Published on in Vol 15, No 9 (2013): September

Participant Profiles According to Recruitment Source in a Large Web-Based Prospective Study: Experience From the Nutrinet-Santé Study

Participant Profiles According to Recruitment Source in a Large Web-Based Prospective Study: Experience From the Nutrinet-Santé Study

Participant Profiles According to Recruitment Source in a Large Web-Based Prospective Study: Experience From the Nutrinet-Santé Study

Journals

  1. Lampuré A, Castetbon K, Deglaire A, Schlich P, Péneau S, Hercberg S, Méjean C. Associations between liking for fat, sweet or salt and obesity risk in French adults: a prospective cohort study. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  2. Andreeva V, Egnell M, Galan P, Feron G, Hercberg S, Julia C. Association of the Dietary Index Underpinning the Nutri-Score Label with Oral Health: Preliminary Evidence from a Large, Population-Based Sample. Nutrients 2019;11(9):1998 View
  3. Tran V, Ravaud P. COllaborative open platform E-cohorts for research acceleration in trials and epidemiology. Journal of Clinical Epidemiology 2020;124:139 View
  4. Sokol R, Fisher E, Hill J. Identifying Those Whom Health Promotion Hardly Reaches. Evaluation & the Health Professions 2015;38(4):518 View
  5. Marsaux C, Celis-Morales C, Hoonhout J, Claassen A, Goris A, Forster H, Fallaize R, Macready A, Navas-Carretero S, Kolossa S, Walsh M, Lambrinou C, Manios Y, Godlewska M, Traczyk I, Lovegrove J, Martinez J, Daniel H, Gibney M, Mathers J, Saris W, Kumar S. Objectively Measured Physical Activity in European Adults: Cross-Sectional Findings from the Food4Me Study. PLOS ONE 2016;11(3):e0150902 View
  6. Thomas S, Rouilly V, Patin E, Alanio C, Dubois A, Delval C, Marquier L, Fauchoux N, Sayegrih S, Vray M, Duffy D, Quintana-Murci L, Albert M, Abel L, Alcover A, Bousso P, Bruhns P, Cumano A, Daëron M, Demangel C, Deriano L, Di Santo J, Dromer F, Eberl G, Enninga J, Freitas A, Gelpi O, Gomperts-Boneca I, Hercberg S, Lantz O, Leclerc C, Mouquet H, Pellegrini S, Pol S, Rogge L, Sakuntabhai A, Schwartz O, Schwikowski B, Shorte S, Soumelis V, Tangy F, Tartour E, Toubert A, Ungeheuer M. The Milieu Intérieur study — An integrative approach for study of human immunological variance. Clinical Immunology 2015;157(2):277 View
  7. Vuorinen A, Erkkola M, Fogelholm M, Kinnunen S, Saarijärvi H, Uusitalo L, Näppilä T, Nevalainen J. Characterization and Correction of Bias Due to Nonparticipation and the Degree of Loyalty in Large-Scale Finnish Loyalty Card Data on Grocery Purchases: Cohort Study. Journal of Medical Internet Research 2020;22(7):e18059 View
  8. Debras C, Chazelas E, Srour B, Kesse-Guyot E, Julia C, Zelek L, Agaësse C, Druesne-Pecollo N, Galan P, Hercberg S, Latino-Martel P, Deschasaux M, Touvier M. Total and added sugar intakes, sugar types, and cancer risk: results from the prospective NutriNet-Santé cohort. The American Journal of Clinical Nutrition 2020;112(5):1267 View
  9. Nelson E, Hughes J, Oakes J, Pankow J, Kulasingam S. Estimation of Geographic Variation in Human Papillomavirus Vaccine Uptake in Men and Women: An Online Survey Using Facebook Recruitment. Journal of Medical Internet Research 2014;16(9):e198 View
  10. Christensen T, Riis A, Hatch E, Wise L, Nielsen M, Rothman K, Toft Sørensen H, Mikkelsen E. Costs and Efficiency of Online and Offline Recruitment Methods: A Web-Based Cohort Study. Journal of Medical Internet Research 2017;19(3):e58 View
  11. Schwingshackl L, Ruzanska U, Anton V, Wallroth R, Ohla K, Knüppel S, Schulze M, Pischon T, Deutschbein J, Schenk L, Warschburger P, Harttig U, Boeing H, Bergmann M. The NutriAct Family Study: a web-based prospective study on the epidemiological, psychological and sociological basis of food choice. BMC Public Health 2018;18(1) View
