» Articles » PMID: 28152005

The DONE Framework: Creation, Evaluation, and Updating of an Interdisciplinary, Dynamic Framework 2.0 of Determinants of Nutrition and Eating

Overview
Journal PLoS One
Date 2017 Feb 3
PMID 28152005
Citations 72
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Concepts of healthy and environmentally sustainable diets clash with a life in transition - Findings from a qualitative study in urban Burkina Faso.

Fulbert H, Zorome S, Millogo R, Danquah I, Herrmann A Glob Health Action. 2025; 18(1):2457193.

PMID: 39935418 PMC: 11823391. DOI: 10.1080/16549716.2025.2457193.


The impact of visual fidelity on screen-based virtual reality food choices: A randomized pilot study.

Curi Braga B, Sajjadi P, Bagher M, Klippel A, Menold J, Masterson T PLoS One. 2025; 20(1):e0312772.

PMID: 39883733 PMC: 11781705. DOI: 10.1371/journal.pone.0312772.


Determining food choice motivations in Turkish adults: sustainable and healthy eating behavior, ecological footprint awareness, and food insecurity perspective.

Irgat S, Bakirhan H, Bakirhan Y, Sonkaya Z BMC Public Health. 2024; 24(1):3547.

PMID: 39707303 PMC: 11660712. DOI: 10.1186/s12889-024-21091-7.


Socio-Demographic Influences on Dietary Habits and Nutritional Awareness: A Case Study of Polish Biathlon Association National Team Members.

Gorka-Chowaniec A, Niewczas-Dobrowolska M, Akbas A, Bezuglov E, Sikora T, Waskiewicz Z Nutrients. 2024; 16(21).

PMID: 39519616 PMC: 11547843. DOI: 10.3390/nu16213784.


Updated-Food Choice Questionnaire: Cultural Adaptation and Validation in a Spanish-Speaking Population from Mexico.

Salas-Garcia M, Bernal-Orozco M, Diaz-Lopez A, Betancourt-Nunez A, Nava-Amante P, Danquah I Nutrients. 2024; 16(21).

PMID: 39519583 PMC: 11548158. DOI: 10.3390/nu16213749.


References
1.
Schwarzer R . Self-regulatory Processes in the Adoption and Maintenance of Health Behaviors. J Health Psychol. 2011; 4(2):115-27. DOI: 10.1177/135910539900400208. View

2.
Baranowski T, Cullen K, Nicklas T, Thompson D, Baranowski J . Are current health behavioral change models helpful in guiding prevention of weight gain efforts?. Obes Res. 2003; 11 Suppl:23S-43S. DOI: 10.1038/oby.2003.222. View

3.
Sleddens E, Kroeze W, Kohl L, Bolten L, Velema E, Kaspers P . Correlates of dietary behavior in adults: an umbrella review. Nutr Rev. 2015; 73(8):477-99. PMC: 4502713. DOI: 10.1093/nutrit/nuv007. View

4.
Symmank C, Mai R, Hoffmann S, Stok F, Renner B, Lien N . Predictors of food decision making: A systematic interdisciplinary mapping (SIM) review. Appetite. 2016; 110:25-35. DOI: 10.1016/j.appet.2016.11.023. View

5.
Furst T, Connors M, Bisogni C, Sobal J, Falk L . Food choice: a conceptual model of the process. Appetite. 1996; 26(3):247-65. DOI: 10.1006/appe.1996.0019. View