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 Nutr. 2012 Aug;15(8):1362-72. doi: 10.1017/S1368980011003326. Epub 2011 Dec 8.

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.

MeSH terms

  • Adolescent
  • Australia
  • Body Weight
  • Child
  • Child Nutritional Physiological Phenomena
  • Child, Preschool
  • Cluster Analysis
  • Energy Intake*
  • Feeding Behavior*
  • Humans
  • Motor Activity*
  • Nutrition Surveys*