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.  ORCID: https://orcid.org/0000-0003-0368-9336, 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. et al, Grimaldi, K., Parnell, L. D., Manios, Y., Traczyk, I., Gibney, E. R., Brennan, L., Walsh, M. C., Lovegrove, J. ORCID: https://orcid.org/0000-0001-7633-9455, 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
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1007/s12263-015-0476-0 Abstract/SummaryIn 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.
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| Projects: |
Food4Me
Funded by:
European Commission
(FP7-KBBE-2010-4 265494 - £321,916)
Local Lead (PI): Julie Lovegrove
1 April 2011 - 31 March 2015
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| Date Deposited: | 16 Jul 2015 09:40 | Date item deposited into CentAUR |
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| Last Modified: | 25 Jan 2024 01:40 | Date item last modified |
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• Bes-Rastrollo M, Sabate J, Jaceldo-Siegl K, Fraser GE (2011) Validation of self-reported anthropometrics in the Adventist Health Study 2. BMC Public Health 11:213
• Bland JM, Altman DG (2010) Statistical methods for assessing agreement between two methods of clinical measurement. Int J Nurs Stud 47(8):931–936
• Bonn SE, Lagerros YT, Balter K (2013) How valid are web-based self-reports of weight? J Med Internet Res 15(4):e52
• Celis-Morales C, Livingstone KM, Marsaux CFM, Forster H, O’Donovan CB, Woolhead C, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M,
Surwiłło A, Grimaldi K, Bouwman J, Daly EJ, Akujobi V, O’Riordan R, Hoonhout J, Claassen A, Hoeller U, Gundersen
TE, Kaland SE, Matthews JNS, Manios Y, Traczyk I, Drevon CA, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Alfredo Martinez J, Saris WHM, Daniel H, Gibney M, Mathers JC (2014) Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries. Genes Nutr 10(1):1–13
• Celis-Morales C, Lara J, Mathers JC (2015) Personalising nutritional guidance for more effective behaviour change. Proc Nutr Soc 74(2):130–138. doi:10.1017/S0029665114001633
• Eurostat (2012) Life Online. https://ec.europa.eu/digital-agenda/sites/digital-agenda/files/scoreboard_life_online.pdf. Accessed 28 Apr 2015
• Gorber SC, Tremblay M, Moher D, Gorber B (2007) Diagnostic in obesity comorbidities—a comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obes Rev 8(4):307–326
• He C, Holme J, Anthony J (2014) SNP genotyping: the KASP assay. Methods Mol Biol 1145:75–86
• Hobbs N, Godfrey A, Lara J, Errington L, Meyer TD, Rochester L, White M, Mathers JC, Sniehotta FF (2013) Are behavioural interventions effective in increasing physical activity at 12 to 36 months in adults aged 55 to 70 years? A systematic review and meta-analysis. BMC Med 11:75
• Hood K, Robling M, Ingledew D, Gillespie D, Greene G, Ivins R, Russell I, Sayers A, Shaw C, Williams J (2012) Mode of data elicitation, acquisition and response to surveys: a systematic review. Health Technol Assess 16(27):1
• Johansson L, Solvoll K, Bjorneboe GEA, Drevon CA (1998) Under and over reporting of energy intake related to weight status and lifestyle in a nationwide sample. Am J Clin Nutr 68(2):266–274
• Joinson A (1999) Social desirability, anonymity, and Internet-based questionnaires. Behav Res Methods Instrum Comput 31(3):433–438
• Kuczmarski MF, Kuczmarski RJ, Najjar M (2001) Effects of age on validity of self-reported height, weight, and body mass index: findings from the third National Health and Nutrition Examination Survey, 1988–1994. J Am Diet Assoc 101(1):28–34
