Evidence map›Paper›PMID 29341825›Full record

ArticleAmerican journal of physiology. Regulatory, integrative and comparative physiology2018

A predictive model of rat calorie intake as a function of diet energy density.

Rahmatollah Beheshti, Yada Treesukosol, Takeru Igusa, Timothy H Moran

Abstract read
In one paragraph

Article in American journal of physiology. Regulatory, integrative and comparative physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Rahmatollah BeheshtiJohns Hopkins Global Obesity Prevention Center , Baltimore, Maryland.ORCID 0000-0001-8912-3063
Yada TreesukosolDepartment of Psychology, California State University , Long Beach, California.
Takeru IgusaJohns Hopkins Global Obesity Prevention Center , Baltimore, Maryland.
Timothy H MoranJohns Hopkins Global Obesity Prevention Center , Baltimore, Maryland.

Funding

Gastrointestional Integration and FeedingR01DK019302 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI MORAN, TIMOTHY H · 1986 to 2019
$7.1M
NIDDK NIH HHS R01 DK019302
6 · The paper itself

Abstract

Easy access to high-energy food has been linked to high rates of obesity in the world. Understanding the way that access to palatable (high fat or high calorie) food can lead to overconsumption is essential for both preventing and treating obesity. Although the body of studies focused on the effects of high-energy diets is growing, our understanding of how different factors contribute to food choices is not complete. In this study, we present a mathematical model that can predict rat calorie intake to a high-energy diet based on their ingestive behavior to a standard chow diet. Specifically, we propose an equation that describes the relation between the body weight ( W), energy density ( E), time elapsed from the start of diet ( T), and daily calorie intake ( C). We tested our model on two independent data sets. Our results show that the suggested model can predict the calorie intake patterns with high accuracy. Additionally, the only free parameter of our proposed equation (ρ), which is unique to each animal, has a strong correlation with their calorie intake.

Indexed as

Behavior, AnimalEnergy IntakeEnergy MetabolismFeeding BehaviorModels, BiologicalNutritive ValueAnimal FeedAnimalsBody WeightFood PreferencesMaleRats, Sprague-DawleyTime Factorshigh-energy dietpalatabilitypredictive modelrats

Identifiers

PMID29341825
PMCPMC6139618

What OpenQuestion holds

Textmetadata
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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.