Literature DB >> 31070839

The relationship between multidimensional economic well-being and children's mental health, physical health, and executive function development in South Africa.

Ashley Turbeville1, J Lawrence Aber2, Sharon L Weinberg1, Linda Richter3, Alastair van Heerden3,4.   

Abstract

Conceptualizing both economic well-being (EWB) and children's development as multidimensional constructs, the present study examines their association using bioecological developmental theory and structural equation modeling with Zulu children (ages 7-10) in KwaZulu-Natal, a highly impoverished region of South Africa (N = 1,958). Relative EWB within impoverished communities consists of three dimensions: material assets (durable goods and living environment), fiscal appraisal (subjective experiences of access to/allocation of resources), and fiscal capacity (monetary inflow/outflow). Children's development also is measured across multiple dimensions: physical health, mental health, and executive functioning. In addition to an overall association between EWB and children's development across outcomes, the sub-dimensions of EWB are differentially related to aspects of children's development. The dimension of material assets exhibits the greatest association with child outcomes, while fiscal capacity exhibits the least. Implications of these findings are discussed, including the use of multidimensional approaches to measuring EWB to understand, more clearly, its relationship to multiple dimensions of children's development. A video abstract of this article can be viewed at https://www.youtube.com/watch?v=ZcawZ6oOt-Q.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  South Africa; bioecological framework; child executive functioning; child mental health; child physical health; child poverty

Mesh:

Year:  2019        PMID: 31070839      PMCID: PMC6713591          DOI: 10.1111/desc.12846

Source DB:  PubMed          Journal:  Dev Sci        ISSN: 1363-755X


  40 in total

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2.  Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten.

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3.  Are students in public high schools in South Africa physically active? Outcome of the 1st South African National Youth Risk Behaviour Survey.

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Review 4.  Depressed mothers as informants about their children: a critical review of the evidence for distortion.

Authors:  J E Richters
Journal:  Psychol Bull       Date:  1992-11       Impact factor: 17.737

5.  Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  1995

6.  The relationship between socio-economic status and physical activity patterns in South African children.

Authors:  J A McVeigh; S A Norris; T de Wet
Journal:  Acta Paediatr       Date:  2004-07       Impact factor: 2.299

7.  Poverty and psychological health among AIDS-orphaned children in Cape Town, South Africa.

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Journal:  AIDS Care       Date:  2009-06

Review 8.  The effects of poverty on the mental, emotional, and behavioral health of children and youth: implications for prevention.

Authors:  Hirokazu Yoshikawa; J Lawrence Aber; William R Beardslee
Journal:  Am Psychol       Date:  2012 May-Jun

9.  HealthKick: a nutrition and physical activity intervention for primary schools in low-income settings.

Authors:  Catherine E Draper; Anniza de Villiers; Estelle V Lambert; Jean Fourie; Jillian Hill; Lucinda Dalais; Zulfa Abrahams; Nelia P Steyn
Journal:  BMC Public Health       Date:  2010-07-06       Impact factor: 3.295

10.  Factors influencing agreement between child self-report and parent proxy-reports on the Pediatric Quality of Life Inventory 4.0 (PedsQL) generic core scales.

Authors:  Joanne Cremeens; Christine Eiser; Mark Blades
Journal:  Health Qual Life Outcomes       Date:  2006-08-30       Impact factor: 3.186

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