Evidence map›Paper›PMID 42501948›Full record

Trial reportThe American journal of clinical nutrition2026

The validity of measuring energy and nutrient intake with the Remote Food Photography Method (RFPM) in adolescents.

Christoph Höchsmann, Hanim E Diktas, Candice A Myers, James L Dorling, Jennifer C Rood, Frank Greenway, Catherine M Champagne, John W Apolzan, Corby K Martin

2 registry-linked trialsAbstract readClinical TrialValidation Study
In one paragraph

Trial report in The American journal of clinical nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Not yet cited in PubMed.

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

NCT01719445 completednot on this map

Remote Food Photography for the Real-time Measurement of Children's Food Intake

TypeobservationalSponsorPennington Biomedical Research CenterRan2012 to 2014Enrolled53ConditionsComparison of Energy Intake Methods
NCT04148560 nacompletednot on this map

Validity of the Remote Food Photography Method to Measure Food Intake in Adolescents in Free-living Conditions

TypeinterventionalSponsorPennington Biomedical Research CenterRan2020 to 2025Enrolled29ConditionsDietary Assessment, Energy Intake, Food Intake, Food PhotographyArmsTests of the validity of the RFPM and SmartIntake app.
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Christoph HöchsmannPennington Biomedical Research Center, Baton Rouge, LA, United States; Department of Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Hanim E DiktasPennington Biomedical Research Center, Baton Rouge, LA, United States.
Candice A MyersPennington Biomedical Research Center, Baton Rouge, LA, United States.
James L DorlingPennington Biomedical Research Center, Baton Rouge, LA, United States; Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Jennifer C RoodPennington Biomedical Research Center, Baton Rouge, LA, United States.
Frank GreenwayPennington Biomedical Research Center, Baton Rouge, LA, United States.
Catherine M ChampagnePennington Biomedical Research Center, Baton Rouge, LA, United States.
John W ApolzanPennington Biomedical Research Center, Baton Rouge, LA, United States.
Corby K MartinPennington Biomedical Research Center, Baton Rouge, LA, United States. Electronic address: corby.martin@pbrc.edu.

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI CORBY K MARTIN · 2005 to 2026
$26.5M
Training in Obesity ResearchT32DK064584 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI CORBY K MARTIN, Christopher D Morrison · 2003 to 2026
$5.3M
Remote food photography for the real-time measurement of children's food intakeR01DK089051 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI MARTIN, CORBY K · 2011 to 2014
$1.5M
Leveraging machine learning and EMA data to identify factors that predict children's energy intakeF32HD116537 · NICHD · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Hanim Ecem Diktas · 2025 to 2026
$159k
NICHD NIH HHS F32 HD116537NIDDK NIH HHS P30 DK072476NIDDK NIH HHS R01 DK089051NIDDK NIH HHS T32 DK064584NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

backgroundThe remote food photography method (RFPM) accurately estimates energy intake (EI) in adults, but its validity in adolescents has yet to be tested. Given the low accuracy of self-reported dietary intake in adolescents, evaluating the validity of the RFPM in both controlled and free-living settings is crucial.

objectivesTo examine the validity of the RFPM in estimating adolescents' EI in controlled and free-living settings.

methodsIn Study 1, adolescents (n = 45) used the RFPM/SmartIntake application during 1) a laboratory test meal, 2) a cafeteria meal, and 3) 7 d of free-living intake, with EI estimations validated against weighed food intake, digital photography of foods method, and doubly labeled water, respectively. EI was measured under the same 3 settings with pen-and-paper food records. After refining the application and training, Study 2 (n = 22) repeated the protocol with a 3-d free-living period. For both studies, equivalence was evaluated using two one-sided t-tests (±10% bounds), and linear mixed models assessed RFPM error by participant characteristics.

resultsIn Study 1, RFPM estimates of EI were equivalent to the criterion measure during cafeteria meals [mean standard deviation (SD) error: 4.1 (120.8) kcal; P = 0.005] but were not equivalent for the laboratory test meal [mean (SD) error: 61.1 (112.7) kcal; P = 0.675] and 7 d of free-living intake [mean (SD) error: -887.9 (554.8) kcal/d; P > 0.99]. In Study 2, RFPM EI estimates were equivalent to the criterion measure in the controlled setting [mean (SD) error: -2.2 (86.5) kcal; P = 0.007], but not in free-living settings [mean (SD) error: -782.8 (947.0) kcal/d; P = 0.99]. In both studies, a higher body mass index (in kg/m

conclusionsThe RFPM can accurately estimate the meal-level EI of adolescents in controlled settings; however, significant underestimation occurred in free-living settings in both studies. Previous studies demonstrated the inability to accurately assess adolescents' free-living intake, and the current results extend these findings to the RFPM. This trial was registered at clinicaltrials.gov as Study 1: NCT01719445 (https://clinicaltrials.gov/study/NCT01719445) and Study 2: NCT04148560 (https://clinicaltrials.gov/study/NCT04148560).

Indexed as

Energy IntakePhotographyAdolescentDiet RecordsFemaleHumansMaleNutrition AssessmentReproducibility of Resultsadolescentsdietary assessmentdoubly labeled waterenergy intakeremote food photography methodRFPM

Identifiers

PMID42501948
PMCPMC13573646

What Socratic holds

Textmetadata
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Registered trials

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.