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      Risk and protective factors for child development: An observational South African birth cohort

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          Abstract

          Background

          Approximately 250 million (43%) children under the age of 5 years in low- and middle-income countries (LMICs) are failing to meet their developmental potential. Risk factors are recognised to contribute to this loss of human potential. Expanding understanding of the risks that lead to poor outcomes and which protective factors contribute to resilience in children may be critical to improving disparities.

          Methods and findings

          The Drakenstein Child Health Study is a population-based birth cohort in the Western Cape, South Africa. Pregnant women were enrolled between 20 and 28 weeks’ gestation from two community clinics from 2012 to 2015; sociodemographic and psychosocial data were collected antenatally. Mothers and children were followed through birth until 2 years of age. Developmental assessments were conducted by trained assessors blinded to background, using the Bayley-III Scales of Infant and Toddler Development (BSID-III), validated for use in South Africa, at 24 months of age. The study assessed all available children at 24 months; however, some children were not able to attend, because of loss to follow-up or unavailability of a caregiver or child at the correct age. Of 1,143 live births, 1,002 were in follow-up at 24 months, and a total of 734 children (73%) had developmental assessments, of which 354 (48.2%) were girls. This sample was characterised by low household employment ( n = 183; 24.9%) and household income ( n = 287; 39.1% earning <R1,000 per month), and high prevalence of maternal psychosocial risk factors including alcohol use in pregnancy ( n = 95; 14.5%), smoking ( n = 241; 34.7%), depression ( n = 156; 23.7%), lifetime intimate partner violence ( n = 310; 47.3%), and history of maternal childhood trauma ( n = 228; 34.7%). A high proportion of children were categorised as delayed (defined by scoring < −1 standard deviation below the mean scaled score calculated using the BSID-III norms from a United States population) in different domains (369 [50.5%] cognition, 402 [55.6%] receptive language, 389 [55.4%] expressive language, 169 [23.2%] fine motor, and 267 [38.4%] gross motor). Four hundred five (55.3%) children had >1 domain affected, and 75 (10.2%) had delay in all domains. Bivariate and multivariable analyses revealed several factors that were associated with developmental outcomes. These included protective factors (maternal education, higher birth weight, and socioeconomic status) and risk factors (maternal anaemia in pregnancy, depression or lifetime intimate partner violence, and maternal HIV infection). Boys consistently performed worse than girls (in cognition [β = −0.74; 95% CI −1.46 to −0.03, p = 0.042], receptive language [β = −1.10; 95% CI −1.70 to −0.49, p < 0.001], expressive language [β = −1.65; 95% CI −2.46 to −0.84, p < 0.001], and fine motor [β = −0.70; 95% CI −1.20 to −0.20, p = 0.006] scales). There was evidence that child sex interacted with risk and protective factors including birth weight, maternal anaemia in pregnancy, and socioeconomic factors. Important limitations of the study include attrition of sample from birth to assessment age and missing data in some exposure areas from those assessed.

          Conclusions

          This study provides reliable developmental data from a sub-Saharan African setting in a well-characterised sample of mother–child dyads. Our findings highlight not only the important protective effects of maternal education, birth weight, and socioeconomic status for developmental outcomes but also sex differences in developmental outcomes and key risk and protective factors for each group.

          Abstract

          Kirsten Ann Donald and colleagues reveal the protective effects of birth weight, mother's education, and socioeconomic status in a child's development in South Africa.

          Author summary

          Why was this study done?
          • Child development in early childhood lays a foundation for lifelong learning.

          • Risk and protective factors for child development are known to include many issues faced by children growing up in low- and middle-income countries.

          • Studies indicate a difference between boys and girls in terms of impact of factors influencing development, but these have not been evaluated in a sub-Saharan African context.

          What did the researchers do and find?
          • We assessed child development at 2 years of 734 children in the Drakenstein Child Health Study, Western Cape, South Africa.

          • We assessed potential risk and protective factors identified from prior literature to impact child development.

          • We found a number of important risk factors that contributed to poor developmental outcomes in children in this cohort.

          What do these findings mean?
          • Boys appear to be at higher risk of poor developmental performance in a high-risk environment.

          • Key protective factors include mothers having at least some secondary school education, better home circumstances, and healthy birth weight, and key risk factors include maternal anaemia in pregnancy, poor maternal health (such as HIV), and maternal mental health problems.

          • Child sex interacts with the associations between key protective and risk factors and developmental outcomes.

          • Understanding the related and interacting roles of factors reported in this study may inform integrated intervention policy design and implementation for supporting development in high-risk environments.

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          Most cited references35

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          Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale.

          The development of a 10-item self-report scale (EPDS) to screen for Postnatal Depression in the community is described. After extensive pilot interviews a validation study was carried out on 84 mothers using the Research Diagnostic Criteria for depressive illness obtained from Goldberg's Standardised Psychiatric Interview. The EPDS was found to have satisfactory sensitivity and specificity, and was also sensitive to change in the severity of depression over time. The scale can be completed in about 5 minutes and has a simple method of scoring. The use of the EPDS in the secondary prevention of Postnatal Depression is discussed.
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            Cumulative risk and child development.

