and confidence to separate from the mother, which are affected by security of attachment and may be more strongly associated with exposure to postnatal CMD.Reference Tomlinson, Cooper and Murray11

We did not find any association between exposure to repeated high maternal CMD scores in early childhood and any of the educational outcomes. This is in contrast to studies from Australia, a high-income country, where chronicity of exposure to maternal CMD was found to be associated with higher levels of child emotional and behavioural problems and lower vocabulary scores at later ages.Reference Brennan, Andersen, Hammen, Bor, Najman and Williams33 Furthermore, our finding is at odds with the conceptualisation that child development is influenced by repeated exposure to developmental adversity.Reference Walker, Wachs, Gardner, Lozoff, Wasserman and Pollitt1 Our negative finding might have arisen because fewer than 10% of women had high CMD scores at more than one postnatal time point. This indicates that most children could have experienced extended periods of their early childhood when their mother did not have high CMD symptoms. Maternal resilience to mental health problems is an important area of focus for future studies.

The lack of association between any measure of maternal CMD (antenatal, postnatal or repeated high CMD scores) and school drop-out is in contrast to the study from HICsReference Jimerson, Egeland, Sroufe and Carlson34 and our earlier report of an association between maternal CMD and school drop-out.Reference Mekonnen, Medhin, Tomlinson, Alem, Prince and Hanlon35 The most likely explanation is that we were underpowered in this current analysis, which was performed on a subsample of the extended C-MaMiE cohort for whom longitudinal data from antenatal exposure onwards were available. Furthermore, for repeated high CMD scores, we dichotomised the SRQ-20 at each time point, which may also have decreased power to detect an effect. We would expect that absenteeism would be on the pathway to drop-out and that we would see similar patterns of association with maternal CMD. The significant but inverse association between postnatal maternal CMD and child school non-enrolment was unexpected, and we do not have an explanation for this finding. It is possible that this association was observed by chance (given the small numbers of children non-enrolled in school) or was affected by other unmeasured factors. This finding requires replication and further investigation.

Implications

There is increasing research evidence of the importance of early investment in children to achieve optimal development, education and economic success. Indeed, for optimal child outcomes, the health of the mother is understood to be critical even before she is pregnant, as well as continuing through pregnancy and into the postnatal period. Our study indicates that there also needs to be a focus on maternal mental health, both in pregnancy and the early postnatal period, to optimise child educational outcomes. This has an important bearing on achievement of the Sustainable Development Goal seeking to achieve quality education for all children (goal 4).

In a LMIC, regular school attendance is not just the best way to learn, but frequently the only way to learn the taught topics, as there are limited learning resources at home or in the community to compensate for missed classes. For programmes aimed at enhancing regular school attendance, our study indicates that the perinatal mental health of women needs to be optimised. The high rates of health service contact of antenatal women provides an opportunity for intervention. The World Health Organization Mental health Gap Action Programme and other initiatives to task-share mental healthcare36 seek to equip maternal and primary healthcare workers to detect and treat CMD and other priority mental disorders. The Mental health Gap Action Programme intervention guide emphasises the importance of enhancing social support networks and addressing social stressors to address mental health problems, alongside evidence-based interventions. There is accumulating evidence for the efficacy of psychosocial interventions delivered by non-specialists to women with perinatal CMD, although most studies are from well-resourced settings in middle-income settings and none have examined the impact on child educational outcomes.Reference Clarke, King and Prost37

In conclusion, our findings support the hypothesis of a critical period exposure to maternal CMD for adverse child outcomes, although further definitive evidence is required. Our findings indicate that programmes aimed at enhancing regular school attendance need to address maternal CMD from pregnancy onwards.

Funding

The study was supported by the Wellcome Trust (project grant: 093559). H.M. is supported through a post-doctoral fellowship awarded as part of the Africa Mental Health Research Initiative (AMARI) within the DELTAS Africa Initiative [DEL-15-01]. C.H. receives salary support from the same DELTAS Africa Initiative [DEL-15-01]. The DELTAS Africa Initiative is an independent funding scheme of the African Academy of Sciences (AAS) Alliance for Accelerating Excellence in Science in Africa (AESA) and supported by the New Partnership for Africa’s Development Planning and Coordinating Agency (NEPAD Agency) with funding from the Wellcome Trust [DEL-15-01] and the UK government. The views expressed in this publication are those of the author(s) and not necessarily those of AAS, NEPAD Agency, Wellcome Trust or the UK government. C.H. is funded by the National Institute of Health Research (NIHR) Global Health Research Unit on Health System Strengthening in Sub-Saharan Africa, King’s College London (GHRU 16/136/54) using UK aid from the UK government. The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

Acknowledgements

We would like to thank the women who took part in the study, at the expense of their energy and time to complete interviews, and to the staff in the schools who facilitated the data-collection process. Our thanks also go to the project data collectors and staff of the C-MaMiE project in Butajira. The data are being used for a PhD student (H.M.) for his thesis and are not, therefore, available at the present time to the general public. The data may be requested from the corresponding author for verification of the analyses in this paper.

