Motives for participating in a web-based nutrition cohort according to sociodemographic, lifestyle, and health characteristics: The nutrinet-santé cohort study

Journal of Medical Internet Research

Volumn 16, Issue 8, 2014, Pages e189-

  Méjean, Caroline ^a   Szabo De Edelenyi, Fabien ^a   Touvier, Mathilde ^a   Kesse Guyot, Emmanuelle ^a   Julia, Chantal ^a   Andreeva, Valentina A ^a   Hercberg, Serge ^a  

^a UNIVERSITÉ PARIS 13   (France)

Author keywords

Cohort study; Internet; Motivation; Participation; Population characteristics

Indexed keywords

ADULT; AGED; BODY WEIGHT; CHRONIC DISEASE; COHORT ANALYSIS; FEMALE; HEALTH STATUS; HUMAN; INTERNET; LIFESTYLE; MALE; MIDDLE AGED; MOTIVATION; NUTRITIONAL STATUS; PATIENT ATTITUDE; QUESTIONNAIRE; RISK; SOCIOECONOMICS;

ADULT; AGED; BODY WEIGHT; CHRONIC DISEASE; COHORT STUDIES; FEMALE; HEALTH STATUS; HUMANS; INTERNET; LIFE STYLE; MALE; MIDDLE AGED; MOTIVATION; NUTRITIONAL STATUS; ODDS RATIO; PATIENT ACCEPTANCE OF HEALTH CARE; QUESTIONNAIRES; SOCIOECONOMIC FACTORS;

EID: 84907565545     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.3161     Document Type: Article

References (44)

