Evidence map›Paper›PMID 34595198›Full record

ArticleFrontiers in nutrition2021

Determining the Distinguishing Features of Different Eating Action Types in Germany Using a Mixed-Method Approach.

Lyn Lampmann, Agnes Emberger-Klein, Klaus Menrad

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Lyn LampmannChair of Marketing and Management of Biogenic Resources, Weihenstephan-Triesdorf University of Applied Sciences, Technical University of Munich Straubing for Biotechnology and Sustainability, Straubing, Germany.
Agnes Emberger-KleinChair of Marketing and Management of Biogenic Resources, Weihenstephan-Triesdorf University of Applied Sciences, Technical University of Munich Straubing for Biotechnology and Sustainability, Straubing, Germany.
Klaus MenradChair of Marketing and Management of Biogenic Resources, Weihenstephan-Triesdorf University of Applied Sciences, Technical University of Munich Straubing for Biotechnology and Sustainability, Straubing, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food-related behavior is a very complex topic, as it affects the most diverse areas of life. Accordingly, wide varieties of disciplines have already dealt with the topic to understand it better. The result is that there is neither a uniform nutrition knowledge nor a uniform nutrition behavior. In order to reduce the complexity of a field of study, there is the methodical means of type-building. Both commercial and academic studies have already formed nutrition types, either by means of standardized questionnaires or with a specific content focus. However, since both individual and social aspects influence food-related behavior, we investigate how people integrate eating into their everyday life against the background of (competing) individual and social demands by focusing on the individual point of view, for which a mixed methods approach is used. Based on 42 semi-structured, problem-centered interviews conducted in Germany in 2017, we built qualitative food-related types in a first step, which are analyzed in this article using a quantitative content analysis and cross-over analysis to identify the particular distinguishing feature(s) of each type and test them for significance. The results show the prominent characteristics for each type and indicate furthermore that subjectivization, self-determination, the body as an instrument of power, adaptation to the environment and being overstrained with the own behavior are particularly prominent when it comes to eating. Moreover, we clearly identified

Indexed as

cross-over analysisdata transformationeating action typemixed-methodsquantitative content analysis

Identifiers

PMID34595198
PMCPMC8477034

What OpenQuestion holds

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LicenceCC BY
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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.