Abstract
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.
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.
Original language | English |
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Article number | e0171077 |
Number of pages | 23 |
Journal | PLoS One |
Volume | 12 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2 Feb 2017 |