Dataset Information

A repeated cross-sectional study examining the school impact on child weight status.

ABSTRACT:

Objective

The aim of this study is to examine whether there is a differential impact of primary schools upon children's weight status.

Methods

A repeated cross-sectional study was undertaken using five years (2006/07-2010/11) of National Child Measurement Programme data, comprising 57,976 children (aged 4-5 (Reception) and 10-11 (Year 6) years) from 300 primary schools across Devon, England. Examining each year separately, the schools were ranked according to their observed and residual (having accounted for school and neighbourhood clustering and pupil ethnicity and socioeconomic status) school mean body mass index standard deviation score (BMI-SDS). Subtracting the Reception from the Year 6 mean residuals gave 'value-added' scores for each school which were also ranked. The rankings were compared within and across the years to assess consistency.

Results

Although pupil BMI-SDS was high, >97% of the variation in BMI-SDS was attributable to environments other than the school. The 'value-added' by each school was only poorly correlated with the observed and residual pupil BMI-SDS; but none of the rankings were consistent across the five years.

Conclusion

The inconsistency of the rankings and the small variation in BMI-SDS at the level of the school suggests that there is no systematic differential impact of primary schools upon pupil weight status.

SUBMITTER: Williams AJ

PROVIDER: S-EPMC4070023 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

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Publications

A repeated cross-sectional study examining the school impact on child weight status.

Williams Andrew James AJ Wyatt Katrina Mary KM Williams Craig Anthony CA Logan Stuart S Henley William E WE

Preventive medicine 20140413

<h4>Objective</h4>The aim of this study is to examine whether there is a differential impact of primary schools upon children's weight status.<h4>Methods</h4>A repeated cross-sectional study was undertaken using five years (2006/07-2010/11) of National Child Measurement Programme data, comprising 57,976 children (aged 4-5 (Reception) and 10-11 (Year 6) years) from 300 primary schools across Devon, England. Examining each year separately, the schools were ranked according to their observed and re ...[more]

PMID: 24732718

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Project description:BackgroundAustralia is the only developed country to consistently undertake a developmental census of its children nationwide. The repeated collection of the Australian Early Development Census (AEDC) has provided an unprecedented opportunity to examine the prevalence of developmental vulnerability across Australia's states and territories, the socio-economic distribution of developmental vulnerability across jurisdictions, and how these distributions might have changed over time.MethodsThis study employed multivariable logistic regressions to estimate the probability of developmental vulnerability within each jurisdiction and AEDC collection year (2009 to 2018), adjusting for jurisdictional differences in socio-demographic characteristics. To explore socio-economic inequalities in child development, adjusted slope index of inequality (SII) models were utilised.FindingsThe results of this study found reductions in the adjusted prevalence of developmental vulnerability over time in Western Australia (26% to 20%) and Queensland (30% to 25%), with an increase observed in the Australian Capital Territory (27% to 30%). Analysis also indicated an increase in socio-economic inequalities over time in the Northern Territory (+12%), the Australian Capital Territory (+6%) and Tasmania (+4%). Sensitivity analysis found these effects to be robust with an alternative measure of socio-economic position.InterpretationThere is considerable variation in the prevalence and socio-economic inequalities in developmental vulnerability across Australia's jurisdictions. Future research should explore the policy drivers in early childhood education and health contributing to the findings of this study, with a particular focus on jurisdictions where there have been notable changes in developmental vulnerability and socio-economic inequality over time.FundingAnalyses were funded under research contract by the Department of Education, Skills and Employment. Prof Brinkman is supported by a National Health and Medical Research Council fellowship, APP1160185.

Dataset Information

A repeated cross-sectional study examining the school impact on child weight status.

Objective

Methods

Results

Conclusion

Publications

A repeated cross-sectional study examining the school impact on child weight status.

Similar Datasets

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