Evidence map›Paper›PMID 38019563›Full record

Trial reportJMIR mHealth and uHealth2023

Using Mobile Ecological Momentary Assessment to Understand Consumption and Context Around Online Food Delivery Use: Pilot Feasibility and Acceptability Study.

Si Si Jia, Margaret Allman-Farinelli, Rajshri Roy, Philayrath Phongsavan, Karice Hyun, Alice Anne Gibson, Stephanie Ruth Partridge

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2023. 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
–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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Development and usability of a mobile ecological momentary assessment platform for dietary surveillance in the U.S.The international journal of behavioral nutrition and physical activity · 2026
    Article
  4. Review
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.

Si Si JiaSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-0352-7970
Margaret Allman-FarinelliNutrition and Dietetics, Sydney School of Nursing, The University of Sydney, Sydney, Australia.ORCID 0000-0002-6478-1374
Rajshri RoyDiscipline of Nutrition and Dietetics, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-7939-1790
Philayrath PhongsavanCharles Perkins Centre, The University of Sydney, Sydney, Australia.ORCID 0000-0003-2460-5031
Karice HyunSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-0164-7725
Alice Anne Gibson *Charles Perkins Centre, The University of Sydney, Sydney, Australia.ORCID 0000-0001-8750-9720
Stephanie Ruth Partridge *School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0001-5390-3922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile ecological momentary assessment (EMA) is a powerful tool for collecting real-time and contextual data from individuals. As our reliance on online technologies to increase convenience accelerates, the way we access food is changing. Online food delivery (OFD) services may further encourage unhealthy food consumption habits, given the high availability of energy-dense, nutrient-poor foods. We used EMA to understand the real-time effects of OFD on individuals' food choices and consumption behaviors.

objectiveThe primary aims of this pilot study were to assess the feasibility and acceptability of using EMA in young users of OFD and compare 2 different EMA sampling methods. The secondary aims were to gather data on OFD events and their context and examine any correlations between demographics, lifestyle chronic disease risk factors, and OFD use.

methodsThis study used EMA methods via a mobile app (mEMASense, ilumivu Inc). Existing users of OFD services aged 16 to 35 years in Australia who had access to a smartphone were recruited. Participants were randomly assigned to 1 of 2 groups: signal-contingent or event-contingent. The signal-contingent group was monitored over 3 days between 7 AM and 10 PM. They received 5 prompts each day to complete EMA surveys via the smartphone app. In contrast, the event-contingent group was monitored over 7 days and was asked to self-report any instance of OFD.

resultsA total of 102 participants were analyzed, with 53 participants in the signal-contingent group and 49 participants in the event-contingent group. Compliance rates, indicating the feasibility of signal-contingent and event-contingent protocols, were similar at 72.5% (574/792) and 73.2% (251/343), respectively. Feedback from the participants suggested that the EMA app was not easy to use, which affected their acceptability of the study. Participants in the event-contingent group were 3.53 (95% CI 1.52-8.17) times more likely to have had an OFD event captured during the study. Pizza (23/124, 18.5%) and fried chicken (18/124, 14.5%) comprised a bulk of the 124 OFD orders captured. Most orders were placed at home (98/124, 79%) for 1 person (68/124, 54.8%). Age (incidence rate ratio 0.95, 95% CI 0.91-0.99; P=.03) and dependents (incidence rate ratio 2.01, 95% CI 1.16-3.49; P=.01) were significantly associated with the number of OFD events in a week after adjusting for gender, socioeconomic status, diet quality score, and perceived stress levels.

conclusionsThis pilot study showed that EMA using an event-contingent sampling approach may be a better method to capture OFD events and context than signal-contingent sampling. The compliance rates showed that both sampling methods were feasible and acceptable. Although the findings from this study have gathered some insight on the consumption and context of OFD in young people, further studies are required to develop targeted interventions.

Indexed as

Ecological Momentary AssessmentFoodAdolescentAdultFeasibility StudiesHumansNutrientsPilot ProjectsYoung AdultNutrientsadolescentconsumer behaviorecological momentary assessmentfeasibility studiesfood environmentmobile applicationsmobile appsmobile phoneonline food deliverysmartphoneyoung adult

Identifiers

PMID38019563
PMCPMC10719819

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.