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      How does perinatal maternal mental health explain early social inequalities in child behavioural and emotional problems? Findings from the Wirral Child Health and Development Study

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          Abstract

          Background

          This study aimed to assess how maternal mental health mediates the association between childhood socio-economic conditions at birth and subsequent child behavioural and emotional problem scores.

          Methods

          Analysis of the Wirral Child Health and Development Study (WCHADS), a prospective epidemiological longitudinal study of the early origins of child mental health (n = 664). Household income at 20-weeks gestation, a measure of socio-economic conditions (SECs) in pregnancy, was the main exposure. The outcome measure was externalising and internalising problems, as measured by the Child Behaviour Checklist at 5 years. We assessed the association of household income with child behavioural outcomes in sequential linear models adjusting for maternal mental health in the pre- and post- natal period.

          Results

          Children of mothers in more disadvantaged households had higher scores for externalising behaviour with a difference of 3.6 points comparing the most affluent to the most disadvantaged families (the socio-economic (SEC) gap). In our regression model adjusting for baseline confounders, comparing children of mothers in the most disadvantaged households to the least disadvantaged, we found that most disadvantaged children scored 45 percentage points (95% CI 9, 93) higher for externalising problems, and 42% of this difference was explained in the fully adjusted model. Adjusting for prenatal maternal depressive symptomology attenuated the SEC gap in externalising problems by about a third, rendering the association non-significant, whilst adjusting for pre- and post-natal maternal mental health attenuated the SEC gap by 42%. There was no significant relationship between household income and internalising problems.

          Conclusion

          Social disadvantage is associated with higher child externalising behaviour problems score at age 5, and about 40% of this was explained by maternal perinatal mental health. Policies supporting maternal mental health in pregnancy are important to address the early emergence of inequalities in child mental health.

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          Most cited references24

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          The impact of postnatal depression on infant development.

          L. Murray (1992)
          A large sample of primiparous women was screened for depression after childbirth. Those identified as depressed, women with a previous history of depression and a control group were followed up to 18 months, when their infants were assessed on measures of cognitive, social and behavioral development. Infants of postnatally depressed mothers performed worse on object concept tasks, were more insecurely attached to their mothers and showed more mild behavioural difficulties. Postnatal depression had no effect on general cognitive and language development, but appeared to make infants more vulnerable to adverse effects of lower social class and male gender.
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            Socioeconomic status and children's mental health: results from the Bergen Child Study.

            It is generally accepted that mental health problems are unequally distributed across population strata defined by socioeconomic status (SES), with more problems for those with lower SES. However, studies of this association in children and adolescents are often restricted by the use of global measures of mental health problems and aggregation of SES-indicators. We aim to further elucidate the relationship between childhood mental health problems and SES by including more detailed information about mental health and individual SES-indicators. The participants (N = 5,781, age 11-13) were part of the Bergen Child Study (BCS). Mental health was assessed using the teacher, parent and self-report versions of the Strengths and Difficulties Questionnaire (SDQ), including an impact section, used to measure symptom dimensions and probability of psychiatric disorders. Parent reports of family economy and parental education were used as SES measures. For each SES indicator we confirmed an inverse relationship across all the symptom dimensions. Poor family economy consistently predicted mental health problems, while parental education level predicted externalizing disorders stronger than internalizing disorders. In this Norwegian sample of children, family economy was a significant predictor of mental health problems as measured across a wide range of symptom dimensions and poor economy predicted a high probability of a psychiatric disorder. Longitudinal studies of the impact of low family income as well as other SES factors on externalizing and internalizing symptom dimensions and disorders are called for.
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              Pathways to inequalities in child health

              From birth, children living in disadvantaged socioeconomic circumstances (SECs) suffer from worse health than their more advantaged peers. The pathways through which SECs influence children’s health are complex and inter-related, but in general are driven by differences in the distribution of power and resources that determine the economic, material and psychosocial conditions in which children grow up. A better understanding of why children from more disadvantaged backgrounds have worse health and how interventions work, for whom and in what contexts, will help to reduce these unfair differences. Macro-level change is also required, including the reduction of child poverty through improved social security systems and employment opportunities, and continued investment in high-quality and accessible services (eg, childcare, key workers, children’s centres and healthy school environments). Child health professionals can play a crucial role by being mindful of the social determinants of health in their daily practice, and through advocating for more equitable and child-focussed resource allocation.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                24 May 2019
                2019
                : 14
                : 5
                : e0217342
                Affiliations
                [1 ] Department of Public Health and Policy, Farr Institute, University of Liverpool, Liverpool, United Kingdom
                [2 ] Department of Psychological Sciences, University of Liverpool, Liverpool, United Kingdom
                [3 ] School of Psychology & Clinical Language Sciences, University of Reading, Reading, United Kingdom
                [4 ] Biostatistics Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
                University of North Carolina at Chapel Hill, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-3909-1934
                Article
                PONE-D-18-30849
                10.1371/journal.pone.0217342
                6534344
                31125387
                731d228a-ade9-4140-9f44-17d70be3047d
                © 2019 Rutherford 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
                : 25 October 2018
                : 10 May 2019
                Page count
                Figures: 2, Tables: 3, Pages: 14
                Funding
                CR is funded by The National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care North West Coast (NIHR CLAHRC NWC). WCHADS is funded by grants from the UK Medical Research Council (G0900654; G0400577). DTR is funded by the MRC on a Clinician Scientist Fellowship (MR/P008577/1). The views expressed here are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Biology and Life Sciences
                Psychology
                Behavior
                Social Sciences
                Psychology
                Behavior
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Child Psychiatry
                Biology and Life Sciences
                Psychology
                Emotions
                Social Sciences
                Psychology
                Emotions
                People and Places
                Population Groupings
                Age Groups
                Children
                People and Places
                Population Groupings
                Families
                Children
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                Child and Adolescent Health Policy
                Custom metadata
                Data used for this submission will be made available on request to the Executive Committee ( first.steps@ 123456liverpool.ac.uk ). The WCHADS data management plan (available on request) describes in detail the policy regarding data sharing, which is through approved collaborative and protected access facilitated by the WCHADS research team, in line with original ethical permissions. The data underlying the results presented in the study are available from ( https://www.liverpool.ac.uk/psychology-health-and-society/departments/psychological-sciences/research/first-steps/for-researchers/). Proposals to access the dataset should be requested as outlined in the Wirral Child Health and Development Study Data Access Policy document. All proposals are reviewed by the WCHADS Executive Committee.

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                Uncategorized

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