Evidence map›Paper›PMID 37990669›Full record

ArticleObesity pillars2022

Sustainable nutritional behavior change (SNBC) model: How personal nutritional decisions bring about sustainable change in nutritional behavior.

Shoma Berkemeyer, Johanna Wehrmann

Open access · diamondAbstract read
In one paragraph

Article in Obesity pillars, 2022. 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
0.2field-weighted citation impact, top 41% of its field
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 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Shoma BerkemeyerOsnabrueck University of Applied Sciences, Faculty of Agricultural Sciences and Landscape, Am Krümpel 31, 49090, Osnabrueck, Germany.
Johanna WehrmannOsnabrueck University of Applied Sciences, Faculty of Agricultural Sciences and Landscape, Am Krümpel 31, 49090, Osnabrueck, Germany.
FH Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this qualitative study was to identify a practice level model that could explain a sustained change in nutritional behavior. Methods: The study used three data inputs from four interviewees, one merged input from a married couple, as narrative interviews. The interviews were analyzed using grounded theory. Results: Coexistence of a certain suffering and a triggering episode lead to the decision to change nutritional life-style by all interviewed. Maintenance of the self-determined newly learned nutritional behavior was supported by subject-related intrinsic motivation, the ability to reflect, and a low expectation of success from the behavioral change. Environment-related factors were identified as support from life-partner and peers. Subjects reported that the sustained nutritional behavior change impacted their holistic health through subject-perceived improved life quality, increase in the number of social contacts, and a change in personal attitudes and perception. The analysis remains limited, and at best hypothesis generating, in that only three data inputs from four interviewees were used. Conclusion: In this hypothesis-generating narrative interview study of four study subjects, volition, personal decision making, and long-term motivation (though not external determination) seemed to sustain a change in newly learned nutritional behavior.

Indexed as

BehaviorDietGrounded theoryHealthInterdisciplinarynarrativeNutritional sciencesTheoretical models

Identifiers

PMID37990669
PMCPMC10661968
OpenAlexW4311906433

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.