Evidence map›Paper›PMID 34444780›Full record

ArticleNutrients2021

High BMI Predicts Attention to Less Healthy Product Sets: Can a Prompt Lead to Consideration of Healthier Sets of Products?

Christopher R Gustafson, Kristina Arslain, Devin J Rose

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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.

Christopher R GustafsonDepartment of Agricultural Economics, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.ORCID 0000-0001-6894-9456
Kristina ArslainDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0001-6243-4216
Devin J RoseDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0002-1333-6318

Funding

University of Nebraska-Lincoln Agricultural Research Division Wheat Innovation Fund NA
6 · The paper itself

Abstract

While the food environment has been implicated in diet-related health disparities, individuals' ability to shape the food environment by limiting attention to a subset of products has not been studied. We examine the relationship between BMI category and consideration set-the products the individual considers before making a final choice-in an online hypothetical shopping experiment. Specifically, we focus on the healthiness of the consideration set the individual selected. Secondly, we examined the interaction of a health prompt (versus a no-prompt control) with BMI category on the healthiness of the consideration set. We used linear probability models to document the relationship between weight status and consideration set, between prompt and consideration set, and the effect of the interaction between prompt and weight status on consideration set. We found that (1) obese individuals are 10% less likely to shop from a consideration set that includes the healthy options, (2) viewing the prompt increased the probability of choosing a healthy consideration set by 9%, and (3) exposure to the prompt affected individuals in different BMI categories equally. While obese individuals are more likely to ignore healthier product options, a health-focused prompt increases consideration of healthy options across all BMI categories.

Indexed as

AttentionBody Mass IndexFoodAdultChoice BehaviorConsumer BehaviorDietFemaleFood PreferencesHumansMaleMiddle AgedOnline SystemsUnited Statesattentionconsideration setexperimentfood choicehealth promptonline supermarketweight status

Identifiers

PMID34444780
PMCPMC8400244

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.