Neighbourhood and family influences on the cognitive ability of children in the British National Child Development Study

McCulloch, Andrew; Joshi, Heather

doi:10.1016/s0277-9536(00)00362-2

Cited by 127 publications

(86 citation statements)

References 29 publications

(26 reference statements)

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“…There is a consistent evidence that SES is associated with breakfast eating, with children from higher SES backgrounds more likely to regularly eat breakfast than children from lower SES backgrounds, an effect which is consistent across gender and age (Delva et al, 2006;Moore et al, 2007;Doku et al, 2011;Hallström et al, 2011Hallström et al, , 2012Overby et al, 2011). Similarly, there is well established consistent evidence that SES is a central determinant of academic performance and cognitive ability (Brooks-Gunn and Duncan, 1997;McLoyd, 1998;McCulloch and Joshi, 2001;Machin and Vignoles, 2004). However, some studies failed to adequately adjust for SES in their analysis or used various proxy measures of SES which may be inadequate.…”

Section: Methodological Issuesmentioning

confidence: 86%

Dietary Intake and Plasma Levels of Choline and Betaine in Children with Autism Spectrum Disorders

Adolphus¹,

Lawton²,

Dye³

2015

Prenatal and Childhood Nutrition

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Breakfast consumption is associated with positive outcomes for diet quality, micronutrient intake, weight status and lifestyle factors. Breakfast has been suggested to positively affect learning in children in terms of behavior, cognitive, and school performance. However, these assertions are largely based on evidence which demonstrates acute effects of breakfast on cognitive performance. Less research which examines the effects of breakfast on the ecologically valid outcomes of academic performance or in-class behavior is available. The literature was searched for articles published between 1950-2013 indexed in Ovid MEDLINE, Pubmed, Web of Science, the Cochrane Library, EMBASE databases, and PsychINFO. Thirty-six articles examining the effects of breakfast on in-class behavior and academic performance in children and adolescents were included. The effects of breakfast in different populations were considered, including undernourished or well-nourished children and adolescents from differing socio-economic status (SES) backgrounds. The habitual and acute effects of breakfast and the effects of school breakfast programs (SBPs) were considered. The evidence indicated a mainly positive effect of breakfast on on-task behavior in the classroom. There was suggestive evidence that habitual breakfast (frequency and quality) and SBPs have a positive effect on children's academic performance with clearest effects on mathematic and arithmetic grades in undernourished children. Increased frequency of habitual breakfast was consistently positively associated with academic performance. Some evidence suggested that quality of habitual breakfast, in terms of providing a greater variety of food groups and adequate energy, was positively related to school performance. However, these associations can be attributed, in part, to confounders such as SES and to methodological weaknesses such as the subjective nature of the observations of behavior in class.

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Section: Methodological Issuesmentioning

confidence: 86%

Dietary Intake and Plasma Levels of Choline and Betaine in Children with Autism Spectrum Disorders

Adolphus¹,

Lawton²,

Dye³

2015

Prenatal and Childhood Nutrition

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“…En los últimos 30 años, la investigación ha confirmado una asociación entre los indicadores socioeconómicos y el rendimiento académico de los niños como un subproducto del contexto en el que viven (por ejemplo, Bradley y Corwyn, 2002;Danziger, 1995;Duncan y Brooks-Gunn, 1997;Marchesi et al, 2004;McCulloch y Joshi, 2001;Shonkoff y Phillips, 2000). En concreto, los resultados podrían derivarse de variables como el ingreso familiar, la ocupación de los padres y el entorno de la comunidad que influyen directamente en el progreso académico (Van Ewijk y Sleegers, 2010).…”

Section: Variables De Contexto: Aspectos Clave Para La Evaluación Y Sunclassified

Número completo

Rase

2017

RASE

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“…The behaviours and outcomes that have been related to neighbourhood characteristics range from child development, educational outcomes, delinquency, teen pregnancy, social exclusion and health to employment and earnings, and more. Examples are papers that look at the effects of living in deprived or disadvantaged neighbourhoods on children's cognitive test scores (McCulloch & Joshi, 2001), measures of social exclusion (Buck, 2001), mental health (Propper et al, 2005), and residential mobility (Rabe & Taylor, 2010). …”

Section: Previous Researchmentioning

confidence: 99%

Estimating Nonresponse Bias and Mode Effects in a Mixed-Mode Survey

Lugtig

Lensvelt-Mulders

Frerichs³

et al. 2011

International Journal of Market Research

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In mixed-mode surveys, it is difficult to separate sample selection differences from mode-effects that can occur when respondents respond in different interview settings. This paper provides a framework for separating mode effects from selection effects by matching very similar respondents from different survey modes using propensity score matching. The answer patterns of the matched respondents are subsequently compared. We show that matching can explain differences in nonresponse and coverage in two Internet samples. When we repeat this procedure for a telephone and Internet sample however, differences persist between the samples after matching. This indicates the occurrence of mode effects in telephone and Internet surveys. Mode effects can be problematic; hence we conclude with a discussion of designs that can be used to explicitly study mode effects.

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Neighbourhood and family influences on the cognitive ability of children in the British National Child Development Study

Cited by 127 publications

References 29 publications

Dietary Intake and Plasma Levels of Choline and Betaine in Children with Autism Spectrum Disorders

Dietary Intake and Plasma Levels of Choline and Betaine in Children with Autism Spectrum Disorders

Número completo

Estimating Nonresponse Bias and Mode Effects in a Mixed-Mode Survey

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