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How reliable is internet-based self-reported identity, socio-demographic and obesity measures in European adults?

Celis-Morales, C., Livingstone, K. M., Woolhead, C., Forster, H., O’Donovan, C. B., Macready, A., Fallaize, R., Marsaux, C. F. M., Tsirigoti, L., Efstathopoulou, E., Moschonis, G., Navas-Carretero, S., San-Cristobal, R., Kolossa, S., Klein, U. L., Hallmann, J., Godlewska, M., Surwiłło, A., Drevon, C. A., Bouwman, J. , Grimaldi, K., Parnell, L. D., Manios, Y., Traczyk, I., Gibney, E. R., Brennan, L., Walsh, M. C., Lovegrove, J., Martinez, J. A., Daniel, H., Saris, W. H. M., Gibney, M. and Mathers, J. C. (2015) How reliable is internet-based self-reported identity, socio-demographic and obesity measures in European adults? Genes and Nutrition, 10 (5). pp. 476-487. ISSN 1555-8932

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To link to this item DOI: 10.1007/s12263-015-0476-0

Abstract/Summary

In e-health intervention studies, there are concerns about the reliability of internet-based, self-reported (SR) data and about the potential for identity fraud. This study introduced and tested a novel procedure for assessing the validity of internet-based, SR identity and validated anthropometric and demographic data via measurements performed face-to-face in a validation study (VS). Participants (n = 140) from seven European countries, participating in the Food4Me intervention study which aimed to test the efficacy of personalised nutrition approaches delivered via the internet, were invited to take part in the VS. Participants visited a research centre in each country within 2 weeks of providing SR data via the internet. Participants received detailed instructions on how to perform each measurement. Individual’s identity was checked visually and by repeated collection and analysis of buccal cell DNA for 33 genetic variants. Validation of identity using genomic information showed perfect concordance between SR and VS. Similar results were found for demographic data (age and sex verification). We observed strong intra-class correlation coefficients between SR and VS for anthropometric data (height 0.990, weight 0.994 and BMI 0.983). However, internet-based SR weight was under-reported (Δ −0.70 kg [−3.6 to 2.1], p < 0.0001) and, therefore, BMI was lower for SR data (Δ −0.29 kg m−2 [−1.5 to 1.0], p < 0.0001). BMI classification was correct in 93 % of cases. We demonstrate the utility of genotype information for detection of possible identity fraud in e-health studies and confirm the reliability of internet-based, SR anthropometric and demographic data collected in the Food4Me study.

Item Type:Article
Refereed:Yes
Divisions:Interdisciplinary centres and themes > Food Chain and Health
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology
Faculty of Life Sciences > School of Agriculture, Policy and Development > Economic and Social Sciences Division > Food Economics and Marketing (FEM)
Faculty of Life Sciences > School of Chemistry, Food and Pharmacy > Department of Food and Nutritional Sciences > Human Nutrition Research Group
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Nutrition and Health
ID Code:40725
Uncontrolled Keywords:Internet-based; Validation; Identity; Anthropometrics; Personalised nutrition; Randomised controlled trial
Publisher:Springer

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