Evidence map›Paper›PMID 26040640›Full record

Trial reportThe American journal of clinical nutrition2015

Validation of an inexpensive and accurate mathematical method to measure long-term changes in free-living energy intake.

Arjun Sanghvi, Leanne M Redman, Corby K Martin, Eric Ravussin, Kevin D Hall

Abstract readClinical TrialValidation Study
In one paragraph

Trial report in The American journal of clinical nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Do eating behavior traits predict energy intake and body mass index? A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023
    Pooled it
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  15. Predicting energy intake in adults who are dieting and exercising.International journal of obesity (2005) · 2022
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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

5 authors at 3 institutions in 1 country.

Arjun SanghviNational Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD; and.
Leanne M RedmanPennington Biomedical Research Center, Baton Rouge, LA.
Corby K MartinPennington Biomedical Research Center, Baton Rouge, LA.
Eric RavussinPennington Biomedical Research Center, Baton Rouge, LA.
Kevin D HallNational Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD; and kevinh@niddk.nih.gov.
Pennington Biomedical Research Center · USNational Institute of Diabetes and Digestive and Kidney Diseases · USNational Institutes of Health · US

Funding

Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2005 to 2026
$26.5M
Coordinating Center for CALERIEU01AG022132 · NIA · DUKE UNIVERSITY · PI KRAUS, WILLIAM E · 2002 to 2013
$24.9M
Metabolic Adaptations to Two Year Caloric RestrictionU01AG020478 · NIA · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI RAVUSSIN, ERIC · 2002 to 2008
$13.4M
Caloric Restriction and Aging in HumansU01AG020487 · NIA · WASHINGTON UNIVERSITY · PI HOLLOSZY, JOHN O. · 2001 to 2009
$8.9M
Dietary Energy Restriction and Metabolic Aging in HumansU01AG020480 · NIA · TUFTS UNIVERSITY BOSTON · PI ROBERTS, SUSAN B · 2002 to 2008
$8.2M
Computational modeling of human metabolism, body weight and compositionZIADK013036 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HALL, KEVIN · 2009 to 2024
$3.6M
NIA NIH HHS U01AG020478NIA NIH HHS U01AG020480NIA NIH HHS U01AG020487NIA NIH HHS U01AG022132NIDDK NIH HHS P30 DK072476NIDDK NIH HHS P30DK072476
6 · The paper itself

Abstract

backgroundAccurate measurement of free-living energy intake (EI) over long periods is imperative for understanding obesity and its treatment. Unfortunately, traditional methods rely on self-report and are notoriously inaccurate. Although EI can be indirectly estimated by the intake-balance method, this technique is prohibitively labor-intensive and expensive, requiring repeated measures of energy expenditure via doubly labeled water (DLW) along with multiple dual-energy X-ray absorptiometry (DXA) scans to measure changes in body energy stores.

objectiveOur objective was to validate a mathematical method to measure long-term changes in free-living energy intake.

designWe measured body weight and EI changes (ΔEI) over 4 time intervals by using the intake-balance method in 140 individuals who underwent 2 y of caloric restriction as part of the Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy study. We compared the ΔEI values calculated by using DLW/DXA with those obtained by using a mathematical model of human metabolism whose only inputs were the initial demographic information and repeated body weight data.

resultsThe mean ΔEI values calculated by the model were within 40 kcal/d of the DLW/DXA method throughout the 2-y study. For individual subjects, the overall root mean square deviation between the model and DLW/DXA method was 215 kcal/d, and most of the model-calculated ΔEI values were within 132 kcal/d of the DLW/DXA method.

conclusionsAccurate and inexpensive estimates of ΔEI that are comparable to the DLW/DXA method can be obtained by using a mathematical model and repeated body weight measurements.

Indexed as

Diet, ReducingEnergy IntakeModels, BiologicalNutrition AssessmentWeight LossAdultAlgorithmsBody Mass IndexBody WeightCaloric RestrictionEnergy MetabolismFemaleHumansMaleMiddle AgedNational Institute of Diabetes and Digestive and Kidney Diseases (U.S.)caloric restrictiondietary assessmentenergy balanceenergy intakemathematical modelingweight loss

Identifiers

PMID26040640
PMCPMC4515869
OpenAlexW2136696387

What OpenQuestion holds

Textmetadata
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.