4.6 Article

The DONE framework: Creation, evaluation, and updating of an interdisciplinary, dynamic framework 2.0 of determinants of nutrition and eating

期刊

PLOS ONE
卷 12, 期 2, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0171077

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资金

  1. DEterminants of DIet and Physical ACtivity (DEDIPAC) knowledge hub
  2. Joint Programming Initiative 'Healthy Diet for a Healthy Life'
  3. Research Foundation Flanders
  4. Finnish Funding Agency for Technology and Innovation (Tekes)
  5. Institut National de la Recherche Agronomique (INRA)
  6. Federal Ministry of Education and Research (BMBF)
  7. Health Research Board (HRB)
  8. Ministry of Education, University and Research/Ministry of Agriculture Food and Forestry Policies
  9. Netherlands Organisation for Health Research and Development (ZonMw)
  10. Research Council of Norway, Division for Society and Health
  11. National Centre for Research and Development
  12. Carlos III Institute of Health (ISCIII)
  13. Medical Research Council (MRC)

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The question of which factors drive human eating and nutrition is a key issue in many branches of science. We describe the creation, evaluation, and updating of an interdisciplinary, interactive, and evolving framework 2.0 of Determinants Of Nutrition and Eating (DONE). The DONE framework was created by an interdisciplinary workgroup in a multiphase, multimethod process. Modifiability, relationship strength, and population-level effect of the determinants were rated to identify areas of priority for research and interventions. External experts positively evaluated the usefulness, comprehensiveness, and quality of the DONE framework. An approach to continue updating the framework with the help of experts was piloted. The DONE framework can be freely accessed (http://uni-konstanz.de/DONE) and used in a highly flexible manner: determinants can be sorted, filtered and visualized for both very specific research questions as well as more general queries. The dynamic nature of the framework allows it to evolve as experts can continually add new determinants and ratings. We anticipate this framework will be useful for research prioritization and intervention development.

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