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Recruitment into diabetes prevention programs : what is the impact of errors in self-reported measures of obesity?

Hernan, Andrea, Philpot, Benjamin, Janus, Edward D. and Dunbar, James A. 2012, Recruitment into diabetes prevention programs : what is the impact of errors in self-reported measures of obesity?, BMC public health, vol. 12, no. 510.

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Title Recruitment into diabetes prevention programs : what is the impact of errors in self-reported measures of obesity?
Author(s) Hernan, Andrea
Philpot, Benjamin
Janus, Edward D.
Dunbar, James A.
Journal name BMC public health
Volume number 12
Issue number 510
Total pages 7
Publisher BioMed Central
Place of publication London, England
Publication date 2012-07-08
ISSN 1471-2458
Keyword(s) type 2 diabetes
prevention programs
recruitment
weight misperception
BMI
waist circumference
Summary Background
Error in self-reported measures of obesity has been frequently described, but the effect of self-reported error on recruitment into diabetes prevention programs is not well established. The aim of this study was to examine the effect of using self-reported obesity data from the Finnish diabetes risk score (FINDRISC) on recruitment into the Greater Green Triangle Diabetes Prevention Project (GGT DPP).

Methods
The GGT DPP was a structured group-based lifestyle modification program delivered in primary health care settings in South-Eastern Australia. Between 2004–05, 850 FINDRISC forms were collected during recruitment for the GGT DPP. Eligible individuals, at moderate to high risk of developing diabetes, were invited to undertake baseline tests, including anthropometric measurements performed by specially trained nurses. In addition to errors in calculating total risk scores, accuracy of self-reported data (height, weight, waist circumference (WC) and Body Mass Index (BMI)) from FINDRISCs was compared with baseline data, with impact on participation eligibility presented.

Results
Overall, calculation errors impacted on eligibility in 18 cases (2.1%). Of n = 279 GGT DPP participants with measured data, errors (total score calculation, BMI or WC) in self-report were found in n = 90 (32.3%). These errors were equally likely to result in under- or over-reported risk. Under-reporting was more common in those reporting lower risk scores (Spearman-rho = −0.226, p-value < 0.001). However, underestimation resulted in only 6% of individuals at high risk of diabetes being incorrectly categorised as moderate or low risk of diabetes.

Conclusions
Overall FINDRISC was found to be an effective tool to screen and recruit participants at moderate to high risk of diabetes, accurately categorising levels of overweight and obesity using self-report data. The results could be generalisable to other diabetes prevention programs using screening tools which include self-reported levels of obesity.
Notes This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Language eng
Field of Research 111717 Primary Health Care
Socio Economic Objective 920104 Diabetes
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2012, Hernan et al.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30050420

Document type: Journal Article
Collections: School of Medicine
Population Health
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.