The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Social Media as a Nutrition Resource for Athletes: A Cross-Sectional Survey
Abstract
Social media contains a wealth of nutrition information and proposes a cost-effective, highly engaging platform to deliver nutrition information to athletes. This study used an online questionnaire to determine whether New Zealand athletes are using social media as a source of nutrition information and to understand perceptions of social media as a nutrition resource. Quantitative data were analyzed using t tests, chi-squared tests, and logistic regression analysis. Inductive thematic analysis was adopted for the qualitative data. From the 306 athletes who completed the questionnaire, 65% reported social media use for nutrition purposes in the past 12 months. Social media use was predicted by both athlete status and gender. Female athletes were more likely to have used social media for nutrition purposes (odds ratio = 2.7, 95% confidence interval [1.52, 4.62], p = .001) than males. Elite athletes were less likely to have used social media for nutrition (odds ratio = 0.44, 95% confidence interval [0.24, 0.83], p = .011) than recreational athletes. Athletes commonly used social media for practical nutrition purposes, including recipes and information about restaurants/cafes. Perceived advantages of social media as a nutrition resource included ease of access, well-presented information, personal connectedness, and information richness. Athletes’ primary concern for obtaining nutrition information from social media was information unreliability.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Bourke et al. also found that 65% of New Zealand athletes used social media for nutrition information, with recreational athletes and females significantly more likely to do so than elite athletes [100].”
From Optimizing Performance Nutrition for Adolescent Athletes: A Review of Dietary Needs, Risks, and Practical Strategies (2025) · cites this paper as [100]
In the citing paper
“While social media was valued for its accessibility and visual appeal, 84% of respondents expressed concern about the reliability of information.”
From Optimizing Performance Nutrition for Adolescent Athletes: A Review of Dietary Needs, Risks, and Practical Strategies (2025) · cites this paper as [100]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.1933 · Cited by 2,517
Thomas, D. T., Erdman, K. A., & Burke, L. M. (2016) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2015.12.006 · Cited by 1,359
Burns, R. D., Schiller, M. R., Merrick, M. A., & Wolf, K. N. (2004) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2003.11.013 · Cited by 185
Research works printed but not linked: 26
- Carrotte, E.R., Vella, A.M., & Lim, M.S. (2015). Predictors of “liking” three types of health and fitness-related content on social media: A cross-sectional study. Journal of Medical Internet Research, 17(8), 205. PubMed ID: 26297689 doi:10.2196/jmir.4803 · DOI · Paper page
- Chou, W.-Y.S., Hunt, Y.M., Beckjord, E.B., Moser, R.P., & Hesse, B.W. (2009). Social media use in the United States: Implications for health communication. Journal of Medical Internet Research, 11(4), e48. PubMed ID: 19945947 doi:10.2196/jmir.1249 · DOI · Paper page
- Chung, C.F., Agapie, E., Schroeder, J., Mishra, S., Fogarty, J., & Munson, S.A. (2017). When personal tracking becomes social: Examining the use of Instagram for healthy eating. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Denver, CO, pp. 1674–1687. doi:10.1145/30254533025747 · DOI
- Heaney, S., O’Connor, H., Michael, S., Gifford, J., & Naughton, G. (2011). Nutrition knowledge in athletes: A systematic review. International Journal of Sport Nutrition and Exercise Metabolism, 21(3), 248–261. PubMed ID: 21719906 doi:10.1123/ijsnem.21.3.248 · DOI · Paper page
- Helm, J., & Jones, R.M. (2016). Practice paper of the Academy of Nutrition and Dietetics: Social media and the dietetics practitioner: Opportunities, challenges, and best practices. Journal of the Academy of Nutrition and Dietetics, 116(11), 1825–1835. PubMed ID: 27788767 doi:10.1016/j.jand.2016.09.003 · DOI
- Hull, M.V., Jagim, A.R., Oliver, J.M., Greenwood, M., Busteed, D.R., & Jones, M.T. (2016). Gender differences and access to a sports dietitian influence dietary habits of collegiate athletes. Journal of the International Society of Sports Nutrition, 13, 38. PubMed ID: 27777542 doi:10.1186/s12970-016-0149-4 · DOI · Paper page
- Jacobson, B.H., Sobonya, C., & Ransone, J. (2001). Nutrition practices and knowledge of college varsity athletes: A follow-up. Journal of Strength and Conditioning Research, 15(1), 63–68. PubMed ID: 11708709 doi:10.1519/1533-4287(2001)015<0063:NPAKOC>2.0.CO;2 · DOI · Paper page
- Khoo, C.S. (2014). Issues in information behaviour on social media. Library & Information Science Research, 24(2), 75.