  12. Mishra G, Hockey R, Powers J, Loxton D, Tooth L, Rowlands I, Byles J, Dobson A. Recruitment via the Internet and Social Networking Sites: The 1989-1995 Cohort of the Australian Longitudinal Study on Women’s Health. Journal of Medical Internet Research 2014;16(12):e279 View
  13. Bedretdinova D, Fritel X, Panjo H, Ringa V. Prevalence of Female Urinary Incontinence in the General Population According to Different Definitions and Study Designs. European Urology 2016;69(2):256 View
  14. Feuillet T, Salze P, Charreire H, Menai M, Enaux C, Perchoux C, Hess F, Kesse-Guyot E, Hercberg S, Simon C, Weber C, Oppert J. Built environment in local relation with walking: Why here and not there?. Journal of Transport & Health 2016;3(4):500 View
  15. Méjean C, Szabo de Edelenyi F, Touvier M, Kesse-Guyot E, Julia C, Andreeva V, Hercberg S. 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 2014;16(8):e189 View
  16. Andreeva V, Deschamps V, Salanave B, Castetbon K, Verdot C, Kesse-Guyot E, Hercberg S. Comparison of Dietary Intakes Between a Large Online Cohort Study (Etude NutriNet-Santé) and a Nationally Representative Cross-Sectional Study (Etude Nationale Nutrition Santé) in France: Addressing the Issue of Generalizability in E-Epidemiology. American Journal of Epidemiology 2016;184(9):660 View
  17. Côté M, Lapointe A, Laramée C, Lemieux S, Desroches S, Belanger-Gravel A, Lamarche B. Beliefs Related to Participation in a Large Web-Based Prospective Survey on Diet and Health Among Individuals With a Low Socioeconomic Status: Qualitative Study. JMIR Formative Research 2019;3(4):e13854 View
  18. Dutheil F, Duclos M, Naughton G, Dewavrin S, Cornet T, Huguet P, Chatard J, Pereira B. WittyFit—Live Your Work Differently: Study Protocol for a Workplace-Delivered Health Promotion. JMIR Research Protocols 2017;6(4):e58 View
  19. Julia C, Péneau S, Andreeva V, Méjean C, Fezeu L, Galan P, Hercberg S, Smith B. Weight-Loss Strategies Used by the General Population: How Are They Perceived?. PLoS ONE 2014;9(5):e97834 View
  20. Andreeva V, Salanave B, Castetbon K, Deschamps V, Vernay M, Kesse-Guyot E, Hercberg S. Comparison of the sociodemographic characteristics of the large NutriNet-Santé e-cohort with French Census data: the issue of volunteer bias revisited. Journal of Epidemiology and Community Health 2015;69(9):893 View
  21. Kesse-Guyot E, Assmann K, Andreeva V, Castebon K, Méjean C, Touvier M, Salanave B, Deschamps V, Péneau S, Fezeu L, Julia C, Allès B, Galan P, Hercberg S. Lessons Learned From Methodological Validation Research in E-Epidemiology. JMIR Public Health and Surveillance 2016;2(2):e160 View
  22. Trébuchet A, Julia C, Fézeu L, Touvier M, Chaltiel D, Hercberg S, Galan P, Adjibade M, Kesse-Guyot E. Prospective association between several dietary scores and risk of cardiovascular diseases: Is the Mediterranean diet equally associated to cardiovascular diseases compared to National Nutritional Scores?. American Heart Journal 2019;217:1 View
  23. Méjean C, Lampuré A, Si Hassen W, Gojard S, Péneau S, Hercberg S, Castetbon K. Influence of food preparation behaviors on 5-year weight change and obesity risk in a French prospective cohort. International Journal of Behavioral Nutrition and Physical Activity 2018;15(1) View
  24. Tran V, Diard E, Ravaud P. Priorities to improve the care for chronic conditions and multimorbidity: a survey of patients and stakeholders nested within the ComPaRe e-cohort. BMJ Quality & Safety 2021;30(7):577 View
