Evidence map›Paper›PMID 41156554›Full record

ArticleNutrients2025

Temporal Eating Patterns and Ultra-Processed Food Consumption Assessed from Mobile Food Records of Australian Adults.

Janelle D Healy, Satvinder S Dhaliwal, Christina M Pollard, Amelia J Harray, Lauren Blekkenhorst, Fengqing Zhu, Deborah A Kerr

Abstract read
In one paragraph

Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

7 authors.

Janelle D HealyCurtin School of Population Health, Curtin University, GPO Box U1987, Perth, WA 6845, Australia.
Satvinder S DhaliwalCurtin School of Population Health, Curtin University, GPO Box U1987, Perth, WA 6845, Australia.
Christina M PollardCurtin School of Population Health, Curtin University, GPO Box U1987, Perth, WA 6845, Australia.ORCID 0000-0003-4261-4601
Amelia J HarrayMedical School, The University of Western Australia, Verdun Street, Nedlands, WA 6009, Australia.ORCID 0000-0002-1534-467X
Lauren BlekkenhorstNutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia.
Fengqing ZhuElmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-3863-3220
Deborah A KerrCurtin School of Population Health, Curtin University, GPO Box U1987, Perth, WA 6845, Australia.ORCID 0000-0002-1094-1299

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
Australian Government Research Training Program ScholarshipEast Metropolitan Health Service SupportGovernment of Western Australia Department of Health SupportHealthway Health Promotion Research GrantNational Health and Medical Research Council 1172987NCI NIH HHS 1U01CA130784-01NCI NIH HHS U01 CA130784NIDDK NIH HHS 1R01-DK073711-01A1NIDDK NIH HHS R01 DK073711
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Diet RecordsFast FoodsFeeding BehaviorAdolescentAdultAgedAge FactorsAustraliaEnergy IntakeFemaleFood, ProcessedHumansLogistic ModelsMaleMiddle AgedTime Factorschrono-nutritiondietary assessmentdietary patternsdigital healthmobile food recordtemporal patternsultra-processed foods

Identifiers

PMID41156554
PMCPMC12567354

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.