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Estimating equations to correct self-reported height and weight: implications for prevalence of overweight and obesity in Australia.
Aust N Z J Public Health. 2008 Dec; 32(6):542-5.AN

Abstract

OBJECTIVE

To derive correction equations based on nationally representative data, for the error associated with self-reported height and weight and to apply these to recent estimates of overweight and obesity in the Australian adult population.

METHODS

Linear regression was used to derive correction equations to predict reporting error on height, weight and body mass index (BMI) for 8,435 adults, aged 20 and over, who had their height and weight accurately measured as participants of the 1995 National Nutrition Survey (NNS) and who had also supplied self-reported information within the 1995 National Health Survey (NHS).

RESULTS

Evaluation of different correction algorithms suggests that simple correction equations for height and weight (each with one independent variable) are the most useful in the prediction of corrected prevalence of overweight and obesity. Applying these equations to nationally representative data suggests that the prevalence of overweight and obesity (BMI > or = 25) in Australia in 2004/05 was 66% compared with the value of 54% determined from self-reported data.

CONCLUSION

We present a simple and reliable method for correcting true prevalence of overweight and obesity from self-reported data.

IMPLICATIONS

In order to get realistic estimates of overweight and obesity in Australia, either measured height and weight data should be collected directly, or equations to correct for self report error should be used.

Authors+Show Affiliations

School of Public Health, University of Sydney, New South Wales 2006, Australia. alisonh@health.usyd.edu.auNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

19076745

Citation

Hayes, Alison J., et al. "Estimating Equations to Correct Self-reported Height and Weight: Implications for Prevalence of Overweight and Obesity in Australia." Australian and New Zealand Journal of Public Health, vol. 32, no. 6, 2008, pp. 542-5.
Hayes AJ, Kortt MA, Clarke PM, et al. Estimating equations to correct self-reported height and weight: implications for prevalence of overweight and obesity in Australia. Aust N Z J Public Health. 2008;32(6):542-5.
Hayes, A. J., Kortt, M. A., Clarke, P. M., & Brandrup, J. D. (2008). Estimating equations to correct self-reported height and weight: implications for prevalence of overweight and obesity in Australia. Australian and New Zealand Journal of Public Health, 32(6), 542-5. https://doi.org/10.1111/j.1753-6405.2008.00306.x
Hayes AJ, et al. Estimating Equations to Correct Self-reported Height and Weight: Implications for Prevalence of Overweight and Obesity in Australia. Aust N Z J Public Health. 2008;32(6):542-5. PubMed PMID: 19076745.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Estimating equations to correct self-reported height and weight: implications for prevalence of overweight and obesity in Australia. AU - Hayes,Alison J, AU - Kortt,Michael A, AU - Clarke,Philip M, AU - Brandrup,Jason D, PY - 2008/12/17/entrez PY - 2008/12/17/pubmed PY - 2009/2/20/medline SP - 542 EP - 5 JF - Australian and New Zealand journal of public health JO - Aust N Z J Public Health VL - 32 IS - 6 N2 - OBJECTIVE: To derive correction equations based on nationally representative data, for the error associated with self-reported height and weight and to apply these to recent estimates of overweight and obesity in the Australian adult population. METHODS: Linear regression was used to derive correction equations to predict reporting error on height, weight and body mass index (BMI) for 8,435 adults, aged 20 and over, who had their height and weight accurately measured as participants of the 1995 National Nutrition Survey (NNS) and who had also supplied self-reported information within the 1995 National Health Survey (NHS). RESULTS: Evaluation of different correction algorithms suggests that simple correction equations for height and weight (each with one independent variable) are the most useful in the prediction of corrected prevalence of overweight and obesity. Applying these equations to nationally representative data suggests that the prevalence of overweight and obesity (BMI > or = 25) in Australia in 2004/05 was 66% compared with the value of 54% determined from self-reported data. CONCLUSION: We present a simple and reliable method for correcting true prevalence of overweight and obesity from self-reported data. IMPLICATIONS: In order to get realistic estimates of overweight and obesity in Australia, either measured height and weight data should be collected directly, or equations to correct for self report error should be used. SN - 1326-0200 UR - https://www.unboundmedicine.com/medline/citation/19076745/Estimating_equations_to_correct_self_reported_height_and_weight:_implications_for_prevalence_of_overweight_and_obesity_in_Australia_ L2 - https://doi.org/10.1111/j.1753-6405.2008.00306.x DB - PRIME DP - Unbound Medicine ER -