  25. Hatch E, Hahn K, Wise L, Mikkelsen E, Kumar R, Fox M, Brooks D, Riis A, Sorensen H, Rothman K. Evaluation of Selection Bias in an Internet-based Study of Pregnancy Planners. Epidemiology 2016;27(1):98 View
  26. Beslay M, Srour B, Méjean C, Allès B, Fiolet T, Debras C, Chazelas E, Deschasaux M, Wendeu-Foyet M, Hercberg S, Galan P, Monteiro C, Deschamps V, Calixto Andrade G, Kesse-Guyot E, Julia C, Touvier M, Souza Lopes A. Ultra-processed food intake in association with BMI change and risk of overweight and obesity: A prospective analysis of the French NutriNet-Santé cohort. PLOS Medicine 2020;17(8):e1003256 View
  27. Timon C, Walton J, Flynn A, Gibney E. Respondent Characteristics and Dietary Intake Data Collected Using Web-Based and Traditional Nutrition Surveillance Approaches: Comparison and Usability Study. JMIR Public Health and Surveillance 2021;7(4):e22759 View
  28. Lapointe A, Laramée C, Belanger-Gravel A, Buckeridge D, Desroches S, Garriguet D, Gauvin L, Lemieux S, Plante C, Lamarche B. NutriQuébec: a unique web-based prospective cohort study to monitor the population’s eating and other lifestyle behaviours in the province of Québec. BMJ Open 2020;10(10):e039889 View
  29. Schneider E, Sabate J, Bouchoucha M, Debras C, Touvier M, Hercberg S, Benamouzig R, Buscail C, Julia C. FODMAP Consumption by Adults from the French Population-Based NutriNet-Santé Cohort. The Journal of Nutrition 2021;151(10):3180 View
  30. Tran V, Riveros C, Clepier B, Desvarieux M, Collet C, Yordanov Y, Ravaud P. Development and Validation of the Long Coronavirus Disease (COVID) Symptom and Impact Tools: A Set of Patient-Reported Instruments Constructed From Patients’ Lived Experience. Clinical Infectious Diseases 2022;74(2):278 View
  31. Apol K, Lydersen L, Mortensen Ó, Weihe P, Á. Steig B, Andorsdóttir G, Gregersen N. FarGen – participants in the genetic research infrastructure of the Faroe Islands. Scandinavian Journal of Public Health 2022;50(7):980 View
  32. Tran V, Riveros C, Péan C, Czarnobroda A, Ravaud P. Patients’ perspective on how to improve the care of people with chronic conditions in France: a citizen science study within the ComPaRe e-cohort. BMJ Quality & Safety 2019;28(11):875 View
  33. Benoit L, Cambra C, Rouzier R, Cottu P, Rodrigues M, Reyal F, Research Network S, Bonneau C. Quality of Life in an e-Cohort of Women Treated by Endocrine Therapy for Early Breast Cancer. Clinical Breast Cancer 2022;22(3):e352 View
  34. Jardim M, Costa B, Pessoa M, Duarte C. Ultra-processed foods increase noncommunicable chronic disease risk. Nutrition Research 2021;95:19 View
  35. Hoffmann S, Paldam Folker A, Buskbjerg M, Paldam Folker M, Huber Jezek A, Lyngsø Svarta D, Nielsen Sølvhøj I, Thygesen L. Potential of Online Recruitment Among 15-25-Year Olds: Feasibility Randomized Controlled Trial. JMIR Formative Research 2022;6(5):e35874 View
  36. Debras C, Srour B, Chazelas E, Julia C, Kesse-Guyot E, Allès B, Fezeu L, Galan P, Hercberg S, Deschasaux-Tanguy M, Touvier M. Aliments ultra-transformés, maladies chroniques, et mortalité : résultats de la cohorte prospective NutriNet-Santé. Cahiers de Nutrition et de Diététique 2022;57(3):222 View
  37. Hennequin M, El Osta N, Munoz-Sanchez M, Vandenberghe Descamps M, Andreeva V, Feron G, Nicolas E, Pereira B, Peyron M, Cousson P, Sulmont-Rosse C, Faulks D. Age related impairments in ingestion from a large population based-sample. Appetite 2024;196:107287 View
  38. Duquenne P, Capperella J, Fezeu L, Srour B, Benasi G, Hercberg S, Touvier M, Andreeva V, St-Onge M. The association between ultra-processed food consumption and chronic insomnia in the NutriNet-Santé Study. Journal of the Academy of Nutrition and Dietetics 2024 View