Evidence map›Paper›PMID 36844645›Full record

ArticleHealth psychology research2023

Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis.

Sebastiano Battiato, Pasquale Caponnetto, Roberto Leotta, Giovanni Marotta, Alessandro Midolo, Alessandro Ortis, Riccardo Polosa

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In one paragraph

Article in Health psychology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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.

Sebastiano Battiato
Pasquale Caponnetto
Roberto Leotta
Giovanni Marotta
Alessandro Midolo
Alessandro Ortis
Riccardo Polosa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: different studies revealed strong correlation between smoking cessation and a worsening of the diet, whose consequence include loss of appetite, weight loss, etc. Objective: the objective of FoodRec project is to exploit technology to monitor the dietary habits of people during their smoke quitting process, catching relevant changes which can affect the patient health and the success of the process. This work was an uncontrolled pre-test post-test open pilot study in which an interdisciplinary group created an app for food recognition (FoodRec) to monitor their mood status and dietary habits during the test period. Methods: participants used the FoodRec App for two consecutive weeks for usability and suitability assessment. Tests included 149 smokers involved in a smoke quitting process, aged between 19 and 80. For the quantitative test, data were analyzed regarding users features, meals uploads, mood states and drink intakes. For the qualitative test, a user evaluation test of the app has been performed with four assignments being carried out on a group of 50 participants. Results: the App was perceived as extremely user-friendly and lightweight. It also turned out to be useful in the perception of users' dietary habits and helpful in relieving the stress of a food intake reduction process. Conclusion: this work investigated the role and impact of the FoodRec App in a large international and multicultural context. The experience gained in the current study will be used to modify and refine the large international RCT protocol version of the app.

Indexed as

addictiondietary inferencediet self-monitoringfood recognitionmobile appmood detection

Identifiers

PMID36844645
PMCPMC9946798

What OpenQuestion holds

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Registered trials

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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.