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The impact of complex survey design on prevalence estimates of intakes of food groups in the Australian National Children's Nutrition and Physical Activity Survey

Journal Article


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Abstract


  • Objective To assess the impact of the complex survey design used in the 2007 Australian National Children's Nutrition and Physical Activity Survey (ANCNPAS07) on prevalence estimates for intakes of groups of foods in the population of children.

    Design The impacts on prevalence estimates were determined by calculating design effects for values for food group consumption. The implications of ignoring elements of the sample design including stratification, clustering and weighting are discussed.

    Setting The ANCNPAS07 used a complex sample design involving stratification, a high degree of clustering and estimation weights.

    Subjects Australian children aged 2–16 years.

    Results Design effects ranging from <1 to 5 were found for the values of mean consumption and proportion of the population consuming the food groups. When survey weights were ignored, prevalence estimates were also biased.

    Conclusions Ignoring the complex survey design used in the ANCNPAS07 could result in underestimating the width of confidence intervals, higher mean square errors and biased estimators. The magnitude of these effects depends on both the parameter under consideration and the chosen estimator.

Publication Date


  • 2012

Citation


  • Burden, S., Probst, Y., Steel, D. & Tapsell, L. (2012). The impact of complex survey design on prevalence estimates of intakes of food groups in the Australian National Children's Nutrition and Physical Activity Survey. Public Health Nutrition, 15 (8), 1362-1372.

Scopus Eid


  • 2-s2.0-84864034695

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3624&context=hbspapers

Ro Metadata Url


  • http://ro.uow.edu.au/hbspapers/2575

Number Of Pages


  • 10

Start Page


  • 1362

End Page


  • 1372

Volume


  • 15

Issue


  • 8

Place Of Publication


  • http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8641789&fulltextType=RA&fileId=S1368980011003326

Abstract


  • Objective To assess the impact of the complex survey design used in the 2007 Australian National Children's Nutrition and Physical Activity Survey (ANCNPAS07) on prevalence estimates for intakes of groups of foods in the population of children.

    Design The impacts on prevalence estimates were determined by calculating design effects for values for food group consumption. The implications of ignoring elements of the sample design including stratification, clustering and weighting are discussed.

    Setting The ANCNPAS07 used a complex sample design involving stratification, a high degree of clustering and estimation weights.

    Subjects Australian children aged 2–16 years.

    Results Design effects ranging from <1 to 5 were found for the values of mean consumption and proportion of the population consuming the food groups. When survey weights were ignored, prevalence estimates were also biased.

    Conclusions Ignoring the complex survey design used in the ANCNPAS07 could result in underestimating the width of confidence intervals, higher mean square errors and biased estimators. The magnitude of these effects depends on both the parameter under consideration and the chosen estimator.

Publication Date


  • 2012

Citation


  • Burden, S., Probst, Y., Steel, D. & Tapsell, L. (2012). The impact of complex survey design on prevalence estimates of intakes of food groups in the Australian National Children's Nutrition and Physical Activity Survey. Public Health Nutrition, 15 (8), 1362-1372.

Scopus Eid


  • 2-s2.0-84864034695

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3624&context=hbspapers

Ro Metadata Url


  • http://ro.uow.edu.au/hbspapers/2575

Number Of Pages


  • 10

Start Page


  • 1362

End Page


  • 1372

Volume


  • 15

Issue


  • 8

Place Of Publication


  • http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8641789&fulltextType=RA&fileId=S1368980011003326