Evidence map›Paper›PMID 28847565›Full record

ArticleAppetite2018

What does a person's eating identity add to environmental influences on fruit and vegetable intake?

Xiaonan Ma, Christine E Blake, Timothy L Barnes, Bethany A Bell, Angela D Liese

Abstract read
In one paragraph

Article in Appetite, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
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  6. Review
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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

5 authors.

Xiaonan MaDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Christine E BlakeDepartment of Health Promotion, Education, & Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Timothy L BarnesChildren's Minnesota Research Institute, Children's Hospitals and Clinics of Minnesota, Minneapolis, MN, USA.
Bethany A BellCollege of Social Work, University of South Carolina, Columbia, SC, USA.
Angela D LieseDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA. Electronic address: liese@sc.edu.

Funding

Developing Measures of the Built Nutritional EnvironmentR21CA132133 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LAWSON, ANDREW B., LIESE, ANGELA D · 2008 to 2010
$663k
NCI NIH HHS R21 CA132133
6 · The paper itself

Abstract

objectiveTo evaluate whether knowledge of a person's eating identity (EI) can explain any additional variation in fruit and vegetable intake above and beyond that explained by food environment characteristics, perceptions of the food environment, and shopping behaviors.

designCross-sectional study.

settingA total of 968 adults were recruited for a telephone survey by the Survey Research Laboratory in an eight-county region in South Carolina. SUBJECTS: The survey queried information on shopping behaviors, perceptions of the food environment, demographic and address information, fruit and vegetable intake, and EI. EI was assessed using the Eating Identity Type Inventory, a 12-item instrument that differentiates four eating identity types: healthy, emotional, meat, and picky. Statistical analyses were restricted to 819 participants with complete data.

resultsHealthy EI and picky EI were significantly and directly related to fruit and vegetable intake, with coefficients of 0.31 (p-value<0.001) for healthy EI and -0.16 (p-value<0.001) for picky EI, whereas emotional EI (β = 0.00, p-value = 0.905) and meat EI (β = -0.04, p-value = 0.258) showed no association. Shopping frequency also directly and significantly influenced fruit and vegetable intake (β = 0.13, p-value = 0.033). With the inclusion of EI, 16.3% of the variation in fruit and vegetable intake was explained.

conclusionsPerceptions and GIS-based measures of environmental factors alone do not explain a substantial amount of variation in fruit and vegetable intake. EI, especially healthy EI and picky EI, is an important, independent predictor of fruit and vegetable intake and contributes significantly to explaining the variation in fruit and vegetable intake.

Indexed as

FruitSocial ChangeVegetablesAdultAgedChoice BehaviorCross-Sectional StudiesDietDiet SurveysEatingFemaleFood PreferencesHealth BehaviorHumansMaleMiddle AgedEating identityEnvironmentalFruit and vegetable intakeGIS-BasedPerceptions

Identifiers

PMID28847565
PMCPMC5680107

What OpenQuestion holds

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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.