- Lampe, C., Vitak, J., Gray, R., & Ellison, N.B. (2012). Perceptions of Facebook's value as an information source. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Austin, TX, pp. 3195–3204. doi:10.1145/2207676.2208739 · DOI
- Lis, D.M., Stellingwerff, T., Shing, C.M., Ahuja, K.D., & Fell, J.W. (2015). Exploring the popularity, experiences, and beliefs surrounding gluten-free diets in nonceliac athletes. International Journal of Sport Nutrition and Exercise Metabolism, 25(1), 37–45. PubMed ID: 24901744 doi:10.1123/ijsnem.2013-0247 · DOI · Paper page
- McCully, S.N., Don, B.P., & Updegraff, J.A. (2013). Using the Internet to help with diet, weight, and physical activity: Results from the Health Information National Trends Survey (HINTS). Journal of Medical Internet Research, 15(8), e148. PubMed ID: 23906945 doi:10.2196/jmir.2612 · DOI
- Oh, S., & Kim, S. (2014). College students’ use of social media for health in the USA and Korea. Information Research, 19(4), n4.
- Pálsdóttir, Á. (2014). Preferences in the use of social media for seeking and communicating health and lifestyle information. Information Research, 19(4), n4.
- Pollard, C.M., Pulker, C.E., Meng, X., Kerr, D.A., & Scott, J.A. (2015). Who uses the Internet as a source of nutrition and dietary information? An Australian population perspective. Journal of Medical Internet Research, 17(8), e209. PubMed ID: 26310192 doi:10.2196/jmir.4548 · DOI
- Ramaswami, C., Murugathasan, M., Narayanasamy, P., & Khoo, C.S. (2014). A survey of information sharing on Facebook. Information Research, 19(4), 247–249.
- Sin, S.-C.J., & Kim, K.-S. (2013). International students’ everyday life information seeking: The informational value of social networking sites. Library & Information Science Research, 35(2), 107–116. doi:10.1016/j.lisr.2012.11.006 · DOI
- Thomas, D.R. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27(2), 237–246. doi:10.1177/1098214005283748 · DOI · Paper page
- Torres-McGehee, T.M., Pritchett, K.L., Zippel, D., Minton, D.M., Cellamare, A., & Sibilia, M. (2012). Sports nutrition knowledge among collegiate athletes, coaches, athletic trainers, and strength and conditioning specialists. Journal of Athletic Training, 47(2), 205–211. PubMed ID: 22488287 doi:10.4085/1062-6050-47.2.205 · DOI · Paper page
- Trakman, G.L., Forsyth, A., Devlin, B.L., & Belski, R. (2016). A systematic review of athletes’ and coaches’ nutrition knowledge and reflections on the quality of current nutrition knowledge measures. Nutrients, 8(9), 570–593. doi:10.3390/nu8090570 · DOI · Paper page
- Vaterlaus, J.M., Patten, E.V., Roche, C., & Young, J.A. (2015). #Gettinghealthy: The perceived influence of social media on young adult health behaviors. Computers in Human Behavior, 45, 151–157. doi:10.1016/j.chb.2014.12.013 · DOI · Paper page
- Visschers, V.H.M., Hartmann, C., Leins-Hess, R., Dohle, S., & Siegrist, M. (2013). A consumer segmentation of nutrition information use and its relation to food consumption behaviour. Food Policy, 42, 71–80. doi:10.1016/j.foodpol.2013.07.003 · DOI
- Williamson, K., Qayyum, A., Hider, P., & Liu, Y.-H. (2012). Young adults and everyday-life information: The role of news media. Library & Information Science Research, 34(4), 258–264. doi:10.1016/j.lisr.2012.05.001. · DOI
- Zhang, Y., He, D., & Sang, Y. (2013). Facebook as a platform for health information and communication: A case study of a diabetes group. Journal of Medical Systems, 37(3), 9942. PubMed ID: 23588823 doi:10.1007/s10916-013-9942-7 · DOI
- Zheng, Y. (2014). Patterns and motivations of young adults’ health information acquisitions on Facebook. Journal of Consumer Health on the Internet, 18(2), 157–175. doi:10.1080/15398285.2014.902275 · DOI
- Zilberman, D., & Kaplan, S. (2014). What the adoption literature can teach us about social media and network effects on food choices. Paper presented at the AAEA/EAAE/CAES Joint Symposium: Social Networks, Social Media and the Economics of Food, Montreal, Canada.
- Zuniga, K.E., Downey, D.L., McCluskey, R., & Rivers, C.A. (2017). Need for and interest in a sports nutrition mobile device application among Division I collegiate athletes. International Journal of Sport Nutrition and Exercise Metabolism, 27(1), 43–49. PubMed ID: 27284955 doi:10.1123/ijsnem.2015-0305 · DOI · Paper page
Cited by
Everett, S. (2025) · Nutrients · doi:10.3390/nu17172792 · Cited by 37
Metadata
- Authors
- Bourke, B. E. P., Baker, D. F., & Braakhuis, A. J.
- Affiliations
- The University of Auckland
- High Performance Sport New Zealand
- Venue
- International Journal of Sport Nutrition and Exercise Metabolism
- Publisher
- Human Kinetics
- Published
- 2019-07-01
- Volume
- 29
- Issue
- 4
- Pages
- 364-370
- ISSN
- 1526-484X
- 1543-2742
- Cited by
- 25
- References
- 3
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.