1. American Institute for Cancer Research / World Cancer Research Fund. Food, Nutrition, Physical Activity and the Prevention of Cancer: A Global Perspective. Washington, DC: American Institute for Cancer Research; 2007.
2. Willett W. Nutritional Epidemiology. New York: Oxford University Press; 1998.
3. Ekman A, Litton JE. New times, new needs; e-epidemiology. Eur J Epidemiol 2007;22(5):285-292. [doi: 10.1007/s10654-007-9119-0] [Medline: 17505896]
4. Schatzkin A, Subar AF, Moore S, Park Y, Potischman N, Thompson FE, et al. Observational epidemiologic studies of nutrition and cancer: the next generation (with better observation). Cancer Epidemiol Biomarkers Prev 2009 Apr;18(4):1026-1032 [FREE Full text] [doi: 10.1158/1055-9965.EPI-08-1129] [Medline: 19336550]
5. Internet Word Stats: Usage and Population Statistics. 2012. Internet usage statistics: the big picture URL: http://www.internetworldstats.com/stats.htm [accessed 2013-11-29] [WebCite Cache ID 6LUjnbu0m]
6. EuroStat. Internet use in households and by individuals in 2012 URL: http://epp.eurostat.ec.europa.eu/portal/page/portal/eurostat/home/ [accessed 2013-11-29] [WebCite Cache ID 6LUjItaUk]
7. Médiamétrie. Internet 2009 URL: http://www.mediametrie.fr/internet/ [accessed 2013-11-29] [WebCite Cache ID 6LUjf7joP]
8. Smith B, Smith TC, Gray GC, Ryan MA, Millennium Cohort Study Team. When epidemiology meets the Internet: Web-based surveys in the Millennium Cohort Study. Am J Epidemiol 2007 Dec 1;166(11):1345-1354 [FREE Full text] [doi: 10.1093/aje/kwm212] [Medline: 17728269]
9. Galea S, Tracy M. Participation rates in epidemiologic studies. Ann Epidemiol 2007 Sep;17(9):643-653. [doi: 10.1016/j.annepidem.2007.03.013] [Medline: 17553702]
10. Ekman A, Klint A, Dickman PW, Adami HO, Litton JE. Optimizing the design of web-based questionnaires - experience from a population-based study among 50,000 women. Eur J Epidemiol 2007;22(5):293-300. [doi: 10.1007/s10654-006-9091-0] [Medline: 17206467]
11. Huybrechts KF, Mikkelsen EM, Christensen T, Riis AH, Hatch EE, Wise LA, et al. A successful implementation of e-epidemiology: the Danish pregnancy planning study 'Snart-Gravid'. Eur J Epidemiol 2010 May;25(5):297-304 [FREE Full text] [doi: 10.1007/s10654-010-9431-y] [Medline: 20148289]
12. Kesse-Guyot E, Andreeva V, Castetbon K, Vernay M, Touvier M, Méjean C, et al. Participant profiles according to recruitment source in a large Web-based prospective study: experience from the Nutrinet-Santé study. J Med Internet Res 2013;15(9):e205 [FREE Full text] [doi: 10.2196/jmir.2488] [Medline: 24036068]
13. Richiardi L, Baussano I, Vizzini L, Douwes J, Pearce N, Merletti F, NINFEA cohort. Feasibility of recruiting a birth cohort through the Internet: the experience of the NINFEA cohort. Eur J Epidemiol 2007;22(12):831-837. [doi: 10.1007/s10654-007-9194-2] [Medline: 17955333]
14. Russell CW, Boggs DA, Palmer JR, Rosenberg L. Use of a web-based questionnaire in the Black Women's Health Study. Am J Epidemiol 2010 Dec 1;172(11):1286-1291 [FREE Full text] [doi: 10.1093/aje/kwq310] [Medline: 20937635]
15. Turner C, Bain C, Schluter PJ, Yorkston E, Bogossian F, McClure R, NursesMidwives e-cohort Group. Cohort Profile: The Nurses and Midwives e-Cohort Study - a novel electronic longitudinal study. Int J Epidemiol 2009 Feb;38(1):53-60 [FREE Full text] [doi: 10.1093/ije/dym294] [Medline: 18202083]
16. West R, Gilsenan A, Coste F, Zhou X, Brouard R, Nonnemaker J, et al. The ATTEMPT cohort: a multi-national longitudinal study of predictors, patterns and consequences of smoking cessation; introduction and evaluation of internet recruitment and data collection methods. Addiction 2006 Sep;101(9):1352-1361. [doi: 10.1111/j.1360-0443.2006.01534.x] [Medline: 16911736]
17. Brouwer W, Oenema A, Raat H, Crutzen R, de Nooijer J, de Vries NK, et al. Characteristics of visitors and revisitors to an Internet-delivered computer-tailored lifestyle intervention implemented for use by the general public. Health Educ Res 2010 Aug;25(4):585-595 [FREE Full text] [doi: 10.1093/her/cyp063] [Medline: 19897515]
18. Niessen MA, Laan EL, Robroek SJ, Essink-Bot ML, Peek N, Kraaijenhagen RA, et al. Determinants of participation in a web-based health risk assessment and consequences for health promotion programs. J Med Internet Res 2013;15(8):e151 [FREE Full text] [doi: 10.2196/jmir.2387] [Medline: 23933650]
19. Robroek SJ, Lindeboom DE, Burdorf A. Initial and sustained participation in an internet-delivered long-term worksite health promotion program on physical activity and nutrition. J Med Internet Res 2012;14(2):e43 [FREE Full text] [doi: 10.2196/jmir.1788] [Medline: 22390886]
20. Spittaels H, De Bourdeaudhuij I, Brug J, Vandelanotte C. Effectiveness of an online computer-tailored physical activity intervention in a real-life setting. Health Educ Res 2007 Jun;22(3):385-396 [FREE Full text] [doi: 10.1093/her/cyl096] [Medline: 16971674]
21. Van 't Riet J, Crutzen R, De Vries H. Investigating predictors of visiting, using, and revisiting an online health-communication program: a longitudinal study. J Med Internet Res 2010;12(3):e37 [FREE Full text] [doi: 10.2196/jmir.1345] [Medline: 20813716]
