Evidence map›Paper›PMID 34999744›Full record

ArticleAdvances in nutrition (Bethesda, Md.)2022

Perspective: A Framework for Addressing Dynamic Food Consumption Processes.

Jennifer C Taylor, Margaret Allman-Farinelli, Juliana Chen, Julia M Gauglitz, Dina Hamideh, Marta M Jankowska, Abigail J Johnson, Anna Rangan, Donna Spruijt-Metz, Jiue-An Yang and 1 more

Abstract read
In one paragraph

Article in Advances in nutrition (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jennifer C TaylorThe Design Lab, University of California, San Diego, San Diego, CA, USA.ORCID 0000-0001-7527-897X
Margaret Allman-FarinelliCharles Perkins Centre, University of Sydney, Sydney, Australia.ORCID 0000-0002-6478-1374
Juliana ChenCharles Perkins Centre, University of Sydney, Sydney, Australia.ORCID 0000-0003-2844-6947
Julia M GauglitzSkaggs School of Pharmacy & Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA.ORCID 0000-0003-3146-2489
Dina HamidehSkaggs School of Pharmacy & Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA.
Marta M JankowskaDepartment of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA.ORCID 0000-0002-8688-1181
Abigail J JohnsonDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-5998-4724
Anna RanganCharles Perkins Centre, University of Sydney, Sydney, Australia.ORCID 0000-0003-1815-844X
Donna Spruijt-MetzCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-3884-4300
Jiue-An YangDepartment of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA.ORCID 0000-0003-4246-0470
Eric HeklerThe Design Lab, University of California, San Diego, San Diego, CA, USA.ORCID 0000-0002-7434-0775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of food consumption, diet, and related concepts is motivated by diverse goals, including understanding why food consumption impacts our health, and why we eat the foods we do. These varied motivations can make it challenging to define and measure consumption, as it can be specified across nearly infinite dimensions-from micronutrients to carbon footprint to food preparation. This challenge is amplified by the dynamic nature of food consumption processes, with the underlying phenomena of interest often based on the nature of repeated interactions with food occurring over time. This complexity underscores a need to not only improve how we measure food consumption but is also a call to support theoreticians in better specifying what, how, and why food consumption occurs as part of processes, as a prerequisite step to rigorous measurement. The purpose of this Perspective article is to offer a framework, the consumption process framework, as a tool that researchers in a theoretician role can use to support these more robust definitions of consumption processes. In doing so, the framework invites theoreticians to be a bridge between practitioners who wish to measure various aspects of food consumption and methodologists who can develop measurement protocols and technologies that can support measurement when consumption processes are clearly defined. In the paper we justify the need for such a framework, introduce the consumption process framework, illustrate the framework via a use case, and discuss existing technologies that enable the use of this framework and, by extension, more rigorous study of consumption. This consumption process framework demonstrates how theoreticians could fundamentally shift how food consumption is defined and measured towards more rigorous study of what, how, and why food is eaten as part of dynamic processes and a deeper understanding of linkages between behavior, food, and health.

Indexed as

DietFoodFood HandlingHumansMotivationdietdietary assessmentdynamicseating behaviorfood consumptionfood loggingfood systemsprecision healthprecision nutritionsystems science

Identifiers

PMID34999744
PMCPMC9340970

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.