Evidence mapPaperPMID 40070464Full record

ArticleObesity science & practice2025

Using Metabolic Testing to Personalize Behavioral Obesity Treatment.

Leonard H Epstein, John W Apolzan, Molly Moore, Nicholas V Neuwald, Myles S Faith

Abstract read
In one paragraph

Article in Obesity science & practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Clinically effective child change in family-based behavioral treatment for pediatric obesity: An individual participant mega-analysis.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
    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

5 authors.

Leonard H EpsteinDepartment of Pediatrics Jacobs School of Medicine and Biomedical Sciences University at Buffalo Buffalo New York USA.ORCID https://orcid.org/0000-0003-1167-8848
John W ApolzanPennington Biomedical Research Center Louisiana State University System LA University at Buffalo Baton Rouge Louisiana USA.
Molly MooreDepartment of Counseling School and Educational Psychology University at Buffalo Buffalo New York USA.
Nicholas V NeuwaldDepartment of Pediatrics Jacobs School of Medicine and Biomedical Sciences University at Buffalo Buffalo New York USA.
Myles S FaithDepartment of Counseling School and Educational Psychology University at Buffalo Buffalo New York USA.

Funding

New York Regional Center for Diabetes Translation ResearchP30DK111022 · ALBERT EINSTEIN COLLEGE OF MEDICINE · 2025 to 2025
$810k
NHLBI NIH HHS U01 HL131552NICHD NIH HHS R01 HD080292NICHD NIH HHS R01 HD088131NIDDK NIH HHS P30 DK111022NIDDK NIH HHS UH3 DK109543NLM NIH HHS R01 LM012836
6 · The paper itself

Abstract

Background: There are large individual differences in weight loss and maintenance. Metabolic testing can provide phenotypical information that can be used to personalize treatment so that people remain in negative energy balance during weight loss and remain in energy balance during maintenance. Behavioral testing can assess the reinforcing value and change in the temporal window related to the personalized diet and exercise program to motivate people to maintain engagement in healthier eating and activity programs. Objective: Provide an expository overview of how metabolic testing can be used to personalize weight control. Ideas about incorporating behavioral economic concepts are also included. Methods: A broad overview of how resting metabolic rate, thermic effect of food and respiratory quotient can be used to improve weight control. Also discussed are behavioral economic principles that can maximize adherence to diet and activity protocols. Results: Research suggests that measuring metabolic rate can be used to set calorie goals for weight loss and maintenance, thermic effect of food to increase energy expenditure, and respiratory quotient to guide macronutrient composition of the diet and maximize fat loss. Developing programs that foster a strong motivation to eat healthier and be active can maximize treatment success. Conclusion: Incorporating metabolic measures can personalize behavioral weight loss programs, and the use of behavioral economic principles can increase the probability of adherence and long-term success in weight control.

Indexed as

behavioral weight losschildhood obesitydelay discountingmetabolic testingpersonalized metabolic testingreinforcing valueresting metabolic ratesubstrate oxidationthermic effect of food

Identifiers

PMID40070464
PMCPMC11894463

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.