            Childhood multiple risk factor exposure exceeds the adverse developmental impacts of singular exposures. Multiple risk factor exposure may also explain why sociodemographic variables (e.g., poverty) can have adverse consequences. Most research on multiple risk factor exposure has relied upon cumulative risk (CR) as the measure of multiple risk. CR is constructed by dichotomizing each risk factor exposure (0 = no risk; 1 = risk) and then summing the dichotomous scores. Despite its widespread use in developmental psychology and elsewhere, CR has several shortcomings: Risk is designated arbitrarily; data on risk intensity are lost; and the index is additive, precluding the possibility of statistical interactions between risk factors. On the other hand, theoretically more compelling multiple risk metrics prove untenable because of low statistical power, extreme higher order interaction terms, low robustness, and collinearity among risk factors. CR multiple risk metrics are parsimonious, are statistically sensitive even with small samples, and make no assumptions about the relative strengths of multiple risk factors or their collinearity. CR also fits well with underlying theoretical models (e.g., Bronfenbrenner's, 1979, bioecological model; McEwen's, 1998, allostasis model of chronic stress; and Ellis, Figueredo, Brumbach, & Schlomer's, 2009, developmental evolutionary theory) concerning why multiple risk factor exposure is more harmful than singular risk exposure. We review the child CR literature, comparing CR to alternative multiple risk measurement models. We also discuss strengths and weaknesses of developmental CR research, offering analytic and theoretical suggestions to strengthen this growing area of scholarship. Finally, we highlight intervention and policy implications of CR and child development research and theory. © 2013 American Psychological Association
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              Screening for depression during pregnancy with the edinburgh depression scale (EDDS)

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                Author and article information

                Contributors
                Role: ConceptualizationRole: InvestigationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                27 September 2019
                September 2019
                : 16
                : 9
                : e1002920
                Affiliations
                [1 ] Department of Paediatrics and Child Health, Red Cross War Memorial Children’s Hospital and University of Cape Town, Cape Town, South Africa
                [2 ] Neuroscience Institute, University of Cape Town, Cape Town, South Africa
                [3 ] Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
                [4 ] Unit on Child and Adolescent Health, South African Medical Research Council (SAMRC), Cape Town, South Africa
                [5 ] Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
                [6 ] Department of Psychiatry and Mental Health, University of Cape Town, South Africa
                [7 ] Unit on Risk and Resilience in Mental Disorders, South African Medical Research Council (SAMRC), Cape Town, Cape Town, South Africa
                University College London, UNITED KINGDOM
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-0276-9660
                http://orcid.org/0000-0002-4887-1644
                http://orcid.org/0000-0003-1144-7038
                http://orcid.org/0000-0001-9967-5822
                http://orcid.org/0000-0003-1704-5208
                http://orcid.org/0000-0002-7269-1416
                http://orcid.org/0000-0002-9046-759X
                Article
                PMEDICINE-D-19-00678
                10.1371/journal.pmed.1002920
                6764658
                31560687
                9ab52ff8-aa76-4138-8752-2ca954932c17
                © 2019 Donald et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 February 2019
                : 23 August 2019
                Page count
                Figures: 2, Tables: 3, Pages: 20
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP 1017641
                Award Recipient :
                Funded by: Academy of Medical Sciences Newton Advanced Fellowship
                Award ID: NAF002\1001
                Award Recipient :
                Funded by: NIAAA
                Award ID: R21AA023887
                Award Recipient :
                Funded by: Collaborative Initiative on Fetal Alcohol Spectrum Disorders
                Award ID: U24 AA014811
                Award Recipient :
                Funded by: US Brain and Behaviour Foundation Independent Investigator grant
                Award ID: 24467
                Award Recipient :
                Funded by: Wellcome Trust
                Award ID: 203525/Z/16/Z
                Award Recipient :
                Funded by: MRC/DFID
                Award ID: K01216/1
                Award Recipient :
                Funded by: Medical Research Foundation (ZA)
                Award ID: National Health Scholars scheme
                Award Recipient :
                Funded by: European Union
                Award ID: EDCTP2
                Award Recipient :
                The study was funded by the Bill and Melinda Gates Foundation (OPP 1017641). Additional support for HJZ, DJS, and NK was provided by the MRC of South Africa. Additional aspects of the work reported here are supported by the South African NRF and MRC, by an Academy of Medical Sciences Newton Advanced Fellowship (NAF002\1001), funded by the UK Government’s Newton Fund, by NIAAA via (R21AA023887) and by the Collaborative Initiative on Fetal Alcohol Spectrum Disorders (CIFASD) developmental grant (U24 AA014811), by the US Brain and Behavior Foundation Independent Investigator grant (24467). AMR was supported in part by a grant from the Medical Research Council (MRC) and the Department for International Development (DFID UK) under the MRC/DFID Concordat (K012126/1) and is also part of the EDCTP2 programme supported by the European Union. WB is supported by the SAMRC National Health Scholars programme, NK is supported by the SAMRC under a Self-Initiated Research Grant, and CJW is supported by the Wellcome Trust through a Research Training Fellowship (203525/Z/16/Z). No funding bodies had any role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
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