Literature DB >> 20883142

Validation and application of a novel method of measuring non-response bias in school-based surveys of paediatric overweight and obesity.

Michael L Booth1, Anthony D Okely, Elizabeth Denney-Wilson.   

Abstract

OBJECTIVE: To validate a method of estimating non-response bias to a school-based survey based on body mass index (BMI).
METHODS: A population survey of Australian students in Kindergarten and Grades 2, 4, 6, 8 and 10 (N=5 407) was conducted in 2004, and height and weight measured. Teachers matched the height and weight of all students who were selected to participate, but who were not measured (non-participating students) and of half of the students whose height and weight had been measured based on comparisons with the remaining half of measured students. Among those students whose height and weight had been both measured and estimated based on matching with the most similar student, percent agreement between the BMI categories based on measured and estimated values was calculated to determine the validity of the estimated BMI value. The prevalence of overweight and obesity among participating and non-participating students was compared to determine the magnitude of non-response bias.
RESULTS: For more than 88% of classes, percent agreement between BMI categories based on estimated and measured height and weight was >60%. The differences in the prevalence of overweight and obesity between participating and non-participating students were all less than one percentage point.
CONCLUSIONS: Most teachers were able to validly match students based on their height and weight, allowing estimation of and adjustment for non-response bias among non-participating students.

Entities:  

Mesh:

Year:  2010        PMID: 20883142     DOI: 10.3109/17477166.2010.498917

Source DB:  PubMed          Journal:  Int J Pediatr Obes        ISSN: 1747-7166


  2 in total

1.  30-year trends in overweight, obesity and waist-to-height ratio by socioeconomic status in Australian children, 1985 to 2015.

Authors:  L L Hardy; S Mihrshahi; J Gale; B A Drayton; A Bauman; J Mitchell
Journal:  Int J Obes (Lond)       Date:  2016-11-16       Impact factor: 5.095

2.  Active (Opt-In) Consent Underestimates Mean BMI-z and the Prevalence of Overweight and Obesity Compared to Passive (Opt-Out) Consent. Evidence from the Healthy Together Victoria and Childhood Obesity Study.

Authors:  Claudia Strugnell; Liliana Orellana; Joshua Hayward; Lynne Millar; Boyd Swinburn; Steven Allender
Journal:  Int J Environ Res Public Health       Date:  2018-04-13       Impact factor: 3.390

  2 in total

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