Evidence mapPaperPMID 34684341Full record

ArticleNutrients2021

Preference, Expected Burden, and Willingness to Use Digital and Traditional Methods to Assess Food and Alcohol Intake.

Christoph Höchsmann, Nicole Fearnbach, James L Dorling, Tera L Fazzino, Candice A Myers, John W Apolzan, Corby K Martin

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Selecting foods from FNDDS when calculating food intake: Does the reference matter?Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems · 2024
    Article
  6. Article
  7. 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

7 authors.

Christoph HöchsmannPennington Biomedical Research Center, Baton Rouge, LA 70808, USA.ORCID 0000-0003-2007-3007
Nicole FearnbachPennington Biomedical Research Center, Baton Rouge, LA 70808, USA.ORCID 0000-0001-9208-830X
James L DorlingPennington Biomedical Research Center, Baton Rouge, LA 70808, USA.ORCID 0000-0002-1917-2828
Tera L FazzinoCofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, KS 66045, USA.
Candice A MyersPennington Biomedical Research Center, Baton Rouge, LA 70808, USA.ORCID 0000-0003-1923-3448
John W ApolzanPennington Biomedical Research Center, Baton Rouge, LA 70808, USA.ORCID 0000-0001-8492-7820
Corby K MartinPennington Biomedical Research Center, Baton Rouge, LA 70808, USA.ORCID 0000-0002-8125-4015

Funding

Louisiana Clinical and Translational Science CenterU54GM104940 · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · 2025 to 2025
$3.9M
Pilot and Feasibility ProgramP30DK072476 · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · 2005 to 2025
$2.2M
Training in Obesity ResearchT32DK064584 · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · 2003 to 2025
$932k
American Heart Association 20POST35210907NIDDK NIH HHS P30DK072476NIDDK NIH HHS T32DK064584NIGMS NIH HHS U54 GM104940NIGMS NIH HHS U54GM104940NIH R01 DK124558
6 · The paper itself

Abstract

We conducted an online survey to examine the preference, expected burden, and willingness of people to use four different methods of assessing food and alcohol intake such as food/drink record, 24-h recall, Remote Food Photography Method© (RFPM, via SmartIntake

Indexed as

Choice BehaviorDigital TechnologyFeeding BehaviorAdultAgedAlcohol DrinkingFemaleHumansMaleMiddle Agedalcoholdiet recallfood intakefood recordsPortionSizeRFPM

Identifiers

PMID34684341
PMCPMC8539386

What Socratic holds

Textmetadata
LicenceCC BY
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.