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      Mediating pathways in the socio-economic gradient of child development : Evidence from children 6–42 months in Bogota

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          Abstract

          Research has previously shown a gap of near 0.5 of a standard deviation (SD) in cognition and language development between the top and bottom household wealth quartile in children aged 6–42 months in a large representative sample of low- and middle-income families in Bogota, using the Bayley Scales of Infant and Toddler Development. The gaps in fine motor and socio-emotional development were about half that size. Developmental deficits increased with age. The current study explored the associations amongst child development, household socio-economic status (SES), and a set of potential mediating variables—parental characteristics, child biomedical factors, and the quality of the home environment—in this sample. We ran mediation tests to quantify the contribution of these variables to the SES gap, and explored the role of age as a moderator. Parental education, particularly maternal education, and the quality of the home environment mediated the SES gap in all outcomes examined. Height-for-age mediated a small amount of the deficit in language scales only. More educated mothers provided better home stimulation than less educated mothers and the home environment partly mediated the effect of maternal education. These results suggested that in interventions aimed at promoting child development, those focusing on the quality of the home environment should be effective.

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          Most cited references23

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          A comparison of methods to test mediation and other intervening variable effects.

          A Monte Carlo study compared 14 methods to test the statistical significance of the intervening variable effect. An intervening variable (mediator) transmits the effect of an independent variable to a dependent variable. The commonly used R. M. Baron and D. A. Kenny (1986) approach has low statistical power. Two methods based on the distribution of the product and 2 difference-in-coefficients methods have the most accurate Type I error rates and greatest statistical power except in 1 important case in which Type I error rates are too high. The best balance of Type I error and statistical power across all cases is the test of the joint significance of the two effects comprising the intervening variable effect.
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            A Simulation Study of Mediated Effect Measures.

            Analytical solutions for point and variance estimators of the mediated effect, the ratio of the mediated to the direct effect, and the proportion of the total effect that is mediated were studied with statistical simulations. We compared several approximate solutions based on the multivariate delta method and second order Taylor series expansions to the empirical standard deviation of each estimator and theoretical standard error when available. The simulations consisted of 500 replications of three normally distributed variables for eight sample sizes (N = 10, 25, 50, 100, 500, 1000, and 5000) and 64 parameter value combinations. The different solutions for the standard error of the indirect effect were very similar for sample sizes of at least 50, except when the independent variable was dichotomized. A sample size of at least 500 was needed for accurate point and variance estimates of the proportion mediated. The point and variance estimates of the ratio of the mediated to nonmediated effect did not stabilize until the sample size was 2,000 for the all continuous variable case. Implications for the estimation of mediated effects in experimental and nonexperimental studies are discussed.
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              Inequality in early childhood: risk and protective factors for early child development.

              Inequality between and within populations has origins in adverse early experiences. Developmental neuroscience shows how early biological and psychosocial experiences affect brain development. We previously identified inadequate cognitive stimulation, stunting, iodine deficiency, and iron-deficiency anaemia as key risks that prevent millions of young children from attaining their developmental potential. Recent research emphasises the importance of these risks, strengthens the evidence for other risk factors including intrauterine growth restriction, malaria, lead exposure, HIV infection, maternal depression, institutionalisation, and exposure to societal violence, and identifies protective factors such as breastfeeding and maternal education. Evidence on risks resulting from prenatal maternal nutrition, maternal stress, and families affected with HIV is emerging. Interventions are urgently needed to reduce children's risk exposure and to promote development in affected children. Our goal is to provide information to help the setting of priorities for early child development programmes and policies to benefit the world's poorest children and reduce persistent inequalities. Copyright © 2011 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Int J Behav Dev
                Int J Behav Dev
                JBD
                spjbd
                International Journal of Behavioral Development
                SAGE Publications (Sage UK: London, England )
                0165-0254
                1464-0651
                17 June 2016
                November 2016
                : 40
                : 6
                : 483-491
                Affiliations
                [1 ]Institute for Fiscal Studies, London, UK
                [2 ]Inter-American Development Bank, Washington DC, USA
                [3 ]University College London, London, UK
                [4 ]Institute of Child Health, London, UK
                Author notes
                [*]Marta Rubio-Codina, Institute for Fiscal Studies, 7 Ridgmount Street, London, WC1E 7AE, UK. Email: marta_r@ 123456ifs.org.uk
                Article
                10.1177_0165025415626515
                10.1177/0165025415626515
                5102093
                27885311
                3b41ba06-d034-4fd2-8638-defa7a20f16d
                © The Author(s) 2016

                This article is distributed under the terms of the Creative Commons Attribution 3.0 License ( http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

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                Categories
                Special Section: Mediators and pathways underlying the impact of economic inequality on children’s development

                socio-economic gap,early childhood development,parental education,home environment

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