22. Verheijden MW, Jans MP, Hildebrandt VH, Hopman-Rock M. Rates and determinants of repeated participation in a web-based behavior change program for healthy body weight and healthy lifestyle. J Med Internet Res 2007;9(1):e1 [FREE Full text] [doi: 10.2196/jmir.9.1.e1] [Medline: 17478410]
23. Reips UD. Standards for Internet-based experimenting. Exp Psychol 2002;49(4):243-256. [Medline: 12455331]
24. Bowen DJ, Kuniyuki A, Shattuck A, Nixon DW, Sponzo RW. Results of a volunteer program to conduct dietary intervention research for women. Ann Behav Med 2000;22(1):94-100. [Medline: 10892534]
25. Hallowell N, Cooke S, Crawford G, Lucassen A, Parker M, Snowdon C. An investigation of patients' motivations for their participation in genetics-related research. J Med Ethics 2010 Jan;36(1):37-45. [doi: 10.1136/jme.2009.029264] [Medline: 20026692]
26. Kirkland SA, Raina PS, Wolfson C, Strople G, Kits O, Dukeshire S, et al. Exploring the acceptability and feasibility of conducting a large longitudinal population-based study in Canada. Can J Aging 2009 Sep;28(3):231-242. [doi: 10.1017/S0714980809990043] [Medline: 19860978]
27. Mein G, Seale C, Rice H, Johal S, Ashcroft RE, Ellison G, et al. Altruism and participation in longitudinal health research? Insights from the Whitehall II Study. Soc Sci Med 2012 Dec;75(12):2345-2352. [doi: 10.1016/j.socscimed.2012.09.006] [Medline: 23031604]
28. Williams B, Entwistle V, Haddow G, Wells M. Promoting research participation: why not advertise altruism? Soc Sci Med 2008 Apr;66(7):1451-1456. [doi: 10.1016/j.socscimed.2007.12.013] [Medline: 18222579]
29. Hercberg S, Castetbon K, Czernichow S, Malon A, Mejean C, Kesse E, et al. The Nutrinet-Santé Study: a web-based prospective study on the relationship between nutrition and health and determinants of dietary patterns and nutritional status. BMC Public Health 2010;10:242 [FREE Full text] [doi: 10.1186/1471-2458-10-242] [Medline: 20459807]
30. Touvier M, Méjean C, Kesse-Guyot E, Pollet C, Malon A, Castetbon K, et al. Comparison between web-based and paper versions of a self-administered anthropometric questionnaire. Eur J Epidemiol 2010 May;25(5):287-296. [doi: 10.1007/s10654-010-9433-9] [Medline: 20191377]
31. Touvier M, Kesse-Guyot E, Méjean C, Pollet C, Malon A, Castetbon K, et al. Comparison between an interactive web-based self-administered 24 h dietary record and an interview by a dietitian for large-scale epidemiological studies. Br J Nutr 2011 Apr;105(7):1055-1064. [doi: 10.1017/S0007114510004617] [Medline: 21080983]
32. Vergnaud AC, Touvier M, Méjean C, Kesse-Guyot E, Pollet C, Malon A, et al. Agreement between web-based and paper versions of a socio-demographic questionnaire in the NutriNet-Santé study. Int J Public Health 2011 Aug;56(4):407-417. [doi: 10.1007/s00038-011-0257-5] [Medline: 21538094]
33. Hercberg S, Chat-Yung S, Chaulia M. The French National Nutrition and Health Program: 2001-2006-2010. Int J Public Health 2008;53(2):68-77. [Medline: 18681335]
34. Status WECOP, Habicht J. Physical Status: The Use and Interpretation of Anthropometry. Geneva: World Health Organization; 1995.
35. Dunn KM, Jordan K, Lacey RJ, Shapley M, Jinks C. Patterns of consent in epidemiologic research: evidence from over 25,000 responders. Am J Epidemiol 2004 Jun 1;159(11):1087-1094 [FREE Full text] [doi: 10.1093/aje/kwh141] [Medline: 15155293]
36. Eagan TM, Eide GE, Gulsvik A, Bakke PS. Nonresponse in a community cohort study: predictors and consequences for exposure-disease associations. J Clin Epidemiol 2002 Aug;55(8):775-781. [Medline: 12384191]
37. Shahar E, Folsom AR, Jackson R. The effect of nonresponse on prevalence estimates for a referent population: insights from a population-based cohort study. Atherosclerosis Risk in Communities (ARIC) Study Investigators. Ann Epidemiol 1996 Nov;6(6):498-506. [Medline: 8978880]
38. Cunradi CB, Moore R, Killoran M, Ames G. Survey nonresponse bias among young adults: the role of alcohol, tobacco, and drugs. Subst Use Misuse 2005;40(2):171-185. [Medline: 15770883]
39. Wild TC, Cunningham J, Adlaf E. Nonresponse in a follow-up to a representative telephone survey of adult drinkers. J Stud Alcohol 2001 Mar;62(2):257-261. [Medline: 11327192]
40. Corbie-Smith GM. Minority recruitment and participation in health research. N C Med J 2004;65(6):385-387. [Medline: 15714732]
41. van Gelder MM, Bretveld RW, Roeleveld N. Web-based questionnaires: the future in epidemiology? Am J Epidemiol 2010 Dec 1;172(11):1292-1298 [FREE Full text] [doi: 10.1093/aje/kwq291] [Medline: 20880962]
42. IPSOS Survey. Forum Science, Recherche et Société, organized by Le Monde et La Recherche URL: http://www.axa-research.org/fr/forum-sciences-recherche-et-societe-au-college-de-france [accessed 2014-06-25] [WebCite Cache ID 6QamsQva6]
43. Joinson A. Social desirability, anonymity, and Internet-based questionnaires. Behav Res Methods Instrum Comput 1999 Aug;31(3):433-438. [Medline: 10502866]
44. Lassale C, Péneau S, Touvier M, Julia C, Galan P, Hercberg S, et al. Validity of web-based self-reported weight and height: results of the Nutrinet-Santé study. J Med Internet Res 2013;15(8):e152 [FREE Full text] [doi: 10.2196/jmir.2575] [Medline: 23928492]