Evidence map›Paper›PMID 30078673›Full record

ReviewAppetite2019

Evolutionary considerations on social status, eating behavior, and obesity.

Ann E Caldwell, R Drew Sayer

Abstract readReview
In one paragraph

Review in Appetite, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. A Systematic Review and Meta-Analytic Assessment of Unpredictability and Disordered Eating.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Article
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  10. Behavioural susceptibility theory: the role of appetite in genetic susceptibility to obesity in early life.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  11. An adiposity force induces obesity in humans independently of a normal energy balance system-a thought experiment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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

2 authors.

Ann E CaldwellUniversity of Colorado Anschutz Medical Campus, University of Colorado, Anschutz Health and Wellness Center, USA; University of Colorado Anschutz Medical Campus, Division of Endocrinology, Metabolism, and Diabetes, USA. Electronic address: ann.caldwell@ucdenver.edu.
R Drew SayerUniversity of Colorado Anschutz Medical Campus, University of Colorado, Anschutz Health and Wellness Center, USA; University of Colorado Anschutz Medical Campus, Division of Endocrinology, Metabolism, and Diabetes, USA.

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
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
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
Obesity and Cardiovascular Disease: Opportunity for Post-Doctoral TrainingT32HL116276 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ECKEL, ROBERT H · 2014 to 2018
$1.2M
NHLBI NIH HHS T32 HL116276NIDDK NIH HHS P30 DK048520NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

Lower socioeconomic status (SES) is consistently related to higher obesity risk, especially in women living in developed countries such as the United States and Western Europe. Prevailing theories to describe this relationship have focused primarily on proximate level factors such as the generally poorer food environment (e.g. relative lack of healthy food options and higher concentrations of fast food restaurants) found in lower vs. higher SES neighborhoods and the higher financial costs associated with purchasing healthy, nutrient-dense foods compared to unhealthy, energy-dense foods. These factors are hypothesized to preclude the purchase of these foods by lower SES individuals. Unfortunately, public health interventions aimed at improving the food environment of lower SES communities and to provide financial resources for purchasing healthy foods have had limited success in reducing overall energy intake and body weight. Some evidence suggests these interventions may even exacerbate obesity. More recent hypotheses have shifted the focus to ultimate (or adaptive) factors that view increased energy intake and accrual of body fat among individuals of lower social status as adaptive strategies to protect against potential prolonged food scarcity. The purpose of this review is integrate past research at the proximate and ultimate levels with a consideration of how social status and SES during development (in utero through adolescence) may moderate the relationships between social status, eating behavior, and obesity. Utilizing an evolutionary framework that incorporates life history theory can lead to more integrative and thorough interpretations of past research and allow researchers to better elucidate the complex set of environmental, physiological, psychological, and behavioral factors that influence obesity risk among individuals of lower social status.

Indexed as

Feeding BehaviorSocial ClassAdaptation, PhysiologicalAnimalsBiological EvolutionBody WeightEnergy IntakeFood SupplyHumansObesityEatingEvolutionLife history theoryObesitySocial statusSocioeconomic status

Identifiers

PMID30078673
PMCPMC7039671

What OpenQuestion holds

Textmetadata
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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.