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

被引：48

作者：

Celis-Morales, Carlos ^{[1
]}

Livingstone, Katherine M. ^{[1
]}

Woolhead, Clara ^{[2
]}

Forster, Hannah ^{[2
]}

O'Donovan, Clare B. ^{[2
]}

Macready, Anna L. ^{[3
,4
]}

Fallaize, Rosalind ^{[3
,4
]}

Marsaux, Cyril F. M. ^{[5
]}

Tsirigoti, Lydia ^{[6
]}

Efstathopoulou, Eirini ^{[6
]}

Moschonis, George ^{[6
]}

Navas-Carretero, Santiago ^{[7
,8
]}

San-Cristobal, Rodrigo ^{[7
]}

Kolossa, Silvia ^{[9
]}

Klein, Ulla L. ^{[9
]}

Hallmann, Jacqueline ^{[9
]}

Godlewska, Magdalena ^{[10
]}

Surwillo, Agnieszka ^{[10
]}

Drevon, Christian A. ^{[11
]}

Bouwman, Jildau ^{[12
]}

Grimaldi, Keith ^{[13
]}

Parnell, Laurence D. ^{[14
]}

Manios, Yannis ^{[6
]}

Traczyk, Iwona ^{[10
]}

Gibney, Eileen R. ^{[2
]}

Brennan, Lorraine ^{[2
]}

Walsh, Marianne C. ^{[2
]}

Lovegrove, Julie A. ^{[3
,4
]}

Martinez, J. Alfredo ^{[7
,8
]}

Daniel, Hannelore ^{[9
]}

Saris, Wim H. M. ^{[5
]}

Gibney, Mike ^{[2
]}

Mathers, John C. ^{[1
]}

机构：

[1] Newcastle Univ, Inst Cellular Med, Human Nutr Res Ctr, Newcastle Upon Tyne NE4 5PL, Tyne & Wear, England

[2] Univ Coll Dublin, UCD Inst Food & Hlth, Dublin 4, Ireland

[3] Univ Reading, Hugh Sinclair Unit Human Nutr, Reading, Berks, England

[4] Univ Reading, Inst Cardiovasc & Metab Res, Reading, Berks, England

[5] Maastricht Univ, Med Ctr, Dept Human Biol, NUTRIM Sch Nutr Toxicol & Metab, Maastricht, Netherlands

[6] Harokopio Univ, Dept Nutr & Dietet, Athens, Greece

[7] Univ Navarra, Dept Nutr Food Sci & Physiol, Pamplona, Spain

[8] Inst Salud Carlos III, CIBER Fisiopatol Obesidad & Nutr CIBERobn, Madrid, Spain

[9] Tech Univ Munich, ZIEL Res Ctr Nutr & Food Sci, Biochem Unit, D-80290 Munich, Germany

[10] Natl Food & Nutr Inst IZZ, Warsaw, Poland

[11] Univ Oslo, Dept Nutr, Fac Med, Inst Basic Med Sci, Oslo, Norway

[12] TNO, Microbiol & Syst Biol Grp, NL-3700 AJ Zeist, Netherlands

[13] Eurogenet Ltd, Burnham On Sea, England

[14] Tufts Univ, Nutr & Genom Lab, Jean Mayer US Dept Agr, Human Nutr Res Ctr Aging, Boston, MA 02111 USA

来源：

GENES AND NUTRITION | 2015年 / 10卷 / 05期

基金：

欧盟第七框架计划;

关键词：

Internet-based; Validation; Identity Anthropometrics; Personalised nutrition; Randomised controlled trial; BODY-MASS INDEX; NUTRITION EXAMINATION SURVEY; SOCIAL DESIRABILITY; PHYSICAL-ACTIVITY; NATIONAL-HEALTH; WEIGHT; HEIGHT; VALIDITY; INTERVENTIONS; METAANALYSIS;

D O I：

10.1007/s12263-015-0476-0

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

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 (Delta -0.70 kg [-3.6 to 2.1], p < 0.0001) and, therefore, BMI was lower for SR data (Delta -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.

引用

页数：10

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