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Cited by 26

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Frequent Nutritional Feedback, Personalized Advice, and Behavioral Changes: Findings from the European Food4Me Internet-Based RCT

Celis-Morales, Carlos, Livingstone, Katherine M., Petermann-Rocha, Fanny, Navas-Carretero, Santiago, San-Cristobal, Rodrigo, O'Donovan, Clare B., Moschonis, George, Manios, Yannis, Traczyk, Iwona, Drevon, Christian A., Daniel, Hannelore, Marsaux, Cyril F.M., Saris, Wim H.M., Fallaize, Rosalind, Macready, Anna L., Lovegrove, Julie A., Gibney, Mike, Gibney, Eileen R., Walsh, Marianne, Brennan, Lorraine, Martinez, J. Alfredo, Mathers, John C.·2019·American Journal of Preventive Medicine

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Crossref · 10.1016/j.amepre.2019.03.024

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Citations

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1 retracted

Show all 10 references

Research works printed but not linked: 19

  1. Ezzati, 2013, Behavioral and dietary risk factors for noncommunicable diseases, N Engl J Med, 369, 954, 10.1056/NEJMra1203528 · DOI · Paper page
  2. Celis-Morales, 2015, Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries, Genes Nutr, 10, 450, 10.1007/s12263-014-0450-2 · DOI
  3. Celis-Morales, 2017, Effect of personalized nutrition on health-related behaviour change: evidence from the Food4me European randomized controlled trial, Int J Epidemiol, 46, 578
  4. Schippers, 2017, A meta-analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration, Obes Rev, 18, 450, 10.1111/obr.12492 · DOI · Paper page
  5. Lara, 2014, Association of behaviour change techniques with effectiveness of dietary interventions among adults of retirement age: a systematic review and meta-analysis of randomised controlled trials, BMC Med, 12, 177, 10.1186/s12916-014-0177-3 · DOI
  6. Forster, 2016, A dietary feedback system for the delivery of consistent personalized dietary advice in the web-based multicenter Food4Me study, J Med Internet Res, 18, e150, 10.2196/jmir.5620 · DOI
  7. Marshall, 2016, Reproducibility of the online Food4Me food-frequency questionnaire for estimating dietary intakes across Europe, J Nutr, 146, 1068, 10.3945/jn.115.225078 · DOI
  8. Zomer, 2016, Interventions that cause weight loss and the impact on cardiovascular risk factors: a systematic review and meta-analysis, Obes Rev, 17, 1001, 10.1111/obr.12433 · DOI · Paper page
  9. Guenther, 2013, Update of the healthy eating index: HEI-2010, J Acad Nutr Diet, 113, 569, 10.1016/j.jand.2012.12.016 · DOI · Paper page
  10. Marsaux, 2016, Objectively measured physical activity in European adults: cross-sectional findings from the Food4Me study, PLOS ONE, 11, 10.1371/journal.pone.0150902 · DOI
  11. Sterne, 2009, Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls, BMJ, 338, b2393, 10.1136/bmj.b2393 · DOI · Paper page
  12. Liu, 2015, Multiple imputation by fully conditional specification for dealing with missing data in a large epidemiologic study, Int J Stat Res, 4, 287, 10.6000/1929-6029.2015.04.03.7 · DOI · Paper page
  13. Livingstone, 2016, Profile of European adults interested in internet-based personalised nutrition: the Food4Me study, Eur J Nutr, 55, 759, 10.1007/s00394-015-0897-y · DOI
  14. 2016, Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants, Lancet, 387, 1377
  15. Strazzullo, 2009, Salt intake, stroke, and cardiovascular disease: meta-analysis of prospective studies, BMJ, 339, b4567, 10.1136/bmj.b4567 · DOI · Paper page
  16. Onvani, 2017, Adherence to the Healthy Eating Index and Alternative Healthy Eating Index dietary patterns and mortality from all causes, cardiovascular disease and cancer: a meta-analysis of observational studies, J Hum Nutr Diet, 30, 216, 10.1111/jhn.12415 · DOI
  17. O'Brien, 2014, Participants in an online weight loss program can improve diet quality during weight loss: a randomized controlled trial, Nutr J, 13, 82, 10.1186/1475-2891-13-82 · DOI
  18. Brunner, 2007, Dietary advice for reducing cardiovascular risk, Cochrane Database Syst Rev, 10.1002/14651858.CD002128.pub3 · DOI
  19. Yetter, 2010, Differences in responses to Web and paper surveys among school professionals, Behav Res Methods, 42, 266, 10.3758/BRM.42.1.266 · DOI

Cited by

Metadata

Authors
Celis-Morales, C., Livingstone, K. M., Petermann-Rocha, F., Navas-Carretero, S., San-Cristobal, R., O'Donovan, C. B., Moschonis, G., Manios, Y., Traczyk, I., Drevon, C. A., Daniel, H., Marsaux, C. F. M., Saris, W. H. M., Fallaize, R., Macready, A. L., Lovegrove, J. A., Gibney, M., Gibney, E. R., Walsh, M., Brennan, L., Martinez, J. A., & Mathers, J. C.
Venue
American Journal of Preventive Medicine
Publisher
Elsevier BV
Published
2019-08
Volume
57
Issue
2
Pages
209-219
ISSN
0749-3797
Cited by
26
References
10
Language
en
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Funders
European Commission

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.