Evidence map›Paper›PMID 30059770›Full record

ArticleAppetite2019

Subjective social status is associated with compensation for large meals - A prospective pilot study.

Nadeeja N Wijayatunga, Bridget Ironuma, John A Dawson, Bailey Rusinovich, Candice A Myers, Michelle Cardel, Gregory Pavela, Corby K Martin, David B Allison, Emily J Dhurandhar

Open access · greenAbstract read
In one paragraph

Article in Appetite, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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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

10 authors at 5 institutions in 1 country.

Nadeeja N WijayatungaDepartment of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA. Electronic address: nadeeja.wijayatunga@ttu.edu.
Bridget IronumaDepartment of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA. Electronic address: bridget.ironuma@ttu.edu.
John A DawsonDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA; Center for Biotechnology & Genomics, Texas Tech University, Lubbock, TX, USA. Electronic address: john.a.dawson@ttu.edu.
Bailey RusinovichDepartment of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA. Electronic address: bailey.rusinovich@ttu.edu.
Candice A MyersPennington Biomedical Research Center, Baton Rouge, LA, USA. Electronic address: candice.myers@pbrc.edu.
Michelle CardelDepartment of Health Outcomes & Policy, University of Florida, FL, USA. Electronic address: mcardel@ufl.edu.
Gregory PavelaDepartment of Health Behavior, School of Public Health, University of Alabama, Birmingham, AL, USA. Electronic address: pavela@uab.edu.
Corby K MartinPennington Biomedical Research Center, Baton Rouge, LA, USA. Electronic address: corby.martin@pbrc.edu.
David B AllisonSchool of Public Health-Bloomington, Indiana University, Bloomington, IN, USA. Electronic address: Allison@IU.edu.
Emily J DhurandharDepartment of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA. Electronic address: emily.dhurandhar@ttu.edu.
Texas Tech University · USPennington Biomedical Research Center · USAlabama Department of Public Health · USIndiana University Bloomington · USUniversity of Florida · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Sujoy Ghosh · 2005 to 2026
$26.5M
Socioeconomic Status and Subjective Social Status as Modifiers of Stressors and Discrimination in their Relationship with MetS Severity Over TimeR01HL120960 · NHLBI · WEST VIRGINIA UNIVERSITY · PI DEBOER, MARK DANIEL, GURKA, MATTHEW JAMES · 2014 to 2018
$2.1M
Strengthening Causal Inference in Behavioral Obesity ResearchR25HL124208 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B, BROWN, ANDREW W · 2014 to 2023
$1.8M
The Mathematical Sciences in Obesity ResearchR25DK099080 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DAVID B ALLISON, Andrew W Brown · 2013 to 2026
$1.2M
NCATS NIH HHS UL1 TR001427NHLBI NIH HHS R01 HL120960NHLBI NIH HHS R25 HL124208NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK072476NIDDK NIH HHS R25 DK099080NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

objectivesSubjective social status (SSS) is known to be inversely associated with obesity. Our objective was to determine if SSS is associated with eating behaviors that would predispose to weight gain, specifically, with inadequate compensation for excess energy consumed during a single large meal. Therefore, we conducted a pilot study to determine the association of SSS with 24-h energy balance, 24-h and post-lunch energy intake, changes in body composition and changes in adjusted resting energy expenditure on days when a high-energy lunch was consumed in free-living human subjects.

methodFemale participants (7 normal weight and 10 overweight) consumed 60% of' estimated 24-h energy requirements as a lunchtime meal in the laboratory for 14 days. Subjective social status was measured at baseline using the MacArthur Scale. Remote Food Photography Method was used to record food intake outside of the lab on days 1-2, 7-8, and 12-13. Associations of 24-h energy balance, 24-h and post-lunch energy intake, changes in adjusted resting energy expenditure and changes in percent body fat (measured by dual x-ray absorptiometry) with SSS were studied.

resultsMean (standard deviation) age and BMI were 36.29 (8.25) years and 26.43 (2.32) kg/m

conclusionsOur pilot data show that lower SSS is associated with higher post-lunch energy intake, which is indicative of poor energy compensation following a large meal. Over a longer time period, this could result in fat mass gain. Studies that are of longer duration and well-powered are warranted to confirm our findings.

Indexed as

Energy IntakeFeeding BehaviorSocial ClassAdultBody Mass IndexFemaleHumansLunchNutritional RequirementsOverweightPilot ProjectsProspective StudiesEnergy balanceObesitySocioeconomic statusSubjective social status

Identifiers

PMID30059770
PMCPMC6444908
OpenAlexW2884903741

What OpenQuestion holds

Textmetadata
LicenceTDM
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.