Evidence map›Paper›PMID 28363804›Full record

ArticleJournal of nutrition education and behavior2017

Clusters of Healthy and Unhealthy Eating Behaviors Are Associated With Body Mass Index Among Adults.

William J Heerman, Natalie Jackson, Margaret Hargreaves, Shelagh A Mulvaney, David Schlundt, Kenneth A Wallston, Russell L Rothman

Abstract read
In one paragraph

Article in Journal of nutrition education and behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  8. Do Weight Suppression and Body Mass Index Predict Daily Body Image and Eating Urges in Non-Clinical Adults?European eating disorders review : the journal of the Eating Disorders Association · 2026
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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

7 authors.

William J HeermanGeneral Pediatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine and Public Health, Vanderbilt University, Nashville, TN; Center for Health Services Research, Vanderbilt University, Nashville, TN. Electronic address: Bill.Heerman@vanderbilt.edu.
Natalie JacksonDepartment of Internal Medicine and Public Health, Vanderbilt University, Nashville, TN; Center for Health Services Research, Vanderbilt University, Nashville, TN.
Margaret HargreavesDepartment of Internal Medicine, Meharry Medical College, Nashville, TN.
Shelagh A MulvaneyDepartment of Internal Medicine and Public Health, Vanderbilt University, Nashville, TN; School of Nursing, Vanderbilt University, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN.
David SchlundtCenter for Health Services Research, Vanderbilt University, Nashville, TN.
Kenneth A WallstonSchool of Nursing, Vanderbilt University, Nashville, TN.
Russell L RothmanDepartment of Internal Medicine and Public Health, Vanderbilt University, Nashville, TN; Center for Health Services Research, Vanderbilt University, Nashville, TN.

Funding

Vanderbilt Center for Diabetes Translation ResearchP30DK092986 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MILLER-HUGHES, STEPHANIA · 2011 to 2020
$6.7M
GROW Baby: Improving Maternal Gestational Weight Gain and Infant Growth in the Growing Right Onto Wellness (GROW) TrialK23HL127104 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEERMAN, WILLIAM · 2016 to 2020
$914k
AHRQ HHS K12 HS022990NHLBI NIH HHS K23 HL127104NIDDK NIH HHS P30 DK092986
6 · The paper itself

Abstract

objectiveTo identify eating styles from 6 eating behaviors and test their association with body mass index (BMI) among adults.

designCross-sectional analysis of self-report survey data.

settingTwelve primary care and specialty clinics in 5 states.

participantsOf 11,776 adult patients who consented to participate, 9,977 completed survey questions. VARIABLES MEASURED: Frequency of eating healthy food, frequency of eating unhealthy food, breakfast frequency, frequency of snacking, overall diet quality, and problem eating behaviors. The primary dependent variable was BMI, calculated from self-reported height and weight data. ANALYSIS: k-Means cluster analysis of eating behaviors was used to determine eating styles. A categorical variable representing each eating style cluster was entered in a multivariate linear regression predicting BMI, controlling for covariates.

resultsFour eating styles were identified and defined by healthy vs unhealthy diet patterns and engagement in problem eating behaviors. Each group had significantly higher average BMI than the healthy eating style: healthy with problem eating behaviors (β = 1.9; P < .001), unhealthy (β = 2.5; P < .001), and unhealthy with problem eating behaviors (β = 5.1; P < .001). CONCLUSIONS AND IMPLICATIONS: Future attempts to improve eating styles should address not only the consumption of healthy foods but also snacking behaviors and the emotional component of eating.

Indexed as

Body Mass IndexAdultAgedCluster AnalysisCross-Sectional StudiesDietFeeding BehaviorFemaleHealth BehaviorHumansMaleMiddle AgedObesitybehavioral sciencebody mass indexeating patternsnutritionobesity

Identifiers

PMID28363804
PMCPMC5747265

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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.