Report on gaps and needs: potentials and limitations for the use of consumer generated food consumption data in nutrition research: D7.5
Report on gaps and needs: potentials and limitations for the use of consumer generated food consumption data in nutrition research: D7.5
Aim of the present deliverable 7.5 was to identify the potentials and limitations of the tools collected in the inventory of deliverable 7.1, for getting a better understanding of the determinants of food consumption behavior. For that purpose, we investigated the data collection process of food consumption data by these tools, including its purpose, the applied dietary assessment methodology, the types of nutrients calculated and the possible contextual influences on users’ dietary behavior. In addition, in order to get an overview ofthe data associated with the collected dietary assessment data, we investigated the types of contextual data collected by the tools and the sources for exchanging and integrating contextual data from external sources such as wearables, partner apps and aggregators. We found that the vast majority of tools in the investigated sample collected consumer generated food consumption data using food diaries allowing for the input of a large variety of food consumption data from various sources. The quality of the compilation process of the underlying pre-compiled as well as user-generated food databases remains undocumented for the vast majority of investigated tools. Contextual data collected by the investigated tool, in addition to food consumption data, seems to bear interesting opportunities for a better understanding of the determinants of food consumption behavior. The type and variability of this data, however, appears to emphasize contextual data related to weight management, which has been identified as purpose for the majority of tools. Similarly, the large amount of potential influences aimed at changing users’ food consumption behaviors (e.g., reminders, social support) and the low level of detail regarding food composition estimations might also be a consequence of the numerous tools aiming at weight management in the inventory. Considering the lack of information provided by the investigated dietary assessment tools regarding the procedures and protocols for data access, the emerging networks of consumer generated data might provide a more efficient opportunity for researchers who want to access and integrate food consumption data with relevant contextual data. Further research is needed, however, in order to better understand the nature of this data networks, their access points and the types and structures of data they exchange. Supporting the compilation of food composition databases, the harmonization of consumer generated data, and the reflection on and interpretation of collected users data, might offer potentially important value propositions RICHFIELDS could provide for its various stakeholders. Application vendors, users as well as researchers could benefit from such services.
Maringer, Marcus
14c80c9e-a943-4d91-848d-d647cc833ce7
Ekman, Susanne
039751fa-e5cf-466c-89ff-a4fa99556946
Normann, A.
dd0250cf-d8fd-4689-a597-4a0bdd672347
Klepacz, Naomi
31061121-a4ac-4a6b-a110-bcc6afd554fd
Raats, Monique M.
50c792ae-b24d-4e84-b9e6-5e7d475c7126
Geelen, Anouk
a1ccaee8-a603-462e-bbbf-57e16b9af3d5
2017
Maringer, Marcus
14c80c9e-a943-4d91-848d-d647cc833ce7
Ekman, Susanne
039751fa-e5cf-466c-89ff-a4fa99556946
Normann, A.
dd0250cf-d8fd-4689-a597-4a0bdd672347
Klepacz, Naomi
31061121-a4ac-4a6b-a110-bcc6afd554fd
Raats, Monique M.
50c792ae-b24d-4e84-b9e6-5e7d475c7126
Geelen, Anouk
a1ccaee8-a603-462e-bbbf-57e16b9af3d5
Maringer, Marcus, Ekman, Susanne, Normann, A., Klepacz, Naomi, Raats, Monique M. and Geelen, Anouk
(2017)
Report on gaps and needs: potentials and limitations for the use of consumer generated food consumption data in nutrition research: D7.5
European Commission
39pp.
Record type:
Monograph
(Project Report)
Abstract
Aim of the present deliverable 7.5 was to identify the potentials and limitations of the tools collected in the inventory of deliverable 7.1, for getting a better understanding of the determinants of food consumption behavior. For that purpose, we investigated the data collection process of food consumption data by these tools, including its purpose, the applied dietary assessment methodology, the types of nutrients calculated and the possible contextual influences on users’ dietary behavior. In addition, in order to get an overview ofthe data associated with the collected dietary assessment data, we investigated the types of contextual data collected by the tools and the sources for exchanging and integrating contextual data from external sources such as wearables, partner apps and aggregators. We found that the vast majority of tools in the investigated sample collected consumer generated food consumption data using food diaries allowing for the input of a large variety of food consumption data from various sources. The quality of the compilation process of the underlying pre-compiled as well as user-generated food databases remains undocumented for the vast majority of investigated tools. Contextual data collected by the investigated tool, in addition to food consumption data, seems to bear interesting opportunities for a better understanding of the determinants of food consumption behavior. The type and variability of this data, however, appears to emphasize contextual data related to weight management, which has been identified as purpose for the majority of tools. Similarly, the large amount of potential influences aimed at changing users’ food consumption behaviors (e.g., reminders, social support) and the low level of detail regarding food composition estimations might also be a consequence of the numerous tools aiming at weight management in the inventory. Considering the lack of information provided by the investigated dietary assessment tools regarding the procedures and protocols for data access, the emerging networks of consumer generated data might provide a more efficient opportunity for researchers who want to access and integrate food consumption data with relevant contextual data. Further research is needed, however, in order to better understand the nature of this data networks, their access points and the types and structures of data they exchange. Supporting the compilation of food composition databases, the harmonization of consumer generated data, and the reflection on and interpretation of collected users data, might offer potentially important value propositions RICHFIELDS could provide for its various stakeholders. Application vendors, users as well as researchers could benefit from such services.
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Published date: 2017
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Local EPrints ID: 483714
URI: http://eprints.soton.ac.uk/id/eprint/483714
PURE UUID: b6a0c706-840b-4902-baf3-e568650c5db6
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Date deposited: 03 Nov 2023 17:58
Last modified: 18 Mar 2024 04:07
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Contributors
Author:
Marcus Maringer
Author:
Susanne Ekman
Author:
A. Normann
Author:
Naomi Klepacz
Author:
Monique M. Raats
Author:
Anouk Geelen
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