Evidence map›Paper›PMID 28335382›Full record

ArticleNutrients2017

Feasibility of Assessing Diet with a Mobile Food  Record for Adolescents and Young Adults with  Down Syndrome.

Katherine E Bathgate, Jill L Sherriff, Helen Leonard, Satvinder S Dhaliwal, Edward J Delp, Carol J Boushey, Deborah A Kerr

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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 at 4 institutions in 2 countries.

Katherine E BathgateSchool of Public Health, Curtin University, Perth WA 6845, Australia. Helen.Leonard@telethonkids.org.au.
Jill L SherriffSchool of Public Health, Curtin University, Perth WA 6845, Australia. j.sherriff@curtin.edu.au.
Helen LeonardTelethon Kids Institute, University of Western Australia, West Perth WA 6872, Australia. Helen.Leonard@telethonkids.org.au.
Satvinder S DhaliwalSchool of Public Health, Curtin University, Perth WA 6845, Australia. S.Dhaliwal@curtin.edu.au.
Edward J DelpSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA. ace@ecn.purdue.edu.
Carol J BousheyEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA and the Nutrition Program, Purdue University, West Lafayette, IN 47907, USA. CJBoushey@cc.hawaii.edu.
Deborah A KerrSchool of Public Health, Curtin University, Perth WA 6845, Australia. d.kerr@curtin.edu.au.
Curtin University · AUThe Kids Research Institute Australia · AUPurdue University West Lafayette · USUniversity of Hawaiʻi at Mānoa · US

Funding

Improving Dietary Assessment Methods Using the Cell Phone and Digital ImagingU01CA130784 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI BOUSHEY, CAROL J · 2007 to 2010
$2.1M
Improving Diet Assessment in AdolescentsR01DK073711 · NIDDK · PURDUE UNIVERSITY · PI BOUSHEY, CAROL J · 2007 to 2009
$904k
Improving Diet Assessment in AdolescentsR56DK073711 · NIDDK · PURDUE UNIVERSITY · PI EICHER-MILLER, HEATHER · 2010 to 2010
$562k
NCI NIH HHS U01 CA130784NIDDK NIH HHS R01 DK073711NIDDK NIH HHS R56 DK073711
6 · The paper itself

Abstract

Technology-based methods for assessing diet in those with disability remains largely unexplored. The aim was to assess the feasibility of assessing diet with an image-based mobile food record application (mFR) in 51 adolescents and young adults with Down syndrome (PANDs). Adherence was also assessed with the instruction to include a fiducial marker object in the before and after eating images. The PANDs sample completed a four-day mFR and results were compared with a sample of young adults from the Connecting Health and Technology study (CHAT, n = 244). Compared to the CHAT sample, PANDs participants reported more fruit (2.2 ± 1.8 versus 1.0 ± 0.9 serves respectively) and vegetables (2.4 ± 1.3 versus 1.9 ± 1.0 serves, respectively), but no differences in energy-dense nutrient-poor (EDNP) foods and beverages were observed. Compared to CHAT, PANDs participants captured fewer images with the mFR (4.9 ± 2.3 versus 4.0 ± 1.5 images, respectively). Adherence to the instruction to include the fiducial marker in images was lower for PANDs compared with the CHAT sample (90.3% versus 96.5%). Due to the quality of information captured in images and the high acceptability of the fiducial marker, the mFR shows great promise as a feasible method of assessing diet in adolescents and young adults with Down syndrome.

Indexed as

DietDown SyndromeMobile ApplicationsNutrition AssessmentAdolescentAdultBeveragesBody CompositionChildCross-Sectional StudiesDiet RecordsExerciseFeasibility StudiesFemaleFruitHumansadolescentsdietary assessmentDown syndromemobile food recordnovel technologyyoung adults

Identifiers

PMID28335382
PMCPMC5372936
OpenAlexW2596484998

What OpenQuestion 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 OpenQuestion graph.