• Landis JR, Koch GG (1977) Measurement of observer agreement for categorical data. Biometrics 33(1):159–174
• Lara J, Hobbs N, Moynihan PJ, Meyer TD, Adamson AJ, Errington L, Rochester L, Sniehotta FF, White M, Mathers JC (2014)
• Effectiveness of dietary interventions among adults of retirement age: a systematic review and meta-analysis of randomized controlled trials. BMC Med 12:60
• Larson MR (2000) Social desirability and self-reported weight and height. Int J Obes 24(5):663–665
• Lassale C, Peneau S, Touvier M, Julia C, Galan P, Hercerg S, Kesse-Guyot E (2013) Validity of web-based self-reported weight and height: results of the Nutrinet-Sante Study. J Med Internet Res 15(8):e152
• Livingstone K, Celis-Morales C, Navas-Carretero S, San-Cristobal R, O’Donovan C, Forster H, Woolhead C, Marsaux CM, Macready A, Fallaize R, Kolossa S, Tsirigoti L, Lambrinou C, Moschonis G, Godlewska M, Surwiłło A, Drevon C, Manios Y, Traczyk I, Gibney E, Brennan L, Walsh M, Lovegrove J, Alfredo Martinez J, Saris W, Daniel H, Gibney M, Mathers J (2015) Profile of European adults interested in internet-based personalised nutrition: the Food4Me study. Eur J Nutr 1–11. doi:10.1007/s00394-015-0897-y
• Merrill RM, Richardson JS (2009) Validity of self-reported height, weight, and body mass index: findings from the National Health and Nutrition Examination Survey, 2001–2006. Prev Chronic Dis 6(4):A121
• Nichols M, Townsend N, Scarborough P, Rayner M (2013) European cardiovascular disease statistics 4th edition 2012: EuroHeart II. Eur Heart J 34(39):3007
• Niedhammer I, Bugel I, Bonenfant S, Goldberg M, Leclerc A (2000) Validity of self-reported weight and height in the French GAZEL cohort. Int J Obes 24(9):1111–1118
• OECD (2012) Health at a glance: Europe 2012. O. Publishing, OECD Pursey K, Burrows TL, Stanwell P, Collins CE (2014) How accurate is web-based self-reported height, weight, and body mass index in young adults? J Med Internet Res 16(1):e4
• Semagn K, Babu R, Hearne S, Olsen M (2014) Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement. Mol Breed 33(1):1–14
• Smith CE, Arnett DK, Corella D, Tsai MY, Lai CQ, Parnell LD, Lee YC, Ordovas JM (2012) Perilipin polymorphism interacts with saturated fat and carbohydrates to modulate insulin resistance. Nutr Metab Cardiovasc Dis 22(5):449–455
• Spencer EA, Appleby PN, Davey GK, Key TJ (2002) Validity of self-reported height and weight in 4808 EPIC-Oxford participants. Public Health Nutr 5(4):561–565
• Steele RM, Mummery WK, Dwyer T (2009) A comparison of face-to-face or internet-delivered physical activity intervention on targeted determinants. Health Educ Behav 36(6):1051–1064
• Thorndike FP, Ritterband LM, Saylor DK, Magee JC, Gonder-Frederick LA, Morin CM (2011) Validation of the insomnia severity index as a web-based measure. Behav Sleep Med 9(4):216–223
• Wantland DJ, Portillo CJ, Holzemer WL, Slaughter R, McGhee EM (2004) The effectiveness of Web-based vs. non-Web-based interventions: a meta-analysis of behavioral change outcomes. J Med Internet Res 6(4):67–84
• Weigold A, Weigold IK, Russell EJ (2013) Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection methods. Psychol Methods 18(1):53–70
• WHO (2010) Global status report on non-communicable diseases 2010, World Health Organization
• Wright KB (2005) Researching Internet-based populations: advantages and disadvantages of online survey research, online questionnaire authoring software packages, and Web survey services. J Comput-Mediat Commun 10(3) University Staff: Request a correction | Centaur Editors: Update this record |
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