The publication of this paper is supported by a grant from The Royal College of Psychiatrists Academic Freedom Fund established by Kenneth R. Kaufman, MDFRCPsych. For further details about the fund please visit: https://www.cambridge.org/core/journals/bjpsych-open/information/instructions-contributors.

Supplementary material

Supplementary material is available online at http://doi.org/10.1192/bjo.2019.69

References

1Walker, S, Wachs, T, Gardner, J, Lozoff, B, Wasserman, G, Pollitt, E, et al. Child development: risk factors for adverse outcomes in developing countries. Lancet 2007; 369: 145–57.Google Scholar
2Goodman, HS. Depression in mothers. Annu Rev Clin Psychol 2007; 3: 107–35.Google Scholar
3Estrin, GL, Ryan, EG, Trevillion, K, Demilew, J, Bick, D, Pickles, A, et al. Young pregnant women and risk for mental disorders: findings from an early pregnancy cohort. BJPsych Open 2019; 5(2): e21.Google Scholar
4Grace, S, Evindar, A, Stewart, D. The effect of postpartum depression on child cognitive development and behavior: a review and critical analysis of the literature. Arch Womens Ment Health 2003; 6: 263–74.Google Scholar
5Fisher, J, Cabral de Mello, M, Patel, V, Rahman, A, Tran, T, Holton, S, et al. Prevalence and determinants of common perinatal mental disorders in women in low- and lower-middle-income countries: a systematic review. Bull World Health Organ 2012; 90: 139–49.Google Scholar
6Hay, DF, Asten, P, Mills, A, Kumar, R, Pawlby, S, Sharp, D. Intellectual problems shown by 11-year-old children whose mothers had postnatal depression. J Child Psychol Psychiatry 2001; 42: 871–89.Google Scholar
7Carter, SA, Garrity-Rokous, EF, Chazan-Cohen, R, Little, C, Briggs-Gowan, JM. Maternal depression and comorbidity: predicting early parenting, attachment security, and toddler social-emotional problems and competencies. J Am Acad Child Adolesc Psychiatry 2001; 40: 1826.Google Scholar
8Brennan, AP, Andersen, JM, Hammen, C, Bor, W, Najman, MJ, Williams, MG. Chronicity, severity, and timing of maternal depressive symptoms: relationships with child outcomes at age 5. Dev Psychol 2000; 36: 759–66.Google Scholar
9Patel, V, DeSouza, N, Rodrigues, M. Postnatal depression and infant growth and development in low income countries: a cohort study from Goa, India. Arch Dis Child 2003; 88: 34–7.Google Scholar
10Servili, C, Medhin, G, Hanlon, C, Tomlinson, M, Worku, B, Baheretibe, Y, et al. Maternal common mental disorders and infant development in Ethiopia: the P-MaMiE Birth Cohort. BMC Public Health 2010; 10: 693.Google Scholar
11Tomlinson, M, Cooper, P, Murray, L. The mother–infant relationship and infant attachment in a South African peri-urban settlement. Child Dev 2005; 76: 1044–54.Google Scholar
12Salt, P, Galler, JR, Ramsey, CF. The influence of early malnutrition on subsequent behavioural development. VII. The effect of maternal depressive symptoms. Dev Behav Pedatrics 1988; 9: 15.Google Scholar
13Galler, RJ, Ramsey, CF, Harrison, HR, Taylor, J, Cumberbatch, G, Forde, V. Postpartum maternal moods and infant size predict performance on a national high school entrance examination. J Child Psychol Psychiatry 2004; 45: 1064–75.Google Scholar
14Berhane, Y, Wall, S, Kebede, D, Emmelin, A, Enquoselassie, F, Byass, P, et al. Establishing an epidemiological field laboratory in rural areas - potentials for public health research and interventions (Special Issue). Ethiop J Health Dev 1999; 13: 147.Google Scholar
15Federal Democratic Government of Ethiopia Ministry of Education. Education Statistics 2008 E.C. (2015/2016). MoE, EMIS and ICT Directorate, 2017.Google Scholar
16Ministry of Education. The Education and Training Policy and its Implementation. Ministry of Education, 2002.Google Scholar
17Chen, P, Rice, C. Showing up Matters: Newark Chronic Absenteeism in the Early Years. Advocates for Children of New Jersey, 2016.Google Scholar
18Gottfried, MA. The detrimental effects of missing school: evidence from urban siblings. Am J Educ 2011; 117: 147–82.Google Scholar
19Beusenberg, M, Orley, J. A User's Guide to the Self Reporting Questionnaire (SRQ). World Health Organization, 1994.Google Scholar
