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Cited by 126

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Dietary and Physical Activity Behaviors Among High School Students — Youth Risk Behavior Survey, United States, 2019

Merlo, Caitlin L., Jones, Sherry Everett, Michael, Shannon L., Chen, Tiffany J., Sliwa, Sarah A., Lee, Seung Hee, Brener, Nancy D., Lee, Sarah M., Park, Sohyun·2020·MMWR Supplements

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Citations

Cites

Research works printed but not linked: 14

  1. Kann, 2016, Youth risk behavior surveillance—United States, 2015., MMWR Surveill Summ, 65, 10.15585/mmwr.ss6506a1 · DOI · Paper page
  2. Underwood, 2020, Overview and methods for the Youth Risk Behavior Surveillance System—United States, 2019, MMWR Suppl, 69, 10.15585/mmwr.su6901a1 · DOI · Paper page
  3. Rasberry, 2017, Health-related behaviors and academic achievement among high school students—United States, 2015., MMWR Morb Mortal Wkly Rep, 66, 921, 10.15585/mmwr.mm6635a1 · DOI
  4. Andes, 2019, Prevalence of prediabetes among adolescents and young adults in the United States, 2005–2016., JAMA Pediatr, 174, e194498, 10.1001/jamapediatrics.2019.4498 · DOI · Paper page
  5. Moore, 2016, Common ways Americans are incorporating fruits and vegetables into their diet: intake patterns by meal, source and form, National Health and Nutrition Examination Survey 2007–2010., Public Health Nutr, 19, 2535, 10.1017/S1368980016000586 · DOI
  6. CDC, 2011, School health guidelines to promote healthy eating and physical activity., MMWR Recomm Rep, 60
  7. Leung, 2018, Sugar sweetened beverage and water intake in relation to diet quality in U.S. children., Am J Prev Med, 54, 394, 10.1016/j.amepre.2017.11.005 · DOI
  8. Rosinger, 2017, Sugar-sweetened beverage consumption among U.S. youth, 2011–2014., NCHS Data Brief, 1
  9. Bassett, 2013, Estimated energy expenditures for school-based policies and active living., Am J Prev Med, 44, 108, 10.1016/j.amepre.2012.10.017 · DOI
  10. Spencer, 2015, Understanding gender norms, nutrition, and physical activity in adolescent girls: a scoping review., Int J Behav Nutr Phys Act, 12, 6, 10.1186/s12966-015-0166-8 · DOI
  11. Ritchie, 2018, Associations of community programs and policies with children’s dietary intakes: the Healthy Communities Study., Pediatr Obes, 13, 14, 10.1111/ijpo.12440 · DOI
  12. Wang, 2015, What childhood obesity prevention programmes work? A systematic review and meta-analysis., Obes Rev, 16, 547, 10.1111/obr.12277 · DOI · Paper page
  13. Pate, 2018, Associations between community programmes and policies and children’s physical activity: the Healthy Communities Study., Pediatr Obes, 13, 72, 10.1111/ijpo.12426 · DOI
  14. Eaton, 2013, A comparison of fruit and vegetable intake estimates from three survey question sets to estimates from 24-hour dietary recall interviews., J Acad Nutr Diet, 113, 1165, 10.1016/j.jand.2013.05.013 · DOI

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Metadata

Authors
Merlo, C. L., Jones, S. E., Michael, S. L., Chen, T. J., Sliwa, S. A., Lee, S. H., Brener, N. D., Lee, S. M., & Park, S.
Venue
MMWR Supplements
Published
2020-08-21
Volume
69
Issue
1
Pages
64-76
ISSN
  • 2380-8950
  • 2380-8942
Cited by
126
References
1

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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.