20Hanlon, C, Medhin, G, Alem, A, Araya, M, Abdulahi, A, Hughes, M, et al. Detecting perinatal common mental disorders in Ethiopia: validation of the self-reporting questionnaire and Edinburgh Postnatal Depression Scale. J Affect Disorders 2008; 108: 251–62.Google Scholar
21Brugha, TS, Bebbington, PE, Tennant, C, Hurry, J. The list of threatening experiences: a subset of 12 life event categories with considerable long-term contextual threat. Psychol Med 1985; 15: 189–94.Google Scholar
22World Health Organization. Physical Status: The Use and Interpretation of Anthropometry. Technical report series No. 854. WHO, 1995.Google Scholar
23World Health Organization. Anthro Software Version 3.2.2. WHO, 2011 (http://wwwwhoint/childgrowth/software/en/).Google Scholar
24Epidata. Epidata (Version 3.1): A Comprehensive Tool for Validated Entry and Documentation of Data. [Program] (3rd edn). The Epidata Association, 2003.Google Scholar
25Stata C. Stata Statistical Software Release 12. Stata Corporation, 2007.Google Scholar
26O'Connor, GT, Heron, J, Glover, V. Antenatal anxiety predicts child behavioral/emotional problems independently of postnatal depression. Acad Child Adolesc Psychiatry 2002; 41: 1470–7.Google Scholar
27O'Connor, TG, Ben-Shlomo, Y, Heron, J, Golding, J, Adams, D, Glover, V. Prenatal anxiety predicts individual differences in cortisol in pre-adolescent children. Biol Psychiatry 2005; 58: 211–7.Google Scholar
28Carter, SA, Garrity-Rokous, EF, Chazan-Cohen, R, Little, C, Briggs-Gowan, JM. Maternal depression and comorbidity: predicting early parenting, attachment security, and toddler social-emotional problems and competencies. J Am Acad Child Adolesc Psychiatry 2001; 40: 1826.Google Scholar
29Patel, V, DeSouza, N, Rodrigues, M. Postnatal depression and infant growth and development in low income countries: a cohort study from Goa, India. Arch Dis Child 2003; 88: 34–7.Google Scholar
30Hadley, C, Tegegn, A, Tessema, F, Asefa, M, Galea, S. Parental symptoms of common mental disorders and children's social, motor, and language development in sub-Saharan Africa. Ann Hum Biol 2008; 35: 259–75.Google Scholar
31Martins, C, Gaffan, EA. Effects of early maternal depression on patterns of infant–mother attachment: a meta-analytic investigation. J Child Psychol Psychiatry 2000; 41: 737–46.Google Scholar
32Servili, C, Medhin, G, Hanlon, C, Tomlinson, M, Worku, B, Baheretibeb, Y, et al. Maternal common mental disorders and infant development in Ethiopia: the P-MaMiE Birth Cohort. BMC Public Health 2010; 10: 693.Google Scholar
33Brennan, AP, Andersen, JM, Hammen, C, Bor, W, Najman, MJ, Williams, MG. Chronicity, severity, and timing of maternal depressive symptoms: relationships with child outcomes at age 5. Dev Psychol 2000; 36: 759–66.Google Scholar
34Jimerson, S, Egeland, B, Sroufe, AL, Carlson, B. A prospective longitudinal study of high school dropouts examining multiple predictors across development. J School Psychol 2000; 38: 525–49.Google Scholar
35Mekonnen, H, Medhin, G, Tomlinson, M, Alem, A, Prince, M, Hanlon, C. Impact of maternal common mental disorders on child educational outcomes at 7 and 9 years: a population-based cohort study in Ethiopia. BMJ Open 2018; 8: e018916.Google Scholar
36World Health Organization. Mental Health Gap Action Programme (mhGAP): Scaling up Care for Mental, Neurological, and Substance Use Disorders. WHO, 2008.Google Scholar
37Clarke, K, King, M, Prost, A. Psychosocial interventions for perinatal common mental disorders delivered by providers who are not mental health specialists in low-and middle-income countries: a systematic review and meta-analysis. PLoS Med 2013; 10: e1001541.Google Scholar
Figure 0

Fig. 1 Flow chart of Child outcomes in relation to Maternal Mental Illness in Ethiopia cohort participants.

a. Assessment time point 1. b. Assessment time point 2. c. Zero graders means a child is enrolled in school but has no formal academic records.
Figure 1

Table 1 Summary of exposure variables at the beginning of educational follow-up

Figure 2

Table 2 Impact of maternal common mental disorders (CMD) on child educational outcomes at time point 1 (2013/14 academic year)

Figure 3

Table 3 Impact of maternal common mental disorders (CMD) on child educational outcomes at time point 2 (2014/15 academic years)

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